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Prediction of Nitrate Distribution Process in the Groundwater via 3D Modeling
Environmental Modeling & Assessment ( IF 2.4 ) Pub Date : 2019-07-31 , DOI: 10.1007/s10666-019-09671-z
Fereshteh Valivand , Homayoon Katibeh

The main purpose of this study was to model nitrate and its spatial and temporal variations under hydrological tensions. For this purpose, the hydrodynamic characteristics and transmission of Varamin plain groundwater were modeled after collecting and organizing the field data. Qualitative data were imported to the quantitative GMS model constructed by using the MODLFLOW code. Then, quantitative and qualitative models were calibrated. Measured and model predicted values were compared and relatively acceptable results were obtained. The most important factor in deteriorating the groundwater quality was nitrate pollution related to the agricultural areas which will exceed the permissible limits of drinking water during a 10-year period. Also, according to the model maps of the unconfined aquifer, the highest content of nitrate was related to downstream areas of the big cities. Since the confined aquifer is overlaid by an impermeable layer, it is less affected by nitrate pollution and contains high-quality drinking water. However, population growth and subsequent increase in agricultural activities and human sewage disposal may lead to further pollution of the unconfined aquifer by nitrate.



中文翻译:

通过3D建模预测地下水中的硝酸盐分布过程

这项研究的主要目的是模拟硝酸盐及其在水文张力下的时空变化。为此,在收集和整理现场数据后,对瓦拉明平原地下水的水动力特性和传输进行了建模。将定性数据导入到使用MODLFLOW代码构建的定量GMS模型中。然后,对定量和定性模型进行校准。比较了测量值和模型预测值,并获得了相对可接受的结果。导致地下水水质恶化的最重要因素是与农业地区有关的硝酸盐污染,这将在10年内超过饮用水的允许极限。另外,根据无侧限含水层的模型图,硝酸盐含量最高与大城市的下游地区有关。由于密闭含水层被不透水层覆盖,因此它受硝酸盐污染的影响较小,并且包含优质饮用水。然而,人口的增长以及随之而来的农业活动和人类污水处理的增加可能导致硝酸盐对无限制含水层的进一步污染。

更新日期:2020-04-23
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