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石家庄平原区地下水污染源解析与驱动因素研究OACHSSCD

Study on Pollution Source Apportionment and Driving Factors of Groundwater in Shijiazhuang Plain Area Based on Positive Matrix Factorization(PMF)and PSO-AdaBoost Algorithm

中文摘要英文摘要

为系统评估石家庄平原区浅层地下水水质并解析硝酸盐氮(NO3-N)及部分阴离子污染来源与驱动因素,研究采集 41 个浅层地下水样本,采用改进的内梅罗指数法评价水质,通过正定矩阵因子分析(PMF)模型识别污染源,结合粒子群优化-自适应提升算法(PSO-Adaboost)与 SHAP 方法量化环境因子驱动作用.结果显示,31.71%的样本未达Ⅲ类水质标准,NO3-N 超标率 29.27%,其次为 SO42- 和 Cl-,三者空间分布呈西高东低特征,改进的内梅罗指数法表明 63.41%的样本水质较差.PMF 模型识别出工矿活动源(29.26%)、生活-农业复合源(41.78%)和水岩相互作用源(28.96%),生活-农业复合源为主要污染源.环境因子分析表明土壤水分和人口密度是该复合源的核心驱动因子,因此应加强城乡污水收集与处置并优化灌溉管理.

To systematically evaluate the shallow groundwater quality in the Shijiazhuang Plain and to identify the sources and driving factors of nitrate nitrogen(NO3-N)and certain anion pollution,41 shallow groundwater samples were collected.The modified Nemerow index method was employed for comprehensive water quality assessment,pollution sources were identified using the Positive Matrix Factorization(PMF)model,and the Particle Swarm Optimization-Adaptive Boosting(PSO-Adaboost)algorithm combined with the SHAP method was applied to quantify the driving effects of environmental factors.The results showed that 31.71%of the samples did not meet the Class Ⅲ water quality standard,with an exceedance rate of 29.27%for NO3-N,followed by SO42- and Cl-.These three parameters generally exhibited a spatial pattern of higher concentrations in the west and lower in the east.The modified Nemerow index indicated that 63.41%of the samples were of poor quality.The PMF model identified three sources:industrial and mining activities(29.26%),domestic-agricultural mixed sources(41.78%),and water-rock interactions(28.96%),among which the domestic-agricultural mixed source was the dominant contributor.Environmental factor analysis revealed that soil moisture and population density are the key drivers of this mixed source.Therefore,strengthening wastewater collection and treatment in urban and rural areas,along with optimizing irrigation management,should be prioritized.

刘洋;夏迎秋;胡应菊;季佳运

河北地质大学 水资源与环境学院,河北 石家庄 052161||河北地质大学 河北省水资源可持续利用与产业结构优化协同创新中心,河北 石家庄 052161河北地质大学 城市地质与工程学院,河北 石家庄 052161云南经济管理学院 建筑工程学院,云南 昆明 650300河北地质大学 城市地质与工程学院,河北 石家庄 052161

资源环境

地下水源解析驱动因素石家庄平原区正定矩阵因子分析粒子群优化-自适应提升算法

groundwatersource apportionmentdriving factorsShijiazhuang PlainPMFPSO-Adaboost

《河北地质大学学报》 2026 (3)

77-86,10

河北省自然科学基金(D2025403076)2025年河北省在读研究生创新能力培养资助项目(CXZZSS2025103)第二十届学生科研专项项目暨河北省水资源可持续利用与产业结构优化协同创新中心研究生科技创新计划项目(XTZX01)

10.13937/j.cnki.hbdzdxxb.2026.03.009

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