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区域农业灌溉用水量预测研究进展
引用本文:常迪,齐学斌,黄仲冬. 区域农业灌溉用水量预测研究进展[J]. 中国农学通报, 2017, 33(31): 1-5
作者姓名:常迪  齐学斌  黄仲冬
作者单位:中国农业科学院农田灌溉研究所,中国农业科学院农田灌溉研究所,中国农业科学院农田灌溉研究所
基金项目:公益性行业(农业)科研专项经费资助项目“黄淮海高产农田作物需水及高效用水技术研究与示范”(201203077)。
摘    要:农业灌溉用水量的准确预测对于研究农业水资源高效利用,合理优化配置水资源具有十分重要的意义。根据农业灌溉用水量预测方法及区域尺度转换,研究总结区域农业灌溉用水量预测的现状,提出研究中存在的问题。结果表明:灌溉用水量预测模型主要基于作物需水机理、数理统计规律以及启发式算法;农业灌溉用水量预测方法存在局限性、灌区尺度转换研究较少,以及影响因素存在时空变异性等问题。研究结果可为区域农业灌溉用水量预测研究方向提供参考。

关 键 词:农业灌溉用水  预测  尺度转换  时空变异性
收稿时间:2016-09-18
修稿时间:2017-04-20

Regional Agricultural Irrigation Water Consumption Prediction: Research Progress
Abstract:Accurate prediction of agricultural irrigation water consumption is important to study the efficient utilization of agricultural water resources and optimize the allocation of water resources. This paper summarized the current situation of regional agricultural irrigation water consumption forecast based on the prediction methods of agricultural irrigation water consumption and the regional scale transformation, and pointed out the problems existing in the research. The results showed that: the forecasting models of irrigation water consumption were mainly based on crop water requirement mechanism, mathematical statistics and heuristic algorithm; the prediction methods had limitations, the research on regional scale transformation was less, and the influence factors had spatial and temporal variability. This study provides references for prediction of regional agricultural irrigation water consumption.
Keywords:agricultural irrigation water   prediction   scale transformation   spatio-temporal variability
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