CN115545576A - River inner lake water quality monitoring method based on multiple targets - Google Patents

River inner lake water quality monitoring method based on multiple targets Download PDF

Info

Publication number
CN115545576A
CN115545576A CN202211516752.4A CN202211516752A CN115545576A CN 115545576 A CN115545576 A CN 115545576A CN 202211516752 A CN202211516752 A CN 202211516752A CN 115545576 A CN115545576 A CN 115545576A
Authority
CN
China
Prior art keywords
water quality
river
lake
real
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211516752.4A
Other languages
Chinese (zh)
Other versions
CN115545576B (en
Inventor
植挺生
劳兆城
邓永俊
邹晟
汤智彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Guangyu Technology Development Co Ltd
Original Assignee
Guangdong Guangyu Technology Development Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Guangyu Technology Development Co Ltd filed Critical Guangdong Guangyu Technology Development Co Ltd
Priority to CN202211516752.4A priority Critical patent/CN115545576B/en
Publication of CN115545576A publication Critical patent/CN115545576A/en
Application granted granted Critical
Publication of CN115545576B publication Critical patent/CN115545576B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00Water conservation; Efficient water supply; Efficient water use
    • Y02A20/152Water filtration

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to the field of river lake water quality monitoring, in particular to a river lake water quality monitoring method based on multiple targets, which comprises the following steps: collecting real-time water quality data of the river and real-time water quality data of the historical river at a corresponding moment to obtain a river water quality comparison result; acquiring water quality data of the junction of the rivers and the lakes according to the river water quality comparison result; the water quality monitoring method has the advantages that the water quality data at the junction of the rivers and the lakes are utilized to obtain the water quality monitoring result of the rivers and the lakes, the monitoring errors caused by the errors of single data acquisition or other reasons are avoided by acquiring the data of multiple targets, the influence of time and environmental factors on the water quality change condition is considered, the monitoring accuracy is greatly improved, the workload of manual acquisition is reduced, and the monitoring efficiency of large-range water quality and water is improved.

