摘要
As the main form of new urbanization in China,urban agglomerations are an important platform to support national economic growth,promote coordinated regional development,and participate in international competition and cooperation.However,they have become core areas for air pollution.This study used PM_(2.5)data from NASA atmospheric remote sensing image inversion from 2000 to 2015 and spatial analysis including a spatial Durbin model to reveal the spatio-temporal evolution characteristics and main factors controlling PM_(2.5)in China's urban agglomerations.The main conclusions are as follows:(1)From 2000 to 2015,the PM_(2.5)concentrations of China's urban agglomerations showed a growing trend with some volatility.In 2007,there was an inflection point.The number of low-concentration cities decreased,while the number of high-concentration cities increased.(2)The concentrations of PM_(2.5)in urban agglomerations were high in the west and low in the east,with the"Hu Line"as the boundary.The spatial differences were significant and increasing.The concentration of PM_(2.5)grew faster in urban agglomerations in the eastern and northeastern regions.(3)The urban agglomeration of PM_(2.5)had significant spatial concentrations.The hot spots were concentrated to the east of the Hu Line,and the number of hot-spot cities continued to rise.The cold spots were concentrated to the west of the Hu Line,and the number of cold-spot cities continued to decline.(4)There was a significant spatial spillover effect of PM_(2.5)pollution among cities within urban agglomerations.The main factors controlling PM_(2.5)pollution in different urban agglomerations had significant differences.Industrialization and energy consumption had a significant positive impact on PM_(2.5)pollution.Foreign direct investment had a significant negative impact on PM_(2.5)pollution in the southeast coastal and border urban agglomerations.Population density had a significant positive impact on PM_(2.5)pollution in a particular region,but this had the opposite effect in neighboring areas.Urbanization rate had a negative impact on PM_(2.5)pollution in national-level urban agglomerations,but this had the opposite effect in regional and local urban agglomerations.A high degree of industrial structure had a significant negative impact on PM_(2.5)pollution in a region,but this had an opposite effect in neighboring regions.Technical support level had a significant impact on PM_(2.5)pollution,but there were lag effects and rebound effects.
作者
WANG Zhenbo
LIANG Longwu
WANG Xujing
王振波;梁龙武;王旭静(Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;College of Geographical Science,Shanxi Normal University,Linfen 041004,Shanxi,China)
基金
National Natural Science Foundation of China,No.41771181
National Key Research and Development Plan,No.2017YFC0505702
Open Fund Project of New Urbanization Research Institute of Tsinghua University,No.TUCSU-K-17015-01。
