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Assessing the Impact of Irrigation Return Flow on River Salinity for Colorado's Arkansas River Valley

机译:评估灌溉回流对科罗拉多州阿肯色河流域盐度的影响

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A river salinity model has been developed on the 21 major canal areas in the lower Arkansas River Basin in Colorado to address the impact of irrigation return flow on the river. The quantity of the return flow is predicted by constructing response functions for tailwater, canal leakage, and in-field deep percolation so that the spatial and temporal distribution of the return flow can be simulated. A groundwater table surface is generated using water table elevation data from 974 wells in the study area to establish flow paths and travel time for ground-water. The quality of the return flow is predicted by simulating the evapoconcentration process in the root zone soil in which hydro-chemical reactions occur and affect the salinity of in-field deep percolation water. The effects of shallow water table and high soil salinity on crops are simulated to account for the impacts that these two factors have on crop consumptive use. Model calibration and validation over a 192-month period from January 1986 to December 2001 show strong agreement between the observed and simulated values of river flow volume and river salinity. The simulation results show that irrigation return flows, including tailwater and groundwater return flows, significantly increase river quantity, but that groundwater return flow is also a major component of river salinity. There is significant seasonal fluctuation in river salinity and soil water salinity. The increase of soil water salinity from the soil surface to the bottom of the root zone is significant and will cause salt to be loaded to the groundwater. The simulation from 1991-2001 indicates that 20.9% of the 19,944 million m~3 of irrigation water applied to Colorado's lower Arkansas Valley becomes canal leakage, 22.5% is in-field deep percolation, and 22.9% becomes tailwater. This study assesses the effect of reducing agricultural irrigation on river salinity. Consider the scenario of three major canals stopping irrigation and transferring a portion of the curtailed water to off-basin cities with the remaining portion released to the river. The results indicate that, in order not to increase river salinity for downstream reaches, the portion of water transferred to cities should not exceed 50%.
机译:在科罗拉多州阿肯色州下游流域的21条主要运河区域开发了河流盐度模型,以解决灌溉回流对河流的影响。通过构建针对尾水,渠道渗漏和现场深层渗流的响应函数,可以预测回流的数量,从而可以模拟回流的时空分布。使用研究区域中974口井的地下水位高程数据生成地下水位表面,以建立地下水的流动路径和传播时间。通过模拟发生水化学反应并影响田间深层渗滤水盐度的根区土壤中的蒸发浓缩过程,可以预测回流的质量。模拟了浅水位和高盐分对农作物的影响,以说明这两个因素对农作物消费使用的影响。从1986年1月到2001年12月的192个月期间的模型校准和验证表明,河流流量和盐度的观测值与模拟值之间具有很强的一致性。模拟结果表明,灌溉回水(包括尾水和地下水回水)显着增加了河水量,但地下水回水也是河流盐度的主要组成部分。河流盐度和土壤水盐度存在明显的季节性波动。从土壤表面到根部区域底部的土壤水盐分的增加是显着的,并且将导致盐分被加载到地下水中。 1991-2001年的模拟结果表明,在向科罗拉多州阿肯色州下游山谷提供的199.44亿立方米灌溉水中,有20.9%成为运河渗漏,22.5%是田间深层渗流,22.9%成为尾水。这项研究评估了减少农业灌溉对河盐度的影响。考虑以下情况:三个大运河停止灌溉,将一部分缩减的水输送到流域外的城市,其余部分则释放到河流中。结果表明,为了不增加下游河段的盐度,输入城市的水量不应超过50%。

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