CN114372733A - River health condition assessment method - Google Patents

River health condition assessment method Download PDF

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CN114372733A
CN114372733A CN202210282985.6A CN202210282985A CN114372733A CN 114372733 A CN114372733 A CN 114372733A CN 202210282985 A CN202210282985 A CN 202210282985A CN 114372733 A CN114372733 A CN 114372733A
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river
health
bank
evaluation index
detection device
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何孟�
龙莉
彭立
徐明曦
巨莉
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HYDRAULIC SCIENCE RESEARCH INSTITUTE OF SICHUAN PROVINCE
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    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Abstract

The invention discloses a river health condition evaluation method, which comprises the following steps: s1, determining an evaluation index and a health grade; s2, obtaining an evaluation index value; s3, acquiring a standard characteristic value and a weight corresponding to each evaluation index; s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition; s5, acquiring the membership degree of the river health condition of each sample to the health grade; s6, obtaining a river health assessment index of the sample; and S7, evaluating the health condition of the river according to the river health evaluation index. The invention comprehensively considers 15 indexes, processes the data of each index through the engineering fuzzy set theory, can better solve the problem of combining the uncertain evaluation factors and the content change thereof, and further more effectively evaluates the health condition of the river.

Description

River health condition assessment method
Technical Field
The invention relates to the field of river health assessment, in particular to a river health condition assessment method.
Background
The river is used as an important component of a river basin system, and the physical and water chemical characteristics of the river in the river basin, such as runoff, river channels, matrix types, water and sand characteristics, and the like, are determined by factors such as natural geography, climate, geology, land utilization and the like of the river basin. Meanwhile, various ecological processes in the river system are interconnected, influenced and restricted, and the damage of local rivers or the influence on a certain ecological process of the rivers can affect the whole river system.
The river is a part of the natural environment, and the healthy river can normally play various functions of the river in the succession of the natural environment, thereby being beneficial to maintaining the normal material circulation and energy transmission process in the natural world. The ecological environment function of the river is also the basic guarantee for creating a suitable living environment for human beings, and the influence of the river on the ecological environment directly or indirectly influences the existence and development of the human society. In order to maintain the sustainable utilization of river resources and make the river system better meet the development needs of human society, the normal ecological environment function of the river needs to be maintained. For the river system, the advantages and disadvantages of the ecological environment function are reflected in the aspects of the quantity, the individual size, the structural composition, the reproductive state and the like of aquatic organisms, so that the good ecological state of the river is the external expression of the healthy ecological environment function of the river.
The health condition of the river is evaluated, the health degree of the river can be detected, and the river is convenient to maintain and manage.
Disclosure of Invention
Aiming at the defects in the prior art, the river health condition evaluation method provided by the invention can be used for carrying out more comprehensive health evaluation on the river.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that:
provided is a river health condition evaluation method, comprising the following steps:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
Further, the river evaluation indexes in the step S1 include 15 evaluation indexes of hydrological variation value, river cutoff probability, ecological water demand guarantee rate, sand content change rate, water quality standard reaching rate, river channel change condition, river channel bending degree, river bank stability, river bed stability, river bank revetment form, river bank bandwidth, river bank structural integrity, river bank longitudinal continuity, fish species change rate and floating algae diversity;
the number of the health grades in the step S1 is 4, and the health grades, the sub-health grades, the disease grades and the deterioration grades are respectively healthy, sub-healthy, ill-conditioned and deteriorated; in the health level, the standard characteristic value corresponding to health is 1, the standard characteristic value corresponding to sub-health is 2, the standard characteristic value corresponding to morbidity is 3, and the standard characteristic value corresponding to deterioration is 4.
Further, the method for obtaining the weights of the different evaluation indexes in step S3 includes:
according to the formula
Figure 948005DEST_PATH_IMAGE001
Obtaining any samplejAny one of the evaluation indexesiWeight of (2)
Figure 100002_DEST_PATH_IMAGE002
(ii) a WhereinWIs any one samplejInkA weight vector of each evaluation index;j∈(1,2,…,m),mis the total number of samples;i∈(1,2,…,k) The total number of evaluation indexes of each sample is the same and iskcThe number of health grades;his as followshThe health level of the patient is determined,h∈(1,2,…,c);
Figure 237035DEST_PATH_IMAGE003
for any evaluation indexiAt a health levelhThe standard characteristic value of (1);
Figure 100002_DEST_PATH_IMAGE004
is any one samplejMiddle evaluation indexiA characteristic value of (d);
Figure 323940DEST_PATH_IMAGE005
is an intermediate parameter.
