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Study on climate elasticity of runoff in Kirindi oya and Maduru oya basins in Sri Lanka

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dc.contributor.author Uthpala, A
dc.contributor.author Rajapakse, L
dc.contributor.editor Rathnayake, M
dc.contributor.editor Adhikariwatte, V
dc.contributor.editor Hemachandra, K
dc.date.accessioned 2022-11-01T06:54:55Z
dc.date.available 2022-11-01T06:54:55Z
dc.date.issued 2022-07
dc.identifier.citation A. Uthpala and L. Rajapakse, "Study on Climate Elasticity of Runoff in Kirindi Oya and Maduru Oya Basins in Sri Lanka," 2022 Moratuwa Engineering Research Conference (MERCon), 2022, pp. 1-6, doi: 10.1109/MERCon55799.2022.9906155. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19368
dc.description.abstract Water management decisions commonly depend on long-term precipitation trends, however, they are also affected by monthly to seasonal runoff variability and climate change impacts. A review summarizing the findings related to climate change impacts on runoff in the dry zone is carried out and presented in this article. This study is based on the climate elasticity of runoff in Kirindi Oya and Maduru Oya basins. Water scarcity as well as unpredictably of high-intensity rainfall events affect basin runoff generation. This paper used the HECHMS model to analyse the basin response and non-parametric estimation of the elasticity of climate parameters to runoff for ensuring reliable future predictions using available limited data sources. Hypothetical climate change scenarios have been used to study the relationship between runoff and climatic variables by comparing the change in runoff over a period for each parameter. The resulting analysis will provide further insights into the relative benefits of investments toward improving runoff monitoring versus improved climate forecasting. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9906155/ en_US
dc.subject Dry zone basin en_US
dc.subject HEC-HMS en_US
dc.subject Runoff modelling en_US
dc.title Study on climate elasticity of runoff in Kirindi oya and Maduru oya basins in Sri Lanka en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, University of Moratuwa en_US
dc.identifier.year 2022 en_US
dc.identifier.conference Moratuwa Engineering Research Conference 2022 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.proceeding Proceedings of Moratuwa Engineering Research Conference 2022 en_US
dc.identifier.email ayeshuthpala96@gmail.com
dc.identifier.email lalith@uom.lk
dc.identifier.doi 10.1109/MERCon55799.2022.9906155 en_US


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