Evaluation of Water Quality of Tokto Section in Yellow River Based on Principal Component Analysis and Water Quality Identification Index

LI Guohua; LI Changyou; SHI Xiaohong; ZHAO Shengnan; QUAN Dong

doi:10.13961/j.cnki.stbctb.2018.06.047

您当前的位置：

首页 >

文章列表页 >

Evaluation of Water Quality of Tokto Section in Yellow River Based on Principal Component Analysis and Water Quality Identification Index

- Evaluation of Water Quality of Tokto Section in Yellow River Based on Principal Component Analysis and Water Quality Identification Index
- Bulletin of Soiland Water Conservation Vol. 38, Issue 6, Pages: 310-314(2018)
- 作者机构：
  
  内蒙古农业大学水利与土木建筑工程学院,内蒙古,呼和浩特,010018
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.06.047
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
LI Guohua, LI Changyou, SHI Xiaohong, et al. Evaluation of Water Quality of Tokto Section in Yellow River Based on Principal Component Analysis and Water Quality Identification Index[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 310-314.
DOI：

LI Guohua, LI Changyou, SHI Xiaohong, et al. Evaluation of Water Quality of Tokto Section in Yellow River Based on Principal Component Analysis and Water Quality Identification Index[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 310-314. DOI： 10.13961/j.cnki.stbctb.2018.06.047.

摘要

[目的] 分析黄河托克托河段水污染特征，合理选择水质评价指标，从而实现对黄河托克托段水质评价。[方法] 以黄河托克托段干流2017年4—8月9个水质采样断面逐月连续水质监测数据为基础，利用多元统计法对水质样本进行主成分因子分析，构建水质评价指标体系，应用综合水质指数法对该河段水质进行评价。[结果] ①黄河托克托段水质状况整体为Ⅳ类水，该河段段主要污染因子为TN，TP，COD，属于有机型及富营养化污染；②时空分布上从上游到下游水质逐渐变好，支流汇入口大黑河断面由于受汛期大黑河超标污染物排入水质变差，采样期间8月水质状况最差，其次是4月，5—7月水质相对较好。[结论] 基于主成分因子分析和综合水质标识指数法的水质评价方法不仅可以准确客观地反映水质特征，同时可对不同断面水质进行比较。黄河托克托段水质状况较差（整体Ⅳ类），属于有机型及富营养化污染。

Abstract

[Objective] Characteristics of water pollution in the Tokto section of the Yellow River and selection of water quality evaluation index is of great importance for assessing the the water quality in the Tokto section.[Methods] Based on the data of 9 sampling sections in the Tokto section from April to August in 2017

we comprehensively evaluated the water quality by establishing the evaluation index system using principal components analysis.[Results] ① The water quality in the Tokto section could be classified into class Ⅳ

and the main pollution factors are total nitrogen

total phosphors

chemical oxygen demand

belonging to organic type and eutrophication pollution.② The water quality from upstream to downstream was becoming better The water quality of the Heihe River at the entrance of tributary became worse due to the excessive pollutant discharge into Heihe River during flood season. The water quality was the worst in August and April

and was better from May to July.[Conclusion] The water quality evaluation method based on the principal component analysis and the synthetic water quality index can not only accurately reflect the water quality

but also compare the water quality of different sections. The water quality in Tokto section of the Yellow River is poor(the whole class Ⅳ)

which belongs to organic pollution and eutrophication.

关键词

Keywords

references

叶振维,路达,白妙馨.内蒙古黄河流域水污染形势分析[J].环境与发展,2014,26(4):100-103.

李秉荣,张德英,董锦兰,等.黄河包头段主要污染物混合扩散模型研究[J].干旱区资源与环境,2005,19(6):186-192.

王俊,吕忠义,安晓萍,等.黄河内蒙古段水质动态变化分析[J].人民黄河,2009,31(12):73-74.

王哲,戴宝成.黄河内蒙古包头段水体氨氮污染状况分析[J].安徽农业科学,2011,39(13):8044-8045.

朱灵峰,王燕,王阳阳,等.基于单因子指数法的海浪河水质评价[J].江苏农业科学,2012,40(3):326-327.

刘征,刘洋.水污染指数评价方法与应用分析[J].南水北调与水利科技,2005,3(4):35-37.

刘琰,郑丙辉,付青,等.水污染指数法在河流水质评价中的应用研究[J].中国环境监测,2013,29(3):49-55.

