• Title/Summary/Keyword: MODSIM-DSS

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Assessment of Agricultural Water Supply Capacity Using MODSIM-DSS Coupled with SWAT (SWAT과 MODSIM-DSS 모형을 연계한 금강유역의 농업용수 공급능력 평가)

  • Ahn, So Ra;Park, Geun Ae;Kim, Seong Joon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.2
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    • pp.507-519
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    • 2013
  • This study is to evaluate agricultural water supply capacity in Geum river basin (9,865 $km^2$), one of the 5 big river basin of South Korea using MODSIM-DSS (MODified SIMyld-Decision Support System) model. The model is a generalized river basin decision support system and network flow model developed at Colorado State University designed specifically to meet the growing demands and pressures on river basin management. The model was established by dividing the basin into 14 subbasins and the irrigation facilities viz. agricultural reservoirs, pumping stations, diversions, culverts and groundwater wells were grouped and networked within each subbasin and networked between subbasins including municipal and industrial water supplies. To prepare the inflows to agricultural reservoirs and multipurpose dams, the Soil and Water Assessment Tool (SWAT) was calibrated using 6 years (2005-2010) observed dam inflow and storage data. By MODSIM run for 8 years from 2004 to 2011, the agricultural water shortage had occurred during the drought years of 2006, 2008, and 2009. The agricultural water shortage could be calculated as 282 $10^6m^3$, 286 $10^6m^3$, and 329 $10^6m^3$ respectively.

Methodology for assessment and forecast of drought severity based on the water balance analysis (물수지 분석에 기반한 가뭄 심각도 평가 및 예측 방법)

  • Jang, Ock-Jae;Moon, Young-Il;Moon, Hyeon-Tae
    • Journal of Korea Water Resources Association
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    • v.54 no.4
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    • pp.241-254
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    • 2021
  • Drought is a natural disaster which is hard to recognize its onset and termination and to estimate the damage from the events which occurred in the past and are expected in near future. While the drought indices or their frequencies are widely applied to explain the severity of each event in the existing studies, decision-makers and stakeholders (the public) may have trouble in understanding the results due to the unfamiliar expression with statistical values. In this study, therefore, the methodology for assessment and forecast of drought severity based on the amount of water shortage from the water balance analysis was be placed at the center of the discussion. Firstly, in order to improve the existing analysis for drought assessment adopted in the National Water Resources Plan, alternative methods have been suggested to estimate the amount of water demand in each sub-basin using the land use map, and in an aspect of water supply, reservoirs and underground water are included in the simulation of MODSIM-DSS. The relationship between drought severity from the simulated water shortage in the study area and the values of SPEIs (SPEI 6 = estimated for 6 months - winter and spring season, SPEI 3 = estimated for 3 months - summer season) has been analyzed by the Decision tree. Due to this achievement, at the end of the spring season, every year the forecast for the drought severity will be available with the quantitatively estimated water shortage, and it will be helpful to activate the drought mitigation measures before the disaster occurs.