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

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.

本数据集是为发表于《自然·可持续性》（Nature Sustainability）期刊的题为《中国北方清洁取暖方案的环境效益与家庭成本》的论文所构建。研究基于2015年区域人为排放清单（基准情景），设定了七种反事实情景，即将中国北方2015年全部民用固体燃料取暖替换为以下非集中供暖方案之一：改良炉灶清洁燃煤（clean coal with improved stoves，CCIS）、天然气取暖器（natural gas heaters，NGH）、电阻加热器（resistance heaters，RH）以及空气源热泵（air-to-air heat pumps，AAHP）。本数据集为基准情景及每种清洁取暖情景提供以下网格化数据：(1) PM2.5/氮氧化物（nitrogen oxides，NOx）/二氧化硫（sulfur dioxide，SO2）的年度民用取暖排放量；(2) 基于WRF-Chem模式模拟的月均地表PM2.5浓度；(3) 通过GEMM模型计算得到的PM2.5相关年度过早死亡人数；(4) 中国2015年人口分布数据；(5) 中国省级行政区划掩码；(6) 各网格中心点的经纬度坐标。