Dataset introduction

数据简介

CHAVOC (China High-resolution Ambient VOCs) is a high-resolution near-surface VOCs concentration dataset for China, designed to support secondary air pollution control and environmental health research. By integrating numerical simulations, satellite remote sensing, ground observations, meteorological reanalysis data, and observation-constrained fusion methods, CHAVOC provides seamless VOCs concentration products across different spatial and temporal scales. The dataset can support studies on the spatiotemporal evolution of VOCs, ozone and secondary organic aerosol pollution, and health-risk evaluation. It was jointly developed by Prof. Jing Li’s team at Peking University and Hangzhou Aima Technology Co., Ltd.

CHAVOC(中国高分辨率近地面VOCs浓度数据集)是面向大气二次污染治理与环境健康研究的中国高分辨率近地面 VOCs 浓度数据集。数据集综合数值模拟、卫星遥感、地面观测、气象再分析资料及观测约束融合方法,提供不同空间分辨率与时间尺度的无缝 VOCs 浓度数据产品,可用于支撑 VOCs 时空变化特征分析、臭氧与二次有机气溶胶污染研究以及健康风险评价。该数据集由北京大学李晶团队联合杭州矮马科技有限公司共同开发。

Data summary

数据总览

Air pollution空气污染物 Main predictor / data source主要预测变量 / 数据来源 Coverage area覆盖范围 Spatial resolution空间分辨率 Seamless无缝覆盖 Temporal resolution时间分辨率 Available period覆盖时段
VOCs
CMAQ simulationCMAQ模拟
CMAQ Nationwide全国 36 km × 36 km Yes Hourly小时尺度 2012.01–2025.12
VOCs
Observation-constrained fusion地面观测约束融合
Ground observations + TROPOMI + CMAQ + ERA5地面观测 + TROPOMI + CMAQ + ERA5 Beijing–Tianjin–Hebei京津冀 0.008° × 0.008° Yes Daily日尺度 2019.01–2024.12