Rainfall-Runoff and Water-Balance Models for Management of the Fena Valley Reservoir, Guam

Yeung, Chiu W.

doi:10.3133/sir20045287

Cited by 8 publications

(18 citation statements)

References 3 publications

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“…Most physically based models cannot fully account for the complexity and heterogeneity of processes occurring in the watershed (Yeung, 2005). The accuracy of the model calibration is dependent on the accuracy of the input data.…”

Section: Discussionmentioning

confidence: 99%

Streamflow sensitivity to climate and land cover changes: Meki River, Ethiopia

Legesse

Abiye²,

Vallet‐Coulomb³

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Impacts of climate and land cover changes on streamflow were assessed using a hydrological modeling. The precipitation runoff modeling system of the US Geological Survey was modified in order to consider wetlands as a separate hydrological response unit. Initial model parameters were obtained from a previously modeled adjacent catchment and subsequent calibration and validation were carried out. The model calibration and validation periods were divided into three. The calibration period was a five years period (1981)(1982)(1983)(1984)(1985)(1986)). The validation period was divided into two: validation 1 (1986-1991) and validation 2 (1996-2002). Model performance was evaluated by using joint plots of daily and monthly observed and simulated runoff hydrographs and different coefficients of efficiency. The model coefficients of efficiency were 0.71 for the calibration period and 0.69 and 0.66 for validation periods 1 and 2, respectively. A "delta-change" method was used to formulate climatic scenarios. One land cover change scenario was also used to assess the likely impacts of these changes on the runoff. The results of the scenario analysis showed that the basin is more sensitive to increase in rainfall (+80% for +20%) than to a decrease (−62% for −20%). The rainfall elasticity is 4:1 for a 20% increase in rainfall while it is 3:1 for a 20% reduction. A 1.5 • c increase in temperature resulted in a 6% increase in potential evapotranspiration and 13% decrease in streamflow. This indicates that the watershed is more elastic to rainfall increase than temperature. The proposed land cover scenario of converting areas between 2000 to 3000 m a.s.l. to woodland also resulted in a significant decrease in streamflow (11.8%). The study showed that properly calibrated and validated models could help understand likely impacts of climate and land cover changes on catchment water balance.

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Section: Discussionmentioning

confidence: 99%

Streamflow sensitivity to climate and land cover changes: Meki River, Ethiopia

Legesse

Abiye²,

Vallet‐Coulomb³

et al. 2010

Hydrol. Earth Syst. Sci.

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“…The PRMS_2004 model for the Fena Valley watershed (Yeung, 2004) was updated and expanded to include all of southern Guam. The updated version of the USGS PRMS-IV model code (Markstrom and others, 2015), was used to construct the PRMS_2016 model.…”

Section: Precipitation-runoff Modeling System IVmentioning

confidence: 99%

“…The PRMS_1994 model used pan-evaporation data to estimate PET because of the availability of pan-evaporation data for the duration of the modeled period (Nakama, 1994). However, the PRMS_2004 model used one of the empirical methods in PRMS that estimates PET using minimum and maximum air temperature and possible hours of sunshine, the Hamon (1961) method (Yeung, 2004). For the PRMS_2016 model, the Jensen and Haise method (1963) was used to estimate PET.…”

Section: Evaporation and Solar Radiation Datamentioning

confidence: 99%

“…2). In 2004, as a result of the availability and improvement of physiographic and climate data, the watershed model and generalized reservoir water-balance model were updated by Yeung (2004) to address limitations identified in the PRMS_1994 model (Nakama, 1994). The calibrated watershed model of the Fena Valley watershed (Yeung, 2004)-from here on referred to as PRMS_2004-and a water-balance model of the FVRfrom here on referred to as FVR_2004-were used by the USGS to provide quarterly projections of water availability for the reservoir for the upcoming 12 months to the Navy Public Works Center on Guam.…”

Section: Introductionmentioning

confidence: 99%

“…One of the major tasks of that study was to update the PRMS_2004 model and FVR_2004 water-balance model for the FVR (Yeung, 2004) and expand the watershed model to all of southern Guam, using new data on the FVR storage-capacity (Marineau and Wright, 2015) and the latest version of PRMS, PRMS-IV (Markstrom and others, 2015). These new models are documented in this report.…”

Section: Introductionmentioning

confidence: 99%

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Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to southern Guam

Rosa¹,

Hay²

2019

Scientific Investigations Report

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For an overview of USGS information products, including maps, imagery, and publications, visit https://store.usgs.gov.Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.

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Seasonal change of soil moisture in Mongolia: its climatology and modelling

Nandintsetseg

Shinoda

2011

Intl Journal of Climatology

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Mongolia has an arid and cold climate due to its geographical settings of inland and mid-latitude highlands. The soil moisture varies seasonally, depending mainly on the balance of precipitation and evapotranspiration as well as on winter soil-freezing and spring snowmelt. Soil moisture climatology (1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005) for Mongolia is presented with a focus on three vegetation zones: the forest steppe, steppe, and Gobi Desert. For this purpose, we used soil moisture observations based on the gravimetric method for the top 50-cm soil layer from 26 grass-covered field sites during April-October of the 20-year period. In general, there was a latitudinal gradient in soil moisture content, with the southwestern soils being drier than northeastern soils. The seasonal change in soil moisture was small and the seasonal pattern was similar throughout Mongolia. The seasonality was characterised by three major phases of the warm season: the spring drying, summer recharge, and autumn drying phases, although each phase differed somewhat in timing and length between zones. In the northernmost forest steppe zone, the recharge phase was longer than that in the southern steppe and Gobi Desert zones, while the two drying phases were shorter in the forest steppe zone. This difference had a significant effect on the plant phenological timings of Stipa spp.; these were earlier in the forest steppe zone and later in the Gobi Desert zone. A simple water balance model was developed to examine the observed soil moisture dynamics, which implicitly simulated snow accumulation and soil freezing. The model simulated the observed seasonal and inter-annual soil moisture variations reasonably well (r = 0.75, p < 0.05). The results demonstrated that the three phases of seasonal change were produced by a subtle balance between precipitation and evapotranspiration. This model will provide a useful tool for a reliable and timely monitoring of agricultural drought for decision-makers and herders in Mongolia.

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Rainfall-Runoff and Water-Balance Models for Management of the Fena Valley Reservoir, Guam

Cited by 8 publications

References 3 publications

Streamflow sensitivity to climate and land cover changes: Meki River, Ethiopia

Streamflow sensitivity to climate and land cover changes: Meki River, Ethiopia

Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to southern Guam

Seasonal change of soil moisture in Mongolia: its climatology and modelling

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