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Method and device for optimizing spatial interpolation method of lake and reservoir chl-a concentration assisted by remote sensing
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A technology of spatial interpolation and lake library, applied in the direction of measuring devices, image enhancement, instruments, etc., can solve the problems of interpolation method and interpolation parameter value deviation, inaccurate interpolation results, and difficulty in obtaining measured values, etc., to achieve the spatial interpolation method and the effect of accurate parameter values and abundant data
Active Publication Date: 2020-09-11
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 delt, and divided into n After equal division, y=x+(n-1)·delt, the step length delt is the smallest change unit of the parameter a, and the step length 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 ,among them:
[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, a value of the variable parameter a constitutes a value scheme, and all the values of the variable parameter a constitute a series of value schemes.
[0100] In other words, for k∈[1,n], take a k =x+(k-1)·delt (that is, take a value every delt step), use spatial interpolation method to perform spatial interpolation, each valu...
example 2
[0102] The selected 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 range of values is [x i ,y i ], in steps delt i Change each variable parameter a i The value range of [x i ,y i ] Divided into n i Equal parts, each variable parameter a i Is a i,k ,among them:
[0103] a i,k = X i +(k i -1)·delt i ,k i ∈[1,n i ],i∈[1,M];
[0104] One value combination of each variable parameter in all variable parameters constitutes a value scheme, and all value combinations of each variable parameter in all variable parameters constitute a series of value schemes.
[0105] For example, there are 2 variable parameters a 1 , A 2 ; Variable parameter a 1 The range of values is [x 1 ,y 1 ], in steps delt 1 Will [x 1 ,y 1 ] Divided into n 1 Equal parts, variable parameter a 1 Is a 1,k ;
[0106] a 1,k = X 1 +(k 1 -1)·delt 1 ,k 1 ∈[1,n 1 ];
[0107] a 1,k It can be expressed as a in expanded form 1,1 ,a 1,...
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Abstract
The invention discloses a remote sensing-assisted method and device for optimizing the spatial interpolation method of chl-a concentration in lakes and reservoirs, and belongs to the field of water quality monitoring. This invention obtains remote sensing images, obtains the chl-a concentration spatial distribution map through preprocessing, cropping, and chl-a inversion, and uses it as the true value of synchronous observation; then, through an exhaustive cycle of variable parameters of the interpolation method, according to The chl‑a concentration values measured simultaneously at all ground monitoring stations are used to calculate the mean square error between the interpolation result and the true value after spatial interpolation for each value. The spatial interpolation method and parameter values when the mean square error is the minimum value are the final optimization results. The spatial interpolation method and parameter values finally obtained by this invention 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 conditions of the lake and reservoir area.
Description
Technical field [0001] The invention relates to the field of water quality monitoring, in particular to a remote sensing assisted lake reservoir chl-a concentration spatial interpolation method optimization method and device. Background technique [0002] With the rapid development of my country's economy, people's living standards have been greatly improved, and at the same time they have brought environmental problems. 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 generally present a state of eutrophication, which is directly manifested by the proliferation of algae substances, and the proportion of chlorophyll a (chl-a) in the algae substances is relatively stable and convenient for manual measurement. Therefore, the content of chlorophyll a is a reflection An important indicator of the degree of eutrophication of a water body. [0003] To comprehens...
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