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

A technology of factor weighting and prediction method, which is applied in the direction of general water supply saving, image data processing, and other database retrieval, etc., and can solve the problems that water quality evaluation cannot comprehensively and reasonably evaluate water quality grades, etc.

Inactive Publication Date: 2016-08-31
YUNNAN UNIV
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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 ev

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

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[0103] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0104] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0105] like figure 1 As shown, the method for evaluating and predicting lake water quality based on the factor weighting model in the embodiment of the present invention includes the following steps:

[0106] S101: Apply the image denoising model to the preprocessing of water quality samples in the same area, establish a weighted Gaussian smoothing filter matrix model, calculate the difference sum of the Gaussian smoothing center point relative to the left and right thresholds, and fi...

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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 , ...

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Application Information

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IPC IPC(8): G06T7/00G06F17/30
CPCG06F16/29G06F16/5838G06F16/951G06T7/0002G06T2207/30181Y02A20/152
Inventor 康雁柳青胡雁林英李媛王春惠戴笠张一凡普佳
Owner YUNNAN UNIV
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