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Assessing the representativeness of a groundwater quality monitoring network

机译:评估地下水水质监测网络的代表性

摘要

The monitoring sites comprising a state of the environment (SOE) network must be carefully selected to ensure that they will be representative of the broader resource. Hierarchical cluster analysis (HCA) is a data-driven technique that can potentially be employed to assess the representativeness of a SOE monitoring network. The objective of this paper is to explore the use of HCA as an approach for assessing the representativeness of the New Zealand National Groundwater Monitoring Programme (NGMP), which is comprised of 110 monitoring sites across the country.
机译:必须仔细选择组成环境状态(SOE)网络的监视站点,以确保它们将代表更广泛的资源。层次聚类分析(HCA)是一种数据驱动的技术,可以潜在地用于评估SOE监视网络的代表性。本文的目的是探索使用HCA作为评估新西兰国家地下水监测计划(NGMP)代表性的方法,该计划由全国110个监测点组成。

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