Predicting the impact of future climate change on streamflow in the Ugam River watershed

IF 0.7 Q3 GEOGRAPHY
GeoScape Pub Date : 2021-12-01 DOI:10.2478/geosc-2021-0013
U. Uzbekov, B. Pulatov, B. Alikhanov, A. Pulatov
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引用次数: 6

Abstract

Abstract Climate change affects the environment and human life across the planet and it is expected that the negative consequences will be large, especially in developing countries, such as Uzbekistan. The objective of this study was to predict the impact of future climate change on the streamflow of Ugam watershed (Chirchik River Basin (CRB)) using the Soil and Water Assessment Tool (SWAT). The outputs of Coupled Model Intercomparison Project Phase 5 (CMIP5), in combination with Representative Concentration Pathway 8.5, were used as future climate records for the period 2019−2048. The SWAT model was calibrated and validated for the streamflow from Ugam watershed through using the observed daily flow data from 2007 to 2011. The calibrated SWAT model was used to simulate the impact of future climate change on streamflow in the Ugam River for 2019−2048. The results show that the stream discharge is expected to decrease by approximately 42% within thirty years, with a 1.4 °C increase in temperature and 286 mm decrease in precipitation. The peak point for the future period is 40.32 m3 /s in 2037 whereas the lowest discharge, predicted for 2048, accounts for 22.54 m3 /s. Our study enables to understand the impact of climate change on water resources in the Ugam river and to increase the adaptive capacity of water users and managers in the region.
预测未来气候变化对乌甘河流域流量的影响
摘要气候变化影响着全球的环境和人类生活,预计其负面影响将是巨大的,尤其是在乌兹别克斯坦等发展中国家。本研究的目的是使用土壤和水评估工具(SWAT)预测未来气候变化对乌甘流域(Chirchik河流域(CRB))流量的影响。耦合模型相互比较项目第5阶段(CMIP5)的输出与代表性浓度路径8.5相结合,被用作2019−2048年期间的未来气候记录。通过使用2007年至2011年的观测日流量数据,对乌甘流域的SWAT模型进行了校准和验证。校准后的SWAT模型用于模拟2019−2048年未来气候变化对乌甘河流量的影响。结果表明,预计30年内,河流流量将减少约42%,气温将上升1.4°C,降水量将减少286mm。2037年,未来时期的峰值为40.32 m3/s,而预计2048年的最低流量为22.54 m3/s。我们的研究有助于了解气候变化对乌甘河水资源的影响,并提高该地区用水者和管理者的适应能力。
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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来源期刊
GeoScape
GeoScape GEOGRAPHY-
CiteScore
2.70
自引率
7.70%
发文量
7
审稿时长
4 weeks
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