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EVALUATING POTENTIAL IMPACT OF CLIMATE CHANGE ON HYDROLOGICAL VARIABLES IN UPPER GODAVARI RIVER SUB BASIN, INDIA USING SWAT

机译:使用SWAT评估气候变化对气候变化对上妖术变量的潜在影响,使用SWAT

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Throughout the world, climate change impacts are the main concern for sustainability of water management and water use activities. Climate changes alter regional hydrologic conditions and results in a variety of impacts on water resource systems. The goal of this study is to investigate the potential impact of climate change on runoff generation at upper Godavari River sub-basin watershed located in Maharashtra State, India. The GCM derived scenarios (HadCM3 A2 & B2, SRES emission scenarios) were used for the climate projection. The statistical Downscaling Model (SDSM) was used to generate future possible local meteorological variables in the study area. Downscaled and projected precipitation and temperature variables were used to simulate runoff for current and future climate scenarios using the Soil and Water Assessment Tool (SWAT) model. The time series generated by GCM of HadCM3, A2 and B2 and Statistical Downscaling Model (SDSM) indicate a significant increasing trend in maximum and minimum temperature values and a slight decreasing trend in precipitation for both A2 and B2 emission scenarios in sub-basin for all three bench mark periods (2020s, 2050s and 2080s). The result shows overall decreasing trend in annual and monthly runoff in the study area, in three benchmark periods in the future. The results of this work would be of great benefit to the design of economic and social development planning in the study area.
机译:在全世界,气候变化的影响是水管理和用水活动可持续性的主要关注点。气候变化改变区域水文条件,并导致对水资源系统的各种影响。本研究的目标是调查气候变化对位于印度马哈拉施特拉邦州的上游戈达瓦里河子盆地流域径流发电的潜在影响。 GCM衍生方案(HADCM3 A2和B2,SRES发射方案)用于气候投影。统计缩小模型(SDSM)用于在研究区域产生未来可能的局部气象变量。使用土壤和水评估工具(SWAT)模型,用于模拟当前和未来气候情景的径流和预测的降水和温度变量。由HADCM3,A2和B2和统计缩小模型(SDSM)产生的时间序列表示最大和最小温度值的显着提高,并且副盆中A2和B2发射方案的降水降水略有降低三个台式标志(2020年代,2050年代和2080年代)。结果表明,在未来三个基准期间,研究区的年度和月度径流量的总体下降趋势。这项工作的结果将对研究区的经济和社会发展规划设计很大。

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