Exploration of spatial and temporal characteristics of PM2.5 concentration in Guangzhou, China using wavelet analysis and modified land use regression model-Reference-Cited by-同舟云学术

Exploration of spatial and temporal characteristics of PM2.5 concentration in Guangzhou, China using wavelet analysis and modified land use regression model

Published:2018-10-02 Issue:4 Volume:21 Page:311-321
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Fan Fenglei¹²^ORCID,Liu Runping¹

Affiliation:

1. School of Geography, South China Normal University, Guangzhou, China

2. Joint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, China

Funder

National Nature Science Foundation of China

National Science Foundation of Tibet

Foundation for Innovative Research for Young Teachers in Higher Educational Institutions of Tibet

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

http://www.tandfonline.com/doi/pdf/10.1080/10095020.2018.1523341

Reference35 articles.

1. Spatial Variation in Particulate Concentrations within Metropolitan Philadelphia

2. Ensemble and enhanced PM10 concentration forecast model based on stepwise regression and wavelet analysis

3. Spatial variation of PM2.5, PM10, PM2.5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2 – Results of the ESCAPE project

4. Spatial and seasonal variation of particulate matter (PM10 and PM2.5) in Middle Eastern classrooms

5. Aerosol optical properties in a rural environment near the mega-city Guangzhou, China: implications for regional air pollution, radiative forcing and remote sensing

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