Federação das Indústrias do Estado da Bahia, Rua Edistio Pondé, 342, STIEP, Salvador, Bahia, 41770-395, Brazil.
Departamento de Engenharia Ambiental, Escola Politécnica, Universidade Federal da Bahia, Rua Aristides Novis, 2, Federação, Salvador, Bahia, 40210-630, Brazil.
Environ Monit Assess. 2018 Mar 7;190(4):195. doi: 10.1007/s10661-018-6542-5.
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 of WQI-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.
本工作应用加拿大环境部长理事会(CCME)开发的水质指数(WQI-CCME),对巴西巴伊亚州若阿恩斯河(Joanes River)流域各段的水质进行了描述。WQI-CCME 是一种统计程序,最初要求在每个监测点至少进行四次监测活动,并测量至少四个参数。本文提出了一种新的聚合方法来计算 WQI-CCME,因为在若阿恩斯河应用原始方法会导致大量信息丢失,这是因为在政府监测计划所开展的各项监测活动中,分析参数的数量有所不同。本文修改了原始的聚合方法,用一种单一监测活动的数据聚合方法进行替代,即在河流各段的每四个监测点和每个监测点的至少四个参数中进行数据聚合。通过将各河段的 WQI-CCME 计算与巴西环境卫生和技术公司-CETESB 开发的 WQI-CETESB 指数进行比较,证明了新聚合方法的适用性。WQI-CETESB 基于美国国家环境卫生基金会(National Sanitation Foundation)的 WQI,并使用九个固定参数。由于 WQI-CCME 不受限制地使用所有分析参数,因此更加灵活,结果似乎更能准确反映实际的河水水质。然而,与 WQI-CETESB 相比,WQI-CCME 的水质尺度更为严格,导致水质信息较差。总之,应用新聚合方法的 WQI-CCME 能够在满足每个河段最低四个分析和四个监测点的条件下,在特定时间内对水质进行描述。因此,无需等待其他监测活动,该方法降低了监测计划的成本和水质描述的周期。WQI-CCME 的适用性与其他研究结果相似。