CN106599396A - 3D model simulation method specific to contaminated site remediation - Google Patents
3D model simulation method specific to contaminated site remediation Download PDFInfo
- Publication number
- CN106599396A CN106599396A CN201611054174.1A CN201611054174A CN106599396A CN 106599396 A CN106599396 A CN 106599396A CN 201611054174 A CN201611054174 A CN 201611054174A CN 106599396 A CN106599396 A CN 106599396A
- Authority
- CN
- China
- Prior art keywords
- data
- sample
- contaminated site
- modeling methods
- soil
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Computer Hardware Design (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Medicinal Chemistry (AREA)
- Geology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Evolutionary Computation (AREA)
- Computer Graphics (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention discloses a 3D model simulation method specific to contaminated site remediation. The method comprises the following steps: 1) determining specific pollutants according to site investigation, and performing distribution of testing sites, sampling and analysis in a suspected contaminated area; 2) combining concentration analysis data of the specific pollutants serving as sample data with a geographic position on a GEO (Geographically referenced) sensor array through a computer data acquisition module to form an integrated data file, and uploading the integrated data file to a database; 3) performing reliability and error analysis on integrated data through analytical calculation in order to perfect data, and interpolating discrete sample point data of the integrated data through a conditional simulation method to form continuous surface data; and 4) forming an interactive 3D view to be output by the continuous surface data in conjunction with a 3D visualization technology in order to form a real-time three-dimensional contamination status map. Through adoption of the 3D model simulation method, an advanced sensing technology, a computer technology, a wireless transmission technology and the like are applied to the soil/underground water remediation industry, and meanwhile the remediation efficiency of an in-situ remediation process is increased.
Description
Technical field
The present invention relates to visualization technique field, it particularly relates to a kind of 3D pattern dies repaired for contaminated site
Plan method.
Background technology
With expanding economy, the fast development of petroleum industry, on petrochemical industry production district, gas station and other places, due to falling
The reasons such as ground oil, oil pipeline seepage and the discharge of oil-containing production waste, cause substantial amounts of petroleum pollution to enter underground layer, cause
Soil and groundwater pollutes.The pollution of oil and its side-product to environment is increasingly severe, has injured the mankind and animals and plants
Existence with health.Because oil and its side-product include the volatile organic matters such as benzene, oil to the pollution main component of environment
In organic hydrocarbon often exist with liquid form, and be insoluble in water, density ratio water is little, therefore is referred to as lightweight non-aqueous phase liquids
（Light Non-aqueous Phase Liquids, LNAPLs）.LNAPLs can under gravity in soil after being leaked by point source
Vertical transfer in earth aeration zone to interface on capillary saturation region starts laterally to sprawl, and is extended down to groundwater level always, final to float
The lenticular body of LNAPLs is formed on groundwater level.
At present, the progress with the Chinese government and environmental worker to underground water pollution, than more typical soil and
Groundwater remediation technology mainly has monitoring natural attenuation recovery technique（MNA technologies）, pump-and-treat system recovery technique（P＆T technologies）With
Based technique for in-situ remediation.P＆T technologies are the earliest soil and groundwater remediation technologies for occurring, will subsoil water take out from original position
Go out, filled back after strange land is repaired again in the position at subsoil water place.But due to the effect of capillary tension, it is trapped in water layer
Non-aqueous solution almost cannot extract out from pump, so being poorly suited for the pollution amelioration of oil and its side-product.And MNA skills
Art relies primarily on itself damping capacity of the physico chemical factor and pollutant of IA and is repaired, therefore is applied to contaminant capacity ratio
The not serious region of less, pollution condition, and for the Polluted areas such as Oil spills are not appropriate for.Based technique for in-situ remediation is mainly
Carry out inside soil and subsoil water, rehabilitation cost is low, effect is good, restorative procedure is varied, to the disturbance of restoring area very
It is low, applied widely, therefore, during following soil and groundwater pollution amelioration, based technique for in-situ remediation will be more and more
Be applied to the actual repair process especially place polluted by oil and its side-product.Based technique for in-situ remediation includes biology in situ
Recovery technique, peripheral doses technology in situ and in-situ chemical recovery technique, although the remediation efficiency of physics in situ and chemical method is very
Height, but which easily causes secondary pollution, and the economical strong, safe green of continuable biology in situ method, to place ring
The technology of any secondary pollution is not caused in border, while the daily operation in place is had little influence on while construction at the scene.But
The premise for using is repairing for the concentration distribution of pollutants to contaminated site, spatial distribution and contaminated site based technique for in-situ remediation
Multiple soil boundary and rehabilitating soil amount have one clearly to recognize, so as to the information such as the injection phase to medicament, injection rate ability
Accurately decision-making is made enough.High-precision data analysiss are the fundamental basis for processing soil and groundwater pollution, so place is repaiied
Multiple top priority is exactly by understanding impact of the pollutant to soil and groundwater in place, completing the composition of Polluted area.
