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A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China

机译:浅层含水层的独特助产区模型:中国北京灌区

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摘要

Rapid population growth is increasing pressure on the world water resources. Agriculture will require crops to be grown with less water. This is especially the case for the closed Yellow River basin, necessitating a better understanding of the fate of irrigation water in the soil. In this paper, we report on a field experiment and develop a physically based model for the shallow groundwater in the Hetao irrigation district in Inner Mongolia, in the arid middle reaches of the Yellow River. Unlike other approaches, this model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table and not by a limiting soil conductivity. The field experiment was carried out in 2016 and 2017. Daily moisture contents at five depths in the top 90 cm and groundwater table depths were measured in two fields with a corn crop. The data collected were used for model calibration and validation. The calibration and validation results show that the model-simulated soil moisture and groundwater depth fitted well. The model can be used in areas with shallow groundwater to optimize irrigation water use and minimize tailwater losses.
机译:人口迅速增长正在增加世界水资源的压力。农业需要在较少的水中种植作物。封闭的黄河流域尤其如此,需要更好地了解土壤中灌溉用水的命运。在本文中,我们报告了一个现场实验,并在内蒙古的内蒙古的浅地下水中为浅地下水开发了物理上的模型,在黄河中游。与其他方法不同,该模型识别出在波定电位等于地下水位上方的高度时达到场容量,而不是通过限制的土壤电导率。现场实验于2016年和2017年进行。在具有玉米作物的两座田地中测量前90厘米和地下水位深度的五个深度的日常水分含量。收集的数据用于模型校准和验证。校准和验证结果表明,模拟模拟土壤水分和地下水深度良好。该模型可用于浅地下水的区域,以优化灌溉用水,并最大限度地减少尾水损失。

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