汽车污染预测的一般有限线源模型

Ashok K. Luhar , R.S. Patil
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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。
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.

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