SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Comparison of projection in meteorological and hydrological droughts in the Cheongmicheon watershed for RCP4.5 and SSP2-4.5 
Authors:Kim, J.H., J.H. Sung, E.-S. Chung, S.U. Kim, M. Son and M.S. Shiru 
Year:2021 
Journal:Sustainability 
Volume (Issue):13(4) 
Pages: 
Article ID:2066 
DOI:10.3390/su13042066 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:drought assessment 
Secondary Application Category:climate change 
Watershed Description:595.13 km^2 Cheongmicheon River, a tributary of the Han River located in South Korea. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Due to the recent appearance of shares socioeconomic pathway (SSP) scenarios, there have been many studies that compare the results between Coupled Model Intercomparison Project (CMIP)5 and CMIP6 general circulation models (GCMs). This study attempted to project future drought characteristics in the Cheongmicheon watershed using SSP2-4.5 of Australian Community Climate and Earth System Simulator-coupled model (ACCESS-CM2) in addition to Representative Concentration Pathway (RCP) 4.5 of ACCESS 1-3 of the same institute. The historical precipitation and temperature data of ACCESS-CM2 were generated better than those of ACCESS 1-3. Two meteorological drought indices, namely, Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) were used to project meteorological drought while a hydrological drought index, Standardized Streamflow Index (SDI), was used to project the hydrological drought characteristics. The metrological data of GCMs were bias-corrected using quantile mapping method and the streamflow was obtained using Soil and Water Assessment Tool (SWAT) and bias-corrected meteorological data. As a result, there were large differences of drought occurrences and severities between RCP4.5 and SSP2-4.5 for the values of SPI, SPEI, and SDI. The differences in the minimum values of drought index between near (2021–2060) and far futures (2061–2100) were very small in SSP2-4.5, while those in RCP4.5 were very large. In addition, the longest drought period from SDI was the largest because the variation in precipitation usually affects the streamflow with a lag. Therefore, it was concluded that it is important to consider both CMIP5 and CMIP6 GCMs in establishing the drought countermeasures for the future period. 
Language:English 
Keywords:drought; SDI; shared socioeconomic pathway; SPEI; SPI