CN107992708A - It is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods - Google Patents
It is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods Download PDFInfo
- Publication number
- CN107992708A CN107992708A CN201711438612.9A CN201711438612A CN107992708A CN 107992708 A CN107992708 A CN 107992708A CN 201711438612 A CN201711438612 A CN 201711438612A CN 107992708 A CN107992708 A CN 107992708A
- Authority
- CN
- China
- Prior art keywords
- oncomelania
- msub
- moment
- mrow
- locus
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provide it is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods, including：Step 1: survey region is chosen, and using unstructured P2P network division zoning；Step 2: given primary condition and parameter value；Step 3: oncomelania is calculated respectively in tiMoment is to ti‑1The column vector for the spatial position change drifted about and produced by diffusion, convection current, charming appearance and behaviour in the Δ t periods at moment；Step 4: according to the result of calculation of step 3 and oncomelania in t=ti‑1The moment column vector of locus obtains oncomelania in tiMoment locus；Step 5: according to oncomelania in tiMoment locus node dry and wet judges whether to terminate to calculate.The accurate simulation with floating material migration path to oncomelania can be achieved in the present invention, discloses the Transport of oncomelania on a macroscopic scale, the prevention and control for oncomelania spread and snail fever provide Important Theoretic Foundation and data supporting.
Description
Technical field
Spread the disease control and water environment protection field the present invention relates to water, be specifically a kind of nail based on Lagrangian method
Spiral shell is with floating material traveling locus computational methods.
Background technology
Oncomelania is the unique intermediate host of snail fever, and control oncomelania is that control schistosomiasis sprawling most has with current migration
One of approach of effect.The migration pattern of oncomelania has the migration of suspended load form, the migration of bed load form, migrates three with floating material in water
Kind mode, early-stage study show that migration is mainly to be completed with floating material migration to oncomelania at a distance, therefore grasps oncomelania with drift
Float partitioning rule is effective control oncomelania migration and the premise for implementing accurate prevention and control.But since oncomelania is in water body
Diffusion mobility process is more complicated, at present to oncomelania with the research in terms of floating material diffusion mobility mainly based on qualitative description,
How accurately calculating oncomelania, with floating material diffusion mobility, this problem never solves well in water body, therefore is badly in need of exhibition
Open the research with the Method for Accurate Calculation of floating material diffusion mobility process to oncomelania.
Two class of the mathematical method of substance for calculation transition process in environment water substantially Euler's type and Lagrangian type.Euler
Method is conceived to spatial point, and physical quantity is considered as to the function of space coordinate and time, it actually depict the field of a physical quantity.
The convective-diffusion equation moved commonly used to describe material in water body, is the equation established based on Euler's frame.Asking
When solving this class equation, due to, in the inconsistent of convection current and diffusion spatial and temporal scales, during equation is discrete, will draw in equation
Enter numerical error, cause the diffusion and disperse of error.And Lagrangian method directly describes the movement of particle, by describing respectively
With solve particle with stream movement, the physical process such as random motion, then can be to avoid by not same-action spatial and temporal scales difference institute
Caused error.Further, since other particulate matters such as oncomelania and silt are different, it has with the discontinuous spy of spatial and temporal distributions
Property, therefore, the Lagrangian method based on tracking particle movement is particularly suited for oncomelania than the Euler's method based on physical field concept
The calculating of migration path.
Research mainly uses field inspection and investigation at present, regular summary is carried out to observed result, there has been no on nail
Spiral shell is reported with the research of floating material migration path computational methods.
The content of the invention
The present invention provide it is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods, realize to oncomelania
With the accurate simulation of floating material migration path, the Transport of oncomelania on a macroscopic scale is disclosed, is oncomelania spread and blood fluke
The prevention and control of disease provide Important Theoretic Foundation and data supporting.
