KR101538668B1 - Method and apparatus for tracking oil spills in Ocean - Google Patents

Abstract

The present invention relates to a method and an apparatus for tracking an oil spill in the ocean. The method for tracking an oil spill in the ocean comprises: a step of receiving remote sensing information on an offshore oil spill area from a satellite; a step of receiving offshore and weather information on the offshore oil spill area from the outside; a step of processing the position of the oil spill into virtual particle data from the received remote sensing information; and a step of tracking the oil spill by estimating the movement of the virtual particles using both the received offshore and weather information and a wind speed impact reflection rate in proportion to the wind speed. Therefore, the method can track the moving speed and moving range of the oil spill with high reliability.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for tracking oil spills,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for tracking marine runoff oil, and more particularly, to a method and apparatus for tracking the speed and range of marine runout oil run.

The ship is equipped with an oil tank for storing and supplying fuel because it is propelled by the power of the engine engine. When the ship collides with a reef or collides with another ship, the oil tank is broken, The leak occurs. Such oil spills cause serious problems such as polluting the oceans, destroying marine ecosystems, depleting offshore resources and causing the death of aquaculture fish. In particular, in the case of large vessels and oil tankers, the above problems are more serious .

Therefore, in order to reduce the marine pollution caused by the oil spill, the oil fence is generally installed to suppress the spread of oil, and the oil is decomposed and precipitated by the emulsifier. In order to carry out these measures and to predict the spread of oil, it is necessary to make an early prediction of the oil spill area of the oceans.

For this purpose, limited oil leaking ranges were mainly investigated by vessels and aircraft due to the lack of a system utilizing satellites in predicting the extent of marine oil spill. In addition, there is a problem in that predictions dependent on simple initial oil spill information are made so that prediction of reliable oil spill is difficult, and marine pollution due to oil spillage can not be reduced early.

It is therefore an object of the present invention to provide a method and apparatus for tracking the speed and range of reliable marine runoff movement.

According to the present invention, the above object can be achieved by a method of tracking a marine runoff oil, comprising the steps of: receiving remote exploration information of a marine runoff occurrence area from a satellite; Receiving maritime information and weather information of the marine spillway generation area from outside; Processing the position of the outflow oil into virtual particle data from the received remote sensing information; And tracking the spillage by estimating the movement of the virtual particle using the received sea-water information and weather information and a wind speed influence reflection ratio value linearly proportional to the wind speed .

Wherein the remote sensing information, the maritime information, and the weather information are information received at a first time of the maritime spillover occurrence area, and the step of tracking the outflow is performed based on information received at the first time, And tracking the flow rate and range of movement of the spill oil for 2 hours.

The remote sensing information is at least one of image data and propagation characteristic data obtained from an optical sensor or a microwave sensor.

Wherein the marine information includes at least one of a tide, a velocity and a direction of the tidal current, and a velocity and a direction of the current, and the meteorological information includes information on the wind speed and the wind direction of the spill- .

The virtual particle data processing step may include extracting virtual particles corresponding to the location of the outflow oil from the image data of the remote sensing information; And setting the position coordinates of the extracted virtual particle using a grid cell having a predetermined size based on the spatial resolution of the image data.

The motion estimation of the virtual particle is made based on the following equation:

In this case, Voil is the velocity of virtual particle, Vcurrent is the velocity of current, Vwind is the wind speed, and Q is the wind velocity influence reflection ratio value.

The wind speed influence reflection ratio value may have a value linearly proportional to the wind speed according to the following equation:

Here, Vwind is the wind speed, Q is the wind speed influence reflection ratio value, a is the slope, and b is the intercept.

The outflow-producing area includes a coastal area where a surface current of the outflow-producing area has a large influence on algae.

