Data for: Simulating PM2.5 removal in an urban ecosystem based on the social-ecological model framework

Published: 29-03-2020| Version 1 | DOI: 10.17632/f8v86cczr7.1
Xiangyu Luo,
Peng Jiang,
Jingyi Yang,
Jing Jin,
Jun Yang


This data set contains all data used to build the urban ecosystem service model for predicting the the PM2.5 removal service in Beijing under three policy scenarios by 2035. It has two parts: (1) python script of the entire model and associated data including attribute data of sociaoeconomic status and TIFF files of land use change restirctions; (2) testing data and simulation results including TIFF files of LAI, land use distribution, PM2.5 concentration, wind speed.