Description

River inner lake water quality monitoring method based on multiple targets
Technical Field
The invention relates to the field of water quality monitoring of lakes in rivers, in particular to a multi-target-based method for monitoring the water quality of the lakes in the rivers.
Background
The water quality monitoring data is the basis of decision and water quality monitoring of all levels of government departments, the quality of the data is directly related to the human drinking safety, the proposal of all macro decisions, the protection of water resources, the prevention and the prediction of water pollution and the like, china has wide breadth, the quantity of surface rivers and lakes is large, the water quality condition of the rivers cannot be comprehensively mastered in real time, meanwhile, the water flows in real time, the influence of various chemical and biological indexes along with time and environmental conditions cannot be measured at once, and timely and accurate data acquisition is difficult to obtain, so that the water quality and water condition monitoring method comprehensively considering the rivers and the inner lakes continues.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-target-based method for monitoring the water quality of the lakes in rivers, which acquires the water quality data of all river basin sections of rivers and lakes, combines historical data and weather conditions to obtain the water quality monitoring result of the lakes in rivers, considers multiple factors and avoids monitoring errors caused by single data.
In order to achieve the aim, the invention provides a river inner lake water quality monitoring method based on multiple targets, which comprises the following steps:
collecting real-time water quality data of the river and real-time water quality data of the historical river at a corresponding moment to obtain a river water quality comparison result;
acquiring water quality data of the river inner lake junction according to the river water quality comparison result;
obtaining a river inner lake water quality monitoring result by using the water quality data of the river inner lake junction;
wherein, the water quality data is a chemical water quality index and a biological water quality index.
Preferably, the acquiring river real-time water quality data and the historical river real-time water quality data at the corresponding moment to obtain a river water quality comparison result comprises:
collecting real-time water quality data of a river;
acquiring historical river real-time water quality data at corresponding moments by using the river real-time water quality data;
calculating the similarity between the real-time water quality data of the river and the real-time water quality data of the historical river based on an Euclidean distance formula by using the real-time water quality data of the river and the real-time water quality data of the historical river;
and obtaining a river water quality comparison result by utilizing the similarity of the river real-time water quality data and the historical river real-time water quality data.
Further, the obtaining of the river water quality comparison result by using the similarity between the river real-time water quality data and the historical river real-time water quality data comprises:
judging whether the similarity of the river real-time water quality data and the historical river real-time water quality data is greater than a related threshold value, if so, judging that the river water quality comparison result is related, otherwise, judging that the river water quality comparison result is not related;
wherein the correlation threshold is in the range of 0.6-0.8.
Preferably, the step of obtaining the water quality data of the junction of the rivers and the lakes according to the comparison result of the water quality of the rivers comprises the following steps:
when the river water quality comparison result is relevant, using the real-time river water quality data as the water quality data of the junction of the rivers and the lakes;
and when the river water quality comparison result is irrelevant, acquiring real-time water quality data of the junction of the rivers and the lakes to acquire the water quality data of the junction of the rivers and the lakes.
Further, the acquiring real-time water quality data of the junction of the rivers and the lakes to acquire the water quality data of the junction of the rivers and the lakes comprises the following steps:
acquiring real-time water quality data of the junction of the rivers and the lakes and real-time water quality data of the junction of the rivers and the lakes at the previous adjacent moment;
acquiring real-time water quality data of the junction of the corresponding historical rivers by using the real-time water quality data of the junction of the rivers and the lakes;
acquiring real-time water quality data of the historical river-lake junction at the previous moment by using the real-time water quality data of the historical river-lake junction;
calculating the change rate of the real-time water quality data of the historical river inner lake junction by using the real-time water quality data of the historical river inner lake junction and the real-time water quality data of the historical river inner lake junction at the previous moment;
calculating the change rate of the real-time water quality data at the junction of the rivers and the lakes by using the real-time water quality data at the junction of the rivers and the lakes and the real-time water quality data at the junction of the rivers and the lakes at the previous adjacent moment;
and obtaining the water quality data of the junction of the inner rivers by utilizing the change rate of the real-time water quality data of the junction of the historical inner rivers and the change rate of the real-time water quality data of the junction of the inner rivers and the rivers.
Further, the step of obtaining the water quality data of the junction of the river and the lake by using the change rate of the real-time water quality data of the historical junction of the river and the change rate of the real-time water quality data of the junction of the river and the lake comprises the following steps:
and judging whether the difference value between the change rate of the real-time water quality data of the historical river inner lake junction and the change rate of the real-time water quality data of the river inner lake junction is less than 10%, if so, using the real-time water quality data of the river inner lake junction as the water quality data of the river inner lake junction, and otherwise, using the average value of the real-time water quality data of the river inner lake junction and the real-time water quality data of the river inner lake junction at the previous moment as the water quality data of the river inner lake junction.
Further, the step of obtaining the water quality monitoring result of the lake in the river by using the water quality data of the junction of the lake in the river comprises the following steps:
judging whether the water quality data at the junction of the inner lakes of the rivers is real-time water quality data of the rivers, if so, acquiring real-time water quality data of the inner lakes and real-time water quality data of the rivers as water quality monitoring results of the inner lakes of the rivers, and otherwise, acquiring meteorological data of the inner lakes to acquire water quality monitoring results of the inner lakes of the rivers;
