Non-Linear Response of PM2.5 Pollution to Land Use Change in China
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Wanliu Mao | Debin Lu | Wu Xiao | Liang Zhang | Debin Lu | Wanliu Mao | Wu Xiao | Liang Zhang
[1] M. Brauer,et al. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018). , 2020, Environmental science & technology.
[2] S. Fotheringham,et al. Geographically Weighted Regression , 1998 .
[3] Zhanqing Li,et al. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications , 2021 .
[4] Andrés Rivera,et al. Rapid urban growth, land-use changes and air pollution in Santiago, Chile , 1999 .
[5] X. Lee,et al. Urban heat islands in China enhanced by haze pollution , 2015, Nature Communications.
[6] Stefan Sperlich,et al. Generalized Additive Models , 2014 .
[7] Philippe Ciais,et al. Urbanization-induced population migration has reduced ambient PM2.5 concentrations in China , 2017, Science Advances.
[8] Sergio J. Rey,et al. US Regional Income Convergence: A Spatial Econometric Perspective , 1999 .
[9] Jianlei Lang,et al. Source apportionment and seasonal variation of PM2.5 carbonaceous aerosol in the Beijing-Tianjin-Hebei Region of China , 2015, Environmental Monitoring and Assessment.
[10] K. Seto,et al. Global urban land-use trends and climate impacts , 2009 .
[11] Jianjun He,et al. Air pollution in China: Status and spatiotemporal variations. , 2017, Environmental pollution.
[12] M. Zheng,et al. High-time-resolution PM2.5 source apportionment based on multi-model with organic tracers in Beijing during haze episodes. , 2021, The Science of the total environment.
[13] Wei Huang,et al. Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China. , 2019, The Science of the total environment.
[14] A. Kondo,et al. Numerical assessment of PM2.5 and O3 air quality in Continental Southeast Asia: Impacts of potential future climate change , 2019, Atmospheric Environment.
[15] Jianhua Xu,et al. Effects of land use and landscape pattern on PM2.5 in Yangtze River Delta, China , 2018, Atmospheric Pollution Research.
[16] R. Dubin,et al. Spatial Autocorrelation: A Primer , 1998 .
[17] Catherine Dehon,et al. Influence functions of the Spearman and Kendall correlation measures , 2010, Stat. Methods Appl..
[18] Wen-jie Zhang,et al. Source analysis of heavy metal elements of PM2.5 in canteen in a university in winter , 2021 .
[19] Xuejun Du,et al. Urban Land Expansion and Air Pollution: Evidence from China , 2018, Journal of Urban Planning and Development.
[20] Jing Cao,et al. Health burdens of ambient PM2.5 pollution across Chinese cities during 2006-2015. , 2019, Journal of environmental management.
[21] Yong-Chil Seo,et al. Effect of kaolin additive on PM2.5 reduction during pulverized coal combustion: Importance of sodium and its occurrence in coal , 2014 .
[22] Debin Lu,et al. Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using Machine Learning and Big Data , 2021, Remote. Sens..
[23] Zhaohui Xue,et al. Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression , 2017, Scientific Reports.
[24] Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China , 2019, American Economic Journal: Applied Economics.
[25] A. Dore,et al. Characteristics of ammonia, acid gases, and PM2.5 for three typical land-use types in the North China Plain , 2015, Environmental Science and Pollution Research.
[26] Weiqi Zhou,et al. City as a major source area of fine particulate (PM2.5) in China. , 2015, Environmental pollution.
[27] M. Alberti. The Effects of Urban Patterns on Ecosystem Function , 2005 .
[28] Qi Ying,et al. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014. , 2014, Environment international.
[29] J. Ord,et al. Local Spatial Autocorrelation Statistics: Distributional Issues and an Application , 2010 .
[30] Christian Schuster,et al. Land use patterns, temperature distribution, and potential heat stress risk - The case study Berlin, Germany , 2014, Comput. Environ. Urban Syst..
[31] Jianhua Xu,et al. Spatio-temporal variation and influence factors of PM2.5 concentrations in China from 1998 to 2014 , 2017 .
[32] Kaifang Shi,et al. Exploring the relationships between urban forms and fine particulate (PM2.5) concentration in China: A multi-perspective study , 2019, Journal of Cleaner Production.
[33] C. Ren,et al. Investigating the influence of urban land use and landscape pattern on PM2.5 spatial variation using mobile monitoring and WUDAPT , 2019, Landscape and Urban Planning.
[34] Jiansheng Wu,et al. Effects of Urban Landscape Pattern on PM2.5 Pollution—A Beijing Case Study , 2015, PloS one.
