淮河江苏段水质现状及其评价

摘要本文以淮河江苏段作为研究对象，选取 2015 年 11 月至 2016 年 2 月的监测数据，并选择了盱眙淮河大桥、泗洪大屈、李集桥、邳苍、小红圈以及连云港大兴桥 6 个具有代表性的监测断面，以 pH、溶解氧、氨氮和高锰酸盐指数 4 个评价因子作为监测指标，通过单因子指数法和灰色聚类分析法对其进行水质评价。结果表明，淮河江苏段主要污染物是氨氮和高锰酸盐指数，其中，李集桥断面与邳苍断面这两种污染物尤为严重；通过灰色聚类法分析得出，盱眙淮河大桥站的水环境质量为Ⅱ类，泗洪大屈站的水环境质量为Ⅱ类，徐州李集桥站为Ⅲ类，江苏邳苍站为Ⅲ类，徐州小红圈站为Ⅰ类，连云港大兴桥站为Ⅲ类。通过分析发现，淮河江苏段的 5 个断面（除李集桥）均达到或优于水功能区划Ⅲ类标准，徐州李集桥断面达到水功能区划Ⅳ类标准。淮河江苏段整体水质有明显的提升，主要污染物氨氮和高锰酸盐指数的含量也在明显缩小。69076

该论文有图 3 幅，表 15 个，参考文献 13 篇。

毕业论文关键词：水质评价单因子指数法灰色聚类法氨氮高锰酸盐指数

Water Quality Analysis and Evaluation on Huai River in Jiangsu Province

Abstract

Taking the Jiangsu section of the Huai River as the research object, selecting the monitoring data from November 2015 to February 2016, picking six representative monitoring sections including the Xuyihuai River bridge, Sihong big bend, Li Ji bridge, Picang, Xuzhou small red circles, and Lianyungang DaXing bridge, and choosing pH, dissolved oxygen, ammonia nitrogen, permanganate index as monitoring indexes, this paper evaluates the water quality of Jiangsu section of Huai River by single factor index method and grey clustering analysis method. The results show that the main pollutants in Huai River are ammonia nitrogen and permanganate index, Li Ji bridge section and Pi pale section are particularly serious. Analyzing with the grey clustering method, water environmental quality of Xuyihuai River bridge and

Sihong big bend belong to class Ⅱ; Xuzhou Li Ji bridge and Jiangsu Picang and

Lianyungang Daxing bridge belong to class Ⅲ; and Xuzhou small red circles belongs to class Ⅰ. It is analyzed and found that the five sections of the Jiangsu section of the

Huai River (except Li Ji bridge) have reached or exceeded water functional regionalization class Ⅲ, Xuzhou Li Ji bridge section has reached to water functional regionalization class Ⅳ. The overall water quality of the Jiangsu section of the Huai

River has obvious improvement, content of its main pollutants ammonia nitrogen and potassium permanganate index is also significantly decreased.

Key Words:water quality evaluation single factor index method grey clustering method ammonia nitrogen permanganate index

摘要 I

Abstract II

目录 III

图清单 IV

表清单 IV

变量注释表 V

1 研究背景 1

2 研究区概况 2

2.1 地理位置淮河江苏段水质现状及其评价:http://www.youerw.com/huaxue/lunwen_77819.html