Further, the step S4 includes the following sub-steps:
s4-1, mixing all samples
Figure 100002_DEST_PATH_IMAGE006
The evaluation index value is expressed by a matrix
Figure 63226DEST_PATH_IMAGE007
Obtaining an evaluation index value matrixX
Figure 100002_DEST_PATH_IMAGE008
S4-2, representing the standard characteristic value corresponding to each evaluation index by the following matrix
Figure 235581DEST_PATH_IMAGE009
Get the standardEigenvalue matrixY(ii) a Wherein
Figure 100002_DEST_PATH_IMAGE010
S4-3, judging whether the evaluation index value decreases with the increase of the level, if so, according to the formula
Figure 577570DEST_PATH_IMAGE011
Obtaining any samplejAny one of the evaluation indexesiMembership of corresponding evaluation index value to river health condition
Figure 100002_DEST_PATH_IMAGE012
Degree of membership of each evaluation index to the river health
Figure 784560DEST_PATH_IMAGE012
(ii) a Otherwise according to the formula
Figure 694747DEST_PATH_IMAGE013
Obtaining any samplejAny one of the evaluation indexesiMembership of corresponding evaluation index value to river health condition
Figure 619978DEST_PATH_IMAGE012
Degree of membership of each evaluation index to the river health
Figure 578707DEST_PATH_IMAGE012
S4-4, judging whether the characteristic standard value decreases along with the increase of the level, if so, according to a formula
Figure 100002_DEST_PATH_IMAGE014
Obtaining any evaluation indexiAt any level of healthhStandard characteristic value ofDegree of membership to river health
Figure 312308DEST_PATH_IMAGE015
Degree of membership of each standard feature value to river health
Figure 596658DEST_PATH_IMAGE015
(ii) a Otherwise according to the formula:
Figure 100002_DEST_PATH_IMAGE016
obtaining any evaluation indexiAt any level of healthhDegree of membership of standard characteristic value in (1) to river health
Figure 743606DEST_PATH_IMAGE015
Degree of membership of each standard feature value to river health
Figure 568342DEST_PATH_IMAGE015
Further, the specific method of step S5 is as follows:
according to the formula
Figure 749925DEST_PATH_IMAGE017
Obtaining any samplejRiver health status versus health ratinghRelative degree of membership of
Figure 100002_DEST_PATH_IMAGE018
(ii) a Wherein
Figure 674019DEST_PATH_IMAGE019
Is a samplejEvaluation index and health level ofhThe generalized weight distance therebetween;pis a distance parameter, andp=1 orP=2;
Figure 100002_DEST_PATH_IMAGE020
Is a matrix
Figure 229634DEST_PATH_IMAGE021
Falls into the matrix
Figure 100002_DEST_PATH_IMAGE022
Lower health condition limit of (a);
Figure 795744DEST_PATH_IMAGE023
is a matrix of
Figure 100002_DEST_PATH_IMAGE024
Figure 894150DEST_PATH_IMAGE025
,…,
Figure 100002_DEST_PATH_IMAGE026
) Falls into a matrix (
Figure 661249DEST_PATH_IMAGE027
) Upper health condition limit of (a);
Figure 100002_DEST_PATH_IMAGE028
further, the specific method of step S6 is as follows:
according to the formula
Figure 782789DEST_PATH_IMAGE029
Obtaining a samplejRiver health assessment index of
Figure 100002_DEST_PATH_IMAGE030
Obtaining the river health evaluation index of each sample; wherein
Figure 949328DEST_PATH_IMAGE031
Is the transposition of the matrix;
Figure 100002_DEST_PATH_IMAGE032
further, the specific method of step S7 is as follows:
and according to the health grade value range where the evaluation index of the river health of each sample is located, evaluating the river reach where the sample is located as the health grade, and finishing the evaluation of the health condition of the river.
