CN109214699A - A kind of water body evaluation method and device - Google Patents
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- 229930002875 chlorophyll Natural products 0.000 description 14
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- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 description 14
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Abstract
The present invention provides a kind of water body evaluation method and device, and the method includes setting evaluation index；Construct water body evaluation model；Obtain the corresponding concentration calculation model of each evaluation index；The ultimate density of each evaluation index is obtained according to concentration calculation model and clustering algorithm；It is water body classification according to the ultimate density of each evaluation index.The overall process that the present invention can have devised water body evaluation by originally proposing water body evaluation model, concentration calculation model, ultimate density computation model and stage division, overall process can be realized automatically, and have preferable grading effect.
Description
Technical field
The present invention relates to environment protection field more particularly to a kind of water body evaluation method and devices.
Background technique
It in Environmental Studies, generally requires to assess the quality of water body, i.e. progress water body classification is different grades of
Water body indicates that the pollution level of water body is different, then correspondingly, the method for the waste water control taken is also different.Further, for
The classified estimation of Water quality understands current water environment and is also of crucial importance for overall merit water pollution.
However, currently, the prior art still lacks effective water pollution appraisal procedure.
Summary of the invention
In order to solve the above technical problem, the present invention provides a kind of water body evaluation method and devices.
The present invention is realized with following technical solution:
A kind of water body evaluation method, which comprises
Set evaluation index ci；
Construct water body evaluation model T；
Obtain the corresponding concentration calculation model of each evaluation index；
The ultimate density of each evaluation index is obtained according to concentration calculation model and clustering algorithm；
It is water body classification according to the ultimate density of each evaluation index.
Further, the building water body evaluation model T includes:
Determine evaluation index subordinated-degree matrix B；
Determine the normalized weight value a of each evaluation indexi；
According to the normalized weight value a of the evaluation index subordinated-degree matrix B and each evaluation indexiObtain water body evaluation
Model T.
Further, each element b in the evaluation index subordinated-degree matrix BijIndicate evaluation index ciFor j-th stage
The degree of membership of water body；Wherein χi(j) when indicating that water body grade is j,
Evaluation index ciThreshold value；χi(j) calculation method are as follows:κijRepresent water body grade as
Evaluation index c when j-th stageiGrade scale value, the grade scale value is according to Water quality standard and every water
Body index determines the influence degree of human health and ecological environment.
Further, the numerical value of the element of each column in water body evaluation model A is equal to subordinated-degree matrix B respective element
Value multiplied by the corresponding normalized weight value of the column.
A kind of water body evaluation device, comprising:
Evaluation index setting module, for setting evaluation index ci；
Water body evaluation model construction module, for constructing water body evaluation model T；
Concentration calculation model obtains module, for obtaining the corresponding concentration calculation model of each evaluation index；
Ultimate density obtains module, for obtaining the final of each evaluation index according to concentration calculation model and clustering algorithm
Concentration；
Diversity module is water body classification for the ultimate density according to each evaluation index.
Further, matrix acquiring unit, for determining evaluation index subordinated-degree matrix B；
Normalization unit, for determining the normalized weight value a of each evaluation indexi；
Model acquiring unit, for being weighed according to the normalization of the evaluation index subordinated-degree matrix B and each evaluation index
Weight values aiObtain water body evaluation model T.
In the description of the invention, it is to be understood that term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower",
The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is
It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description the invention and simplifies description, rather than indicate
Or imply that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore cannot understand
For the limitation to the invention.In addition, term " first ", " second " etc. are used for description purposes only, and should not be understood as indicating
Or it implies relative importance or implicitly indicates the quantity of indicated technical characteristic." first ", " second " etc. are defined as a result,
Feature can explicitly or implicitly include one or more of the features.In the description of the invention, unless separately
It is described, the meaning of " plurality " is two or more.
In the description of the invention, it should be noted that unless otherwise clearly defined and limited, term " peace
Dress ", " connected ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integrally
Connection；It can be mechanical connection, be also possible to be electrically connected；Can be directly connected, can also indirectly connected through an intermediary,
It can be the connection inside two elements.For the ordinary skill in the art, on being understood by concrete condition
State concrete meaning of the term in the invention.
The beneficial effects of the present invention are:
A kind of water body evaluation and device are provided in the present invention, by originally proposing water body evaluation model, concentration
Computation model, ultimate density computation model and stage division have devised the overall process of water body evaluation, and overall process can be certainly
It is dynamic to realize, and have preferable grading effect.
