Hydrological Modelling for Reservoir Operation: Application of SWAT Model for Kalu Ganga Catchment, Sri Lanka

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY
G. Madushanka, K. Nandalal, L. Muthuwatta
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Abstract

: Kalu Ganga, a major tributary of Amban Ganga, is one of the perennial rivers of Sri Lanka. Also, Amban Ganga is a major tributary of Mahaweli Ganga. The Kalu Ganga starts from Knuckles mountains, and about 90% of the catchment is covered with forests. The Government of Sri Lanka constructed Kalu Ganga and Moragahakanda Reservoirs in 2014 to increase the water availability in Mahaweli Basin to improve the agricultural and drinking water benefits in several provinces. This study used the Soil Water Assessment Tool (SWAT) to simulate the hydrology of the Kalu Ganga catchment and estimate the daily streamflow series of the Kalu Ganga. The long-term mean annual flow of the Kalu Ganga at the dam site would be 196 MCM (equivalent to 6.24 m 3 /s) with a standard deviation of 57.5 MCM and coefficient of variation of 0.29. The mean annual catchment rainfall is 2763 mm, streamflow is 59%, and evapotranspiration is 33% of the rainfall. The Kalu Ganga catchment hydrology is dominated by the wet season rainfall, which governs the Kalu Ganga flow, where 89% of the annual flow volume is produced. Further, 67% of the flow volume is produced from November to January. The model results show that 89% of the annual average of streamflow is generated as baseflow, a feature of a perennial river. The high baseflow fraction is hydrologically favourable for the water availability of the catchment as this shows the utilizable quantity of water is high.
水库运行水文模型:SWAT模型在斯里兰卡卡鲁恒河流域的应用
卡伦恒河是安班恒河的一条主要支流,是斯里兰卡的多年生河流之一。此外,安班恒河是马哈威利恒河的主要支流。卡鲁恒河发源于Knuckles山脉,大约90%的流域被森林覆盖。斯里兰卡政府于2014年建造了Kalu Ganga和Moragahakanda水库,以增加Mahaweli盆地的水资源供应,改善几个省的农业和饮用水效益。利用土壤水分评估工具(SWAT)对卡鲁恒河流域进行了水文模拟,估算了卡鲁恒河流域的日流量序列。卡鲁恒河在坝址的长期年平均流量为196 MCM(相当于6.24 m3 /s),标准差为57.5 MCM,变异系数为0.29。流域年平均降雨量为2763 mm,径流量占总降雨量的59%,蒸散量占总降雨量的33%。卡鲁恒河流域的水文以雨季降雨为主,雨季降雨支配着卡鲁恒河的流量,卡鲁恒河年流量的89%产生于此。此外,67%的流量产生于11月至1月。模型结果表明,年平均流量的89%为基流,这是多年生河流的特征。高基流分数在水文上有利于集水区的水可用性,因为这表明可利用的水量很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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