wherein, the meteorological data are temperature data, humidity data and precipitation data.
Further, acquiring internal lake meteorological data to obtain a water quality monitoring result of the internal lake of the river comprises the following steps:
acquiring internal lake meteorological data at a corresponding moment according to the real-time water quality data at the junction of the internal lake of the river;
acquiring internal lake meteorological data of a corresponding moment adjacent to the previous moment by using the internal lake meteorological data of the corresponding moment;
acquiring historical internal lake meteorological data at the same time by using the internal lake meteorological data at the corresponding time;
acquiring the lake inland meteorological data of the previous historical moment at the same time by using the lake inland meteorological data of the historical moment at the same time;
calculating the change rate of the internal lake meteorological data by using the internal lake meteorological data at the corresponding moment and the internal lake meteorological data at the corresponding moment adjacent to the previous moment;
calculating the change rate of the lake inland meteorological data at the same time of history by utilizing the lake inland meteorological data at the same time of history and the lake inland meteorological data at the previous time of the history;
and obtaining a river inner lake water quality monitoring result by using the inner lake meteorological data change rate and the history inner lake meteorological data change rate at the same time.
Further, the obtaining of the river inner lake water quality monitoring result by utilizing the inner lake meteorological data change rate and the historical inner lake meteorological data change rate at the same time comprises the following steps:
judging whether the change rate of the internal lake meteorological data is strongly or extremely correlated with the change rate of the internal lake meteorological data at the same time of history, if so, using the average value of the real-time water quality data at the junction of the internal lakes of rivers and the real-time water quality data at the junction of the internal lakes of rivers at the previous moment as the water quality monitoring result of the internal lakes of rivers, and otherwise, using the real-time water quality data of the internal lakes to obtain the water quality monitoring result of the internal lakes of rivers;
wherein, the strong correlation is a correlation coefficient of 0.6 to 0.8, and the strong correlation is a correlation coefficient of 0.8 to 1.
Further, the obtaining of the water quality monitoring result of the lake in the river by using the real-time water quality data of the lake in the river comprises the following steps:
and calculating the basic water quality data of the internal lake by using the difference value of the change rate of the internal lake meteorological data and the change rate of the internal lake meteorological data at the same time as the history according to the following formula:
Figure 3979DEST_PATH_IMAGE001
wherein p is the basic water quality data of the internal lake, n is the real-time water quality data of the internal lake, b 1 Is the rate of change of meteorological data of the internal lake, b 2 The change rate of the internal lake meteorological data at the same time in history.
And using the foundation water quality data of the inner lake and the real-time water quality data of the river as the water quality monitoring result of the inner lake of the river.
Compared with the closest prior art, the invention has the following beneficial effects:
the method has the advantages that various data related to water quality change conditions of lakes in rivers are collected, step-by-step monitoring is carried out, environmental data are introduced to judge the conditions of real-time monitoring, one-time data collection is realized under the condition of ideal conditions, large-range and multi-zone water quality condition monitoring of the lakes in the rivers can be completed, monitoring errors caused by errors of single data collection or other reasons are avoided due to the collection of multi-target data, the accuracy of monitoring is greatly improved, the workload of manual collection is reduced, and the monitoring efficiency of large-range water quality bodies is improved.
Drawings
FIG. 1 is a flow chart of a multi-target-based method for monitoring water quality of lakes in rivers provided by the invention.
Detailed Description
The following provides a more detailed description of embodiments of the present invention, with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
the invention provides a river lake water quality monitoring method based on multiple targets, which comprises the following steps of:
s1, collecting real-time water quality data of a river and real-time water quality data of a historical river at a corresponding moment to obtain a river water quality comparison result;
s2, acquiring water quality data of the junction of the rivers and the lakes according to the river water quality comparison result;
s3, obtaining a river inner lake water quality monitoring result by using the water quality data of the river inner lake junction;
wherein, the water quality data is a chemical water quality index and a biological water quality index.
In the embodiment, a river lake water quality monitoring method based on multiple targets comprises the following chemical water quality indexes:
general chemical water quality indexes include pH, hardness, alkalinity, various ions, general organic substances, and the like.
1) The pH value. The pH value of the natural water body is 6.0-8.5. The determination can be carried out by a test paper method, a colorimetric method and a potentiometric method. Although the test paper method is simple, the error is larger; the colorimetric method is carried out by using different color developing agents, and is inconvenient to compare; potentiometric methods were performed using a general acidimeter.
2) Hardness. The total hardness of water refers to the total concentration of calcium and magnesium ions in water. These include carbonate hardness (i.e., the hardness of calcium and magnesium ions precipitated as carbonates by heating, which is also called temporary hardness and non-carbonate hardness (i.e., the hardness of calcium and magnesium ions that cannot be precipitated after heating, which is also called permanent hardness).
The sum of the carbonate hardness and the non-carbonate hardness is called the total hardness; the content of calcium ions in water is called calcium hardness; the content of magnesium ions in water is called magnesium hardness; when the total hardness of water is less than the total alkalinity, the difference between the two is called negative hardness.
3) Alkalinity. The alkalinity refers to all substances capable of performing a neutralization reaction with strong acid in water, namely the proton accepting capacity of water, and comprises various strong bases, weak bases, strong base weak acid salts, organic bases and the like;
the biological water quality indexes comprise:
generally including total bacteria, total coliform bacteria, various pathogenic bacteria, viruses, etc.
S1 specifically comprises the following steps:
s1-1, collecting real-time river water quality data;
s1-2, acquiring historical river real-time water quality data at corresponding moments by using the river real-time water quality data;
