Spatial Dynamic Optimization of Groundwater Use with Ecological Standards for Instream Flow

Speir, Cameron; Han, Jae J.; Brozović, Nicholas

doi:10.1142/s2382624x16500132

Cited by 5 publications

(6 citation statements)

References 27 publications

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“…The hydrological connectivity of the reservoirs is characterized by the presence of a fluvial flow throughout the whole path of the river between the reservoir and the downstream mouth, whether it is a mouth, a river (affluence), or a new reservoir. In order to possibly acknowledge that the reach was connected, the flow rate could not be lower than a minimum reference flow rate (Speir et al, 2016). A minimum reference flow rate of 1.0 L s -1 is adopted, according to Art.…”

Section: Methodsmentioning

confidence: 99%

“…Hydrological connectivity in channels or rivers has been evaluated by analysis of water flow continuity in their riverbeds. For this purpose, a minimum flow rate index is used to characterize such hydrological connectivity (Brozovic et al, 2011;Fryirs, 2012;López-Vicente et al, 2013;Garbin et al, 2019). This flow can be measured by fluviometric methods, by injection dilution gauging (Burke, 2009) and also by simulations in hydrological models (Döll et al, 2003;Hanasaki et al, 2010;Malveira et al, 2012;Sun et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity of hydrological connectivity in a semiarid basin with a high-density reservoir network

Toledo

Alcântara

2019

Rev. ambiente água

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Water reservoirs, in general, have been considered to be the major cause of reduction of downstream hydrological connectivity in channels. Therefore, this study analyzed the sensitivity of hydrological connectivity in the Orós Reservoir hydrographic basin by using the ResNet model, designed to simulate the processes involved in fluvial hydrological connectivity in environments with a high density of reservoirs. The analysis of hydrological connectivity was performed with the model ResNetM, which simulated hydrological processes and considered hydrological connectivity between the reservoirs, according to the criteria established in this research. To identify the main elements that affect hydrological connectivity, sensitivity analysis (SI) was performed of some input parameters of the model. The sensitivity analysis indicated that the modification of the topology of the reservoir network was the variable that presented the highest sensitivity to hydrological connectivity, with a sensitivity value of 1.07, followed by the runoff coefficient, which obtained a sensitivity of 0.8. The modification of the rainfall and of the reservoir storage capacity, showed an intermediate sensitivity, with values of 0.46 and 0.45, respectively. On the other hand, the parameters of potential evaporation and transmission loss showed the lowest sensitivity, obtaining values of 0.19 and 0.01, respectively. In conclusion, the runoff coefficient and the reservoir network (change in the reservoir number of the network) were the parameters evaluated with the highest sensitivity of hydrological connectivity. Thus, the alteration of the landscape by man provides significant changes in river navigation between the reservoirs in the basin.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity of hydrological connectivity in a semiarid basin with a high-density reservoir network

Toledo

Alcântara

2019

Rev. ambiente água

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“…Similar challenges also exist for surface water irrigation or conjunctive use of both groundwater and surface water. Time lags and spatial redistribution of return flows may alter short‐term availability of water for downstream users (Speir et al, 2016; Velpuri et al, 2020), with negative consequences where timing of water supply is important for these users, such as for freshwater ecosystems that are highly sensitive to intraseasonal flow dynamics (Stewart et al, 2020).…”

Section: Implications For Use Of Satellite Water Use Estimates In Agrmentioning

confidence: 99%

Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy

Foster

Mieno

Brozović

2020

Water Resources Research

109

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Reliable accounting of agricultural water use is critical for sustainable water management. However, the majority of agricultural water use is not monitored, with limited metering of irrigation despite increasing pressure on both groundwater and surface water resources in many agricultural regions worldwide. Satellite remote sensing has been proposed as a low-cost and scalable solution to fill widespread gaps in monitoring of irrigation water use in both developed and developing countries, bypassing the technical, socioeconomic, and political challenges that to date have constrained in situ metering. In this paper, we show through a systematic meta-analysis that the relative accuracy of different satellite-based irrigation water use monitoring approaches remains poorly understood, with evidence of large uncertainties when water use estimates are validated against in situ irrigation data at both field and regional scales. Subsequently, we demonstrate that water use measurement errors result in large economic welfare losses for farmers and may negatively impact ability of policies to limit acute and nonlinear externalities of irrigation abstraction on both the environment and other water users. Our findings highlight that water resource planners must consider the trade-offs between accuracy and costs associated with different water use accounting approaches. Remote sensing has an important role to play in supporting improved agricultural water accounting-both independently and in combination with in situ monitoring. However, greater transparency and evidence is needed about underlying uncertainties in satellite-based models, along with how these measurement errors affect the performance of associated policies to manage different short-and long-term externalities of irrigation water use. Despite the importance of monitoring for water management, the overwhelming majority of agricultural water use worldwide-both from groundwater and surface water-remains unmetered (OECD, 2015). For example, a recent report by the Murray-Darling Basin Commission in Australia highlighted that around 30% of the total surface water abstractions were unmetered (MDMA, 2017), with monitoring gaps of up to 75% in some parts of the basin (Grafton, 2019; Hanemann & Young, 2020). Similarly, estimates from the U.S. Department of Agriculture (USDA, 2019) show only 36% of groundwater irrigation wells in the United States are equipped with flow meters (Figure 1), with large monitoring gaps in states such as California and Texas that have experienced severe aquifer depletion over recent decades (Scanlon et al., 2012). In low-income countries, gaps in agricultural water use accounting are even more pronounced, with almost nonexistence

