气候变化条件下干旱区两大流域水资源可利用性与低流量分析

Buveenthiran Mahenthiran, Lalith Rajapakse
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引用次数: 1

摘要

气候变化是实现可持续发展的最重大挑战,由于人为和自然原因在全球范围内引发的频繁变化,气候变化是当今讨论最多的话题之一。水资源和河流流量是经常受气候变化影响的主要水文参数。在本研究中,气候变化的预测变化来源于文献,并使用HEC-HMS降雨-径流模型研究了两个干旱区流域的即将发生的影响。对于Kirindi Oya和Maduru Oya盆地,该模型使用2001/2-2008年的数据期进行校准,并在2009-2015年进行验证。以MRAE (Mean Ratio Absolute Error)、NSE (Nash-Sutcliffe Efficiency)、R2 (Coefficient of Determination)和PBIAS (Percentage of BIAS)作为目标函数。尽管主要研究区域是斯里兰卡的干旱区,但分析也包括了其他气候带,主要是湿区,因为它们对干旱区的河流流量有直接或间接的影响。基于预测气候变化的综合气候变化情景考虑了未来的流量生成,结果表明HEC-HMS与SPI分析相结合是低流量分析的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Resources Availability and Low Flow Discharge Analysis of Two Selected River Basins in the Dry Zone Under Changing Climate Conditions
Climate change is the most significant challenge to achieving sustainable development and it is one of the most discussed topics today due to the frequent changes triggered around the globe because of both manmade and natural causes. Water resources and river flow are the main hydrologic parameters often affected by climate change. In the present study, the predicted climate change variations are derived from literature and HEC-HMS rainfall-runoff model is used to investigate impending impacts on using two dry zone basins. For Kirindi Oya and Maduru Oya basins, the model was calibrated using a data period from 2001/2-2008 and validated from 2009–2015. The MRAE (Mean Ratio Absolute Error), NSE (Nash-Sutcliffe Efficiency), R2 (Coefficient of Determination) and PBIAS (Percentage of BIAS) were used as objective functions. Even though the main study area is the dry zone of Sri Lanka, the analysis included the other climatic zones, mainly the wet zone as well, as they have a direct or indirect impact on the river flows in the dry zone. Synthetic climate change scenarios based on predicted climate variations were considered for future streamflow generation and results indicate that HEC-HMS in combination with SPI analysis is a useful tool in low flow analysis.
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