锦江天府新区直管段水环境问题研究

发布时间：2018-03-25 03:36

本文选题：锦江成都天府新区直管区段　切入点：污染源调查　出处：《西南交通大学》2016年硕士论文

【摘要】：本论文以锦江成都天府新区直管区段流域为研究对象,以污染源实地调查、4个重点流域断面年、月、日间动态监测及断面通量加密监测为研究基础,以相关环境监测部门近年水质监测数据为研究补充,以水质分析为研究重点,以“摸清情况,查找差距,发现问题,找准根源”为研究思路,以实现与社会发展水平相适应的水环境质量目标为研究目的,提高治污减排的精准性和质量改善的针对性,为水环境改善提供依据。主要研究方法包括第一,结合秩相关系数法对水质经行了定量及定性的水质时序。第二,在分析4个重点监测断面的基础上,使用描述集中趋势指标和描述离散程度的指标,定性分析4个重点断面的污染物断面通量；再根据断面通量负荷结构,定量的对断面最大负荷允许限值及达标削减量进行分析。第三,采用灰度关联法对4个重点断面进行分析,从而筛选出各个断面的主要污染物。通过分析主要得到结论为：1)通过水质时序分析可知：锦江永安大桥、锦江正公路桥、锦江黄龙溪、江安河二江寺4个断面中,江安河二江寺断面锰酸盐指数、CODcr、石油类3项污染指标,锦江黄龙溪断面总磷1项污染指标,锦江永安大桥断面阴离子表面活性剂1项染指标下降变化趋势有显著意义,水质污染有所好转趋势是可信的。而4个断面其余污染因子在评价时段内下降或上升趋势属随机的,水质变化属稳定或平稳,没有明显的趋势变化。2)通过断面通量分析可知：对锦江观音湾大桥、江安河二江寺、锦江正公路桥、锦江永安桥4个断面的污染物通量分析综合分析,通过主要污染物达标情景需要消减的通量模拟,最大月削减通量均出现在6月,氨氮和总磷最大月削减通量出现在1月、5月、6月,其中锦江正公路桥最大月削减通量出现在1月,表明就氨氮而言该断面有明显的点污染源贡献特征。其余断面和污染物出现在5月、6月,5、6月为前平水期后期、丰水期前期,常是流域1年中第一场大雨出现时期,表明面源污染影响很大。3)通过灰度关联分析可知：对于氨氮而言,锦江成都天府新区直管区段有明显氨氮污染输入,且对出境断面水质造成影响,其污染源不排除区段内集中式污水处理厂尾水排放,洗瓦堰支流污染输入；对于高锰酸盐指数指数而言,锦江永安桥高锰酸盐指数浓度受江安河和锦江中心城区段输入影响强度较大,影响程度接近,锦江成都天府新区直管区段内影响较小；对于总磷而言,锦江天府成都直管区段总磷输入影响锦江永安桥总磷水质浓度作用明显,锦江观音湾大桥、锦江正公路桥关联度强度接近,江安河对锦江永安桥总磷浓度影响较小。总磷染控制重点为锦江干流中心城区污染输入和成都直管区锦江区段内污染输入。
[Abstract]:This paper takes the river basin of Tianfu New area of Jinjiang River as the research object, taking the field investigation of pollution sources, the dynamic monitoring of four key watershed sections during the year, month and day and the flux density monitoring of the section as the basis of the research. Taking the water quality monitoring data of relevant environmental monitoring departments in recent years as a supplement, taking water quality analysis as the research focus, and "finding out the situation, finding out the gap, finding out the problems and finding out the root causes" as the research train of thought, In order to achieve the goal of water environment quality corresponding to the level of social development, to improve the precision of pollution abatement and the pertinence of quality improvement, the main research methods include: first, Combined with rank correlation coefficient method, the quantitative and qualitative water quality time series are obtained. Secondly, on the basis of analyzing the four key monitoring sections, we use the indicators to describe the concentration trend and the degree of dispersion. Qualitative analysis of the pollutant cross-section flux of four key sections, and then according to the cross-section flux load structure, quantitative analysis of the maximum section load allowable limit and standard reduction. Third, The four key sections were analyzed by gray correlation method, and the main pollutants of each section were screened out. The main conclusion is: Jinjiang Yongan Bridge, Jinjiang normal Highway Bridge, through the analysis of water quality time series, the main conclusions are: Jinjiang Yongan Bridge, Jinjiang River Road Bridge, Among the four sections of Huanglongxi and Erjiangsi in Jinjiang River, the manganese salt index of Erjiangsi section of Jiangan River is CODcr, petroleum pollution index is 3, total phosphorus of Huanglongxi section is one pollution index. The decreasing trend of anionic surfactant in the section of Yongan Bridge is significant, the trend of water pollution improvement is credible, while the other pollution factors of four sections are random in the evaluation period. The change of water quality is stable or steady, and there is no obvious trend change. 2) through the analysis of cross-section flux, we can know that the pollutant fluxes of the four sections of Guanyin Bay Bridge, Erjiangsi, Jinjiang Road Bridge and Yongan Bridge of Jinjiang are analyzed synthetically. The maximum monthly reduction fluxes occurred in June, ammonia nitrogen and total phosphorus decreased fluxes occurred in January, May, June, respectively. The maximum monthly reduction flux of Jinjiang Highway Bridge occurred in January, which indicated that the section had obvious contribution characteristics of point pollution sources in terms of ammonia nitrogen. The other sections and pollutants appeared in May, June and June respectively. It is usually the first time of heavy rain in a river basin in one year, indicating that non-point source pollution has a great influence on it. 3) through gray correlation analysis, we can know that for ammonia nitrogen, the direct section of Tianfu New area of Jinjiang River has obvious input of ammonia nitrogen pollution. The source of pollution does not exclude the tail water discharge from the centralized sewage treatment plant in the section and the pollution input from the flat-washing Weir tributary; for the permanganate index index, the water quality of the exit section is affected. The concentration of permanganate index of Yongan Bridge in Jinjiang River is influenced by the input intensity of Jiangan River and the central section of Jinjiang River, and the influence degree is close. The effect of total phosphorus input on the total phosphorus concentration of Yongan Bridge in Jinjiang Tianfu is obvious. The correlation intensity of Guanyin Bay Bridge and Jinjiang Highway Bridge is close to that of Jinjiang Yongan Bridge. The effect of river on the total phosphorus concentration of Yongan Bridge of Jinjiang River is relatively small. The key points of total phosphorus pollution control are the pollution input in the central urban area of the main stream of Jinjiang River and the pollution input in the section of Jinjiang District in the Chengdu Direct Control area.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：X52

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