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基于QUAL2Kw的来源识别和修复策略评估城市河流中黑色和有味道的水

Eryang Zheng¹, Yuqiu Wang², Yingpeng Zhang¹

¹Municipal Engineering Design Institute, Hunan Provincial Communications Planning, Survey & Design Institute Co., Ltd., No. 598 Yueliangdao Road, Changsha, 410200, China.

Environmental monitoring and assessment

|January 12, 2026

概括

这项研究开发了一种综合模型,以确定城市河流中的污染源. 综合整治措施显著改善了水质,满足了环境标准.

科学领域:

环境科学环境科学
水资源管理水资源管理
城市生态城市生态学

背景情况:

城市河流经常受到黑色和臭水的影响,这给水资源治理带来了挑战.
识别污染源和优化整治策略对于城市水资源管理至关重要.

研究的目的:

开发和验证一个综合模型,用于在城市河流中识别污染源和优化整治战略.
评估黑色和臭水多重工程修复措施的有效性.

主要方法:

集成的QUAL2Kw模型与自主开发的污染源贡献模块 (两步方法).
模拟污染物迁移和评估清理效率在青运河,天津.
来自点源 (国内污水),非点源 (农田排水) 和源水 (雨水排水,水库排水) 的量化贡献.

主要成果:

综合模型成功量化了污染源的贡献.
综合修复措施 (通风,补水,源控制) 实现了显著的污染物去除率:COD (44.0%),NH3-N (47.5%),TN (54.1%),TP (70.0%).
处理后的水质指标符合GB 3838-2002第V类标准.

结论:

综合模型提供了一个有效的框架,用于识别城市黑色和有气味的河流中的污染源.
多重工程整治策略可以大大改善受污染的城市水道的水质.
这种方法支持针对城市水治理和河流恢复的有针对性的科学战略.

关键词:

黑色的水和有臭味的水.污染源的识别和识别我们的 QUAL2Kw 模型.青运河是青的运河之一.整治策略整治策略

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