文章基本信息

标题：Prediction for Natural Recharging In Langat Basin and Ukm Campus as Case Study
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作者：Mohammad Fawzi Al Ajlouni ; Rakmi Abd Rahman ; Abdul Ghani Rafek 等
期刊名称：ARPN Journal of Systems and Software
电子版ISSN：2222-9833
出版年度：2011
卷号：1
期号：3
页码：93-100
出版社：ARPN Publishers
摘要：Various water budget elements such as water supply to the, ground water recharge, and change in storage are predicted by Water Budget Method for a period of 2.5 years. The predicted water budget elements are evaluated by UKM Meteorological station data. The results show that the modelling undertaken is on the flow of the water and calculation of the water balance for the constructed wetlands using the water budget equation in order to determine the potential underground water resources of the UKM Bangi, Campus. The modeling will be based on the known geology of the area from previous research and Water availability from the known sources, e.g. Engineering and Golf lakes, which are being used as alternative water sources for the Campus. The volume of water that can be held by the UKM aquifer is about 1.4 million m3, which agrees with the estimate by JICA (2002) for the Langat river basin, that the recharging rate is 4.8% of the annual rainfall, from this study the recharging rate is 5% of the annual rainfall. The close approximation of the results for Langat Basin and UKM campus supports the contention that the UKM catchment is just a sub-catchment of the Langat River basin and should have similar properties.
关键词：Water Budget Prediction and Modelling; UKM Campus as Sub River Basin Case Study