Contamination characteristics, source apportionment, and health risk assessment of heavy metals in agricultural soil in the Hexi Corridor
[Display omitted] •Geochemical baseline values of heavy metal in agricultural soil were evaluated.•The indexes of PI, EI and RI revealed that soil was moderately polluted wholly.•Apply geostatistical analysis, PMF and health risk model to obtain sources.•There were no significant carcinogenic and no...
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| Published in | Catena (Giessen) Vol. 191; p. 104573 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier B.V
01.08.2020
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| Abstract | [Display omitted]
•Geochemical baseline values of heavy metal in agricultural soil were evaluated.•The indexes of PI, EI and RI revealed that soil was moderately polluted wholly.•Apply geostatistical analysis, PMF and health risk model to obtain sources.•There were no significant carcinogenic and non-carcinogenic risk effects.•Agriculture, industry and traffic were the main and priority pollution sources.
To determine the heavy metal contamination of agricultural soil in the Hexi Corridor, 376 soil samples were collected and analyzed for their heavy metal content. The geochemical baseline value (GBV), single-factor pollution index (PI), ecological risk of a single heavy metal, and comprehensive ecological risk index (RI) were used to assess the degree of pollution. Geostatistical analysis, positive matrix factorization (PMF), and a health risk assessment model were used to determine the primary sources of pollution and priority sources. Although the mean Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, and Pb concentrations (2717, 62.85, 48.23, 511.6, 24827, 51.29, 26.47, 53.98, 12.39, 16.85 mg•kg−1 in the west, 3046, 72.15, 59.32, 598.1, 27614, 54.57, 29.55, 59.47, 13.63, 20.74 mg•kg−1 in the center, and 2558, 61.02, 39.67, 466.7, 22575, 39.94, 26.06, 54.81, 11.86, 20.38 mg•kg−1 in the east, respectively) did not exceed the national critical values, approximately 1% of the west As samples did exceed their critical values. The mean concentrations of the heavy metals were less than their corresponding GBVs. The PI and RI revealed that the agricultural soil was moderately polluted, at low ecological risk, and the least polluted in the center. Based on PMF, Factor 1 represented metal processing; Factor 2 represented the mixed sources of electroplating and smelting in the west and center, and the mixed sources of mining and agricultural activities in the east; Factor 3 was ascribed to agriculture; and Factor 4 was the mixed sources of atmospheric deposition and traffic emission. The main pollution source, Factor 4 in the west and east and Factor 2 in the center, had the highest percent proportion of total metals and priority pollution sources, thus contributing the most to the carcinogenic (Factor 2 in the west and Factor 3 in the center and east) and non-carcinogenic risks (Factor 2 for adults and Factor 1 for children in the west and Factor 3 in the center and east), respectively. |
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| AbstractList | To determine the heavy metal contamination of agricultural soil in the Hexi Corridor, 376 soil samples were collected and analyzed for their heavy metal content. The geochemical baseline value (GBV), single-factor pollution index (PI), ecological risk of a single heavy metal, and comprehensive ecological risk index (RI) were used to assess the degree of pollution. Geostatistical analysis, positive matrix factorization (PMF), and a health risk assessment model were used to determine the primary sources of pollution and priority sources. Although the mean Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, and Pb concentrations (2717, 62.85, 48.23, 511.6, 24827, 51.29, 26.47, 53.98, 12.39, 16.85 mg•kg⁻¹ in the west, 3046, 72.15, 59.32, 598.1, 27614, 54.57, 29.55, 59.47, 13.63, 20.74 mg•kg⁻¹ in the center, and 2558, 61.02, 39.67, 466.7, 22575, 39.94, 26.06, 54.81, 11.86, 20.38 mg•kg⁻¹ in the east, respectively) did not exceed the national critical values, approximately 1% of the west As samples did exceed their critical values. The mean concentrations of the heavy metals were less than their corresponding GBVs. The PI and RI revealed that the agricultural soil was moderately polluted, at low ecological risk, and the least polluted in the center. Based on PMF, Factor 1 represented metal processing; Factor 2 represented the mixed sources of electroplating and smelting in the west and center, and the mixed sources of mining and agricultural activities in the east; Factor 3 was ascribed to agriculture; and Factor 4 was the mixed sources of atmospheric deposition and traffic emission. The main pollution source, Factor 4 in the west and east and Factor 2 in the center, had the highest percent proportion of total metals and priority pollution sources, thus contributing the most to the carcinogenic (Factor 2 in the west and Factor 3 in the center and east) and non-carcinogenic risks (Factor 2 for adults and Factor 1 for children in the west and Factor 3 in the center and east), respectively. [Display omitted] •Geochemical baseline values of heavy metal in agricultural soil were evaluated.•The indexes of PI, EI and RI revealed that soil was moderately polluted wholly.•Apply geostatistical analysis, PMF and health risk model to obtain sources.•There were no significant carcinogenic and non-carcinogenic risk effects.•Agriculture, industry and traffic were the main and priority pollution sources. To determine the heavy metal contamination of agricultural soil in the Hexi Corridor, 376 soil samples were collected and analyzed for their heavy metal content. The geochemical baseline value (GBV), single-factor pollution index (PI), ecological risk of a single heavy metal, and comprehensive ecological risk index (RI) were used to assess the degree of pollution. Geostatistical analysis, positive matrix factorization (PMF), and a health risk assessment model were used to determine the primary sources of pollution and priority sources. Although the mean Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, and Pb concentrations (2717, 62.85, 48.23, 511.6, 24827, 51.29, 26.47, 53.98, 12.39, 16.85 mg•kg−1 in the west, 3046, 72.15, 59.32, 598.1, 27614, 54.57, 29.55, 59.47, 13.63, 20.74 mg•kg−1 in the center, and 2558, 61.02, 39.67, 466.7, 22575, 39.94, 26.06, 54.81, 11.86, 20.38 mg•kg−1 in the east, respectively) did not exceed the national critical values, approximately 1% of the west As samples did exceed their critical values. The mean concentrations of the heavy metals were less than their corresponding GBVs. The PI and RI revealed that the agricultural soil was moderately polluted, at low ecological risk, and the least polluted in the center. Based on PMF, Factor 1 represented metal processing; Factor 2 represented the mixed sources of electroplating and smelting in the west and center, and the mixed sources of mining and agricultural activities in the east; Factor 3 was ascribed to agriculture; and Factor 4 was the mixed sources of atmospheric deposition and traffic emission. The main pollution source, Factor 4 in the west and east and Factor 2 in the center, had the highest percent proportion of total metals and priority pollution sources, thus contributing the most to the carcinogenic (Factor 2 in the west and Factor 3 in the center and east) and non-carcinogenic risks (Factor 2 for adults and Factor 1 for children in the west and Factor 3 in the center and east), respectively. |
| ArticleNumber | 104573 |
| Author | Yang, Liqin Lin, Jinkuo Yang, Yanyan Pan, Ninghui Guan, Qingyu Wang, Feifei Tian, Jing |
| Author_xml | – sequence: 1 givenname: Feifei surname: Wang fullname: Wang, Feifei – sequence: 2 givenname: Qingyu surname: Guan fullname: Guan, Qingyu email: guanqy@lzu.edu.cn – sequence: 3 givenname: Jing surname: Tian fullname: Tian, Jing – sequence: 4 givenname: Jinkuo surname: Lin fullname: Lin, Jinkuo – sequence: 5 givenname: Yanyan surname: Yang fullname: Yang, Yanyan – sequence: 6 givenname: Liqin surname: Yang fullname: Yang, Liqin – sequence: 7 givenname: Ninghui surname: Pan fullname: Pan, Ninghui |
