Arshad Abbasi , Chunsheng Fang , Ju Wang , Usman Basharat
{"title":"分析巴基斯坦东北部拉合尔地区土地利用和土地覆盖变化对当地气象条件和PM2.5浓度的影响","authors":"Arshad Abbasi , Chunsheng Fang , Ju Wang , Usman Basharat","doi":"10.1016/j.uclim.2025.102547","DOIUrl":null,"url":null,"abstract":"<div><div>Variations in land use and land cover (LULC) significantly affect the surface energy balance, influencing regional meteorological patterns and air quality. Despite its importance, the extent of this impact has not been thoroughly examined in Lahore, a major urban center in the historically industrial region of Northeastern Pakistan. In this study, based on the WRF-CMAQ model, the LULC2022 (LULC data in 2022) and LULC2010 (LULC data in 2010) scenarios were simulated for January and June 2022 to assess the impact of LULC changes on meteorology and PM<sub>2.5</sub> concentrations in Lahore. Simulations conducted for January and June 2022 revealed elevated daytime sensible heat flux in the urban expansion area (UEA), with maximum values of 153 W/m<sup>2</sup> and 161 W/m<sup>2</sup>. The latent heat flux declines during the daytime, with maximum values recorded at 22.82 W/m<sup>2</sup> and 180.73 W/m<sup>2</sup>, respectively. As a result, the 2 m temperature (T2) increased by 4 °C and 3 °C, respectively, and the 10 m wind speed (WS10) increased by 1.06 m/s and 1.60 m/s, respectively. The planetary boundary layer height (PBLH) reached 100 m and 116 m, respectively.</div><div>These changes in meteorological conditions may significantly influence the spatial distribution of air pollutants. Within the UEA, PM₂.₅ concentrations exhibited reductions of 35 μg/m<sup>3</sup> and 20 μg/m<sup>3</sup> during January and June. The variation in SO2–4 concentrations contributed approximately 25 % to the total PM₂.₅ change, with a decline of 5–6 μg/m<sup>3</sup> observed during nighttime in January. Additionally, secondary organic aerosol (SOA) derived from biogenic volatile organic compound (BVOC) precursors (BSOA) showed a slight decrease in cropland areas predominantly covered by green vegetation. Meanwhile, PM₂.₅ around the UEA increased notably in January. CMAQ model analysis reveals that this spatial variability of PM<sub>2.5</sub> is mainly influenced by enhanced transport and diffusion processes occurring in both horizontal and vertical dimensions across the UEA. In January, vertical advection (ZADV) and horizontal advection (HADV) contributed negatively to PM<sub>2.5</sub> levels in the UEA, increasing concentrations by 25 μg/m<sup>3</sup> and 40 μg/m<sup>3</sup>, respectively. In June, the adverse impacts of Vertical diffusion (VDIF) and horizontal advection (HADV) on PM<sub>2.5</sub> were more significant during nighttime, with respective increases of 40 μg/m<sup>3</sup> and 31 μg/m<sup>3</sup> in the UEA.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"62 ","pages":"Article 102547"},"PeriodicalIF":6.9000,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing the impact of land use and land cover changes on local meteorological conditions and PM2.5 concentrations in Lahore, northeastern Pakistan\",\"authors\":\"Arshad Abbasi , Chunsheng Fang , Ju Wang , Usman Basharat\",\"doi\":\"10.1016/j.uclim.2025.102547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Variations in land use and land cover (LULC) significantly affect the surface energy balance, influencing regional meteorological patterns and air quality. Despite its importance, the extent of this impact has not been thoroughly examined in Lahore, a major urban center in the historically industrial region of Northeastern Pakistan. In this study, based on the WRF-CMAQ model, the LULC2022 (LULC data in 2022) and LULC2010 (LULC data in 2010) scenarios were simulated for January and June 2022 to assess the impact of LULC changes on meteorology and PM<sub>2.5</sub> concentrations in Lahore. Simulations conducted for January and June 2022 revealed elevated daytime sensible heat flux in the urban expansion area (UEA), with maximum values of 153 W/m<sup>2</sup> and 161 W/m<sup>2</sup>. The latent heat flux declines during the daytime, with maximum values recorded at 22.82 W/m<sup>2</sup> and 180.73 W/m<sup>2</sup>, respectively. As a result, the 2 m temperature (T2) increased by 4 °C and 3 °C, respectively, and the 10 m wind speed (WS10) increased by 1.06 m/s and 1.60 m/s, respectively. The planetary boundary layer height (PBLH) reached 100 m and 116 m, respectively.</div><div>These changes in meteorological conditions may significantly influence the spatial distribution of air pollutants. Within the UEA, PM₂.₅ concentrations exhibited reductions of 35 μg/m<sup>3</sup> and 20 μg/m<sup>3</sup> during January and June. The variation in SO2–4 concentrations contributed approximately 25 % to the total PM₂.₅ change, with a decline of 5–6 μg/m<sup>3</sup> observed during nighttime in January. Additionally, secondary organic aerosol (SOA) derived from biogenic volatile organic compound (BVOC) precursors (BSOA) showed a slight decrease in cropland areas predominantly covered by green vegetation. Meanwhile, PM₂.₅ around the UEA increased notably in January. CMAQ model analysis reveals that this spatial variability of PM<sub>2.5</sub> is mainly influenced by enhanced transport and diffusion processes occurring in both horizontal and vertical dimensions across the UEA. In January, vertical advection (ZADV) and horizontal advection (HADV) contributed negatively to PM<sub>2.5</sub> levels in the UEA, increasing concentrations by 25 μg/m<sup>3</sup> and 40 μg/m<sup>3</sup>, respectively. In June, the adverse impacts of Vertical diffusion (VDIF) and horizontal advection (HADV) on PM<sub>2.5</sub> were more significant during nighttime, with respective increases of 40 μg/m<sup>3</sup> and 31 μg/m<sup>3</sup> in the UEA.</div></div>\",\"PeriodicalId\":48626,\"journal\":{\"name\":\"Urban Climate\",\"volume\":\"62 \",\"pages\":\"Article 102547\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Climate\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212095525002639\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212095525002639","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Analyzing the impact of land use and land cover changes on local meteorological conditions and PM2.5 concentrations in Lahore, northeastern Pakistan
Variations in land use and land cover (LULC) significantly affect the surface energy balance, influencing regional meteorological patterns and air quality. Despite its importance, the extent of this impact has not been thoroughly examined in Lahore, a major urban center in the historically industrial region of Northeastern Pakistan. In this study, based on the WRF-CMAQ model, the LULC2022 (LULC data in 2022) and LULC2010 (LULC data in 2010) scenarios were simulated for January and June 2022 to assess the impact of LULC changes on meteorology and PM2.5 concentrations in Lahore. Simulations conducted for January and June 2022 revealed elevated daytime sensible heat flux in the urban expansion area (UEA), with maximum values of 153 W/m2 and 161 W/m2. The latent heat flux declines during the daytime, with maximum values recorded at 22.82 W/m2 and 180.73 W/m2, respectively. As a result, the 2 m temperature (T2) increased by 4 °C and 3 °C, respectively, and the 10 m wind speed (WS10) increased by 1.06 m/s and 1.60 m/s, respectively. The planetary boundary layer height (PBLH) reached 100 m and 116 m, respectively.
These changes in meteorological conditions may significantly influence the spatial distribution of air pollutants. Within the UEA, PM₂.₅ concentrations exhibited reductions of 35 μg/m3 and 20 μg/m3 during January and June. The variation in SO2–4 concentrations contributed approximately 25 % to the total PM₂.₅ change, with a decline of 5–6 μg/m3 observed during nighttime in January. Additionally, secondary organic aerosol (SOA) derived from biogenic volatile organic compound (BVOC) precursors (BSOA) showed a slight decrease in cropland areas predominantly covered by green vegetation. Meanwhile, PM₂.₅ around the UEA increased notably in January. CMAQ model analysis reveals that this spatial variability of PM2.5 is mainly influenced by enhanced transport and diffusion processes occurring in both horizontal and vertical dimensions across the UEA. In January, vertical advection (ZADV) and horizontal advection (HADV) contributed negatively to PM2.5 levels in the UEA, increasing concentrations by 25 μg/m3 and 40 μg/m3, respectively. In June, the adverse impacts of Vertical diffusion (VDIF) and horizontal advection (HADV) on PM2.5 were more significant during nighttime, with respective increases of 40 μg/m3 and 31 μg/m3 in the UEA.
期刊介绍:
Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following:
Urban meteorology and climate[...]
Urban environmental pollution[...]
Adaptation to global change[...]
Urban economic and social issues[...]
Research Approaches[...]