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面向水源地保护的生态环境智慧监管体系构建研究——以丹江口水库为例
Research on the Construction of an Intelligent Ecological Environment Supervision System for Water Source Protection: A Case Study of Danjiangkou Reservoir
投稿时间:2025-04-07  修订日期:2025-11-03
DOI:10.19316/j.issn.1002-6002.2025.S1.03
中文关键词:  水源地保护  生态环境智慧监管  丹江口水库  南水北调
英文关键词:water source protection  ecological environment intelligent supervision  Danjiangkou Reservoir  South-to-North Water Diversion Project
基金项目:
作者单位
刘刚 十堰市生态环境技术中心, 湖北 十堰 442000
丹江口库区水生态环境与健康十堰市重点实验室, 湖北 十堰 442000 
侯玉婷* 十堰市生态环境技术中心, 湖北 十堰 442000
丹江口库区水生态环境与健康十堰市重点实验室, 湖北 十堰 442000 
唐韧锋 十堰市生态环境技术中心, 湖北 十堰 442000
丹江口库区水生态环境与健康十堰市重点实验室, 湖北 十堰 442000 
周军 十堰市生态环境技术中心, 湖北 十堰 442000
丹江口库区水生态环境与健康十堰市重点实验室, 湖北 十堰 442000 
杨洋 十堰市环境应急与事故调查中心, 湖北 十堰 442000 
冯宇博 十堰市生态环境技术中心, 湖北 十堰 442000
丹江口库区水生态环境与健康十堰市重点实验室, 湖北 十堰 442000 
通讯作者:侯玉婷*  十堰市生态环境技术中心, 湖北 十堰 442000;丹江口库区水生态环境与健康十堰市重点实验室, 湖北 十堰 442000  
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中文摘要:
      饮用水安全关乎民生福祉与社会稳定,而水源地保护受困于监管范围广、污染源分散、响应滞后等问题,传统人防为主模式难以为继。为此,十堰市以"好用、管用、实用"为原则,创新构建丹江口库区水质安全保障"1336"智慧监管体系,依托1个指挥中心、3支专业化队伍、3大功能平台和6类智能监测系统,打造"水陆空天"一体化感知网络,打破部门数据壁垒,实现问题"发现—调度—处置—监督"全流程闭环管理,推动监管模式向人机交互、数据驱动、主动预警转型。2024年3月—2025年10月,十堰市通过"1336"智慧监管体系累计交办涉水问题6 808个,涉水信访量同比下降17.3%,有效推动监管工作从被动响应向主动防控转型,为大型跨区域水源地智慧化治理提供了可复制的实践样本。
英文摘要:
      Drinking water security is crucial to public well-being and social stability.However,the protection of water sources has long been challenged by extensive supervision areas,dispersed pollution sources,and delayed response mechanisms,making the traditional labor-intensive approaches unsustainable.To address these challenges,Shiyan City has developed an innovative "1336" intelligent regulatory system for water quality security in the Danjiangkou Reservoir—a key water source for the Middle Route of China's South-to-North Water Diversion Project.Guided by the principles of being "user-friendly,effective,and practical",the system integrates one command center,three specialized enforcement teams,three functional platforms,and six smart monitoring subsystems to establish an integrated "water-land-air-space" sensing network.By breaking down inter-departmental data silos,it enables end-to-end digital management of environmental issues from detection and dispatch to response and oversight.This promotes a shift in the supervision model toward human-machine collaboration,data-driven decision-making,and proactive early warning.From March 2024 to October 2025,the system has processed 6808 water-related issues,while water-related public complaints decreased by 17.3% year-on-year.This has effectively facilitated the transition of regulatory work from passive response to proactive prevention and control,offering a replicable model for intelligent governance of large-scale,cross-jurisdictional drinking water sources.
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