首页> 外文期刊>Journal of hydrologic engineering >Estimation and Characterization of Deep Percolation from Rice and Berseem Fields Using Lysimeter Experiments on Sandy Loam Soil
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Estimation and Characterization of Deep Percolation from Rice and Berseem Fields Using Lysimeter Experiments on Sandy Loam Soil

机译:利用沙土壤土蒸渗仪试验估算和鉴定水稻和伯西姆田的深层渗流

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Deep percolation from the root zone of water intensive crops reduces irrigation efficiency, minimizes water productivity and becomes an environmental threat by carrying chemical residues to groundwater systems. Quantification of the percolation process is often made indirectly without actual field observations. In the present case study, simple, locally constructed drainage type lysimeters were utilized to monitor daily deep percolation from the root zone of unpuddled sandy loam soil throughout the growth periods of rice and berseem fodder crops. Similarly, other water balance components were monitored on daily time steps during the crop growth periods (2013 and 2014). It was observed that a large volume of water is returned as deep percolation loss as physically demonstrated from lysimeter measurements. Overall, approximately 82% of the input water volume in rice season and 61.8% in berseem season accounted for deep percolation in unpuddled sandy loam soil of the experimental field. A simple water balance model was employed to compute deep percolation from the crop root zone. The deep percolation computed on a daily basis did not agree with the measured values; however, cumulative deep percolation computed on an extended time interval of seven days (weekly basis) for rice and between wetting intervals for berseem seasons agreed well with the model computed cumulative percolation. This could be attributable to the fact that some time is needed for drainage water to arrive lysimeter outlets located well below the crop root zone. Consequently, it can be concluded that in application of drainage type lysimeter water balance, estimation of deep percolation from a cropped area can be made fairly well in longer time steps than shorter time intervals. Specifically, heavy rainfall events resulted in large percolation losses. This study also proves that locally constructed lysimeters could effectively be utilized in water balance studies of a cropped area when used in combination with root zone soil moisture monitoring devices.
机译:水分密集型作物的根部区域发生的深层渗滤降低了灌溉效率,使水的生产率降至最低,并通过将化学残留物带入地下水系统而成为环境威胁。渗滤过程的量化通常是在没有实际现场观察的情况下间接进行的。在本案例研究中,简单的局部排水型渗漏仪用于监测水稻和无花草饲料作物整个生长期的无浆沙壤土根部每天的深层渗滤情况。同样,在作物生长期间(2013年和2014年),每天的时间步长上都会监测其他水平衡成分。观察到大量水作为深度渗滤损失而返回,如渗析仪测量结果所证实。总体而言,在稻田的无水沙壤土中,大约有82%的稻米季节水和61.8%的伯尔西姆季节水深渗。一个简单的水平衡模型被用来计算作物根区的深层渗透。每天计算的深层渗透率与测量值不一致;但是,对于水稻,以延长的时间间隔(每天7天)计算出的累积深层渗滤,以及在berberm季节的湿润间隔之间计算出的累积深层渗滤,与该模型计算出的累积渗滤非常吻合。这可能归因于这样的事实,排水需要一些时间才能到达位于作物根区下方的渗漏测定仪出口。因此,可以得出结论,在应用排水式渗漏仪水平衡时,与较短的时间间隔相比,在较长的时间步长内可以很好地估算出种植区域的深层渗滤。具体而言,强降雨事件导致大量渗滤损失。这项研究还证明,与根区土壤湿度监测设备结合使用时,局部构造的测渗仪可以有效地用于作物区域的水平衡研究。

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