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基于CO2关联的沈阳市NH3浓度影响因素探究

赵焕 王男 王姝欣 金东青 柳佳宏 李哲 刘闽 刘雨薇

环境保护科学2026,Vol.52Issue(2):129-135,7.
环境保护科学2026,Vol.52Issue(2):129-135,7.DOI:10.16803/j.cnki.issn.1004-6216.202509018

基于CO2关联的沈阳市NH3浓度影响因素探究

Influencing factors of NH3 concentration in Shenyang based on CO2 correlation

赵焕 1王男 1王姝欣 1金东青 1柳佳宏 1李哲 1刘闽 1刘雨薇2

作者信息

  • 1. 辽宁省沈阳生态环境监测中心,沈阳 110136||沈阳市碳监测技术研究重点实验室,沈阳 110136
  • 2. 中国科学院金属研究所,沈阳 110136
  • 折叠

摘要

Abstract

Atmospheric ammonia(NH3)exerts direct and indirect impacts on air quality,ecosystems and global climate change.Since NH3 is not included in conventional air quality monitoring items,great uncertainties were brought to the implementation of ammonia pollution control in Shenyang.Taking Shenyang as the research area,this study explored the seasonal variation characteristics,influencing factors and transmission pathways of atmospheric NH3 in summer and winter,and put forward targeted control suggestions by adopting the random forest model,backward trajectory analysis and other methods.The results showed that the average NH3 concentration in Shenyang was higher in summer than in winter.In both seasons,atmospheric NH3 concentrations were characterized by higher values in the daytime and lower values at night.Large fluctuations in NH3 concentrations were observed in summer,while a single peak variation pattern was presented in winter.Meteorological factors were identified as the dominant factors affecting NH3 concentration variations.In addition,the influences of CO2 and CH4 concentrations on NH3 were also non-negligible.The atmospheric NH3 concentrations in Shenyang during summer and winter were jointly affected by surrounding provinces and neighboring countries.Air mass transport directions were complicated in summer,whereas a single transport direction was dominated in winter.

关键词

随机森林/后向轨迹/NH3/CO2/沈阳市

Key words

random forest/backward trajectory/NH3/CO2/Shenyang

分类

资源环境

引用本文复制引用

赵焕,王男,王姝欣,金东青,柳佳宏,李哲,刘闽,刘雨薇..基于CO2关联的沈阳市NH3浓度影响因素探究[J].环境保护科学,2026,52(2):129-135,7.

基金项目

辽宁省科学技术厅重点研发计划项目(2024JH2/102500098) (2024JH2/102500098)

环境保护科学

1004-6216

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