It is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods, including following steps：
Step 1: survey region is chosen, and using unstructured P2P network division zoning, sizing grid can be according to water
Dynamic condition, meteorological condition and accuracy requirement determine；
Step 2: given primary condition and parameter value：Input simulation period, time interval Δ t, initial time oncomelania
Position coordinates, and the given drag velocity u for simulating each grid node in zoning in the period* i-1, depth of water hi-1, turbulent fluctuation diffusion system
Number ki-1, atmospheric density, water body density information；
Step 3: oncomelania is calculated respectively according to formula (1), (2), (8) in tiMoment is to ti-1The Δ t period internal causes at moment
The column vector for the spatial position change that diffusion, convection current, charming appearance and behaviour are drifted about and produced, time interval Δ t is according to survey region hydrodynamic force
Condition, floating material property and simulation experience give；
Represent oncomelania in ti-1Moment is to tiOncomelania becomes because spreading the defeated locus produced of moving in the Δ t periods at moment
The column vector of change, in formula：Represent oncomelania in ti-1The current time average velocity of locus residing for moment；
It is oncomelania in ti-1Moment is to tiThe row of the spatial position change produced in the Δ t periods at moment by convection current
Vector, in formula：R represent be distributed in section (- 1,1) interior average be 0, the standardized normal distribution random number that variance is 1, kiFor oncomelania
In the turbulence diffusion coefficient at i moment, and ki=β hiui *, wherein β is empirical coefficient, hiFor the depth of water, u* iFor drag velocity；
Oncomelania with floating material during conveying, in the spatial position change that the drift of Δ t period internal causes charming appearance and behaviour produces
Column vectorFor：
In formula： Represent drift thing in t respectivelyiMoment is located on the water surface and immerses water body
In area of section；T is represented respectivelyiThe resistance coefficient of locus air and water body residing for moment floating material；It is illustrated respectively in tiThe density of locus air residing for moment floating material and the density of water；Respectively
Represent in tiLocus residing for moment floating material when equal wind speed, current time average velocity；
Step 4: by the result of calculation of step 3 and oncomelania in t=ti-1The moment column vector of locus brings formula into
(9), you can obtain oncomelania in tiMoment locus Xi；
XiIt is oncomelania in tiMoment locus column vector, Xi-1It is oncomelania in ti-1Moment locus column vector；
Step 5: oncomelania is in tiMoment locus node dry and wet judges：Work as XiWhen place's depth of water is less than critical depth of water, judge
The node is " doing ", then the node is no longer participate in calculating in next step, even the diffusion velocity of oncomelania, convection current at the node
Speed, charming appearance and behaviour drift velocity are zero, and calculating terminates；Work as XiWhen place's depth of water is equal to greatly critical depth of water, return to step three.
Further, critical depth of water is taken as 0.001m described in step 5.
The present invention is on the basis of to the action process of oncomelania and movement mechanism further investigation, by the travel motion of oncomelania point
Solve and float 3 processes for diffusion, convection current, charming appearance and behaviour.Wherein charming appearance and behaviour is drifted in the research of conventional oncomelania and is not considered, the present invention be based on by
Dynamic balance establishes the governing equation of charming appearance and behaviour drift motion, and according to Lagrangian thought, establishes remaining 2 motion process respectively
Mathematical description, and then oncomelania is obtained by linear superposition and migrates computing model with floating material.
Brief description of the drawings
Fig. 1 is flow diagram of the present invention based on the oncomelania of Lagrangian method with floating material traveling locus computational methods；
Fig. 2 is the traveling locus that computational methods proposed by the present invention obtain and the comparison diagram of measured data.
Embodiment
Below in conjunction with the attached drawing in the present invention, the technical solution in the present invention is clearly and completely described.
