A collaborative correction method for representative errors of river water quality automatic station monitoring data

Abstract

The present invention provides a method for collaboratively correcting representative errors of river water quality automatic station monitoring data, including correlation analysis between water quality automatic station monitoring data and full-section sampling monitoring data; correction of representative system errors of water quality automatic station monitoring data series; calculation of synchronization errors between water quality automatic station and full-section sampling monitoring data; correction of representative accidental errors of water quality automatic station monitoring data; the method can solve the problem of cross-section representativeness of water quality automatic station monitoring data; eliminate the influence of short-term accidental factors on water quality automatic station monitoring data; and improve the accuracy and rationality of river cross-section water quality monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of water environment monitoring and analysis, and in particular to a collaborative correction method for representative errors of monitoring data of a river water quality automatic station. Background Art

[0002] At present, there are two ways to monitor river water quality. One is to use cableways, ships and other river crossing facilities to arrange multiple vertical lines along the river section, and arrange multiple measuring points on the vertical lines. Through manual sampling and analysis of water quality parameters at each measuring point, the distribution of water quality parameters in the river section can be deduced. This method has high monitoring accuracy and good cross-section representativeness, but the sampling and analysis time is long and the timeliness is poor; the other is to establish an automatic water quality monitoring station, automatically sample and analyze water quality parameters on-site at one or more points on the river bank, and assume that it can represent the distribution of water quality parameters in the river section. This method has good monitoring timeliness, but poor cross-section representativeness.

[0003] At present, there are methods that integrate the data of the two types of monitoring methods to obtain calculation methods that can represent the distribution of water quality parameters in river sections and meet the timeliness requirements. However, most of them only convert the data of automatic water quality stations into full-section data through correlation analysis between the automatic water quality station and the full-section sampling monitoring data, and only correct the systematic errors. There is a lack of effective correction technology for accidental errors caused by changes in precipitation distribution, sampling process, and analysis methods. Summary of the invention

[0004] The purpose of the present invention is to provide a method for collaboratively correcting representative errors of river water quality automatic station monitoring data in view of the above-mentioned deficiencies of the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] The present invention provides a method for collaboratively correcting representative errors of river water quality automatic station monitoring data, comprising the following steps:

[0007] S1. Correlation analysis between water quality automatic station monitoring data and full-section sampling monitoring data;

[0008] S2. Correction of representative system errors in water quality automatic station monitoring data series;

[0009] S3, calculation of synchronization error between water quality automatic station and full-section sampling monitoring data;

[0010] S4. Correction of representative accidental errors in water quality automatic station monitoring data.

[0011] Furthermore, S1 specifically includes: extracting the full-section sampling monitoring data with the same sampling time and water quality automatic station monitoring data Sequence, and establish a correlation model between the full-section sampling monitoring data and the water quality automatic station monitoring data.

[0012] Further, S2 is specifically: using the full-section sampling monitoring data and the water quality automatic station monitoring data, all the monitoring data sequences of the water quality automatic station Converted to full-section data series of water quality automatic station , and record the corresponding time .

[0013] Furthermore, S3 is specifically: using the full section data sequence after conversion by the water quality automatic station , interpolate two adjacent full-section samplings Corresponding time Full section data after water quality automatic station conversion ;

[0014] Calculate the synchronization error between the full-section data and the full-section sampling monitoring data after the water quality automatic station conversion: .

[0015] Further, S4 is specifically: using the calculation of the synchronization error between the full section data after the water quality automatic station conversion and the full section sampling monitoring data , the time segment interpolation method is used to correct the full section data sequence after the water quality automatic station conversion lie in The sequence between :

[0016] , ;

[0017] , ;

[0018] in, lie in The full section data sequence after conversion between automatic water quality stations; lie in The sampling time corresponding to the full section data series after the conversion between the water quality automatic stations;

[0019] Calculate the sequence of full-section sampling monitoring time , that is, to obtain the full-section data sequence of the water quality automatic station after the systematic error and accidental error are revised .

[0020] Furthermore, the automatic water quality station refers to a water quality monitoring station that realizes real-time and continuous monitoring of water quality through single-point or multi-point automatic sampling or automatic analysis.

[0021] The beneficial effects of the present invention are: it can solve the problem of cross-section representativeness of water quality automatic station monitoring data; it can eliminate the influence of short-term accidental factors on water quality automatic station monitoring data; and it can improve the accuracy and rationality of river cross-section water quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a collaborative correction method for representative errors of river water quality automatic station monitoring data;

[0023] Figure 2 This is a correlation analysis diagram of the total nitrogen concentration of the water quality automatic station and the full-section sampling in the embodiment;

[0024] Figure 3 This is a daily total nitrogen concentration curve of the automatic water quality station in the embodiment revised by systematic error and accidental error. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] See also Figure 1 , a collaborative correction method for representative errors of river water quality automatic station monitoring data, comprising the following steps:

[0027] S1. Correlation analysis between water quality automatic station monitoring data and full-section sampling monitoring data;

[0028] S2. Correction of representative system errors in water quality automatic station monitoring data series;

[0029] S3, calculation of synchronization error between water quality automatic station and full-section sampling monitoring data;

[0030] S4. Correction of representative accidental errors in water quality automatic station monitoring data.

[0031] In a specific embodiment, the automatic water quality station refers to a water quality monitoring station that realizes real-time and continuous monitoring of water quality through single-point or multi-point automatic sampling and automatic analysis.

[0032] Full-section sampling is achieved by arranging multiple vertical lines on the control section and arranging multiple measuring points on the vertical lines to reflect the water quality distribution characteristics of the river section.

[0033] The monitoring data of automatic water quality stations refers to the concentration of various substances in the monitored rivers, including the concentration of physical, chemical and biological indicator substances.

[0034] S1 specifically includes: extracting the full-section sampling monitoring data with the same sampling time and water quality automatic station monitoring data Sequence, and establish a correlation model between the full-section sampling monitoring data and the water quality automatic station monitoring data.

[0035] Among them, the same sampling time means that the sampling time of the full-section sampling is the same as that of the water quality automatic station; if the sampling time of the full-section sampling is not much different from that of the water quality automatic station, the water quality automatic station sampling data corresponding to the full-section sampling time is deduced through the two sampling data of the water quality automatic station before and after the full-section sampling time according to the process line linear interpolation method to achieve the same sampling time.

[0036] Full-section sampling monitoring data and automatic water quality station monitoring data, including linear, nonlinear and intelligent correlation models determined through mathematical statistics and AI big data analysis.

[0037] S2 specifically includes: using the full-section sampling monitoring data and the water quality automatic station monitoring data to sequence all the monitoring data of the water quality automatic station Converted to full-section data series of water quality automatic station , and record the corresponding time .

[0038] Among them, the representative systematic error refers to the error between the automatic water quality station and the full-section sampling due to insufficient arrangement of vertical lines and measuring points.

[0039] S3 specifically includes: using the full section data sequence after conversion by the water quality automatic station , interpolate two adjacent full-section samplings Corresponding time Full section data after water quality automatic station conversion ;

[0040] Calculate the synchronization error between the full-section data and the full-section sampling monitoring data after the water quality automatic station conversion: .

[0041] The S4 is specifically: using the calculation of the synchronization error between the full section data after the water quality automatic station conversion and the full section sampling monitoring data , the time segment interpolation method is used to correct the full section data sequence after the water quality automatic station conversion lie in The sequence between :

[0042] , ;

[0043] , ;

[0044] in, lie in The full section data sequence after conversion between automatic water quality stations; lie in The sampling time corresponding to the full section data series after the conversion between the water quality automatic stations;

[0045] Calculate the sequence of full-section sampling monitoring time , that is, to obtain the full-section data sequence of the water quality automatic station after the systematic error and accidental error are revised .

[0046] The automatic water quality station refers to a water quality monitoring station that realizes real-time and continuous monitoring of water quality through single-point or multi-point automatic sampling or automatic analysis.

[0047] Representative accidental error refers to the error between the automatic water quality station and the full-section sampling due to the sampling process, analysis method, and accidental factors within a certain period of time.

[0048] Example:

[0049] Taking the total nitrogen index of water quality station A in a certain river basin as an example, manual monitoring is carried out at two points on the left and right vertical lines of the section, and monitoring is carried out once a month; the automatic station is set up on the left bank for shore monitoring, and monitoring is carried out 4 times a day. A total of 36 manual monitoring results from 2021 to 2023 were statistically fitted with the automatic monitoring results at the same sampling time. The automatic station monitoring data was restored with reference to the full section data of manual monitoring, and the corrected automatic station monitoring data Y=0.8774x+0.2036 was obtained. Figure 2 .

[0050] According to the conversion relationship, the total nitrogen concentration of the automatic water quality station is converted into the total nitrogen concentration of the entire section. For example, if the monitoring data of the automatic station is 1.40 mg / L, it will be 1.43 mg / L after conversion.

[0051] Taking the daily monitoring data of water quality station A in June as an example, according to S3, the synchronization error between the full-section data after the water quality automatic station conversion and the full-section sampling monitoring data is calculated;

[0052] According to the formula, the automatic station correction concentration is corrected twice, such as Figure 3 .

[0053] The above-mentioned embodiments only express the implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be based on the attached claims.

Claims

1. A collaborative correction method for representative errors of river water quality automatic station monitoring data, characterized in that: The following steps are involved: S1. Correlation analysis between water quality automatic station monitoring data and full-section sampling monitoring data; S2. Correction of representative system errors in water quality automatic station monitoring data series; S3, calculation of synchronization error between water quality automatic station and full-section sampling monitoring data; S4. Correction of representative accidental errors in water quality automatic station monitoring data; S1 specifically includes: extracting the full-section sampling monitoring data with the same sampling time and water quality automatic station monitoring data Sequence, establish the correlation model between the full-section sampling monitoring data and the water quality automatic station monitoring data; S2 specifically includes: using the full-section sampling monitoring data and the water quality automatic station monitoring data to sequence all the monitoring data of the water quality automatic station Converted into full-section data series of water quality automatic station , and record the corresponding time ; S3 specifically includes: using the full section data sequence after conversion by the water quality automatic station , interpolate two adjacent full-section samplings Corresponding time Full section data after water quality automatic station conversion ; Calculate the synchronization error between the full-section data and the full-section sampling monitoring data after the water quality automatic station conversion: ; The S4 is specifically: using the calculation of the synchronization error between the full section data after the water quality automatic station conversion and the full section sampling monitoring data , the time segment interpolation method is used to correct the full section data sequence after the water quality automatic station conversion lie in The sequence between : ， ； ， ； in, lie in The full section data sequence after conversion between automatic water quality stations; lie in The sampling time corresponding to the full section data series after the conversion between the water quality automatic stations; Calculate the sequence of full-section sampling monitoring time , that is, to obtain the full-section data sequence of the water quality automatic station after the systematic error and accidental error are revised .

2. According to claim 1, a method for collaborative correction of representative errors of river water quality automatic station monitoring data is characterized in that: The automatic water quality station refers to a water quality monitoring station that realizes real-time and continuous monitoring of water quality through single-point or multi-point automatic sampling or automatic analysis.

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