西宁市道路扬尘排放清单及时空分布特征
Road dust emission inventory and its spatial-temporal distribution characteristics in Xining
肖扬 1姬亚芹 1王淼 1赵静琦 1高玉宗 1杨益 1杨夏微 1王冰冰 1李景 2丛晓晓3
作者信息
- 1. 南开大学环境科学与工程学院,天津,300350
- 2. 西宁市生态环境局,西宁,810008
- 3. 青海洁神环境科技股份有限公司,西宁,810000
- 折叠
摘要
本研究通过实地采样与调查获取活动水平及相关数据,采用排放因子法建立2018年西宁市道路扬尘排放清单.利用ArcGIS进行3 km×3 km的空间分配,分析了其时空分布特征,利用蒙特卡洛模拟分析了道路扬尘排放清单的不确定性.结果表明,2018年西宁市道路扬尘PM2.5和PM10排放量分别为1904.10t和8563.09t,其中国道贡献率最高,分别为41.79％和39.74％.主要排放地区为大通县,贡献率分别为36.32％和35.47％.道路扬尘排放在全年各月出现差异,其中在6月出现最高值.蒙特卡罗模拟结果表明,在95％的概率分布范围内,西宁市2018年道路扬尘PM2.5和PM10不确定性范围为-26.49％—51.11％和-30.14％—30.06％.
Abstract
Based on the activity level and other related data obtained from field sampling and investigating,the road dust emission inventory in Xining City in 2018 was established by the emission factor method.The spatial distribution of 3 km×3 km was carried out using ArcGIS,its spatiotemporal distribution characteristics were analyzed,and the uncertainty analysis of road dust inventory was estimated using Monte Carlo simulation.The results showed that in 2018,the total emissions of PM2.5 and PM10 from road dust in Xining City were 1904.10 t and 8563.09 t,and the contribution ratios of the national highway were the highest,41.79％and 39.74％,respectively.The main emission area was Datong County,with contribution ratios of 36.32％and 35.47％.Road dust emissions varied from month to month throughout the year,with the highest emissions occurring in June.The Monte Carlo simulation results showed that within the probability distribution range of 95％,the uncertainty ranges of PM2.5 and PM10 of road dust in Xining City in 2018 were-26.49％—51.11％and-30.14％—30.06％.
关键词
道路扬尘/排放清单/时空分配/不确定性分析/西宁市Key words
road dust/emission inventory/space-time allocation/uncertainty analysis/Xining City引用本文复制引用
出版年
2024
NETL
NSTL
万方数据