气候变化领域集成服务门户(CCPortal): Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: Potentially overlooked CO hotspots in the Tibetan Plateau

CCPortal

DOI	10.5194/acp-19-12413-2019
	Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: Potentially overlooked CO hotspots in the Tibetan Plateau
	Liu D.; Di B.; Luo Y.; Deng X.; Zhang H.; Yang F.; Grieneisen M.L.; Zhan Y.
发表日期	2019
ISSN	16807316
起始页码	12413
结束页码	12430
卷号	19 期号:19
英文摘要	Given its relatively long lifetime in the troposphere, carbon monoxide (CO) is commonly employed as a tracer for characterizing airborne pollutant distributions. The present study aims to estimate the spatiotemporal distributions of ground-level CO concentrations across China during 2013-2016. We refined the random-forest-spatiotemporal kriging (RF-STK) model to simulate the daily CO concentrations on a 0.1° grid based on the extensive CO monitoring data and the Measurements of Pollution in the Troposphere CO retrievals (MOPITT CO). The RF-STK model alleviated the negative effects of sampling bias and variance heterogeneity on the model training, with cross-validation R2 of 0.51 and 0.71 for predicting the daily and multiyear average CO concentrations, respectively. The national population-weighted average CO concentrations were predicted to be 0:99±0:30 mgm-3 (μ ±σ) and showed decreasing trends over all regions of China at a rate of-0:021± 0:004 mgm-3 yr-1. The CO pollution was more severe in North China (1:19±0:30 mgm-3), and the predicted patterns were generally consistent with MOPITT CO. The hotspots in the central Tibetan Plateau where the CO concentrations were underestimated by MOPITT CO were apparent in the RF-STK predictions. This comprehensive dataset of groundlevel CO concentrations is valuable for air quality management in China. © 2019 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	air quality; carbon monoxide; concentration (composition); kriging; monitoring system; spatial distribution; temporal distribution; troposphere; China; Qinghai-Xizang Plateau
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144105
作者单位	Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, China; Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, 610200, China; Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, United States; Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China; National Engineering Research Center for Flue Gas Desulfurization, Chengdu, 610065, China; Sino-German Centre for Water and Health Research, Sichuan University, Chengdu, 610065, China; Medical Big Data Center, Sichuan University, Chengdu, 610041, China
推荐引用方式 GB/T 7714	Liu D.,Di B.,Luo Y.,et al. Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: Potentially overlooked CO hotspots in the Tibetan Plateau[J],2019,19(19).
APA	Liu D..,Di B..,Luo Y..,Deng X..,Zhang H..,...&Zhan Y..(2019).Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: Potentially overlooked CO hotspots in the Tibetan Plateau.Atmospheric Chemistry and Physics,19(19).
MLA	Liu D.,et al."Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: Potentially overlooked CO hotspots in the Tibetan Plateau".Atmospheric Chemistry and Physics 19.19(2019).