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Remote sensing assisted lake and reservoir chl-a concentration spatial interpolation method optimization method and device
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A space interpolation and lake library technology, applied in the direction of measuring devices, image data processing, instruments, etc., can solve problems such as inaccurate interpolation results, deviations in interpolation methods and interpolation parameters, and difficulty in obtaining measured values. Rich, spatial interpolation methods and accurate effect of parameter values
Active Publication Date: 2020-03-27
MINISTRY OF ECOLOGY & ENVIRONMENT CENT FOR SATELLITE APPL ON ECOLOGY ENVIRONMENT
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[0005] However, in the layout of existing lake waterquality monitoring stations, it is often considered to reflect the water quality status of lakes and reservoirs with as few monitoring station data as possible.
Many interpolation methods have high requirements on the number of stations and the spatial correlation of stations. The measured values removed in the cross-validation method may cause deviations in the evaluation results. The monitoring values of water quality parameters at monitoring stations are very important, and removing the monitoring values of any monitoring station will make the interpolation results inaccurate and cannot be close to the real distribution of water quality parameters in lakes and reservoirs, which will lead to deviations in the selected interpolation method and interpolation parameter values
In addition, due to the continuous dynamic changes of lake and reservoir water, and the distance between monitoring stations, it is often difficult to obtain the measured values at the same time for water quality parameters (such as chl-a concentration) that require manual sampling and measurement, which will also lead to Bias in evaluation results
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example 1
[0096] The selected spatial interpolation method has a variable parameter a to be determined. The value range of the variable parameter a is [x, y]. The value range [x, y] is divided into n equal parts by the step size delt, and divided into n After equal division, y=x+(n-1)·delt, the step size delt is the minimum change unit of the parameter a, and the step size delt can be set as required.
[0097] After being divided into n equal parts, the value of the variable parameter a in the value range [x, y] is a k ,in:
[0098] a k =x+(k-1) delt, k∈[1,n], n is a positive integer,
[0099] After the value of a is determined, since there is only one variable parameter a, one value of the variable parameter a constitutes a value scheme, and all values of the variable parameter a constitute a series of value schemes.
[0100] That is, for k∈[1,n], take a k =x+(k-1) delt (i.e. take one value per delt step), use the spatial interpolation method to perform spatial interpolation, and...
example 2
[0102] The chosen spatial interpolation method has M undetermined variable parameters a i , i∈[1,M], M is an integer greater than 1. Each variable parameter a i The value range is [x i ,y i ], with step size delt i assign each variable parameter a i The range of values [x i ,y i ] into n i Equal parts, each variable parameter a i The value is a i,k ,in:
[0103] a i,k =x i +(k i -1) delt i ,k i ∈[1,n i ],i∈[1,M];
[0104] A combination of values for each variable parameter among all variable parameters constitutes a value-taking scheme, and all combinations of values for each variable parameter among all variable parameters constitute a series of value-taking schemes.
[0105] For example, with 2 variadic parameters a 1 、a 2 ;variable parameter a 1 The value range is [x 1 ,y 1 ], with step size delt 1 Will [x 1 ,y 1 ] into n 1 equal parts, variadic a 1 The value is a 1,k ;
[0106] a 1,k =x 1 +(k 1 -1) delt 1 ,k 1 ∈[1,n 1 ];
[0107] a...
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Abstract
The invention discloses a remote sensing assisted lake and reservoir chl-a concentration spatial interpolation method optimization method and device, and belongs to the field of water quality monitoring. The method comprises the steps of obtaining a remote sensing image, obtaining a chl-a concentration spatial distribution map through preprocessing, cutting and chl-a inversion, and taking the chl-a concentration spatial distribution map as a true value of synchronous observation; and then through exhaustive cyclic valuing of variable parameters of an interpolation method, calculating a mean square error between an interpolation result after spatial interpolation of each value and a real value according to chl-a concentration values obtained by synchronous measurement of all ground monitoring stations, and taking a spatial interpolation method and parameter values when the mean square error is a minimum value as a final optimization result. The finally obtained spatial interpolation method and parameter value are more accurate, and the chl-a concentration data obtained through the obtained spatial interpolation method and parameter value interpolation can more truly reflect the water quality condition of the lake and reservoir area.
Description
technical field [0001] The invention relates to the field of water quality monitoring, in particular to an optimal method and device for a remote sensing-assisted chl-a concentration space interpolation method in lakes and reservoirs. Background technique [0002] With the rapid development of my country's economy, people's living standards have been greatly improved, but it has also brought environmental problems to people. The quality of water is directly related to people's normal life and the survival and development of the natural environment. At present, the natural water bodies in my country are generally in a state of eutrophication, and the direct manifestation is the massive reproduction of algal substances, and the proportion of chlorophyll-a (chl-a) in algal substances is relatively stable, and it is convenient for manual measurement, so the content of chlorophyll-a is used as a reflection An important indicator of the degree of eutrophication in water bodies. ...
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