s1-3, calculating the similarity between the real-time water quality data of the river and the real-time water quality data of the historical river based on an Euclidean distance formula by using the real-time water quality data of the river and the real-time water quality data of the historical river;
s1-4, obtaining a river water quality comparison result by utilizing the similarity of the river real-time water quality data and historical river real-time water quality data.
S1-4 specifically includes:
s1-4-1, judging whether the similarity of the river real-time water quality data and the historical river real-time water quality data is greater than a related threshold value, if so, determining that the river water quality comparison result is related, otherwise, determining that the river water quality comparison result is not related;
wherein the correlation threshold is in the range of 0.6-0.8.
In the embodiment, correlation coefficients and correlation degrees of similarity are shown in the following table:
correlation coefficient Degree of correlation
0.8-1 Very strong correlation
0.6-0.8 Strong correlation
0.4-0.6 Moderate degree of correlation
0.2-0.4 Weak correlation
0-0.2 Very weak or no correlation
S2 specifically comprises the following steps:
s2-1, when the river water quality comparison result is relevant, using real-time river water quality data as water quality data of a river inner lake junction;
s2-2, when the river water quality comparison result is irrelevant, collecting real-time water quality data of the junction of the inner lakes of rivers to obtain water quality data of the junction of the inner lakes of rivers.
In this embodiment, a multi-objective-based method for monitoring water quality of lakes in rivers includes acquiring real-time water quality data of rivers, and acquiring real-time water quality data of junctions of lakes in rivers. Meanwhile, according to the correlation of the river water quality comparison result, whether the real-time water quality data and the historical water quality data have large changes at the same time can be obtained, and when the correlation of the comparison result is weak, the water quality has large changes in the flowing process, so that the real-time data of the junction needs to be collected to be used as the water quality data of the junction of the rivers and the lakes.
S2-2 specifically comprises:
s2-2-1, acquiring real-time water quality data of the junction of the river and the junction of the river and the lake at the previous adjacent moment;
s2-2-2, acquiring real-time water quality data of the junction of the corresponding historical rivers and lakes by using the real-time water quality data of the junction of the rivers and lakes;
s2-2-3, acquiring real-time water quality data of the junction of the historical rivers and the lakes at the previous adjacent moment by using the real-time water quality data of the junction of the historical rivers and the lakes;
s2-2-4, calculating the change rate of the real-time water quality data of the historical river-lake junction by using the real-time water quality data of the historical river-lake junction and the real-time water quality data of the historical river-lake junction at the previous moment;
s2-2-5, calculating the change rate of the real-time water quality data of the junction of the rivers and the lakes by using the real-time water quality data of the junction of the rivers and the lakes and the real-time water quality data of the junction of the rivers and the lakes at the previous moment;
s2-2-6, obtaining water quality data of the junction of the inner rivers by utilizing the change rate of the real-time water quality data of the junction of the historical inner rivers and the change rate of the real-time water quality data of the junction of the inner rivers and the historical inner rivers.
In this embodiment, a multi-objective based method for monitoring water quality of rivers and lakes includes the following steps of calculating a change rate of real-time water quality data of a historical river and lake junction by using real-time water quality data of the historical river and lake junction and real-time water quality data of the historical river and lake junction at the previous time:
Figure 83930DEST_PATH_IMAGE002
wherein k is the real-time water quality data change rate of the junction of the historical rivers and lakes, x 1 Is real-time water quality data of historical river inner lake junction, y 1 The real-time water quality data of the junction of the historical rivers and lakes at the previous moment are obtained.
The calculation formula for calculating the change rate of the real-time water quality data at the river inner lake junction by using the real-time water quality data at the river inner lake junction and the real-time water quality data at the river inner lake junction at the previous moment is as follows:
Figure 437551DEST_PATH_IMAGE003
wherein k is 1 Is the real-time water quality data change rate, x, of the junction of the river and the lake 2 Is real-time water quality data y of river inner lake junction 2 The real-time water quality data of the junction of the rivers and lakes at the previous adjacent moment.
S2-2-6 specifically comprises:
s2-2-6-1, judging whether the difference value of the change rate of the real-time water quality data of the historical river inner lake junction and the change rate of the real-time water quality data of the river inner lake junction is smaller than 10%, if so, using the real-time water quality data of the river inner lake junction as the water quality data of the river inner lake junction, and otherwise, using the average value of the real-time water quality data of the river inner lake junction and the real-time water quality data of the river inner lake junction at the previous moment as the water quality data of the river inner lake junction.
S3 specifically comprises the following steps:
s3-1, judging whether the water quality data at the junction of the inner lakes of the rivers is real-time river water quality data, if so, acquiring real-time water quality data of the inner lakes and real-time water quality data of the rivers as water quality monitoring results of the inner lakes of the rivers, and otherwise, acquiring meteorological data of the inner lakes to acquire water quality monitoring results of the inner lakes of the rivers;
wherein, the meteorological data are temperature data, humidity data and precipitation data.
In the embodiment, temperature data, humidity data and precipitation data are selected as meteorological data to participate in the monitoring process to obtain, the temperature and the humidity are closely related to the number of organisms in a water body and the production condition, and the precipitation data influence the content condition of chemical elements in the water quality data.
S3-1 specifically comprises:
s3-1-1, acquiring internal lake meteorological data at a corresponding moment according to real-time water quality data at the junction of rivers and internal lakes;
s3-1-2, acquiring corresponding-time internal lake meteorological data adjacent to the previous time by using the corresponding-time internal lake meteorological data;
s3-1-3, acquiring historical internal lake meteorological data at the same time by using the internal lake meteorological data at the corresponding time;
