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Decision Support for Complicated Irrigation System: A Case Study of Lower Pak Phanang River Basin

机译:复杂灌溉系统的决策支持 - 以低朴凤河流域为例

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Decision support for complicated irrigation system is presented in this article. The optimization mathematical model was developed mainly based on water balance concept for both command areas and coupled river and canal delivery system to suitably determine planted area for each plant species under constraints of available water supplies and limited areas to meet the maximization of economic value for the lower Pak Phanang river basin, Southern Thailand. Due to very complex problem-solving type with many decision variables of 410 and constraints of 861, an open source Excel add-in, widely known as Open Solver, was applied to solve nonlinear mixed-integer problems. The developed model was calibrated by comparison of the required inflow quantities to satisfy the calculated agricultural water demand in the study and the observed runoff quantities at X.105 runoff station, upstream of study area, during dry season (Jan to Apr). Land use data in 2012 obtained from the Land Development Department of Thailand (LDD) was interpreted to determine agricultural water demand. It was found that there was satisfying agreement between both considered values with agricultural water requirement quantities of 21.54 MCM and observed runoff quantities of 20.98 MCM. We hence applied the developed model with 8 scenarios for guidance for irrigation management in the study area.
机译:本文提出了对复杂灌溉系统的决策支持。优化数学模型主要基于用于指挥区域和耦合河流和运河递送系统的水平衡概念,适当地确定每种植物物种的种植面积,可在可用的水供应和有限地区的限制下,以满足经济价值的最大化下帕克·施南河流域,泰国南部。由于具有410的许多判定变量的非常复杂的问题解决类型和861的约束,应用了一个开源Excel加载项,广泛称为开放式求解器,以解决非线性混合整数问题。通过比较所需的流入量来校准开发的模型,以满足研究所需的农业用水需求以及X.105径流站的观察到的径流量,在旱季(1月至4月)。从泰国土地开发部门获得的2012年土地利用数据被解释为确定农业需求。有人发现,两者都有令人满意的达成协议,农业需求量为21.54 mcm,观察到20.98 mcm的径流量。因此,我们将开发模型应用于8个方案,以便在研究区域进行灌溉管理的指导。

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