Detailed description of the invention
Fig. 1 is a kind of water body evaluation method flow diagram provided in this embodiment；
Fig. 2 is water body evaluation model building method flow chart provided in this embodiment；
Fig. 3 is a kind of chlorophyll concentration model building method flow chart provided in this embodiment；
Fig. 4 is the acquisition methods flow chart of ultimate density provided in this embodiment；
Fig. 5 is water body stage division flow chart provided in this embodiment；
Fig. 6 is a kind of water body evaluation device block diagram provided in this embodiment；
Fig. 7 is water body evaluation model construction module block diagram provided in this embodiment；
Fig. 8 is that concentration calculation model provided in this embodiment obtains module frame chart；
Fig. 9 is that ultimate density provided in this embodiment obtains module frame chart.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention will be made below further detailed
Description.
The embodiment of the present invention provides a kind of water body evaluation method, as shown in Figure 1, comprising:
S101. evaluation index c is seti。
Specifically, for different waters, evaluation index can carry out different selections, but must include that chlorophyll is dense
Spend and at least two.Common evaluation index includes but is not limited to chlorophyll concentration, total nitrogen concentration, COD, suspension
Object concentration, total phosphorus concentration, five-day BOD, total organic carbon, dissolved oxygen amount etc..
S102. water body evaluation model T is constructed.
S103. the corresponding concentration calculation model of each evaluation index is obtained.
S104. the ultimate density of each evaluation index is obtained according to concentration calculation model and clustering algorithm.
It S105. is water body classification according to the ultimate density of each evaluation index.
Specifically, the building water body evaluation model is as shown in Figure 2, comprising:
S1021. evaluation index subordinated-degree matrix B is determined.
In embodiments of the present invention, each element b in the evaluation index subordinated-degree matrix BijIndicate evaluation index ci
For the degree of membership of j-th stage water body.
Wherein χi(j) when indicating that water body grade is j, evaluation refers to
Mark ciThreshold value.
Specifically, χi(j) calculation method are as follows:κijWater body grade is represented as jth
Evaluation index c when gradeiGrade scale value, the grade scale value is referred to according to Water quality standard and every water body
Mark determines the influence degree of human health and ecological environment.When determining the value can to these index related datas into
Row clustering and sensitivity analysis, which, which determines, uses the prior art, does not repeat them here in the embodiment of the present invention.
S1022. the normalized weight value a of each evaluation index is determinedi。
It is contributed to embody different evaluation index for the difference of water body evaluation, the embodiment of the present invention assigns power using normalization
Its corresponding weighted value is obtained, specific value can carry out self-adapting calibration, can also be taking human as regulation.
S1023. according to the normalized weight value a of the evaluation index subordinated-degree matrix B and each evaluation indexiObtain water
Body evaluation model T.
The numerical value of the element of each column in the embodiment of the present invention in water body evaluation model A is equal to subordinated-degree matrix B phase
Answer the value of element multiplied by the corresponding normalized weight value of the column.
Specifically, for different evaluation indexes, concentration calculation model be can be different, and the embodiment of the present invention provides
A kind of chlorophyll concentration model building method, as shown in Figure 3, comprising:
S1. remote sensing image data is obtained.
S2. exposure mask is carried out to extract water body section to the remote sensing image data.
S3. prepare training data and verify data, the training data is for constructing model, and the verify data is for testing
Model of a syndrome precision；The training data and verify data are recorded in the form of data pair.Numerical value to for band ratio it is green with leaf
The numerical value pair that plain concentration is constituted.
The absorption peak of chlorophyll is generally present near 675nm, and reflection peak is generally present near 700nm, but not
With in water body, the specific location of absorption peak and reflection peak is not to immobilize, but slightly different.If the remote sensing image number
According to for multispectral data, then the band ratio of a certain position are as follows: using the ratio of near infrared band and red wave band as the wave band
Ratio；If the remote sensing image data is high-spectral data, the band ratio of a certain position are as follows: wave band near selection 700nm
The ratio that combination with band ratio near 675nm and chlorophyll concentration correlation maximum is constituted is as the band ratio.Leaf
Green element concentration is then the actual concentrations for the chlorophyll that the practical position measures.
