研究报告
熊鸿斌,张斯思,匡武,吴蕾,朱慧娈.基于MIKE11模型入河水污染源处理措施的控制效能分析[J].环境科学学报,2017,37(4):1573-1581
基于MIKE11模型入河水污染源处理措施的控制效能分析
- Control measure efficiency analysis of estuarine water pollution sources based on MIKE11 model
- 基金项目:安徽省省级环保科研课题(No.2015-13);国家水体污染控制与治理科技重大专项(No.2015ZX07204-007)
- 熊鸿斌
- 合肥工业大学 资源与环境工程学院, 合肥 230009
- 张斯思
- 1. 合肥工业大学 资源与环境工程学院, 合肥 230009;2. 安徽省环境科学研究院, 安徽省污水处理技术研究重点实验室, 合肥 230022
- 匡武
- 安徽省环境科学研究院, 安徽省污水处理技术研究重点实验室, 合肥 230022
- 吴蕾
- 安徽省环境科学研究院, 安徽省污水处理技术研究重点实验室, 合肥 230022
- 朱慧娈
- 安徽省环境科学研究院, 安徽省污水处理技术研究重点实验室, 合肥 230022
- 摘要:为分析入河水污染源不同处理措施的控制效能,以中国多闸坝重污染河流的典型代表—涡河为例,针对"引江济淮"工程涡河段的水质改善需求,以涡河主要污染物COD、氨氮为指标,应用MIKE 11模型建立能客观反映模拟河段水动力、水质时空演变规律的模型;结合情景分析方法对涡河流域入河水污染源不同处理措施的控制效能进行量化评估.模拟结果表明:截污是改善"引江济淮"工程涡河段水质的关键,可降低约18.9%~36.8%的COD入河负荷,以及13.9%~26.3%的氨氮入河负荷;提高污水厂的处理量是改善"引江济淮"工程涡河段水质的有效措施,可削减15.0%的COD和10.8%的氨氮污染;综合处理措施优于单一措施,通过截污、提高污水厂的处理量和排放标准可以使86%以上的河段达到IV类水体要求.本研究结果可为"引江济淮"工程沿线的水污染防治提供技术支持,同时为河流综合治理工程决策提供借鉴和依据.
- Abstract:In order to assess the efficiency of river pollution control measures on improving the water quality of Guo River, in the project of leading water from Yangtze to Huaihe River was simulated by using the MIKE 11 model. The special-temporal evolution of COD and ammonia nitrogen and scenario analysis were employed to investigate water quality improvement. The result showed that sewage interception would be the most effective way to improve the water quality, which could decrease COD concentration from 18.9% to 36.8% and ammonia nitrogen concentration from 13.9% to 26.3%, respectively. on the other hand, increasing treatment capacity could reduce COD by 15.0% and ammonia nitrogen concentration by 10.8%. integrated control measures were better than any single approach. A comprehensive plan including sewage interception, upgrading wastewater treatment plant effluents and increasing practical treatment capacity, could reduce the COD and ammonia nitrogen greatly, and over 86% of river water quality achieved the Class IV surface water standard of China (GB3838—2002). The result could provide technical support and evidence to control water pollution in the project of leading water from Yangtze to Huaihe River.
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