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Enhancing the capability of hydrological models to simulate the regional agro-hydrological processes in watersheds with shallow groundwater: Based on the SWAT framework

机译:利用浅地下水模拟水文模型的水文模型能力:基于SWAT框架的流域区域农业水文过程

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This article introduces the SWAT-AG (a modified SWAT for agro-hydrological modeling) as an enhanced hydrological model for simulating the hydrological processes in agricultural watershed with shallow water tables. The model is developed based on the framework of the SWAT with significant improvements on describing the interactions of the vadose zone water, groundwater, salt and plant growth. The main features of the SWAT-AG include that it can simulate the close interactions of soil water and shallow groundwater with considering the capillary rise effects; it provides functions to simulate the soil salt movement and salt-stress on plant growth; and it incorporates a balance-based module on a sub-basin scale for shallow aquifer with involving canal seepage and ditch drainage calculation. Model testing and application were conducted in Jiyuan Irrigation System located in the Hetao of upper Yellow River basin, northwest China. The comparison between simulated and observed data showed that the SWAT-AG performed well and obviously better than the original SWAT in simulating the soil water and salt dynamics, groundwater depth fluctuations, and plant growth and water consumption. The results showed that the NSE averagely increased from -17.57 to 0.57 and from 0.71 to 0.79 for soil water storage and leaf area index, respectively, in typical croplands and natural patches. In addition, the effects of shallow groundwater in sustaining the agro-ecosystems were reasonably revealed with the spatial analysis of evapo-transpiration, capillary rise and salt accumulation. The test case proved that the proposed SWAT-AG could efficiently enhance the functionality and practicality of hydrological models for agricultural watersheds with shallow groundwater.
机译:本文介绍了SWAT-AG(用于农药模型的改性SWAT),作为模拟浅水表浅水表中农业流域水文过程的增强水文模型。该模型是基于SWAT的框架开发的,具有描述VADOSE区水,地下水,盐和植物生长的相互作用的显着改进。 SWAT-AG的主要特点包括考虑毛细血管升起效应,模拟土壤水和浅层地下水的密切相互作用;它提供了模拟土壤盐运动和植物生长的盐胁迫的功能;它采用了基于余额的模块,用于浅含水层的子盆地,涉及运河渗流和沟渠排水计算。九源灌溉系统进行了模型试验和应用,位于中国西北地下黄河盆地的Hetao。模拟和观察数据之间的比较显示,SWAT-AG在模拟土壤水和盐动力学,地下水深度波动和植物生长和耗水量和耗水量方面表现出良好的,明显好于原始SWAT。结果表明,在典型的农田和天然贴片中,NSE分别从-17.57〜0.57增加到-17.57至0.57和0.71〜0.79。此外,随着蒸发蒸腾,毛细血管升高和盐积累的空间分析,浅地下水在维持农业生态系统方面的影响。试验案证明,拟议的SWAT-AG可以有效地提高农业流域水文模型的功能和实用性,浅层地下水。

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