s3-1-4, acquiring historical and simultaneous internal lake meteorological data at the previous moment by using the historical and simultaneous internal lake meteorological data;
s3-1-5, calculating the change rate of the internal lake meteorological data by using the internal lake meteorological data at the corresponding moment and the internal lake meteorological data at the corresponding moment adjacent to the previous moment;
s3-1-6, calculating the change rate of the historical simultaneous internal lake meteorological data by using the historical simultaneous internal lake meteorological data and the historical simultaneous internal lake meteorological data at the previous moment;
s3-1-7, obtaining a river internal lake water quality monitoring result by utilizing the internal lake meteorological data change rate and the historical internal lake meteorological data change rate at the same time.
In this embodiment, a multi-target-based method for monitoring water quality of lakes in rivers includes the following calculation formula for calculating the change rate of the lake interior meteorological data by using the lake interior meteorological data at the corresponding time and the lake interior meteorological data at the corresponding time adjacent to the previous time:
Figure 235743DEST_PATH_IMAGE004
wherein, b 1 Is the change rate of meteorological data of internal lake, t 1 Is the internal lake meteorological data at the corresponding moment r 1 The data is the internal lake meteorological data of the corresponding moment adjacent to the previous moment.
The calculation formula for calculating the change rate of the historical simultaneous-moment inland lake meteorological data by using the historical simultaneous-moment inland lake meteorological data and the historical simultaneous-moment inland lake meteorological data at the previous moment is as follows:
Figure 762539DEST_PATH_IMAGE005
wherein, b 2 The change rate of the meteorological data of the internal lake at the same time of history, t 2 For historical simultaneous interpretation of inland lake meteorological data, r 2 And the historical data of the internal lake at the same time of the previous time are the meteorological data of the internal lake at the same time of the previous time.
S3-1-7 specifically comprises:
s3-1-7-1, judging whether the change rate of the internal lake meteorological data is strongly or extremely correlated with the change rate of the internal lake meteorological data at the historical moment, if so, using the average value of the real-time water quality data at the junction of the internal lakes of rivers and the real-time water quality data at the junction of the internal lakes of rivers at the previous moment as the water quality monitoring result of the internal lakes of rivers, and otherwise, using the real-time water quality data of the internal lakes to obtain the water quality monitoring result of the internal lakes of rivers;
wherein, the strong correlation is a correlation coefficient of 0.6 to 0.8, and the strong correlation is a correlation coefficient of 0.8 to 1.
In this embodiment, a multi-objective-based method for monitoring water quality of lakes in rivers includes the following calculation formula for calculating correlation coefficients by using the change rate of meteorological data of lakes and the change rate of meteorological data of lakes at the same time of history:
Figure 962577DEST_PATH_IMAGE006
wherein r is a correlation coefficient, X is the change rate of the internal lake meteorological data, Y is the change rate of the internal lake meteorological data of the history and the moment, cov (X, Y) is the covariance of X and Y, var [ X ] is the variance of X, and Var [ Y ] is the variance of Y.
S3-1-7-2, calculating the lake-inland water quality data by using the difference value of the lake-inland meteorological data change rate and the lake-inland meteorological data change rate at the same time as the history according to the following formula:
Figure 487099DEST_PATH_IMAGE007
wherein p is basic water quality data of the internal lake, n is real-time water quality data of the internal lake, b 1 Is the rate of change of meteorological data of internal lake, b 2 The change rate of the internal lake meteorological data at the same time in history.
And S3-1-7-3, and using the foundation water quality data of the inner lake and the real-time water quality data of the river as the water quality monitoring result of the inner lake of the river.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A river inner lake water quality monitoring method based on multiple targets is characterized by comprising the following steps:
collecting real-time water quality data of the river and real-time water quality data of the historical river at a corresponding moment to obtain a river water quality comparison result;
acquiring water quality data of the river inner lake junction according to the river water quality comparison result;
obtaining a river inner lake water quality monitoring result by using the water quality data of the river inner lake junction;
wherein, the water quality data is a chemical water quality index and a biological water quality index.
2. The multi-target-based river and lake water quality monitoring method of claim 1, wherein the acquiring of the real-time river water quality data and the historical real-time river water quality data at the corresponding moment to obtain a river water quality comparison result comprises:
collecting real-time water quality data of a river;
acquiring historical river real-time water quality data at corresponding moments by using the river real-time water quality data;
calculating the similarity between the real-time water quality data of the river and the real-time water quality data of the historical river based on an Euclidean distance formula by using the real-time water quality data of the river and the real-time water quality data of the historical river;
and obtaining a river water quality comparison result by utilizing the similarity of the river real-time water quality data and the historical river real-time water quality data.
3. The multi-target-based river and lake water quality monitoring method of claim 2, wherein the obtaining of the river water quality comparison result by using the similarity between the real-time river water quality data and the real-time historical river water quality data comprises:
judging whether the similarity between the real-time river water quality data and the historical real-time river water quality data is greater than a relevant threshold value, if so, determining that the river water quality comparison result is relevant, otherwise, determining that the river water quality comparison result is irrelevant;
wherein the correlation threshold is in the range of 0.6-0.8.
4. The multi-target-based river and lake water quality monitoring method as claimed in claim 1, wherein the obtaining of water quality data at the junction of the river and the lake according to the river water quality comparison result comprises:
when the river water quality comparison result is relevant, using the real-time river water quality data as the water quality data of the junction of the rivers and the lakes;
and when the river water quality comparison result is irrelevant, acquiring real-time water quality data at the junction of the rivers and the lakes to acquire water quality data at the junction of the rivers and the lakes.
5. The multi-target-based river lake water quality monitoring method as claimed in claim 4, wherein the acquiring of the real-time water quality data at the junction of the river lake to obtain the water quality data at the junction of the river lake comprises:
