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Simulation of Deep Percolation in Fields with Greater Depth of Groundwater

机译:地下水深度田地深度渗滤的仿真

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The rules of deep percolation produced by irrigation under maize in the field with greater depth of groundwater are studied. With the maize cultivation in Dalian as an example, 1-D finite element model is built by VADOSE/W using the daily meteorological data in the years with guaranteed rainfall frequency of 75%, 50% and 25% through analyzing the years-long period regional meteorological data. By this model, the field soil water flow in a whole year under the rain-fed, sprinkler irrigation and border irrigation is simulated respectively, and the water balance of 1 m-deep root zone is analyzed. The simulation shows that the ratio of deep percolation to the sum of net precipitation and net irrigation water amount is less than 5% under the rain-fed, 5%~9% under the sprinkler irrigation, 7%~13% under the border irrigation respectively. 70%~95% of deep percolation is produced by irrigation and about 13%~28% of net irrigation water amount is lost as deep percolation, as a result, the main reason for deep percolation can be concluded as irrigation in fields.
机译:研究了玉米在玉米灌溉生产的深层渗滤规则,具有更大深度地下水的田间。随着大连玉米栽培作为一个例子,通过Vadose / W使用多年的日气象数据建造1-D有限元模型,通过分析年长期,通过分析了75%,50%和25%的保证频率区域气象数据。通过该模型,分别模拟了雨喂养,喷水灌溉和边界灌溉的一年内的现场土壤水流,分析了1米深根区的水平衡。仿真表明,在雨水喂养下,净沉淀和净灌水量的净降水量和净灌水量的总和的比例小于5%,喷洒灌溉下的5%〜9%,边境灌溉下的7%〜13%分别。 70%〜95%的深层渗透量是通过灌溉产生的,约13%〜28%的净灌水量因深深的渗透而丧失,因此,可以在田间灌溉中得出深层渗透的主要原因。

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