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基于MOVES模型的昆明市高速公路机动车非尾气污染物排放清单及排放特征

张晓青 何超 李加强 陈彦林 陈振瑜 包广元

机电工程技术2025,Vol.54Issue(7):65-69,123,6.
机电工程技术2025,Vol.54Issue(7):65-69,123,6.DOI:10.3969/j.issn.1009-9492.2024.00183

基于MOVES模型的昆明市高速公路机动车非尾气污染物排放清单及排放特征

Non-exhaust Pollutant Emission Inventory and Emission Characteristics of Motor Vehicles on Kunming Expressways Based on MOVES Model

张晓青 1何超 2李加强 1陈彦林 1陈振瑜 1包广元1

作者信息

  • 1. 西南林业大学机械与交通学院,昆明 650224||云南省高校高原山区机动车环保与安全重点实验室,昆明 650224
  • 2. 西南林业大学机械与交通学院,昆明 650224||云南省高校高原山区机动车环保与安全重点实验室,昆明 650224||德宏职业学院,云南 德宏 678400
  • 折叠

摘要

Abstract

On expressways,motor vehicle driving activities are frequent,and non-exhaust pollutant emissions are focused on.The non-exhaust pollutant emissions of motor vehicles on Kunming's expressways are taken as the object,including four types:tire(PM2.5),tire(PM10),brake(PM2.5),and brake(PM10),a non-exhaust pollutant emission inventory is aimed to be constructed and its emission characteristics are analyzed.The localized MOVES model is used to calculate non-exhaust pollutant emission factors.Combined with the traffic flow data of passenger and freight vehicles on Kunming's expressways in 2021,data such as traffic flow and average driving mileage are obtained to construct an emission inventory.The emission characteristics of non-exhaust pollutants are analyzed from four aspects:overall emission,contribution of particulate matter types,contribution of emission source types,and contribution of vehicle types.At the same time,ArcGIS is used for the spatial allocation of emissions.The research conclusion shows that PM10 is the main non-exhaust pollutant particulate matter,where an emission amount of 191.59 t and an emission contribution rate of 74.3%are recorded.The brake wear source is the main type of non-exhaust pollutant emission source,where an emission contribution of 221.58 t and a contribution rate of 85.9%are recorded.Small passenger cars are the main vehicle type contributing to the total emission of non-exhaust particulate matter,where an emission amount of 108.68 t and a contribution rate of 42.1%are recorded.The spatial allocation results show that in areas with dense expressway networks and large traffic flows,there are higher emission levels.The research results provide a reference for reducing pollution.

关键词

非尾气污染物/排放清单/MOVES模型/高速公路

Key words

non-exhaust pollutants/discharge inventory/MOVES model/expressway

分类

资源环境

引用本文复制引用

张晓青,何超,李加强,陈彦林,陈振瑜,包广元..基于MOVES模型的昆明市高速公路机动车非尾气污染物排放清单及排放特征[J].机电工程技术,2025,54(7):65-69,123,6.

基金项目

云南省高层次人才项目(YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001) (YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001)

云南省科技厅高原山区农用拖拉机排放清单及时空分析特性研究(202301BD070001-077) (202301BD070001-077)

机电工程技术

1009-9492

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