青藏高原及周边地区不同社会经济情景下未来大气污染物排放数据集（2015-2100）

本数据集来源于论文：Jiang, K., Xing, R., Luo, Z., Li, J., Men, Y., Shen, H., Shen, G., & Tao, S. (2023). Trends in air pollutants emissions in the Qinghai-Tibet Plateau and its surrounding areas under different socioeconomic scenarios. Science of The Total Environment, 899, 165745. doi:10.1016/j.scitotenv.2023.165745. 数据集包含了青藏高原（青海和西藏）以及其周边的6个国家（印度、巴基斯坦、孟加拉国、尼泊尔、不丹、缅甸）在不同社会经济情景（SSPs）下未来大气污染物排放数据。污染物包含黑碳（BC），有机碳（OC），细颗粒物（PM2.5），一氧化碳（CO），二氧化硫（SO2）和氮氧化物（NOx）。现有的SSPs情景模拟的基础数据在青藏高原及周边地区存在一定的偏差，本数据集基于更精准的污染物排放清单和SSPs情景框架构建了更准确的未来排放数据集。排放数据被划分为6个部门，具有相对SSPs数据集更高的空间分辨率（0.1°×0.1°）。数据可以更好地服务于青藏高原地区大气污染物的环境、健康及气候影响等模拟。

This dataset is derived from the paper: Jiang, K., Xing, R., Luo, Z., Li, J., Men, Y., Shen, H., Shen, G., & Tao, S. (2023). Trends in air pollutants emissions in the Qinghai-Tibet Plateau and its surrounding areas under different socioeconomic scenarios. *Science of The Total Environment*, 899, 165745. https://doi.org/10.1016/j.scitotenv.2023.165745.

This dataset covers future air pollutant emission data for the Qinghai-Tibet Plateau (Qinghai Province and Tibet Autonomous Region) and six neighboring countries: India, Pakistan, Bangladesh, Nepal, Bhutan, and Myanmar, under different socioeconomic scenarios (SSPs). The covered air pollutants include black carbon (BC), organic carbon (OC), fine particulate matter (PM2.5), carbon monoxide (CO), sulfur dioxide (SO2), and nitrogen oxides (NOx).

There are certain deviations in the baseline data of existing SSPs scenario simulations for the Qinghai-Tibet Plateau and its adjacent regions. This dataset establishes a more accurate future emission dataset based on a more precise air pollutant emission inventory and the SSPs scenario framework.

The emission data is classified into 6 sectors, with a higher spatial resolution (0.1° × 0.1°) compared to standard SSPs datasets.

This dataset can better support simulations of environmental, health, and climatic impacts of air pollutants over the Qinghai-Tibet Plateau region.

搜集汇总

背景与挑战

背景概述

该数据集提供了青藏高原及周边地区（包括6个国家）在2015年至2100年间不同社会经济情景（SSPs）下的大气污染物排放预测，涵盖黑碳、有机碳、PM2.5等六种污染物。其特点是基于更精准的排放清单和SSPs框架构建，具有较高的空间分辨率（0.1°×0.1°）和部门划分，旨在为环境、健康及气候影响模拟提供更准确的数据支持。