[35] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[36] A. Getis. The Analysis of Spatial Association by Use of Distance Statistics , 2010 .
[37] Duanping Liao,et al. Association of daily cause-specific mortality with ambient particle air pollution in Wuhan, China. , 2007, Environmental research.
[38] Jizhi Wang,et al. Factors contributing to haze and fog in China , 2013 .
[39] Zhong-ren Peng,et al. Fine-scale variations in PM2.5 and black carbon concentrations and corresponding influential factors at an urban road intersection , 2018 .
[40] Chunqiong Liu,et al. Multifractal Processes and Self-Organized Criticality of PM2.5 during a Typical Haze Period in Chengdu, China , 2014 .
[41] P. Hopke,et al. COVID-19 pandemic in Wuhan: Ambient air quality and the relationships between criteria air pollutants and meteorological variables before, during, and after lockdown , 2020, Atmospheric Research.
[42] Junji Cao,et al. PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in Beijing: Seasonal variations, sources, and risk assessment. , 2019, Journal of environmental sciences.
[43] John C. Lin,et al. Impacts of upwind wildfire emissions on CO, CO2, and PM2.5 concentrations in Salt Lake City, Utah , 2015 .
[44] Richard T Burnett,et al. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors. , 2019, Environmental science & technology.
[45] Anurag Srivastava,et al. Land use and climate change impacts on runoff and soil erosion at the hillslope scale in the Brazilian Cerrado. , 2018, The Science of the total environment.
[46] Renjian Zhang,et al. Characterization and Source Apportionment of PM2.5 in an Urban Environment in Beijing , 2013 .
[47] Wenju Gao,et al. Diurnal, seasonal, and spatial variation of PM2.5 in Beijing , 2015 .
[48] Hong Wang,et al. Characteristics of visibility and particulate matter (PM) in an urban area of Northeast China , 2013 .
[49] Bin Zou,et al. Scale- and Region-Dependence in Landscape-PM2.5 Correlation: Implications for Urban Planning , 2017, Remote. Sens..
[50] Mysore G. Satish,et al. Dispersion model evaluation of PM2.5, NOx and SO2 from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model , 2013 .
[51] Roberto Basile. Regional economic growth in Europe: A semiparametric spatial dependence approach , 2008 .
[52] Chuanglin Fang,et al. The Effect of Economic Growth, Urbanization, and Industrialization on Fine Particulate Matter (PM2.5) Concentrations in China. , 2016, Environmental science & technology.
[53] Jing Wei,et al. Impact of Land-Use and Land-Cover Change on urban air quality in representative cities of China , 2016 .
[54] Characteristics of atmospheric PM2.5 in stands and non-forest cover sites across urban-rural areas in Beijing, China , 2016, Urban Ecosystems.
[55] Mengmeng Liu,et al. Relationship between types of urban forest and PM2.5 capture at three growth stages of leaves. , 2015, Journal of environmental sciences.
[56] Colette L. Heald,et al. The impact of historical land use change from 1850 to 2000 on secondary particulate matter and ozone , 2016 .
[57] J. Zacharias,et al. Landscape modification for ambient environmental improvement in central business districts - A case from Beijing , 2015 .
[58] Yuesi Wang,et al. Size-resolved aerosol chemical analysis of extreme haze pollution events during early 2013 in urban Beijing, China. , 2014, Journal of hazardous materials.
[59] Jianhua Xu,et al. Response of PM2.5 pollution to land use in China , 2020 .
[60] Jianhua Xu,et al. Global distribution and evolvement of urbanization and PM2.5 (1998–2015) , 2018, Atmospheric Environment.
[61] Fang Zhang,et al. Persistent sulfate formation from London Fog to Chinese haze , 2016, Proceedings of the National Academy of Sciences.
[62] Ramesh P. Singh,et al. The Spatiotemporal Distribution of Air Pollutants and Their Relationship with Land-Use Patterns in Hangzhou City, China , 2017 .
[63] Leorey O. Marquez,et al. A framework for linking urban form and air quality , 1999, Environ. Model. Softw..
[64] K. Hubacek,et al. The characteristics and drivers of fine particulate matter (PM2.5) distribution in China , 2017 .
[65] S. Tao,et al. Quantification of global primary emissions of PM2.5, PM10, and TSP from combustion and industrial process sources. , 2014, Environmental science & technology.
[66] Jianhua Xu,et al. Quantifying the influence of natural and socioeconomic factors and their interactive impact on PM2.5 pollution in China. , 2018, Environmental pollution.