Further, in the course of acquiring the bank stability of the target river, a bank ecological monitoring device is configured for the bank of the target river;
the river bank ecological monitoring device comprises a river bank slope monitoring device, a water level monitoring device, a vegetation cover monitoring device, an animal detection device, a main control device and a wireless communication device, wherein the main control device is respectively connected with the river bank slope monitoring device, the water level monitoring device, the vegetation cover monitoring device, the animal detection device and the wireless communication device;
the river bank slope monitoring device is used for monitoring the river bank slope information of the target river in real time;
the water level monitoring device is used for monitoring the river bank water level information of the target river in real time;
the vegetation coverage monitoring device is used for monitoring the river bank vegetation coverage information of the target river in real time;
the animal detection device is used for monitoring the information of the animal submergence and the animal submergence on the river bank of the target river in real time;
and the main control device sends the bank slope information, the bank water level information, the bank vegetation coverage information and the bank animal sinking and emerging information to a remote river monitoring center through the wireless communication device.
Further, in the course of obtaining the bank stability of the target river, a bank detection device is fixedly installed on the bank of the target river;
the river bank detection device comprises a vibration detection device, a displacement detection device, a timing device, a main control device and a wireless communication device;
the main control device is respectively connected with the vibration detection device, the displacement detection device, the timing device and the wireless communication device;
the vibration detection device is used for detecting whether the vibration generated by the river bank detection device is abnormal or not;
the displacement detection device is used for detecting whether the riparian detection device generates abnormal displacement;
the timing device is used for timing;
the wireless communication device is used for the master control device to communicate with a remote monitoring center network;
wherein the displacement detection device, the timing device and the wireless communication device are turned off, and the vibration detection device is turned on;
when the abnormal vibration generated by the river bank detection device is detected, the displacement detection device is started;
when abnormal displacement of the river bank detection device is detected, the timing device starts timing, and when abnormal displacement of the river bank detection device is detected not to occur, the timing device stops timing;
when the accumulated timing of the timing device reaches an alarm threshold time, the wireless communication device is started;
the main control device communicates and alarms to the remote monitoring center through the wireless communication device: the bank of the target river is abnormally collapsed.
Further, the river bank detection device further comprises a wind power detection device, and the wind power detection device is used for detecting whether wind power borne by the river bank detection device is abnormal or not;
the wind power detection device is turned off;
when the timing device starts timing, the wind power detection device is started;
when detecting that the wind power born by the river bank detection device is abnormal, the main control device communicates and alarms to the remote monitoring center through the wireless communication device: and wind power borne by the river bank detection device is abnormal.
An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor implements the following method by executing the executable instructions:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
A storage medium having stored thereon a computer program which, when executed, performs the method of:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
The invention has the beneficial effects that: the invention comprehensively considers 15 indexes, processes the data of each index through the engineering fuzzy set theory, can better solve the problem of combining the uncertain evaluation factors and the content change thereof, and further more effectively evaluates the health condition of the river.
Drawings
FIG. 1 is a schematic flow chart of the steps of the present invention.
Fig. 2 is a schematic structural diagram of the river bank detection device of the present invention.
Fig. 3 is a schematic view of the working principle of the river bank detection device of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, the river health assessment method includes the steps of:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
The river evaluation indexes in the step S1 comprise river hydrological primary indexes, water environment primary indexes, river morphology primary indexes, river bank strip condition primary indexes and river biology primary indexes, wherein the river hydrological primary indexes specifically comprise hydrological variation values, river cutoff probability, ecological water demand guarantee rate and sand content change rate; the water environment first-level index specifically comprises the water quality standard reaching rate; the first-level indexes of the river form specifically comprise river channel change conditions, river channel bending degree, river bank stability, river bed stability and river bank protection form; the first-level indexes of the band state of the river bank specifically comprise the width of the river bank band, the structural integrity of the river bank and the longitudinal continuity of the river bank; the first-level indexes of the river biology specifically comprise fish species change rate and planktonic algae diversity.
The number of the health grades in the step S1 is 4, and the health grades, the sub-health grades, the disease grades and the deterioration grades are respectively healthy, sub-health grades, ill grades and deteriorated grades; in the health level, the standard characteristic value corresponding to health is 1, the standard characteristic value corresponding to sub-health is 2, the standard characteristic value corresponding to morbidity is 3, and the standard characteristic value corresponding to deterioration is 4.
