The relationship between urban heat island and air pollutants and them with influencing factors in the Yangtze River Delta, China
•There was a great spaito-temporal differences in UHI and air pollution in the YRD.•There was a positive correlation between surface UHI and O3 pollution in the YRD.•Vegetation has a good cooling LST and dust removal function in urban area.•The natural and human factors collectively influence on UHI...
Saved in:
| Published in | Ecological indicators Vol. 129; p. 107976 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.10.2021
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1470-160X 1872-7034 |
| DOI | 10.1016/j.ecolind.2021.107976 |
Cover
Loading…
| Abstract | •There was a great spaito-temporal differences in UHI and air pollution in the YRD.•There was a positive correlation between surface UHI and O3 pollution in the YRD.•Vegetation has a good cooling LST and dust removal function in urban area.•The natural and human factors collectively influence on UHI and air pollutants.
The relationship between urban heat island (UHI) and air pollution is worth exploring. We used land surface temperature (LST) and air quality data investigated the spatio-temporal distribution of UHI intensity (UHII) and six air pollutants of carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), fine particle matter (PM2.5), coarse particle matter (PM10) and sulfur dioxide (SO2) in the YRD during 2015–2019, and the correlation relationship between UHII and air pollutants concentration. Using regression analysis to analyze the influence of natural and human factors on the UHI and air pollutants. We found that: (1) Annual average daytime UHII was 1.20 ℃ and northern higher than southern cities. Nighttime UHII was 0.35 ℃ and southern higher than northern. Annual average CO, NO2, O3, PM2.5, PM10 and SO2 concentrations were 0.83 mg/m3, 35.41 ug/m3, 63.34 ug/m3, 44.16 ug/m3, 73.46 ug/m3, 13.86 ug/m3, respectively. Air pollution in inland cities were worse than coastal cities. (2) A significant positive correlation between daytime UHII and O3 concentration, and a negative correlation with other pollutants. (3) The influence of LST is the closest factors, followed by vegetation coverage, geographic location, elevation and economic development intensity on UHII and air pollution. |
|---|---|
| AbstractList | The relationship between urban heat island (UHI) and air pollution is worth exploring. We used land surface temperature (LST) and air quality data investigated the spatio-temporal distribution of UHI intensity (UHII) and six air pollutants of carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), fine particle matter (PM2.5), coarse particle matter (PM10) and sulfur dioxide (SO2) in the YRD during 2015–2019, and the correlation relationship between UHII and air pollutants concentration. Using regression analysis to analyze the influence of natural and human factors on the UHI and air pollutants. We found that: (1) Annual average daytime UHII was 1.20 ℃ and northern higher than southern cities. Nighttime UHII was 0.35 ℃ and southern higher than northern. Annual average CO, NO2, O3, PM2.5, PM10 and SO2 concentrations were 0.83 mg/m3, 35.41 ug/m3, 63.34 ug/m3, 44.16 ug/m3, 73.46 ug/m3, 13.86 ug/m3, respectively. Air pollution in inland cities were worse than coastal cities. (2) A significant positive correlation between daytime UHII and O3 concentration, and a negative correlation with other pollutants. (3) The influence of LST is the closest factors, followed by vegetation coverage, geographic location, elevation and economic development intensity on UHII and air pollution. •There was a great spaito-temporal differences in UHI and air pollution in the YRD.•There was a positive correlation between surface UHI and O3 pollution in the YRD.•Vegetation has a good cooling LST and dust removal function in urban area.•The natural and human factors collectively influence on UHI and air pollutants. The relationship between urban heat island (UHI) and air pollution is worth exploring. We used land surface temperature (LST) and air quality data investigated the spatio-temporal distribution of UHI intensity (UHII) and six air pollutants of carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), fine particle matter (PM2.5), coarse particle matter (PM10) and sulfur dioxide (SO2) in the YRD during 2015–2019, and the correlation relationship between UHII and air pollutants concentration. Using regression analysis to analyze the influence of natural and human factors on the UHI and air pollutants. We found that: (1) Annual average daytime UHII was 1.20 ℃ and northern higher than southern cities. Nighttime UHII was 0.35 ℃ and southern higher than northern. Annual average CO, NO2, O3, PM2.5, PM10 and SO2 concentrations were 0.83 mg/m3, 35.41 ug/m3, 63.34 ug/m3, 44.16 ug/m3, 73.46 ug/m3, 13.86 ug/m3, respectively. Air pollution in inland cities were worse than coastal cities. (2) A significant positive correlation between daytime UHII and O3 concentration, and a negative correlation with other pollutants. (3) The influence of LST is the closest factors, followed by vegetation coverage, geographic location, elevation and economic development intensity on UHII and air pollution. The relationship between urban heat island (UHI) and air pollution is worth exploring. We used land surface temperature (LST) and air quality data investigated the spatio-temporal distribution of UHI intensity (UHII) and six air pollutants of carbon monoxide (CO), nitrogen dioxide (NO₂), ozone (O₃), fine particle matter (PM₂.