Assessing the Implication of Climate Change to Forecast Future Flood Using SWAT and HEC-RAS Model under CMIP5 Climate Projection in Upper Nan Watershed, Thailand

Muhammad Chrisna Satriagasa, Piyapong Tongdeenok () and Naruemol Kaewjampa
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Muhammad Chrisna Satriagasa: Watershed Management and Environment Program, Faculty of Forestry, Kasetsart University, Bangkok 10900, Thailand
Piyapong Tongdeenok: Watershed Management and Environment Program, Faculty of Forestry, Kasetsart University, Bangkok 10900, Thailand
Naruemol Kaewjampa: Watershed Management and Environment Program, Faculty of Forestry, Kasetsart University, Bangkok 10900, Thailand

Sustainability, 2023, vol. 15, issue 6, 1-21

Abstract: Climate change will affect Southeast Asian countries, particularly Thailand. There are still insufficient studies on rainfall, streamflow, and future floods in the Upper Nan Watershed, northern Thailand. This study examined how future climate change will affect the rainfall, streamflow, and flooding in the Upper Nan Watershed. SWAT and HEC-RAS models were utilized to assess the future streamflow and flooding in this area. The models used data from 1980–2020, which were taken from seven Upper Nan meteorological stations and two discharge stations. In this study, the impact of future climate change was predicted using three GCMs, under RCP4.5 and RCP8.5 scenarios. The historical data analyzed in this study indicated that rainfall in the study area has a positive trend. Climate change will increase further, from 18% to 19%, which will cause more fluctuations and lead to wetter conditions, both in the wet and dry seasons. Climate change delayed the hydrograph peak and the SWAT-modelled streamflow in the N1 and N64 stations by between 0.3% and 5.1%. RCP8.5 inundated all of the stations more than RCP4.5. Our models showed that in the medium future (2041–2060), the inundated area will be similar to that during the 100-year flood probability. Thus, monitoring and preparation are necessary to avoid repeating the considerable 2011 flood losses in Thailand.

Keywords: climate change; flood assessment; HEC-RAS model; rainfall assessment; SWAT model; Upper Nan Watershed (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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