The procedure decomposition that the present invention transmits oncomelania is diffusion, convection current, charming appearance and behaviour 3 processes of drift, and is established respectively
Its mathematical description：
1st, diffusion term：
When environment liquid is in flow regime, material in company with current particle when move and referred to as spread defeated shifting, oncomelania
During being conveyed with floating material, particle is in ti-1Moment is to tiOncomelania is because spreading the defeated sky for moving generation in the Δ t periods at moment
Between change in location column vectorFor：
In formula：Represent particle in ti-1The current time average velocity of locus residing for moment；
2nd, convective term：
Convention diffusion refers to the transport phenomena produced due to the turbulent fluctuation of water body, and oncomelania is in the process conveyed with floating material
In, particle is in ti-1Moment is to tiThe column vector of the spatial position change produced in the Δ t periods at moment by convection currentFor：
In formula：R represent be distributed in section (- 1,1) interior average be 0, the standardized normal distribution random number that variance is 1, kiFor
Turbulence diffusion coefficient of the particle at the i moment, and ki=β hiui *, wherein β is empirical coefficient, hiFor the depth of water, u* iFor drag velocity；
3rd, charming appearance and behaviour drift term：
Charming appearance and behaviour drift is that the structure being exposed to by floating material in air is subject to conveying caused by wind-force effect, drift thing wind-engaging
Represent as follows with the active force of stream：
In formula：Represent drift thing in t respectivelyiMoment is subject to the active force of wind and stream；Respectively
Represent drift thing in tiMoment is located on the water surface and immerses the area of section in water body；T is represented respectivelyiMoment floats
The resistance coefficient of locus air and water body residing for thing；It is illustrated respectively in tiLocus residing for moment floating material
The density of air and the density of water；It is illustrated respectively in tiLocus residing for moment floating material when
Equal wind speed, current time average velocity, the time average velocity of floating material；
After very short time, suffered external force reaches balance, then can obtain：
The charming appearance and behaviour drift velocity of floating material againIt can be expressed as：
Simultaneous formula (5) and formula (6), it is assumed that using water (flow) direction as positive direction, obtaining charming appearance and behaviour drift velocity is：
In formula：
Therefore, oncomelania becomes during being conveyed with floating material in the locus that the drift of Δ t period internal causes charming appearance and behaviour produces
The column vector of changeFor：
(2) linear superposition diffusion, convection current, charming appearance and behaviour are drifted about 3, obtain oncomelania in tiThe locus at moment is：
In formula：XiIt is oncomelania in tiMoment locus column vector, Xi-1It is oncomelania in ti-1Moment locus row to
Amount.
Fig. 1 is shown the present invention and is illustrated based on the oncomelania of Lagrangian method with the flow of floating material traveling locus computational methods
Figure, this method include following steps：
Step 1: survey region is chosen, and using unstructured P2P network division zoning, sizing grid can be according to water
Dynamic condition, meteorological condition and accuracy requirement determine；
Step 2: given primary condition and parameter value：Input simulation period, time interval Δ t, initial time oncomelania
Position coordinates, and the given drag velocity u for simulating each grid node in zoning in the period* i-1, depth of water hi-1, turbulent fluctuation diffusion system
Number ki-1, atmospheric density, water body density information；
Step 3: oncomelania is calculated respectively according to formula (1), (2), (8) in tiMoment is to ti-1The Δ t period internal causes at moment
The column vector for the spatial position change that diffusion, convection current, charming appearance and behaviour are drifted about and produced, time interval Δ t is according to survey region hydrodynamic force
Condition, floating material property and simulation experience give；
Step 4: by the result of calculation of step 3 and oncomelania in t=ti-1The moment column vector of locus brings formula into
(9), you can obtain oncomelania in tiMoment locus Xi；
Step 5: oncomelania is in tiMoment locus node dry and wet judges：Work as XiPlace's depth of water (can be taken as less than critical depth of water
When 0.001m), it is " doing " to judge the node, then the node is no longer participate in calculating in next step, even positioned at oncomelania at the node
Diffusion velocity, convection velocity, charming appearance and behaviour drift velocity be zero, calculating terminates；Work as XiPlace's depth of water (can be taken as greatly equal to critical depth of water
When 0.001m), return to step three.
To test to the calculating effects of proposition method of the present invention, select to carry out (GPS) field in Yangtze middle reaches
Positioning, which is drifted about, to be tested.The floating material (GPS floating materials) for being equipped with vehicle GPS locating module is launched in above-mentioned waters, is believed by GIS
Platform observation, the Drifting Course of record floating material are ceased, and the oncomelania drift rail that it is calculated with method proposed by the present invention
Mark is contrasted, its effect is as shown in Figure 2.As can be seen from the figure between the actual migration track and modeling track of oncomelania
There are a certain distance deviation, and it is big during deviation when it is small, this is probably due to caused by the randomness of oncomelania convective motion.But
Generally, the distance deviation of two movement locus is relatively small, and the mean error of actual measurement track and analog track range deviation is only
2.1km, and the turning point of analog track and actual measurement track also coincide substantially, it can be seen that, the simulation effect of model is preferable.
