开发"大数据"地下水微生物污染指数,并与安大略省南部肠道感染率进行空间比较
Ioan Petculescu1, Paul Hynds2, R Stephen Brown1
1School of Environmental Studies, Queen's University, 99 University Ave, Kingston, ON, Canada.
The Science of the total environment
|July 7, 2024
概括
这项研究使用大数据分析开发了新的地下水污染指数. 盖蒂斯-奥德Gi* (Gi*) 指数有效地反映了地下水质量,与细菌感染相关,提供了一个新的公共卫生工具.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 大数据为开发特定空间的地下水污染指数提供了潜力.
- 现有的方法还没有充分利用大型数据集来评估地下水质量和保护公共健康.
- 来自100多万口井的微生物水质数据为分析提供了独特的机会.
研究的目的:
- 使用大数据开发和评估新的地下水污染指数.
- 评估地下水污染的空间和时间模式.
- 为了将这些指数与人类肠道感染率相关联.
主要方法:
- 对来自292,638个井 (2010-2021) 的大量数据集 (1,104,094个样本) 的分析.
- 使用的非大肠杆菌 (NEC) 和大肠杆菌度,以及NEC:E. coli的比率.
- 使用的空间统计:Getis-Ord Gi* (Gi*),Local Moran's I (LMI) 和时空扫描用于索引开发和热点/冷点识别.
主要成果:
- 盖蒂斯-奥尔德Gi* (Gi*) 方法在指数开发中被证明是最有效的.
- 开发的Gi*指数与井密度没有相关性,表明人口密度没有偏差.
- 在年轻人群中,Gi*指数与肠道感染率正相关,特别是细菌感染 (Campylobacter,VTEC).
结论:
- 开发的Gi*指数是长期地下水质量的强大时空指标.
- 很大一部分细菌感染与地下水污染有关.
- 该NEC:大肠杆菌比率指数提供了除了单独监测大肠杆菌外,对污染机制的补充见解.
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