Expert System for Predicting Cadmium Pollution
Expert System for predicting cadmium (Cd) pollution was developed using Visual Basic incorporated with CLIPS. The information was obtained from a primary data to develop this expert system. Sediment was used as an indicator of Cd pollution because of it's permanency compared to water itself...
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1998
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| Online Access: | http://psasir.upm.edu.my/id/eprint/10099/1/FK_1998_4_A.pdf |
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my-upm-ir.100992011-03-09T02:41:50Z Expert System for Predicting Cadmium Pollution 1998-02 Vengidason, Yogavaeni Expert System for predicting cadmium (Cd) pollution was developed using Visual Basic incorporated with CLIPS. The information was obtained from a primary data to develop this expert system. Sediment was used as an indicator of Cd pollution because of it's permanency compared to water itself and reported to be the sink for trace metals. The data obtained showed that in the dry season there was a significant change in the concentration of Cd. The Cd concentration increased from before the source to after the source of pollution. In the wet or semi-wet seasons, the overall Cd concentration reduced because the washout effect caused by the increase in the quantity of river water. As a result, the concentration of Cd before, at and after the source of pollution became about the same for the wet and the semi-wet seasons. This two points were used as a guide to come up with a theory to structure and develop the expert system. The user of the expert system is required to key in the before and after the source of pollution data and the Cd concentration in the water data, so that the system could process these data and predict the present and future level of heavy metal (Cd) pollution. The prediction and information provided in the system enabled user to produce a good EIA report on Cd pollution in the aquatic environment. Cadmium - Pollution - Case studies 1998-02 Thesis http://psasir.upm.edu.my/id/eprint/10099/ http://psasir.upm.edu.my/id/eprint/10099/1/FK_1998_4_A.pdf application/pdf en public masters Universiti Putra Malaysia Cadmium - Pollution - Case studies Faculty of Engineering English |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English English |
| topic |
Cadmium - Pollution - Case studies |
| spellingShingle |
Cadmium - Pollution - Case studies Vengidason, Yogavaeni Expert System for Predicting Cadmium Pollution |
| description |
Expert System for predicting cadmium (Cd) pollution was developed using
Visual Basic incorporated with CLIPS. The information was obtained from a primary
data to develop this expert system. Sediment was used as an indicator of Cd pollution
because of it's permanency compared to water itself and reported to be the sink for trace
metals. The data obtained showed that in the dry season there was a significant change
in the concentration of Cd. The Cd concentration increased from before the source to
after the source of pollution. In the wet or semi-wet seasons, the overall Cd
concentration reduced because the washout effect caused by the increase in the quantity
of river water. As a result, the concentration of Cd before, at and after the source of
pollution became about the same for the wet and the semi-wet seasons. This two points
were used as a guide to come up with a theory to structure and develop the expert
system. The user of the expert system is required to key in the before and after the
source of pollution data and the Cd concentration in the water data, so that the system could process these data and predict the present and future level of heavy
metal (Cd) pollution. The prediction and information provided in the system
enabled user to produce a good EIA report on Cd pollution in the aquatic
environment. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Vengidason, Yogavaeni |
| author_facet |
Vengidason, Yogavaeni |
| author_sort |
Vengidason, Yogavaeni |
| title |
Expert System for Predicting Cadmium Pollution |
| title_short |
Expert System for Predicting Cadmium Pollution |
| title_full |
Expert System for Predicting Cadmium Pollution |
| title_fullStr |
Expert System for Predicting Cadmium Pollution |
| title_full_unstemmed |
Expert System for Predicting Cadmium Pollution |
| title_sort |
expert system for predicting cadmium pollution |
| granting_institution |
Universiti Putra Malaysia |
| granting_department |
Faculty of Engineering |
| publishDate |
1998 |
| url |
http://psasir.upm.edu.my/id/eprint/10099/1/FK_1998_4_A.pdf |
| _version_ |
1747811047804239872 |