The above description is merely a specific embodiment, but protection scope of the present invention is not limited thereto, any
Belong to those skilled in the art the invention discloses technical scope in, the change or replacement that can readily occur in, all should
It is included within the scope of the present invention.
Claims (2)
1. it is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods, it is characterised in that including following step
Suddenly：
Step 1: survey region is chosen, and using unstructured P2P network division zoning, sizing grid can be according to hydrodynamic force
Condition, meteorological condition and accuracy requirement determine；
Step 2: given primary condition and parameter value：Input simulation period, time interval Δ t, the position of initial time oncomelania
Coordinate, and the given drag velocity u for simulating each grid node in zoning in the period* i-1, depth of water hi-1, turbulence diffusion coefficient
ki-1, atmospheric density, water body density information；
Step 3: oncomelania is calculated respectively according to formula (1), (2), (8) in tiMoment is to ti-1The Δ t periods internal cause diffusion at moment,
Convection current, charming appearance and behaviour drift and produce spatial position change column vector, time interval Δ t according to survey region hydrodynamic condition,
Floating material property and simulation experience give；
<mrow>
<msub>
<mi>&Delta;X</mi>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
</msub>
<mo>=</mo>
<msub>
<mover>
<mi>U</mi>
<mo>&OverBar;</mo>
</mover>
<mrow>
<mi>i</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mi>&Delta;</mi>
<mi>t</mi>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
Represent oncomelania in ti-1Moment is to tiOncomelania is because spreading the defeated spatial position change for moving generation in the Δ t periods at moment
Column vector, in formula：Represent oncomelania in ti-1The current time average velocity of locus residing for moment；
<mrow>
<msub>
<mi>&Delta;X</mi>
<msub>
<mi>d</mi>
<mi>i</mi>
</msub>
</msub>
<mo>=</mo>
<mi>R</mi>
<msqrt>
<mrow>
<mn>2</mn>
<msub>
<mi>k</mi>
<mi>i</mi>
</msub>
<mi>&Delta;</mi>
<mi>t</mi>
</mrow>
</msqrt>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
It is oncomelania in ti-1Moment is to tiThe column vector of the spatial position change produced in the Δ t periods at moment by convection current,
In formula：R represent be distributed in section (- 1,1) interior average be 0, the standardized normal distribution random number that variance is 1, kiIt is oncomelania in i
The turbulence diffusion coefficient at quarter, and ki=β hiui *, wherein β is empirical coefficient, hiFor the depth of water, u* iFor drag velocity；
Oncomelania during being conveyed with floating material, Δ t period internal causes charming appearance and behaviour drift produce spatial position change row to
AmountFor：
In formula：Represent drift thing in t respectivelyiMoment is located on the water surface and immerses in water body
Area of section；T is represented respectivelyiThe resistance coefficient of locus air and water body residing for moment floating material；It is illustrated respectively in tiThe density of locus air residing for moment floating material and the density of water；Respectively
Represent in tiLocus residing for moment floating material when equal wind speed, current time average velocity；
Step 4: by the result of calculation of step 3 and oncomelania in t=ti-1The moment column vector of locus brings formula (9) into, i.e.,
Oncomelania be can obtain in tiMoment locus Xi；
<mrow>
<msub>
<mi>X</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<msub>
<mi>X</mi>
<mrow>
<mi>i</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>&Delta;X</mi>
<msub>
<mi>c</mi>
<mi>i</mi>
</msub>
</msub>
<mo>+</mo>
<msub>
<mi>&Delta;X</mi>
<msub>
<mi>d</mi>
<mi>i</mi>
</msub>
</msub>
<mo>+</mo>
<msub>
<mi>&Delta;X</mi>
<mrow>
<msub>
<mi>wdrift</mi>
<mi>i</mi>
</msub>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
XiIt is oncomelania in tiMoment locus column vector, Xi-1It is oncomelania in ti-1Moment locus column vector；
Step 5: oncomelania is in tiMoment locus node dry and wet judges：Work as XiWhen place's depth of water is less than critical depth of water, the section is judged
Point be " doing ", then the node be no longer participate in next step calculate, even at the node diffusion velocity of oncomelania, to flow velocity
Degree, charming appearance and behaviour drift velocity are zero, and calculating terminates；Work as XiWhen place's depth of water is equal to greatly critical depth of water, return to step three.
