汽车污染预测的一般有限线源模型

Ashok K. Luhar , R.S. Patil
{"title":"汽车污染预测的一般有限线源模型","authors":"Ashok K. Luhar ,&nbsp;R.S. Patil","doi":"10.1016/0004-6981(89)90004-8","DOIUrl":null,"url":null,"abstract":"<div><p>A simple General Finite Line Source Model (GFLSM), based on the Gaussian diffusion equation is formulated so that it could be used for any orientation of wind direction with roadway and also does not have the infinite line source constraint of the General Motors (GM) model. The GFLSM is also modified to predict particulate concentrations by incorporating some simple corrections. The GFLSM, along with some other models viz. GM, CALINE-3 and HIWAY-2, has been applied to predict carbon monoxide (CO) concentrations near two traffic junctions in Bombay city. Staistical analysis of the predicted and observed (coilected by Municipal Corporation of Greater Bombay) CO levels reveals that the GFLSM performs better than other models when the line source is relatively finite in length. The modified GFLSM for particulates along with the GM model has been evaluated against the data base prepared by the New York State Department of Environmental Conservation and it is observed that the new model gives satisfactory results.</p></div>","PeriodicalId":100138,"journal":{"name":"Atmospheric Environment (1967)","volume":"23 3","pages":"Pages 555-562"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0004-6981(89)90004-8","citationCount":"124","resultStr":"{\"title\":\"A General Finite Line Source Model for vehicular pollution prediction\",\"authors\":\"Ashok K. Luhar ,&nbsp;R.S. Patil\",\"doi\":\"10.1016/0004-6981(89)90004-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A simple General Finite Line Source Model (GFLSM), based on the Gaussian diffusion equation is formulated so that it could be used for any orientation of wind direction with roadway and also does not have the infinite line source constraint of the General Motors (GM) model. The GFLSM is also modified to predict particulate concentrations by incorporating some simple corrections. The GFLSM, along with some other models viz. GM, CALINE-3 and HIWAY-2, has been applied to predict carbon monoxide (CO) concentrations near two traffic junctions in Bombay city. Staistical analysis of the predicted and observed (coilected by Municipal Corporation of Greater Bombay) CO levels reveals that the GFLSM performs better than other models when the line source is relatively finite in length. The modified GFLSM for particulates along with the GM model has been evaluated against the data base prepared by the New York State Department of Environmental Conservation and it is observed that the new model gives satisfactory results.</p></div>\",\"PeriodicalId\":100138,\"journal\":{\"name\":\"Atmospheric Environment (1967)\",\"volume\":\"23 3\",\"pages\":\"Pages 555-562\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0004-6981(89)90004-8\",\"citationCount\":\"124\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Environment (1967)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0004698189900048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment (1967)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0004698189900048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 124

摘要

在高斯扩散方程的基础上,建立了一种简单的通用有限线源模型(GFLSM),该模型不受通用汽车(GM)模型的无限线源约束,可以适用于任何有巷道的风向方向。GFLSM也经过修改,通过加入一些简单的修正来预测颗粒浓度。GFLSM与GM、CALINE-3和HIWAY-2等其他模型一起被用于预测孟买市两个交通路口附近的一氧化碳(CO)浓度。对预测和观测(由大孟买市政公司收集)CO水平的统计分析表明,当线源长度相对有限时,GFLSM比其他模型表现更好。将改进的GFLSM和GM模型与纽约州环境保护部编制的数据库进行了对比,结果表明,新模型的结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A General Finite Line Source Model for vehicular pollution prediction

A simple General Finite Line Source Model (GFLSM), based on the Gaussian diffusion equation is formulated so that it could be used for any orientation of wind direction with roadway and also does not have the infinite line source constraint of the General Motors (GM) model. The GFLSM is also modified to predict particulate concentrations by incorporating some simple corrections. The GFLSM, along with some other models viz. GM, CALINE-3 and HIWAY-2, has been applied to predict carbon monoxide (CO) concentrations near two traffic junctions in Bombay city. Staistical analysis of the predicted and observed (coilected by Municipal Corporation of Greater Bombay) CO levels reveals that the GFLSM performs better than other models when the line source is relatively finite in length. The modified GFLSM for particulates along with the GM model has been evaluated against the data base prepared by the New York State Department of Environmental Conservation and it is observed that the new model gives satisfactory results.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Calendar Introduction Errata Calendar Introduction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1