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Modeling optimal irrigation scheduling under conjunctive use of canal water and poor quality groundwater in semi-arid region of northwestern India

机译:印度西北半干旱地区运河水与劣质地下水联合使用下的最优灌溉调度模型

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In the state of Punjab, India available water resources are inadequate to meet the irrigation needs of the crops. Optimal irrigation scheduling includes allocation of limited water supply to several crops so, as to maximize the net benefits and reduce the stress of the crops during its growing season. Dynamic programming technique of optimization has been adopted for seasonal allocation of water for multiple crops (Wheat, Barley, Mustard and Gram). The stochastic nature of canal water releases of Golewala distributary for 20 years (1982-2001) was estimated by gamma distribution. Based on this expected values of canal water releases were computed as 3766.41, 4138.76, 4422.2, 4674.5 and 4918.95 hectare – meter (ha-m) corresponding to 10%, 20%, 30%, 40% and 50% risk levels of canal water releases in the distributary. The conjunctive use of canal water along with bad quality ground water offers sustainable water allocation option based on water production function. The seasonal allocation is done corresponding to different combinations of canal water and ground water at different risk levels of canal water. The seasonal water has been further redistributed on weekly basis by making use of dated water production functions and soil water balance equation. The potential evapotranspiration was estimated by Penman Montieth method and actual evapotranspiration was estimated on the basis of soil moisture balance in the study area. Economic co-efficient, crop areas, and crops growth stage stress effects are included in the mathematical formulation at both levels. The weekly allocation takes into account the initial moisture content along with limitations in terms of channel capacity, available water supply and soil storage capacity. The allocation of water was 97% and 3% for wheat and mustard crop respectively. Model did not allocate water to barley and gram crops in the catchment area. The seasonal water was redistributed on weekly basis with different risk levels of potential evapotranspiration. The weekly allocation of water varied from 0 – 22.5 mm for 10% risk level of evapotranspiration. The risk level of evapotranspiration did not much affect the allocation and varied from 278.08– 79.01 for full season. The net returns for 10% and 50% risk levels of canal water and 30% ground water were 8.51% and 32.42% higher than existing net returns observed in the command area. The increase in the ground water amount beyond 30% tends to have an adverse effect on the yield of the crops.
机译:在旁遮普邦,印度的可用水资源不足以满足农作物的灌溉需求。最佳灌溉计划包括将有限的水分配给几种农作物,以便在农作物生长季节最大程度地提高净收益并减轻农作物的压力。为多种作物(小麦,大麦,芥末和革兰)的季节性调水采用了动态优化优化技术。通过伽马分布估计了20年(1982年至2001年)的Golewala分水渠的运河水释放的随机性。根据此预期值计算出的运河水排放量分别为3766.41、4138.76、4422.2、4674.5和4918.95公顷-米(ha-m),分别对应于运河水风险的10%,20%,30%,40%和50%在发行版中发行。结合使用运河水和劣质地下水可提供基于水生产功能的可持续配水方案。在运河水的不同风险水平下,对应于运河水和地下水的不同组合进行季节分配。利用过时的水生产函数和土壤水平衡方程,季节性水在每周的基础上被进一步重新分配。用Penman Montieth方法估算潜在的蒸散量,并根据研究区域的土壤水分平衡估算实际的蒸散量。在两个级别的数学公式中都包括了经济系数,作物面积和作物生长期的胁迫效应。每周分配考虑了初始水分含量以及渠道容量,可用水供应和土壤存储容量方面的限制。小麦和芥末作物的水分分配分别为97%和3%。模型没有向集水区的大麦和克农分配水。季节性水每周重新分配,潜在的蒸散风险水平不同。每周蒸腾量从0 – 22.5毫米不等,蒸散风险为10%。蒸散的风险水平并没有太大影响分配,整个季节从278.08–79.01不等。运河水和30%地下水的风险水平分别为10%和50%的净收益分别比命令区域中现有的净收益高8.51%和32.42%。地下水量增加超过30%往往会对农作物的产量产生不利影响。

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