An integrated land change modeler and distributed hydrological model approach for quantifying future urban runoff dynamics

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外文摘要：Climate and land use changes have a significant impact on the runoff generation process in urban environments,and these effects could get worse in the future.The combined contributions of these changes have increased the risk of flooding.Therefore,there is a need for integrated modeling to better understand the runoff variability,especially in small urban catch-ments.To quantify and separate the effects of land-use changes and climate change on the hydrological response of urban catchments with a distributed hydrological model(Storm Water Management Model,SWMM),this study introduces a new integrated approach based on the Machine Learning based land use change modeler and climate change scenarios under CMIP6.Based on supervised classification and land use change model analysis,accumulated impervious area increase from 22％(in 2023)to 33％(in 2060)was observed in the study area.Furthermore,integrating this projected increase in imperviousness with future climate change into SWMM by considering three different scenarios i.e.,S1(Climate Change),S2(Combined Land Use and Climate Change),and S3(Land use Change)resulted that climate change could cause an increase in runoff from 13.2％to 18.3％in peak runoff and the contribution of land use could range from 9.1％to 18.6％.Similarly,in response to the coupled effects of climate and land-use change,the runoff would likely change from 24.53％to 39.66％.Conclusively,the study showed that despite climate change,intensive urban development by the substitution of impervious surfaces could also have a severe impact on the microclimate and hydrology of small catchments.Lastly,this study could provide a way forward for the future planning and management of water resources in small catchments which could be extended to larger catchments.

外文关键词：

Climate changeLand-use modelingRunoff simulationPercent ImperviousnessTerrSet

作者：

Asad Hussain MUHAMMAD、Waseem MUHAMMAD、Ajmal MUHAMMAD、Atiq Ur Rehman Tariq MUHAMMAD、Jiaqing XIAO、Tao YANG、Pengfei SHI

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作者单位：

Institute for Disaster Risk Management,School of Geographical Science,Nanjing University of Information Science and Technology,Nanjing 210044,China

Centre of Excellence in Water Resources Engineering,University of Engineering and Technology,Lahore 54890,Pakistan

The National Key Laboratory of Water Disaster Prevention,Hohai University,Nanjing 210098,China

Yangtze Institute for Conservation and Development,Hohai University,Nanjing 210098,China

College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China

Department of Agricultural Engineering,Faculty of Civil,Agricultural and Mining Engineering,University of Engineering and Technology,Peshawar 25120,Pakistan

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出版年：

2024

DOI：

10.1007/s11430-024-1384-8

中国科学:地球科学(英文版)

中国科学院

中国科学:地球科学(英文版)

影响因子：1.002

ISSN：1674-7313

年,卷(期)：2024.67(10)