Application of hydrological models in climate change framework for a river basin in India

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES Journal of Water and Climate Change Pub Date : 2023-08-28 DOI:10.2166/wcc.2023.188
Rishith Kumar Vogeti, K. Raju, D. Nagesh Kumar, Advani Manish Rajesh, S. V. Somanath Kumar, Yashraj Santosh Kumar Jha
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Abstract

Soil Water Assessment Tool (SWAT), Hydrologic Engineering Center-Hydrologic Modelling System (HEC-HMS), and Hydrologic Simulation Program Fortran (HSPF) are explored for streamflow simulation of Lower Godavari Basin, India. The simulating ability of models is evaluated using four indicators. SWAT has shown exceptional simulating ability in calibration and validation compared to the other two. Accordingly, SWAT is used in the climate change framework using an ensemble of 13 Global Climate Models and 4 Shared Socioeconomic Pathways (SSPs). Three-time segments, near-future (2021–2046), mid-future (2047–2072), and far-future (2073–2099), are considered for analysis. Four SSPs show a substantial increase in streamflow compared to the historical period (1982–2020). These deviations range from 17.14 (in SSP245) to 28.35% (in SSP126) (near-future), 31.32 (SSP370) to 43.28% (SSP585) (mid-future), and 30.41 (SSP126) to 70.8% (SSP585) (far-future). Across all timescales covering 948 months, the highest projected streamflow observed in SSP126, SSP245, SSP370, and SSP585 were 4962.36, 6,108, 6,821, and 6,845 m3/s, respectively. Efforts are also made to appraise the influence of multi-model combinations on streamflow. The present study is expected to provide a platform for holistic decision-making, which helps develop efficient basin planning and management alternatives.
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水文模型在印度河流流域气候变化框架中的应用
研究了土壤水分评估工具(SWAT)、水文工程中心水文建模系统(HEC-HMS)和水文模拟程序Fortran(HSPF)对印度下戈达瓦里盆地径流的模拟。使用四个指标来评估模型的模拟能力。与其他两种相比,SWAT在校准和验证方面表现出了非凡的模拟能力。因此,SWAT在气候变化框架中使用了13个全球气候模型和4个共享社会经济路径。考虑了三个时间段,即近期(2021–2046)、中期(2047–2072)和远期(2073–2099)进行分析。与历史时期(1982-2020年)相比,四个SSP显示流量大幅增加。这些偏差范围从17.14(在SSP245中)到28.35%(在SSP126中)(近期),31.32(SSP370)到43.28%(SSP585)(中期),以及30.41(SSP126)到70.8%(SSP586)(远期)。在948个月的所有时间尺度上,SSP126、SSP245、SSP370和SSP585观测到的最高预计流量分别为4962.36、6108、6821和6845 m3/s。还努力评估多模型组合对流量的影响。本研究有望为整体决策提供一个平台,有助于制定有效的流域规划和管理替代方案。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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