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| Cites_doi | 10.1016/j.jenvman.2018.11.069 10.1016/j.scitotenv.2018.06.034 10.1007/BF02414780 10.1021/acs.est.6b05068 10.1016/j.chemosphere.2015.09.081 10.1016/j.envpol.2018.09.147 10.1016/j.scitotenv.2016.05.059 10.1007/s12665-012-2107-z 10.1016/j.atmosenv.2005.03.026 10.1007/s00254-008-1446-2 10.1016/j.chemosphere.2018.02.122 10.1021/es5047099 10.1016/S0048-9697(02)00273-5 10.1016/j.gexplo.2013.10.002 10.1016/j.ecoenv.2018.01.010 10.1016/j.scitotenv.2018.05.059 10.1016/j.envint.2015.12.017 10.1007/s12665-017-6581-1 10.1016/j.envpol.2013.01.019 10.1016/j.jhazmat.2018.05.006 10.1016/j.scitotenv.2012.09.011 10.1016/j.scitotenv.2018.09.081 10.1016/j.scitotenv.2019.134466 10.1016/j.ecoenv.2018.04.072 10.1016/j.scs.2018.02.007 10.1073/pnas.1305198110 10.1016/j.envpol.2017.03.057 10.1016/S0048-9697(00)00615-X 10.1007/s10653-012-9492-9 10.1016/j.chemosphere.2017.10.151 10.1016/j.scitotenv.2018.06.068 10.1016/0043-1354(80)90143-8 10.1016/j.scitotenv.2016.02.101 10.1016/j.jhazmat.2018.09.094 10.1016/j.atmosenv.2010.09.060 10.1016/j.agwat.2016.07.010 10.1016/j.envpol.2017.12.106 10.1016/j.chemosphere.2019.125591 10.1016/j.jenvman.2009.01.011 10.1016/j.chemosphere.2016.11.088 10.1016/j.jafrearsci.2017.04.026 10.1016/j.energy.2010.12.063 10.1016/j.ecolecon.2006.07.013 10.1016/j.envint.2014.12.010 10.1016/B978-0-12-407686-0.00002-6 10.1007/s12665-009-0438-1 10.1016/j.catena.2017.04.001 10.1016/S0169-7439(96)00044-5 10.1073/pnas.1116437108 10.1016/j.envpol.2018.02.070 10.1016/S0883-2927(09)80005-X 10.1021/es304310k 10.1016/j.ecoleng.2015.01.016 10.1016/j.jenvman.2018.01.074 10.1007/s002549900084 10.1016/j.chemosphere.2015.04.049 10.1016/j.chemosphere.2006.03.004 10.1016/j.scitotenv.2018.03.011 10.1016/j.ecoenv.2018.10.092 10.1007/s10661-018-6574-x 10.1016/j.envpol.2018.08.038 10.1016/j.envpol.2017.01.058 10.1016/j.gexplo.2016.04.007 10.1007/s11356-019-05329-1 10.1016/j.gexplo.2017.11.016 10.1016/j.ecoenv.2018.08.030 10.1016/j.scitotenv.2018.11.244 10.1016/S0016-7061(01)00025-8 10.1016/j.scitotenv.2017.08.043 10.1016/S0160-4120(03)00175-2 10.1016/j.jenvman.2019.04.109 10.1016/j.jclepro.2014.03.060 10.1016/j.envpol.2016.12.071 10.1016/j.scitotenv.2018.06.178 10.1016/j.scitotenv.2018.10.130 10.1016/j.scitotenv.2007.01.010 10.1016/j.scitotenv.2018.01.322 10.1016/j.scs.2019.101703 10.1016/j.scitotenv.2018.07.257 10.1016/j.scitotenv.2017.05.153 10.1007/BF00889887 10.1016/j.chemosphere.2006.03.016 10.1016/j.ecolind.2014.08.032 10.1016/j.jenvman.2017.10.072 10.1016/j.scitotenv.2018.03.161 10.1016/j.quaint.2016.04.021 10.1016/S0048-9697(03)00139-6 10.1016/j.scitotenv.2018.01.070 10.1007/s11368-014-0937-x 10.1016/j.ecoenv.2018.08.016 10.1016/j.gexplo.2018.02.006 10.1016/j.ecolind.2016.08.037 |
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| References | Lu, Song, Wang, Liu, Meng, Sweetman, Jenkins, Ferrier, Li, Luo, Wang (b0245) 2015; 77 Liang, Feng, Zeng, Gao, Zhong, Li, Li, He, Fang (b0225) 2017; 225 Gao, Gao, Xu, Zhou, Lu (b0115) 2018; 628–629 Karim, Qureshi, Mumtaz (b0200) 2015; 48 Yang, Christakos, Guo, Xiao, Huang (b0470) 2017; 223 Huang, Deng, Wu, Japenga, Li, Yang, He (b0185) 2018; 354 USEPA, 2016. Integrated Risk Information System (IRIS). Visited: 2016-3-5. USEPA Available at: https://cfpub.epa.gov/ncea/iris/search/index.cfm?keyword¼. de Vries, Thebault, Liiri, Birkhofer, Tsiafouli, Bjornlund, Jorgensen, Brady, Christensen, de Ruiter, d’Hertefeldt, Frouz, Hedlund, Hemerik, Hol, Hotes, Mortimer, Setala, Sgardelis, Uteseny, van der Putten, Wolters, Bardgett (b0070) 2013; 110 Zannoni, Valotto, Visin, Rampazzo (b0490) 2016; 166 Cai, Jiang, Luo (b0020) 2019; 26 Chen, Teng, Lu, Wang, Wu, Wang (b0045) 2016; 144 Hu, Wang, Dong, Huang, Borggaard, Hansen, He, Holm (b0165) 2018; 637 Ma, Tai, Qiao, Zhong, Wang, Fu, Chen (b0275) 2018; 631–632 Cai, Wang, Wen, Luo, Wang (b0030) 2019; 168 Hu, Wang, Dong, Huang, Borggaard, Bruun, He, Holm (b0160) 2018; 237 Paatero (b0335) 1997; 37 Norris, G.A., Duvall, R., Brown, S.G., Bai, S., 2014. EPA Positive Matrix Factorization (PMF) 5.0 Fundamentals and User Guide Prepared for the US. Environmental Protection Agency Office of Research and Development, Washington, DC.DC. EPA/600/R-14/108. Zheng, Gao, Wen, Yang, Chen, Wu, Lin (b0515) 2013; 70 Tóth, Hermann, Da, Montanarella (b0405) 2016; 88 Guan, Wang, Xu, Pan, Lin, Zhao, Yang, Luo (b0120) 2018; 193 Lv, Liu (b0255) 2018; 646 Chan, Hawas, Hawker, Vowles, Cohen, Stelcer, Simpson, Golding, Christensen (b0040) 2011; 45 Tan, Duan, Ma, He, Cheng, Deng, Huang, Si-Tu (bib529) 2016; 565 Liu, Li, Song, Guo (b0235) 2018; 633 Cheng, Danek, Drozdova, Huang, Qi, Zou, Yang, Zhao, Xiang (b0055) 2018; 190 Dragovic, Gajic, Dragovic, Dordevic, Dordevic, Mihailovic, Onjia (b0090) 2014; 84 Qu, Wei, Jing, Fang, Shui, Giesy, Holm (b0345) 2016; 50 He, Shentu, Yang, Baligar, Zhang, Stoffella (b0150) 2015; 9 Manta, Angelone, Bellanca, Neri, Sprovieri (b0280) 2002; 300 Men, Liu, Wang, Guo, Shen (b0295) 2018; 637–638 Wu, Zhou, Bao, Chen, Wang, Li, Tong, YuanY (b0455) 2018; 364 Tilman, D., Balzer, C., Hill, J., Befort, B.L., 2011. Global food demand and thesustainable intensification of agriculture. Proceedings of the National Academy of Sciences of the United States of America, 108(50), 20260-20264. Mehr, Keshavarzi, Moore, Sharifi, Lahijanzadeh, Kermani (b0290) 2017; 132 Zhang, Yang, Storozum, Li, Cui, Dong (b0500) 2017 Dudka (b0095) 1993; 2 Zhong, Zhou, Li, Zhao (b0520) 2007; 44 Singh, Murari, Kumar, Barman, Banerjee (b0370) 2017; 223 Sulong, Latif, Khan, Amil, Ashfold, Wahab, Chan, Sahani (b0375) 2017; 601–602 Yu, Wang, Yu (b0475) 2013; 33 Lv, Liu, Zhang, Dai, Dai, Zhu (b0265) 2015; 15 Kazimoto, Messo, Magidanga, Bundala (b0205) 2018; 186 Qu, Wang, Huang, Zhao (b0350) 2018; 626 Editorial Committee of the Discovery History of Mineral Deposits of China, 1996. The Discovery History of Mineral Deposits of China: Gansu Fascicule (in Chinese). Geological Press, Beijing. Wilding (b0440) 1985 Li, Tang, Chu, Yang (b0215) 2011; 64 Zhao, Ma, Zhu, Tang, Mcgrath (b0510) 2015; 49 USEPA, 2011. Exposure Factors Handbook, final ed. US Environmental Protection Agency, Washington, DC [EPA/600/R-09/052F]. Choppala, Bolan, Park (b0060) 2013; 120 Shi, Ma, Wu, Ju, Lin, Zhang, Li, Gong, Hou, Zhao, Wu (b0360) 2018; 164 Micó, Peris, Recatalá, Sánchez (b0305) 2007; 378 Baize, Sterckeman (b0005) 2001; 264 Matschullat, Ottenstein, Reimann (b0285) 2000; 39 Nicholson, Smith, Alloway, Carlton-Smith, Chambers (b0315) 2003; 311 Jiang, Cai, Wen, Hu, Chen, Luo (b0190) 2020; 701 Tomlinson, Wilson, Harris, Jeffrey (b0400) 1980; 33 Wei, Wen (b0435) 2012; 34 Liang, Hua, Zeng, Yuan, Lai, Li, Li, Wu, Huang, Yu (b0230) 2015; 77 Jiang, Chao, Liu, Yang, Chen, Zhang, Cao (b0195) 2017; 168 Micó, C., Recatalá, L., Peris, M., Sánchez, J., 2006. Assessing heavy metal sources in agricultural soils of an European Mediterranean area by multivariate analysis. Chemosphere, 65, 863–872. Xu, Ni, Tuo, Zhang (b0460) 2008; 31 Niu, Yang, Xu, Yang, Liu (b0325) 2013; 176 Zhang, Wei, Sun, Wadood, Guo (b0505) 2018; 159 Caporale, Adamo, Capozzi, Langella, Terribile, Vingiani (b0035) 2018; 643 Ferreira-Baptista, Miguel (b0110) 2005; 39 US EPA, 2007. Method 6200. Field Portable X-ray Fluorescence Spectrometry for the Determination of Elemental Concentrations in Soil and Sediment. Lemière (b0210) 2018; 188 Yu, Liu, Wang, Xu, Shen (b0480) 2015; 134 Tian, Huang, Xing, Hu (b0390) 2017; 72 Wu, Liu, Ma, Liu, Qu, Gong, Yang, Luo (b0445) 2020; 245 Zhang, Li, Zhou, Dou, Cai, Mo, You (b0495) 2018; 235 Hakanson (b0140) 1980; 14 Zhou, Li, Dodson, Zhao (b0525) 2016; 426 Hu, Cheng (b0170) 2013; 47 Guo, Zhao, Zhang, Wang (b0130) 2011; 36 Guan, Zhao, Wang, Pan, Yang, Song, Xu, Lin (b0125) 2019; 243 Bao, Fang (b0010) 2007; 62 Huang, Guo, Zeng, Li, Gu, Shi, Shi, Liu, Peng (b0175) 2018; 243 Trujillo-González, Torres-Mora, Keesstra, Brevik, Jiménez-Ballesta (b0410) 2016; 553 Duzgoren-Aydin, Li, Wong (b0100) 2004; 30 Luo, Ma, Zhang, Wei, Zhu (b0250) 2009; 90 Yang, Li, Lu, Duan, Huang, Bi (b0465) 2018; 642 Huang, Chen, Deng, Japenga, Li, Yang, He (b0180) 2018; 207 Cressie (b0065) 1990; 22 Liu, Liu, Liu, Liu, Zhang (b0240) 2018; 164 Ding, Wang, Zhuang (b0080) 2018; 212 Nimmo (b0320) 1998; 139 Deng, Gou, Gao, Yang, Zhang (b0075) 2017; 76 Shomar (b0365) 2006; 65 Han, Huang, Zhang, Wu (b0135) 2019; 232 Li, Tong, Niu, Kang, Du, Li, Ding (b0220) 2017; 179 MEP&MLR (Ministry of Environment Protection and Ministry of Land Resources of the People's Republic of China), 2014. Nationwide Soil Pollution Survey Report. http:// www.zhb.gov.cn/gkml/hbb/qt/201404/t20140417_270670.htm (In Chinese). Teng, Ni, Wang, Niu (b0385) 2009; 57 Dong, Zhang, Gan, Cai, Freidenreich, Wang, Guo, Wang (b0085) 2019; 651 Belon, Boisson, Deportes, Eglin, Feix, Bispo, Galsomies, Leblond, Guellier (b0015) 2012; 439 Lv (b0260) 2019; 244 Gansu Municipal Bureau of Statistics (bib528) 2018 Chen, Lu (b0050) 2018; 151 He, Jiang, Wang, Zhang, Ning, Zhao, Hu (b0145) 2019; 50 Pourret, Bollinger (b0340) 2018; 610–611 Wu, Lu, Li, Min, Luo (b0450) 2018; 201 Wang, Cai, Wen, Luo, Wang, Liu (b0430) 2019; 655 Cai, Wang, Luo, Chen, Zhu, Wang, Tang (b0025) 2019; 650 Yuan, Sun, Han, Li, Lang (b0485) 2014; 136 Ma, Cheng, Qi (b0270) 2018; 39 Sawut, Kasim, Maihemuti, Li, Abdugheni, Abdusalam, Kurban (b0355) 2018; 642 Heuvelink, Webster (b0155) 2001; 100 Lv (10.1016/j.catena.2020.104573_b0265) 2015; 15 10.1016/j.catena.2020.104573_b0300 Choppala (10.1016/j.catena.2020.104573_b0060) 2013; 120 Yu (10.1016/j.catena.2020.104573_b0480) 2015; 134 Guan (10.1016/j.catena.2020.104573_b0120) 2018; 193 10.1016/j.catena.2020.104573_b0425 Heuvelink (10.1016/j.catena.2020.104573_b0155) 2001; 100 Gao (10.1016/j.catena.2020.104573_b0115) 2018; 628–629 Nimmo (10.1016/j.catena.2020.104573_b0320) 1998; 139 10.1016/j.catena.2020.104573_b0420 Liu (10.1016/j.catena.2020.104573_b0240) 2018; 164 Lv (10.1016/j.catena.2020.104573_b0260) 2019; 244 Qu (10.1016/j.catena.2020.104573_b0350) 2018; 626 Kazimoto (10.1016/j.catena.2020.104573_b0205) 2018; 186 Cheng (10.1016/j.catena.2020.104573_b0055) 2018; 190 Yang (10.1016/j.catena.2020.104573_b0465) 2018; 642 Caporale (10.1016/j.catena.2020.104573_b0035) 2018; 643 Dong (10.1016/j.catena.2020.104573_b0085) 2019; 651 Matschullat (10.1016/j.catena.2020.104573_b0285) 2000; 39 Qu (10.1016/j.catena.2020.104573_b0345) 