There are both at home and abroad numerous soil ground water regime POLLUTION SIMULATION softwares, but the precision of these simulation softwards
It is also to be discussed with accuracy.The prototype software invented by this patent is to adopt with the hydrological geological conditions of contaminated site and on the spot
Sample analysis result data is foundation, and combined with sensing technology can present the 3D models of real-time soil and lower water environment, so as to allow
Pollution in place is precisely presented in the form of vertical distribution figure.Newest 3D visualization techniques are combined at sensor, digitized
Reason and computer technology can help client only need to cooperate with a unit just can obtain include Sample Data Collection, place
Reason and analyze it is interior and can generate 3 dimensional drawing, the entirety on mobile device can be delivered in real time by network
Service.The combination of 3D models and continuable based technique for in-situ remediation can help owner is carried out with regard to how to control risk and carry out
Site remediation decision-making, so as to design the recovery scenario of most cost performance.
For the problem in correlation technique, effective solution is not yet proposed at present.
The content of the invention
For the above-mentioned technical problem in correlation technique, the present invention proposes a kind of 3D pattern dies repaired for contaminated site
Plan method, for solving above-mentioned technical problem.
To realize above-mentioned technical purpose, the technical scheme is that what is be achieved in that：
A kind of 3D modeling methods repaired for contaminated site, comprise the following steps：
S1 tentatively judges on-site soil and Characteristics of Groundwater pollutant by site investigation, based on Site characteristic in doubtful pollution
Region is layouted, and in different directions soil layer is sampled, and by the attributive analysiss to sample, determines characteristic contamination；
The data for detecting are formed sample data, sample data Jing computer data acquisition module after detecting system detection by S2
Block is combined with the geographical position on GEO sensor arrays, forms integral data files passe to data base；
S3 carries out reliability and error analyses to improve data by analytical calculation to integral data, will be whole by condition simulation method
The discrete sample points for closing data form continuous face data according to interpolated；
Continuous face data are formed interactive 3D views output, i.e. 3D models with reference to 3D visualization techniques by S4.
Further, the described 3D modeling methods for contaminated site reparation include：
3D models are passed through webpage or wireless device and realize sharing with client by S5,3D models are finely adjusted, by final 3D moulds
Type is sent to the mobile device of user.
Based on above-mentioned steps, according to pollutant spatial distribution analog result, the accurate injection position for calculating in-situ immobilization medicament
Put and injection rate, as the guidance of contaminated site in-situ immobilization construction.
Further, step S1 includes：
S11 is investigated by space enrironment, is understood place hydrogeology characteristic and history service condition, is tentatively judged on-site soil
Characteristic contamination；
S12 is layouted using MIP probes and professional judgement and combines lattice method, carries out emphasis doubtful Polluted area in area is studied
Layout；
S13 is sampled to soil layer in the horizontal direction and the vertical direction, is analyzed by sample properties, is determined characteristic contamination.
Further, in step s 12, the doubtful Polluted area is the region for being likely to occur race, emitting, leak or drip.
Further, in step s 2, the data for MIP probes being detected form sample after detecting system detection
Data, sample data Jing computer data acquisition module are combined with the geographical position on GEO sensor arrays, are formed and are integrated number
According to files passe to data base.
Further, in step s3, by condition simulation method by the discrete sample points of integral data according to interpolated
Formed continuous face data have include：
S31 judges whether integral data meets normal distribution, if meeting, into next step；If not meeting, integral data is entered
Row normal transformation；
S32 carries out semivariable function modeling to the integral data for meeting normal distribution；
S33 semivariable functions are fitted by theoretical model, are exceeded so as to obtain a certain pollutant mass fraction of contaminated site
The probability distribution of certain limit, and then obtain spatial distribution of the specific pollutants matter in whole place and pollution level distribution.
