An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China
Longchuan River Basin is located in Chuxiong (central Yunnan province, China) that is subject to severe drought. Agriculture is critical to local economy, which can lead to intense agricultural activity. Accordingly, delineating groundwater potential zones and developing usable groundwater resources...
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Published in | Earth science informatics Vol. 13; no. 3; pp. 847 - 857 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.09.2020
Springer Nature B.V |
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Abstract | Longchuan River Basin is located in Chuxiong (central Yunnan province, China) that is subject to severe drought. Agriculture is critical to local economy, which can lead to intense agricultural activity. Accordingly, delineating groundwater potential zones and developing usable groundwater resources are required to meet potable and irrigating water demands in the zone. Remote sensing (RS), geographic information system (GIS) and improved fuzzy analytic hierarchy process (FAHP) were adopted to delineate the groundwater potential zones to assess the groundwater availability in Longchuan River Basin. The surveys of China geological map, Landsat 8 OLI and GDEM Aster satellite images were employed to generate eight thematic layers, i.e., lithology, land use/land cover (LULC), lineaments density, rainfall, slope, normalized difference vegetation index (NDVI), drainage density and elevation; subsequently, the mentioned layers were converted into raster data in ArcGIS. According to the ability of thematic layer to impact groundwater potential, the mentioned criteria were weighted differently by improved FAHP. Next, a map based on weighted linear combination (WLC) model was generated. Lastly, the groundwater potential zones of study area fell into ‘poor’ zone, ‘moderate’ zone and ‘good’ zone. As revealed from the results of the study, nearly 31.22% of the area exhibited ‘good’ groundwater potential, approximately 36.46% was terrain exhibiting ‘moderate’ groundwater potential, and the residual 32.23% were considered to exhibit ‘poor’ groundwater potential. The results provide more insights, and the groundwater potential zones map can be exploited by local governments for groundwater resources management and exploitation. |
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AbstractList | Longchuan River Basin is located in Chuxiong (central Yunnan province, China) that is subject to severe drought. Agriculture is critical to local economy, which can lead to intense agricultural activity. Accordingly, delineating groundwater potential zones and developing usable groundwater resources are required to meet potable and irrigating water demands in the zone. Remote sensing (RS), geographic information system (GIS) and improved fuzzy analytic hierarchy process (FAHP) were adopted to delineate the groundwater potential zones to assess the groundwater availability in Longchuan River Basin. The surveys of China geological map, Landsat 8 OLI and GDEM Aster satellite images were employed to generate eight thematic layers, i.e., lithology, land use/land cover (LULC), lineaments density, rainfall, slope, normalized difference vegetation index (NDVI), drainage density and elevation; subsequently, the mentioned layers were converted into raster data in ArcGIS. According to the ability of thematic layer to impact groundwater potential, the mentioned criteria were weighted differently by improved FAHP. Next, a map based on weighted linear combination (WLC) model was generated. Lastly, the groundwater potential zones of study area fell into ‘poor’ zone, ‘moderate’ zone and ‘good’ zone. As revealed from the results of the study, nearly 31.22% of the area exhibited ‘good’ groundwater potential, approximately 36.46% was terrain exhibiting ‘moderate’ groundwater potential, and the residual 32.23% were considered to exhibit ‘poor’ groundwater potential. The results provide more insights, and the groundwater potential zones map can be exploited by local governments for groundwater resources management and exploitation. |
