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首页> 外文期刊>Advances in Research >Sensitivity Analysis of Reference Evapotranspiration (ETO) Models for Irrigation Requirement of Crops and Impact of Irrigation on Climate Changes in Semi-arid Region of India
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Sensitivity Analysis of Reference Evapotranspiration (ETO) Models for Irrigation Requirement of Crops and Impact of Irrigation on Climate Changes in Semi-arid Region of India

机译：印度半干旱地区农作物灌溉需求和灌溉对气候变化影响的参考蒸散量（ETO）模型的敏感性分析

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Estimation of simple reference ETo model is being received considerable attention over the globally accepted FAO56 Penman-Monteith model, because the data generated from the fitted sensors of weather stations are questionable. To solves this problem in research field of water management, we tested five ETo models and compared with FAO56- PM by using 22 years weekly weather data (1975 to 1996) of irrigation command (CCA 80,800 ha) of semi-arid area of Maharashtra, India(long. 740 18′, lat. 190 45′, alt. 435 m). The Modified Penman model of FAO24 is quite effective against the FAO56 PM model but the former model requires both radiation and aerodynamic parameters for estimating ETo. The next temperature-based Hargreaves and Blaney Criddle model provided very significant effect as these models have expressed minimum RMSE, MBE, RE and high D-agreement. Development of water resources and irrigating seasonal field and horticultural crops in this semi-arid area has changed the physiological and physical attributes of vegetations. Due to more vegetation cover and cooling effect in irrigated area, the relative humidity has increased and evaporation rate, wind speed has decreased. When it was regressed with various weather parameters the temperature, wind speed, relative humidity and duration of bright sunshine have expressed positive effect and rainfall has shown negative effect on water loss from pan evaporimeter.
机译：相对于全球公认的FAO56 Penman-Monteith模型，简单参考ETo模型的估算正受到广泛关注，因为从气象站的传感器上产生的数据值得商question。为了解决水资源管理研究领域的这一问题，我们测试了五个ETo模型，并使用马哈拉施特拉邦半干旱地区灌溉命令（CCA 80,800公顷）的22年每周天气数据（1975年至1996年）与FAO56-PM进行了比较，印度（长74 0 18'，纬度19 0 45'，高度435 m）。 FAO24的改良Penman模型相对于FAO56 PM模型非常有效，但是前一个模型需要辐射和空气动力学参数来估计ETo。下一个基于温度的Hargreaves和Blaney Criddle模型提供了非常显着的效果，因为这些模型表达了最小的RMSE，MBE，RE和高D协议。在这个半干旱地区，水资源的开发以及季节性田地和园艺作物的灌溉改变了植被的生理和物理属性。由于更多的植被覆盖和灌溉区域的降温作用，相对湿度增加，蒸发速率，风速降低。当用各种天气参数进行回归时，温度，风速，相对湿度和明媚的阳光持续时间都表现出正效应，而降雨对锅蒸发仪的失水表现出负效应。

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