1) profit and loss of agricultural moisture
农业水分盈亏
1.
the cluster′s index is chosen based on the valid precipitation in each growth period and the sensitiveness coefficient,and fuzzy clustering iteration model is utilized to cluster the data of many years precipitation of irrigation section,then the BP network model is formed,finally,the change tendency of the profit and loss of agricultural moisture in the future is forecasted.
以各生长期有效降水和敏感性系数为依据选取聚类指标,利用模糊迭代聚类方法对多年降水资料进行聚类分析,在此基础上建立了遗传程序BP网络模型,最后对未来农业水分盈亏变化趋势进行预测。
2) the moisture profit and deficit
农田水分盈亏
3) regional water budget
水分盈亏
1.
The method for deducing the temporal and spatial evapotranspiration from the remote sensing result is suggested and the method for calculating the regional water budget with different land use is established.
本文提出了适合任意蒸腾蒸发量(ET)的时空尺度推演方法,建立了不同土地类型区域的水分盈亏计算方法。
4) Farmland nutrient budget
农田养分盈亏
5) climatic water deficit
气候水分盈亏
1.
Based on the data from 1961 to 2001 of 85 weather stations,according to the Penman-monteith model of Food and Agriculture Organization of the United Nations(FAO) nominated in 1998,the spatial and temporal structure and changes of climatic water deficit in the Yellow River Basin were discussed.
以中国气象局整编的1961-2001年的气象资料为数据基础,采用联合国粮食及农业组织(FAO)1998年推荐使用的Penman-monteith模型,并以GIS技术为手段进行黄河流域气候水分盈亏的时空分布格局分析。
6) Annual soil water surplus and deficit
年土壤水分盈亏
补充资料：中国农业科学院农业自然资源和农业区划所
中国农业科学院农业自然资源和农业区划所
中国农业科学院农业自然资源和农业区划所见中国农业经济科学研究机构。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条