Optimal water allocation in irrigation networks based on real time climatic data

Parsinejad, Masoud; Yazdi, Amin Bemani; Araghinejad, Shahab; Nejadhashemi, A. Pouyan; Tabrizi, Mahdi Sarai

doi:10.1016/j.agwat.2012.10.025

Cited by 33 publications

(7 citation statements)

References 14 publications

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“…Numerous applications have been published on a variety of methods usable to optimize water and land allocation at basin and system levels [29][30][31], generally focusing multi-users and multi-crop systems. Differently, when focusing single crops, the search for more efficient water use is generally performed through simulation of alternative irrigation schedules which are compared through the respective impacts on total water use, yields and water productivity.…”

Section: Introductionmentioning

confidence: 99%

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Giménez

Petillo

Paredes

et al. 2016

Water

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Abstract:Various maize irrigation treatments including full and deficit irrigation were used to calibrate and validate the soil water balance and irrigation scheduling model SIMDualKc at Paysandú, western Uruguay. The model adopts the dual crop coefficient approach to partition actual evapotranspiration (ET c act ) into actual transpiration (T c act ) and soil evaporation (E s ). Low errors of estimation were obtained for simulating soil water content (Root mean square errors (RMSE) ď 0.014 cm 3¨c m´3 with calibrated parameters, and RMSE ď 0.023 cm 3¨c m´3 with default parameters). The ratio E s /T c act ranged from 26% to 33% and E s /ET c act varied from 20% to 25%, with higher values when the crop was stressed offering less soil coverage. Due to rainfall regime, runoff and deep percolation were quite large. The Stewarts phasic model was tested and used to predict maize yield from T c act with acceptable errors, in the range of those reported in literature. Water productivity values were high, ranging 1.39 to 2.17 kg¨m´3 and 1.75 to 2.55 kg¨m´3 when considering total water use and crop ET, respectively. Using a 22-year climatic data series, rainfed maize was assessed with poor results for nearly 40% of the years. Differently, alternative supplemental irrigation schedules assessed for the dry and very dry years have shown good results, particularly for mild deficit irrigation. Overall, results show appropriateness for using SIMDualKc to support the irrigation practice.

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Section: Introductionmentioning

confidence: 99%

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Giménez

Petillo

Paredes

et al. 2016

Water

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“…The economic benefit of the Ecotope Agent is not calculated, but because it is part of the total water supply under certain conditions, larger values yield overall better results. g 5 pxq ñ maxW eco (15) where W eco is the ecotope water supply. The design philosophy of the optimal allocation model based on the WRMASSM is illustrated in Figure 5.…”

Section: Model Construction For Quanzhoumentioning

confidence: 99%

“…( ) ⇒ (15) where is the ecotope water supply. The design philosophy of the optimal allocation model based on the WRMASSM is illustrated in Figure 5.…”

Section: Model Construction For Quanzhoumentioning

confidence: 99%

Optimal Allocation of Water Resources Based on Water Supply Security

Wang

Hou

Jiang

et al. 2016

Water

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Abstract:Under the combined impacts of climate change and human activities, a series of water issues, such as water shortages, have arisen all over the world. According to current studies in Science and Nature, water security has become a frontier critical topic. Water supply security (WSS), which is the state of water resources and their capacity and their capacity to meet the demand of water users by water supply systems, is an important part of water security. Currently, WSS is affected by the amount of water resources, water supply projects, water quality and water management. Water shortages have also led to water supply insecurity. WSS is now evaluated based on the balance of the supply and demand under a single water resources condition without considering the dynamics of the varying conditions of water resources each year. This paper developed an optimal allocation model for water resources that can realize the optimal allocation of regional water resources and comprehensively evaluate WSS. The objective of this model is to minimize the duration of water shortages in the long term, as characterized by the Water Supply Security Index (WSSI), which is the assessment value of WSS, a larger WSSI value indicates better results. In addition, the simulation results of the model can determine the change process and dynamic evolution of the WSS. Quanzhou, a city in China with serious water shortage problems, was selected as a case study. The allocation results of the current year and target year of planning demonstrated that the level of regional comprehensive WSS was significantly influenced by the capacity of water supply projects and the conditions of the natural water resources. The varying conditions of the water resources allocation results in the same year demonstrated that the allocation results and WSSI were significantly affected by reductions in precipitation, decreases in the water yield coefficient, and changes in the underlying surface.

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“…Moreover, fixed and variable costs per volume of water are evaluated by dividing the equivalent annual costs and variable costs by the volume of pumped water. The sum of fixed and variable costs per unit of water is 109.7 Rials for 12,095 m 3 and 385 hours of pumping (74.7 Rials for fixed and 35 Rials for variable costs). These values perfectly match with those that evaluated using Depth-Costs relationship provided earlier by Abdolahi-ezatabadi and Soltani [34].…”

Section: Water Pricementioning

confidence: 99%

Distributed versus Lumped Optimization of Cropping Pattern and Water Resources Utilization

Ghasemi¹,

Karamouz²,

Shui³

2014

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Several whole-farm agro-economic optimization models have been developed to deal with lumped planning issues in the agriculture sector. However, these models cannot be used to devise appropriate management strategies at land parcel level, because of the differences between farm characteristics, and the increased complexity of the hydrological processes. Based on Spatial Farm Database (SFD) which is consisted of a number of farm-level spatial data, including location, paddock properties, owner specifications and budgets, it is possible to provide the farm manager with some suggestions regarding the optimal choice of crops and the area to be allocated for each one. To this end, genetic algorithm is used in order to cope with model nonlinearity and a large number of decision variables. In order to test the proposed model, the Mobarakabad district is modeled with 126 agriculture fields, and the optimization model is run for this area. Results showed that the optimization procedure can find more realistic farm-level optimal solutions due to its advantage in adequate modeling of field characteristics, common groundwater resources, and the associated constraints. The results of lumped optimizations could also be used as benchmarks for the purposes of comparison and interpretation.

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Optimal water allocation in irrigation networks based on real time climatic data

Cited by 33 publications

References 14 publications

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Optimal Allocation of Water Resources Based on Water Supply Security

Distributed versus Lumped Optimization of Cropping Pattern and Water Resources Utilization

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