京津冀城市群分区县PM2.5浓度及其影响因素数据集（2014）

以京津冀城市群为研究区，基于大气成分分析组织(Atmospheric Composition Analysis Group)2014年的PM<SUB>2.5</SUB>平均浓度模拟数据（0.01&deg x 0.01&deg）、79个站点PM<SUB>2.5</SUB>浓度逐日实测数据、160个站点逐月气象数据、MODIS NDVI、DMSP/OLS稳定夜间灯光数据、2015年中国县域统计年鉴（县市卷）、京津冀13个城市的统计年鉴等基础数据，研究了京津冀城市群分区县PM<SUB>2.5</SUB>浓度的空间分布及其影响因素，得到京津冀城市群分区县PM<SUB>2.5</SUB>浓度及其影响因素数据集（2014）。数据分析结果表明，京津冀城市群PM<SUB>2.5</SUB>浓度空间上呈东南高、西北低的特点。年均风速、年均气温、人口密度、地形起伏度、第二产业占比、能源消费、植被覆盖度等对本地大气污染具有显著贡献。该数据集包括：（1）2014年每月京津冀13个城市的PM<SUB>2.5</SUB>浓度数据；（2）2014年京津冀城市群202个区县PM<SUB>2.5</SUB>年平均浓度和影响因素数据（包括年降水量、年均气温、年均风速、年均相对湿度、植被覆盖度、海拔高度、地形起伏度等自然因素，人均GDP、人口密度、能源消费、第二产业占比等人文因素）。数据集存储为.shp、.xlsx格式，由9个文件组成，数据量为5.43 MB（压缩为1个文件，3.43 MB）。该数据集的分析研究成果发表在《地理学报》2018年73卷第1期。

Taking the Beijing-Tianjin-Hebei urban agglomeration as the study area, this research adopted basic data including 2014 PM₂.₅ average concentration simulation data (0.01° × 0.01°) from the Atmospheric Composition Analysis Group, daily measured PM₂.₅ concentration data from 79 monitoring stations, monthly meteorological data from 160 monitoring stations, MODIS NDVI, DMSP/OLS stable nighttime light data, 2015 China County Statistical Yearbook (County and City Volume), and statistical yearbooks of the 13 cities in the Beijing-Tianjin-Hebei region. It investigated the spatial distribution of county-level PM₂.₅ concentrations and their influencing factors in the Beijing-Tianjin-Hebei urban agglomeration, and developed the Dataset of PM₂.₅ Concentrations and Their Influencing Factors at County Level in the Beijing-Tianjin-Hebei Urban Agglomeration (2014). The analysis results show that the PM₂.₅ concentrations in the Beijing-Tianjin-Hebei urban agglomeration present a spatial pattern of being high in the southeast and low in the northwest. Annual average wind speed, annual average temperature, population density, proportion of secondary industry, energy consumption, vegetation coverage and other factors have significant contributions to local air pollution. The dataset includes: (1) Monthly PM₂.₅ concentration data of the 13 cities in the Beijing-Tianjin-Hebei region in 2014; (2) Annual average PM₂.₅ concentrations and influencing factor data for 202 county-level districts in the Beijing-Tianjin-Hebei urban agglomeration in 2014, covering natural factors such as annual precipitation, annual average temperature, annual average wind speed, annual average relative humidity, vegetation coverage, altitude and topographic relief, as well as human factors such as per capita GDP, population density, energy consumption and proportion of secondary industry. The dataset is stored in .shp and .xlsx formats, consisting of 9 files with a total size of 5.43 MB (compressed into a single file of 3.43 MB). The analytical research findings of this dataset were published in *Acta Geographica Sinica*, Volume 73, Issue 1, 2018.

搜集汇总

背景与挑战

背景概述

该数据集聚焦2014年京津冀城市群分区县的PM2.5浓度及其影响因素，包含月度浓度数据和年度自然与人为因素数据，如气象条件、植被覆盖、人口密度等。数据基于多源数据整合，旨在分析PM2.5的时空分布特征及影响因素，为大气污染研究提供支持。