于桥水库生态环境保护方案效益评估研究

发布时间：2018-03-10 16:41

  本文选题：于桥水库　切入点：非点源污染　出处：《河北工业大学》2015年硕士论文　论文类型：学位论文

【摘要】：于桥水库是天津市的重要水源地,近年来,其生态环境受到了很大的破坏。针对于桥水库库区生态环境质量下降,水体富营养化加剧的趋势,天津市开展了于桥水库周边水污染源治理工程,后又编制《于桥水库生态环境保护方案》对改善于桥水库生态环境,治理流域内污染源,保障饮用水源安全等工作进行规划。本研究调查分析了于桥水库流域水污染源分布概况以及水环境现状,结合研究区实际情况,应用避免过多考虑复杂的污染产生和迁移机理过程,所需参数较少,操作较简便,且又具有一定的精度,适用于中大尺度区域长期年均污染负荷估算与预测的输出系数模型对库区非点源污染负荷和入库污染负荷以TN和TP为计算指标进行了估算。结果表明,2012年,研究区非点源污染负荷总量为TN1137.70t,TP为278.57t,非点源污染入库总量TN为327.47t,TP为50.74t;考虑上引滦输水和支流汇水带来的污染负荷,于桥水库入库污染负荷TN达到2790.47t,TP达到315.74t。由于于桥水库上游来水污染负荷与当地气候及降水等因素相关,具有极大的不确定性,本文应用灰色预测模型对于桥水库TN、TP的入库量进行了预测,结果显示,2015年,TN入库量将达到3213.11t,TP入库量将达到316.98t。对于桥水库生态环境保护方案进行分析,主要包括流域社会经济调控方案、流域水土资源调控方案、流域污染防治工程方案、流域生态保护工程方案及生态环境监管和综合管理方案。对方案制定的治理工程进行环境效益评估,包括主要污染物减排项目、生态修复项目、能力建设项目、产业结构调整项目和其他项目等五大类31项重点工程。结果表明,各项主要工程项目发挥效益后,年去除污染物TN、TP入库量将分别达到1390.92t、91.6t。通过与使用湖泊外力函数得出的水质目标下的TN、TP应削减量1336.70t、90.53t进行比对可知,到2015年,在各项工程按时完成并运行良好、上游来水达到地表水Ⅲ类标准的情况下,于桥水库的TN、TP年入库量将达到允许入库的标准,可以满足水质目标要求下的氮磷削减目标,保证方案的整体效果。根据以上的研究,对制定的环保方案的环境效益进行了估算,预评方案的实施效果,并总结提出于桥水库库区周边水污染源治理及生态修复的后续政策建议。
[Abstract]:Yuqiao Reservoir is an important water source in Tianjin. In recent years, its ecological environment has been greatly damaged. Tianjin has carried out the water pollution source treatment project around Yuqiao Reservoir, and then worked out the "Yuqiao Reservoir Ecological Environment Protection Program" to improve the ecological environment of Yuqiao Reservoir and to control the pollution sources in the basin. This study investigated and analyzed the distribution of water pollution sources and the present situation of water environment in Yuqiao Reservoir Basin, combined with the actual situation of the study area. The application avoids excessive consideration of complex pollution generation and transport mechanism, which requires less parameters, is easy to operate, and has a certain accuracy. The output coefficient model, which is suitable for estimating and forecasting the long-term annual pollution load in the middle and large scale area, is used to estimate the non-point source pollution load and the incoming pollution load in the reservoir area. TN and TP are taken as the calculation indexes. The results show that in 2012, The total amount of non-point source pollution load is 278.57 t, the total TN of non-point source pollution input is 327.47 t / t TP is 50.74 t, considering the pollution load caused by upper water diversion and tributary catchment water, the total amount of pollution load is 278.57 t, and the total TN of non-point source pollution input is 327.47 t / t TP is 50.74 t. The pollution load TN of Yuqiao Reservoir reaches 2790.47 t / t TP to 315.74 t. Because the water pollution load from upstream of Yuqiao Reservoir is related to local climate and precipitation, it has great uncertainty. In this paper, the grey prediction model is used to predict the input amount of TNT TP in Yuqiao Reservoir. The results show that in 2015, the input amount of TN will reach 3213.11 t ~ (-1) TP and reach 316.98 t. The ecological environment protection scheme of Yuqiao Reservoir is analyzed. Mainly including river basin social and economic control program, watershed water and soil resources control program, watershed pollution prevention and control project, Project of ecological protection of watershed and plan of ecological environment supervision and integrated management. Environmental benefit assessment of the project is carried out, including major pollutant emission reduction projects, ecological restoration projects, and capacity-building projects. There are 31 key projects in five categories, including industrial restructuring projects and other projects. The results show that after the major projects have brought benefits into full play, The annual removal amount of TNN TP will reach 1390.92 t ~ 91.6 t, respectively. By comparing with the water quality target of using the external force function of lakes, the amount of TNN TP should be reduced by 1336.70 t / 90.53 t. By 2015, all the projects will be completed on time and run well. If the upstream water reaches the Class 鈪，

本文编号：1594189