Data Quality from a Community-Based, Water-Quality Monitoring Project in the Yukon River Basin
Data Quality from a Community-Based, Water-Quality Monitoring Project in
the Yukon River Basin
复制标题
育空河流域社区水质监测项目的数据质量
DOI：
10.5334/cstp.123
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
P. Schuster
中科院分区：
文献类型：
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作者：
Nicole M. Herman‐Mercer;R. Antweiler;N. J. Wilson;E. Mutter;R. Toohey;P. Schuster
本文考察了土著观测网收集的数据的质量，该观测网是阿拉斯加和加拿大育空河流域的一个以社区为基础的水质项目。土著观测网依靠社区技术人员从多达50个地点收集地表水样本，以实现监测育空河和流域主要支流水质的目标，并保持基线数据的长期记录，以衡量未来的变化。本文讨论了非专业人员收集的数据的准确性、精密度和可靠性。在标准数据生命周期的背景下审查本土观测网数据：计划、收集、保证和描述；与专业的科学活动相比。将土著观测网的实地和实验室协议和程序与专业科学家使用的协议和程序进行比较。土著观测网的数据在统计上与专业科学家通过对所有三个项目多年来报告的一组水质参数进行回顾性分析所收集的数据进行比较。在三个项目中，pH、钙、镁和碱度没有统计学差异，但在钠、氯化物、硫酸盐和钾浓度方面存在统计学显著差异。所发现的统计差异很小，在解释各种用途的数据方面可能并不显著。我们的研究结果表明，土著观测网数据质量高，通过一致的协议和参与者培训，基于社区的监测项目可以收集准确、精确和可靠的数据。
This paper examines the quality of data collected by the Indigenous Observation Network, a community-based water-quality project in the Yukon River Basin of Alaska and Canada. The Indigenous Observation Network relies on community technicians to collect surface-water samples from as many as fifty locations to achieve their goals of monitoring the quality of the Yukon River and major tributaries in the basin and maintaining a long-term record of baseline data against which future changes can be measured. This paper addresses concerns about the accuracy, precision, and reliability of data collected by non-professionals. The Indigenous Observation Network data are examined in the context of a standard data life cycle: plan, collect, assure, and describe; as compared to professional scientific activities. Field and laboratory protocols and procedures of the Indigenous Observation Network are compared to those utilized by professional scientists. The data of the Indigenous Observation Network are statistically compared to those collected by professional scientists through a retrospective analysis of a set of water-quality parameters reported by all three projects over a number of years. No statistical differences were found among the three projects for pH, Calcium, Magnesium, or Alkalinity, although statistically significant differences were found for Sodium, Chloride, Sulfate, and Potassium concentrations. The statistical differences found were small and likely not significant in terms of interpreting the data for a variety of uses. Our results suggest that Indigenous Observation Network data are of high quality, and with consistent protocols and participant training, community based monitoring projects can collect data that are accurate, precise, and reliable.