Author | Luo, Dayou Zhang, Haonan Wen, Xingping Zhang, Rui Xu, Junlong |
Author_xml | – sequence: 1 givenname: Dayou surname: Luo fullname: Luo, Dayou organization: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunnan Province – sequence: 2 givenname: Xingping surname: Wen fullname: Wen, Xingping email: wfxyp@qq.com organization: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunnan Province – sequence: 3 givenname: Haonan surname: Zhang fullname: Zhang, Haonan organization: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunnan Province – sequence: 4 givenname: Junlong surname: Xu fullname: Xu, Junlong organization: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunnan Province – sequence: 5 givenname: Rui surname: Zhang fullname: Zhang, Rui organization: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunnan Province |
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Cites_doi | 10.3321/j.issn:1000-274X.2005.01.004 10.1007/s12665-020-8862-3 10.1080/01431160802468255/ 10.1080/01431161.2011.652312 10.1016/j.gsd.2019.100328 10.1007/s13369-014-1098-3 10.1007/s12524-014-0442-0 10.1016/j.ejrh.2020.100674 10.1080/02508061003664419 10.1007/s12594-016-0431-8 10.1007/s12665-020-8843-6 10.1016/j.gsf.2016.11.006 10.1623/hysj.48.5.821.51452 10.1016/j.gsd.2020.100353 10.1007/s10040-010-0631-z 10.2478/v10085-009-0008-5 10.3969/j.issn.0517-6611.2008.01.010 10.1016/j.jenvman.2012.01.003 10.1007/s12145-018-0363-5 10.13522/j.cnki.ggps.2015.06.020 10.1007/s12594-014-0167-2 10.1007/s10040-010-0598-9 10.1016/j.jhydrol.2015.03.056 10.13209/j.0479-8023.2019.040 10.1016/j.jhydrol.2016.09.005 10.1007/s10040-006-0129-x 10.1007/s10040-006-0126-0 10.1016/j.ecolind.2019.105850 10.4028/www.scientific.net/AMR.779-780.1619 10.1007/s10661-015-4376-y 10.1007/s10040-005-0437-6 10.1007/s10040-011-0703-8 10.1007/s10040-006-0138-9 10.3390/w12020423 10.1080/24749508.2020.1726562 10.1016/j.jclepro.2017.11.161 |
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Keywords | GIS RS Improved fuzzy analytic hierarchy process (FAHP) Groundwater potential zones Weighted linear combination (WLC) Longchuan River basin |
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References | Elewa, Qaddah (CR4) 2011; 19 Leblanc, Favreau, Tweed, Leduc, Razack, Mofor (CR15) 2007; 15 Yong, Xianghong, Jian (CR36) 2005; 35 Jidong, Mengjie, Su, Xiaohu (CR10) 2008; 36 Rahman, Rusteberg, Gogu, Ferreira, Sauter (CR24) 2012; 99 Sander (CR29) 2007; 15 Thapa, Gupta, Reddy (CR33) 2017; 8 Gupta, Srivastava (CR6) 2010; 35 Seraphin, Vallet-Coulomb, Gonçalvès (CR31) 2016; 542 Murthy, Mamob (CR17) 2009; 30 Hongmei, Xiaoling, Jian, Zhiyong (CR8) 2012; 33 Kim (CR14) 2020; 79 Pan, Li, Jiang (CR20) 2013; 779-780 Ping, Jinxiao, Yongmei, Shuhua (CR22) 2019; 55 Rui, Long, Tengyun, Ying (CR27) 2015; 34 Jha, Chowdhary, Chowdhury (CR9) 2010; 18 CR2 Pradhan (CR23) 2009; 1 Thilagavathi, Subramani, Suresh, Karunanidhi (CR34) 2015; 187 Shaban, Khawlie, Abdallah (CR32) 2006; 14 Selvam, Magesh, Sivasubramanian, Soundranayagam, Manimaran, Seshunarayana (CR30) 2014; 84 Das, Pal (CR3) 2020; 79 Geetha, Elangovan, Sivakumar (CR5) 2016; 87 Tweed, Leblanc, Webb, Lubczynski (CR35) 2007; 15 Lentswe, Molwalefhe (CR16) 2020; 28 Oikonomidis, Dimogianni, Kazakis, Voudouris (CR19) 2015; 525 Haider, Ghumman, Al-Salamah, Thabit (CR7) 2020; 12 Al Saud (CR1) 2010; 18 Kanagaraj, Suganthi, Elango, Magesh (CR11) 2019; 12 CR21 Nag, Saha (CR18) 2014; 39 Rao, Jugran (CR25) 2003; 48 Kaur, Rishi, Singh, Thakur (CR12) 2020; 110 Rezaei, Hassani, Tziritis, Mousavi, Jabbari (CR26) 2020; 100353 Khashei-Siuki, Keshavarz, Sharifan (CR13) 2020; 10 Samson, Elangovan (CR28) 2015; 43 M Al Saud (469_CR1) 2010; 18 G Kanagaraj (469_CR11) 2019; 12 Z Hongmei (469_CR8) 2012; 33 A Rezaei (469_CR26) 2020; 100353 S Samson (469_CR28) 2015; 43 SK Nag (469_CR18) 2014; 39 HH Elewa (469_CR4) 2011; 19 YS Rao (469_CR25) 2003; 48 D Oikonomidis (469_CR19) 2015; 525 GB Lentswe (469_CR16) 2020; 28 L Kaur (469_CR12) 2020; 110 P Sander (469_CR29) 2007; 15 469_CR21 M Gupta (469_CR6) 2010; 35 MK Jha (469_CR9) 2010; 18 S Selvam (469_CR30) 2014; 84 R Thapa (469_CR33) 2017; 8 B Das (469_CR3) 2020; 79 GB Kim (469_CR14) 2020; 79 H Ping (469_CR22) 2019; 55 469_CR2 A Shaban (469_CR32) 2006; 14 N Thilagavathi (469_CR34) 2015; 187 J Pan (469_CR20) 2013; 779-780 A Khashei-Siuki (469_CR13) 2020; 10 B Pradhan (469_CR23) 2009; 1 G Rui (469_CR27) 2015; 34 M Leblanc (469_CR15) 2007; 15 T Jidong (469_CR10) 2008; 36 MA Rahman (469_CR24) 2012; 99 SO Tweed (469_CR35) 2007; 15 P Seraphin (469_CR31) 2016; 542 L Yong (469_CR36) 2005; 35 KSR Murthy (469_CR17) 2009; 30 SA Geetha (469_CR5) 2016; 87 H Haider (469_CR7) 2020; 12 |
References_xml | – volume: 35 start-page: 11 issue: 1 year: 2005 end-page: 12,16 ident: CR36 article-title: An improved fuzzy AHP method publication-title: J Northwest Univ (Nat Sci Ed) doi: 10.3321/j.issn:1000-274X.2005.01.004 – volume: 79 start-page: 1 issue: 5 year: 2020 end-page: 17 ident: CR14 article-title: A study on the establishment of groundwater protection area around a saline waterway by combining artificial neural network and GIS-based AHP publication-title: Environ Earth Sci doi: 10.1007/s12665-020-8862-3 – volume: 30 start-page: 2729 year: 2009 end-page: 2740 ident: CR17 article-title: Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele sub basin, South Ethiopia. Int. J publication-title: Remote Sens doi: 10.1080/01431160802468255/ – volume: 33 start-page: 4527 issue: 14 year: 2012 end-page: 4552 ident: CR8 article-title: Land-use/−cover change spatial patterns and their impacts on sediment charge in the Longchuan River catchment, South-Western China publication-title: Int J Remote Sens doi: 10.1080/01431161.2011.652312 – volume: 10 start-page: 100328 year: 2020 ident: CR13 article-title: Comparison of AHP and FAHP methods in determining suitable areas for drinking water harvesting in Birjand aquifer, Iran publication-title: Groundw Sustain Dev doi: 10.1016/j.gsd.2019.100328 – volume: 39 start-page: 5543 year: 2014 end-page: 5553 ident: CR18 article-title: Integration of GIS and remote sensing in groundwater investigations: a case study in Gangajalghati block, Bankura district, West Bengal, India publication-title: Arab J Sci Eng doi: 10.1007/s13369-014-1098-3 – volume: 43 start-page: 769 issue: 4 year: 2015 end-page: 778 ident: CR28 article-title: Delineation of groundwater recharge potential zones in Namakkal District, Tamilnadu, India using remote sensing and GIS publication-title: J Indian Soc Remote Sens doi: 10.1007/s12524-014-0442-0 – ident: CR2 – volume: 28 start-page: 100674 year: 2020 ident: CR16 article-title: Delineation of potential groundwater recharge zones using analytic hierarchy process-guided GIS in the semi-arid Motloutse watershed, eastern Botswana publication-title: J Hydrol Reg Stud doi: 10.1016/j.ejrh.2020.100674 – volume: 35 start-page: 233 year: 2010 end-page: 245 ident: CR6 article-title: Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat publication-title: India Water Int doi: 10.1080/02508061003664419 – volume: 87 start-page: 573 year: 2016 end-page: 582 ident: CR5 article-title: Evaluation of groundwater potential zones using electric resistivity and GIS in Noyyal River basin, Tamil Nadu publication-title: J Geol Soc India doi: 10.1007/s12594-016-0431-8 – volume: 79 start-page: 1 issue: 5 year: 2020 end-page: 16 ident: CR3 article-title: Assessment of groundwater vulnerability to over-exploitation using MCDA, AHP, fuzzy logic and novel ensemble models: a case study of Goghat-I and II blocks of West Bengal, India publication-title: Environ Earth Sci doi: 10.1007/s12665-020-8843-6 – volume: 8 start-page: 1105 issue: 5 year: 2017 end-page: 1114 ident: CR33 article-title: Application of geospatial modelling technique in delineation of fluoride contamination zones within Dwarka Basin, Birbhum, India publication-title: Geosci Front doi: 10.1016/j.gsf.2016.11.006 – volume: 48 start-page: 821 year: 2003 end-page: 833 ident: CR25 article-title: Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS publication-title: Hydrol Sci J doi: 10.1623/hysj.48.5.821.51452 – volume: 100353 start-page: 100353 year: 2020 ident: CR26 article-title: Hydrochemical characterization and evaluation of groundwater quality in Dalgan basin, SE Iran publication-title: Groundw Sustain Dev doi: 10.1016/j.gsd.2020.100353 – volume: 18 start-page: 1713 year: 2010 end-page: 1728 ident: CR9 article-title: Groundwater assessment in Salboni block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques publication-title: Hydrogeol J doi: 10.1007/s10040-010-0631-z – volume: 1 start-page: 120 issue: 1 year: 2009 end-page: 129 ident: CR23 article-title: Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques publication-title: Eur J Geosci doi: 10.2478/v10085-009-0008-5 – volume: 36 start-page: 22 issue: 1 year: 2008 end-page: 23 ident: CR10 article-title: Study on confirming the weights of risk evaluation indexes in geological disasters by improved fuzzy publication-title: J Anhui Agric Sci doi: 10.3969/j.issn.0517-6611.2008.01.010 – ident: CR21 – volume: 99 start-page: 61 year: 2012 end-page: 75 ident: CR24 article-title: A new spatial multi-criteria decision support tool for site selection for implementation of managed aquifer recharge publication-title: J Environ Manag doi: 10.1016/j.jenvman.2012.01.003 – volume: 12 start-page: 211 year: 2019 end-page: 223 ident: CR11 article-title: Assessment of groundwater potential zones in Vellore district, Tamil Nadu, India using geospatial techniques publication-title: Earth Sci Inf doi: 10.1007/s12145-018-0363-5 – volume: 34 start-page: 95 issue: 6 year: 2015 end-page: 98 ident: CR27 article-title: The Spatio-temporal distribution and evolution of drought in Dianzhong publication-title: J Irrig Drain doi: 10.13522/j.cnki.ggps.2015.06.020 – volume: 84 start-page: 597 issue: 5 year: 2014 end-page: 608 ident: CR30 article-title: Deciphering of groundwater potential zones in Tuticorin, Tamil Nadu, using remote sensing and GIS techniques publication-title: J Geol Soc India doi: 10.1007/s12594-014-0167-2 – volume: 18 start-page: 1481 year: 2010 end-page: 1495 ident: CR1 article-title: Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian peninsula, using remote sensing and geographic information system techniques publication-title: Hydrogeol J doi: 10.1007/s10040-010-0598-9 – volume: 525 start-page: 197 year: 2015 end-page: 208 ident: CR19 article-title: A GIS/remote sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece publication-title: Hydrol J doi: 10.1016/j.jhydrol.2015.03.056 – volume: 55 start-page: 626 issue: 4 year: 2019 end-page: 634 ident: CR22 article-title: Analysis of precipitation characteristics and its causes in Central Yunnan city publication-title: Acta Sci Nat Univ Pekin doi: 10.13209/j.0479-8023.2019.040 – volume: 542 start-page: 241 year: 2016 end-page: 253 ident: CR31 article-title: Partitioning groundwater recharge between rainfall infiltration and irrigation return flow using stable isotopes: the crau aquifer publication-title: Hydrol J doi: 10.1016/j.jhydrol.2016.09.005 – volume: 15 start-page: 75 issue: 1 year: 2007 end-page: 96 ident: CR35 article-title: Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia publication-title: Hydrogeol J doi: 10.1007/s10040-006-0129-x – volume: 15 start-page: 97 year: 2007 end-page: 100 ident: CR15 article-title: Remote sensing for groundwater modelling in large semiarid areas: Lake Chad Basin, Africa publication-title: Hydrogeol J doi: 10.1007/s10040-006-0126-0 – volume: 110 start-page: 105850 year: 2020 ident: CR12 article-title: Groundwater potential assessment of an alluvial aquifer in Yamuna sub-basin (Panipat region) using remote sensing and GIS techniques in conjunction with analytical hierarchy process (AHP) and catastrophe theory (CT) publication-title: Ecol Indic doi: 10.1016/j.ecolind.2019.105850 – volume: 779-780 start-page: 1619 year: 2013 end-page: 1622 ident: CR20 article-title: Improved fuzzy equilibrium average type comprehensive evaluation method in the application of water quality evaluation publication-title: Adv Mater Res doi: 10.4028/www.scientific.net/AMR.779-780.1619 – volume: 187 start-page: 164 issue: 4 year: 2015 end-page: 185 ident: CR34 article-title: Mapping of groundwater potential zones in Salem Chalk Hills, Tamil Nadu, India, using remote sensing and GIS techniques publication-title: Environ Monit Assess doi: 10.1007/s10661-015-4376-y – volume: 14 start-page: 433 issue: 4 year: 2006 end-page: 443 ident: CR32 article-title: Use of remote sensing and GIS to determine recharge potential zones: the case of occidental Lebanon publication-title: Hydrogeol J doi: 10.1007/s10040-005-0437-6 – volume: 19 start-page: 613 issue: 3 year: 2011 end-page: 628 ident: CR4 article-title: Groundwater potentiality mapping in the Sinai peninsula, Egypt, using remote sensing and GIS-watershed-based modeling publication-title: Hydrogeol J doi: 10.1007/s10040-011-0703-8 – volume: 15 start-page: 71 year: 2007 end-page: 74 ident: CR29 article-title: Lineaments in groundwater exploration: a review of applications and limitations publication-title: Hydrogeol J doi: 10.1007/s10040-006-0138-9 – volume: 12 start-page: 423 issue: 2 year: 2020 ident: CR7 article-title: Assessment framework for natural groundwater contamination in arid regions: development of indices and wells ranking system using fuzzy VIKOR method publication-title: Water doi: 10.3390/w12020423 – ident: 469_CR2 doi: 10.1080/24749508.2020.1726562 – volume: 79 start-page: 1 issue: 5 year: 2020 ident: 469_CR14 publication-title: Environ Earth Sci doi: 10.1007/s12665-020-8862-3 – volume: 35 start-page: 233 year: 2010 ident: 469_CR6 publication-title: India Water Int doi: 10.1080/02508061003664419 – volume: 79 start-page: 1 issue: 5 year: 2020 ident: 469_CR3 publication-title: Environ Earth Sci doi: 10.1007/s12665-020-8843-6 – volume: 15 start-page: 71 year: 2007 ident: 469_CR29 publication-title: Hydrogeol J doi: 10.1007/s10040-006-0138-9 – volume: 1 start-page: 120 issue: 1 year: 2009 ident: 469_CR23 publication-title: Eur J Geosci doi: 10.2478/v10085-009-0008-5 – volume: 110 start-page: 105850 year: 2020 ident: 469_CR12 publication-title: Ecol Indic doi: 10.1016/j.ecolind.2019.105850 – volume: 33 start-page: 4527 issue: 14 year: 2012 ident: 469_CR8 publication-title: Int J Remote Sens doi: 10.1080/01431161.2011.652312 – volume: 48 start-page: 821 year: 2003 ident: 469_CR25 publication-title: Hydrol Sci J doi: 10.1623/hysj.48.5.821.51452 – volume: 43 start-page: 769 issue: 4 year: 2015 ident: 469_CR28 publication-title: J Indian Soc Remote Sens doi: 10.1007/s12524-014-0442-0 – volume: 34 start-page: 95 issue: 6 year: 2015 ident: 469_CR27 publication-title: J Irrig Drain doi: 10.13522/j.cnki.ggps.2015.06.020 – volume: 39 start-page: 5543 year: 2014 ident: 469_CR18 publication-title: Arab J Sci Eng doi: 10.1007/s13369-014-1098-3 – volume: 525 start-page: 197 year: 2015 ident: 469_CR19 publication-title: Hydrol J doi: 10.1016/j.jhydrol.2015.03.056 – volume: 35 start-page: 11 issue: 1 year: 2005 ident: 469_CR36 publication-title: J Northwest Univ (Nat Sci Ed) doi: 10.3321/j.issn:1000-274X.2005.01.004 – volume: 542 start-page: 241 year: 2016 ident: 469_CR31 publication-title: Hydrol J doi: 10.1016/j.jhydrol.2016.09.005 – volume: 30 start-page: 2729 year: 2009 ident: 469_CR17 publication-title: Remote Sens doi: 10.1080/01431160802468255/ – volume: 15 start-page: 97 year: 2007 ident: 469_CR15 publication-title: Hydrogeol J doi: 10.1007/s10040-006-0126-0 – volume: 100353 start-page: 100353 year: 2020 ident: 469_CR26 publication-title: Groundw Sustain Dev doi: 10.1016/j.gsd.2020.100353 – volume: 28 start-page: 100674 year: 2020 ident: 469_CR16 publication-title: J Hydrol Reg Stud doi: 10.1016/j.ejrh.2020.100674 – volume: 14 start-page: 433 issue: 4 year: 2006 ident: 469_CR32 publication-title: Hydrogeol J doi: 10.1007/s10040-005-0437-6 – volume: 87 start-page: 573 year: 2016 ident: 469_CR5 publication-title: J Geol Soc India doi: 10.1007/s12594-016-0431-8 – volume: 55 start-page: 626 issue: 4 year: 2019 ident: 469_CR22 publication-title: Acta Sci Nat Univ Pekin doi: 10.13209/j.0479-8023.2019.040 – volume: 99 start-page: 61 year: 2012 ident: 469_CR24 publication-title: J Environ Manag doi: 10.1016/j.jenvman.2012.01.003 – volume: 18 start-page: 1481 year: 2010 ident: 469_CR1 publication-title: Hydrogeol J doi: 10.1007/s10040-010-0598-9 – volume: 19 start-page: 613 issue: 3 year: 2011 ident: 469_CR4 publication-title: Hydrogeol J doi: 10.1007/s10040-011-0703-8 – volume: 36 start-page: 22 issue: 1 year: 2008 ident: 469_CR10 publication-title: J Anhui Agric Sci doi: 10.3969/j.issn.0517-6611.2008.01.010 – volume: 10 start-page: 100328 year: 2020 ident: 469_CR13 publication-title: Groundw Sustain Dev doi: 10.1016/j.gsd.2019.100328 – ident: 469_CR21 doi: 10.1016/j.jclepro.2017.11.161 – volume: 84 start-page: 597 issue: 5 year: 2014 ident: 469_CR30 publication-title: J Geol Soc India doi: 10.1007/s12594-014-0167-2 – volume: 12 start-page: 423 issue: 2 year: 2020 ident: 469_CR7 publication-title: Water doi: 10.3390/w12020423 – volume: 18 start-page: 1713 year: 2010 ident: 469_CR9 publication-title: Hydrogeol J doi: 10.1007/s10040-010-0631-z – volume: 187 start-page: 164 issue: 4 year: 2015 ident: 469_CR34 publication-title: Environ Monit Assess doi: 10.1007/s10661-015-4376-y – volume: 779-780 start-page: 1619 year: 2013 ident: 469_CR20 publication-title: Adv Mater Res doi: 10.4028/www.scientific.net/AMR.779-780.1619 – volume: 8 start-page: 1105 issue: 5 year: 2017 ident: 469_CR33 publication-title: Geosci Front doi: 10.1016/j.gsf.2016.11.006 – volume: 12 start-page: 211 year: 2019 ident: 469_CR11 publication-title: Earth Sci Inf doi: 10.1007/s12145-018-0363-5 – volume: 15 start-page: 75 issue: 1 year: 2007 ident: 469_CR35 publication-title: Hydrogeol J doi: 10.1007/s10040-006-0129-x |
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SubjectTerms | Agricultural management Agriculture Agronomy Analytic hierarchy process ASTER (radiometer) Drainage density Drinking water Drought Earth and Environmental Science Earth Sciences Earth System Sciences Elevation Geographic information systems Geologic mapping Geological mapping Geological surveys Groundwater Groundwater availability Groundwater management Groundwater potential Groundwater resources Information Systems Applications (incl.Internet) Land cover Land use Landsat Landsat satellites Lithology Local economy Local government Normalized difference vegetative index Ontology Rainfall Remote sensing Research Article Resource management River basins Rivers Satellite imagery Simulation and Modeling Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Vegetation index Water resources |
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Title | An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China |
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