APPLICATION OF A MULTI-METHOD COLLABORATIVE SUBMERGED OUTFALL IDENTIFICATION TECHNOLOGY SYSTEM
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摘要: 入河(海)排污口等点源污染与地表水环境质量密切相关,也是造成生态环境污染的主要原因。科学、有效地监测、评价和整治水环境污染,系统全面地掌握入河(海)排污口的各项数据并纳入水生态环境智能监测监管系统数据库中至关重要。针对水下排污口难以排查取证的技术痛点,基于声学、光学等多种探测手段建立了1套多源数据融合的水下排污口二级排查技术体系。以上海市某镇河道水下排污口排查为例,通过多方法协同,在累计35.5 km的岸线排查区域内共识别定位了51处疑似水下排污口,其中49处复核确认存在,排查成功率为96.1%。具体的,新发现水下排污口18处,已有登记的水下排污口31处也均被识别发现,即对已知水下排污口的排查成功率达到100%,进一步验证了二级排查技术体系的可靠性,为透明规范排污、科学精准治污及生态环境保护提供了翔实的基础数据。Abstract: Point source pollution, such as rivers (seas) sewage outfalls, is closely related to the environmental quality of surface water. It is also the main cause of ecological environment pollution. Scientific and effective monitoring, evaluation and remediation of water environment pollution, systematically mastering the data of the rivers (seas) outfalls, and combining it into the water ecological environment intelligent monitoring and supervision system database is essential. In this paper, for the objective problem that submerged outfalls are difficult to investigate and review, a set of multi-source data fusion technology systems for secondary investigation of submerged outfalls was established based on acoustic, optical and other detection means. Taking a survey in a Town in Shanghai as an example, 51 suspected submerged outfalls were identified and located within a total of 35.5 km of shoreline survey area by multi-method collaboration. Among them, 49 locations were reviewed and confirmed to be present, with a success rate of 96.1%. After the review, 18 new submerged outfalls were found, and 31 registered submerged outfalls were also identified, i.e. the success rate of the known underwater outfalls reached 100%, which further verified the reliability of the secondary survey technology system. This also provides detailed basic data for the transparent regulation of emissions, scientific and precise pollution control and ecological environmental protection.
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