An Expert System for Predicting Air Pollution Due to Development

Air is one of the important media for living creatures to survive their lives. The number of pollution complaints received by the Department of Environment (DOE) rose sharply and the number of air pollution complaints far exceeded other complaints, a few air pollutants called criteria air polluta...

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主要作者: Ahmed Kabbashi, Nassereldeen
格式: Thesis
语言:English
English
出版: 1998
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在线阅读:http://psasir.upm.edu.my/id/eprint/10198/1/FK_1998_17_A.pdf
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spelling my-upm-ir.101982011-03-14T02:08:08Z An Expert System for Predicting Air Pollution Due to Development 1998-01 Ahmed Kabbashi, Nassereldeen Air is one of the important media for living creatures to survive their lives. The number of pollution complaints received by the Department of Environment (DOE) rose sharply and the number of air pollution complaints far exceeded other complaints, a few air pollutants called criteria air pollutants, can injure health, harm the environment, and cause property damage. In an environmental impact assessment (EIA) reports, the study to identify, predict and evaluate the impacts on the environment of a proposed project and to detail out the mitigating measures prior to project approval and implementation is very important. Due to shortage of manpower it is very difficult to verify that the developer or the project manager actually complies with the approved EIA guidelines. The purpose of this study is to develop a comprehensive expert system (ES) in air pollution that could be used as a tool in preparing an EIA evaluation and also as a tool to be used as an aid for approval and monitoring of an EIA study during the construction and operational stage of prescribed activities. This was carried out by: (1) detailed study of air impact analysis presented in EIA reports submitted to the DOE, (2) literature review about air quality and (3) Designing rules for air impact analysis to be incorporated into the EIA. Therefore, the application of a computer technology in the form of an expert system for air pollution using CLIPS helps in the analysis and management of EIA information. Air - Pollution - Case studies 1998-01 Thesis http://psasir.upm.edu.my/id/eprint/10198/ http://psasir.upm.edu.my/id/eprint/10198/1/FK_1998_17_A.pdf application/pdf en public masters Universiti Putra Malaysia Air - Pollution - Case studies Faculty of Engineering English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Air - Pollution - Case studies


spellingShingle Air - Pollution - Case studies


Ahmed Kabbashi, Nassereldeen
An Expert System for Predicting Air Pollution Due to Development
description Air is one of the important media for living creatures to survive their lives. The number of pollution complaints received by the Department of Environment (DOE) rose sharply and the number of air pollution complaints far exceeded other complaints, a few air pollutants called criteria air pollutants, can injure health, harm the environment, and cause property damage. In an environmental impact assessment (EIA) reports, the study to identify, predict and evaluate the impacts on the environment of a proposed project and to detail out the mitigating measures prior to project approval and implementation is very important. Due to shortage of manpower it is very difficult to verify that the developer or the project manager actually complies with the approved EIA guidelines. The purpose of this study is to develop a comprehensive expert system (ES) in air pollution that could be used as a tool in preparing an EIA evaluation and also as a tool to be used as an aid for approval and monitoring of an EIA study during the construction and operational stage of prescribed activities. This was carried out by: (1) detailed study of air impact analysis presented in EIA reports submitted to the DOE, (2) literature review about air quality and (3) Designing rules for air impact analysis to be incorporated into the EIA. Therefore, the application of a computer technology in the form of an expert system for air pollution using CLIPS helps in the analysis and management of EIA information.
format Thesis
qualification_level Master's degree
author Ahmed Kabbashi, Nassereldeen
author_facet Ahmed Kabbashi, Nassereldeen
author_sort Ahmed Kabbashi, Nassereldeen
title An Expert System for Predicting Air Pollution Due to Development
title_short An Expert System for Predicting Air Pollution Due to Development
title_full An Expert System for Predicting Air Pollution Due to Development
title_fullStr An Expert System for Predicting Air Pollution Due to Development
title_full_unstemmed An Expert System for Predicting Air Pollution Due to Development
title_sort expert system for predicting air pollution due to development
granting_institution Universiti Putra Malaysia
granting_department Faculty of Engineering
publishDate 1998
url http://psasir.upm.edu.my/id/eprint/10198/1/FK_1998_17_A.pdf
_version_ 1747811067621277696