Application of a New Improved Weighting Method, ESO Method Combined with Fuzzy Synthetic Method, in Water Quality Evaluation of Chagan Lake

The existing weighting methods mainly comprise subjective and objective have a certain degree of subjectivity, with requirements for the professional ability users unstable results. Therefore, an improved method based on entropy weight, over-standard multiple, single-factor evaluation methods, referred to as ESO method, is proposed. advantages advancements are demonstrated in this study by combining it fuzzy synthetic evaluate water quality Chagan Lake wetland from 2007 2016. main conclusions follows: 1. has more comprehensive consideration factors, lower users, stable results than traditional method. highly suitable beginners frontline staff who not professionally qualified cannot accurately conduct weighting. Meanwhile, owing amendment rule emphasis local weight sample applicable time-series samples. 2. better allocates weights indicators higher pollution; thus, final relatively conservative. However, contrast evaluation, conservatism result effect all samples; conservative reasonable. 3. 2009 2015 was class IV, which did meet standard, while that remaining eight years III, met national 13th Five-Year Plan. can provide new approach calculation basis protection treatment ecological environment wetland.