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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Main Authors: Shamsudin, Supiah, Ab. Rahman, Azmi, Haron, Zaiton, Danazumi, Salisu, Jalil, Siti Hawa, Zakaria, Mohd. Azizi
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Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/41044/
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spelling 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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle 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
description 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.
format Article
author 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
author_sort 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
title_fullStr Rainwater harvesting design uncertainty using fuzzy logic
title_full_unstemmed Rainwater harvesting design uncertainty using fuzzy logic
title_sort rainwater harvesting design uncertainty using fuzzy logic
publishDate 2013
url http://eprints.utm.my/id/eprint/41044/
_version_ 1643650629968592896
score 13.209306