田野,李畅游,赵胜男,等.基于模糊数学的黄河内蒙古段水环境质量评价[J].水土保持通报,2016,36(5):162-166.

黄海英,王冬梅.模糊数学在水质评价中的应用[J].环境科学与管理,2010,35(8):173-175.

赵有益,刘彤彤.黄河兰州段水质模糊综合评价[J].人民黄河,2010,32(6):48-49.

李海华,邢静,孙杨帅,等.基于组合赋权模糊综合评价的黄河干流水源地水质评价[J].水生态学杂志,2015,36(5):44-50.

吴运敏,陈求稳,李静.模糊综合评价在小流域河道水质时空变化研究中的应用[J].环境科学学报,2011,31(6):1198-1205.

程万里,李亦芳,郝伏勤,等.GM(1,1)模型群在黄河水质预测中的应用研究[J].工业安全与环保,2007,33(11):33-35.

陈丽华,常沁春,陈兴国,等.BP网络应用于黄河水质的预测研究[J].兰州大学学报:自科版,2003,39(2):53-56.

樊引琴,刘婷婷,李婳,等.物元分析法在黄河水质评价中的应用[J].水资源与水工程学报,2013,24(2):166-169.

何敏,张建强.基于物元分析法的河流水环境质量评价[J].环境科学与管理,2013,38(3):172-175.

杨柳,宋健飞,宋波,等.主要污染物水质标识指数法在河流水质评价的应用[J].环境科学与技术,2015(11):239-245.

李国锋,刘宪斌,刘占广,等.基于主成分分析和水质标识指数的天津地区主要河流水质评价[J].生态与农村环境学报,2011,27(4):27-31.

富天乙,邹志红,王晓静.基于多元统计和水质标识指数的辽阳太子河水质评价研究[J].环境科学学报,2014,34(2):473-480.

Ouyang Ying. Evaluation of river water quality monitoring stations by principal component analysis[J]. Water Research, 2005,39(12):2621-2635.

Bengraine K, Marhaba T F. Using principal cpmponent analysis to monitor spatial and temporal changes in water quality[J]. Journal of Hazardous Aterials, 2003,100(1/2/3):179-195.

吉祝美,方里,张俊,等.主成分分析法在SPSS软件中的操作及在河流水质评价中的应用[J].环境研究与监测,2012,18(4):68-73.

伊元荣,海米提·依米提,王涛,等.主成分分析法在城市河流水质评价中的应用[J].干旱区研究,2008,25(4):497-501.

吕欣格,田剑南,王超,等.基于主成分分析法的黄河呼和浩特段水环境质量评价[J].环境与发展,2016,28(5):15-20.

刘潇,薛莹,纪毓鹏,等.基于主成分分析法的黄河口及其邻近水域水质评价[J].中国环境科学,2015,35(10):3187-3192.

李小胜,陈珍珍.如何正确应用SPSS软件做主成分分析[J].统计研究,2010,27(8):105-108.

杨学福,王蕾,关建玲,等.基于多元统计分析的渭河西咸段水质评价[J].环境工程学报,2016,10(3):1560-1565.

徐祖信.我国河流单因子水质标识指数评价方法研究[J].同济大学学报:自然科学版,2005,33(3):321-325.

徐祖信.我国河流综合水质标识指数评价方法研究[J].同济大学学报:自然科学版,2005,33(4):482-488.

Views

988

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Water Quality and Spatial-temporal Variation Characteristics from Main Stream and Main Tributaries of North River

Soil Erosion and Sediment Prediction at Watershed Scale Under Single Rainfall Event Based on Support Vector Regression

Soil and Water Conservation Regionalization of Lishui River Watershed in Hunan Province

Application of Attribute Recognition Theory in Water Quality Evaluation of Shaxi River in Minjiang River Basin

Analysis on Driving Forces of Construction Land Changes of Xianyang City

Related Author

Zhou Minghao

Li Tong

Lin Xueming

Ye Sihua

Zhang Xuerong

Deng Ying

LI Bin-bing

ZHENG Fen-li

Related Institution

Guangdong Ecological and Environmental Monitoring Center

College of Natural Resources and Environment, South China Agricultural University

College of Tourism and Environmental Science,Shaanxi Normal University

The Collage of Armed Police Forces of Engineering

College of Resources and Environment,Northwest A & F University,Yangling,Shannxi

⁰