Watershed wetland water environment state and public satisfaction degree evaluation method

Abstract

The invention provides a watershed wetland water environment state and public satisfaction degree evaluation method, which comprises the following steps: 1) selecting a proper evaluation factor and computing a corresponding weight; 2) computing a function relationship among a wetland water environment comprehensive influence index, a wet land nutrition index and a water environmental nutrition comprehensive influence index; 3) grading the wetland water environment states and public satisfaction degrees; and 4) implementing the method concretely: evaluating the wetland water environment states and public wetland water environment state satisfaction degrees of all watersheds such as lakes, urban rivers and reservoirs. Compared with the prior art, the method has the advantages that: a psychological simulation-reaction relationship theory is introduced; and the watershed wetland water environment states and public environment state satisfaction degrees can be evaluated objectively and quantitatively.

Description

technical field [0001] The present invention relates to a method for evaluating the water environment state of a river basin wetland and public satisfaction, which comprehensively considers a series of factors such as nutrients, plankton mass, water quality, and public response to objectively and quantitatively evaluate the water environment state of a river basin wetland and public satisfaction. method of evaluation. Background technique [0002] Water environment safety problems caused by nutrient pollution in wetlands in my country's river basins have become increasingly prominent, and China has become one of the countries with the most serious outbreaks of algal blooms in the world. The outbreak of algae bloom will lead to hypoxia of water body, fish death, odor and algal toxins, etc., which will affect the ecological function of wetland water, seriously affect people's normal production and life, and even affect the ecological security of the watershed. The water envir...

AI Technical Summary

Problems solved by technology

The outbreak of algal blooms will lead to hypoxia in the water body, fish death, odor and algae toxins, etc., which will affect the ecological functions of wetland water, seriously affect people's normal production and life, and even affect the ecological security of the watershed

The water environment status of the wetland watershed involves many environmental elements and their interactions are complex, and the control and management are closely related to the public's expectations of the water environment. It is necessary to establish an objective and quantitative evaluation method for the water environment status and public satisfaction of wetlands in the basin, and provide theoretical and technical support for the early warning of the wetland water environment in the basin, the evaluation of ecological restoration and the efficient management of the water environment

[0003] At present, most of the evaluations on the water environment status of wetlands in watersheds stay at the level of nutritional status evaluation. A lot of research has been done on the evaluation mechanism and model application of wetland eutrophication, and a variety of evaluations based on mathematical methods have been proposed. methods, but both have application limitations: for example, the AHP is a method combining orientation and quantification, which embodies the characteristics of decomposition, judgment and synthesis of evaluation decision-making thinking, but the constructed judgment matrix may not be consistent , and the evaluation results rely too much on the preference and subjective judgment of the decision-maker; although fuzzy evaluation methods, gray cluster evaluation methods, set pair analysis methods, and matter-element analysis methods take into account the fuzziness, grayness, and uncertainty of the system in the evaluation process Compatibility and other characteristics, but it is necessary to construct the membership function, whitening function, correlation function and connection degree expression of each evaluation index for each evaluation level, etc. The design forms of these functions or expressions vary from person to person, resulting in evaluation results Distortion and low resolution; artificial neural network evaluation usually requires a large amount of data for network training

Images