Optimization of crop irrigation strategy under a stochastic weather regime: A simulation study
Optimization of crop irrigation strategy under a stochastic weather regime: A simulation study
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随机天气条件下作物灌溉策略的优化：模拟研究
DOI：
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发表时间：
1976
期刊：
影响因子：
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通讯作者：
E. Hiler
中科院分区：
文献类型：
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作者：
J. Ahmed;C. V. Bavel;E. Hiler
建立了土壤-水-大气-植物系统的动态模拟模型，为在随机天气条件下和水资源有限的情况下进行最优灌溉决策提供了一种工具。作物产量、叶片发育、植物水分亏缺和灌溉决策一直被视为相互依赖的过程。作物产量对水分亏缺的敏感性是作物生长阶段的函数。还考虑了气孔对作物蒸腾作用的调节。该模型是一个闭环动态系统，其中过去的灌溉决策和天气条件影响当前以及未来的作物系统的响应，因此，未来的灌溉决策和整体的水分利用效率。本文中的具体说明涉及在德克萨斯州中南部典型天气条件下种植的高粱。
A dynamic simulation model of the soil-water-atmosphere-plant system is developed as a tool for optimal irrigation decision making under a stochastic weather regime and when water supplies are limited. Crop yield, foliage development, plant water deficits, and irrigation decisions have been treated as interdependent processes. Yield susceptibility of the crop to water deficit is a function of crop growth stage. The stomatal regulation of transpiration by the crop has been taken into account also. The model is a closed loop dynamic system, in which past irrigation decisions and weather conditions affect the current as well as the future response of the crop system and, consequently, the future irrigation decisions and the overall water use efficiency. The specific illustration in this paper pertains to grain sorghum grown under weather conditions typical for south central Texas.