Further, in step S31, the formula for carrying out normal transformation is：
；
In formula, X is initial data；Y is the data after conversion；λ is transformation parameter.
Further, in step s 32, semivariable function accumulates stationary hypothesis based on interior, it is assumed that with same distance and side
To the variance of any two points be identical, using the size of statistical correlation coefficient as the function of distance, be expressed as：
；
In formula, h is the space length between two samples；Sample logarithm when N (h) is h for space length；Z(xi) and Z (xi+h)
Respectively regionalized variable is in spatial point xiAnd xiThe sample value at+h places.
Further, in step S33, theoretical model is exponential model, spherical model or Gauss model etc..
Beneficial effects of the present invention：The method that the present invention is combined with based technique for in-situ remediation using 3D models, not only realizes
Advanced sensing technology, computer technology, Radio Transmission Technology etc. be applied to into traditional soil/groundwater remediation industry,
The pollutant that enforcement for based technique for in-situ remediation simultaneously is provided in basic real-time underground environment implement distribution, improve original
Position recovery technique remediation efficiency, according to 3D models can with Precise spraying recovery scenario, including arrangement medicament injection point and note
The amount of penetrating etc., is that user reduces repairing efficiency, improves repairing effect, reduce expenses.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing that needs are used is briefly described, it should be apparent that, drawings in the following description are only some enforcements of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is polluted space distributed model formation basic theory according to embodiments of the present invention；
Fig. 2 is that polluted space distributed model according to embodiments of the present invention forms flow chart；
Fig. 3 is survey region soil sampling scattergram according to embodiments of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, the every other embodiment obtained by those of ordinary skill in the art belong to present invention protection
Scope.
As Figure 1-3, a kind of 3D modeling sides repaired for contaminated site described according to embodiments of the present invention
Method, comprises the following steps：
S1 tentatively judges on-site soil and Characteristics of Groundwater pollutant by site investigation, based on Site characteristic in doubtful pollution
Region is layouted, and in different directions soil layer is sampled, and by the attributive analysiss to sample, determines characteristic contamination；
The data for detecting are passed through detecting system by S2（Such as gas chromatogram）Sample data is formed after detection, sample data is computed
Geography on machine data acquisition module and GEO sensor arrays (GEOGRAPHICALLY REFERENCED SENSOR ARRAY)
Position combines, and forms integral data file and is uploaded to data base by communication line；
S3 carries out reliability and error analyses to improve data by analytical calculation to integral data, will be whole by condition simulation method
The discrete sample points for closing data form continuous face data according to interpolated；
Continuous face data are formed interactive 3D views output, i.e. 3D models with reference to 3D visualization techniques by S4.
Wherein, the described 3D modeling methods repaired for contaminated site, further include：
3D models are passed through webpage or wireless device and realize sharing with client by S5,3D models are finely adjusted, by final 3D moulds
Type is sent to the mobile device of user, and user can carry out the Real-time and Dynamic observation of 3D models on their mobile devices at any time,
Mobile device such as PC or IPad, mobile phone.
Wherein, injection position and the injection of in-situ immobilization medicament according to pollutant spatial distribution analog result, are accurately calculated
Amount, as the guidance of contaminated site in-situ immobilization construction.
Wherein, step S1 is further included：
S11 is investigated by space enrironment, is understood place hydrogeology characteristic and history service condition, is tentatively judged on-site soil
Characteristic contamination；
S12 is layouted using MIP probes and professional judgement and combines lattice method, carries out emphasis doubtful Polluted area in area is studied
Layout；
S13 is sampled to soil layer in the horizontal direction and the vertical direction, is analyzed by sample properties, is determined characteristic contamination.
Wherein, in step s 12, the doubtful Polluted area is the region for being likely to occur race, emitting, leak or drip.
Wherein, in step s 2, the data for MIP probes being detected form sample number after detecting system detection
According to sample data Jing computer data acquisition module is combined with the geographical position on GEO sensor arrays, forms integral data
Files passe is to data base.
