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Application of 'abcd' monthly water balance model for Kalu Ganga and Gin Ganga basins and its application potential for water resources investigation

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dc.contributor.advisor Rajapakse, RLHL
dc.contributor.author Gunasekara, DN
dc.date.accessioned 2019-03-27T02:28:24Z
dc.date.available 2019-03-27T02:28:24Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14106
dc.description.abstract Only a limited number of mathematical models have been developed currently in Sri Lanka for water resources management purposes in Kalu and Gin River basins which predominantly provide water for the water supply schemes, irrigation and mini hydropower schemes. The developed models contain either a large number of parameters which increase the model complexity or less number of parameters which increase the amount of details in a parameter thus compromising the simulation accuracy. Based on available case studies, it is sufficient to have three to five parameters to reproduce most of the information in a hydrological record in monthly models for humid regions. Therefore, the “abcd” model which is a monthly lump hydrological model with four parameters was selected for the present research for the investigation of water resources in Kalu and Gin river basins considering Ellagawa and Thawalama sub catchments. For the corresponding watersheds, precipitation, streamflow and evaporation data were collected for the past 30 years and checked by visual comparison, single and double mass curve analysis and annual water balance budget to ensure data reliability, consistency and to identify suitable data periods for model calibration and validation. For Gin River, a 25 years data period was used, while 20 years of data were selected for Kalu River basin. For the model evaluation, Mean Ratio of Absolute Error (MRAE) was used as the objective function while Nash Sutcliff Efficiency coefficient was used for the comparison purposes. In addition, visual inspection of flow simulation with respect to the observed flow, annual water balance and flow duration curves were used for the model performance evaluation. The optimized a, b, c, and d parameters for Thawalama and Ellagawa watersheds are 0.961, 1066, 0.003, 0.813 and 0.998, 1644, 0.013, 0.741, respectively. The MRAE for the calibration of Thawalama and Ellagawa watersheds are 0.21 and 0.26, respectively while obtaining 0.23 and 0.43 for the validation which show satisfactory results. In both watersheds, low flows have been slightly over estimated while very high flows have been underestimated. But a balanced distribution of simulated flow results can be observed in intermediate flows. Comparatively high dispersion of simulation results can be observed in Ellagawa watershed than Thawalama watershed. In case of parameter sensitivity, parameter “a” and “b” are the most sensitive while parameter “d” is having the lowest sensitivity. As model outputs, monthly and annual variation of groundwater discharge, direct runoff, soil moisture storage and groundwater storage of the watersheds were obtained. For the overall discharge of both watersheds, the contribution from groundwater is very low. Therefore, the “abcd” hydrologic model can be recommended to use for streamflow simulations and water resources investigations in monthly temporal resolution for the watersheds which are having similar characteristics with parameter values in the ranges of a (0.961-0.998), b (1066-1644), c (0.003-0.013) and d (0.813-0.741). Key words: ‘abcd’ model, monthly water en_US
dc.language.iso en en_US
dc.subject CIVIL ENGINEERING-Thesis en_US
dc.subject WATER RESOURCES ENGINEERING AND MANAGEMENT-Thesis en_US
dc.subject WATER RESOURCES MANAGEMENT-Sri Lanka en_US
dc.subject RIVER BASINS-Sri Lanka en_US
dc.subject MONTHLY WATER BALANCE MODELS
dc.subject WATER RESOURCES INVESTIGATION
dc.title Application of 'abcd' monthly water balance model for Kalu Ganga and Gin Ganga basins and its application potential for water resources investigation en_US
dc.type Thesis-Full-text
dc.identifier.faculty Engineering en_US
dc.identifier.degree Master of Science in Water Resources Engineering and Management en_US
dc.identifier.department Department of Civil Engineering en_US
dc.date.accept 2018-05
dc.identifier.accno TH3656 en_US


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