Evaluation of the difference in water quality between urban and suburban rivers based on self-organizing map

被引:12
作者
Jiang, Yaqi [1 ,2 ]
Gui, Herong [2 ]
Li, Chen [1 ,2 ]
Chen, Jiayu [1 ,2 ]
Chen, Chen [1 ,2 ]
Wang, Chunlei [1 ,2 ]
Zhao, Honghai [3 ]
Guo, Yan [2 ]
Xu, Jiying [2 ]
Li, Jun [1 ,4 ]
Qiu, Huili [2 ]
机构
[1] Anhui Univ Sci & Technol, Sch Earth & Environm, Huainan 232001, Anhui, Peoples R China
[2] Suzhou Univ, Natl Engn Res Ctr Coal Mine Water Hazard Controll, Suzhou 234000, Anhui, Peoples R China
[3] Anhui Prov Bur Coal Geol, Hydrol Explorat Team, Suzhou 234000, Anhui, Peoples R China
[4] Hefei Univ Technol, Sch Resources & Environm Engn, Hefei 232000, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Self-organizing map; Water quality; Hydrogeochemical characteristics; ARTIFICIAL NEURAL-NETWORKS; SURFACE-WATER; CLASSIFICATION; GROUNDWATER; CHEMISTRY; MATTER; DISTRICT; HIMALAYA; SULFATE; IMPACT;
D O I
10.1007/s11600-021-00631-4
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Urban rivers play an important role in maintaining the urban aquatic ecological environment, and there are bound to be differences in the water environment quality and pollution sources due to different locations of urban rivers. Therefore, this paper selects the urban river (Tuo River) and the suburban river (Bian River) in Suzhou City, Anhui, China, as the research objects. Based on the understanding of the hydrogeochemical characteristics of these two rivers, the self-organizing map is used to identify the main control factors that affect the water quality of the two rivers. The results showed that both the Bian river and Tuo river were weakly alkaline. The average content of conventional ions in Tuo river is less than that of Bian river (except HCO3-); the water of Bian river was of Na-SO4-Cl type, and the water of Tuo river was mainly of Na-HCO3 type, with the minority was of Na-SO4-Cl type; Silicate weathering is an important source of conventional ions in the water of these two rivers; agricultural non-point source pollution is the main source of pollutants in Bian river, while Tuo river was mainly affected by natural factors, and human activities had little impact.
引用
收藏
页码:1855 / 1864
页数:10
相关论文
共 31 条
[1]   Geochemical and Statistical Evaluation of Heavy Metal Status in the Region around Jinxi River, China [J].
Abdelhafez, Ahmed A. ;
Li, Jianhua .
SOIL & SEDIMENT CONTAMINATION, 2014, 23 (08) :850-868
[2]   Assessment of Self-Organizing Map artificial neural networks for the classification of sediment quality [J].
Alvarez-Guerra, Manuel ;
Gonzalez-Pinuela, Cristina ;
Andres, Ana ;
Galan, Berta ;
Viguri, Javier R. .
ENVIRONMENT INTERNATIONAL, 2008, 34 (06) :782-790
[3]   Water pollution in Pakistan and its impact on public health - A review [J].
Azizullah, Azizullah ;
Khattak, Muhammad Nasir Khan ;
Richter, Peter ;
Hader, Donat-Peter .
ENVIRONMENT INTERNATIONAL, 2011, 37 (02) :479-497
[4]   Perfluoroalkyl substances (PFAS) in surface water and sediments from two urban watersheds in Nevada, USA [J].
Bai, Xuelian ;
Son, Yeongkwon .
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 751 (751)
[5]   Exploratory analysis of excitation-emission matrix fluorescence spectra with self-organizing maps-A tutorial [J].
Bieroza, Magdalena ;
Baker, Andy ;
Bridgeman, John .
EDUCATION FOR CHEMICAL ENGINEERS, 2012, 7 (01) :E22-E31
[6]   Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment [J].
Bieroza, Magdalena ;
Baker, Andy ;
Bridgeman, John .
ENVIRONMETRICS, 2011, 22 (03) :256-270
[7]   Exploring the spatio-temporal interrelation between groundwater and surface water by using the self-organizing maps [J].
Chen, I-Ting ;
Chang, Li-Chiu ;
Chang, Fi-John .
JOURNAL OF HYDROLOGY, 2018, 556 :131-142
[8]   Monitoring of water quality in South Paris district by clustering and SIMCA classification [J].
De Luca, Michele ;
Oliverio, Filomena ;
Ioele, Domenica ;
Husson, Gilles-Pascal ;
Ragno, Gaetano .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2008, 88 (15) :1087-1105
[9]   MECHANISMS CONTROLLING WORLD WATER CHEMISTRY [J].
GIBBS, RJ .
SCIENCE, 1970, 170 (3962) :1088-&
[10]   Assessment of the impact of anthropogenic activities on the groundwater hydrology and chemistry in Tarsus coastal plain (Mersin, SE Turkey) using fuzzy clustering, multivariate statistics and GIS techniques [J].
Guler, Cuneyt ;
Kurt, Mehmet Ali ;
Alpaslan, Musa ;
Akbulut, Can .
JOURNAL OF HYDROLOGY, 2012, 414 :435-451