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首页> 外文期刊>Environmental Monitoring and Assessment >Application of the index WQI-CCME with data aggregation per monitoring campaign and per section of the river: case study-Joanes River, Brazil
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Application of the index WQI-CCME with data aggregation per monitoring campaign and per section of the river: case study-Joanes River, Brazil

机译:WQI-CCME指数在每个监测活动和每条河段的数据汇总中的应用:案例研究-巴西乔恩斯河

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This work applied the Water Quality Index developed by the Canadian Council of Ministers of the Environment (WQI-CCME), to communicate the water quality per section of the Joanes River basin, State of Bahia, Brazil. WQI-CCME is a statistical procedure that originally requires the execution of at least four monitoring campaigns per monitoring location and the measurement of at least four parameters. This paper presents a new aggregation method to calculate the WQI-CCME because, to apply the original method in Joanes River, a huge loss of information would occur, by the fact that, the number of analyzed parameters varied between the monitoring campaigns developed by the Government Monitoring Program. This work modified the original aggregation method replacing it by a data aggregation for a single monitoring campaign, in a minimum of four monitoring locations per section of the river and a minimum of four parameters per monitoring location. Comparison between the calculation ofWQI-CCME for river sections, with the index, WQI-CETESB, developed by the Brazilian Environmental Sanitation and Technology Company-CETESB, proved the applicability of the new aggregation method. The WQI-CETESB has it bases on the WQI from the National Sanitation Foundation and uses nine fixed parameters. As WQI-CCME uses the totality of the analyzed parameters without restrictions, it is more flexible, and the results seem more adequate to indicate the real river water quality. However, the WQI-CCME has a more stringent water quality scale in comparison with the WQI-CETESB, resulting in inferior water quality information. In conclusion, the WQI-CCME with a new aggregation method is adequate for communicating the water quality at a given time, per section of a river, respecting the minimum number of four analyses and four monitoring points. As a result, without a need to wait for other campaigns, it reduces the cost of a monitoring program and the period to communicate the water quality. The adequacy of the WQI-CCME was similar to the finding of others.
机译:这项工作使用了加拿大环境部长理事会(WQI-CCME)制定的水质指数来传达巴西巴伊亚州Joanes流域每段的水质。 WQI-CCME是一种统计程序,最初需要在每个监视位置执行至少四个监视活动,并至少测量四个参数。本文提出了一种计算WQI-CCME的新的汇总方法,因为在Joanes River中应用原始方法,由于分析参数的数量在由Wane开发的监测活动之间变化,因此会发生大量信息丢失。政府监控计划。这项工作修改了原始的汇总方法,将其替换为单个监视活动的数据聚合,在河流的每个部分至少要有四个监视位置,每个监视位置要至少四个参数。由巴西环境卫生与技术公司-CETESB开发的指标为WQI-CETESB的河流段WQI-CCME计算方法的比较证明了该新的聚集方法的适用性。 WQI-CETESB基于国家卫生基金会的WQI并使用9个固定参数。由于WQI-CCME可以不受限制地使用所有分析参数,因此它更加灵活,结果似乎更适合指示实际河流水质。但是,与WQI-CETESB相比,WQI-CCME的水质等级更为严格,导致水质信息较差。总而言之,采用一种新的聚合方法的WQI-CCME足以在给定时间,一条河流的每段时间内传达水质,同时要考虑最少的四个分析和四个监测点。结果,它无需等待其他活动,从而减少了监控程序的成本以及传达水质的时间。 WQI-CCME的适用性与其他人的发现相似。

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