DocumentCode
494342
Title
Analysis of Water Quality Evolution and Its Influence Factor in Qingdao Inshore Area
Author
Yu, Jing ; Zhang, Yan ; Sun, Yinglan
Author_Institution
Postdoctoral Station of Oceanogr., Ocean Univ. of China, Qingdao
Volume
1
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
171
Lastpage
174
Abstract
Qingdao is a representative coastal city, whose inshore water quality is in a deterioration tendency influenced by anthropogenic activities. Recent evolution of water quality was quantitatively analyzed by adopting fuzzy comprehensive evaluation method, and its predominant influence factors were determined by a multi-regression model. The results show that: (1)Qingdao inshore water quality worsened from 1998 to 2000, became the worst in 2000, gradually improved from 2000 to 2002, but presented a slight deterioration tendency from 2002. (2)Total discharge amount of waste water, pollutant discharge amount, environmental protection investment and industrial structure were the four remarkable factors affecting Qingdao inshore water quality, among which pollutant discharge amount played the most important role. It is the key of improving water quality to reduce the pollutant discharge amount.
Keywords
environmental factors; fuzzy set theory; regression analysis; wastewater; water quality; Qingdao inshore area; anthropogenic activities; environmental protection investment; fuzzy comprehensive evaluation; industrial structure; multiregression model; pollutant discharge; waste water; water quality; Cities and towns; Environmental economics; Environmentally friendly manufacturing techniques; Industrial pollution; Oceans; Oil pollution; Protection; Rivers; Water pollution; Water resources; Qingdao inshore area; fuzzy comprehensive evaluation; influence factor; multi-regression model; water quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.110
Filename
5070125
Link To Document