2. existed as claimed in claim 1 based on the oncomelania of Lagrangian method with floating material traveling locus computational methods, its feature
In：Critical depth of water is taken as 0.001m described in step 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711438612.9A CN107992708B (en) | 2017-12-27 | 2017-12-27 | Lagrange method-based oncomelania following floater migration trajectory calculation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711438612.9A CN107992708B (en) | 2017-12-27 | 2017-12-27 | Lagrange method-based oncomelania following floater migration trajectory calculation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107992708A true CN107992708A (en) | 2018-05-04 |
| CN107992708B CN107992708B (en) | 2021-07-23 |
Family
ID=62041720
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711438612.9A Active CN107992708B (en) | 2017-12-27 | 2017-12-27 | Lagrange method-based oncomelania following floater migration trajectory calculation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107992708B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109357711A (en) * | 2018-11-07 | 2019-02-19 | 江苏省血吸虫病防治研究所 | A kind of device for tracking oncomelania drift orbit |
| CN115983160A (en) * | 2023-02-09 | 2023-04-18 | 溧阳气动创新研究院有限公司 | Lagrange method-based water drop trajectory simulation calculation method |
| CN116114462A (en) * | 2023-03-29 | 2023-05-16 | 河海大学 | Water hyacinth interception, encircling and salvaging integrated device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156817A (en) * | 2011-04-11 | 2011-08-17 | 国家海洋信息中心 | Rapid prediction method for drifting path and diffusion of marine spilled oil |
| US20120158303A1 (en) * | 2009-08-20 | 2012-06-21 | Osaka University | Unmanned drifting substance monitoring buoy, drifting substance monitoring system, and drifting substance monitoring method |
| CN102855403A (en) * | 2012-09-11 | 2013-01-02 | 江苏科技大学 | Numerical simulation method of offshore oil-spill track under deepwater environment and fate of track |
| CN103366227A (en) * | 2013-08-08 | 2013-10-23 | 牟林 | Predication method of maritime searching and rescuing target drifting path |
| TWI440825B (en) * | 2010-06-01 | 2014-06-11 | Chinese Ocean & Underwater Technology Ass | Search area determination system for drifting objects |
| CN105760575A (en) * | 2016-01-17 | 2016-07-13 | 中国海洋大学 | Building method of Bohai sea spilled-oil transporting and extension value forecasting system |
| CN107016458A (en) * | 2017-03-20 | 2017-08-04 | 中国海洋大学 | A kind of seabed oil spilling Forecasting Methodology |
-
2017
- 2017-12-27 CN CN201711438612.9A patent/CN107992708B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120158303A1 (en) * | 2009-08-20 | 2012-06-21 | Osaka University | Unmanned drifting substance monitoring buoy, drifting substance monitoring system, and drifting substance monitoring method |
| TWI440825B (en) * | 2010-06-01 | 2014-06-11 | Chinese Ocean & Underwater Technology Ass | Search area determination system for drifting objects |
| CN102156817A (en) * | 2011-04-11 | 2011-08-17 | 国家海洋信息中心 | Rapid prediction method for drifting path and diffusion of marine spilled oil |
| CN102855403A (en) * | 2012-09-11 | 2013-01-02 | 江苏科技大学 | Numerical simulation method of offshore oil-spill track under deepwater environment and fate of track |
| CN103366227A (en) * | 2013-08-08 | 2013-10-23 | 牟林 | Predication method of maritime searching and rescuing target drifting path |
| CN105760575A (en) * | 2016-01-17 | 2016-07-13 | 中国海洋大学 | Building method of Bohai sea spilled-oil transporting and extension value forecasting system |
| CN107016458A (en) * | 2017-03-20 | 2017-08-04 | 中国海洋大学 | A kind of seabed oil spilling Forecasting Methodology |
Non-Patent Citations (4)
| Title |
|---|
| 郭民权 等: ""平潭近岸海域浮子漂移轨迹及其数值模拟"", 《应用海洋学学报》 * |