S4. using band ratio as independent variable, model is constructed by dependent variable of chlorophyll concentration, and using training data as data
Acquire each parameter of the model in source.
Specifically, the model can have a multiple selection method, for example, using first order modeling, second-order model, exponential model,
Logarithmic model or power model etc..
S5. the precision of the model is verified using verifying model.
Above-mentioned model can be selected, and finally select precision and reach the model of preassigned as last building result.
The model obtained using building, can count roughly the chlorophyll concentration at some water body different location
It calculates, and obtained concentration is stored together and constitutes concentration samples vector, the embodiment of the present invention further uses clustering algorithm and obtains
To the corresponding ultimate density of concentration samples set.The acquisition methods of the ultimate density are as shown in Figure 4, comprising:
S10. n chlorophyll concentration calculate node P is obtainediThe concentration obtained sequentially in time using concentration calculation model
Sample vector xiConstitute sample set.
S20. the dissimilarity between two sample vectors is calculated, and obtains dissimilarity matrix R={ rij}n*n。
S30. classification ω is initialized.
Specifically, three classifications are initialized in the embodiment of the present invention, for initializing class in other feasible embodiments
Not without limitation.
S40. each sample vector is obtained for the degree of membership of classification.
S50. each sample vector is obtained for the contribution degree of classification.
S60. the cluster result based on the degree of membership and contribution degree expression is exported.
Specifically, the degree of membership is indicated with u, uikIndicate sample vector xiTo classification ωkDegree of membership, the contribution degree
It is indicated with v, vkjIndicate sample vector xjTo classification ωkContribution weight.
Degree of membership is according to formula (one):It calculates, contribution degree is according to formula (two):As it can be seen that being input with sample vector, calculating is iterated according to formula (one) and formula (two),
To obtain each sample vector for the degree of membership and contribution degree of classification.Formula (one) and φ in formula (two) and β be with
The related constant of clustering precision.
S70. ultimate density is calculated according to cluster result.
Specifically, ultimate density θ=∑ δi*θi, wherein δiIt is sample vector xiThe last one element, θiIndicate sample to
Measure xiWeight, the weight is related with cluster result, sample vector x in cluster resultiCloser to cluster centre, weight is bigger.
It, can also be with reference to the chlorophyll concentration structure in the embodiment of the present invention for the concentration calculation model of other evaluation indexes
Established model uses the prior art, and the embodiment of the present invention is without limitation in repeating.Further, after obtaining model
It calculates the corresponding concentration of evaluation index at each position, and then is obtained using the clustering algorithm in the embodiment of the present invention final dense
Degree.
Specifically, the ultimate density according to each evaluation index is that water body classification is as shown in Figure 5, comprising:
S1051. overall merit collection is calculated according to the ultimate density of each evaluation index and water body evaluation model.
S1052. the position where the maximum value concentrated with the overall merit determines water body grade.
Specifically, the ultimate density of each evaluation index constitutes concentration index vector, and concentration index vector is commented with water body
Valence model T-phase is multiplied to be classified the maximum element of mould in numerical value vector vector to classification numerical value vector, and corresponding following table is point
Grade result.
A kind of water body evaluation device of the embodiment of the present invention, as shown in Figure 6, comprising:
Evaluation index setting module 201, for setting evaluation index ci。
Water body evaluation model construction module 202, for constructing water body evaluation model T.
Concentration calculation model obtains module 203, for obtaining the corresponding concentration calculation model of each evaluation index.
Ultimate density obtains module 204, for obtaining each evaluation index according to concentration calculation model and clustering algorithm
Ultimate density.
Diversity module 205 is water body classification for the ultimate density according to each evaluation index.
Water body evaluation model construction module 202 as shown in fig. 7, comprises:
Matrix acquiring unit 2021, for determining evaluation index subordinated-degree matrix B.
Normalization unit 2022, for determining the normalized weight value a of each evaluation indexi。
Model acquiring unit 2023, for the normalizing according to the evaluation index subordinated-degree matrix B and each evaluation index
Change weighted value aiObtain water body evaluation model T.
It is as shown in Figure 8 that concentration calculation model obtains module 203, comprising:
Data capture unit 2031, for obtaining remote sensing image data.
Extraction unit 2032, for carrying out exposure mask to the remote sensing image data to extract water body section.
Data preparation unit 2033, for preparing training data and verify data, the training data is used to construct model,
The verify data is for verifying model accuracy；The training data and verify data are recorded in the form of data pair.Numerical value
To the numerical value pair constituted for band ratio and chlorophyll concentration.