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“…Specifically, to estimate rates of streamflow depletion caused by groundwater pumping, we use the Glover‐Balmer model (Glover & Balmer, 1954) summarized in Equation below. The Glover‐Balmer model has been widely used in groundwater management research (Kuwayama & Brozović, 2013; Palazzo & Brozović, 2014; Traylor & Zlotnik, 2016) and more widely (Cobourn e al., 2017; Speir et al., 2016; Zipper et al., 2018). However, alternative models could also be adopted with our simulation framework, and we discuss potential limitations of the Glover‐Balmer model in more detail in Section 5:

Q_{d}^{S} = Q^{P} \cdot erfc ((), \sqrt{\frac{r^{2} S}{4 T d}}) = Q^{P} \cdot erfc ((), \sqrt{\frac{F}{4 d}})

where Q S is the streamflow depletion rate (m 3 /day), Q P is the average groundwater pumping rate (m 3 /day), r is the radial distance from the pumping well to the affected stream (m), S is the aquifer storativity (unitless), T is the aquifer transmissivity (m 2 /day), and d is the time (days) since pumping started.…”

Section: Modeling Frameworkmentioning

confidence: 99%

Hydrologic‐Economic Trade‐offs in Groundwater Allocation Policy Design

Young

Foster

Mieno

et al. 2021

Water Resources Research

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Groundwater is an essential source of water supply worldwide, supporting human and environmental needs for water including agricultural, municipal, industrial, and habitat functions. It can be a primary source of water, or a supplementary one that serves to buffer against variability of rainfall or surface water availability in years of drought or scarcity. In either case, however, groundwater pumping can induce a number of negative environmental and social consequences, called externalities, such as depletion of aquifer storage, degradation of hydrologically connected surface water, seawater intrusion, well interference, and land subsidence (Bierkens & Wada, 2019). To curb such externalities, groundwater management agencies increasingly are implementing policies to manage and regulate rates of extraction (Gorelick & Zheng, 2015). Restrictions on groundwater use, called allocations, can and often have been designed with more inter-annual flexibility compared to typical surface water allocations. In the absence of significant built storage infrastructure (e.g., reservoirs), surface water supplies typically are highly variable from year to year (Ho et al., 2017; Pagano & Garen, 2005). Physical limits therefore exist to how much surface water can be diverted for irrigation in any given year in many regions. In contrast, groundwater resources generally respond much more slowly to inter-annual weather variability (Russo & Lall, 2017), providing natural storage that can be drawn down in dry years and recharged in wet years. Such physical differences in the temporal availability of surface water and groundwater have important implications for the design of allocations. In general, surface water allocations or rights in water-scarce regions impose fixed limits on withdrawals in any individual year or season. In contrast, groundwater allocations exhibit much greater heterogeneity in the time periods over which pumping limits are imposed. In some regions, groundwater allocations are imposed as strict annual or seasonal quotas in a manner identical to surface water, in which the allocation binds every year (hereafter referred to as a "hard cap"). Single-year groundwater allocations are observed in a number of agricultural regions within the western Abstract A common environmental externality of groundwater pumping is streamflow depletion. To manage impacts of groundwater pumping on hydrologically connected surface water systems, regulators often impose quotas, or allocations, limiting the rates of groundwater extraction. Allocations vary in their temporal flexibility, ranging from single-year "hard caps" to multi-year "soft caps". Soft cap allocations allow greater flexibility for farmers, the primary users of groundwater, to adjust irrigation rates from one year to another, potentially providing greater resilience to drought but also altering hydrologic impacts of pumping. In this study, we integrate agronomic, economic, and hydrologic models to evaluate optimal irrigation decisions for a range of equivalent hard and soft ...

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Spatial Dynamic Optimization of Groundwater Use with Ecological Standards for Instream Flow

Cited by 5 publications

References 27 publications

Sensitivity of hydrological connectivity in a semiarid basin with a high-density reservoir network

Sensitivity of hydrological connectivity in a semiarid basin with a high-density reservoir network

Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy

Hydrologic‐Economic Trade‐offs in Groundwater Allocation Policy Design

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