基于多元统计方法的某地浅层地下水污染来源分析

为查明某地农田灌溉水井水质污染致使作物生长受损事件的污染来源,对研究区10眼水井进行了水质检测分析,并采用多元统计方法判断污染来源。结果表明:研究区水样中全盐量普遍超过农田灌溉水质标准,总硬度、硫酸盐、氨氮和氰化物等也存在不同程度的超标;水样中全盐量、氨氮与氰化物的含量之间存在显著正相关,具有共同的来源,且与河流A补给关系密切;地下水中盐分过高是造成作物受损的主要原因;地下水中全盐量、氨氮及氰化物等主要污染物来源于上游的焦化企业。基于多元统计方法的地下水污染来源分析结果可为当地地下水污染防治及管控提供环境管理依据。

Analysis of Shallow Groundwater Pollution Sources in a Certain Area Based on Multivariate Statistical Approaches

In order to identify the water pollution sources resulting in the loss of crop growth, water quality detection and analysis were carried out on 10 wells used for farmland irrigation in the study area, and multivariate statistical methods were used to pinpoint the source of pollution. The results indicated that:the total salt content of the groundwater samples in the study area generally exceeded the standard for irrigation water quality in China, and the total hardness, sulfate, ammonia nitrogen and cyanide were also exceeded the standard with varying degrees. There was a significant positive correlation between total salt content, ammonia nitrogen and cyanide content in groundwater samples, which indicated they have a common source that is closely related to A River supply. The high salinity in groundwater was the main cause of crop loss. The total salt content, ammonia nitrogen and cyanide in the groundwater come from the coking plants upstream. The results of groundwater pollution source analysis based on multivariate statistical methods can provide a reference to pollution prevention and control of the local underground water.