Groundwater is one of the major resources to supply the agriculture and urban water demand. Vulnerability of groundwater resources due to chemical substances is a crucial concern for groundwater quality management. The different nitrogen compounds, especially nitrate, plays an important role in groundwater quality. In last two decades, the efficient approaches called soft computing (SC) models were used for assessing the groundwater pollution. This study aims to assess the applications of various SC models for simulating the groundwater pollution due to nitrate contamination. In this way, the past trends and current applications of those models and essential factors required for assessing the ground water quality are demonstrated. Ultimately, several research gaps and possible future research direction are proposed.

地下水是满足农业和城市用水需求的主要资源之一。化学物质引起的地下水资源脆弱性是地下水质量管理的关键问题。不同的氮化合物，尤其是硝酸盐，对地下水质量起着重要作用。在过去的二十年中，称为软计算（SC）模型的有效方法用于评估地下水污染。这项研究旨在评估各种SC模型在模拟硝酸盐污染引起的地下水污染中的应用。这样，可以证明这些模型的过去趋势和当前应用以及评估地下水质量所需的基本因素。最终，提出了几个研究空白和可能的未来研究方向。