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dc.contributor.author Gunasekara, KM
dc.contributor.author Gunawardhana, L
dc.contributor.author Rajapakse, L
dc.date.accessioned 2023-12-18T07:32:28Z
dc.date.available 2023-12-18T07:32:28Z
dc.date.issued 2023-08-28
dc.identifier.citation Gunasekara, K.M., Gunawardhana, L., & Rajapakse, L. (2023). Use of remotely sensed soil moisture data in hydrological modelling. In C.L. Jayawardena (Ed.), International Symposium on Earth Resources Management & Environment – ISERME 2023: Proceedings of the 7th international Symposium on Earth Resources Management & Environment (pp.50-58). Department of Earth Resources Engineering, University of Moratuwa. https://doi.org/10.31705/ISERME.2023.10
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21954
dc.description.abstract Accurate hydrological data is crucial for understanding streamflow changes and predicting extreme events in river basins. By utilising remotely sensed soil moisture products, the estimation of soil moisture distribution at the basin scale in hydrological modelling becomes feasible, addressing practical challenges. This study investigates the integration of remotely sensed soil moisture estimates to enhance the accuracy of hydrological model simulations in the upper Peradeniya catchment, Sri Lanka. A hydrological model (ABCD model) was developed for the catchment area. Soil moisture data from NASA's soil moisture active passive (SMAP L4) were integrated with the model's estimations to improve river flow simulations. The study reveals that the integration of SMAP L4 did not significantly enhance accuracy. However, notable differences in calibrated parameters emerged, highlighting the importance of incorporating multiple inputs for calibration. These findings demonstrate the potential of remotely sensed soil moisture in enhancing hydrological model simulations. Incorporating remotely sensed soil moisture can contribute to more reliable predictions and management of water resources in river basins, aiding in sustainable development and climate change adaptation. en_US
dc.language.iso en en_US
dc.publisher Department of Earth Resources Engineering en_US
dc.subject ABCD model en_US
dc.subject Remote sensing en_US
dc.subject SMAP L4 products en_US
dc.subject Upper Peradeniya catchment en_US
dc.title Use of remotely sensed soil moisture data in hydrological modelling en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Earth Resources Engineering en_US
dc.identifier.year 2023 en_US
dc.identifier.conference International Symposium on Earth Resources Management & Environment - ISERME 2023 en_US
dc.identifier.place Colombo en_US
dc.identifier.pgnos pp. 50-58 en_US
dc.identifier.proceeding Proceedings of the 7th International Symposium on Earth Resources Management & Environment en_US
dc.identifier.email 180206l@uom.lk en_US
dc.identifier.doi https://doi.org/10.31705/ISERME.2023.10 en_US


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