Spatial analysis of industrial contamination using road sediment in a heavily urbanized area

Northern Lake County, Indiana, United States, is a heavily industrialized area, containing steel mills, oil refineries, and chemical manufacturers surrounded by extensive residential neighborhoods. In this study, 387 road sediment samples were collected from 332 sampling sites in Northern Lake County across two years. The samples underwent particle-induced x-ray emission and gamma-ray emission spectroscopy at the University of Notre Dame to quantify up to 25 elements in each sample. Empirical Bayesian Kriging geospatial analysis and Positive Matrix Factorization were completed to identify potential contamination hotspots and sources using geoaccumulation indices and contamination factor calculations. This dataset includes processed elemental concentrations for all samples, in addition to calculated geoaccumulation indices and contamination factors. Latitude and longitude data is not included to protect the privacy of residents who live near sampling sites, but is available upon request.美国印第安纳州北莱克县属于高度工业化区域，境内分布钢铁厂、炼油厂与化工制造企业，周边环绕大片居民区。本研究于两年周期内，在北莱克县的332个采样点位中共采集387份道路沉积物样品。所有样品均于圣母大学（University of Notre Dame）开展粒子诱导X射线发射（particle-induced X-ray emission）与伽马射线发射光谱分析，以定量测定每份样品中最多25种元素的含量。本研究采用经验贝叶斯克里金（Empirical Bayesian Kriging）地理空间分析与正矩阵因子分解（Positive Matrix Factorization）方法，结合地累积指数与污染因子计算，识别潜在污染热点区域与污染来源。本数据集包含所有样品的处理后元素浓度数据，以及计算得到的地累积指数与污染因子。为保护采样点位附近居民的隐私，数据集未包含经纬度坐标，但可通过申请获取该数据。