Improving Performance of Irrigation/Hydro Projects

Faux, John C.; Labadie, John W.; Lazaro, Rogelio C.

doi:10.1061/(asce)0733-9496(1986)112:2(205)

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…A network is essentially a collection of nodes connected by links or arcs. Operating priorities are based on user-specified target storage levels and relative priorities among demands and reservoirs (Faux et al 1986). The links and nodes in MODSIM not only represent the physical components of a river basin system but also can be used to symbolize artificial and conceptual elements for modeling the complex administrative and legal mechanisms governing water allocation.…”

Section: Modsim Model Descriptionmentioning

confidence: 99%

“…From planning to the management of water resources in complicated river networks, MODSIM was developed to effectively allocate available water resources in response to increasing demands for water. MODSIM has been successfully applied to several complex river basins, including the Rio Grande River basin in Colorado in the United States (Graham et al 1986), the upper Colorado River basin in the United States (Law and Brown 1989), the Pampanga River basin in the Philippines (Faux et al 1986), the Gunnison River basin in Colorado in the United States (Weiss et al 1997), the South Platte River basin in Colorado in the United States (Fredericks et al 1998), the lower Nile River basin in Egypt (El-Beshri and Labadie 1994), the Piracicaba River basin in Brazil (Azevedo et al 2000) and the Snake River basin in the United States (Miller et al 2003). However, most of these studies focused on water supplies using a water balance analysis; only a few studies investigated agricultural water supplies.…”

Section: Introductionmentioning

confidence: 99%

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Assessing drought threats to agricultural water supplies under climate change by combining the SWAT and MODSIM models for the Geum River basin, South Korea

Ahn

Jeong

Kim

2016

Hydrological Sciences Journal

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The impacts of future climate change on the agricultural water supply capacities of irrigation facilities in the Geum River basin (9645.5 km 2) of South Korea were investigated using an integrated modeling framework that included a water balance network model (MODSIM) and a watershed-scale hydrologic model (Soil and Water Assessment Tool, SWAT). The discharges and baseflows from upland drainage areas were estimated using SWAT, and the predicted flow was used to feed agricultural reservoirs and multipurpose dams in subwatersheds. Using a split sampling method, we calibrated the daily streamflows and dam inflows at three locations using data from 6 years, including 3 years of calibration data (2005-2007) followed by 3 years of validation data (2008-2010). In the MODSIM model, the entire basin was divided into 14 subwatersheds in which various agricultural irrigation facilities such as agricultural reservoirs, pumping stations, diversions, culverts and groundwater wells were defined as a network of hydraulic structures within each subwatershed. These hydraulic networks between subwatersheds were interconnected to allow watershed-scale analysis and were further connected to municipal and industrial water supplies under various hydrologic conditions. Projected climate data from the HadGEM3-RA RCP 4.5 and 8.5 scenarios for the period of 2006-2099 were imported to SWAT to calculate the water yield, and the output was transferred to MODSIM in the form of time-series boundary conditions. The maximum shortage rate of agricultural water was estimated as 38.2% for the 2040s and 2080s under the RCP 4.5 scenario but was lower under the RCP 8.5 scenario (21.3% in the 2040s and 22.1% in the 2080s). Under the RCP 4.5 scenario, the projected shortage rate was higher than that during the measured baseline period (1982-2011) of 25.6% and the RCP historical period (1982-2005) of 30.1%. The future elevated drought levels are primarily attributed to the increasingly concentrated rainfall distribution throughout the year under a monsoonal climate, as projected by the IPCC climate scenarios.

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Section: Modsim Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing drought threats to agricultural water supplies under climate change by combining the SWAT and MODSIM models for the Geum River basin, South Korea

Ahn

Jeong

Kim

2016

Hydrological Sciences Journal

View full text Add to dashboard Cite

show abstract

“…They allow evaluation of hydrologic, economic, environmental and institutional/legal impacts as related to alternative development and management scenarios. (Faux et al 1986;Law & Brown 1989;Fredericks et al 1998;Leu 2001;Stillwater 2003).…”

Section: Introductionmentioning

confidence: 99%