Suppr超能文献

[Spatio-Temporal Evolution Characteristics and Source Apportionment of O and NO in Shijiazhuang].

作者信息

Wang Shuai, Nie Sai-Sai, Feng Ya-Ping, Cui Jian-Sheng, Chen Jing, Liu Da-Xi, Shi Wen-Ya

机构信息

School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Shijiazhuang Meteorological Bureau, Shijiazhuang 050081, China.

出版信息

Huan Jing Ke Xue. 2021 Jun 8;42(6):2679-2690. doi: 10.13227/j.hjkx.202011090.

Abstract

Ground-level O, NO, and meteorological (temperature, humidity, wind speed, precipitation, and sunshine duration) data from 18 counties in Shijiazhuang City from 2014 to 2017, and volatile organic compounds (VOCs) data for Summer 2017, were analyzed to explore the spatial patterns, evolution, influencing factors, and source apportionment of O and NO in Shijiazhuang City. Network analysis and inverse distance weighted (IDW) spatial autocorrelation and backward trajectories analyses were performed. The results indicate that O concentrations increased between 2014 and 2017, and monthly variations showed a unimodal trend. The typical period of peak O pollution (O ≥ 160 μg·m) was from May to September, characterized by high temperatures, low humidity, weak winds, and strong solar radiation. The O concentrations were negatively correlated with the NO. Furthermore, O concentrations increased year-on-year since 2015 in main urban area, and the dominant pollutant type had changed from NO (2014 to 2016) to VOCs (2016 and 2017). However, the O concentration of county-areas limited by the VOCs. The main factors affecting O concentrations were industry, agriculture, economy, and population, and centers of O pollution associated with secondary industry appeared in the main urban areas of Shijiazhuang and Luancheng. Moreover, VOCs trajectories during the summer monitoring period were clustered in three source directions:(A) East-northeast, 26.67%; (B) Northwest-west, 43.33%; and (C) Southeast-south, 30%). Trajectories (A) and (C) were the dominant directions of VOC transmission (east-southeast).

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验