Work

Dynamic Assessment of Water Quality Based on a Variable Fuzzy Pattern Recognition Model

Year: 2015

Type: article

Abstract: Water quality assessment is an important foundation of water resource protection and is affected by many indicators. The dynamic and fuzzy changes of water quality lead to problems for proper assessment. This paper explores a method which is in accordance with the water quality changes. The proposed method is based on the variable fuzzy pattern recognition (VFPR) model and combines the analytic hierarchy process (AHP) model with the entropy weight (EW) method. The proposed method was applied to dynamically assess the water quality of Biliuhe Reservoir (Dailan, China). The results show that the water quality level is between levels 2 and 3 and worse in August or September, caused by the increasing water temperature and rainfall. Weights and methods are compared and random errors of the values of indicators are analyzed. It is concluded that the proposed method has advantages of dynamism, fuzzification and stability by considering the interval influence of multiple indicators and using the average level characteristic values of four models as results.

Source: International Journal of Environmental Research and Public Health

DOI: 10.3390/ijerph120202230

Authors: Shiguo Xu, Tianxiang Wang, Suduan Hu

Institution: Dalian University of Technology

Language: English

Topic: Research studies in Vietnam

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Estimated APC paid: $3,016