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Try Sophal

Try Sophal

Kyoto University - Kyoto / Japan
Engineering & Technology / Civil Engineering
AD Scientific Index ID: 4521749
京都大学
person_outline Try Sophal's MOST POPULAR ARTICLES
1-) Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin PLoS One 15 (1), e0226814, 2020
2-) Comparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basin Journal of Hydrology: Regional Studies 40, 101035, 2022
3-) Tonle Sap Lake: Current status and important research directions for environmental management Lakes & Reservoirs: Research & Management 23 (3), 177-189, 2018
4-) Large-scale flood-inundation modeling in the Mekong River Basin Journal of Hydrologic Engineering 23 (7), 05018011, 2018
5-) Assessing the effects of climate change on flood inundation in the lower Mekong Basin using high-resolution AGCM outputs Progress in Earth and Planetary Science 7 (1), 34, 2020