Model generation unit 2034, for constructing model by dependent variable of chlorophyll concentration using band ratio as independent variable,
And each parameter of the model is acquired using training data as data source.
Authentication unit 2035, for verifying the precision of the model using verifying model.
It is as shown in Figure 9 that ultimate density obtains module 204, comprising:
Sample set acquiring unit 2041, for obtaining n chlorophyll concentration calculate node PiIt uses sequentially in time
The concentration samples vector x that concentration calculation model obtainsiConstitute sample set.
Dissimilarity acquiring unit 2042 for calculating the dissimilarity between two sample vectors, and obtains dissmilarity
Property matrix R={ rij}n*n。
Initialization unit 2043, for initializing classification ω.
Degree of membership acquiring unit 2044, for obtaining each sample vector for the degree of membership of classification.
Contribution degree acquiring unit 2045, for obtaining each sample vector for the contribution degree of classification.
Cluster cell 2046, for exporting the cluster result based on the degree of membership and contribution degree expression.
Computing unit 2047, for calculating ultimate density according to cluster result.
In the device of the invention embodiment with embodiment of the method be based in the same manner as inventive concept.
The embodiments of the present invention also provide a kind of storage medium, the storage medium can be used for saving for realizing implementation
The program code for needing to use in example.Optionally, in the present embodiment, above-mentioned storage medium can be located at computer network
At least one network equipment in multiple network equipments.Optionally, in the present embodiment, above-mentioned storage medium may include but not
It is limited to: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access
Memory), the various media that can store program code such as mobile hard disk, magnetic or disk.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed terminal, it can be by another way
It realizes.Wherein, system embodiment described above is only schematical, such as the division of the unit, only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of unit or module,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
It should be understood that the sequencing of the embodiments of the present invention is for illustration only, the excellent of embodiment is not represented
It is bad.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of water body evaluation method, which is characterized in that the described method includes:
Set evaluation index ci；
Construct water body evaluation model T；
Obtain the corresponding concentration calculation model of each evaluation index；
The ultimate density of each evaluation index is obtained according to concentration calculation model and clustering algorithm；
It is water body classification according to the ultimate density of each evaluation index.
2. a kind of water body evaluation method according to claim 1, it is characterised in that:
The building water body evaluation model T includes:
Determine evaluation index subordinated-degree matrix B；
Determine the normalized weight value a of each evaluation indexi；
According to the normalized weight value a of the evaluation index subordinated-degree matrix B and each evaluation indexiObtain water body evaluation model
T。
3. a kind of water body evaluation method according to claim 2, it is characterised in that:
Each element b in the evaluation index subordinated-degree matrix BijIndicate evaluation index ciFor the degree of membership of j-th stage water body；Wherein χi(j) when indicating that water body grade is j, evaluation index ciThreshold
Value；χi(j) calculation method are as follows:κijEvaluation when water body grade is represented as j-th stage
Index ciGrade scale value, the grade scale value is strong for human body according to Water quality standard and every water body index
What health and the influence degree of ecological environment determined.
4. a kind of water body evaluation method according to claim 2, it is characterised in that:
The numerical value of the element of each column in water body evaluation model A is equal to the value of subordinated-degree matrix B respective element multiplied by the column
Corresponding normalized weight value.
5. a kind of water body evaluation device characterized by comprising
Evaluation index setting module, for setting evaluation index ci；
Water body evaluation model construction module, for constructing water body evaluation model T；
Concentration calculation model obtains module, for obtaining the corresponding concentration calculation model of each evaluation index；
Ultimate density obtains module, for obtaining the final dense of each evaluation index according to concentration calculation model and clustering algorithm
Degree；
Diversity module is water body classification for the ultimate density according to each evaluation index.
6. a kind of water body evaluation device according to claim 5, it is characterised in that:
Matrix acquiring unit, for determining evaluation index subordinated-degree matrix B；
Normalization unit, for determining the normalized weight value a of each evaluation indexi；
Model acquiring unit, for the normalized weight value a according to the evaluation index subordinated-degree matrix B and each evaluation indexi
Obtain water body evaluation model T.
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| CN112348866A (en) * | 2019-12-03 | 2021-02-09 | 周建萍 | Water surface floater pollution evaluation system and method based on big data |
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