Optimal Irrigation Allocation: A Multilevel Approach

Paul, Sabu; Panda, Sudhindra N.; Kumar, D. Nagesh

doi:10.1061/(asce)0733-9437(2000)126:3(149)

Cited by 97 publications

(44 citation statements)

References 7 publications

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“…Agricultural irrigation water allocation is a concern of most literatures because it accounts for most of the water consumption. Paul used a multi-level approach which consists of seasonal and intraseasonal levels to solve irrigation water resources allocation problem in semiarid region [11]. Salman designed an agricultural water allocation system (SAWAS) model for quantitatively and qualitatively analyzing inter-seasonal allocation of irrigation water and its impact on agricultural production and income [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Water Resources Allocation under the Constraint of Land Use in the Heihe River Basin of China

et al. 2015

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Abstract:In recent years, water scarcity and irrational utilization have become the pivotal issues for the sustainable development of river basins in China. This paper attempts to propose a new perspective for the optimization of water resources allocation in a typical river basin. In order to conduct an accurate and feasible program for water resources allocation in the water-deficient river basin, a multi-objective and multi-constraint programming model was developed by embedding land use effect as a constraint on water allocation, which was currently solely decided by water resources demand in different water use sectors. The program includes two layers, namely water allocation among different counties located in the middle reaches of the Heihe River Basin and among domestic, industrial, agricultural and ecological uses within one county. Empirical analysis shows that the structural change of land use has an important influence and restriction on the water resources allocation in the river basin. The least cultivated areas that ensure food security and the constraint of construction land quota have great impact on agricultural and industrial water allocation. Moreover, the quantitative change of ecological land greatly affects ecological water allocation. The results demonstrate that the optimal program calculated from land use embedded model can well predicate the actual situation of water allocation in the future. To ensure regional sustainable development, it is vital that reasonable water-saving measures in each water use sector and ecological protection policies be taken. OPEN ACCESSSustainability 2015, 7 1559

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Section: Literature Reviewmentioning

confidence: 99%

Optimal Water Resources Allocation under the Constraint of Land Use in the Heihe River Basin of China

et al. 2015

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“…Previously several researchers developed methodologies to produce optimum allocation plans (Matanga & Marino, 1979;Yaron & Dinar, 1982;Sritharan et al, 1988;Vedula & Mujumdar 1992;Shyam et al, 1994 andOnta et al, 1995;Mainuddin et al, 1996;Sunantara & Ramirez, 1997;Wardlaw & Barnes 1999;Paul et al, 2000 andSahoo et al, 2001). But these studies were mainly concerned with maximizing the benefits of agricultural production from the irrigation schemes (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Earlier mentioned studies that aimed at producing optimum allocation plans did not consider all these complexities together. Previous studies produced optimum allocation plans either by considering the entire irrigation scheme as a single field model (Matanga & Marino, 1979;Yaron & Dinar, 1982;Mainuddin et al, 1996;Sahoo et al, 2001;Sunantara &Ramirez, 1997 andPaul et al, 2000) or multi-field models where both land and water resources were not optimised (Sritharan et al, 1988;Shyam et al, 1994 andOnta et al, 1995). Therefore these methodologies can not produce the allocation plans that optimize productivity, equity and adequacy.…”

Section: Introductionmentioning

confidence: 99%

Model for performance based land area and water allocation within irrigation schemes

Gorantiwar

Smout

2007

Irrig Drainage Syst

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• This is a journal article. heterogeneity of the irrigation scheme in the allocation process, and modifies this to take account of equity and adequacy of supply to irrigated areas. The AWAM model has four phases to be executed separately for each set of irrigation interval over the irrigation season: 1. generation of irrigation strategies for each crop-soil-region combination (CSR unit), 2. preparation of irrigation programmes for each irrigation strategy, 3. selection of specified number of irrigation programmes for each CSR unit and 4. optimum allocation of land area and water to different parts of the irrigation scheme (allocation units) for maximizing productivity. In the modified AWAM model, the adequacy is included at Phase-2 (by including only the irrigation programmes for full irrigation of each CSR unit) and equity is included at Phase-4 (by including the constraints for equity). The paper briefly discusses the applicability of the modified AWAM model for a case study of Nazare medium irrigation scheme in Southern India. The results of the case study indicated that the performance measures of productivity, equity and adequacy conflict with each other.

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“…The present study uses an empirical equation for calculating the deep percolation component (Rao et al, 1990;Paul et al, 2000), which is given by:…”

Section: Soil Moisture Balancementioning

confidence: 99%

Optimal reservoir operation for irrigation of multiple crops using elitist-mutated particle swarm optimization

Reddy¹,

Kumar²

2007

Hydrological Sciences Journal

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To achieve social and economic sustainability in arid and semi-arid areas under water scarce situations, it is vital to promote efficient use of water through improved management of water resources. This paper presents a swarm optimization based solution to a detailed operational model for short-term reservoir operation for irrigation of multiple crops. The model integrates the dynamics associated with the water released from a reservoir to the actual water utilized by crops at farm level. It takes into account the nonlinear relationship of root growth, soil heterogeneity, soil moisture dynamics for multiple crops, yield response to water deficit at various growth stages of the crops and economic benefits from the crops. As the developed model is a nonlinear one, it is solved using a novel global optimization technique, namely elitist-mutation particle swarm optimization (EMPSO). The model's applicability is demonstrated through a case study of Malaprabha Reservoir system in Southern India. The performance of the model is examined for different water deficit conditions and the sensitivity of the crop yield is analysed for water shortage at various growth stages. Also, the consideration of economic benefits in the objective function and its effect on the water allocation decisions for multiple crops are studied. Consequently, the output from the model includes initial storages, releases, overflows and evaporation losses for each 10-day period on the reservoir side; and allocation of water, actual evapotranspiration and initial soil moisture for each crop for each 10-day period on the field side, thus facilitating decision making for optimal utilization of the available water resources.

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Optimal Irrigation Allocation: A Multilevel Approach

Cited by 97 publications

References 7 publications

Optimal Water Resources Allocation under the Constraint of Land Use in the Heihe River Basin of China

Optimal Water Resources Allocation under the Constraint of Land Use in the Heihe River Basin of China

Model for performance based land area and water allocation within irrigation schemes

Optimal reservoir operation for irrigation of multiple crops using elitist-mutated particle swarm optimization

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