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来自密歇根州底特律的现场工作的饮用水质量数据集

Alyssa Schubert¹, Jacob Harrison¹, Linda Kent-Buchanan²

¹University of Michigan, Department of Civil and Environmental Engineering, Ann Arbor, USA.

Scientific data

|May 3, 2024

概括

新的传感器技术在家中提供频繁,实时的饮用水质量数据. 这项研究监测了底特律的五个参数,提供了对水质在使用点的见解.

科学领域:

环境科学环境科学
公共卫生公共卫生
水资源管理水资源管理

背景情况:

先进的传感器技术使得饮用水质量的详细监测成为可能.
尽管有潜力了解使用点的水质,但现场管道监测仍未得到充分利用.
城市的传统水系统为水质管理带来了独特的挑战.

研究的目的:

评估在住宅场所管道内部署在线饮用水质量传感器节点的可行性和实用性.
在现实环境中收集高频,多参数的水质数据.
建立一个数据集来分析饮用水质量的时间趋势和异常.

主要方法:

在线饮用水质量传感器节点安装在密歇根州底特律的24个家庭.
在四周内,每五分钟测量五个水质参数.
每个家庭的自由和含量也定期采样.

主要成果:

创建了一个全面的数据集,记录了饮用水质量随着时间的推移.
数据显示频繁测量,超过了场所管道的典型监测能力.
该数据集适用于调查日间模式,异常检测和城市间比较.

结论:

实时传感器部署在建筑物管道中可以显著提高对饮用水质量的理解.
收集的数据集为传统城市系统的水质研究和管理提供了宝贵的资源.
这种方法可以为确保在使用点提供安全饮用水的策略提供信息.

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