According to another aspect of the present invention, there is provided a tracking apparatus for a maritime running oil, comprising: a first receiving unit for receiving remote sensing information of a marine outflow generation area from a satellite; A second receiver for receiving the maritime information and the weather information of the maritime spill oil generation area from the outside; A data processing unit for processing the position of the outflow oil into virtual particle data from the received remote sensing information; And an outflow tracking unit for tracking the outflow by estimating the movement of the virtual particles by using the received sea information and weather information and a wind speed influence reflection ratio value linearly proportional to the wind speed, ≪ / RTI >

Wherein the remote sensing information, the resolution information, and the weather information are information received at a first time of the maritime spillage area, and the leakage tracking unit is configured to detect, based on the information received at the first time, And the movement speed and the movement range of the spill oil are tracked.

The remote sensing information includes at least one of image data and propagation characteristic data obtained from an optical sensor or a microwave sensor.

Wherein the marine information includes at least one of a tide, a velocity and a direction of the tidal current, and a velocity and a direction of the current, and the meteorological information includes information on the wind speed and the wind direction of the spill- .

Wherein the data processing unit extracts virtual particles corresponding to the position of the outflow oil from the image data of the remote sensing information and extracts the extracted virtual particles using a grid cell having a predetermined size based on the spatial resolution of the image data. Set the position coordinates.

The outflow-

And performs motion estimation of the virtual particle based on the following equation:

In this case, Voil is the velocity of virtual particle, Vcurrent is the velocity of current, Vwind is the wind speed, and Q is the wind velocity influence reflection ratio value.

The wind speed influence reflection ratio value may have a value linearly proportional to the wind speed according to the following equation:

Here, Vwind is the wind speed, Q is the wind speed influence reflection ratio value, a is the slope, and b is the intercept.

The outflow-producing area includes a coastal area where the surface current of the generation area is largely influenced by algae.

INDUSTRIAL APPLICABILITY As described above, according to the present invention, a method and apparatus for tracking the speed and range of reliable marine running oil movement are provided. In particular, a method and apparatus are provided for tracking the movement range / velocity of a highly reliable offshore oil stream in the event of an outflow in a coastal area where the influence of the algae greatly affects the surface currents.

FIG. 1 shows a schematic flow chart of a marine spillway tracking method according to an embodiment of the present invention,
Figure 2 illustrates an example of data processing in accordance with one embodiment of the present invention,
Figure 3 shows the results of spill tracing according to one embodiment of the present invention,
4 is a schematic control block diagram of a marine spillway tracking device according to an embodiment of the present invention, which performs the method of FIG.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art to which the present invention pertains. The present invention may be embodied in many different forms and is not limited to the embodiments described herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and the same or similar components are denoted by the same reference numerals throughout the specification.

FIG. 1 shows a schematic flow chart of a marine spillway tracking method according to an embodiment of the present invention.

Referring to FIG. 1, the method for tracking marine spillage of the present invention includes the steps of receiving remote sensing information of a marine spillway occurrence area (S100), receiving marine information and weather information of a marine spillway occurrence area A step S300 of processing the position of the outflow oil into the virtual particle data from the remote sensing information S300, and a step S300 of calculating the virtual particle data using the sea-wind information and the weather information and the air- And tracking the effluent by estimating movement (S400).

The step S100 is a step of receiving remote sensing information of a marine spillway occurrence area from the satellite. The remote sensing information includes at least one of image data and propagation characteristic data obtained from an optical sensor or a microwave sensor. The image data obtained from the optical sensor or microwave sensor may be, for example, optical image data obtained from a multi-spectral camera or SAR image data obtained from a synthetic aperture radar (SAR) . ≪ / RTI > Such image data may also include regional location information corresponding to the image data. The propagation characteristic data may include the acquisition time of the data, the radar frequency provided in the satellite, the radar polarization, the radar incident angle, and the back scattering coefficient on the sea surface depending on the incident angle. The remote sensing information is information received at a first time of the marine spillover occurrence area. For example, a predetermined time elapsed from the point where marine spill oil is generated, for example, 10 minutes, 20 minutes, 30 minutes, 40 minutes, 50 minutes, 60 minutes, 2 hours, 3 hours, 4 hours, 5 hours , 6 hours, 7 hours, 8 hours, 9 hours, 10 hours, 20 hours, 30 hours, 40 hours, 50 hours, 60 hours, 70 hours, 80 hours, 90 hours, 100 hours ... And may include information received at a later time.

