CalSim: Generalized Model for Reservoir System Analysis

Draper, Andrew J.; Munévar, Armin; Arora, Sushil; Reyes, Erik; Parker, Nancy; Chung, Francis I.; Peterson, Lloyd E.

doi:10.1061/(asce)0733-9496(2004)130:6(480)

Cited by 129 publications

(99 citation statements)

References 12 publications

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“…This estimate was developed using a reservoir system operations model (Draper et al, 2004) and assumes a 2011 level of development for an 82-year hydrologic sequence (1922 to 2003). The current long-term annual average water supply of 51.6 billion m 3 yr −1 estimated by CDWR (2012) exceeds the natural water supply in our analysis by 1.5 billion m 3 yr −1 due to (1) groundwater overdraft of 0.9 billion m 3 yr −1 in the Sacramento and San Joaquin basins and (2) Sacramento River Basin imports of 0.6 billion m 3 yr −1 from the US Bureau of Reclamation Trinity River Diversion Project, a project that transfers water from Lewiston Reservoir through the Clear Creek Tunnel to the Sacramento River (CDWR, 2012).…”

Section: Resultsmentioning

confidence: 99%

“…These three estimates of delta outflow -natural, current and unimpaired -were estimated using a synthetic multi-year hydrologic sequence utilizing a level of development approach (Draper et al, 2004). This method routes the same amount of water (rim inflows plus precipitation) over a defined historical period assuming frozen conditions such as land use, flood control and water supply facility operations, and environmental regulations.…”

Section: Level Of Development Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Reconstructing the natural hydrology of the San Francisco Bay–Delta watershed

Fox¹,

Hutton²,

Howes

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract.We evaluated the impact of landscape changes on the amount of delta outflow reaching San Francisco Bay. The natural landscape was reconstructed and water balances were used to estimate the long-term annual average delta outflow that would have occurred under natural landscape conditions if the climate from 1922 to 2009 were to repeat itself. These outflows are referred to as natural delta outflows and are the first published estimate of natural delta outflow. These natural delta outflows were then compared with current delta outflows for the same climate and existing landscape, including its re-engineered system of reservoirs, canals, aqueducts, and pumping plants.This analysis shows that the long-term, annual average delta outflow under current conditions is consistent with outflow under natural landscape conditions. The amount of water currently used by farms, cities, and others is about equal to the amount of water formerly used by native vegetation. Development of water resources in California's Central Valley transferred water formerly used by native vegetation to new beneficial uses without substantially reducing the longterm annual average supply to the San Francisco Bay-Delta estuary. Based on this finding, it is unlikely that observed declines in native freshwater aquatic species are the result of annual average delta outflow reductions.

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Section: Resultsmentioning

confidence: 99%

Section: Level Of Development Methodologymentioning

confidence: 99%

Reconstructing the natural hydrology of the San Francisco Bay–Delta watershed

Fox¹,

Hutton²,

Howes

et al. 2015

Hydrol. Earth Syst. Sci.

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show abstract

“…The proposed agro-hydrological spate irrigation system integrated simulation model uses three linked sub-models: a water allocation simulator, a soil moisture and crop yield model, and a crop choice model. The first is a conventional optimisation-driven water allocation simulator which allows representing water sharing arrangements in a generic way [26]. The simulator allocates flood inflow volumes to the major diversion points (weirs in our case) based on analyst-defined distribution priorities.…”

Section: Methodsmentioning

confidence: 99%

Simulating Water Allocation and Cropping Decisions in Yemen’s Abyan Delta Spate Irrigation System

Marchant

Peña

Tamas

et al. 2018

Water

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Agriculture employs more Yemenis than any other sector and spate irrigation is the largest source of irrigation water. Spate irrigation however is growing increasingly difficult to sustain in many areas due to water scarcity and unclear sharing of water amongst users. In some areas of Yemen, there are no institutionalised water allocation rules which can lead to water related disputes. Here, we propose a proof-of-concept model to evaluate the impacts of different water allocation patterns to assist in devising allocation rules. The integrated model links simple wadi flow, diversion, and soil moisture-yield simulators to a crop decision model to evaluate impacts of different water allocation rules and their possible implications on local agriculture using preliminary literature data. The crop choice model is an agricultural production model of irrigation command areas where the timing, irrigated area and crop mix is decided each month based on current conditions and expected allocations. The model is applied to Yemen's Abyan Delta, which has the potential to be the most agriculturally productive region in the country. The water allocation scenarios analysed include upstream priority, downstream priority, equal priority (equal sharing of water shortages), and a user-defined mixed priority that gives precedence to different locations based on the season. Once water is distributed according to one of these allocation patterns, the model determines the profit-maximising plant date and crop selection for 18 irrigated command areas. This aims to estimate the impacts different water allocation strategies could have on livelihoods. Initial results show an equal priority allocation is the most equitable and efficient, with 8% more net benefits than an upstream scenario, 10% more net benefits than a downstream scenario, and 25% more net benefits than a mixed priority.

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“…Numerous statewide water management models have already been developed to determine optimum surface water and groundwater allocations given different management objectives. Model drivers included economic considerations (Jenkins et al 2001); water supply allocation and storage priorities (Draper et al 2004); human and environmental water demands (Yates et al 2005); and historical surface water, land use, and water diversions [California Central Valley GroundwaterSurface Water Simulation Model (C2VSim) ;Brush et al 2013]. These models typically require either a high number of inputs or parameters.…”

Section: Global and California Reservoir Modelingmentioning

confidence: 99%

Simulating Human Water Regulation: The Development of an Optimal Complexity, Climate-Adaptive Reservoir Management Model for an LSM

Solander

Reager

Thomas

et al. 2016

Journal of Hydrometeorology

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The widespread influence of reservoirs on global rivers makes representations of reservoir outflow and storage essential components of large-scale hydrology and climate simulations across the land surface and atmosphere. Yet, reservoirs have yet to be commonly integrated into earth system models. This deficiency influences model processes such as evaporation and runoff, which are critical for accurate simulations of the coupled climate system. This study describes the development of a generalized reservoir model capable of reproducing realistic reservoir behavior for future integration in a global land surface model (LSM). Equations of increasing complexity relating reservoir inflow, outflow, and storage were tested for 14 California reservoirs that span a range of spatial and climate regimes. Temperature was employed in model equations to modulate seasonal changes in reservoir management behavior and to allow for the evolution of management seasonality as future climate varies. Optimized parameter values for the best-performing model were generalized based on the ratio of winter inflow to storage capacity so a future LSM user can generate reservoirs in any grid location by specifying the given storage capacity. Model performance statistics show good agreement between observed and simulated reservoir storage and outflow for both calibration (mean normalized RMSE 5 0.48; mean coefficient of determination 5 0.53) and validation reservoirs (mean normalized RMSE 5 0.15; mean coefficient of determination 5 0.67). The low complexity of model equations that include climate-adaptive operation features combined with robust model performance show promise for simulations of reservoir impacts on hydrology and climate within an LSM.

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CalSim: Generalized Model for Reservoir System Analysis

Cited by 129 publications

References 12 publications

Reconstructing the natural hydrology of the San Francisco Bay–Delta watershed

Reconstructing the natural hydrology of the San Francisco Bay–Delta watershed

Simulating Water Allocation and Cropping Decisions in Yemen’s Abyan Delta Spate Irrigation System

Simulating Human Water Regulation: The Development of an Optimal Complexity, Climate-Adaptive Reservoir Management Model for an LSM

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