CN110132966A - A kind of cure of Soil pollution spatial position risk evaluating method and system - Google Patents
A kind of cure of Soil pollution spatial position risk evaluating method and system Download PDFInfo
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Abstract
The embodiment of the present invention provides a kind of cure of Soil pollution spatial position risk evaluating method and system, and method includes: to obtain several corresponding distributed images of each sensitive receptors in region to be evaluated；Convolutional calculation is carried out to several distributed images respectively using the default convolution window of reflection pollution spread model and obtains several corresponding first images, and each point all carries corresponding first value-at-risk on every first image；Several first images are standardized respectively to obtain several corresponding second images, and each point all carries corresponding second value-at-risk on every second image；Several the second image merging treatments are obtained into risk evaluation results distribution map, and each point all carries corresponding cure of Soil pollution spatial position value-at-risk on risk evaluation results distribution map.The risk evaluation results distribution map can cure of Soil pollution spatial position value-at-risk in objective reaction region to be evaluated, the space risk comparative analysis of universe can be formed.
Description
Technical field
The present invention relates to environmental evaluation technical field more particularly to a kind of cure of Soil pollution spatial position risk evaluating methods
And system.
Background technique
Soil is non-renewable resources, forms one centimetre of soil and probably needs the centuries to more than one thousand years.Soil pollution has
The features such as cumulative bad, inhomogeneities and long-term existence, pollutant migrates in the soil, spread and dilution rate is extremely slow, soil
Once pollution, will be " as long as the heaven and earth endure ".Mankind's activity is formed by cure of Soil pollution, passes through sewage irrigation, solid waste
Polluter is discharged into soil in the way of, atmospheric sedimentation etc., forms soil pollution.Therefore, the space of cure of Soil pollution
The distribution of position and its surrounding sensitive receptors is the important determinant of its soil risk size.
It is carried out currently, the risk analysis of cure of Soil pollution spatial position mainly assigns point-score according to expert, for sensitive receptors
At a distance from cure of Soil pollution, it is divided into several shelves, assigns different score values.The feature of sensitive receptors mainly includes the size of population, is ploughed
The quantity such as ground, water head site.Current method is primarily present that objectivity is not strong, and the assignment of each index and scoring have stronger profession
Property and subjectivity；In addition, the space risk comparative analysis of universe cannot be formed due to being evaluated single pollution sources,
For pollution sources addressing, spatial configuration optimal etc. lacks reference.
Summary of the invention
The embodiment of the invention provides a kind of soil for overcoming the above problem or at least being partially solved the above problem is dirty
Contaminate source space position risk evaluating method and system.
The embodiment of the invention provides a kind of cure of Soil pollution spatial position risk evaluating methods for first aspect, comprising:
Obtain several corresponding distributed images of each soil pollution sensitive receptors in region to be evaluated；
Convolutional calculation is carried out to several described distributed images respectively using the default convolution window of reflection pollution spread model
Several corresponding first images are obtained, and each point all carries corresponding first value-at-risk on every first image；
Several described first images are standardized respectively to obtain several corresponding second images, and every second
Each point all carries corresponding second value-at-risk on image；
Several described the second image merging treatments are obtained into risk evaluation results distribution map, and the risk evaluation results point
Each point all carries corresponding cure of Soil pollution spatial position value-at-risk on Butut.
On the other hand the embodiment of the invention provides a kind of cure of Soil pollution spatial position Risk Evaluating Systems, comprising:
Distributed image obtains module, for obtaining several corresponding distributions of each soil pollution sensitive receptors in region to be evaluated
Image；
First image collection module, for using reflection pollution spread model default convolution window respectively to it is described several
Distributed image carry out convolutional calculation obtain several corresponding first images, and on every first image each point all carry it is corresponding
First value-at-risk；
Second image collection module is standardized to obtain corresponding more for respectively to several described first images
The second image, and each point all carries corresponding second value-at-risk on every second image；
Risk evaluation results distribution map obtains module, for several described the second image merging treatments to be obtained risk assessment
Distribution of results figure, and each point all carries corresponding cure of Soil pollution spatial position risk on the risk evaluation results distribution map
Value.
The embodiment of the invention provides include processor, communication interface, memory and bus for the third aspect, wherein processing
Device, communication interface, memory complete mutual communication by bus, and processor can call the logical order in memory,
To execute the cure of Soil pollution spatial position risk evaluating method of first aspect offer.
The embodiment of the invention provides a kind of non-transient computer readable storage medium, the non-transient calculating for fourth aspect
Machine readable storage medium storing program for executing stores computer instruction, and the computer instruction makes the computer execute the soil that first aspect provides
Pollution sources spatial position risk evaluating method.
A kind of cure of Soil pollution spatial position risk evaluating method provided in an embodiment of the present invention and system, by to be evaluated
The distributed image of each sensitive receptors successively carries out convolutional calculation, standardization and merging treatment in valence region, obtains to be evaluated
The risk evaluation results distribution map in valence region, the risk evaluation results distribution map are capable of in the reaction region to be evaluated of objective profession
The cure of Soil pollution spatial position value-at-risk of each point, and the danger evaluation result distribution map can be with the wind of the multiple pollution sources of simultaneous reactions
Danger value, can form the space risk comparative analysis of universe, can provide ginseng for the optimization of cure of Soil pollution spatial framework, addressing etc.
It examines.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow chart of cure of Soil pollution spatial position risk evaluating method provided in an embodiment of the present invention；
Fig. 2 is a kind of structural block diagram of earth pollution sources spatial position provided in an embodiment of the present invention Risk Evaluating System；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of flow chart of cure of Soil pollution spatial position risk evaluating method provided in an embodiment of the present invention, such as
Shown in Fig. 1, comprising:
S101 obtains several corresponding distributed images of each soil pollution sensitive receptors in region to be evaluated；
S102 carries out convolution to several described distributed images respectively using the default convolution window of reflection pollution spread model
Several corresponding first images are calculated, and each point all carries corresponding first value-at-risk on every first image；
S103 is standardized several described first images to obtain several corresponding second images respectively, and every
Each point all carries corresponding second value-at-risk on the second image；
Several described the second image merging treatments are obtained risk evaluation results distribution map, and the risk assessment by S104
Each point all carries corresponding cure of Soil pollution spatial position value-at-risk on distribution of results figure.
In S101, sensitive receptors refer to zonule sensitive to cure of Soil pollution in region, such as: farming land, inhabitation
Ground and other important sensitive targets etc..By carrying out certain analysis available comprising specific to original remotely-sensed data
Several distributed images of sensitive receptors, for example, only the distributed image comprising farming land, to the distributed image comprising residence and
It only include the distributed image of other important sensitive targets.S102-S103 is respectively to the image comprising different sensitive receptors
The step of being analyzed.
In S102, convolution window is the matrix that convolutional layer carries out process of convolution to data in convolutional neural networks.Convolution
Window is used to extract the characteristic information in input data.In some sense, convolution window can be understood as to a filter.?
In convolutional neural networks, window sliding, convolution window calculates local data, the data matrix that gradually obtains that treated.After processing
Data matrix remain the Partial Feature of initial data.In the treatment process to image data, the processing of a convolution window
Afterwards data relative to be from a dimension picture as a result, remaining the feature of a dimension of picture.Of the invention real
It applies in example, convolution window is the simulation that transmission diffusion is polluted to cure of Soil pollution, according to the actual conditions of different sensitive receptors, no
Same sensitive receptors can use different convolution windows, can also use identical convolution window.
Distributed image corresponding for a certain sensitive receptors carries out convolutional calculation to it using default convolution window, obtains
Distributed image i.e. the first image after convolutional calculation.Corresponding first value-at-risk that certain point carries on a certain first image, i.e.,
It is that cure of Soil pollution is arranged in this, the value-at-risk that the corresponding specific sensitive receptors of first image are had an impact.
For example, the corresponding sensitive receptors of a certain first image are river, and corresponding first value-at-risk of A point is 100 on the image,
Then cure of Soil pollution is arranged in A point, the value-at-risk to the influence that river generates is 100.
It, cannot be only just for single for the cure of Soil pollution spatial position risk assessment in region to be evaluated in S103
Sensitive receptors, but corresponding first value-at-risk of each point is not in same appraisement system in corresponding first image of different sensitive receptors
Under.To be compared to each other various types of sensitive receptors can, need to be standardized the first image, so that each first width figure
Corresponding first value-at-risk of each point is under same appraisement system as in, it is clear that this is also to merge for multiple images in S104
Premise.
In S104, several second images are to carry out cure of Soil pollution spatial position risk by standardized image
It, need to influence by pollution sources to all sensitive receptors in order to consider all sensitive receptors in region to be evaluated comprehensively when evaluation
Risk integrated.So, cure of Soil pollution spatial position value-at-risk is and combines cure of Soil pollution to treat evaluation region
The value-at-risk that interior all sensitive receptors have an impact.
In the risk evaluation results distribution map for obtaining region to be evaluated, so that it may intuitively quickly obtain each in the region
The value-at-risk of point, to provide reference for the optimization of cure of Soil pollution spatial framework, addressing etc..
It is understood that different cure of Soil pollution spatial position value-at-risks can in risk evaluation results distribution map
To be distinguished with different color or shape, for the more intuitive value-at-risk for quickly obtaining each point in region.
A kind of cure of Soil pollution spatial position risk evaluating method provided in an embodiment of the present invention, by treating evaluation region
The distributed image of interior each sensitive receptors successively carries out convolutional calculation, standardization and merging treatment, obtains region to be evaluated
Risk evaluation results distribution map, which is capable of each point in the reaction region to be evaluated of objective profession
Cure of Soil pollution spatial position value-at-risk, and the danger evaluation result distribution map can with the value-at-risk of the multiple pollution sources of simultaneous reactions,
The space risk comparative analysis of universe can be formed, reference can be provided for the optimization of cure of Soil pollution spatial framework, addressing etc..
In the above-described embodiments, described to obtain several corresponding distributed images of each sensitive receptors in region to be evaluated, specifically
Include:
The original distribution image for obtaining the region to be evaluated, according to the land use classes number in the region to be evaluated
According to several corresponding described distributed images of each sensitive receptors of extraction.
Specifically, land use classes data are the states for reflecting Land Use System and land use features, feature, move
State variation, characteristic distributions and the mankind are to the number such as the development and utilization in soil, rebuilding and improving, administrative protection and land use planning
According to data.According to certain sensitive receptor in the available region to be evaluated of land use classes data, other sensitive receptors are screened out,
And then obtain distributed image only comprising certain sensitive receptor.
In the above-described embodiments, several described distributed images progress convolutional calculation is being obtained respectively using default convolution window
To before several corresponding first images, further includes:
The default convolution window is chosen according to the mode of sensitive receptors influenced by cure of Soil pollution.
Wherein, the default convolution window is the gauss low frequency filter that standard deviation is 1, the default convolution window it is big
It is small to be determined according to the influence distance of cure of Soil pollution and the resolution ratio of the distributed image.
Specifically, soil pollution at present is more clear with the rule of range attenuation, therefore available convolution window may be designed as
One standard deviation is 1.0 gauss low frequency filters.Since the distance of cure of Soil pollution transmission is generally 1-5 kilometers or so,
Convolution window size can be set to 1-5 kilometers.It is available to determine convolution after specifying the resolution ratio of distributed image
The size of the corresponding graphical rule of window.
Accordingly, convolutional calculation is carried out to each distributed image using default convolution window and obtains corresponding first image,
It specifically includes:
The quantity of corresponding sensitive receptors in each point preset range in each distributed image is counted, is obtained every
Corresponding first value-at-risk of each point in one distributed image；
It assigns corresponding first value-at-risk of each point in each distributed image to corresponding each point, obtains corresponding first figure
Picture.
Specifically, the process that corresponding first image is obtained from distributed image is to carry out convolutional calculation to distributed image
Process, convolutional calculation is to calculate the process of every bit corresponding sensitive receptors quantity within a preset range in distributed image.
Assignment is carried out to get to the first image to corresponding each point using the sensitive receptors quantity as the first value-at-risk.
In the above-described embodiments, every one first image is standardized to obtain corresponding second image, it is specific to wrap
It includes:
First value-at-risk of each point in every one first image is normalized, each point in every one first image is obtained
Corresponding second value-at-risk；
It assigns corresponding second value-at-risk of each point in every one first image to corresponding each point, obtains corresponding second figure
Picture.
Specifically, the process that corresponding second image is obtained from the first image is to be standardized meter to the first image
The process of calculation, standardized calculation use method for normalizing, obtain the second value-at-risk of each point.With second risk to corresponding
Each point carries out assignment to get to the second image.
It is in the above-described embodiments, described that several described the second image merging treatments are obtained into risk evaluation results distribution map,
It specifically includes:
Corresponding multiple second value-at-risks of identical point each on several described second images are weighted and averaged to obtain each point
Corresponding cure of Soil pollution spatial position value-at-risk；
Assignment is carried out to each point in the region to be evaluated using each point corresponding cure of Soil pollution spatial position value-at-risk
Obtain the risk evaluation results distribution map.
In the above-described embodiments, it is carried out by corresponding multiple second value-at-risks of identical point each on several described second images
Weighted average obtains before the corresponding cure of Soil pollution spatial position value-at-risk of each point, further includes:
Obtain several the described weights of corresponding sensitive receptors of the second image in merging treatment.
Specifically, weight corresponding for different sensitive receptors, can set according to actual needs.To stress to Mr. Yu
The investigation of one sensitive receptors the sensitive receptors can be arranged in the weight that merging treatment is larger.It is of course also possible to each
Sensitive receptors are using respectively setting.
The technical solution of the embodiment of the present invention is further described below by an example:
Illustrate specific implementation process of the invention by taking Risk Calculation evaluation in cure of Soil pollution spatial position in certain region as an example.
(1) previous year high score remotely-sensed data, the land use classes data for obtaining evaluation region, extract farming land point
The important sensitive target distribution map such as Butut, settlement place distribution map, river distribution map, distribution map spatial resolution is sampled to 100
Rice.
(2) it is based on general image processing software, designs the convolution window of a 31*31, function is that standard deviation is 1.0 high
This low-pass filter.
(3) convolution fortune is carried out to farming land distribution map, settlement place distribution map, river distribution map respectively using the convolution window
It calculates, obtains image (J after convolution1, J2, J3)。
(4) image after sensitive receptors convolution is standardized.To be compared to each other various types sensitive receptors can, to volume
Image is standardized after product, and standardized method can be standard method for normalizing.Such as J1Standardized method beSuccessively obtain b2、b3,.Wherein, b1、b2、b3, for respectively to J1、J2、J3After being standardized
The image arrived；J1It (i) is J1The value-at-risk of i-th of position, J in image1It (min) is J1Minimum risk value in image, J1(max) it is
J1Maximum risk value in image.
(5) weighting forms cure of Soil pollution spatial position risk calculated result distribution map.F=b1/3+b2/3+b3/3。
(6) it chooses that the region is several to be typically related to the enterprise of soil pollution, according to (5) step calculated result, forms this
The value-at-risk figure of a little business locations.
Fig. 2 is a kind of structural block diagram of earth pollution sources spatial position provided in an embodiment of the present invention Risk Evaluating System, such as
Shown in Fig. 2, comprising: distributed image obtain module 201, the first image collection module 202, the second image collection module 203 and
Risk evaluation results distribution map obtains module 204.Wherein:
Distributed image obtains module 201 for obtaining several corresponding points of each soil pollution sensitive receptors in region to be evaluated
Cloth image.First image collection module 202 is used for the default convolution window using reflection pollution spread model respectively to described more
Width distributed image carries out convolutional calculation and obtains several corresponding first images, and each point all carries correspondence on every first image
The first value-at-risk.Second image collection module 203 to several described first images for being standardized to obtain respectively
Several corresponding second images, and each point all carries corresponding second value-at-risk on every second image.Risk evaluation results
Distribution map obtains module 204 and is used to several described the second image merging treatments obtaining risk evaluation results distribution map, and described
Each point all carries corresponding cure of Soil pollution spatial position value-at-risk on risk evaluation results distribution map.
Specifically, distributed image obtains module 201 and is specifically used for:
The original distribution image for obtaining the region to be evaluated, according to the land use classes number in the region to be evaluated
According to several corresponding described distributed images of each sensitive receptors of extraction.
Further, which further includes that default convolution window chooses module, is specifically used for:
The default convolution window is chosen according to the mode of sensitive receptors influenced by cure of Soil pollution.
Further, the first image collection module 202 is specifically used for:
The quantity of corresponding sensitive receptors in each point preset range in each distributed image is counted, is obtained every
Corresponding first value-at-risk of each point in one distributed image；
It assigns corresponding first value-at-risk of each point in each distributed image to corresponding each point, obtains corresponding first figure
Picture.
Further, the second image collection module 203 is specifically used for:
First value-at-risk of each point in every one first image is normalized, each point in every one first image is obtained
Corresponding second value-at-risk；
It assigns corresponding second value-at-risk of each point in every one first image to corresponding each point, obtains corresponding second figure
Picture.
Further, risk evaluation results distribution map obtains module 204 and is specifically used for:
Corresponding multiple second value-at-risks of identical point each on several described second images are weighted and averaged to obtain each point
Corresponding cure of Soil pollution spatial position value-at-risk；
Assignment is carried out to each point in the region to be evaluated using each point corresponding cure of Soil pollution spatial position value-at-risk
Obtain the risk evaluation results distribution map.
A kind of cure of Soil pollution spatial position Risk Evaluating System provided in an embodiment of the present invention, by treating evaluation region
The distributed image of interior each sensitive receptors successively carries out convolutional calculation, standardization and merging treatment, obtains region to be evaluated
Risk evaluation results distribution map, which is capable of each point in the reaction region to be evaluated of objective profession
Cure of Soil pollution spatial position value-at-risk, and the danger evaluation result distribution map can with the value-at-risk of the multiple pollution sources of simultaneous reactions,
The space risk comparative analysis of universe can be formed, reference can be provided for the optimization of cure of Soil pollution spatial framework, addressing etc..
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, electronic equipment packet
It includes: processor (processor) 301, communication interface (Communications Interface) 302, memory (memory)
303 and bus 304, wherein processor 301, communication interface 302, memory 303 complete mutual communication by bus 304.
Processor 301 can call the logical order in memory 303, to execute following method, for example, obtain region to be evaluated
Several corresponding distributed images of interior each soil pollution sensitive receptors；Default convolution window using reflection pollution spread model is distinguished
Convolutional calculation is carried out to several described distributed images and obtains several corresponding first images, and each point is all taken on every first image
With corresponding first value-at-risk；Several described first images are standardized respectively to obtain several corresponding second figures
Picture, and each point all carries corresponding second value-at-risk on every second image；Several described the second image merging treatments are obtained
To risk evaluation results distribution map, and on the risk evaluation results distribution map, each point all carries corresponding cure of Soil pollution sky
Between position value-at-risk.
Logical order in above-mentioned memory 303 can be realized and as independent by way of SFU software functional unit
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, of the invention
Substantially the part of the part that contributes to existing technology or the technical solution can be produced technical solution in other words with software
The form of product embodies, which is stored in a storage medium, including some instructions are used so that one
Platform computer equipment (can be personal computer, server or the network equipment etc.) executes described in each embodiment of the present invention
The all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage
Medium storing computer instruction, the computer instruction make the computer execute side provided by above-mentioned each method embodiment
Method, for example, obtain several corresponding distributed images of each soil pollution sensitive receptors in region to be evaluated；It is polluted using reflection
The default convolution window of propagation model carries out convolutional calculation to several described distributed images respectively and obtains several corresponding first figures
Picture, and each point all carries corresponding first value-at-risk on every first image；Several described first images are marked respectively
Quasi-ization handles to obtain several corresponding second images, and each point all carries corresponding second value-at-risk on every second image；
Several described the second image merging treatments are obtained into risk evaluation results distribution map, and each on the risk evaluation results distribution map
Point all carries corresponding cure of Soil pollution spatial position value-at-risk.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of cure of Soil pollution spatial position risk evaluating method characterized by comprising
Obtain several corresponding distributed images of each soil pollution sensitive receptors in region to be evaluated；
Convolutional calculation is carried out to several described distributed images respectively using the default convolution window of reflection pollution spread model to obtain
Several corresponding first images, and each point all carries corresponding first value-at-risk on every first image；
Several described first images are standardized respectively to obtain several corresponding second images, and every second image
Upper each point all carries corresponding second value-at-risk；
Several described the second image merging treatments are obtained into risk evaluation results distribution map, and the risk evaluation results distribution map
Upper each point all carries corresponding cure of Soil pollution spatial position value-at-risk.
2. cure of Soil pollution spatial position according to claim 1 risk evaluating method, which is characterized in that it is described obtain to
Several corresponding distributed images of each sensitive receptors in evaluation region, specifically include:
The original distribution image for obtaining the region to be evaluated is mentioned according to the land use classes data in the region to be evaluated
Take several corresponding described distributed images of each sensitive receptors.
3. cure of Soil pollution spatial position according to claim 1 risk evaluating method, which is characterized in that default utilizing
Convolution window respectively carries out before convolutional calculation obtains several corresponding first images several described distributed images, further includes:
The default convolution window is chosen according to the mode of sensitive receptors influenced by cure of Soil pollution.
4. cure of Soil pollution spatial position according to claim 3 risk evaluating method, which is characterized in that the default volume
Product window is gauss low frequency filter that standard deviation is 1, and the size of the default convolution window is according to the influence of cure of Soil pollution
Distance and the resolution ratio of the distributed image determine；Accordingly,
Convolutional calculation is carried out to each distributed image using default convolution window and obtains corresponding first image, is specifically included:
The quantity of corresponding sensitive receptors in each point preset range in each distributed image is counted, obtains each point
Corresponding first value-at-risk of each point in cloth image；
It assigns corresponding first value-at-risk of each point in each distributed image to corresponding each point, obtains corresponding first image.
5. cure of Soil pollution spatial position according to claim 1 risk evaluating method, which is characterized in that every one first
Image is standardized to obtain corresponding second image, specifically includes:
First value-at-risk of each point in every one first image is normalized, it is corresponding to obtain each point in every one first image
The second value-at-risk；
It assigns corresponding second value-at-risk of each point in every one first image to corresponding each point, obtains corresponding second image.
6. cure of Soil pollution spatial position according to claim 1 risk evaluating method, which is characterized in that it is described will be described
Several the second image merging treatments obtain risk evaluation results distribution map, specifically include:
Corresponding multiple second value-at-risks of identical point each on several described second images are weighted and averaged to obtain each point correspondence
Cure of Soil pollution spatial position value-at-risk；
Assignment is carried out to each point in the region to be evaluated using the corresponding cure of Soil pollution spatial position value-at-risk of each point to obtain
The risk evaluation results distribution map.
7. cure of Soil pollution spatial position according to claim 6 risk evaluating method, which is characterized in that will be described more
Corresponding multiple second value-at-risks of each identical point are weighted and averaged to obtain the corresponding cure of Soil pollution of each point on the second image
Before the value-at-risk of spatial position, further includes:
Obtain several the described weights of corresponding sensitive receptors of the second image in merging treatment.
8. a kind of cure of Soil pollution spatial position Risk Evaluating System characterized by comprising
Distributed image obtains module, for obtaining several corresponding distribution maps of each soil pollution sensitive receptors in region to be evaluated
Picture；
First image collection module, for the default convolution window using reflection pollution spread model respectively to several described distributions
Image carries out convolutional calculation and obtains several corresponding first images, and each point all carries corresponding first on every first image
Value-at-risk；
Second image collection module, for respectively to several described first images be standardized to obtain it is corresponding several
Two images, and each point all carries corresponding second value-at-risk on every second image；
Risk evaluation results distribution map obtains module, for several described the second image merging treatments to be obtained risk evaluation results
Distribution map, and each point all carries corresponding cure of Soil pollution spatial position value-at-risk on the risk evaluation results distribution map.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes that soil is dirty as described in any one of claim 1 to 7 when executing described program
The step of contaminating source space position risk evaluating method.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The cure of Soil pollution spatial position risk evaluating method as described in any one of claim 1 to 7 is realized when program is executed by processor
The step of.
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