acquiring real-time water quality data of the junction of the rivers and the lakes and real-time water quality data of the junction of the rivers and the lakes at the previous adjacent moment;
acquiring real-time water quality data of the junction of the corresponding historical rivers by using the real-time water quality data of the junction of the rivers and the lakes;
acquiring real-time water quality data of the junction of the historical rivers and the lakes at the previous moment by using the real-time water quality data of the junction of the historical rivers and the lakes;
calculating the change rate of the real-time water quality data of the historical river inner lake junction by using the real-time water quality data of the historical river inner lake junction and the real-time water quality data of the historical river inner lake junction at the previous moment;
calculating the change rate of the real-time water quality data at the junction of the rivers and the lakes by using the real-time water quality data at the junction of the rivers and the lakes and the real-time water quality data at the junction of the rivers and the lakes at the previous adjacent moment;
and obtaining the water quality data of the junction of the inner rivers by utilizing the change rate of the real-time water quality data of the junction of the historical inner rivers and the change rate of the real-time water quality data of the junction of the inner rivers and the rivers.
6. The multi-target-based river lake water quality monitoring method of claim 5, wherein the obtaining of the water quality data of the river lake junction by using the historical water quality data change rate of the river lake junction and the real-time water quality data change rate of the river lake junction comprises:
and judging whether the difference value between the change rate of the real-time water quality data of the historical river inner lake junction and the change rate of the real-time water quality data of the river inner lake junction is less than 10%, if so, using the real-time water quality data of the river inner lake junction as the water quality data of the river inner lake junction, and otherwise, using the average value of the real-time water quality data of the river inner lake junction and the real-time water quality data of the river inner lake junction at the previous moment as the water quality data of the river inner lake junction.
7. The multi-target-based water quality monitoring method for the lakes in rivers according to claim 4, wherein the step of obtaining the water quality monitoring result of the lakes in rivers by using the water quality data at the junctions of the lakes in rivers comprises the following steps:
judging whether the water quality data at the junction of the inner lakes of the rivers is real-time water quality data of the rivers, if so, acquiring real-time water quality data of the inner lakes and real-time water quality data of the rivers as water quality monitoring results of the inner lakes of the rivers, and otherwise, acquiring meteorological data of the inner lakes to acquire water quality monitoring results of the inner lakes of the rivers;
wherein, the meteorological data are temperature data, humidity data and precipitation data.
8. The multi-target-based river and lake water quality monitoring method as claimed in claim 7, wherein the acquiring of the lake-interior meteorological data to obtain the river and lake water quality monitoring result comprises:
acquiring internal lake meteorological data at a corresponding moment according to the real-time water quality data at the junction of the internal lakes of the rivers;
acquiring the internal lake meteorological data at the corresponding moment adjacent to the previous moment by using the internal lake meteorological data at the corresponding moment;
acquiring historical internal lake meteorological data at the same time by using the internal lake meteorological data at the corresponding time;
acquiring the internal lake meteorological data of the previous historical moment by using the internal lake meteorological data of the historical moment;
calculating the change rate of the internal lake meteorological data by using the internal lake meteorological data at the corresponding moment and the internal lake meteorological data at the corresponding moment adjacent to the previous moment;
calculating the change rate of the historical simultaneous internal lake meteorological data by using the historical simultaneous internal lake meteorological data and the historical simultaneous internal lake meteorological data at the previous moment;
and obtaining a river inner lake water quality monitoring result by using the inner lake meteorological data change rate and the history inner lake meteorological data change rate at the same time.
9. The multi-target-based method for monitoring the water quality of the lakes in rivers according to claim 8, wherein the step of obtaining the result of monitoring the water quality of the lakes in rivers by using the change rate of the meteorological data of the lakes and the change rate of the meteorological data of the lakes at the same moment in history comprises the following steps:
judging whether the change rate of the internal lake meteorological data is strongly or extremely correlated with the change rate of the internal lake meteorological data at the same time of history, if so, using the average value of the real-time water quality data at the junction of the internal lakes of rivers and the real-time water quality data at the junction of the internal lakes of rivers at the previous moment as the water quality monitoring result of the internal lakes of rivers, and otherwise, using the real-time water quality data of the internal lakes to obtain the water quality monitoring result of the internal lakes of rivers;
wherein, the strong correlation is a correlation coefficient of 0.6 to 0.8, and the strong correlation is a correlation coefficient of 0.8 to 1.
10. The multi-target-based water quality monitoring method for the lakes in rivers according to claim 9, wherein the step of obtaining the water quality monitoring result of the lakes in rivers by using the real-time water quality data of the lakes in rivers comprises the following steps:
and calculating the basic water quality data of the internal lake by using the difference value of the change rate of the internal lake meteorological data and the change rate of the internal lake meteorological data at the same time as the history according to the following formula:
Figure 969945DEST_PATH_IMAGE001
wherein p is the water quality number of the foundation of the internal lakeAccording to n is real-time water quality data of internal lake, b 1 Is the rate of change of meteorological data of internal lake, b 2 The change rate of the lake-inland meteorological data is historical at the same time;
and using the foundation water quality data of the inner lake and the real-time water quality data of the river as the water quality monitoring result of the inner lake of the river.
CN202211516752.4A 2022-11-30 2022-11-30 Multi-target-based method for monitoring water quality of lake in river Active CN115545576B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211516752.4A CN115545576B (en) 2022-11-30 2022-11-30 Multi-target-based method for monitoring water quality of lake in river