The step S200 is a step of receiving the maritime information and weather information of the maritime spill oil generation area from the outside. The maritime information and weather information of the marine outflow occurrence area can be received from various routes. For example, the maritime information may be transmitted from each maritime information providing agency, such as Korea Hydrographic and Ocenographic Administration, Can be received. Meteorological information can receive information on wind speed and direction from Korea Meteorological Administration. Such weather information can also receive weather information of the corresponding country from Korea Meteorological Agency corresponding to Korea Meteorological Administration. The weather information can also receive weather information of the desired region to be irradiated from the satellite.

Wherein the maritime information includes at least one of a tide, a velocity and a direction of the tidal current, and a velocity and a direction of the current, and the meteorological information includes information on the wind velocity and the wind direction of the spill- .

As in step S100, the resolution information and the weather information are information received at a first time in the marine spillway generation area. For example, 10 minutes, 20 minutes, 30 minutes, 40 minutes, 50 minutes, 60 minutes, 2 hours, 3 hours, 4 hours, 5 hours, 6 hours, 7 hours, 8 hours, 9 hours, 10 hours, 20 hours, 30 hours, 40 hours, 50 hours, 60 hours, 70 hours, 80 hours, 90 hours, 100 hours ... And may include information received at a later time, which may be arbitrarily set, and may be a time provided by a provider providing each information described above.

The step S300 is a step of processing the position of the outflow oil into virtual particle data from the received remote sensing information. The virtual particle data processing step of step S300 may include extracting virtual particles corresponding to the location of the outflow oil from the image data of the remote sensing information; And setting the position coordinates of the extracted virtual particle using a grid cell having a predetermined size based on the spatial resolution of the image data. This will be described with reference to FIG. 2 shows an example of data processing according to an embodiment of the present invention.

Referring to FIG. 2, the left image data of FIG. 2 shows predetermined outflow image data including an area A of the sea outflow. The image data is image data obtained in step S100, and the location information of the area where the corresponding outflow oil exists may be included as mentioned above. In operation S300, first, virtual particles corresponding to the outflow region A are extracted, and the coordinates of the extracted virtual particles are set using grid cells having a predetermined size based on the spatial resolution of the image data . Accordingly, the range (A ') of the extracted virtual particles corresponding to the outflow region (A) can be processed into data having predetermined position coordinates.

Step S400 is a step of tracking the flow-through by estimating the movement of the virtual particle using the received sea-level information and weather-information and a wind speed influence reflection ratio value linearly proportional to the wind speed. The virtual particle movement estimation in step S400 is a step of tracking the movement speed and the range of the outflow oil at a second time based on the marine information, weather information, and remote sensing information received at the first time. The second time may be, for example, 10 minutes, 20 minutes, 30 minutes, 40 minutes, 50 minutes, 60 minutes, 2 hours, 3 hours, 4 hours, 5 hours, 6 hours, 7 hours , 8 hours, 9 hours, 10 hours, 20 hours, 30 hours, 40 hours, 50 hours, 60 hours, 70 hours, 80 hours, 90 hours, 100 hours ... Or the like. Thus, the present step is to track the speed and extent of movement of the virtual particle through simulation at the second time based on the information collected at the first time.

The virtual particle movement estimation in step S400 is performed based on the following equation (1).

[Equation 1]

Here, Voil is the velocity of virtual particle, Vcurrent is the velocity of current, Vwind is the wind speed, and Q is the wind drift factor . Voil and Vcurrent are the values of vector components having speed and direction as velocity values. Vcurrent can be obtained from the information received from the step S200. Vwind represents the wind speed, and Q represents the wind speed influence reflection ratio value, which is an argument value that determines how much the magnitude of Vwind is reflected. Therefore, the above equation (1) can be obtained by estimating the moving direction and velocity of the virtual particle by reflecting the influence of the wind speed on the velocity of the surface current of the sea area (outflow area) where the virtual particle is located, It is to trace.

In this case, the Q (wind drift factor) has a wide range of 0.01 to 0.06 (Lehr WJ, Simecek-Beatty D (2000). The relation of Langmuir circulation processes to the standard oil spill spreading , and transport algorithms. Spill Sci Technol Bull 6 (3/4): 247-253; Abascal AJ, Castanedo S, Mendez FJ, Medina R, Losada IJ (2009) Calibration of a Lagrangian transport model using drifting buoys deployed during the Prestige Lange P, Huhnerfuss H (1978) Drift response of monomolecular slicks to wave and wind action J Phys Oceanogr 8 (1): 142-150), generally 0.03 Fingas MF (1999). The evaporation rate of the oil spill trajectory and fate modeling is shown in Fig. of oil spills: development and implementation of new prediction methodology. Int. Oil Spill Conf. Proc., 1999 (1): 281-287; IMO (1988) Ma London, England: International Maritime Organization (IMO)).

However, in the present invention, the value Q (the wind speed influence reflection ratio value) uses a value linearly proportional to the wind speed Vwind, as shown in the following equation (2).

&Quot; (2) "

Here, Q is the wind speed influence reflection ratio value, Vwind is the wind speed (wind speed), a is the slope, and b is the intercept.

Particularly, when the value Q (the value of the wind velocity reflection ratio value) of the present invention is linearly proportional to the wind speed, when the reliability is high, the surface current is directly related to the coastal region where the influence of algae is great, .

In order to verify the above, the following experiment was conducted.

Experimental example.

On December 7, 2007, at 7:00 am on the west coast of Taean, we simulated the spread of oil spill on the basis of the oil spill incident on the Hebei Spirit Lake, and then applied it to the satellite data showing the oil spill of Hebei Spirit. The reliability of this simulation was confirmed by calculating the matching rate. The simulation model used in this experiment is a numerical simulation model called Dietrich et al (Dietrich JC, Trahan CJ, Howard MT, Fleming JG, Weaver RJ et al. Mexico. Cont Shelf Res 41: 17-4), and the present technique is not limited thereto and any simulation model that can be used in the field to which this technology belongs can be used.

In this simulation, sea and weather information was received from satellites and National Oceanographic Research Institute, and satellite information is shown in Table 1 below.

satellite KOMPSAT-2 ENVISAT ASAR RADARSAT-1 TerraSAR-X INVISIBLE Acquisition time 2007.12.08 11:04 2007.12.11
10:40 2007.12.11
18:31 December 13, 2007
06:44 December 14, 2007
10:45 Mode (sensor polarization) Multi-Spectral
Camera (MSC) Wide Swath / VV Wide / HH ScanSAR / VV Wide Swath / VV Incidence angle [deg] -19.92
(roll tilt) 31.0-36.3 31-39 31.8 -0.5 19.2-6.7
Swath width [km] 15 405 150 100 405
Normal resolution [m]
(range / azimuth) 4/4 150/150 25/27 18.5 / 18.5 150/150 Wind speed [m / s] 4.8 5.6 6.3 4.3 6.9 Wind direction [degrees] 263.1 338.0 347.0 323.1 339.0

Case 1 performs virtual particle simulation of spill oil from 07:15 on December 7 at the time of the accident to KOMPSAT-2 acquisition time, and Case 2 performs virtual particle simulation of KOMPSAT-2 acquisition time to ENVISAT acquisition time. In Case 3, a virtual particle simulation is performed from the acquisition time of ENVISAT to the acquisition time of ASAR RADARSAT-1, and the case 4 is the time of acquisition of TerraSAR-X from the acquisition time of ASAR RADARSAT- . In Case 5, the simulation was performed from the acquisition time of TerraSAR-X to the acquisition time of ENVISATASAR.

