TY - JOUR
T1 - Response of PM2.5 pollution to land use in China
AU - Lu, Debin
AU - Xu, Jianhua
AU - Yue, Wenze
AU - Mao, Wanliu
AU - Yang, Dongyang
AU - Wang, Jinzhu
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/1/20
Y1 - 2020/1/20
N2 - As the spatial carrier of the emission sources and influencing factors of PM2.5, land use and its changes can inevitably affect local and regional PM2.5 concentrations. The relationship between the growth of PM2.5 and the changes of land use in China during 1998-2015 was explored in this paper using the Theil-Sen median trend analysis, Mann-Kendall and spatial econometric model. The results showed that the area where PM2.5 concentration was less than 10 μg/m3 accounted for a small portion (18.33%) of the land area in China, and the area where PM2.5 concentration was more than 35 μg/m3 accounted for 31.30% of the land area. High PM2.5 concentration was found in the East China Plain and Taklimakan desert; artificial surfaces, cultivated land and deserts were coated with high PM2.5 concentration more frequently, while the forest, grassland and unused land were usually covered with low PM2.5 concentration. PM2.5 concentration in desert land and artificial surfaces respectively increased at a pace of 1.07 μg/m3 and 0.80 μg/m3 per year during 1998–2015, higher than those in other land use types. They mainly came from the sand dust aerosol in northwest China, while those in the other areas mainly came from emissions in the human activities. Therefore, reasonable coordinating the proportion of construction land, cultivated land, forest land and grassland in eastern China, and strengthening desert governance in northwest China, are suggested to reduce PM2.5 concentration in China.
AB - As the spatial carrier of the emission sources and influencing factors of PM2.5, land use and its changes can inevitably affect local and regional PM2.5 concentrations. The relationship between the growth of PM2.5 and the changes of land use in China during 1998-2015 was explored in this paper using the Theil-Sen median trend analysis, Mann-Kendall and spatial econometric model. The results showed that the area where PM2.5 concentration was less than 10 μg/m3 accounted for a small portion (18.33%) of the land area in China, and the area where PM2.5 concentration was more than 35 μg/m3 accounted for 31.30% of the land area. High PM2.5 concentration was found in the East China Plain and Taklimakan desert; artificial surfaces, cultivated land and deserts were coated with high PM2.5 concentration more frequently, while the forest, grassland and unused land were usually covered with low PM2.5 concentration. PM2.5 concentration in desert land and artificial surfaces respectively increased at a pace of 1.07 μg/m3 and 0.80 μg/m3 per year during 1998–2015, higher than those in other land use types. They mainly came from the sand dust aerosol in northwest China, while those in the other areas mainly came from emissions in the human activities. Therefore, reasonable coordinating the proportion of construction land, cultivated land, forest land and grassland in eastern China, and strengthening desert governance in northwest China, are suggested to reduce PM2.5 concentration in China.
KW - Land use
KW - Particulate matter (PM)
KW - Spatial econometric model
UR - https://www.scopus.com/pages/publications/85073146205
U2 - 10.1016/j.jclepro.2019.118741
DO - 10.1016/j.jclepro.2019.118741
M3 - 文章
AN - SCOPUS:85073146205
SN - 0959-6526
VL - 244
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 118741
ER -
