基于WRF-Chem模拟验证的天水市主城区大气污染源排放清单

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摘要通过部门调研、现场调查和遥感解译等方法获取天水市主城区大气污染源活动水平数据, 采用排放因子法估算了天水市主城区10类污染源的9种污染物排放量, 构建了2019年天水市主城区高分辨率排放清单, 并采用横向比较法和模式验证法评估了排放清单的合理性.结果表明: (1)2019年天水市主城区SO₂、NO_x、CO、VOCs、NH₃、PM₁₀、PM_2.5、BC和OC的排放量分别为2702, 8829, 82670, 10460, 7551, 14221, 8252, 1682和2814t.化石燃料固定燃烧源为SO₂、CO和颗粒物的主要贡献源, 移动源是NO_x和VOCs的主要贡献源, NH₃排放主要来源于农业源.(2)天水市主城区SO₂、NO_x、颗粒物、CO和VOC_S的排放高值区主要集中在人口和工业密集的河谷地形内, NH₃排放高值区分布在周边耕地区域.(3)民用散烧源的空间分配方案对模拟结果有重要影响, 在河谷地形集中供热范围外, 根据城中村的分布对民用散烧源进行空间分配较为合理.(4)WRF-Chem模式模拟的4, 7, 10和12月的SO₂、NO₂、O₃、CO、PM₁₀和PM_2.5日均浓度与同期监测的污染物浓度相关系数分别为0.767, 0.502, 0.618, 0.462, 0.647和0.654.

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	刘扬
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	刘灏
	秦闯
	王思潼
	李博
	郭春晔

关键词 ：大气污染物, 排放清单, 时空分布, WRF-Chem模式

Abstract：An emission inventory, including ten emission categories and nine air pollutants, was developed for the main urban area of Tianshui city (EITS) using emission factor approach. Sector survey, on-site investigation and remote sensing interpretation method have been used to derive the activity data of air pollution sources used in EITS. The rationality of EITS was further validated by comparing with other emission inventories and model verification. The results suggested that: (1)The total emissions in the study area were 2702t SO₂, 8829t NO_x, 82670t CO, 10460t VOCs, 7551t NH₃, 14221t PM₁₀, 8252t PM_2.5, 1682t BC and 2814t OC in 2019. Fossil fuel burning was the major contributor to SO₂、CO and PM emissions, traffic was the main source of NO_x and VOCs emissions, while agriculture was the dominate contributor to NH₃ emission; (2) High-emissions of SO₂、NO_x、PM、CO and VOCs appears in river valley, while NH₃ emission maximizes outside of the river valley where cultivated lands were dominate; (3) Spatial allocation of residential fuel consumption sources had an important effect on model simulations, with more reasonable results when the location of village outside of the river valley region was used for spatial allocation; (4) Correlation coefficients between WRF-Chem modeled and observed daily averages of SO₂、NO₂、O₃、CO、PM₁₀ and PM_2.5 concentrations were 0.767、0.502、0.618、0.462、0.647 and 0.654, respectively, indicating the reasonability of the EITS.

Key words： air pollutants emission inventory time and space distribution WRF-Chem model

收稿日期: 2021-05-14

PACS:

X51

基金资助:甘肃省科技计划项目(18JR2RA005)

通讯作者: 王颖, 副教授, yingwang@lzu.edu.cn E-mail: yingwang@lzu.edu.cn

作者简介: 刘扬(1997-), 女, 河北沧州人, 兰州大学硕士研究生, 主要研究方向为空气质量数值模拟

引用本文:

刘扬, 王颖, 刘灏, 秦闯, 王思潼, 李博, 郭春晔. 基于WRF-Chem模拟验证的天水市主城区大气污染源排放清单[J]. 中国环境科学, 2022, 42(1): 32-42. LIU Yang, WANG Ying, LIU Hao, QIN Chuang, WANG Si-tong, LI Bo, GUO Chun-ye. Air pollutants emission inventory for the main urban area of Tianshui City based on verification by WRF-Chem simulation. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(1): 32-42.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2022/V42/I1/32

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