2016; 50 10.1016/j.catena.2020.104573_b0395 He (10.1016/j.catena.2020.104573_b0150) 2015; 9 10.1016/j.catena.2020.104573_b0310 Guo (10.1016/j.catena.2020.104573_b0130) 2011; 36 Belon (10.1016/j.catena.2020.104573_b0015) 2012; 439 Nicholson (10.1016/j.catena.2020.104573_b0315) 2003; 311 Zannoni (10.1016/j.catena.2020.104573_b0490) 2016; 166 Yuan (10.1016/j.catena.2020.104573_b0485) 2014; 136 Zhou (10.1016/j.catena.2020.104573_b0525) 2016; 426 Zhong (10.1016/j.catena.2020.104573_b0520) 2007; 44 de Vries (10.1016/j.catena.2020.104573_b0070) 2013; 110 Hu (10.1016/j.catena.2020.104573_b0170) 2013; 47 Lemière (10.1016/j.catena.2020.104573_b0210) 2018; 188 Trujillo-González (10.1016/j.catena.2020.104573_b0410) 2016; 553 Chen (10.1016/j.catena.2020.104573_b0050) 2018; 151 Paatero (10.1016/j.catena.2020.104573_b0335) 1997; 37 Luo (10.1016/j.catena.2020.104573_b0250) 2009; 90 Shomar (10.1016/j.catena.2020.104573_b0365) 2006; 65 Lu (10.1016/j.catena.2020.104573_b0245) 2015; 77 10.1016/j.catena.2020.104573_b0330 Tóth (10.1016/j.catena.2020.104573_b0405) 2016; 88 Wu (10.1016/j.catena.2020.104573_b0445) 2020; 245 Zhang (10.1016/j.catena.2020.104573_b0495) 2018; 235 Zheng (10.1016/j.catena.2020.104573_b0515) 2013; 70 Ma (10.1016/j.catena.2020.104573_b0275) 2018; 631–632 Ferreira-Baptista (10.1016/j.catena.2020.104573_b0110) 2005; 39 Baize (10.1016/j.catena.2020.104573_b0005) 2001; 264 Jiang (10.1016/j.catena.2020.104573_b0190) 2020; 701 Zhang (10.1016/j.catena.2020.104573_b0500) 2017 Zhang (10.1016/j.catena.2020.104573_b0505) 2018; 159 10.1016/j.catena.2020.104573_b0105 Shi (10.1016/j.catena.2020.104573_b0360) 2018; 164 Huang (10.1016/j.catena.2020.104573_b0180) 2018; 207 Xu (10.1016/j.catena.2020.104573_b0460) 2008; 31 Dragovic (10.1016/j.catena.2020.104573_b0090) 2014; 84 Gansu Municipal Bureau of Statistics (10.1016/j.catena.2020.104573_bib528) 2018 Guan (10.1016/j.catena.2020.104573_b0125) 2019; 243 Cai (10.1016/j.catena.2020.104573_b0030) 2019; 168 Hakanson (10.1016/j.catena.2020.104573_b0140) 1980; 14 Lv (10.1016/j.catena.2020.104573_b0255) 2018; 646 Cai (10.1016/j.catena.2020.104573_b0025) 2019; 650 Cressie (10.1016/j.catena.2020.104573_b0065) 1990; 22 Teng (10.1016/j.catena.2020.104573_b0385) 2009; 57 Yang (10.1016/j.catena.2020.104573_b0470) 2017; 223 Chan (10.1016/j.catena.2020.104573_b0040) 2011; 45 He (10.1016/j.catena.2020.104573_b0145) 2019; 50 Jiang (10.1016/j.catena.2020.104573_b0195) 2017; 168 Men (10.1016/j.catena.2020.104573_b0295) 2018; 637–638 Wei (10.1016/j.catena.2020.104573_b0435) 2012; 34 Niu (10.1016/j.catena.2020.104573_b0325) 2013; 176 Tan (10.1016/j.catena.2020.104573_bib529) 2016; 565 Wilding (10.1016/j.catena.2020.104573_b0440) 1985 Zhao (10.1016/j.catena.2020.104573_b0510) 2015; 49 Tian (10.1016/j.catena.2020.104573_b0390) 2017; 72 Mehr (10.1016/j.catena.2020.104573_b0290) 2017; 132 Li (10.1016/j.catena.2020.104573_b0215) 2011; 64 Liang (10.1016/j.catena.2020.104573_b0225) 2017; 225 Hu (10.1016/j.catena.2020.104573_b0165) 2018; 637 Tomlinson (10.1016/j.catena.2020.104573_b0400) 1980; 33 Cai (10.1016/j.catena.2020.104573_b0020) 2019; 26 Chen (10.1016/j.catena.2020.104573_b0045) 2016; 144 Yu (10.1016/j.catena.2020.104573_b0475) 2013; 33 Han (10.1016/j.catena.2020.104573_b0135) 2019; 232 Karim (10.1016/j.catena.2020.104573_b0200) 2015; 48 Ma (10.1016/j.catena.2020.104573_b0270) 2018; 39 Wu (10.1016/j.catena.2020.104573_b0450) 2018; 201 Micó (10.1016/j.catena.2020.104573_b0305) 2007; 378 Sawut (10.1016/j.catena.2020.104573_b0355) 2018; 642 Singh (10.1016/j.catena.2020.104573_b0370) 2017; 223 Huang (10.1016/j.catena.2020.104573_b0175) 2018; 243 Sulong (10.1016/j.catena.2020.104573_b0375) 2017; 601–602 Wang (10.1016/j.catena.2020.104573_b0430) 2019; 655 Deng (10.1016/j.catena.2020.104573_b0075) 2017; 76 Liu (10.1016/j.catena.2020.104573_b0235) 2018; 633 Li (10.1016/j.catena.2020.104573_b0220) 2017; 179 10.1016/j.catena.2020.104573_b0415 Wu (10.1016/j.catena.2020.104573_b0455) 2018; 364 Pourret (10.1016/j.catena.2020.104573_b0340) 2018; 610–611 Hu (10.1016/j.catena.2020.104573_b0160) 2018; 237 Duzgoren-Aydin (10.1016/j.catena.2020.104573_b0100) 2004; 30 Liang (10.1016/j.catena.2020.104573_b0230) 2015; 77 Bao (10.1016/j.catena.2020.104573_b0010) 2007; 62 Manta (10.1016/j.catena.2020.104573_b0280) 2002; 300 Ding (10.1016/j.catena.2020.104573_b0080) 2018; 212 Dudka (10.1016/j.catena.2020.104573_b0095) 1993; 2 Huang (10.1016/j.catena.2020.104573_b0185) 2018; 354 |
| References_xml | – volume: 9 start-page: 17 year: 2015 end-page: 18 ident: b0150 article-title: Heavy metal contamination of soils: sources, indicators, and assessment publication-title: Journal of Environmental Indicators – volume: 100 start-page: 269 year: 2001 end-page: 301 ident: b0155 article-title: Modelling soil variation: past, present, and future publication-title: Geoderma – volume: 212 start-page: 23 year: 2018 end-page: 31 ident: b0080 article-title: Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions publication-title: J. Environ. Manage. – volume: 15 start-page: 163 year: 2015 end-page: 178 ident: b0265 article-title: Identifying the origins and spatial distributions of heavy metals in soils of Ju country (Eastern China) using multi-variate and geostatistical approach publication-title: Journal of Soils Sediments – reference: MEP&MLR (Ministry of Environment Protection and Ministry of Land Resources of the People's Republic of China), 2014. Nationwide Soil Pollution Survey Report. http:// www.zhb.gov.cn/gkml/hbb/qt/201404/t20140417_270670.htm (In Chinese). – volume: 48 start-page: 358 year: 2015 end-page: 364 ident: b0200 article-title: Geochemical baseline determination and pollution assessment of heavy metals in urban soils of Karachi publication-title: Pakistan. Ecological Indicators – volume: 631–632 start-page: 348 year: 2018 end-page: 357 ident: b0275 article-title: Contamination source apportionment and health risk assessment of heavy metals in soil around municipal solid waste incinerator: A case study in North China publication-title: Sci. Total Environ. – volume: 223 start-page: 121 year: 2017 end-page: 136 ident: b0370 article-title: Fine particulates over South Asia: review and meta-analysis of PM2.5 source apportionment through receptor model publication-title: Environ. Pollut. – volume: 76 start-page: 272 year: 2017 ident: b0075 article-title: Tree-ring recorded moisture variations over the past millennium in the Hexi Corridor, northwest China publication-title: Environmental Earth Sciences – volume: 164 start-page: 118 year: 2018 end-page: 124 ident: b0360 article-title: Inventories of heavy metal inputs and outputs to and from agricultural soils: a review publication-title: Ecotoxicol. Environ. Saf. – reference: USEPA, 2011. Exposure Factors Handbook, final ed. US Environmental Protection Agency, Washington, DC [EPA/600/R-09/052F]. – volume: 626 start-page: 203 year: 2018 end-page: 210 ident: b0350 article-title: Source apportionment of soil heavy metals using robust absolute principal component scores-robust geographically weighted regression (RAPCS-RGWR) receptor model publication-title: Sci. Total Environ. – volume: 49 start-page: 750 year: 2015 end-page: 759 ident: b0510 article-title: Soil contamination in China: current status and mitigation strategies publication-title: Environ. Sci. Technol. – reference: US EPA, 2007. Method 6200. Field Portable X-ray Fluorescence Spectrometry for the Determination of Elemental Concentrations in Soil and Sediment. – volume: 207 start-page: 159 year: 2018 end-page: 168 ident: b0180 article-title: Heavy metal pollution and health risk assessment of agricultural soils in a typical peri-urban area in southeast China publication-title: J. Environ. Manage. – volume: 139 start-page: 8 year: 1998 end-page: 9 ident: b0320 article-title: New design radiators publication-title: Can. Copp. – volume: 50 start-page: 13181 year: 2016 end-page: 13183 ident: b0345 article-title: China’s soil pollution control: choices and challenges publication-title: Environ. Sci. Technol. – volume: 110 start-page: 14296 year: 2013 end-page: 14301 ident: b0070 article-title: Soil food web properties explain ecosystem services across European land use systems publication-title: PNAS – volume: 70 start-page: 107 year: 2013 end-page: 113 ident: b0515 article-title: Multivariate statistical analysis of heavy metals in foliage dust near pedestrian bridges in Guangzhou, South China in 2009 publication-title: Environmental Earth Sciences – volume: 193 start-page: 189 year: 2018 end-page: 197 ident: b0120 article-title: Source apportionment of heavy metals in agricultural soil based on PMF: a case study in Hexi Corridor, northwest China publication-title: Chemosphere – volume: 610–611 start-page: 419 year: 2018 end-page: 420 ident: b0340 article-title: “Heavy metal” - What to do now: to use or not to use? publication-title: Sci. Total Environ. – volume: 64 start-page: 1667 year: 2011 end-page: 1674 ident: b0215 article-title: Characteristics of distribution and chemical speciation of heavy metals in environmental mediums around Jinchang mining city publication-title: Northwest China. Environmental Earth Sciences – volume: 45 start-page: 439 year: 2011 end-page: 449 ident: b0040 article-title: Using multiple type composition data and wind data in PMF analysis to apportion and locate sources of air pollutants publication-title: Atmos. Environ. – volume: 33 start-page: 86 year: 2013 end-page: 90 ident: b0475 article-title: Experimental study of pollution by heavy metals of plastic film in soil-soybean system publication-title: Bulletin of Soil and Water Conservation – volume: 72 start-page: 510 year: 2017 end-page: 520 ident: b0390 article-title: Geochemical baseline establishment and ecological risk evaluation of heavy metals in greenhouse soils from Dongtai, China publication-title: Ecol. Ind. – volume: 132 start-page: 16 year: 2017 end-page: 26 ident: b0290 article-title: Distribution, source identification and health risk assessment of soil heavy metals in urban areas of Isfahan province publication-title: Iran. Journal of African Earth Sciences – reference: USEPA, 2016. Integrated Risk Information System (IRIS). Visited: 2016-3-5. USEPA Available at: https://cfpub.epa.gov/ncea/iris/search/index.cfm?keyword¼. – volume: 179 start-page: 55 year: 2017 end-page: 63 ident: b0220 article-title: Agricultural activities are increasingly intensive with food demand result from expanding population publication-title: Agric. Water Manag. – year: 1985 ident: b0440 article-title: Spatial variability: its documentation, accommodation and implication to soil surveys publication-title: Soil Spatial Variability – volume: 245 year: 2020 ident: b0445 article-title: Heavy Metal(loids) in typical Chinese tobacco-growing soils: concentrations, influence factors and potential health risks publication-title: Chemosphere – reference: Norris, G.A., Duvall, R., Brown, S.G., Bai, S., 2014. EPA Positive Matrix Factorization (PMF) 5.0 Fundamentals and User Guide Prepared for the US. Environmental Protection Agency Office of Research and Development, Washington, DC.DC. EPA/600/R-14/108. – volume: 651 start-page: 3127 year: 2019 end-page: 3138 ident: b0085 article-title: Multiple methods for the identification of heavy metal sources in cropland soils from a resource-based region publication-title: Sci. Total Environ. – volume: 244 start-page: 72 year: 2019 end-page: 83 ident: b0260 article-title: Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils publication-title: Environ. Pollut. – volume: 120 start-page: 129 year: 2013 end-page: 172 ident: b0060 article-title: Chapter two: chromium contamination and its risk assessment in complex environmental settings publication-title: Adv. Agron. – volume: 44 start-page: 33 year: 2007 end-page: 40 ident: b0520 article-title: Spatial variability of soil heavy metals contamination in the Yangtze river delta-A case study of Taicang city in Jiangsu Province publication-title: Acta Pedol. Sin. – volume: 134 start-page: 263 year: 2015 end-page: 271 ident: b0480 article-title: Source apportionment of PAHs in surface sediments using positive matrix factorization combined with GIS for the estuarine area of the Yangtze River, China publication-title: Chemosphere – reference: Micó, C., Recatalá, L., Peris, M., Sánchez, J., 2006. Assessing heavy metal sources in agricultural soils of an European Mediterranean area by multivariate analysis. Chemosphere, 65, 863–872. – volume: 311 start-page: 205 year: 2003 end-page: 219 ident: b0315 article-title: An inventory of heavy metals inputs to agricultural soils in England and Wales publication-title: Sci. Total Environ. – volume: 628–629 start-page: 241 year: 2018 end-page: 248 ident: b0115 article-title: Assessment of Cr pollution in tributary sediment cores in the Three Gorges Reservoir combining geochemical baseline and in situ DGT publication-title: Sci. Total Environ. – volume: 235 start-page: 710 year: 2018 end-page: 719 ident: b0495 article-title: Bioavailability and soil-to-crop transfer of heavy metals in farmland soils: a case study in the pearl river delta, south China publication-title: Environ. Pollut. – volume: 701 year: 2020 ident: b0190 article-title: An integrated approach to quantifying ecological and human health risks from different sources of soil heavy metals publication-title: Sci. Total Environ. – volume: 650 start-page: 725 year: 2019 end-page: 733 ident: b0025 article-title: Heavy metal contamination and health risk assessment for children near a large Cu-smelter in central China publication-title: Sci. Total Environ. – volume: 264 start-page: 127 year: 2001 end-page: 139 ident: b0005 article-title: Of the necessity of knowledge of the natural pedo-geochemical background content in the evaluation of the contamination of soils by trace elements publication-title: Sci. Total Environ. – volume: 168 start-page: 184 year: 2019 end-page: 191 ident: b0030 article-title: Heavy metals in agricultural soils from a typical township in Guangdong Province, China: occurrences and spatial distribution publication-title: Ecotoxicol. Environ. Saf. – volume: 168 start-page: 1658 year: 2017 end-page: 1668 ident: b0195 article-title: Source apportionment and health risk assessment of heavy metals in soil for a township in Jiangsu Province, China publication-title: Chemosphere – volume: 88 start-page: 299 year: 2016 end-page: 309 ident: b0405 article-title: Heavy metals in agricultural soils of the European Union with implications for food safety publication-title: Environ. Int. – start-page: 92 year: 2017 end-page: 101 ident: b0500 article-title: Copper smelting and sediment pollution in Bronze Age China: a case study in the Hexi Corridor, northwest China publication-title: Catena – volume: 166 start-page: 64 year: 2016 end-page: 72 ident: b0490 article-title: Sources and distribution of tracer elements in road dust: The Venice mainland case of study publication-title: J. Geochem. Explor. – volume: 601–602 start-page: 556 year: 2017 end-page: 570 ident: b0375 article-title: Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia publication-title: Sci. Total Environ. – volume: 426 start-page: 33 year: 2016 end-page: 41 ident: b0525 article-title: Rapid agricultural transformation in the prehistoric Hexi Corridor, China publication-title: Quat. Int. – volume: 232 start-page: 1037 year: 2019 end-page: 1048 ident: b0135 article-title: Characterization of elevation and land cover dependent trends of NDVI variations in the Hexi region, northwest China publication-title: J. Environ. Manage. – volume: 26 start-page: 19282 year: 2019 end-page: 19293 ident: b0020 article-title: Metals in soils from a typical rapidly developing county, Southern China: levels, distribution, and source apportionment publication-title: Environ. Sci. Pollut. Res. – volume: 243 start-page: 137 year: 2019 end-page: 143 ident: b0125 article-title: Prediction of heavy metals in soils of an arid area based on multi-spectral data publication-title: J. Environ. Manage. – volume: 22 start-page: 239 year: 1990 end-page: 252 ident: b0065 article-title: The origins of kriging publication-title: Math. Geol. – volume: 642 start-page: 690 year: 2018 end-page: 700 ident: b0465 article-title: A review of soil heavy metal pollution from industrial and agricultural regions in China: pollution and risk assessment publication-title: Sci. Total Environ. – volume: 14 start-page: 975 year: 1980 end-page: 1001 ident: b0140 article-title: An ecological risk index for aquatic pollution control a sediment ecological approach publication-title: Water Res. – volume: 201 start-page: 234 year: 2018 end-page: 242 ident: b0450 article-title: Pollution, ecological-health risks, and sources of heavy metals in soil of the northeastern Qinghai-Tibet Plateau publication-title: Chemosphere – volume: 144 start-page: 1002 year: 2016 end-page: 1011 ident: b0045 article-title: Source apportionment and health risk assessment of trace metals in surface soils of Beijing metropolitan, China publication-title: Chemosphere – volume: 223 start-page: 560 year: 2017 end-page: 566 ident: b0470 article-title: Space-time quantitative source apportionment of soil heavy metal concentration increments publication-title: Environ. Pollut. – volume: 637 start-page: 650 year: 2018 end-page: 661 ident: b0165 article-title: Source identification of heavy metals in peri-urban agricultural soils of southeast China: an integrated approach publication-title: Environ. Pollut. – volume: 2 start-page: 23 year: 1993 end-page: 28 ident: b0095 article-title: Baseline concentrations of As Co, Cr, Cu, Ga, Mn, Ni, and Se in surface soils, Poland publication-title: Appl. Geochem. – volume: 39 start-page: 78 year: 2018 end-page: 92 ident: b0270 article-title: Coordinated evaluation and development model of oasis urbanization from the perspective of new urbanization: a case study in Shandan County of Hexi Corridor, China publication-title: Sustainable Cities and Society – volume: 50 start-page: 101703 year: 2019 ident: b0145 article-title: Changes in mountainous runoff in three inland river basins in the arid Hexi Corridor, China, and its influencing factors publication-title: Sustainable Cities and Society – volume: 47 start-page: 3752 year: 2013 end-page: 3760 ident: b0170 article-title: Application of stochastic models in identification and apportionment of heavy metal pollution sources in the surface soils of a large-scale region publication-title: Environment Science Technology – volume: 439 start-page: 87 year: 2012 end-page: 95 ident: b0015 article-title: An inventory of trace elements inputs to French agricultural soils publication-title: Sci. Total Environ. – volume: 36 start-page: 1668 year: 2011 end-page: 1679 ident: b0130 article-title: A corrected hybrid approach for wind speed prediction in Hexi Corridor of China publication-title: Energy – volume: 34 start-page: 737 year: 2012 end-page: 748 ident: b0435 article-title: Geochemical baselines of heavy metals in the sediments of two large freshwater lakes in China: implications for contamination character and history publication-title: Environ. Geochem. Health – volume: 565 start-page: 519 year: 2016 end-page: 528 ident: bib529 article-title: Long-term trends of chemical characteristics and sources of fine particle in Foshan city, Pearl River Delta: 2008–2014. publication-title: Sci. Total Environ. – volume: 90 start-page: 2524 year: 2009 end-page: 2530 ident: b0250 article-title: An inventory of trace element inputs to agricultural soils in China publication-title: J. Environ. Manage. – volume: 378 start-page: 13 year: 2007 end-page: 17 ident: b0305 article-title: Baseline values for heavy metals in agricultural soils in an European Mediterranean region publication-title: Sci. Total Environ. – volume: 62 start-page: 508 year: 2007 end-page: 517 ident: b0010 article-title: Water resources constraint force on urbanization in water deficient regions: a case study of the Hexi Corridor, arid area of NW China publication-title: Ecol. Econ. – volume: 633 start-page: 206 year: 2018 end-page: 219 ident: b0235 article-title: Remediation techniques for heavy metal-contaminated soils: principles and applicability publication-title: Sci. Total Environ. – volume: 364 start-page: 108 year: 2018 end-page: 116 ident: b0455 article-title: Improving risk management by using the spatial interaction relationship of heavy metals and PAHs in urban soil publication-title: J. Hazard. Mater. – volume: 186 start-page: 100 year: 2018 end-page: 113 ident: b0205 article-title: The use of portable X-ray spectrometer in monitoring anthropogenic toxic metals pollution in soils and sediments of urban environment of Dar es Salaam Tanzania publication-title: J. Geochem. Explor. – volume: 237 start-page: 650 year: 2018 end-page: 661 ident: b0160 article-title: Source identification of heavy metals in peri-urban agricultural soils of southeast China: an integrated approach publication-title: Environ. Pollut. – volume: 151 start-page: 153 year: 2018 end-page: 160 ident: b0050 article-title: Contamination characteristics and source apportionment of heavy metals in topsoil from an area in Xi'an city, China publication-title: Ecotoxicol. Environ. Saf. – volume: 39 start-page: 4501 year: 2005 end-page: 4512 ident: b0110 article-title: Geochemistry and risk assessment of street dust in Luanda, Angola: a tropical urban environment publication-title: Atmos. Environ. – volume: 646 start-page: 19 year: 2018 end-page: 28 ident: b0255 article-title: An integrated approach to identify quantitative sources and hazardous areas of heavy metals in soils publication-title: Sci. Total Environ. – volume: 65 start-page: 898 year: 2006 end-page: 905 ident: b0365 article-title: Trace elements in major solid-pesticides used in the Gaza Strip publication-title: Chemosphere – volume: 655 start-page: 92 year: 2019 end-page: 101 ident: b0430 article-title: Spatial distribution and source apportionment of heavy metals in soil from a typical county-level city of Guangdong Province, China publication-title: Sci. Total Environ. – volume: 39 start-page: 990 year: 2000 end-page: 1000 ident: b0285 article-title: Geochemical background-can we calculate it? publication-title: Environ. Geol. – volume: 84 start-page: 550 year: 2014 end-page: 562 ident: b0090 article-title: Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia) publication-title: J. Cleaner Prod. – volume: 30 start-page: 209 year: 2004 end-page: 217 ident: b0100 article-title: Lead contamination and isotope signatures in the urban environment publication-title: Environ. Int. – volume: 37 start-page: 23 year: 1997 end-page: 35 ident: b0335 article-title: Least squares formulation of robust non-negative factor analysis publication-title: Chemometrics and Intelligent Laboratory Systems – volume: 637–638 start-page: 844 year: 2018 end-page: 854 ident: b0295 article-title: The impact of seasonal varied human activity on characteristics and sources of heavy metals in metropolitan road dusts publication-title: Sci. Total Environ. – volume: 354 start-page: 161 year: 2018 end-page: 169 ident: b0185 article-title: A modified receptor model for source apportionment of heavy metal pollution in soil publication-title: J. Hazard. Mater. – volume: 225 start-page: 681 year: 2017 end-page: 690 ident: b0225 article-title: Spatial distribution and source identification of heavy metals in surface soils in a typical coal mine city, Lianyuan, China publication-title: Environ. Pollut. – volume: 77 start-page: 5 year: 2015 end-page: 15 ident: b0245 article-title: Impacts of soil and water pollution on food safety and health risks in China publication-title: Environ. Int. – volume: 643 start-page: 516 year: 2018 end-page: 526 ident: b0035 article-title: Monitoring metal pollution in soils using portable-XRF and conventional laboratory-based techniques: evaluation of the performance and limitations according to metal properties and sources publication-title: Sci. Total Environ. – volume: 176 start-page: 55 year: 2013 end-page: 62 ident: b0325 article-title: Status of metal accumulation in farmland soils across China: from distribution to risk assessment publication-title: Environ. Pollut. – volume: 190 start-page: 194 year: 2018 ident: b0055 article-title: Soil heavy metal pollution and risk assessment associated with the Zn-Pb mining region in Yunnan, Southwest China publication-title: Environ. Monit. Assess. – volume: 553 start-page: 636 year: 2016 end-page: 642 ident: b0410 article-title: Heavy metal accumulation related to population density in road dust samples taken from urban sites under different land uses publication-title: Sci. Total Environ. – volume: 57 start-page: 1649 year: 2009 end-page: 1660 ident: b0385 article-title: Geochemical baseline of trace elements in the sediment in Dexing area publication-title: South China. Environmental Geology – reference: Tilman, D., Balzer, C., Hill, J., Befort, B.L., 2011. Global food demand and thesustainable intensification of agriculture. Proceedings of the National Academy of Sciences of the United States of America, 108(50), 20260-20264. – volume: 33 start-page: 566 year: 1980 end-page: 575 ident: b0400 article-title: Problems in the assessment of heavy-metals in estuaries and the formation of a pollution index publication-title: Helgolander Meeresuntersuchungen – volume: 31 start-page: 112 year: 2008 end-page: 115 ident: b0460 article-title: Calculation of trace elements' toxicity coefficient in the evaluation of potential ecological risk index publication-title: Environ. Sci. Technol. – reference: Editorial Committee of the Discovery History of Mineral Deposits of China, 1996. The Discovery History of Mineral Deposits of China: Gansu Fascicule (in Chinese). Geological Press, Beijing. – volume: 77 start-page: 119 year: 2015 end-page: 126 ident: b0230 article-title: Application of weight method based on canonical correspondence analysis for assessment of Anatidae habitat suitability: a case study in East Dongting Lake, Middle China publication-title: Ecol. Eng. – volume: 243 start-page: 49 year: 2018 end-page: 58 ident: b0175 article-title: A new exploration of health risk assessment quantification from sources of soil heavy metals under different land use publication-title: Environ. Pollut. – volume: 188 start-page: 350 year: 2018 end-page: 363 ident: b0210 article-title: A review of pXRF (field portable X-ray fluorescence) applications for applied geochemistry publication-title: J. Geochem. Explor. – volume: 164 start-page: 261 year: 2018 end-page: 269 ident: b0240 article-title: Quantitative contributions of the major sources of heavy metals in soils to ecosystem and human health risks: a case study of Yulin, China publication-title: Ecotoxicol. Environ. Saf. – volume: 136 start-page: 40 year: 2014 end-page: 47 ident: b0485 article-title: Source identification and ecological risk assessment of heavy metals in topsoil using environmental geochemical mapping: Typical urban renewal area in Beijing, China publication-title: J. Geochem. Explor. – volume: 159 start-page: 354 year: 2018 end-page: 362 ident: b0505 article-title: Source identification and spatial distribution of arsenic and heavy metals in agricultural soil around Hunan industrial estate by positive matrix factorization model, principle components analysis and geo statistical analysis publication-title: Ecotoxicol. Environ. Saf. – volume: 300 start-page: 229 year: 2002 end-page: 243 ident: b0280 article-title: Heavy metals in urban soils: a case study from the city of Palermo (Sicily), Italy publication-title: Sci. Total Environ. – year: 2018 ident: bib528 publication-title: Gansu Provincial Statistical Yearbook-2018[M] – volume: 642 start-page: 864 year: 2018 end-page: 878 ident: b0355 article-title: Pollution characteristics and health risk assessment of heavy metals in the vegetable bases of northwest China publication-title: Sci. Total Environ. – volume: 232 start-page: 1037 year: 2019 ident: 10.1016/j.catena.2020.104573_b0135 article-title: Characterization of elevation and land cover dependent trends of NDVI variations in the Hexi region, northwest China publication-title: J. Environ. Manage. doi: 10.1016/j.jenvman.2018.11.069 – volume: 642 start-page: 864 year: 2018 ident: 10.1016/j.catena.2020.104573_b0355 article-title: Pollution characteristics and health risk assessment of heavy metals in the vegetable bases of northwest China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.06.034 – volume: 33 start-page: 566 issue: 1–4 year: 1980 ident: 10.1016/j.catena.2020.104573_b0400 article-title: Problems in the assessment of heavy-metals in estuaries and the formation of a pollution index publication-title: Helgolander Meeresuntersuchungen doi: 10.1007/BF02414780 – volume: 50 start-page: 13181 issue: 24 year: 2016 ident: 10.1016/j.catena.2020.104573_b0345 article-title: China’s soil pollution control: choices and challenges publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.6b05068 – volume: 144 start-page: 1002 year: 2016 ident: 10.1016/j.catena.2020.104573_b0045 article-title: Source apportionment and health risk assessment of trace metals in surface soils of Beijing metropolitan, China publication-title: Chemosphere doi: 10.1016/j.chemosphere.2015.09.081 – volume: 139 start-page: 8 year: 1998 ident: 10.1016/j.catena.2020.104573_b0320 article-title: New design radiators publication-title: Can. Copp. – ident: 10.1016/j.catena.2020.104573_b0420 – volume: 244 start-page: 72 year: 2019 ident: 10.1016/j.catena.2020.104573_b0260 article-title: Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2018.09.147 – volume: 565 start-page: 519 year: 2016 ident: 10.1016/j.catena.2020.104573_bib529 article-title: Long-term trends of chemical characteristics and sources of fine particle in Foshan city, Pearl River Delta: 2008–2014. publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.05.059 – volume: 70 start-page: 107 year: 2013 ident: 10.1016/j.catena.2020.104573_b0515 article-title: Multivariate statistical analysis of heavy metals in foliage dust near pedestrian bridges in Guangzhou, South China in 2009 publication-title: Environmental Earth Sciences doi: 10.1007/s12665-012-2107-z – volume: 39 start-page: 4501 issue: 25 year: 2005 ident: 10.1016/j.catena.2020.104573_b0110 article-title: Geochemistry and risk assessment of street dust in Luanda, Angola: a tropical urban environment publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2005.03.026 – volume: 57 start-page: 1649 issue: 7 year: 2009 ident: 10.1016/j.catena.2020.104573_b0385 article-title: Geochemical baseline of trace elements in the sediment in Dexing area publication-title: South China. Environmental Geology doi: 10.1007/s00254-008-1446-2 – volume: 201 start-page: 234 year: 2018 ident: 10.1016/j.catena.2020.104573_b0450 article-title: Pollution, ecological-health risks, and sources of heavy metals in soil of the northeastern Qinghai-Tibet Plateau publication-title: Chemosphere doi: 10.1016/j.chemosphere.2018.02.122 – volume: 49 start-page: 750 issue: 2 year: 2015 ident: 10.1016/j.catena.2020.104573_b0510 article-title: Soil contamination in China: current status and mitigation strategies publication-title: Environ. Sci. Technol. doi: 10.1021/es5047099 – volume: 300 start-page: 229 year: 2002 ident: 10.1016/j.catena.2020.104573_b0280 article-title: Heavy metals in urban soils: a case study from the city of Palermo (Sicily), Italy publication-title: Sci. Total Environ. doi: 10.1016/S0048-9697(02)00273-5 – volume: 136 start-page: 40 year: 2014 ident: 10.1016/j.catena.2020.104573_b0485 article-title: Source identification and ecological risk assessment of heavy metals in topsoil using environmental geochemical mapping: Typical urban renewal area in Beijing, China publication-title: J. Geochem. Explor. doi: 10.1016/j.gexplo.2013.10.002 – volume: 44 start-page: 33 year: 2007 ident: 10.1016/j.catena.2020.104573_b0520 article-title: Spatial variability of soil heavy metals contamination in the Yangtze river delta-A case study of Taicang city in Jiangsu Province publication-title: Acta Pedol. Sin. – volume: 151 start-page: 153 year: 2018 ident: 10.1016/j.catena.2020.104573_b0050 article-title: Contamination characteristics and source apportionment of heavy metals in topsoil from an area in Xi'an city, China publication-title: Ecotoxicol. Environ. Saf. doi: 10.1016/j.ecoenv.2018.01.010 – volume: 637–638 start-page: 844 year: 2018 ident: 10.1016/j.catena.2020.104573_b0295 article-title: The impact of seasonal varied human activity on characteristics and sources of heavy metals in metropolitan road dusts publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.05.059 – volume: 88 start-page: 299 year: 2016 ident: 10.1016/j.catena.2020.104573_b0405 article-title: Heavy metals in agricultural soils of the European Union with implications for food safety publication-title: Environ. Int. doi: 10.1016/j.envint.2015.12.017 – volume: 76 start-page: 272 year: 2017 ident: 10.1016/j.catena.2020.104573_b0075 article-title: Tree-ring recorded moisture variations over the past millennium in the Hexi Corridor, northwest China publication-title: Environmental Earth Sciences doi: 10.1007/s12665-017-6581-1 – volume: 176 start-page: 55 issue: 5 year: 2013 ident: 10.1016/j.catena.2020.104573_b0325 article-title: Status of metal accumulation in farmland soils across China: from distribution to risk assessment publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2013.01.019 – volume: 354 start-page: 161 year: 2018 ident: 10.1016/j.catena.2020.104573_b0185 article-title: A modified receptor model for source apportionment of heavy metal pollution in soil publication-title: J. Hazard. Mater. doi: 10.1016/j.jhazmat.2018.05.006 – volume: 439 start-page: 87 year: 2012 ident: 10.1016/j.catena.2020.104573_b0015 article-title: An inventory of trace elements inputs to French agricultural soils publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2012.09.011 – volume: 650 start-page: 725 year: 2019 ident: 10.1016/j.catena.2020.104573_b0025 article-title: Heavy metal contamination and health risk assessment for children near a large Cu-smelter in central China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.09.081 – volume: 701 year: 2020 ident: 10.1016/j.catena.2020.104573_b0190 article-title: An integrated approach to quantifying ecological and human health risks from different sources of soil heavy metals publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2019.134466 – volume: 159 start-page: 354 year: 2018 ident: 10.1016/j.catena.2020.104573_b0505 article-title: Source identification and spatial distribution of arsenic and heavy metals in agricultural soil around Hunan industrial estate by positive matrix factorization model, principle components analysis and geo statistical analysis publication-title: Ecotoxicol. Environ. Saf. doi: 10.1016/j.ecoenv.2018.04.072 – volume: 39 start-page: 78 year: 2018 ident: 10.1016/j.catena.2020.104573_b0270 article-title: Coordinated evaluation and development model of oasis urbanization from the perspective of new urbanization: a case study in Shandan County of Hexi Corridor, China publication-title: Sustainable Cities and Society doi: 10.1016/j.scs.2018.02.007 – volume: 110 start-page: 14296 year: 2013 ident: 10.1016/j.catena.2020.104573_b0070 article-title: Soil food web properties explain ecosystem services across European land use systems publication-title: PNAS doi: 10.1073/pnas.1305198110 – volume: 225 start-page: 681 year: 2017 ident: 10.1016/j.catena.2020.104573_b0225 article-title: Spatial distribution and source identification of heavy metals in surface soils in a typical coal mine city, Lianyuan, China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.03.057 – volume: 264 start-page: 127 year: 2001 ident: 10.1016/j.catena.2020.104573_b0005 article-title: Of the necessity of knowledge of the natural pedo-geochemical background content in the evaluation of the contamination of soils by trace elements publication-title: Sci. Total Environ. doi: 10.1016/S0048-9697(00)00615-X – volume: 34 start-page: 737 issue: 6 year: 2012 ident: 10.1016/j.catena.2020.104573_b0435 article-title: Geochemical baselines of heavy metals in the sediments of two large freshwater lakes in China: implications for contamination character and history publication-title: Environ. Geochem. Health doi: 10.1007/s10653-012-9492-9 – volume: 193 start-page: 189 year: 2018 ident: 10.1016/j.catena.2020.104573_b0120 article-title: Source apportionment of heavy metals in agricultural soil based on PMF: a case study in Hexi Corridor, northwest China publication-title: Chemosphere doi: 10.1016/j.chemosphere.2017.10.151 – ident: 10.1016/j.catena.2020.104573_b0105 – volume: 642 start-page: 690 year: 2018 ident: 10.1016/j.catena.2020.104573_b0465 article-title: A review of soil heavy metal pollution from industrial and agricultural regions in China: pollution and risk assessment publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.06.068 – volume: 14 start-page: 975 issue: 8 year: 1980 ident: 10.1016/j.catena.2020.104573_b0140 article-title: An ecological risk index for aquatic pollution control a sediment ecological approach publication-title: Water Res. doi: 10.1016/0043-1354(80)90143-8 – volume: 553 start-page: 636 year: 2016 ident: 10.1016/j.catena.2020.104573_b0410 article-title: Heavy metal accumulation related to population density in road dust samples taken from urban sites under different land uses publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.02.101 – volume: 364 start-page: 108 year: 2018 ident: 10.1016/j.catena.2020.104573_b0455 article-title: Improving risk management by using the spatial interaction relationship of heavy metals and PAHs in urban soil publication-title: J. Hazard. Mater. doi: 10.1016/j.jhazmat.2018.09.094 – volume: 45 start-page: 439 year: 2011 ident: 10.1016/j.catena.2020.104573_b0040 article-title: Using multiple type composition data and wind data in PMF analysis to apportion and locate sources of air pollutants publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2010.09.060 – volume: 179 start-page: 55 year: 2017 ident: 10.1016/j.catena.2020.104573_b0220 article-title: Agricultural activities are increasingly intensive with food demand result from expanding population publication-title: Agric. Water Manag. doi: 10.1016/j.agwat.2016.07.010 – volume: 31 start-page: 112 year: 2008 ident: 10.1016/j.catena.2020.104573_b0460 article-title: Calculation of trace elements' toxicity coefficient in the evaluation of potential ecological risk index publication-title: Environ. Sci. Technol. – volume: 235 start-page: 710 year: 2018 ident: 10.1016/j.catena.2020.104573_b0495 article-title: Bioavailability and soil-to-crop transfer of heavy metals in farmland soils: a case study in the pearl river delta, south China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.12.106 – volume: 245 year: 2020 ident: 10.1016/j.catena.2020.104573_b0445 article-title: Heavy Metal(loids) in typical Chinese tobacco-growing soils: concentrations, influence factors and potential health risks publication-title: Chemosphere doi: 10.1016/j.chemosphere.2019.125591 – volume: 90 start-page: 2524 issue: 8 year: 2009 ident: 10.1016/j.catena.2020.104573_b0250 article-title: An inventory of trace element inputs to agricultural soils in China publication-title: J. Environ. Manage. doi: 10.1016/j.jenvman.2009.01.011 – volume: 168 start-page: 1658 year: 2017 ident: 10.1016/j.catena.2020.104573_b0195 article-title: Source apportionment and health risk assessment of heavy metals in soil for a township in Jiangsu Province, China publication-title: Chemosphere doi: 10.1016/j.chemosphere.2016.11.088 – volume: 132 start-page: 16 year: 2017 ident: 10.1016/j.catena.2020.104573_b0290 article-title: Distribution, source identification and health risk assessment of soil heavy metals in urban areas of Isfahan province publication-title: Iran. Journal of African Earth Sciences doi: 10.1016/j.jafrearsci.2017.04.026 – volume: 36 start-page: 1668 year: 2011 ident: 10.1016/j.catena.2020.104573_b0130 article-title: A corrected hybrid approach for wind speed prediction in Hexi Corridor of China publication-title: Energy doi: 10.1016/j.energy.2010.12.063 – volume: 62 start-page: 508 year: 2007 ident: 10.1016/j.catena.2020.104573_b0010 article-title: Water resources constraint force on urbanization in water deficient regions: a case study of the Hexi Corridor, arid area of NW China publication-title: Ecol. Econ. doi: 10.1016/j.ecolecon.2006.07.013 – ident: 10.1016/j.catena.2020.104573_b0425 – volume: 77 start-page: 5 issue: 1 year: 2015 ident: 10.1016/j.catena.2020.104573_b0245 article-title: Impacts of soil and water pollution on food safety and health risks in China publication-title: Environ. Int. doi: 10.1016/j.envint.2014.12.010 – volume: 120 start-page: 129 year: 2013 ident: 10.1016/j.catena.2020.104573_b0060 article-title: Chapter two: chromium contamination and its risk assessment in complex environmental settings publication-title: Adv. Agron. doi: 10.1016/B978-0-12-407686-0.00002-6 – volume: 64 start-page: 1667 issue: 6 year: 2011 ident: 10.1016/j.catena.2020.104573_b0215 article-title: Characteristics of distribution and chemical speciation of heavy metals in environmental mediums around Jinchang mining city publication-title: Northwest China. Environmental Earth Sciences doi: 10.1007/s12665-009-0438-1 – start-page: 92 year: 2017 ident: 10.1016/j.catena.2020.104573_b0500 article-title: Copper smelting and sediment pollution in Bronze Age China: a case study in the Hexi Corridor, northwest China publication-title: Catena doi: 10.1016/j.catena.2017.04.001 – volume: 37 start-page: 23 issue: 1 year: 1997 ident: 10.1016/j.catena.2020.104573_b0335 article-title: Least squares formulation of robust non-negative factor analysis publication-title: Chemometrics and Intelligent Laboratory Systems doi: 10.1016/S0169-7439(96)00044-5 – ident: 10.1016/j.catena.2020.104573_b0395 doi: 10.1073/pnas.1116437108 – volume: 237 start-page: 650 year: 2018 ident: 10.1016/j.catena.2020.104573_b0160 article-title: Source identification of heavy metals in peri-urban agricultural soils of southeast China: an integrated approach publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2018.02.070 – volume: 2 start-page: 23 year: 1993 ident: 10.1016/j.catena.2020.104573_b0095 article-title: Baseline concentrations of As Co, Cr, Cu, Ga, Mn, Ni, and Se in surface soils, Poland publication-title: Appl. Geochem. doi: 10.1016/S0883-2927(09)80005-X – volume: 47 start-page: 3752 year: 2013 ident: 10.1016/j.catena.2020.104573_b0170 article-title: Application of stochastic models in identification and apportionment of heavy metal pollution sources in the surface soils of a large-scale region publication-title: Environment Science Technology doi: 10.1021/es304310k – volume: 77 start-page: 119 year: 2015 ident: 10.1016/j.catena.2020.104573_b0230 article-title: Application of weight method based on canonical correspondence analysis for assessment of Anatidae habitat suitability: a case study in East Dongting Lake, Middle China publication-title: Ecol. Eng. doi: 10.1016/j.ecoleng.2015.01.016 – volume: 212 start-page: 23 year: 2018 ident: 10.1016/j.catena.2020.104573_b0080 article-title: Comparison of the common spatial interpolation methods used to analyze potentially toxic elements surrounding mining regions publication-title: J. Environ. Manage. doi: 10.1016/j.jenvman.2018.01.074 – volume: 39 start-page: 990 issue: 9 year: 2000 ident: 10.1016/j.catena.2020.104573_b0285 article-title: Geochemical background-can we calculate it? publication-title: Environ. Geol. doi: 10.1007/s002549900084 – volume: 134 start-page: 263 year: 2015 ident: 10.1016/j.catena.2020.104573_b0480 article-title: Source apportionment of PAHs in surface sediments using positive matrix factorization combined with GIS for the estuarine area of the Yangtze River, China publication-title: Chemosphere doi: 10.1016/j.chemosphere.2015.04.049 – volume: 33 start-page: 86 issue: 3 year: 2013 ident: 10.1016/j.catena.2020.104573_b0475 article-title: Experimental study of pollution by heavy metals of plastic film in soil-soybean system publication-title: Bulletin of Soil and Water Conservation – volume: 65 start-page: 898 issue: 5 year: 2006 ident: 10.1016/j.catena.2020.104573_b0365 article-title: Trace elements in major solid-pesticides used in the Gaza Strip publication-title: Chemosphere doi: 10.1016/j.chemosphere.2006.03.004 – volume: 637 start-page: 650 year: 2018 ident: 10.1016/j.catena.2020.104573_b0165 article-title: Source identification of heavy metals in peri-urban agricultural soils of southeast China: an integrated approach publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2018.02.070 – ident: 10.1016/j.catena.2020.104573_b0330 – year: 1985 ident: 10.1016/j.catena.2020.104573_b0440 article-title: Spatial variability: its documentation, accommodation and implication to soil surveys – volume: 631–632 start-page: 348 year: 2018 ident: 10.1016/j.catena.2020.104573_b0275 article-title: Contamination source apportionment and health risk assessment of heavy metals in soil around municipal solid waste incinerator: A case study in North China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.03.011 – volume: 168 start-page: 184 year: 2019 ident: 10.1016/j.catena.2020.104573_b0030 article-title: Heavy metals in agricultural soils from a typical township in Guangdong Province, China: occurrences and spatial distribution publication-title: Ecotoxicol. Environ. Saf. doi: 10.1016/j.ecoenv.2018.10.092 – volume: 190 start-page: 194 year: 2018 ident: 10.1016/j.catena.2020.104573_b0055 article-title: Soil heavy metal pollution and risk assessment associated with the Zn-Pb mining region in Yunnan, Southwest China publication-title: Environ. Monit. Assess. doi: 10.1007/s10661-018-6574-x – volume: 243 start-page: 49 year: 2018 ident: 10.1016/j.catena.2020.104573_b0175 article-title: A new exploration of health risk assessment quantification from sources of soil heavy metals under different land use publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2018.08.038 – volume: 223 start-page: 560 year: 2017 ident: 10.1016/j.catena.2020.104573_b0470 article-title: Space-time quantitative source apportionment of soil heavy metal concentration increments publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2017.01.058 – volume: 166 start-page: 64 year: 2016 ident: 10.1016/j.catena.2020.104573_b0490 article-title: Sources and distribution of tracer elements in road dust: The Venice mainland case of study publication-title: J. Geochem. Explor. doi: 10.1016/j.gexplo.2016.04.007 – volume: 26 start-page: 19282 year: 2019 ident: 10.1016/j.catena.2020.104573_b0020 article-title: Metals in soils from a typical rapidly developing county, Southern China: levels, distribution, and source apportionment publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-019-05329-1 – ident: 10.1016/j.catena.2020.104573_b0415 – volume: 186 start-page: 100 year: 2018 ident: 10.1016/j.catena.2020.104573_b0205 article-title: The use of portable X-ray spectrometer in monitoring anthropogenic toxic metals pollution in soils and sediments of urban environment of Dar es Salaam Tanzania publication-title: J. Geochem. Explor. doi: 10.1016/j.gexplo.2017.11.016 – volume: 164 start-page: 261 year: 2018 ident: 10.1016/j.catena.2020.104573_b0240 article-title: Quantitative contributions of the major sources of heavy metals in soils to ecosystem and human health risks: a case study of Yulin, China publication-title: Ecotoxicol. Environ. Saf. doi: 10.1016/j.ecoenv.2018.08.030 – volume: 9 start-page: 17 year: 2015 ident: 10.1016/j.catena.2020.104573_b0150 article-title: Heavy metal contamination of soils: sources, indicators, and assessment publication-title: Journal of Environmental Indicators – volume: 655 start-page: 92 year: 2019 ident: 10.1016/j.catena.2020.104573_b0430 article-title: Spatial distribution and source apportionment of heavy metals in soil from a typical county-level city of Guangdong Province, China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.11.244 – volume: 100 start-page: 269 year: 2001 ident: 10.1016/j.catena.2020.104573_b0155 article-title: Modelling soil variation: past, present, and future publication-title: Geoderma doi: 10.1016/S0016-7061(01)00025-8 – volume: 610–611 start-page: 419 year: 2018 ident: 10.1016/j.catena.2020.104573_b0340 article-title: “Heavy metal” - What to do now: to use or not to use? publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2017.08.043 – volume: 30 start-page: 209 year: 2004 ident: 10.1016/j.catena.2020.104573_b0100 article-title: Lead contamination and isotope signatures in the urban environment publication-title: Environ. Int. doi: 10.1016/S0160-4120(03)00175-2 – volume: 243 start-page: 137 year: 2019 ident: 10.1016/j.catena.2020.104573_b0125 article-title: Prediction of heavy metals in soils of an arid area based on multi-spectral data publication-title: J. Environ. Manage. doi: 10.1016/j.jenvman.2019.04.109 – volume: 84 start-page: 550 issue: 1 year: 2014 ident: 10.1016/j.catena.2020.104573_b0090 article-title: Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia) publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2014.03.060 – volume: 223 start-page: 121 year: 2017 ident: 10.1016/j.catena.2020.104573_b0370 article-title: Fine particulates over South Asia: review and meta-analysis of PM2.5 source apportionment through receptor model publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2016.12.071 – volume: 643 start-page: 516 year: 2018 ident: 10.1016/j.catena.2020.104573_b0035 article-title: Monitoring metal pollution in soils using portable-XRF and conventional laboratory-based techniques: evaluation of the performance and limitations according to metal properties and sources publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.06.178 – volume: 651 start-page: 3127 year: 2019 ident: 10.1016/j.catena.2020.104573_b0085 article-title: Multiple methods for the identification of heavy metal sources in cropland soils from a resource-based region publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.10.130 – volume: 378 start-page: 13 year: 2007 ident: 10.1016/j.catena.2020.104573_b0305 article-title: Baseline values for heavy metals in agricultural soils in an European Mediterranean region publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2007.01.010 – volume: 628–629 start-page: 241 year: 2018 ident: 10.1016/j.catena.2020.104573_b0115 article-title: Assessment of Cr pollution in tributary sediment cores in the Three Gorges Reservoir combining geochemical baseline and in situ DGT publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.01.322 – year: 2018 ident: 10.1016/j.catena.2020.104573_bib528 – volume: 50 start-page: 101703 year: 2019 ident: 10.1016/j.catena.2020.104573_b0145 article-title: Changes in mountainous runoff in three inland river basins in the arid Hexi Corridor, China, and its influencing factors publication-title: Sustainable Cities and Society doi: 10.1016/j.scs.2019.101703 – volume: 646 start-page: 19 year: 2018 ident: 10.1016/j.catena.2020.104573_b0255 article-title: An integrated approach to identify quantitative sources and hazardous areas of heavy metals in soils publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.07.257 – volume: 601–602 start-page: 556 year: 2017 ident: 10.1016/j.catena.2020.104573_b0375 article-title: Source apportionment and health risk assessment among specific age groups during haze and non-haze episodes in Kuala Lumpur, Malaysia publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2017.05.153 – ident: 10.1016/j.catena.2020.104573_b0300 – volume: 22 start-page: 239 issue: 3 year: 1990 ident: 10.1016/j.catena.2020.104573_b0065 article-title: The origins of kriging publication-title: Math. Geol. doi: 10.1007/BF00889887 – ident: 10.1016/j.catena.2020.104573_b0310 doi: 10.1016/j.chemosphere.2006.03.016 – volume: 48 start-page: 358 issue: 48 year: 2015 ident: 10.1016/j.catena.2020.104573_b0200 article-title: Geochemical baseline determination and pollution assessment of heavy metals in urban soils of Karachi publication-title: Pakistan. Ecological Indicators doi: 10.1016/j.ecolind.2014.08.032 – volume: 207 start-page: 159 year: 2018 ident: 10.1016/j.catena.2020.104573_b0180 article-title: Heavy metal pollution and health risk assessment of agricultural soils in a typical peri-urban area in southeast China publication-title: J. Environ. Manage. doi: 10.1016/j.jenvman.2017.10.072 – volume: 633 start-page: 206 year: 2018 ident: 10.1016/j.catena.2020.104573_b0235 article-title: Remediation techniques for heavy metal-contaminated soils: principles and applicability publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.03.161 – volume: 426 start-page: 33 year: 2016 ident: 10.1016/j.catena.2020.104573_b0525 article-title: Rapid agricultural transformation in the prehistoric Hexi Corridor, China publication-title: Quat. Int. doi: 10.1016/j.quaint.2016.04.021 – volume: 311 start-page: 205 year: 2003 ident: 10.1016/j.catena.2020.104573_b0315 article-title: An inventory of heavy metals inputs to agricultural soils in England and Wales publication-title: Sci. Total Environ. doi: 10.1016/S0048-9697(03)00139-6 – volume: 626 start-page: 203 year: 2018 ident: 10.1016/j.catena.2020.104573_b0350 article-title: Source apportionment of soil heavy metals using robust absolute principal component scores-robust geographically weighted regression (RAPCS-RGWR) receptor model publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.01.070 – volume: 15 start-page: 163 year: 2015 ident: 10.1016/j.catena.2020.104573_b0265 article-title: Identifying the origins and spatial distributions of heavy metals in soils of Ju country (Eastern China) using multi-variate and geostatistical approach publication-title: Journal of Soils Sediments doi: 10.1007/s11368-014-0937-x – volume: 164 start-page: 118 year: 2018 ident: 10.1016/j.catena.2020.104573_b0360 article-title: Inventories of heavy metal inputs and outputs to and from agricultural soils: a review publication-title: Ecotoxicol. Environ. Saf. doi: 10.1016/j.ecoenv.2018.08.016 – volume: 188 start-page: 350 year: 2018 ident: 10.1016/j.catena.2020.104573_b0210 article-title: A review of pXRF (field portable X-ray fluorescence) applications for applied geochemistry publication-title: J. Geochem. Explor. doi: 10.1016/j.gexplo.2018.02.006 – volume: 72 start-page: 510 year: 2017 ident: 10.1016/j.catena.2020.104573_b0390 article-title: Geochemical baseline establishment and ecological risk evaluation of heavy metals in greenhouse soils from Dongtai, China publication-title: Ecol. Ind. doi: 10.1016/j.ecolind.2016.08.037 |
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•Geochemical baseline values of heavy metal in agricultural soil were evaluated.•The indexes of PI, EI and RI revealed that soil was... To determine the heavy metal contamination of agricultural soil in the Hexi Corridor, 376 soil samples were collected and analyzed for their heavy metal... |
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| SubjectTerms | Agricultural soil agricultural soils atmospheric deposition carcinogenicity catenas Geochemical baseline value geostatistics health effects assessments Health risk Heavy metal heavy metals PMF pollution Pollution assessment risk traffic |
| Title | Contamination characteristics, source apportionment, and health risk assessment of heavy metals in agricultural soil in the Hexi Corridor |
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