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首页> 外文期刊>Journal of Hydroinformatics >Centinela: an early warning system for the water quality of the Cauca River
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Centinela: an early warning system for the water quality of the Cauca River

机译:Centinela:高加索河水质预警系统

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摘要

The Cauca River is the drinking water source for 1.3 million inhabitants of the city of Cali, Colombia. Although the river discharge is sufficient to handle the water demand of the city all year long, significant water pollution events cause frequent disruption to the Puerto Mallarino Treatment Plant (PMTP) and the water supply service, with substantial social and economic impacts on the city. The sources of pollution include wastewater discharges upstream of the PMTP and important sediment transport from the upstream sub-catchments during heavy rainfall events. Both situations can lead to a closure of the PMTP when the presence of a pollution plume at its intake is evident. This paper presents the design and prototype of a water quality early warning system to anticipate the peaks of pollution in the river, in order to assist the operators in taking timely informed decisions about the operation of the treatment plant. As the published experiences of early warning systems for similar water pollution problems are very limited, the approach to solve the problem using hydroinformatics technologies is worth documenting for utility companies with a similar problem.
机译:高加索河是哥伦比亚卡利市130万居民的饮用水源。尽管全年的河流排放量足以满足该市的用水需求,但重大的水污染事件导致波多黎各马略利诺污水处理厂(PMTP)和供水服务频繁中断,对城市产生了巨大的社会和经济影响。污染源包括PMTP上游的废水排放和暴雨期间上游子集水区的重要泥沙输送。当明显地在其入口处存在污染羽流时,两种情况都可能导致PMTP关闭。本文提出了一种水质预警系统的设计和原型,以预测河流中的污染高峰,以帮助运营商及时做出有关污水处理厂运营的明智决策。由于针对类似水污染问题的预警系统的已发布经验非常有限,因此对于类似问题的公用事业公司,使用水信息学技术解决问题的方法值得记录。

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