The method for obtaining the weights of the different evaluation indexes in step S3 includes: according to the formula
Figure 574345DEST_PATH_IMAGE033
Obtaining any samplejAny one of the evaluation indexesiWeight of (2)
Figure DEST_PATH_IMAGE034
(ii) a WhereinWIs any one samplejInkA weight vector of each evaluation index;
Figure 292771DEST_PATH_IMAGE035
mis the total number of samples;
Figure DEST_PATH_IMAGE036
the total number of evaluation indexes of each sample is the same and iskcThe number of health grades;his as followshThe health level of the patient is determined,
Figure 636027DEST_PATH_IMAGE037
Figure DEST_PATH_IMAGE038
for any evaluation indexiAt a health levelhThe standard characteristic value of (1);
Figure 606257DEST_PATH_IMAGE039
is any one samplejMiddle evaluation indexiA characteristic value of (d);
Figure DEST_PATH_IMAGE040
is an intermediate parameter.
Step S4 includes the following substeps:
s4-1, mixing all samples
Figure 351360DEST_PATH_IMAGE006
The evaluation index value is expressed by a matrix
Figure DEST_PATH_IMAGE041
Obtaining an evaluation index value matrixX
Figure DEST_PATH_IMAGE042
S4-2, representing the standard characteristic value corresponding to each evaluation index by the following matrix
Figure 991419DEST_PATH_IMAGE043
Obtaining a standard eigenvalue matrixY(ii) a Wherein
Figure DEST_PATH_IMAGE044
S4-3, judging whether the evaluation index value decreases with the increase of the level, if so, according to the formula
Figure 618710DEST_PATH_IMAGE045
Obtaining any samplejAny one of the evaluation indexesiMembership of corresponding evaluation index value to river health condition
Figure DEST_PATH_IMAGE046
Degree of membership of each evaluation index to the river health
Figure 64735DEST_PATH_IMAGE047
S4-4, judging whether the characteristic standard value decreases along with the increase of the level, if so, according to a formula
Figure DEST_PATH_IMAGE048
Obtaining any evaluation indexiAt any level of healthhDegree of membership of standard characteristic value in (1) to river health
Figure 929923DEST_PATH_IMAGE049
Degree of membership of each standard feature value to river health
Figure DEST_PATH_IMAGE050
(ii) a Otherwise according to the formula:
Figure 724572DEST_PATH_IMAGE051
obtaining any evaluation indexiAt any level of healthhDegree of membership of standard characteristic value in (1) to river health
Figure DEST_PATH_IMAGE052
Degree of membership of each standard feature value to river health
Figure 104738DEST_PATH_IMAGE052
The specific method of step S5 is: according to the formula
Figure 354454DEST_PATH_IMAGE053
Obtaining any samplejRiver health status versus health ratinghRelative degree of membership of
Figure DEST_PATH_IMAGE054
(ii) a Wherein
Figure 74148DEST_PATH_IMAGE055
Is a samplejEvaluation index and health level ofhThe generalized weight distance therebetween;pis a distance parameter, andp=1 orP=2, hamming distance when P is 1, and euclidean distance when P is 2;
Figure DEST_PATH_IMAGE056
is a matrix
Figure 56010DEST_PATH_IMAGE057
Falls into the matrix
Figure DEST_PATH_IMAGE058
Lower health condition limit of (a);
Figure 861155DEST_PATH_IMAGE059
is a matrix
Figure DEST_PATH_IMAGE060
Falls into the matrix
Figure 711300DEST_PATH_IMAGE061
Upper health condition limit of (a);
Figure DEST_PATH_IMAGE062
the specific method of step S6 is: according to the formula
Figure 206872DEST_PATH_IMAGE063
Obtaining a samplejRiver health assessment index of
Figure DEST_PATH_IMAGE064
Obtaining the river health evaluation index of each sample; wherein
Figure 687532DEST_PATH_IMAGE065
Is the transposition of the matrix;
Figure DEST_PATH_IMAGE066
the specific method of step S7 is: and according to the health grade value range where the evaluation index of the river health of each sample is located, evaluating the river reach where the sample is located as the health grade, and finishing the evaluation of the health condition of the river.
