首页> 外文会议>Joint Conference on the Applications of Air Pollution Meteorology with A and American Meteorological Society >PREDICTING WATER DEMAND FOR IRRIGATION BASED ON A CROP SIMULATION MODELAND LOCAL WEATHER DATA
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PREDICTING WATER DEMAND FOR IRRIGATION BASED ON A CROP SIMULATION MODELAND LOCAL WEATHER DATA

机译:基于作物仿真模型和当地天气数据预测水需求对灌溉需求

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Recent issues that affect water use in the state of Georgia are the tri-state water dispute between Georgia, Alabama and Florida, the continuing drought in the southeastern USA, and the rapidly increasing irrigated acreage in agriculture. An understanding of present and future water needs by agriculture is needed to ensure availability of water for current and future users. Unfortunately, how much water is required and how much is actually being used for irrigation is unknown. In Georgia, most agricultural operators are required to be permitted, but they are not required to report their water use. The Georgia Department of Natural Resources, Environmental Protection Division (EPD), the designated state regulatory agency, therefore has to rely on estimates of current and future water needs by agriculture. The objectives of this study were: 1) to predict the irrigation demand for major crops in Georgia using a crop simulation model, and 2) to assess the impact of local weather and soil conditions onirrigation demand.
机译:最近影响格鲁吉亚州的用水的问题是格鲁吉亚,阿拉巴马州和佛罗里达州之间的三国水争议,美国东南部的持续干旱,以及农业迅速增加的灌溉面积。需要了解农业的目前和未来的水需求,以确保当前和未来的用户提供水的可用性。不幸的是,需要多少水,实际用于灌溉的情况是多少。在格鲁吉亚,大多数农业运营商都需要允许,但他们不需要报告其用水。因此,格鲁吉亚自然资源部,指定国家监管机构的环境保护司(环保署)必须依靠农业依靠目前和未来的水需求估计。本研究的目的是:1)预测格鲁吉亚主要作物的灌溉需求使用作物仿真模型,2)评估当地天气和土壤条件的影响疟尿。

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