Evaluating Water Transfers from Agriculture for Reducing Critical Habitat Water Shortages in the Platte Basin

Houk, Eric; Frasier, Marshall; Taylor, R. Garth

doi:10.1061/(asce)0733-9496(2007)133:4(320)

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…(e.g., Foti et al, 2014;Briand et al, 2008;Houk et al, 2007;Marques et al, 2006;and Flug and Campbell, 2005;), as well as many countries around the world (e.g., Berhe et al, 2013;Vaghefi et al, 2013;Shourian et al, 2008;Cheong et al, 2010;and de Azevedo, et al, 2000).…”

Section: Automated Construction Of Georeferenced River Basin Networkmentioning

confidence: 99%

Geospatial decision support system for ameliorating adverse impacts of irrigated agriculture on aquatic ecosystems

Fields

Labadie

Rohmat

et al. 2021

Agricultural Water Management

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Section: Automated Construction Of Georeferenced River Basin Networkmentioning

confidence: 99%

Geospatial decision support system for ameliorating adverse impacts of irrigated agriculture on aquatic ecosystems

Fields

Labadie

Rohmat

et al. 2021

Agricultural Water Management

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“…Given that agricultural activities play a key role in the micro‐economics of hydrosystems, especially in irrigation dominant regions, hydro‐economic models have been widely used in irrigation planning and management (e.g., Houk et al, ; Li et al, ; Reca et al, ; Tilmant et al, ). On the other hand, there are several sources of uncertainties in meteorological (rainfall, temperature, humidity etc.…”

Section: Introductionmentioning

confidence: 99%

Copula‐Based Chance‐Constrained Hydro‐Economic Optimization Model for Optimal Design of Reservoir‐Irrigation District Systems under Multiple Interdependent Sources of Uncertainty

Alizadeh

Mousavi

Ponnambalam

2018

Water Resources Research

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This paper presents a new explicit stochastic hydro‐economic optimization model for reservoir‐irrigation district systems design affected by multiple interdependent sources of uncertainties. The model solution determines both optimal design and long‐term operation policies of the systems while accounting for uncertainties of reservoir inflow, rainfall, crop yield, crop price, and production costs. The problem is formulated as a chance‐constrained program in which the dependence structure of discrete and continuous random coefficients is accounted for using copula. In addition to design variables such as the sizing of reservoir capacity and the irrigable area, optimal reservoir operation policies and irrigation management strategies are determined. The model performance and significance is tested in the case study of Chamshir hydrosystem in Iran, consisting of Chamshir Dam and downstream irrigation districts. Various scenarios assessing baseline conditions, risk attitude, and the impacts of change in climatic inputs and upstream conditions are also evaluated. The model results are used to quantify the interrelationships and trade‐offs among optimal values of design parameters, optimal irrigation policy, decision‐makers' risk‐attitude, uncertainty levels of agro‐economic factors, and target reliability levels of meeting crop yield and water requirement. The results demonstrate that smaller sizes of the reservoir and the irrigation district and stress‐avoidance irrigation policies, rather than deficit‐irrigation policies, are preferred when the decision maker is risk‐averse and uncertainties in agro‐economic factors and reliability levels are large. Additionally, we show how the optimal cropping pattern and irrigation strategies are affected by climate change‐induced rainfall variations and the alteration of conditions upstream of the project.

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“…Similarly, Brennan, Tapsuwan, and Ingram (2007) employed a kinked slope‐plateau production function of irrigation and lawn quality in their study of the welfare effects of urban watering restrictions based on turfgrass experiments in Australia. In other water‐related contexts, Houk, Frasier, and Taylor (2007) estimated a piecewise‐linear relationship of the ratio of relative crop yield and relative evapotranspiration over time. Boehlert et al (2014) specified a piecewise linear function of willingness‐to‐pay for improved water quality over different ranges of quality to value foregone societal benefits due to diminished water quality attributable to climate change.…”

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confidence: 99%

Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis

Moeltner¹,

Ramsey²,

Neill³

2021

American J Agri Economics

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We consider the Bayesian estimation of continuous regression models where the cutoff points that separate different slope regimes are unknown but related to an observed input. Using plateau and von Liebig production functions as examples, we compare the performance of Bayesian mixture models that explicitly estimate regime membership probabilities to Bayesian threshold models that instead treat the unobserved threshold input as a model parameter. Using simulated data as well as actual data from two crop response trials, we show that the threshold model generally outperforms the mixture model in terms of estimation efficiency and predictive accuracy. We also illustrate how Bayesian model averaging can be employed when model performance is less clear cut. Our estimation framework is suitable for a wide range of applications in agricultural and resource economics —as well as other fields.

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Evaluating Water Transfers from Agriculture for Reducing Critical Habitat Water Shortages in the Platte Basin

Cited by 12 publications

References 11 publications

Geospatial decision support system for ameliorating adverse impacts of irrigated agriculture on aquatic ecosystems

Geospatial decision support system for ameliorating adverse impacts of irrigated agriculture on aquatic ecosystems

Copula‐Based Chance‐Constrained Hydro‐Economic Optimization Model for Optimal Design of Reservoir‐Irrigation District Systems under Multiple Interdependent Sources of Uncertainty

Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis

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