Economic-Engineering Optimization for California Water Management

Draper, Andrew J.; Jenkins, Marion W.; Kirby, Kenneth W.; Lund, Jay R.; Howitt, Richard E.

doi:10.1061/(asce)0733-9496(2003)129:3(155)

Cited by 272 publications

(210 citation statements)

References 6 publications

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“…[8] Groundwater can offset surface water shortages during a drought; aquifers may be managed analogously to surface reservoirs for the storage and withdrawal of water [e.g., Draper et al, 2003]. However, groundwater was not included in the suite of ADI variables for three reasons: (1) Historic groundwater heights prior to human disturbances are typically unknown; (2) groundwater flow between distinct, heterogeneous aquifers across sizeable climate divisions is difficult to assess; and (3) groundwater response to drought may be asynchronous with other ADI variables; groundwater recharge/depletion commonly occurs at a timescale of weeks to years, which extends beyond the ADI time step of 1 month.…”

Section: Adi Constituentsmentioning

confidence: 99%

An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage

Keyantash

Dracup

2004

Water Resources Research

290

139

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[1] An aggregate drought index (ADI) has been developed, and evaluated within three diverse climate divisions in California. The ADI comprehensively considers all physical forms of drought (meteorological, hydrological, and agricultural) through selection of variables that are related to each drought type. Water stored in large surface water reservoirs was also included. Hydroclimatic monthly data for each climate division underwent correlation-based principal component analysis (PCA), and the first principal component was deseasonalized to arrive at a single ADI value for each month. ADI time series were compared against the Palmer Drought Severity Index (PDSI) to describe two important droughts in California, the 1976-1977 and 1987-1992 events, from a hydroclimatological perspective. The ADI methodology provides a clear, objective approach for describing the intensity of drought and can be readily adapted to characterize drought on an operational basis.

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Section: Adi Constituentsmentioning

confidence: 99%

An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage

Keyantash

Dracup

2004

Water Resources Research

290

139

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“…Wolfgang et al, 2009). As a result of inflow variability and uncertain predictability, the MSWV is expected to increase when compared to the MSWV obtained in the configuration of the present work (Draper et al, 2003;François, 2013). MSWV signatures obtained for an uncertain future are also potentially very informative with regard to how an operational strategy is organized, what its key features are and how it could change should the climate or demand change, or both together.…”

Section: Discussionmentioning

confidence: 55%

Seasonal patterns of water storage as signatures of the climatological equilibrium between resource and demand

François

Hingray

Hendrickx

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Water is accumulated in reservoirs to adapt in time the availability of the resource to various demands like hydropower production, irrigation, water supply or ecological constraints. Deterministic dynamic programming retrospectively optimizes the use of the resource during a given time period. One of its by-products is the estimation of the marginal storage water value (MSWV), defined by the marginal value of the future goods and benefits obtained from an additional unit of storage water volume. Knowledge of the MSWV makes it possible to determine a posteriori the storage requirement scheme that would have led to the best equilibrium between the resource and the demand. The MSWV depends on the water level in the reservoir and shows seasonal as well as inter-annual variations. This study uses the inter-annual average of both the storage requirement scheme and the MSWV cycle as signatures of the best temporal equilibrium that is achievable in a given resource/demand context (the climatological equilibrium). For a simplified water resource system in a French mountainous region, we characterize how and why these signatures change should the climate and/or the demand change, mainly if changes are projected in the mean regional temperature (increase) and/or precipitation (decrease) as well as in the water demand for energy production and/or maintenance of a minimum reservoir level.Results show that the temporal equilibrium between water resource and demand either improves or degrades depending on the considered future scenario. In all scenarios, the seasonality of MSWV changes when, for example, earlier water storage is required to efficiently satisfy increasing summer water demand. Finally, understanding how MSWV signatures change helps to understand changes in the storage requirement scheme.

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“…Later applications include studies of systems in California, Florida, and Panama (Draper et al, 2003;Watkins et al, 2004). HEC-PRM is a network flow programming model designed for prescriptive applications involving minimization of a cost based objective function.…”

Section: Models Developed By Federal Agencies In the United Statesmentioning

confidence: 99%

Generalized Models of River System Development and Management

Wurbs¹

2011

Current Issues of Water Management

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Economic-Engineering Optimization for California Water Management

Cited by 272 publications

References 6 publications

An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage

An aggregate drought index: Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage

Seasonal patterns of water storage as signatures of the climatological equilibrium between resource and demand

Generalized Models of River System Development and Management

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