气候变化影响下卡鲁恒河流域水资源有效性评价

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY Engineer-Journal of the Institution of Engineers Sri Lanka Pub Date : 2023-09-25 DOI:10.4038/engineer.v56i3.7572
G. A. T. Madushanka, K. D. W. Nandalal, L. P. Mutuwatta
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引用次数: 0

摘要

卡鲁恒河是阿姆班恒河的一条主要右岸支流,是斯里兰卡的常年河流之一。卡鲁恒河大坝是一座大型重力坝,是位于卡鲁恒河上Matale地区Pallegama的Moragahakanda-Kalu恒河综合工程的重要组成部分。开展了一项研究,以调查和评估卡鲁恒河水库现在和未来的可用水量。利用历史天气数据计算当前的可用水量,利用从缩小尺度的气候变化模式中提取的预测数据估计未来的可用水量。本研究采用了6种气候模式的2种代表性浓度路径情景,即RCP 4.5和RCP 8.5。在使用之前,预测气候变化的降雨和温度数据是经过偏差校正的。随后,利用降雨径流模型土壤水分评估工具(SWAT)计算水分有效性。SWAT模型使用Kalu恒河上Laggala流量计观测到的流量序列进行了校准和验证。使用相同的校准设置,SWAT模型随后被用于评估未来情景中气候变化对河流流量的潜在影响。SWAT、HEC-ResSim模型和气候变化预测数据已被证明是识别气候变化驱动的水资源可用性挑战的有用工具,可以帮助制定战略性水资源规划。
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Assessment of Water Availability in Kalu Ganga Catchment under Climate Change Effects
Kalu Ganga, a major right-bank tributary of Amban Ganga, is one of the perennial rivers of Sri Lanka. Kalu Ganga Dam is a large gravity dam and a vital component of the complex Moragahakanda-Kalu Ganga Project built at Pallegama in the Matale District over the Kalu Ganga. A study was carried out to investigate and evaluate the present and future water availability of the Kalu Ganga reservoir. The present water availability is calculated using historical weather data, and the future water availability is estimated using predicted data extracted from downscaled climate change models. The study employed two Representative Concentration Pathway (RCP) scenarios, RCP 4.5 and RCP 8.5, of six climate models. Before being used, the climate change-predicted rainfall and temperature data were bias-corrected. Subsequently, the water availability was calculated using the rainfall-runoff model, Soil Water Assessment Tool (SWAT). The SWAT model was calibrated and validated using observed flow series at Laggala stream gauge on the Kalu Ganga. Using the same calibration settings, the SWAT model was then used to evaluate the potential impacts of climate change on streamflow in future scenarios. The SWAT, HEC-ResSim models and the climate change forecasted data have been shown to be useful tools for identifying climate change-driven water availability challenges, which can help with strategic water resources planning.
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