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211516752.4A CN115545576B (en) 2022-11-30 2022-11-30 Multi-target-based method for monitoring water quality of lake in river

Publications (2)

Publication Number Publication Date
CN115545576A true CN115545576A (en) 2022-12-30
CN115545576B CN115545576B (en) 2023-04-18

Family

ID=84722620

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211516752.4A Active CN115545576B (en) 2022-11-30 2022-11-30 Multi-target-based method for monitoring water quality of lake in river

Country Status (1)

Country Link
CN (1) CN115545576B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001027634A (en) * 1999-07-13 2001-01-30 Hitachi Ltd Water quality-monitoring system
CN102903014A (en) * 2012-09-06 2013-01-30 戴会超 Optimized layout method of water environment quality monitoring stations of river and lake intersected water system
CN109145499A (en) * 2018-09-13 2019-01-04 江苏卓易信息科技股份有限公司 Weight based on the polymorphic calculating in river and Arima model combines water quality prediction method
KR20190097366A (en) * 2018-02-12 2019-08-21 주식회사 글로비트 Mobile water quality monitoring system and method
CN110929743A (en) * 2018-09-19 2020-03-27 上海仪电(集团)有限公司中央研究院 Water quality pollutant change monitoring system based on time series association and cluster analysis
CN112348290A (en) * 2020-12-03 2021-02-09 西安交大长天软件股份有限公司 River water quality prediction method, device, storage medium and equipment
CN112966891A (en) * 2021-01-23 2021-06-15 成都市环境保护科学研究院(成都市固体废物管理中心) River water environment quality prediction method
CN115146874A (en) * 2022-08-03 2022-10-04 电子科技大学 River water quality prediction method based on multi-graph convolution network
CN115343439A (en) * 2022-10-14 2022-11-15 广东广宇科技发展有限公司 Urban inland river basin water quality monitoring method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001027634A (en) * 1999-07-13 2001-01-30 Hitachi Ltd Water quality-monitoring system
CN102903014A (en) * 2012-09-06 2013-01-30 戴会超 Optimized layout method of water environment quality monitoring stations of river and lake intersected water system
KR20190097366A (en) * 2018-02-12 2019-08-21 주식회사 글로비트 Mobile water quality monitoring system and method
CN109145499A (en) * 2018-09-13 2019-01-04 江苏卓易信息科技股份有限公司 Weight based on the polymorphic calculating in river and Arima model combines water quality prediction method
CN110929743A (en) * 2018-09-19 2020-03-27 上海仪电(集团)有限公司中央研究院 Water quality pollutant change monitoring system based on time series association and cluster analysis
CN112348290A (en) * 2020-12-03 2021-02-09 西安交大长天软件股份有限公司 River water quality prediction method, device, storage medium and equipment
CN112966891A (en) * 2021-01-23 2021-06-15 成都市环境保护科学研究院(成都市固体废物管理中心) River water environment quality prediction method
CN115146874A (en) * 2022-08-03 2022-10-04 电子科技大学 River water quality prediction method based on multi-graph convolution network
CN115343439A (en) * 2022-10-14 2022-11-15 广东广宇科技发展有限公司 Urban inland river basin water quality monitoring method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张洪等: "小尺度流域河湖水质关联性分析", 《生态与农村环境学报》 *

