Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan
文献类型:期刊论文
作者 | Dilawar, Adil8,9; Chen, Baozhang7,8,9; Ul-Haq, Zia6; Ali, Shahbaz5,8; Sajjad, Meer Muhammad8,9; Junjun, Fang8,9; Gemechu, Twekel M.8,9; Guo, Man4; Dilawar, Hamza3; Zhang, Huifang8,9 |
刊名 | FRONTIERS IN ENVIRONMENTAL SCIENCE |
出版日期 | 2024-02-05 |
卷号 | 11页码:21 |
关键词 | land use and land cover change land change model atmospheric pollution climate change multiscale geographically weighted regression |
DOI | 10.3389/fenvs.2023.1272155 |
通讯作者 | Chen, Baozhang(baozhang.chen@igsnrr.ac.cn) |
英文摘要 | Evaluating the potential impacts of land use and land cover change (LULCC) and climate change on air pollution is crucial to unravel the driving forces and mechanisms behind changes in air quality. A multi-faceted approach was adopted, including a land change model (LCM) and Mann-Kendall (MK) test, to evaluate the transition of land cover type, changes in climate, and atmospheric pollutants during 2004-2021 in Pakistan. Moreover, a multiscale geographically weighted regression (MGWR) model and a mathematical model were used to assess the potential contribution of LULCC and climate dynamics to atmospheric pollution. It was revealed that during 2004, croplands covered an area of 9.72 x 104 mile2, accounting for 38% of the total area. However, the area of the croplands increased to 10.1 x 104 mile2, accounting for 40% of the total area in 2021. The MK test showed that the north and west-south regions significantly experienced air pollution, with the increasing trend for nitrogen dioxide (NO2) and sulfur dioxide (SO2) being 0.89x 1015 molecules/cm2 per year and 0.54 DU/year, respectively. For climate variability, mean precipitation (Precp) and mean surface pressure (SP) showed a prominent increasing trend, with a maximum value of 1 mm/year and 0.01 Kpa/year, respectively. The mean temperature maximum (Tmax) showed an increasing and decreasing trend, with the highest value of 0.28 degrees C/year and 0.08 degrees C/year, respectively. In the context of contribution, the conversion of cropland to grasslands increased the trend for SO2 concentrations. The highest increasing trend of 1.5 DU for ozone (O3) was found due to conversion of grasslands to shrublands. Additionally, regional climate played a significant role in making air pollution stagnant across the country. Precp and wind speed (WS) contributed significantly in escalating NO2 concentrations in Pakistan, while Precp contributed most (0.004 DU) to increasing SO2 concentrations. For O3, the most influential climate factor was Precp. These results on a long-term temporal scale demonstrated how maintaining climate variability through comprehensive land use management can help improve ambient air quality in Pakistan. |
WOS关键词 | ENVIRONMENTAL KUZNETS CURVE ; AIR-QUALITY ; IMPACTS ; RESPONSES ; TRENDS ; CHINA ; VARIABILITY ; ENERGY ; PM2.5 ; MODEL |
资助项目 | National Natural Science Foundation of China[41771114] ; Innovation Project of LREIS[KPI005] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | FRONTIERS MEDIA SA |
WOS记录号 | WOS:001163441400001 |
资助机构 | National Natural Science Foundation of China ; Innovation Project of LREIS |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/203037] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Chen, Baozhang |
作者单位 | 1.Univ Chinese Acad Sci UCAS, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Auburn Univ, Fac Agr Sci, Sch Fisheries Aquaculture & Aquat Sci, Auburn, AL USA 4.Univ Nottingham, Fac Sci & Engn, Sch Geog Sci, Ningbo, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 6.Univ Punjab, Nat Ctr GIS & Space Applicat, Ctr Remote Sensing, Remote Sensing GIS & Climat Res Lab, Lahore, Pakistan 7.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 8.Univ Chinese Acad Sci UCAS, Coll Resources & Environm, Beijing, Peoples R China 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Dilawar, Adil,Chen, Baozhang,Ul-Haq, Zia,et al. Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2024,11:21. |
APA | Dilawar, Adil.,Chen, Baozhang.,Ul-Haq, Zia.,Ali, Shahbaz.,Sajjad, Meer Muhammad.,...&Lohdi, Ehtisham.(2024).Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan.FRONTIERS IN ENVIRONMENTAL SCIENCE,11,21. |
MLA | Dilawar, Adil,et al."Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan".FRONTIERS IN ENVIRONMENTAL SCIENCE 11(2024):21. |
入库方式: OAI收割
来源:地理科学与资源研究所
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