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A simulation model for estimating root zone saturation indices of agricultural crops in a shallow aquifer and canal system

机译:浅含水层和运河系统中农产品根带饱和索引的仿真模型

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Shallow aquifers significantly impact crop growth as saturated soil conditions may occur. Canals are widely constructed in such areas to mitigate groundwater saturation or flooding. We applied a simulation model to estimate the occurrence of root zone saturation [root zone saturation index (RZSI)] for agricultural crops and to identify factors that influence root zone saturation in a shallow coastal aquifer and canal system. Results indicated that groundwater modeling combined with multiple linear regression can relate the influencing factors and root zone saturation durations in low lying farmland adjacent to canal systems. In our study, most areas had a low RZSI, but areas towards the northwest and southeast where the land surface elevation is generally low were predicted to have a greater RZSI. In general, positive correlations were found between the root zone saturation durations and rainfall amount, antecedent groundwater table elevation and average canal stages in areas where the higher RZSIs were predicted. Rainfall amount played a more important role than antecedent groundwater table elevation and canal stage in determining the root zone saturation during the wet season, while antecedent groundwater table elevation and canal stage played a more important role than rainfall amount during dry season. Correlations between the predicted root zone saturation duration and land surface elevation were negative and stronger during the wet season than the dry season, and the correlations were stronger in the deep (0-61 cm) root zone than with the shallow (0-18 cm) root zone. In area where the land surface elevation is relatively high, the root zone saturation duration was not influenced by rainfall amount, antecedent groundwater table elevation or canal stage, at least under the current management practices and climate conditions.
机译:随着饱和土壤条件,浅含水层显着影响作物生长。运河广泛构建在这样的区域,以减轻地下水饱和或洪水。我们应用了模拟模型来估计农业作物根带饱和度[根饱和度指数(RZSI)]的发生,并识别影响浅沿海含水层和运河系统的根区饱和的因素。结果表明,地下水建模与多元线性回归相结合,可以涉及管道系统邻近的低洼耕地中的影响因素和根区饱和持续时间。在我们的研究中,大多数领域都有一个低的Rzsi,但朝向西北和东南的地区,陆地表面高度一般较低,预计具有更大的RZSI。通常,在预测较高RZSIS的区域的根区饱和持续时间和降雨量和降雨量之间,先前地下水台仰卧和平均运河阶段发现了正相关性。降雨量比在潮湿季节确定根带饱和度的前天地水位高度和运河阶段,降雨量发挥了更重要的作用,而前所未有的地下水台高度和运河阶段在干燥季节期间的降雨量发挥了更重要的作用。预测根区饱和持续时间和陆地表面升高之间的相关性在湿季节期间与旱季相比较强,并且在深(0-61厘米)根区中的相关性比浅(0-18厘米)根区域。在陆地仰角升高相对较高的区域中,根区饱和持续时间不受降雨量,前一种地下水台高度或运河阶段的影响,至少在当前的管理实践和气候条件下。

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