Data for 'Environmental Benefits and Household Costs of Clean Heating Options in Northern China'

Zhou, Mi; Peng, Liqun; Zhang, Lin; Mauzerall, Denise L.
Issue date: 2021
Rights:
Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Zhou, Mi, Peng, Liqun, Zhang, Lin, & Mauzerall, Denise L. (2021). Data for 'Environmental Benefits and Household Costs of Clean Heating Options in Northern China' [Data set]. Princeton University. https://doi.org/10.34770/wz62-f790
@electronic{zhou_mi_2021,
  author      = {Zhou, Mi and
                Peng, Liqun and
                Zhang, Lin and
                Mauzerall, Denise L.},
  title       = {{Data for 'Environmental Benefits and Hou
                sehold Costs of Clean Heating Options in
                 Northern China'  }},
  publisher   = {{Princeton University}},
  year        = 2021,
  url         = {https://doi.org/10.34770/wz62-f790}
}
Description:

This dataset is created for the paper titled 'Environmental Benefits and Household Costs of Clean Heating Options in Northern China' and published on Nature Sustainability. Based on a 2015 regional anthropogenic emission inventory (base case), we propose seven counterfactual scenarios in which all 2015 residential solid fuel heating in northern China switches to one of the following non-district heating options: clean coal with improved stoves (CCIS), natural gas heaters (NGH), resistance heaters (RH), or air-to-air heat pumps (AAHP). This dataset provides the following gridded information for the base case and each clean heating scenario: (1) annual residential heating emissions for PM2.5/NOx/SO2; (2) monthly mean surface PM2.5 concentrations from the WRF-Chem model; (3) annual PM2.5-related premature deaths calculated by the GEMM model; (4) 2015 population in China; (5) mask for provinces in China; (6) longitude and latitude of each grid center.

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