Also Published As

Publication number Publication date
CN115545576B (en) 2023-04-18

Similar Documents

Publication Publication Date Title
Dai et al. Oxygen depletion in the upper reach of the Pearl River estuary during a winter drought
CN107247888B (en) Method for soft measurement of total phosphorus TP (thermal transfer profile) in sewage treatment effluent based on storage pool network
CN115470702A (en) Sewage treatment water quality prediction method and system based on machine learning
Nong et al. Analysis of spatio-temporal variation in phytoplankton and its relationship with water quality parameters in the South-to-North Water Diversion Project of China
CN115545576B (en) Multi-target-based method for monitoring water quality of lake in river
CN108549740A (en) A kind of anaerobic system water outlet ammonia nitrogen flexible measurement method based on integrated intelligent algorithm
CN117776336A (en) Water pretreatment method and anaerobic ammonia oxidation water treatment process
CN115343439A (en) Urban inland river basin water quality monitoring method
Lin et al. Implication of self-organizing map, stable isotopes combined with MixSIAR model for accurate nitrogen control in a well-protected reservoir
Champagne et al. Time series relationships between chlorophyll-a, physicochemical parameters, and nutrients in the Eastern Harbour of Alexandria, Egypt
Liao et al. Water quality during development and apportionment of pollution from rivers in Tapeng Lagoon, Taiwan
Luo et al. Analyzing the algal bloom risk and its relationship with environmental variables in urban landscape water
CN107367530B (en) Method for quickly identifying water environment pollution type based on physicochemical-bioelectrochemical system
Hz et al. Water Quality Status of the Rivers in Tembilahan City Based on Physical-Chemical Parameters and Storet Index
Yuan High frequency variation characteristics of water quality and algae in Meiliang Bay of Taihu Lake in summer and the correlation analysis
Hua et al. Temporal Seasonal Variations and Source Apportionment of Water Pollution in Melaka River Basin using Multivariate Statistical Techniques.
Fan et al. Divergence of carbon dioxide fluxes in different trophic areas of Taihu Lake, China
RU2405143C1 (en) Method of taking water samples from bank of big rivers
Hao et al. Characteristics of Phytoplankton Community Structure and Eutrophication in Hasu Sea
Bacu et al. A comparative study on the efficiency of use of different physical and biological parameters for the evaluation of the level of trophy in the lagoon system of Kune-Vain, Albania
Yang et al. SEASONAL PATTERN OF N 2 O CONCENTRATIONS AND EMISSIONS IN THE SEWAGE-ENRICHED RIVERS: CASE OF CHAOHU LAKE BASIN IN SOUTHEAST CHINA.
Kairesalo et al. Thymidine incorporation by littoral and pelagial bacterioplankton in a mesohumic lake
Gong et al. Study on Nitrogen, Phosphor and Chemical Oxygen Demand of Differnt Categories of Aquaculture Lakes by Means of Principal Component Analysis, Factor Analysis and Cluster Analysis
Liyuan et al. Water quality evaluation for the main inflow rivers of nansihu lake
Anuttarunggoon et al. Characterization of Water Quality in Bungboraped Wetland, Thailand Using Self Organizing Map for Water Quality Management.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant