Rainwater harvesting design uncertainty using fuzzy logic
One of the biggest environmental challenges that face Malaysia today is the scarcity of water. The increased need of water resources caused by population growth and rapid industrialization has created the need to manage water resources more efficiently and effectively. Many methods are developed to...
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my.utm.410442017-02-15T06:51:11Z http://eprints.utm.my/id/eprint/41044/ Rainwater harvesting design uncertainty using fuzzy logic Shamsudin, Supiah Ab. Rahman, Azmi Haron, Zaiton Danazumi, Salisu Jalil, Siti Hawa Zakaria, Mohd. Azizi TA Engineering (General). Civil engineering (General) One of the biggest environmental challenges that face Malaysia today is the scarcity of water. The increased need of water resources caused by population growth and rapid industrialization has created the need to manage water resources more efficiently and effectively. Many methods are developed to increase the source of water supply; one alternative source is rainwater harvesting. Rainfall harvesting from catchments has not received large attention in Malaysia. This method is one of the proactive action can be taken to avoid shortage of water resources in the future. The analysis results showed the maximum and minimum flow rate according to return year obtained using Fuzzy membership functions establishment. Retention times obtained from MATLAB are 7.27 days. Using a Rational method, the relationship between flow rate and intensity is created. The relationship yields an equation that is y = 0.0000317x and R2 = 0.9855. Then, the relationship between coefficient and intensity yields an equation that is y = -0.0031 x + 1.317 and R2 = 0.9238. All assumptions and calculations in this study are based on studies undertaken. In general, the findings can be summarized as good based on the results obtained. 2013 Article PeerReviewed Shamsudin, Supiah and Ab. Rahman, Azmi and Haron, Zaiton and Danazumi, Salisu and Jalil, Siti Hawa and Zakaria, Mohd. Azizi (2013) Rainwater harvesting design uncertainty using fuzzy logic. International Journal of Soft Computing and Engineering- National Science Library New Delhi, India, 2 (3). pp. 1-6. ISSN 2231-2307 |
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TA Engineering (General). Civil engineering (General) Shamsudin, Supiah Ab. Rahman, Azmi Haron, Zaiton Danazumi, Salisu Jalil, Siti Hawa Zakaria, Mohd. Azizi Rainwater harvesting design uncertainty using fuzzy logic |
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One of the biggest environmental challenges that face Malaysia today is the scarcity of water. The increased need of water resources caused by population growth and rapid industrialization has created the need to manage water resources more efficiently and effectively. Many methods are developed to increase the source of water supply; one alternative source is rainwater harvesting. Rainfall harvesting from catchments has not received large attention in Malaysia. This method is one of the proactive action can be taken to avoid shortage of water resources in the future. The analysis results showed the maximum and minimum flow rate according to return year obtained using Fuzzy membership functions establishment. Retention times obtained from MATLAB are 7.27 days. Using a Rational method, the relationship between flow rate and intensity is created. The relationship yields an equation that is y = 0.0000317x and R2 = 0.9855. Then, the relationship between coefficient and intensity yields an equation that is y = -0.0031 x + 1.317 and R2 = 0.9238. All assumptions and calculations in this study are based on studies undertaken. In general, the findings can be summarized as good based on the results obtained. |
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Article |
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Shamsudin, Supiah Ab. Rahman, Azmi Haron, Zaiton Danazumi, Salisu Jalil, Siti Hawa Zakaria, Mohd. Azizi |
author_facet |
Shamsudin, Supiah Ab. Rahman, Azmi Haron, Zaiton Danazumi, Salisu Jalil, Siti Hawa Zakaria, Mohd. Azizi |
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Shamsudin, Supiah |
title |
Rainwater harvesting design uncertainty using fuzzy logic |
title_short |
Rainwater harvesting design uncertainty using fuzzy logic |
title_full |
Rainwater harvesting design uncertainty using fuzzy logic |
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Rainwater harvesting design uncertainty using fuzzy logic |
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Rainwater harvesting design uncertainty using fuzzy logic |
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rainwater harvesting design uncertainty using fuzzy logic |
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2013 |
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http://eprints.utm.my/id/eprint/41044/ |
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