Further, river evaluation indexes include hydrological variation values, river cutoff probability, ecological water demand guarantee rate, sand content change rate, water quality standard reaching rate, river channel change condition, river channel bending degree, river bank stability, river bed stability, river bank protection form, river bank bandwidth, river bank structural integrity, river bank longitudinal continuity, fish species change rate and floating algae diversity, and the river bank stability is taken as an example.
Further, in the course of acquiring the bank stability of the target river, a bank ecological monitoring device is configured for the bank of the target river;
the river bank ecological monitoring device comprises a river bank slope monitoring device, a water level monitoring device, a vegetation cover monitoring device, an animal detection device, a main control device and a wireless communication device, wherein the main control device is respectively connected with the river bank slope monitoring device, the water level monitoring device, the vegetation cover monitoring device, the animal detection device and the wireless communication device;
the river bank slope monitoring device is used for monitoring the river bank slope information of the target river in real time;
the water level monitoring device is used for monitoring the river bank water level information of the target river in real time;
the vegetation coverage monitoring device is used for monitoring the river bank vegetation coverage information of the target river in real time;
the animal detection device is used for monitoring the information of the animal submergence and the animal submergence on the river bank of the target river in real time;
and the main control device sends the bank slope information, the bank water level information, the bank vegetation coverage information and the bank animal sinking and emerging information to a remote river monitoring center through the wireless communication device.
Optionally, in the course of obtaining the bank stability of the target river, a bank detection device is further fixedly installed on the bank of the target river, as shown in fig. 2;
the river bank detection device comprises a vibration detection device, a displacement detection device, a timing device, a main control device and a wireless communication device;
the main control device is respectively connected with the vibration detection device, the displacement detection device, the timing device and the wireless communication device;
the vibration detection device is used for detecting whether the vibration generated by the river bank detection device is abnormal or not;
the displacement detection device is used for detecting whether the riparian detection device generates abnormal displacement;
the timing device is used for timing;
the wireless communication device is used for the master control device to communicate with a remote monitoring center network;
as shown in fig. 3, wherein the displacement detecting device, the timing device, the wireless communication device are turned off, and the vibration detecting device is turned on;
when the abnormal vibration generated by the river bank detection device is detected, the displacement detection device is started; the abnormal vibration may be caused by the collapse of the river bank, but there is only a possibility that further judgment is needed, and therefore the displacement detection device is turned on.
When abnormal displacement of the river bank detection device is detected, the timing device starts timing, and when abnormal displacement of the river bank detection device is detected not to occur, the timing device stops timing;
when the abnormal vibration and the abnormal displacement are detected, the river bank can be judged to be abnormal in collapse, if the river bank is slightly collapsed and an accident cannot be caused, the river bank can be processed only by waiting for related workers to perform routing inspection, but if the river bank is seriously collapsed and the accident is possibly caused, the river bank must be immediately alarmed. Therefore, the river bank collapse degree is judged through the collapse accumulated time length.
When the accumulated timing of the timing device reaches an alarm threshold time, the wireless communication device is started;
the main control device communicates and alarms to the remote monitoring center through the wireless communication device: the bank of the target river is abnormally collapsed.
The hardware cost of the vibration detection device, the displacement detection device and the timing device is extremely low, compared with a directly-installed video monitoring device, the cost is greatly saved, and the requirement of video monitoring data on a wireless communication device is extremely high. Therefore, it is preferable to determine the bank stability by a combination of the vibration detection device, the displacement detection device, and the timer device. And only after the current person detects the abnormity, the latter is started, so that the energy is further saved, and meanwhile, the detection accuracy is enhanced.
Further, the river bank detection device further comprises a wind power detection device, and the wind power detection device is used for detecting whether wind power borne by the river bank detection device is abnormal or not;
the wind power detection device is turned off;
when the timing device starts timing, the wind power detection device is started; since the abnormal vibration and abnormal displacement may be caused by the excessive wind force, which causes the abnormal displacement of the river bank detection device, it is necessary to eliminate such a possibility and further ensure the accuracy of determining the river bank collapse.
When detecting that the wind power born by the river bank detection device is abnormal, the main control device communicates and alarms to the remote monitoring center through the wireless communication device: and wind power borne by the river bank detection device is abnormal.
An electronic device is proposed, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor implements the following method by executing the executable instructions:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
A storage medium is proposed, on which a computer program is stored which, when executed, performs the method of:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
In an embodiment of the present invention, a standard for obtaining a standard characteristic value corresponding to each evaluation index according to a value range of the evaluation index value and the health level of the sample is shown in table 1;
table 1: standard characteristic value corresponding table
Figure 714394DEST_PATH_IMAGE067
Obtaining the weight fuzzy vector (any sample) of each evaluation index according to the weight calculation formulajInkThe weight vector of each evaluation index) is:
W= (0.0491、0.0007、0.0098、0.1200、0.0891、0.1123、0.1123、0.0842、0.0561、0.0561、0.0842、0.0000、0.0000、0.1203、0.0396)。
get matrix
Figure DEST_PATH_IMAGE068
Falls into the matrix
Figure 368229DEST_PATH_IMAGE069
Lower limit of health condition
Figure DEST_PATH_IMAGE070
(ii) a Get matrix
Figure 469040DEST_PATH_IMAGE071
Falls into the matrix
Figure DEST_PATH_IMAGE072
Is limited to
Figure 120601DEST_PATH_IMAGE073
. Taking parameters
Figure DEST_PATH_IMAGE074
At this time, the health grade of the river health condition of the river reach is calculated and researched
Figure 697076DEST_PATH_IMAGE075
The relative membership degrees of (A) are 0.1834, 0.345, 0.3156 and 0.156 respectively. Further obtaining:
Figure DEST_PATH_IMAGE076
due to the fact that
Figure 826706DEST_PATH_IMAGE077
The river health is between sub-healthy and sick. If the health condition of the whole river is to be evaluated, the river needs to be divided into a plurality of river sections, and the health condition of the river is obtained by segmentation through evaluating the health condition of each river section individually.
According to the evaluation result of the Minjiang river dry runoff ginger injection hydropower station dehydration river section, the Minjiang river dry runoff ginger injection hydropower station dehydration river section (Minjiang river dry runoff) is between sub-health and morbid state, and the health condition is not optimistic. From specific indexes, the hydrological condition, the riparian zone condition and the aquatic organism index level are all low, the main reason is the dehydration reduction effect in water and electricity development, and certainly, factors such as road construction, over-fishing and the like also have certain influence. For this health level, certain measures must be taken to prevent the situation from further worsening, and the most important measure is to reserve sufficient ecological flow, especially in the dry season. Because the reserved ecological flow can influence the generating benefit of the hydropower station, the current reasonable and feasible method is to establish a river cascade dispatching center and control according to the dynamic ecological flow, so that the basic health of the river can be ensured, and the benefit loss of the hydropower station cannot be overlarge.
In conclusion, the invention comprehensively considers 15 indexes, processes the data of each index through the engineering fuzzy set theory, can better solve the problem of combining the uncertain evaluation factors and the content change thereof, and further more effectively evaluates the health condition of the river.

Claims (10)

1. A river health condition assessment method is characterized in that: the method comprises the following steps:
s1, establishing an evaluation index of river health, and determining the number, value range and corresponding standard characteristic value of the health grade;
s2, obtaining the evaluation index values of all samples of the target river;
s3, obtaining a standard characteristic value corresponding to each evaluation index according to the evaluation index value and the value range of the health grade of the sample, and obtaining the weight of different evaluation indexes;
s4, respectively obtaining the membership degree of each evaluation index value and each standard characteristic value to the river health condition;
s5, acquiring the membership degree of the river health condition of each sample to the health grade according to the weight of different evaluation indexes, each evaluation index value and the membership degree of each standard characteristic value to the river health condition;
s6, calculating the grade characteristic value of the river health condition of each sample to the membership degree of the health grade to obtain the river health evaluation index of the sample;
and S7, evaluating the health condition of the river according to the river health evaluation index of each sample.