₅), coarse particle matter (PM₁₀) and sulfur dioxide (SO₂) in the YRD during 2015–2019, and the correlation relationship between UHII and air pollutants concentration. Using regression analysis to analyze the influence of natural and human factors on the UHI and air pollutants. We found that: (1) Annual average daytime UHII was 1.20 ℃ and northern higher than southern cities. Nighttime UHII was 0.35 ℃ and southern higher than northern. Annual average CO, NO₂, O₃, PM₂.₅, PM₁₀ and SO₂ concentrations were 0.83 mg/m³, 35.41 ug/m³, 63.34 ug/m³, 44.16 ug/m3, 73.46 ug/m³, 13.86 ug/m³, respectively. Air pollution in inland cities were worse than coastal cities. (2) A significant positive correlation between daytime UHII and O₃ concentration, and a negative correlation with other pollutants. (3) The influence of LST is the closest factors, followed by vegetation coverage, geographic location, elevation and economic development intensity on UHII and air pollution. |
| ArticleNumber | 107976 |
| Author | Wang, Yuanyuan Guo, Zhongyang Han, Ji |
| Author_xml | – sequence: 1 givenname: Yuanyuan surname: Wang fullname: Wang, Yuanyuan email: 20191009@sxufe.edu.cn organization: School of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, China – sequence: 2 givenname: Zhongyang surname: Guo fullname: Guo, Zhongyang email: zyguo@geo.ecnu.edu.cn organization: Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China – sequence: 3 givenname: Ji surname: Han fullname: Han, Ji email: jhan@re.ecnu.edu.cn organization: Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China |
| BookMark | eNqFkU9rFDEYxgepYFv9CEKOHpw1mclkZvAgsvVPoSBIBT2Fd5I3O1myyZpkW_TmNze7Uzx46SEkPHmeJ-T9XVRnPnisqpeMrhhl4s12hSo46_WqoQ0rWj_24kl1zoa-qXva8rNy5j2tmaDfn1UXKW1pyY2jOK_-3M5IIjrINvg02z2ZMN8jenKIE3gyI2RikwOvyWnZSPbBuUMGn9NJyjPuyL3NM7HeuAN6Zf2GGFA5xFS0o4H8AL_Jv5F8tXcYyRW6DK_JerYenldPDbiELx72y-rbxw-368_1zZdP1-v3N7XiXZdrzjUMwwSAXceMMC2nlALXE2PNhGCoooMyKDgFo_u2HXk3KD4qAFFum7G9rK6XXh1gK_fR7iD-kgGsPAkhbiTEbJVDKVqgXIhJYz_wpmsGNlA9tppNTJu-H0rXq6VrH8PPA6YsdzYpdGVMGA5JNqIVnHeUt8XaLVYVQ0oRzb-nGZVHfHIrH_DJIz654Cu5t__llM0nSjmCdY-m3y1pLBO9sxhlUraQQW0jqly-bB9p-Av3Qr1Y |
| CitedBy_id | crossref_primary_10_1016_j_scs_2024_105309 crossref_primary_10_3390_ijerph192013067 crossref_primary_10_1016_j_uclim_2023_101470 crossref_primary_10_3390_atmos13010119 crossref_primary_10_1016_j_apr_2025_102464 crossref_primary_10_1080_15481603_2022_2100100 crossref_primary_10_1016_j_jclepro_2024_142980 crossref_primary_10_1007_s11356_023_26636_8 crossref_primary_10_1038_s41598_022_26047_8 crossref_primary_10_3389_fenvs_2023_1247046 crossref_primary_10_47386_2023V1N3A1 crossref_primary_10_1016_j_envc_2025_101120 crossref_primary_10_1016_j_scs_2024_105346 crossref_primary_10_1029_2023JD039591 crossref_primary_10_3390_atmos15121443 crossref_primary_10_1016_j_rsase_2024_101232 crossref_primary_10_1016_j_scs_2022_104339 crossref_primary_10_3390_en18061474 crossref_primary_10_1109_JSTARS_2023_3314970 crossref_primary_10_1016_j_ecoenv_2023_114960 crossref_primary_10_1016_j_rsase_2024_101219 crossref_primary_10_1016_j_eiar_2022_106840 crossref_primary_10_1016_j_envpol_2025_126025 crossref_primary_10_1016_j_ufug_2025_128693 crossref_primary_10_1007_s41742_023_00525_x crossref_primary_10_3724_j_fjyl_202309250440 crossref_primary_10_1007_s00484_025_02894_8 crossref_primary_10_1007_s12517_022_10854_4 crossref_primary_10_1007_s41742_024_00716_0 crossref_primary_10_3390_atmos14040638 crossref_primary_10_1016_j_uclim_2022_101354 crossref_primary_10_1016_j_uclim_2023_101729 crossref_primary_10_1016_j_uclim_2022_101153 crossref_primary_10_1061_JAEIED_AEENG_1784 crossref_primary_10_1007_s11356_024_33255_4 crossref_primary_10_1007_s43621_025_00860_3 crossref_primary_10_1016_j_jag_2023_103508 crossref_primary_10_1016_j_scs_2023_105117 crossref_primary_10_1016_j_scitotenv_2023_167054 crossref_primary_10_3390_atmos13060879 crossref_primary_10_1016_j_cacint_2024_100156 crossref_primary_10_1016_j_rsase_2024_101145 crossref_primary_10_1016_j_ecolind_2024_112873 crossref_primary_10_3390_su142013108 crossref_primary_10_1016_j_scs_2023_104677 crossref_primary_10_1016_j_scs_2023_104995 crossref_primary_10_1016_j_asr_2024_07_073 crossref_primary_10_1016_j_scs_2022_104279 crossref_primary_10_1016_j_scitotenv_2024_174176 crossref_primary_10_1016_j_asr_2024_06_031 crossref_primary_10_1007_s11366_023_09864_0 crossref_primary_10_1016_j_scs_2022_104150 crossref_primary_10_1016_j_rser_2023_113577 crossref_primary_10_1109_JSTARS_2024_3396167 crossref_primary_10_1016_j_enbuild_2023_113330 crossref_primary_10_1016_j_rsase_2023_101053 crossref_primary_10_1016_j_scs_2025_106257 crossref_primary_10_3389_fenvs_2022_1029445 crossref_primary_10_1016_j_scitotenv_2021_150331 crossref_primary_10_1016_j_apr_2024_102095 crossref_primary_10_3390_land13122143 crossref_primary_10_3389_fdata_2025_1546223 crossref_primary_10_1016_j_buildenv_2025_112821 crossref_primary_10_1016_j_uclim_2022_101258 crossref_primary_10_1016_j_buildenv_2022_108860 crossref_primary_10_1016_j_scitotenv_2022_159673 crossref_primary_10_3390_atmos15060633 crossref_primary_10_3390_ijgi13070228 crossref_primary_10_3390_rs15040921 crossref_primary_10_1016_j_jclepro_2022_133372 crossref_primary_10_1016_j_rsase_2024_101204 crossref_primary_10_1016_j_solcom_2025_100108 crossref_primary_10_1016_j_apgeog_2023_102952 |
| Cites_doi | 10.1016/j.scs.2017.02.018 10.17559/TV-20200503211912 10.1016/j.atmosenv.2019.01.028 10.1016/j.atmosenv.2019.116886 10.1021/acs.est.7b05669 10.1016/j.jhazmat.2020.123615 10.1016/j.atmosenv.2005.11.037 10.1111/j.1440-1843.2012.02213.x 10.1007/s13762-020-02763-4 10.1016/j.jclepro.2018.02.060 10.1007/s40572-017-0167-7 10.1016/j.envpol.2019.03.050 10.1007/s40572-017-0168-6 10.1016/j.scitotenv.2018.03.050 10.1016/j.rse.2013.03.008 10.1016/j.ecolind.2021.107533 10.1016/j.envpol.2015.06.038 10.1016/j.scitotenv.2016.07.012 10.1016/j.scitotenv.2020.141727 10.1016/j.scitotenv.2018.04.254 10.1016/j.ecolind.2016.12.045 10.1007/s00244-016-0290-8 10.1126/science.1092666 10.1021/es103866b 10.5194/acp-11-1621-2011 10.1016/j.scitotenv.2015.11.168 10.1021/acs.est.7b01194 10.1021/es400744g 10.1021/es2030438 10.1016/j.rse.2014.05.017 10.1016/j.ecolind.2019.105889 10.1016/j.jes.2019.02.031 10.1007/s13280-019-01164-3 10.1016/j.scitotenv.2017.06.229 10.4209/aaqr.2019.02.0100 |
| ContentType | Journal Article |
| Copyright | 2021 The Authors |
| Copyright_xml | – notice: 2021 The Authors |
| DBID | 6I. AAFTH AAYXX CITATION 7S9 L.6 DOA |
| DOI | 10.1016/j.ecolind.2021.107976 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef AGRICOLA AGRICOLA - Academic DOAJ Open Access Full Text |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Environmental Sciences |
| EISSN | 1872-7034 |
| ExternalDocumentID | oai_doaj_org_article_63a0466bde7842528180d93d1b1df778 10_1016_j_ecolind_2021_107976 S1470160X21006415 |
| GeographicLocations | China Yangtze River |
| GeographicLocations_xml | – name: Yangtze River – name: China |
| GroupedDBID | --K --M .~1 0R~ 0SF 1B1 1RT 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 6I. 7-5 71M 8P~ AABVA AACTN AAEDT AAEDW AAFTH AAFWJ AAIAV AAIKJ AAKOC AALCJ AALRI AAOAW AAQFI AAQXK AATLK AAXUO ABFNM ABFYP ABGRD ABJNI ABLST ABMAC ABXDB ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE ADMUD ADQTV AEBSH AEKER AENEX AEQOU AFKWA AFPKN AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AIEXJ AIKHN AITUG AJBFU AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ASPBG AVWKF AXJTR AZFZN BKOJK BLECG BLXMC CBWCG CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GROUPED_DOAJ HVGLF HZ~ IHE J1W KCYFY KOM M41 MO0 N9A O-L O9- OAUVE OK1 OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SES SEW SPCBC SSA SSJ SSZ T5K ~02 ~G- AAHBH AATTM AAXKI AAYWO AAYXX ABWVN ACRPL ACVFH ADCNI ADNMO ADVLN AEIPS AEUPX AFJKZ AFPUW AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP BNPGV CITATION SSH 7S9 L.6 EFKBS |
| ID | FETCH-LOGICAL-c455t-44da88baae551f6f34000a4db112beaf0c08cfe640afd7339458c49caa6eaf293 |
| IEDL.DBID | DOA |
| ISSN | 1470-160X |
| IngestDate | Wed Aug 27 01:31:21 EDT 2025 Fri Jul 11 08:50:01 EDT 2025 Thu Apr 24 23:04:28 EDT 2025 Tue Jul 01 01:32:47 EDT 2025 Fri Feb 23 02:43:09 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | O3 SUHI YRD AUHI CO LST DEM NDVI Economic development MODIS Urban heat island NO2 GDP UHII PM2.5 SO2 UHI PM10 Air pollution Region difference |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c455t-44da88baae551f6f34000a4db112beaf0c08cfe640afd7339458c49caa6eaf293 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://doaj.org/article/63a0466bde7842528180d93d1b1df778 |
| PQID | 2636445043 |
| PQPubID | 24069 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_63a0466bde7842528180d93d1b1df778 proquest_miscellaneous_2636445043 crossref_primary_10_1016_j_ecolind_2021_107976 crossref_citationtrail_10_1016_j_ecolind_2021_107976 elsevier_sciencedirect_doi_10_1016_j_ecolind_2021_107976 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | October 2021 2021-10-00 20211001 2021-10-01 |
| PublicationDateYYYYMMDD | 2021-10-01 |
| PublicationDate_xml | – month: 10 year: 2021 text: October 2021 |
| PublicationDecade | 2020 |
| PublicationTitle | Ecological indicators |
| PublicationYear | 2021 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Bechle, Millet, Marshall (b0025) 2011; 45 Bechle, Millet, Marshall (b0020) 2017; 51 Zhou, Zhang, Hao, Sun, Liu, Zhu (b0185) 2016; 544 Orru, Ebi, Forsberg (b0105) 2017; 4 Nations United (b0095) 2018 Zhou, Zhao, Liu, Zhang, Zhu (b0190) 2014; 152 Han, Zhou, Li (b0045) 2015; 206 Li, Chen, Fu, Huang, Streets, Huang, Zhang, Wang, Jang, Wang, Chen, Fu (b0080) 2011; 11 Zhan, Luo, Deng, Zhang, Zhang, Grieneisen, Di (b0180) 2018; 52 Hankey, Marshall (b0050) 2017; 4 Peng, Piao, Ciais, Friedlingstein, Ottle, Bréon, Nan, Zhou, Myneni (b0110) 2012; 46 Li, An, Huang, Yan, Huang, Yarwood (b0075) 2019; 202 Wang, Yi, Zhou, Zhang, Bie, Li, Ji (b0160) 2021; 125 Wu, Wang, Wang, Riemer, Cao, Liu, Ma, Xie (b0165) 2019; 9 SARRAT, LEMONSU, MASSON, GUEDALIA (b0125) 2006; 40 E. Samoli A. Stergiopoulou P. Santana S. Rodopoulou C. Mitsakou C. Dimitroulopoulou M. Bauwelinck K. de Hoogh C. Costa M. Marí-Dell'Olmo D. Corman S. Vardoulakis K. Katsouyanni Spatial variability in air pollution exposure in relation to socioeconomic indicators in nine European metropolitan areas: A study on environmental inequality 249 2019 345 353 10.1016/j.envpol.2019.03.050. K. Van Ryswyk N. Prince M. Ahmed E. Brisson J.D. Miller P.J. Villeneuve Does urban vegetation reduce temperature and air pollution concentrations? Findings from an environmental monitoring study of the Central Experimental Farm in 218 2019 116886 10.1016/j.atmosenv.2019.116886. Du, Wang, Wang, Zhao, Qin, Jiang, Cai (b0040) 2016; 571 Singh, Kikon, Verma (b0140) 2017; 32 Sierra-Vargas, Teran (b0135) 2012; 17 Anderson, Atkinson, Peacock, Marston, Konstantinou (b0015) 2004 Li, Meier, Lee, Chakraborty, Liu, Schaap, Sodoudi (b0070) 2018; 636 Ma, Duan, He, Qin, Tong, Geng, Liu, Li, Yang, Ye, Xu, Zhang, Ma (b0090) 2019; 83 Akimoto (b0005) 2003; 302 Wu, Zheng, Zhe, Xie, Song (b0170) 2018; 182 Xu, Ren, Xiong, Li, Bi, Wu (b0175) 2020; 110 An, Shi, Wang, Zhu (b0010) 2016; 71 Ulpiani (b0145) 2021; 751 Sarla (b0120) 2020; 37 Hewitt, Ashworth, MacKenzie (b0055) 2020; 49 H. Huang X. Deng H. Yang S. Li M. Li Spatial evolution of the effects of urban heat island on residents’ health Teh. Vjesn. 27 2020 1427 1435 https://doi.org/10.17559/TV-20200503211912. Li, Zhou, Asrar, Imhoff, Li (b0085) 2017; 605–606 Chattopadhyay, Chattopadhyay (b0030) 2020; 17 She, Peng, Xu, Long, Wei, Liu, Han, Xiang, Peng, Jia, Zhou (b0130) 2017; 75 Lamsal, Martin, Parrish, Krotkov (b0065) 2013; 47 Y. Wang H. Du Y. Xu D. Lu X. Wang Z. Guo Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze River Delta 631-632 2018 921 933 10.1016/j.scitotenv.2018.03.050. Clinton, Gong (b0035) 2013; 134 Ngarambe, Joen, Han, Yun (b0100) 2021; 403 Sarla (10.1016/j.ecolind.2021.107976_b0120) 2020; 37 Ma (10.1016/j.ecolind.2021.107976_b0090) 2019; 83 Ulpiani (10.1016/j.ecolind.2021.107976_b0145) 2021; 751 10.1016/j.ecolind.2021.107976_b0115 Chattopadhyay (10.1016/j.ecolind.2021.107976_b0030) 2020; 17 10.1016/j.ecolind.2021.107976_b0155 Peng (10.1016/j.ecolind.2021.107976_b0110) 2012; 46 10.1016/j.ecolind.2021.107976_b0150 Xu (10.1016/j.ecolind.2021.107976_b0175) 2020; 110 Zhou (10.1016/j.ecolind.2021.107976_b0190) 2014; 152 An (10.1016/j.ecolind.2021.107976_b0010) 2016; 71 Lamsal (10.1016/j.ecolind.2021.107976_b0065) 2013; 47 Hewitt (10.1016/j.ecolind.2021.107976_b0055) 2020; 49 Sierra-Vargas (10.1016/j.ecolind.2021.107976_b0135) 2012; 17 SARRAT (10.1016/j.ecolind.2021.107976_b0125) 2006; 40 Wu (10.1016/j.ecolind.2021.107976_b0170) 2018; 182 Akimoto (10.1016/j.ecolind.2021.107976_b0005) 2003; 302 Clinton (10.1016/j.ecolind.2021.107976_b0035) 2013; 134 Anderson (10.1016/j.ecolind.2021.107976_b0015) 2004 Wu (10.1016/j.ecolind.2021.107976_b0165) 2019; 9 Li (10.1016/j.ecolind.2021.107976_b0080) 2011; 11 Li (10.1016/j.ecolind.2021.107976_b0075) 2019; 202 Han (10.1016/j.ecolind.2021.107976_b0045) 2015; 206 She (10.1016/j.ecolind.2021.107976_b0130) 2017; 75 Singh (10.1016/j.ecolind.2021.107976_b0140) 2017; 32 10.1016/j.ecolind.2021.107976_b0060 Zhou (10.1016/j.ecolind.2021.107976_b0185) 2016; 544 Hankey (10.1016/j.ecolind.2021.107976_b0050) 2017; 4 Bechle (10.1016/j.ecolind.2021.107976_b0020) 2017; 51 Ngarambe (10.1016/j.ecolind.2021.107976_b0100) 2021; 403 Bechle (10.1016/j.ecolind.2021.107976_b0025) 2011; 45 Nations United (10.1016/j.ecolind.2021.107976_b0095) 2018 Du (10.1016/j.ecolind.2021.107976_b0040) 2016; 571 Li (10.1016/j.ecolind.2021.107976_b0070) 2018; 636 Orru (10.1016/j.ecolind.2021.107976_b0105) 2017; 4 Wang (10.1016/j.ecolind.2021.107976_b0160) 2021; 125 Li (10.1016/j.ecolind.2021.107976_b0085) 2017; 605–606 Zhan (10.1016/j.ecolind.2021.107976_b0180) 2018; 52 |
| References_xml | – volume: 47 start-page: 7855 year: 2013 end-page: 7861 ident: b0065 article-title: Scaling relationship for NO2 pollution and urban population size: A satellite perspective publication-title: Environ. Sci. Technol. – start-page: 1 year: 2004 end-page: 68 ident: b0015 article-title: Meta-analysis of time-series studies and panel studies of particulate matter (PM) and ozone (O3) publication-title: Rep. a WHO Task Gr. – volume: 17 start-page: 4353 year: 2020 end-page: 4358 ident: b0030 article-title: Spectral analysis approach to study the association between total ozone concentration and surface temperature publication-title: Int. J. Environ. Sci. Technol. – year: 2018 ident: b0095 article-title: World Urbanization Prospects publication-title: Demographic Research – volume: 49 start-page: 62 year: 2020 end-page: 73 ident: b0055 article-title: Using green infrastructure to improve urban air quality (GI4AQ) publication-title: Ambio – volume: 46 start-page: 696 year: 2012 end-page: 703 ident: b0110 article-title: Surface Urban Heat Island Across 419 Global Big Cities publication-title: Environ. Sci. Technol. – volume: 32 start-page: 100 year: 2017 end-page: 114 ident: b0140 article-title: Impact of land use change and urbanization on urban heat island in Lucknow city, Central India. A remote sensing based estimate publication-title: Sustain. Cities Soc. – volume: 11 start-page: 1621 year: 2011 end-page: 1639 ident: b0080 article-title: Air quality and emissions in the Yangtze River Delta publication-title: China. Atmos. Chem. Phys. – reference: K. Van Ryswyk N. Prince M. Ahmed E. Brisson J.D. Miller P.J. Villeneuve Does urban vegetation reduce temperature and air pollution concentrations? Findings from an environmental monitoring study of the Central Experimental Farm in 218 2019 116886 10.1016/j.atmosenv.2019.116886. – volume: 544 start-page: 617 year: 2016 end-page: 626 ident: b0185 article-title: Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China publication-title: Sci. Total Environ. – reference: E. Samoli A. Stergiopoulou P. Santana S. Rodopoulou C. Mitsakou C. Dimitroulopoulou M. Bauwelinck K. de Hoogh C. Costa M. Marí-Dell'Olmo D. Corman S. Vardoulakis K. Katsouyanni Spatial variability in air pollution exposure in relation to socioeconomic indicators in nine European metropolitan areas: A study on environmental inequality 249 2019 345 353 10.1016/j.envpol.2019.03.050. – volume: 9 start-page: 2683 year: 2019 end-page: 2696 ident: b0165 article-title: Relieved air pollution enhanced urban heat island intensity in the Yangtze river delta publication-title: China. Aerosol Air Qual. Res. – volume: 17 start-page: 1031 year: 2012 end-page: 1038 ident: b0135 article-title: Air pollution: Impact and prevention publication-title: Respirology – volume: 4 start-page: 491 year: 2017 end-page: 503 ident: b0050 article-title: Urban Form, Air Pollution, and Health publication-title: Curr. Environ. Heal. reports – volume: 4 start-page: 504 year: 2017 end-page: 513 ident: b0105 article-title: The Interplay of Climate Change and Air Pollution on Health publication-title: Curr. Environ. Heal. reports – volume: 636 start-page: 818 year: 2018 end-page: 828 ident: b0070 article-title: Interaction between urban heat island and urban pollution island during summer in Berlin publication-title: Sci. Total Environ. – volume: 45 start-page: 4914 year: 2011 end-page: 4919 ident: b0025 article-title: Effects of income and urban form on urban NO2: Global evidence from satellites publication-title: Environ. Sci. Technol. – volume: 751 start-page: 141727 year: 2021 ident: b0145 article-title: On the linkage between urban heat island and urban pollution island: Three-decade literature review towards a conceptual framework publication-title: Sci. Total Environ. – volume: 52 start-page: 4180 year: 2018 end-page: 4189 ident: b0180 article-title: Satellite-Based Estimates of Daily NO2 Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model publication-title: Environ. Sci. Technol. – volume: 571 start-page: 461 year: 2016 end-page: 470 ident: b0040 article-title: Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration publication-title: Sci. Total Environ. – volume: 75 start-page: 297 year: 2017 end-page: 306 ident: b0130 article-title: Air quality and its response to satellite-derived urban form in the Yangtze River Delta publication-title: China. Ecol. Indic. – volume: 152 start-page: 51 year: 2014 end-page: 61 ident: b0190 article-title: Surface urban heat island in China’s 32 major cities: Spatial patterns and drivers publication-title: Remote Sens. Environ. – volume: 40 start-page: 1743 year: 2006 end-page: 1758 ident: b0125 article-title: Impact of urban heat island on regional atmospheric pollution publication-title: Atmos. Environ. – volume: 37 start-page: 33 year: 2020 end-page: 38 ident: b0120 publication-title: Air pollution : Health effects Contaminación del aire : efectos sobre la salud Key words – volume: 83 start-page: 8 year: 2019 end-page: 20 ident: b0090 article-title: Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016 publication-title: J. Environ. Sci. (China) – volume: 71 start-page: 224 year: 2016 end-page: 234 ident: b0010 article-title: Temporal Variations of O3 and NOx in the Urban Background Atmosphere of Nanjing, East China publication-title: Arch. Environ. Contam. Toxicol. – volume: 51 start-page: 12707 year: 2017 end-page: 12716 ident: b0020 article-title: Does urban form affect urban NO2? Satellite-based evidence for more than 1200 cities publication-title: Environ. Sci. Technol. – volume: 125 start-page: 107533 year: 2021 ident: b0160 article-title: Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017 publication-title: Ecol. Indic. – volume: 403 start-page: 123615 year: 2021 ident: b0100 article-title: Exploring the relationship between particulate matter, CO, SO2, NO2, O3 and urban heat island in Seoul publication-title: Korea. J. Hazard. Mater. – volume: 134 start-page: 294 year: 2013 end-page: 304 ident: b0035 article-title: MODIS detected surface urban heat islands and sinks: Global locations and controls publication-title: Remote Sens. Environ. – volume: 302 start-page: 1716 year: 2003 end-page: 1719 ident: b0005 article-title: Global Air Quality and Pollution publication-title: Science – volume: 605–606 start-page: 426 year: 2017 end-page: 435 ident: b0085 article-title: The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States publication-title: Sci. Total Environ. – volume: 206 start-page: 183 year: 2015 end-page: 187 ident: b0045 article-title: City as a major source area of fine particulate (PM2.5) in China publication-title: Environ. Pollut. – volume: 202 start-page: 269 year: 2019 end-page: 280 ident: b0075 article-title: Ozone source apportionment over the Yangtze River Delta region, China: Investigation of regional transport, sectoral contributions and seasonal differences publication-title: Atmos. Environ. – volume: 110 start-page: 105889 year: 2020 ident: b0175 article-title: Analysis of the driving factors of PM2.5 concentration in the air: A case study of the Yangtze River Delta publication-title: China. Ecol. Indic. – volume: 182 start-page: 872 year: 2018 end-page: 882 ident: b0170 article-title: Study on the relationship between urbanization and fine particulate matter (PM2.5) concentration and its implication in China publication-title: J. Clean. Prod. – reference: Y. Wang H. Du Y. Xu D. Lu X. Wang Z. Guo Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze River Delta 631-632 2018 921 933 10.1016/j.scitotenv.2018.03.050. – reference: H. Huang X. Deng H. Yang S. Li M. Li Spatial evolution of the effects of urban heat island on residents’ health Teh. Vjesn. 27 2020 1427 1435 https://doi.org/10.17559/TV-20200503211912. – volume: 32 start-page: 100 year: 2017 ident: 10.1016/j.ecolind.2021.107976_b0140 article-title: Impact of land use change and urbanization on urban heat island in Lucknow city, Central India. A remote sensing based estimate publication-title: Sustain. Cities Soc. doi: 10.1016/j.scs.2017.02.018 – ident: 10.1016/j.ecolind.2021.107976_b0060 doi: 10.17559/TV-20200503211912 – volume: 202 start-page: 269 year: 2019 ident: 10.1016/j.ecolind.2021.107976_b0075 article-title: Ozone source apportionment over the Yangtze River Delta region, China: Investigation of regional transport, sectoral contributions and seasonal differences publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2019.01.028 – volume: 37 start-page: 33 year: 2020 ident: 10.1016/j.ecolind.2021.107976_b0120 publication-title: Air pollution : Health effects Contaminación del aire : efectos sobre la salud Key words – ident: 10.1016/j.ecolind.2021.107976_b0150 doi: 10.1016/j.atmosenv.2019.116886 – volume: 52 start-page: 4180 issue: 7 year: 2018 ident: 10.1016/j.ecolind.2021.107976_b0180 article-title: Satellite-Based Estimates of Daily NO2 Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.7b05669 – volume: 403 start-page: 123615 year: 2021 ident: 10.1016/j.ecolind.2021.107976_b0100 article-title: Exploring the relationship between particulate matter, CO, SO2, NO2, O3 and urban heat island in Seoul publication-title: Korea. J. Hazard. Mater. doi: 10.1016/j.jhazmat.2020.123615 – volume: 40 start-page: 1743 issue: 10 year: 2006 ident: 10.1016/j.ecolind.2021.107976_b0125 article-title: Impact of urban heat island on regional atmospheric pollution publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2005.11.037 – volume: 17 start-page: 1031 year: 2012 ident: 10.1016/j.ecolind.2021.107976_b0135 article-title: Air pollution: Impact and prevention publication-title: Respirology doi: 10.1111/j.1440-1843.2012.02213.x – volume: 17 start-page: 4353 issue: 10 year: 2020 ident: 10.1016/j.ecolind.2021.107976_b0030 article-title: Spectral analysis approach to study the association between total ozone concentration and surface temperature publication-title: Int. J. Environ. Sci. Technol. doi: 10.1007/s13762-020-02763-4 – volume: 182 start-page: 872 year: 2018 ident: 10.1016/j.ecolind.2021.107976_b0170 article-title: Study on the relationship between urbanization and fine particulate matter (PM2.5) concentration and its implication in China publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.02.060 – volume: 4 start-page: 491 issue: 4 year: 2017 ident: 10.1016/j.ecolind.2021.107976_b0050 article-title: Urban Form, Air Pollution, and Health publication-title: Curr. Environ. Heal. reports doi: 10.1007/s40572-017-0167-7 – ident: 10.1016/j.ecolind.2021.107976_b0115 doi: 10.1016/j.envpol.2019.03.050 – volume: 4 start-page: 504 issue: 4 year: 2017 ident: 10.1016/j.ecolind.2021.107976_b0105 article-title: The Interplay of Climate Change and Air Pollution on Health publication-title: Curr. Environ. Heal. reports doi: 10.1007/s40572-017-0168-6 – ident: 10.1016/j.ecolind.2021.107976_b0155 doi: 10.1016/j.scitotenv.2018.03.050 – volume: 134 start-page: 294 year: 2013 ident: 10.1016/j.ecolind.2021.107976_b0035 article-title: MODIS detected surface urban heat islands and sinks: Global locations and controls publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2013.03.008 – volume: 125 start-page: 107533 year: 2021 ident: 10.1016/j.ecolind.2021.107976_b0160 article-title: Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017 publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2021.107533 – volume: 206 start-page: 183 year: 2015 ident: 10.1016/j.ecolind.2021.107976_b0045 article-title: City as a major source area of fine particulate (PM2.5) in China publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2015.06.038 – volume: 571 start-page: 461 year: 2016 ident: 10.1016/j.ecolind.2021.107976_b0040 article-title: Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2016.07.012 – year: 2018 ident: 10.1016/j.ecolind.2021.107976_b0095 article-title: World Urbanization Prospects publication-title: Demographic Research – volume: 751 start-page: 141727 year: 2021 ident: 10.1016/j.ecolind.2021.107976_b0145 article-title: On the linkage between urban heat island and urban pollution island: Three-decade literature review towards a conceptual framework publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2020.141727 – start-page: 1 year: 2004 ident: 10.1016/j.ecolind.2021.107976_b0015 article-title: Meta-analysis of time-series studies and panel studies of particulate matter (PM) and ozone (O3) publication-title: Rep. a WHO Task Gr. – volume: 636 start-page: 818 year: 2018 ident: 10.1016/j.ecolind.2021.107976_b0070 article-title: Interaction between urban heat island and urban pollution island during summer in Berlin publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.04.254 – volume: 75 start-page: 297 year: 2017 ident: 10.1016/j.ecolind.2021.107976_b0130 article-title: Air quality and its response to satellite-derived urban form in the Yangtze River Delta publication-title: China. Ecol. Indic. doi: 10.1016/j.ecolind.2016.12.045 – volume: 71 start-page: 224 issue: 2 year: 2016 ident: 10.1016/j.ecolind.2021.107976_b0010 article-title: Temporal Variations of O3 and NOx in the Urban Background Atmosphere of Nanjing, East China publication-title: Arch. Environ. Contam. Toxicol. doi: 10.1007/s00244-016-0290-8 – volume: 302 start-page: 1716 issue: 5651 year: 2003 ident: 10.1016/j.ecolind.2021.107976_b0005 article-title: Global Air Quality and Pollution publication-title: Science doi: 10.1126/science.1092666 – volume: 45 start-page: 4914 issue: 11 year: 2011 ident: 10.1016/j.ecolind.2021.107976_b0025 article-title: Effects of income and urban form on urban NO2: Global evidence from satellites publication-title: Environ. Sci. Technol. doi: 10.1021/es103866b – volume: 11 start-page: 1621 year: 2011 ident: 10.1016/j.ecolind.2021.107976_b0080 article-title: Air quality and emissions in the Yangtze River Delta publication-title: China. Atmos. Chem. Phys. doi: 10.5194/acp-11-1621-2011 – volume: 544 start-page: 617 year: 2016 ident: 10.1016/j.ecolind.2021.107976_b0185 article-title: Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2015.11.168 – volume: 51 start-page: 12707 issue: 21 year: 2017 ident: 10.1016/j.ecolind.2021.107976_b0020 article-title: Does urban form affect urban NO2? Satellite-based evidence for more than 1200 cities publication-title: Environ. Sci. Technol. doi: 10.1021/acs.est.7b01194 – volume: 47 start-page: 7855 issue: 14 year: 2013 ident: 10.1016/j.ecolind.2021.107976_b0065 article-title: Scaling relationship for NO2 pollution and urban population size: A satellite perspective publication-title: Environ. Sci. Technol. doi: 10.1021/es400744g – volume: 46 start-page: 696 issue: 2 year: 2012 ident: 10.1016/j.ecolind.2021.107976_b0110 article-title: Surface Urban Heat Island Across 419 Global Big Cities publication-title: Environ. Sci. Technol. doi: 10.1021/es2030438 – volume: 152 start-page: 51 year: 2014 ident: 10.1016/j.ecolind.2021.107976_b0190 article-title: Surface urban heat island in China’s 32 major cities: Spatial patterns and drivers publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.05.017 – volume: 110 start-page: 105889 year: 2020 ident: 10.1016/j.ecolind.2021.107976_b0175 article-title: Analysis of the driving factors of PM2.5 concentration in the air: A case study of the Yangtze River Delta publication-title: China. Ecol. Indic. doi: 10.1016/j.ecolind.2019.105889 – volume: 83 start-page: 8 year: 2019 ident: 10.1016/j.ecolind.2021.107976_b0090 article-title: Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016 publication-title: J. Environ. Sci. (China) doi: 10.1016/j.jes.2019.02.031 – volume: 49 start-page: 62 issue: 1 year: 2020 ident: 10.1016/j.ecolind.2021.107976_b0055 article-title: Using green infrastructure to improve urban air quality (GI4AQ) publication-title: Ambio doi: 10.1007/s13280-019-01164-3 – volume: 605–606 start-page: 426 year: 2017 ident: 10.1016/j.ecolind.2021.107976_b0085 article-title: The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2017.06.229 – volume: 9 start-page: 2683 issue: 12 year: 2019 ident: 10.1016/j.ecolind.2021.107976_b0165 article-title: Relieved air pollution enhanced urban heat island intensity in the Yangtze river delta publication-title: China. Aerosol Air Qual. Res. doi: 10.4209/aaqr.2019.02.0100 |
| SSID | ssj0016996 |
| Score | 2.574057 |
| Snippet | •There was a great spaito-temporal differences in UHI and air pollution in the YRD.•There was a positive correlation between surface UHI and O3 pollution in... The relationship between urban heat island (UHI) and air pollution is worth exploring. We used land surface temperature (LST) and air quality data investigated... |
| SourceID | doaj proquest crossref elsevier |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 107976 |
| SubjectTerms | air Air pollution air quality carbon monoxide China Economic development heat island humans nitrogen dioxide ozone Region difference regression analysis river deltas sulfur dioxide surface temperature Urban heat island vegetation Yangtze River |
| SummonAdditionalLinks | – databaseName: Elsevier SD Freedom Collection dbid: .~1 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELaqnrggXhXLS0biSHadtWMnRyitKiQ4AJWWk-VnSVVlV9nshUOl_nNmHGdLuVTikEMmjrOK5-XNN98Q8k5YyJMVGKCpLGxQLGdF47wvWHQSM4LoEk_Bl6_y7Fx8XlWrA3I81cIgrDL7_tGnJ2-dJYv8Nhebtl18L4VCerQVbFogrqZCcyEU8ufPr_cwj1I2zVhhpFiBo2-reBaXc9jhQTKHhKHLEmSqQeqRv-JTovG_E6b-cdgpCp0-Ig9z-kg_jL_wMTkI3RNydHJbrQYXs7lun5IbUALaT3C3X-2GZlgW3fXWdBQdMW23CG6k6Wh7usHex9haeJtESOpK8c9a2uZ2JhDraO7SAzIcQH-a7mL4Heg3BHnQT-FqMO9p6sz9jJyfnvw4Pityz4XCiaoaCiG8qWtrTIBUKsrIwcaZEd5CXmaDicyx2sUgBTPRK84bUdVONM4YCVchdzgih926C88JjSGy0FjF66WDCaxBCGjkvBLRRFOzGRHTm9YuE5JjX4wrPSHPLnVeII0LpMcFmpH5_rbNyMhx3w0fcRn3g5FQOwnW_YXOGqUlN0xIaX1Q-GESObKYb7gvbemjUvWM1JMS6Dv6CVO19z3_7aQ0GmwXP8iYLqx3W72UHNJR5JB78f_TvyQP8GwEGL4ih0O_C68hURrsm2QJfwACrROU priority: 102 providerName: Elsevier |
| Title | The relationship between urban heat island and air pollutants and them with influencing factors in the Yangtze River Delta, China |
| URI | https://dx.doi.org/10.1016/j.ecolind.2021.107976 https://www.proquest.com/docview/2636445043 https://doaj.org/article/63a0466bde7842528180d93d1b1df778 |
| Volume | 129 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVKe-GCCqVi27IyUo9k66wdJzkWaLVQtQdEpeVk-RNSVelqN3vhgNR_zozjtIXLXjjk4tiJ5ZnJvInHbwg5FgZwcgkGqAsDAYrhLKutcxkLViIiCDbyFFxeydm1-DIv5k9KfWFOWE8P3C_cieQaQjhpnC9xxwjJi5iructN7kJZxmO-4POGYCrtH8i67s8VlSzLJZs_nt05uZlAXAcQDmlCpzm0lTUSjjzxSpG8_y_n9M9nOvqe813yIoFGetpP9iXZ8u0rsn_2eEYNbiYjXe2RexA9XQ5Jbj-bBU3JWHS9NLql-PmlzQpTGmm8miVdYMVjLCi8ik1I5UrxFy1tUhET8HA01eaBNuxAv-v2R_fL06-Y2kE_-dtOv6exHvdrcn1-9u3jLEuVFjIriqLLhHC6qozWHgBUkIGDZTMtnAE0ZrwOzLLKBi8F08GVnNeiqKyordYS7gJi2Cfb7V3r3xAafGC-NiWvphYeYDQmfgbOCxF00BUbETGstLKJhhyrYdyqId_sRiUBKRSQ6gU0IpOHYYueh2PTgA8oxofOSKMdG0C5VFIutUm5RqQalEAlRNIjDXhUs-n97walUWCxuA2jW3-3Xqmp5ABCkTnu4H_M8ZA8x9f2CYZHZLtbrv1bAEqdGZNnk9_5mOycfr6YXY2jhfwB8oETog |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV05b9swFCaCZGiXoldQ90hZoGMV0yZFSWOaA87loU0AdyJ4JgoC2ZDlpVv_ed-TKOdYAmTw8ijShviOj-Z73yPkuzCAkzMwQJ0aOKAYzpLCOpewYCUigmBbnoLzqZxcipNZOtsg-30tDKZVRt_f-fTWW0fJML7N4aIsh79HIkN6tBkcWiCuYqH5FrJTgbJv7R2fTqbrywRZFF2RUcYSnHBXyDO82YVDHuA55Awdj0CWFcg-ci9EtUz-DyLVI5_dBqKj1-RVRJB0r_uRb8iGr96S7cO7gjUYjBa7fEf-gR7Qus94uy4XNGZm0VVtdEXRF9NyifmNtP2UNV1g-2PsLrxsRcjrSvH_WlrGjiYQ7mhs1AMyfID-0dVV89fTX5jnQQ_8baN_0LY593tyeXR4sT9JYtuFxIo0bRIhnM5zo7UHNBVk4GDmTAtnAJoZrwOzLLfBS8F0cBnnhUhzKwqrtYRRgA_bZLOaV_4DocEH5guT8XxsYQGjMQs0cJ6KoIPO2YCI_k0rGznJsTXGreqTz25U3CCFG6S6DRqQ3fW0RUfK8dSEn7iN64eRU7sVzOsrFZVKSa6ZkNI4n-HdJNJkMVdwNzIjF7IsH5C8VwL1QEVhqfKp7__WK40C88U7GV35-WqpxpIDIkUauY_PX_4reTG5OD9TZ8fT00_kJY50-YafyWZTr_wXwE2N2Yl28R8OVRfT |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+relationship+between+urban+heat+island+and+air+pollutants+and+them+with+influencing+factors+in+the+Yangtze+River+Delta%2C+China&rft.jtitle=Ecological+indicators&rft.au=Wang%2C+Yuanyuan&rft.au=Guo%2C+Zhongyang&rft.au=Han%2C+Ji&rft.date=2021-10-01&rft.issn=1470-160X&rft.volume=129+p.107976-&rft_id=info:doi/10.1016%2Fj.ecolind.2021.107976&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1470-160X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1470-160X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1470-160X&client=summon |