黄河流域内蒙古段夏季湖泊水环境特征及污染源解析

Characteristics of lake water environment and source apportionment in the Inner Mongolia section of the Yellow River Basin

  • 摘要: 为探索黄河流域内蒙古段区域内不同溶解性总固体(TDS)浓度湖泊水环境质量及其污染特征,选取黄河流域内蒙古段97个典型湖泊,按TDS浓度梯度将湖泊分为L1~L5五大类群(L1为卤水湖、L2为盐水湖、L3为咸水湖、L4为微咸水湖、L5为淡水湖),基于11项水质指标,运用水质指数法(WQI)、层次聚类分析(HCA)、正定矩阵因子分解(PMF)模型等,分类探索了五大类群湖泊的水环境质量及其污染源特征。结果表明,黄河流域内蒙古段各湖泊WQI水质指数评价结果多数集中在差(占比34.02%)和中等(占比55.68%)区间,仅有5个湖泊水质达到了良好;聚类分析表明,以TDS作为分类指标能够有效表征区域湖泊水环境质量差异。采用PMF模型解析出湖泊的5个污染源,COD主要受畜禽养殖污染影响,TN主要受地表径流污染影响,TP主要受农业种植污染影响,NH3-N主要受农村生活污染影响,DO主要受自然源影响。L1、L5类群湖泊以地表径流-农业复合污染为主(占比分别为28.72%、38.23%),L2类群湖泊以农村生活污染为首要来源(占比31.81%),L3、L4类群湖泊中自然源和畜禽养殖污染贡献率最高,分别为30.35%和41.73%。本研究量化了不同TDS浓度梯度湖泊的污染源贡献率,为黄河流域内蒙古段湖泊的差异化治理提供了依据。

     

    Abstract: In order to explore the water environment quality and pollution characteristics of lakes with different total dissolved solids (TDS) concentrations in the Inner Mongolia section of the Yellow River Basin, ninety-seven typical lakes in the Inner Mongolia section of the Yellow River Basin were studiedd and classified into five categories from L1 to L5 according to TDS gradient: L1 for brine lake, L2 for salt lake, L3 for brackish lake, L4 for slightly brackish lake, L5 for fresh water lake. Based on 11 water quality indicators, the water quality index method (WQI), hierarchical cluster analysis (HCA), and positive matrix factorization (PMF) model were used to categorize and explore the characteristics of the water quality of the lakes in the five categories and their pollutant sources. The results showed that most of the lakes in the Inner Mongolia section of the Yellow River Basin had poor (34.02%) and moderate (55.68%) water quality, and only five lakes had good water quality. The cluster analysis showed that it was scientifically and practically feasible to categorize lakes based on the TDS to explore the water environment quality. Using the PMF model, five pollution sources for that lake were identified: COD was mainly affected by livestock and poultry breeding pollution; TN was mainly affected by surface runoff pollution; TP was mainly affected by agricultural cultivation pollution; NH3-N was mainly affected by rural life pollution; DO was mainly affected by natural sources. Surface runoff-agriculture composite pollution was dominant in lakes L1 and L5 (28.72% in L1 and 38.23% in L5), rural life pollution was dominant in lakes L2 (accounting for 31.81%), and the highest contribution of natural sources and livestock and poultry pollution was found in L3 and L4, which were 30.35% and 41.73%, respectively. These findings quantify the contribution rate of pollution sources in lakes with different gradient TDS concentrations, which provides a basis for differentiated management of lakes in the Inner Mongolia section of the Yellow River Basin.

     

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