2. The river health assessment method according to claim 1, wherein: the river evaluation indexes in the step S1 comprise 15 evaluation indexes including hydrological variation values, river cutoff probability, ecological water demand guarantee rate, sand content change rate, water quality standard reaching rate, river channel change condition, river channel bending degree, river bank stability, river bed stability, river bank protection form, river bank width, river bank structural integrity, river bank longitudinal continuity, fish variety change rate and floating algae diversity;
the number of the health grades in the step S1 is 4, and the health grades, the sub-health grades, the disease grades and the deterioration grades are respectively healthy, sub-healthy, ill-conditioned and deteriorated; in the health level, the standard characteristic value corresponding to health is 1, the standard characteristic value corresponding to sub-health is 2, the standard characteristic value corresponding to morbidity is 3, and the standard characteristic value corresponding to deterioration is 4.
3. The river health assessment method according to claim 2, wherein: the method for obtaining the weights of the different evaluation indexes in step S3 includes:
according to the formula
Figure 3384DEST_PATH_IMAGE001
Obtaining any samplejAny one of the evaluation indexesiWeight of (2)
Figure DEST_PATH_IMAGE002
(ii) a WhereinWIs any one samplejInkA weight vector of each evaluation index;j∈(1,2,…,m),mis the total number of samples;i∈(1,2,…,k) The total number of evaluation indexes of each sample is the same and iskcThe number of health grades;his as followshThe health level of the patient is determined,h∈(1,2,…,c);
Figure 576316DEST_PATH_IMAGE003
for any evaluation indexiAt a health levelhThe standard characteristic value of (1);
Figure DEST_PATH_IMAGE004
is any one samplejMiddle evaluation indexiA characteristic value of (d);
Figure 90474DEST_PATH_IMAGE005
is an intermediate parameter.
4. The river health assessment method according to claim 3, wherein: the step S4 includes the following sub-steps:
s4-1, mixing all samples
Figure DEST_PATH_IMAGE006
The evaluation index value is expressed by a matrix
Figure 282421DEST_PATH_IMAGE007
Obtaining an evaluation index value matrixX
Figure DEST_PATH_IMAGE008
S4-2, representing the standard characteristic value corresponding to each evaluation index by the following matrix
Figure 831214DEST_PATH_IMAGE009
Obtaining a standard eigenvalue matrixY(ii) a Wherein
Figure DEST_PATH_IMAGE010
S4-3, judging whether the evaluation index value decreases with the increase of the level, if so, according to the formula
Figure 325781DEST_PATH_IMAGE011
Obtaining any samplejAny one of the evaluation indexesiMembership of corresponding evaluation index value to river health condition
Figure DEST_PATH_IMAGE012
Degree of membership of each evaluation index to the river health
Figure 327235DEST_PATH_IMAGE012
(ii) a Otherwise according to the formula
Figure 322873DEST_PATH_IMAGE013
Obtaining any samplejAny one of the evaluation indexesiMembership of corresponding evaluation index value to river health condition
Figure 991751DEST_PATH_IMAGE012
Degree of membership of each evaluation index to the river health
Figure 719536DEST_PATH_IMAGE012
S4-4, judging whether the characteristic standard value decreases along with the increase of the level, if so, according to a formula
Figure DEST_PATH_IMAGE014
Obtaining any evaluation indexiAt any level of healthhDegree of membership of standard characteristic value in (1) to river health
Figure 395237DEST_PATH_IMAGE015
Degree of membership of each standard feature value to river health
Figure 132249DEST_PATH_IMAGE015
(ii) a Otherwise according to the formula:
Figure DEST_PATH_IMAGE016
obtaining any evaluation indexiAt any level of healthhDegree of membership of standard characteristic value in (1) to river health
Figure 390055DEST_PATH_IMAGE015
Degree of membership of each standard feature value to river health
Figure 616637DEST_PATH_IMAGE015
5. The river health assessment method according to claim 4, wherein: the specific method of step S5 is as follows:
according to the formula
Figure 592683DEST_PATH_IMAGE017
Obtaining any samplejRiver health status versus health ratinghRelative degree of membership of
Figure DEST_PATH_IMAGE018
(ii) a Wherein
Figure 539910DEST_PATH_IMAGE019
Is a samplejEvaluation index and health level ofhThe generalized weight distance therebetween;pis a distance parameter, andp=1 orP=2;
Figure DEST_PATH_IMAGE020
Is a matrix
Figure 917802DEST_PATH_IMAGE021
Falls into the matrix
Figure DEST_PATH_IMAGE022
Lower health condition limit of (a);
Figure 49706DEST_PATH_IMAGE023
is a matrix of
Figure DEST_PATH_IMAGE024
Figure 513048DEST_PATH_IMAGE025
,…,
Figure DEST_PATH_IMAGE026
) Falls into a matrix (
Figure 524953DEST_PATH_IMAGE027
) Upper health condition limit of (a);
Figure DEST_PATH_IMAGE028
6. the river health assessment method according to claim 5, wherein: the specific method of step S6 is as follows:
according to the formula
Figure 757351DEST_PATH_IMAGE029
Obtaining a samplejRiver health assessment index of
Figure DEST_PATH_IMAGE030
Obtaining the river health evaluation index of each sample; wherein
Figure 325736DEST_PATH_IMAGE031
Is the transposition of the matrix;
Figure DEST_PATH_IMAGE032
7. the river health assessment method according to claim 6, wherein: the specific method of step S7 is as follows:
and according to the health grade value range where the evaluation index of the river health of each sample is located, evaluating the river reach where the sample is located as the health grade, and finishing the evaluation of the health condition of the river.
8. The river health assessment method according to claim 1, wherein: in the process of acquiring the bank stability of the target river, a bank ecological monitoring device is configured aiming at the bank of the target river;
the river bank ecological monitoring device comprises a river bank slope monitoring device, a water level monitoring device, a vegetation cover monitoring device, an animal detection device, a main control device and a wireless communication device, wherein the main control device is respectively connected with the river bank slope monitoring device, the water level monitoring device, the vegetation cover monitoring device, the animal detection device and the wireless communication device;
the river bank slope monitoring device is used for monitoring the river bank slope information of the target river in real time;
the water level monitoring device is used for monitoring the river bank water level information of the target river in real time;
the vegetation coverage monitoring device is used for monitoring the river bank vegetation coverage information of the target river in real time;
the animal detection device is used for monitoring the information of the animal submergence and the animal submergence on the river bank of the target river in real time;
and the main control device sends the bank slope information, the bank water level information, the bank vegetation coverage information and the bank animal sinking and emerging information to a remote river monitoring center through the wireless communication device.
9. The river health assessment method according to claim 1, wherein: in the process of acquiring the stability of the river bank of the target river, a river bank detection device is fixedly arranged on the river bank of the target river;
the river bank detection device comprises a vibration detection device, a displacement detection device, a timing device, a main control device and a wireless communication device;
the main control device is respectively connected with the vibration detection device, the displacement detection device, the timing device and the wireless communication device;
the vibration detection device is used for detecting whether the vibration generated by the river bank detection device is abnormal or not;
the displacement detection device is used for detecting whether the riparian detection device generates abnormal displacement;
the timing device is used for timing;
the wireless communication device is used for the master control device to communicate with a remote monitoring center network;
wherein the displacement detection device, the timing device and the wireless communication device are turned off, and the vibration detection device is turned on;
when the abnormal vibration generated by the river bank detection device is detected, the displacement detection device is started;
when abnormal displacement of the river bank detection device is detected, the timing device starts timing, and when abnormal displacement of the river bank detection device is detected not to occur, the timing device stops timing;
when the accumulated timing of the timing device reaches an alarm threshold time, the wireless communication device is started;
the main control device communicates and alarms to the remote monitoring center through the wireless communication device: the bank of the target river is abnormally collapsed.
10. The river health assessment method according to claim 9, wherein: the river bank detection device also comprises a wind power detection device, and the wind power detection device is used for detecting whether wind power borne by the river bank detection device is abnormal or not;
the wind power detection device is turned off;
when the timing device starts timing, the wind power detection device is started;
when detecting that the wind power born by the river bank detection device is abnormal, the main control device communicates and alarms to the remote monitoring center through the wireless communication device: and wind power borne by the river bank detection device is abnormal.
CN202210282985.6A 2022-03-22 2022-03-22 River health condition assessment method Pending CN114372733A (en)

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