Cropping pattern planning under water supply from multiple sources

Tsakiris, George; Spiliotis, Mike

doi:10.1007/s10795-006-5426-y

Cited by 29 publications

(15 citation statements)

References 11 publications

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“…However, they merely aimed at maximizing the economic benefit or minimizing the cost of the studied system [7][8][9][10][11][12]. Moreover, they exclusively focused on the input-output ratio of a specific aspect (e.g., agricultural or industry) in water resources [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Two-Stage DEA Analysis of Water Resource Use Efficiency

Ren

Guo

2016

Sustainability

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This paper presents an extended two-stage data envelopment analysis (DEA) method for analyzing water resource use efficiency (WRUE) and related WRUE issues, which was developed by introducing regional water resource metabolic theory into the two-stage DEA method. It has the following advantages: (1) it has the ability to reflect the inner difference and connection of the regional water resource consumption process, which developed the corresponding physical model instead of making it a "black box"; (2) the built physical model for WRUE divided the main body of water resource consumption into social and economic subsystems, which can thus elaborate WRUE; (3) it can analyze not only WRUE but also related WRUE issues. The proposed method was applied to a real-case study in Gansu Province, China. Results show that decision makers can determine the comprehensive and accurate WRUE and negative factors of WRUE in Gansu Province. Moreover, the results offer recommendations for decision makers to plan for efficient use of water resources in different cities.

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Section: Introductionmentioning

confidence: 99%

Two-Stage DEA Analysis of Water Resource Use Efficiency

Ren

Guo

2016

Sustainability

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“…Sethi et al (2002) developed a linear programming model to maximize the economic returns by optimizing cropping patterns and groundwater management. Tsakiris and Spiliotis (2006) presents a methodology, based on the fuzzy set theory, for enhancing the goal programming approach to solve similar problems under various sets of criteria of a different nature to optimal crop pattern selection. Spiliotis and Tsakiris (2007)proposed an interactive fuzzy integer programming methodology for Minimum cost irrigation network design in order to incorporate obscure knowledge on these pressure requirements at the design stage.…”

Section: Introductionmentioning

confidence: 99%

Optimal Crop Water Allocation Based on Constraint-State Method and Nonnormal Stochastic Variable

Kaviani

Hassanli

Homayounfar

2014

Water Resour Manage

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Integrated and holistic approach of water resources management is important for sustainability. Since the optimum use of water resources needs taking into account different environmental issues. Accordingly, the use of supportive models in decision making as an effective tool is significantly important. To addressing uncertainty in crop water allocation, several methodologies have been proposed. The most of these models consider rainfall as a stochastic variable affecting soil moisture. Applying a new methodology/model while considering the stochastic variable in nonnormal state and uncertainties for both irrigation depth and soil moisture looks more realistic. In this research, a mathematical model was developed based on Constraint-State equation optimization model and Beta function. The first and the second moments of soil moisture are used as constraints in optimization process. This model uses the soil moisture budget equation for a specific plant (winter wheat) on a weekly basis, considering the root depth, soil moisture, irrigation depth, rainfalls, evapotranspiration, leaching depth, soil physical properties and a stochastic variable. The model was written in MATLAB and was run for winter wheat in Badjgah, south of Iran. The results were compared with the results obtained from a simulation model. Based on the results, the optimum net irrigation depth of winter wheat including the rainfall was 306.2 mm. The insignificant difference of simulation and optimization results showed that, the optimization model works properly and is acceptable for optimization of irrigation depth, as its reliability index is 96.86 %.

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“…Multiple criteria decision making (MCDM) methods have frequently been used to simultaneously optimize several objectives in crop planning (Tsakiris & Spiliotis, 2006;Sharma & Jana, 2009;Vivekanandan et al, 2009), water resources management (Al-zahrani & Ahmad, 2004;Bravo & Gonzalez, 2009) and agriculture planning (Alphonce, 1997). A recent progress in this context was considered fractional programming (FP) procedure with multiple objectives (Amini Fasakhodi et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Modelo de preferencia multiatributo para la planificación óptima de cultivos de regadío en condiciones de escasez de agua

Montazar

Snyder

2012

Span. j. agric. res.

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Water resources sustainability has a key role in the existence and durability of irrigated farming systems and strongly depends on the crop planning. The decision process is complex due to a number of constraints and the desire to secure crop diversification and the involvement of affected various parameters. The objective of the present study was to develop a comprehensive multi-criteria model for selecting adequate cropping pattern in an irrigation district under water scarcity condition. Eleven and nine attribute decisions were considered in ranking the type of crop and determination of the percentage of crop cultivation area as an optimal irrigated crop planning system, respectively. The results indicate that the proposed multi-attribute preference approach can synthesize various sets of criteria in the preference elicitation of the crop type and cultivated area. The predictive validity analysis shows that the preferences acquired by the proposed model are evidently in reasonable accordance with those of the conjunctive water use model. Consequently, the model may be used to aggregate preferences in order to obtain a group decision, improve understanding of the choice problem, accommodate multiple objectives and increase transparency and credibility in decision making by actively involving relevant criteria in the crop planning.Additional key words: analytical hierarchy process; cropping pattern; Koohdasht irrigation district; multi-criteria approach. ResumenModelo de preferencia multiatributo para la planificación óptima de cultivos de regadío en condiciones de escasez de agua La sostenibilidad de los recursos hídricos tiene un papel clave en la existencia y durabilidad de los sistemas agríco-las de riego y depende en gran medida de la planificación de los cultivos. El proceso de decisión es complejo, debido a una serie de restricciones y el deseo de asegurar la diversificación de los cultivos y la participación de diversos parámetros afectados. El objetivo del presente estudio fue desarrollar un modelo multicriterio completo para seleccionar una combinación adecuada de cultivo en un distrito de riego con escasez hídrica. La planificación de un sistema ópti-mo de cultivos en regadíos se realizó considerando once y nueve atributos de decisión para jerarquizar el tipo de cultivo y su porcentaje de superficie, respectivamente. Los resultados indican que el enfoque de preferencia de atributos múltiples puede sintetizar varios conjuntos de criterios en la selección del tipo de cultivo y la superficie cultivada. El análisis de validación muestra que las preferencias generadas por el modelo propuesto están razonablemente de acuerdo con las obtenidas en el modelo de uso del agua. En consecuencia, el modelo podría ser utilizado para agregar preferencias a fin de obtener una decisión de grupo, mejorar la comprensión del problema de elección, adaptarse a múltiples objetivos y aumentar la transparencia y la credibilidad en la toma de decisiones en las que la planificación de cultivos esté involucrada.Palabras c...

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Cropping pattern planning under water supply from multiple sources

Cited by 29 publications

References 11 publications

Two-Stage DEA Analysis of Water Resource Use Efficiency

Two-Stage DEA Analysis of Water Resource Use Efficiency

Optimal Crop Water Allocation Based on Constraint-State Method and Nonnormal Stochastic Variable

Modelo de preferencia multiatributo para la planificación óptima de cultivos de regadío en condiciones de escasez de agua

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