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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Combining Spatial Analysis and a Drinking Water Quality Index to Evaluate Monitoring Data
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Combining Spatial Analysis and a Drinking Water Quality Index to Evaluate Monitoring Data

机译：结合空间分析和饮用水水质指数评估监测数据

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Drinking water monitoring is essential for identifying health-related risks, as well as for building foundations for management of safe drinking water supplies. However, statistical analyses of drinking water quality monitoring data are challenging because of non-normal (skewed distributions) and missing values. Therefore, a new method combining a water quality index (WQI) with spatial analysis is introduced in this paper to fill the gap between data collection and data analysis. Water constituent concentrations in different seasons and from different water sources were compared based on WQIs. To generate a WQI map covering all of the study areas, predicted WQI values were created for locations in the study area based on spatial interpolation from nearby observed values. The accuracy value of predicted and measured values of our method was 0.99, indicating good predication performance. Overall, the results of this study indicate that this method will help fill the gap between the collection of large amounts of drinking water data and data analysis for drinking water monitoring and process control.
机译：饮用水监测对于识别与健康相关的风险以及为管理安全饮用水供应奠定基础至关重要。然而，由于非正态（分布偏斜）和数值缺失，对饮用水水质监测数据进行统计分析具有挑战性。因此，本文提出了一种将水质指数（WQI）与空间分析相结合的新方法，以填补数据收集与数据分析之间的空白。根据WQI，比较了不同季节和不同水源的水成分浓度。为了生成覆盖所有研究区域的WQI地图，基于附近观测值的空间插值，为研究区域中的位置创建了预测的WQI值。我们的方法的预测值和测量值的准确性值为0.99，表明良好的预测性能。总体而言，这项研究的结果表明，该方法将有助于填补大量饮用水数据的收集与饮用水监测和过程控制的数据分析之间的空白。

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