Wherein, in step s3, by condition simulation method by the discrete sample points of integral data according to interpolated formation
The data in continuous face have to be included：
S31 judges whether integral data meets normal distribution, if meeting, into next step；If not meeting, integral data is entered
Row normal transformation；
S32 carries out semivariable function modeling to the integral data for meeting normal distribution；
S33 semivariable functions are fitted by theoretical model, are exceeded so as to obtain a certain pollutant mass fraction of contaminated site
The probability distribution of certain limit, and then obtain spatial distribution of the specific pollutants matter in whole place and pollution level distribution.
Wherein, in step S31, the formula for carrying out normal transformation is：
；
In formula, X is initial data；Y is the data after conversion；λ is transformation parameter.
Wherein, in step s 32, semivariable function accumulates stationary hypothesis based on interior, it is assumed that with same distance and direction
The variance of any two points is identical, using the size of statistical correlation coefficient as the function of distance, is expressed as：
；
In formula, h is the space length between two samples；Sample logarithm when N (h) is h for space length；Z(xi ) and Z (xi+ h) point
Not Wei regionalized variable in spatial point xiAnd xiThe sample value at+h places.
Wherein, in step S33, theoretical model is exponential model, spherical model or Gauss model etc..
The present invention combines the hydrological geological conditions in place and carries out site analysis using geographical detection system, so that it is determined that
Pollution type and pollution range.Before repairing construction, 3D is converted into by data analysiss and pollutes figure, so as to provide one three
The overall pollution scattergram of dimension and pollution level scattergram.Based on this 3D model, comprehensive pollution species select to repair
The design of the associated restoration information such as the medicament injection point of medicament and different Polluted area, injection volume.
In actual place appraisal or the work of soil remediation site investigation, generally using radial basis functions
（Radial Basis Function）, normal stabilizing pile（Ordinary Kriging）, inverse distance weighting（Inverse
Distance Weighting）With condition simulation method（Conditional Simulation）, wherein first three belong to space insert
Value method, is, according to the data that continuous face is formed by interpolation, to obtain space of the pollutant in soil by discrete sample points
Distribution, and then place risk assessment and follow-up contaminated sites repair are carried out on this basis.Due to based on discrete sample
The Spatial Interpolation Method of point it is determined that during pollutant spatial distribution, there is certain uncertainty, therefore, for specific contaminated area
Domain, will generally contrast the different interpolation techniques of screening, so as to find the interpolation method that can most reflect practical situation.Three kinds of space interpolations
Technology is had some limitations again, and such as radial basis functions and inverse distance weighting belong to definitiveness interpolation method, it is impossible to
Uncertainty to predicting the outcome is measured, statistical property of the Ordinary Kriging Interpolation rule according to sample data, can be preferably
The Spatial Variability of analog variable, belongs to geo-statistic interpolation model, but can make after the method is smoothed to data
Extreme value information in data is lost, and is unfavorable for the identification of place emphasis Polluted area.Condition simulation method according to Geostatistical be from
The nineties in 20th century grows up, and essence is a kind of new Monte-Carlo methods, not only overcomes normal stabilizing pile
Smoothing effect problem, while uncertainty and probability distribution evaluation can be carried out to predicting the outcome, but which is directly applied and soil
The research that earth contaminated site spatial distribution and pollution range are defined is also relatively fewer.
Condition simulation method is according in different depth soil layer（Top layer, middle level and deep layer）Varying level position sampled point
Sample data after being sampled carries out condition simulation, based on regionalized variable, by semivariable function, to sample data
Unbiased interpolation estimation is carried out, stresses stochastic simulation.
The sampling analyses of different polluters of the present invention by different soil and condition simulation, finally give different pollutions
Real-time 3D model of the material in whole place, so as to the pollution allowed in place is precisely presented in the form of vertical distribution figure.Most
This 3D model system just can form an intelligent data library manager eventually, and the 3D that can provide the user various data and pollutant is empty
Between scattergram, so as to provide foundation for the site investigation and repair capsule of user, and repair capsule determines the layout of injector well, hangs down
It is straight to be distributed, usage amount of the soil sanitation agent in diverse location.
The basis of a whole set of model system is powerful data base, and its function includes relational database, supports the structure of standard
Change language, support open and compatible data base, with extensibility, once new data produce or are sent to main system,
These data will be stored in higher level's project library, and all of data all have filiation.When complete data are collected
After completely, data analysiss will start.The features such as data analysiss have modularity, remove baseline drift, specification sample data,
The data messages of all correlations, including the relevant information such as place, geology and subsoil water are needed during analysis, data result is entered
Row is repeatedly smooth, while carrying out pattern recognition, carries out alternate analyses using external data, once occurring new during analysis
Information or data, user can carry out new analysis at any time by force on the basis of new data.Three-dimensional visualization
Model display function has：Volume data, the transparency of object, coverage machine assisted mapping are shown in the form of " plumage "（CAD）With
GIS-Geographic Information System formatted file, while calculate volume and quality, refer to northern arrow, the preview window, customization selectable color, text
The output of part form is various, such as the expanded images form such as BMP, JPG, TIF.3D analog systemss can also provide high-quality various masters
The animated image of stream format（Such as MPEG, AVI, MOV etc.）, output can according to the demand of user by webpage, CD is read-only deposits
The various forms such as reservoir or digital versatile disc.This vital part of 3D analog systemss be server and end user it
Between interactive demonstration, server exchanged by TCP/IP with user, is carried out real time remote and is manipulated, and user can be in its shifting
Carry out the Real-time and Dynamic observation of 3D models on the interface such as dynamic equipment such as PC or Ipad, mobile phone at any time.
In sum, by means of the above-mentioned technical proposal of the present invention, the present invention adopts 3D models and based technique for in-situ remediation phase
With reference to method, not only realize and advanced sensing technology, computer technology, Radio Transmission Technology etc. be applied to into traditional soil
Earth/groundwater remediation industry, while the enforcement for based technique for in-situ remediation provides the pollution in basic real-time underground environment
Thing implements distribution, improves the remediation efficiency of based technique for in-situ remediation, can be with Precise spraying recovery scenario according to 3D models, including cloth
Injection point and injection volume of medicament etc. are put, is that user reduces repairing efficiency, is improved repairing effect, reduce expenses.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (9)
1. it is a kind of for contaminated site repair 3D modeling methods, it is characterised in that comprise the following steps：
S1 tentatively judges on-site soil and Characteristics of Groundwater pollutant by site investigation, based on Site characteristic in doubtful pollution
Region is layouted, and in different directions the soil layer of different depth is sampled, by the attributive analysiss to sample, it is determined that special
Levy pollutant；
S2 makes the data for detecting form sample data, sample data Jing computer data acquisition module after detecting system detection
Block is combined with the geographical position on GEO sensor arrays, forms integral data files passe to data base；
S3 carries out reliability and error analyses to improve data by analytical calculation to integral data, will be whole by condition simulation method
The discrete sample points for closing data form continuous face data according to interpolated；
Continuous face data are formed interactive 3D views output, i.e. 3D models with reference to 3D visualization techniques by S4.
2. it is according to claim 1 for contaminated site repair 3D modeling methods, it is characterised in that further wrap
Include：
3D models are passed through webpage or wireless device and realize sharing with client by S5,3D models are finely adjusted, by final 3D moulds
Type is sent to the mobile device of user.
3. it is according to claim 2 for contaminated site repair 3D modeling methods, it is characterised in that the step
S1 is further included：
S11 is investigated by space enrironment, is understood place hydrogeology characteristic and history service condition, is tentatively judged on-site soil
And Characteristics of Groundwater pollutant；
S12 is layouted using MIP probes and professional judgement and combines lattice method, carries out emphasis doubtful Polluted area in area is studied
Layout；
S13 is sampled to the soil layer of different depth in the horizontal direction and the vertical direction, is analyzed by sample properties, it is determined that special
Levy pollutant.
4. it is according to claim 3 for contaminated site repair 3D modeling methods, it is characterised in that in step
In S12, the doubtful Polluted area is the region for being likely to occur race, emitting, leak or drip.
5. it is according to claim 4 for contaminated site repair 3D modeling methods, it is characterised in that in step S2
In, the data detected by MIP probes form sample data, sample data Jing computer data after detecting system detection
Acquisition module is combined with the geographical position on GEO sensor arrays, forms integral data files passe to data base.
6. it is according to claim 5 for contaminated site repair 3D modeling methods, it is characterised in that in step S3
In, the discrete sample points of integral data are had into bag according to the interpolated data for forming continuous face by condition simulation method
Include：
S31 judges whether integral data meets normal distribution, if meeting, into next step；If not meeting, integral data is entered
Row normal transformation；
S32 carries out semivariable function modeling to the integral data for meeting normal distribution；
S33 semivariable functions are fitted by theoretical model, are exceeded so as to obtain a certain pollutant mass fraction of contaminated site
The probability distribution of certain limit, and then obtain spatial distribution of the specific pollutants matter in whole place and pollution level distribution.
7. it is according to claim 6 for contaminated site repair 3D modeling methods, it is characterised in that in step
In S31, the formula for carrying out normal transformation is：
；
In formula, X is initial data；Y is the data after conversion；λ is transformation parameter.
8. it is according to claim 7 for contaminated site repair 3D modeling methods, it is characterised in that in step
In S32, semivariable function accumulates stationary hypothesis based on interior, it is assumed that the variance with same distance and any two points in direction is identical
, using the size of statistical correlation coefficient as the function of distance, it is expressed as：
；
In formula, h is the space length between two samples；Sample logarithm when N (h) is h for space length；Z(xi ) and Z (xi+ h) point
Not Wei regionalized variable in spatial point xiAnd xiThe sample value at+h places.
9. it is according to claim 8 for contaminated site repair 3D modeling methods, it is characterised in that in step
In S33, theoretical model is exponential model, spherical model or Gauss model etc..
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611054174.1A CN106599396A (en) | 2016-11-25 | 2016-11-25 | 3D model simulation method specific to contaminated site remediation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611054174.1A CN106599396A (en) | 2016-11-25 | 2016-11-25 | 3D model simulation method specific to contaminated site remediation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106599396A true CN106599396A (en) | 2017-04-26 |
Family
ID=58592014
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611054174.1A Pending CN106599396A (en) | 2016-11-25 | 2016-11-25 | 3D model simulation method specific to contaminated site remediation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106599396A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423843A (en) * | 2017-05-31 | 2017-12-01 | 陈树铭 | Soil repair system and method based on pollutant distribution fine modeling |
| CN108389229A (en) * | 2018-01-31 | 2018-08-10 | 武汉智博创享科技股份有限公司 | A kind of contaminated site restorative procedure and device |
| CN109376209A (en) * | 2018-10-18 | 2019-02-22 | 苏州逸凡特环境修复有限公司 | Contaminated site database 3D model display system |
| US20190303785A1 (en) * | 2018-03-29 | 2019-10-03 | Azimuth1, LLC | Forecasting soil and groundwater contamination migration |
| CN111008920A (en) * | 2019-11-07 | 2020-04-14 | 上海勘察设计研究院(集团)有限公司 | Polluted site investigation method based on groundwater level fluctuation effect |
| CN111521754A (en) * | 2020-04-22 | 2020-08-11 | 中国科学院地理科学与资源研究所 | Preliminary investigation and stationing method for soil pollution in coking enterprise site |
| CN111651432A (en) * | 2020-06-11 | 2020-09-11 | 中科山水(北京)科技信息有限公司 | Suspected contaminated site space-time information identification method |
| CN111760904A (en) * | 2020-06-30 | 2020-10-13 | 台州学院 | Plant database for repairing heavy metal contaminated soil |
| CN112946226A (en) * | 2021-04-02 | 2021-06-11 | 墣锦环境工程（海南）有限公司 | Three-dimensional visual simulation method for soil and underground water pollution |
| CN113377126A (en) * | 2021-05-31 | 2021-09-10 | 湖北君邦环境技术有限责任公司 | Site survey stationing point location generation method, device, equipment and storage medium |
| CN114996977A (en) * | 2022-08-03 | 2022-09-02 | 浙江远算科技有限公司 | Water pollution restoration simulation method and system based on hydrodynamic coupling water quality model |
| CN117196156A (en) * | 2023-10-19 | 2023-12-08 | 北京建工环境修复股份有限公司 | Intelligent planning method, system and medium for pollution in-situ treatment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102636632A (en) * | 2012-04-25 | 2012-08-15 | 上海交通大学 | Method for generating comprehensive evaluation map of heavy metal pollution of polder soil |
| CN105678454A (en) * | 2016-01-04 | 2016-06-15 | 北京师范大学 | Method for determining soil restoration amount of polluted field on the basis of condition simulation |
| CN105678071A (en) * | 2016-01-04 | 2016-06-15 | 北京师范大学 | Hierarchical soil remediation goal setting method based on protection of groundwater |
| CN105911037A (en) * | 2016-04-19 | 2016-08-31 | 湖南科技大学 | Manganese and associated heavy metal distribution prediction method of soil-water interface contaminated flow in manganese mine area |
-
2016
- 2016-11-25 CN CN201611054174.1A patent/CN106599396A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102636632A (en) * | 2012-04-25 | 2012-08-15 | 上海交通大学 | Method for generating comprehensive evaluation map of heavy metal pollution of polder soil |
| CN105678454A (en) * | 2016-01-04 | 2016-06-15 | 北京师范大学 | Method for determining soil restoration amount of polluted field on the basis of condition simulation |
| CN105678071A (en) * | 2016-01-04 | 2016-06-15 | 北京师范大学 | Hierarchical soil remediation goal setting method based on protection of groundwater |
| CN105911037A (en) * | 2016-04-19 | 2016-08-31 | 湖南科技大学 | Manganese and associated heavy metal distribution prediction method of soil-water interface contaminated flow in manganese mine area |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423843A (en) * | 2017-05-31 | 2017-12-01 | 陈树铭 | Soil repair system and method based on pollutant distribution fine modeling |
| CN108389229A (en) * | 2018-01-31 | 2018-08-10 | 武汉智博创享科技股份有限公司 | A kind of contaminated site restorative procedure and device |
| CN108389229B (en) * | 2018-01-31 | 2020-12-04 | 武汉智博创享科技股份有限公司 | Polluted site remediation method and device |
| US20190303785A1 (en) * | 2018-03-29 | 2019-10-03 | Azimuth1, LLC | Forecasting soil and groundwater contamination migration |
| US11631022B2 (en) * | 2018-03-29 | 2023-04-18 | Daybreak, Llc | Forecasting soil and groundwater contamination migration |
| CN109376209B (en) * | 2018-10-18 | 2021-08-17 | 苏州逸凡特环境修复有限公司 | Contaminated site database 3D model display system |
| CN109376209A (en) * | 2018-10-18 | 2019-02-22 | 苏州逸凡特环境修复有限公司 | Contaminated site database 3D model display system |
| CN111008920A (en) * | 2019-11-07 | 2020-04-14 | 上海勘察设计研究院(集团)有限公司 | Polluted site investigation method based on groundwater level fluctuation effect |
| CN111008920B (en) * | 2019-11-07 | 2023-05-16 | 上海勘察设计研究院(集团)有限公司 | Pollution site investigation method based on underground water level fluctuation effect |
| CN111521754A (en) * | 2020-04-22 | 2020-08-11 | 中国科学院地理科学与资源研究所 | Preliminary investigation and stationing method for soil pollution in coking enterprise site |
| CN111521754B (en) * | 2020-04-22 | 2021-04-13 | 中国科学院地理科学与资源研究所 | Preliminary investigation and stationing method for soil pollution in coking enterprise site |
| CN111651432A (en) * | 2020-06-11 | 2020-09-11 | 中科山水(北京)科技信息有限公司 | Suspected contaminated site space-time information identification method |
| CN111651432B (en) * | 2020-06-11 | 2024-04-23 | 中科山水(北京)科技信息有限公司 | Space-time information identification method for suspected contaminated sites |
| CN111760904A (en) * | 2020-06-30 | 2020-10-13 | 台州学院 | Plant database for repairing heavy metal contaminated soil |
| CN112946226A (en) * | 2021-04-02 | 2021-06-11 | 墣锦环境工程（海南）有限公司 | Three-dimensional visual simulation method for soil and underground water pollution |
| CN113377126A (en) * | 2021-05-31 | 2021-09-10 | 湖北君邦环境技术有限责任公司 | Site survey stationing point location generation method, device, equipment and storage medium |
| CN114996977A (en) * | 2022-08-03 | 2022-09-02 | 浙江远算科技有限公司 | Water pollution restoration simulation method and system based on hydrodynamic coupling water quality model |
| CN114996977B (en) * | 2022-08-03 | 2022-11-04 | 浙江远算科技有限公司 | Water pollution restoration simulation method and system based on hydrodynamic coupling water quality model |
| CN117196156A (en) * | 2023-10-19 | 2023-12-08 | 北京建工环境修复股份有限公司 | Intelligent planning method, system and medium for pollution in-situ treatment |
| CN117196156B (en) * | 2023-10-19 | 2024-02-06 | 北京建工环境修复股份有限公司 | Intelligent planning method, system and medium for pollution in-situ treatment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106599396A (en) | 3D model simulation method specific to contaminated site remediation | |
| McMaster | Effects of digital elevation model resolution on derived stream network positions | |
| Engel et al. | The role of geographical information systems in groundwater engineering | |
| Bauer et al. | Quantification of groundwater contamination in an urban area using integral pumping tests | |
| Alberti et al. | Null-space Monte Carlo particle tracking to assess groundwater PCE (Tetrachloroethene) diffuse pollution in north-eastern Milan functional urban area | |
| Anderson | Cenozoic stratigraphy and geologic history of the Tucson Basin, Pima County, Arizona | |
| Bonomi | Database development and 3D modeling of textural variations in heterogeneous, unconsolidated aquifer media: application to the Milan plain | |
| Mattern et al. | Estimating travel time of recharge water through a deep vadose zone using a transfer function model | |
| CN114861502A (en) | Safe drinking water area determination method based on three-dimensional dynamic groundwater pollution simulation of Modflow model | |
| Kumar | Groundwater data requirement and analysis | |
| Kumar et al. | Concepts and modeling of groundwater system | |
| Berehanu et al. | Inter-basin groundwater transfer and multiple approach recharge estimation of the upper awash aquifer system | |
| Omar et al. | Conceptualization and development of multi-layered groundwater model in transient condition | |
| Igboekwe et al. | Application of geographic information system (GIS) in mapping groundwater quality in Uyo, Nigeria | |
| Ducci et al. | Groundwater mass balance in urbanized areas estimated by a groundwater flow model based on a 3D hydrostratigraphical model: the case study of the eastern plain of Naples (Italy) | |
| Liu et al. | Assessment of terrain factors on the pattern and extent of soil contamination surrounding a chemical industry in Chongqing, Southwest China | |
| Popescu et al. | The APSÛ method for process-based groundwater vulnerability assessment | |
| Pannecoucke et al. | Impact of spatial variability in hydraulic parameters on plume migration within unsaturated surficial formations | |
| Rahman et al. | Multiple-tracers-aided surface-subsurface hydrological modeling for detailed characterization of regional catchment water dynamics in Kumamoto area, southern Japan | |
| Oostrom et al. | Behavior of a viscous LNAPL under variable water table conditions | |
| Le Coz et al. | Modeling increased groundwater recharge due to change from rainfed to irrigated cropping in a semiarid region | |
| Frollini et al. | Free LNAPL volume estimation by pancake model and vertical equilibrium model: Comparison of results, limitations, and critical points | |
| Waldowski et al. | Estimating Groundwater Recharge in Fully Integrated pde‐Based Hydrological Models | |
| César et al. | Simulation of spatial and temporal trends in nitrate concentrations at the regional scale in the Upper Dyle basin, Belgium | |
| Reilly | A conceptual framework for ground-water solute-transport studies with emphasis on physical mechanisms of solute movement |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Li Xiaoyun Inventor after: Gao Tao Inventor after: Xia Yu Inventor before: Li Nan Inventor before: Cui Junjun Inventor before: Liu Dehui |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20171123 Address after: 102200 Beijing city Changping District Xiaotangshan future technology city green Central Plaza 13 floor 907 Applicant after: BEIJING VICTEX ENVIRONMENTAL S & T DEVELOPMENT CO., LTD. Address before: 100176 Rong Hua South Road, No. 10, Rong Hua, Beijing Yanqing County Economic and Technological Development Zone, No. 5 Building No. 502 Applicant before: Beijng Jiayejiajing Environmental Protection Technology Co.,Ltd. |
|
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170426 |