Surface water quality monitoring method based on high spatial resolution satellite

Patent metadata

Field	Value
Publication number	US-12504416-B2
Application number	US-202418415659-A
Country	US
Kind code	B2
Filing date	Jan 18, 2024
Priority date	Aug 24, 2022
Publication date	Dec 23, 2025
Grant date	Dec 23, 2025

Abstract

A surface water quality monitoring method based on a high spatial resolution satellite includes: step 1. building standard surface water quality pools by mixing natural water bodies with clean water in different proportions to obtain surface water quality data; step 2. obtaining high spatial resolution remote sensing images for processing; step 3. identifying remote sensing bands with higher correlation through correlation analysis by presetting ratio values of remote sensor data bands and the standard surface water quality pools; step 4. building a water quality parameter retrieval model, and comparing and retrieving the remote sensing bands with higher correlation and the surface water quality data to obtain water quality data; and step 5. identifying abnormal points of the water quality based on the water quality data and water quality data threshold of the surface water.

First claim

What is claimed is:

1 . A surface water quality monitoring method based on a high spatial resolution satellite, comprising the following steps:
step 1: building standard surface water quality pools by mixing natural water bodies with clean water in different proportions to obtain surface water quality data; and the standard surface water quality pools comprise: a standard pool A for containing clean water, a standard pool B for containing natural water, standard pools C, D and E for containing a mixture of clean water and natural water, and the clean water therein accounts for n 1 , n 2 and n 3 of the total mixture, respectively, with n 1 , n 2 and n 3 different from one another; and a water quality monitoring device is arranged to obtain water quality data of the natural water in the standard pool B; step 2: obtaining high spatial resolution remote sensing images of lakes, reservoirs and rivers, and preprocessing and cropping the high spatial resolution remote sensing images; step 3: identifying remote sensing bands with higher correlation through correlation analysis by presetting ratio values of remote sensor data bands obtained in the step 2 and the standard surface water quality pools in the step 1; step 4: building a water quality parameter retrieval model, and comparing and retrieving the remote sensing bands with higher correlation obtained in the step 3 and the surface water quality data obtained in the step 1 to obtain water quality data of an entire lake and river; step 5: identifying abnormal points of the water quality based on the water quality data of the entire lake and river obtained in the step 4 and a preset water quality data threshold, and identifying areas with excessive pollutant concentrations.

2 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 1, each of the standard pools A, B, C, D, and E is provided with a valve; a revisit period of a satellite is taken as a period for updating the water in each of the standard pools A, B, C, D, and E to remix and update the water bodies therein, wherein the satellite acquires the high spatial resolution remote sensing images.

3 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 1, a length and a width of each of the standard pools A, B, C, D, and E should be greater than or equal to three times resolution of the high spatial resolution remote sensing images.

4 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 1, there are more than three standard pools for containing the mixed water, and at least three of these standard pools used for containing the mixed water have different proportions of the clean water.

5 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 1, n 1 =½, n 2 =⅔ and n 3 =⅓.

6 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 2, the obtained resolution of the high spatial resolution remote sensing images obtained should not exceed 1 m.

7 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 3, concentration ratios of pollutants in each of the standard pools A, B, C, D, and E are allowed to be determined according to a ratio of the natural water bodies to the clean water therein, remote sensing bands having better adaptability and higher correlation with the concentration ratios of pollutants are allowed to be determined through the correlation analysis, and at least top three bands are allowed to be selected, or those bands with correlation coefficients exceeding a predetermined value are allowed to be selected.

8 . The surface water quality monitoring method based on the high spatial resolution satellite according to claim 1 , wherein in the step 3, the correlation analysis is performed by presetting ratio values of remote sensor data bands and the standard surface water quality pools, X 1 represents a remote sensing band matrix, and Y 1 represents a preset ratio value matrix of pollutant concentrations; and through the correlation analysis thereof, a correlation coefficient matrix R 1 of each band and the preset ratio value matrix of pollutant concentrations is obtained:

X
1

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A
I

X
A
II

X
A
III

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A
IV

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A
V

X
A
VI

X
B
I

X
B
II

X
B
III

X
B
IV

X
B
V

X
B
VI

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C
I

X
C
II

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III

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Assignees

• Univ Wuhan
• China Yangtze Power Co Ltd

Inventors

• Zhang Yanjun
• Qiu Anni
• Dong Wenxun
• Luo Lan
• Song Yuanxin
• Bao Zhengfeng
• Cao Hui
• Liu Xinbo
• Zeng Xuetao

Classifications

• G01N2021/945

  Liquid or solid deposits of macroscopic size on surfaces, e.g. drops, films, or clustered contaminants · CPC title

• G01N2021/8887

  based on image processing techniques · CPC title

• G01N2021/1793

  Remote sensing · CPC title

• G01N2021/178

  Methods for obtaining spatial resolution of the property being measured · CPC title

• G01N21/94

  Investigating contamination, e.g. dust (G01N21/85 takes precedence) · CPC title