Rainwater Harvesting Design Uncertainty Using Fuzzy Logic
Supiah Bt Shamsudin1, Azmi Ab Rahman2, Zaiton Bt Haron3, Salisu Danazumi4, Siti Hawa Bt Jalil5, Mohd Azizi B Zakaria6
1Supiah Bt Shamsudin. UTM Razak School of Engineering and Advances Technology, Universiti Teknologi Malaysia Kuala Lumpur, Jalan Semarak, Kuala Lumpur, Malaysia.
2Azmi Ab Rahman, Perdana School of Science Technology and Innovation (STI) Policy, Universiti Teknologi Malaysia, International Campus, Kuala Lumpur, Malaysia.
3Zaiton Bt Haron, Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM Skudai, Malaysia.
4Salisu Danazumi, Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM Skudai, Malaysia.
5Siti Hawa bt Jalil, Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM Skudai, Malaysia.
6Mohd Azizi B. Zakaria, Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM Skudai, Malaysia.
Manuscript received on April 05, 2013. | Revised Manuscript received on April 28, 2013. | Manuscript published on May 05, 2013. | PP: 319-324 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1422053213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Fuzzy membership function, MATLAB, overflow, rainwater harvesting and tank size.