Lake water quality evaluation prediction system and method based on factor weighting model

Abstract

The invention discloses a lake water quality evaluation prediction system and method based on a factor weighting model. The method comprises the following steps: through different lake area pollution thermal graph color conditions, knowing each lake pollution contrast; through obtaining lake basin weather indexes, feeding time vector weather temperature information and each weather index to a user; displaying an accomplishment of an improved factor weighting model; and through combination with a correlation analysis algorithm, emitting an alarm to the user for each current standard-exceeding water quality index and prediction standard-exceeding indexes. According to the invention, the factor weighting evaluation model capable of more accurately evaluating water quality is established. Through numerous data tests of the model, it is proved that the algorithm operation efficiency and the water quality evaluation accuracy are greatly improved. A factor weight based evaluation model is established, a future lake water quality and environment development trend is reasonably predicted and analyzed, most visual water quality change and lake area differences can be given to the user, and water supply environment management advice is provided for sustainable development of a nine-like basin.

Description

technical field [0001] The invention belongs to the technical field of computer applications, and in particular relates to a system and method for evaluating and predicting lake water quality based on factor weighting models. Background technique [0002] The nine plateau lakes in Yunnan Province (Dianchi Lake, Erhai Lake, Fuxian Lake, Chenghai Lake, Lugu Lake, Qilu Lake, Xingyun Lake, Yangzong Lake, and Yilong Lake) and their basins have unique natural geographical features and important economic status. The nine plateau lakes have the lowest altitude of 1501m, the highest of 2690.8m, the shallowest average water depth of 3.9m, the deepest of 158.9m, and the smallest lake area of ​​31km 2 , the largest more than 300 km 2 , the minimum water storage capacity is 100 million m 3 , up to 20.6 billion m 3 ; There are both wide and shallow lakes and deep-water lakes, all of which are closed and semi-closed lakes. Nine Lakes Basin Area 8110km 2 , the lake area is 1042km 2 , ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a lake water quality evaluation and prediction system and method based on a factor weighting model, aiming at solving the problem that the traditional water quality evaluation model does not solve the nonlinear relationship between the water quality observation index and the water quality pollution level; The evaluation cannot comprehensively and reasonably evaluate the water quality level

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