| 韩龙喜 等: ""连云港近岸海域污染物输移规律"", 《河海大学学报》 * |
| 黄娟 等: ""渤海溢油三维漂移数值模拟研究"", 《海洋科学》 * |
| 黎新华 等: ""胶州湾前湾围填海工程对其污染物输运影响的模拟研究"", 《海洋环境科学》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109357711A (en) * | 2018-11-07 | 2019-02-19 | 江苏省血吸虫病防治研究所 | A kind of device for tracking oncomelania drift orbit |
| CN115983160A (en) * | 2023-02-09 | 2023-04-18 | 溧阳气动创新研究院有限公司 | Lagrange method-based water drop trajectory simulation calculation method |
| CN116114462A (en) * | 2023-03-29 | 2023-05-16 | 河海大学 | Water hyacinth interception, encircling and salvaging integrated device |
| CN116114462B (en) * | 2023-03-29 | 2024-04-26 | 河海大学 | Water hyacinth interception, encircling and salvaging integrated device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107992708B (en) | 2021-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Omstedt et al. | Modeling the variations of salinity and temperature in the large Gulfs of the Baltic Sea | |
| Balogh et al. | RANS simulation of ABL flow over complex terrains applying an Enhanced k-ε model and wall function formulation: Implementation and comparison for fluent and OpenFOAM | |
| Wiggs et al. | The role of streamline curvature in sand dune dynamics: evidence from field and wind tunnel measurements | |
| Kunz et al. | Simulation of the wind field in Athens using refined boundary conditions | |
| Raimundo et al. | Wind tunnel measurements and numerical simulations of water evaporation in forced convection airflow | |
| Chen et al. | Numerical ship navigation based on weather and ocean simulation | |
| CN107992708A (en) | It is a kind of based on the oncomelania of Lagrangian method with floating material traveling locus computational methods | |
| CN108645413A (en) | The dynamic correcting method of positioning and map building while a kind of mobile robot | |
| Badr et al. | Numerical modelling of flow over stockpiles: Implications on dust emissions | |
| Rasmussen | Some aspects of flow over coastal dunes | |
| CN107451372B (en) | A kind of flood of a mountain area numerical simulation method that kinematic wave is combined with dynamic wave | |
| CN111859748B (en) | Ocean internal wave simulation method based on vertical mixed coordinates | |
| Soulhac et al. | Parametric laws to model urban pollutant dispersion with a street network approach | |
| Comer et al. | Development of high-resolution multi-scale modelling system for simulation of coastal-fluvial urban flooding | |
| Brost et al. | The effect of diffusion on tracer puffs simulated by a regional scale Eulerian model | |
| Gadal et al. | Local wind regime induced by giant linear dunes: comparison of ERA5-land reanalysis with surface measurements | |
| Hollenbeck et al. | Pitch and roll effects of on-board wind measurements using sUAS | |
| Näslund et al. | Numerical modelling of the ice sheet in western Dronning Maud Land, East Antarctica: impacts of present, past and future climates | |
| Morita et al. | Tsunami-induced drift motion and numerical simulation using various models | |
| CN108197422B (en) | A kind of water age measuring method in semiclosed waters | |
| Alfieri et al. | Quantifying trace gas emissions from composite landscapes: A mass-budget approach with aircraft measurements | |
| CN111651872B (en) | Nuclear explosion radioactive contamination prediction method based on gas-solid two-phase flow simulation | |
| KR102026153B1 (en) | The method for numerical simulation of advection-diffusion of blue-green algae using multi-scale model including agent-based model | |
| CN107063195A (en) | A kind of extensive network locating method under water based on recurrence location estimation | |
| Gessese | Algorithms for bed topography reconstruction in geophysical flows |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |