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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1998
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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 |