The movement tracking of virtual particles is performed based on Equation (1), Q is performed based on Equation (2), and the equation of Q used in the simulation is Q = 0.487 Vwind + 1.4434, which is exemplary.

The simulation results are shown in the graph of FIG. Referring to FIG. 3, in case 1, 2 and 5, Q (Wind drift factor) is clearly linearly proportional to wind speed (Vwind), and Case 3 and Case 4 show such a tendency The cycle is enough.

As a result of the simulation, the average wind speed and Q (wind speed influence factor, wind drift factor) are shown in Table 2 below.

Simulation Case Average wind speed (m / s) Q Case 1 3.07 0.029 Case 2 1.82 0.023 Case 3 1.22 0.016 Case 4 2.51 0.033 Case 5 6.76 0.046

FIG. 4 is a block diagram of a maritime leakage tracking apparatus 100 according to an embodiment of the present invention. The first receiving unit 110, the second receiving unit 120, the data processing unit 130, ). The marine spill tracer 100 may be any type of electronic device that performs the marine spill tracing method described with reference to Figs. 1 to 3 and may include any type of electronic device, And an electronic device in which a program capable of performing the tracking method is installed.

The program is stored in a computer-readable medium and is read by a computer to perform the functions. The medium may be any of those specifically designed or configured for the present invention or may be known and used by those skilled in the computer software arts. A magnetic recording medium such as a CD, a DVD, a magnetic-optical recording medium that can also serve as both a magnetic recording medium and a magnetic recording medium, a ROM, a RAM, and a flash memory. Memory, or the like, or a hardware device specifically configured to store and execute program instructions by a combination thereof.

In addition, the program may be stored in a server system capable of transmitting information through a communication network such as an intranet or the Internet, and may be transmitted to a computer, as well as being read by a computer by the medium. A computer can access the server system without sending it to a computer and provide a platform on which the program can be executed on the server system.

The first receiving unit 110 receives the remote sensing information of the marine outflow occurrence area from the satellite and corresponds to the step S100 of FIG. 1, and the second receiving unit 120 receives the marine information of the marine outflow occurrence area 1 and corresponds to step S200 of FIG. 1, and the data processing unit 130 processes the position of the outflow oil from the received remote sensing information into virtual particle data, and corresponds to step S300 of FIG. 1, The tracking unit 140 tracks the spillage by estimating the movement of the virtual particle using the received sea-level information and weather-information and the wind speed influence reflection ratio value linearly proportional to the wind speed, Corresponding to step S400. Therefore, redundant description here is omitted.

Although several embodiments of the present invention have been shown and described, those skilled in the art will appreciate that various modifications may be made without departing from the principles and spirit of the invention . The scope of the invention will be determined by the appended claims and their equivalents.

100: Marine spill tracer
110: first receiving section
120: second receiving section
130: Data processing unit
140:

Claims (15)

In a method for tracking a marine spill,
Receiving remote sensing information of a marine spillway occurrence area from a satellite;
Receiving maritime information and weather information of the marine spillway generation area from outside;
Processing the position of the outflow oil into virtual particle data from the received remote sensing information;
And tracking the effluent by estimating the movement of the virtual particle using the received resolution information and the weather information and a wind speed influence reflection ratio value linearly proportional to the wind speed,
The virtual particle data processing step includes:
Extracting virtual particles corresponding to the position of the outflow oil from the image data among the remote sensing information;
And setting the position coordinates of the extracted virtual particle using a grid cell having a predetermined size based on the spatial resolution of the image data. The method according to claim 1,
Wherein the remote sensing information, the resolution information, and the weather information are information received at a first time in the marine spillway generation area,
Wherein the step of tracing the spill tracing step includes tracking the movement speed and the movement range of the spill oil for a second time based on the information received at the first time. 3. The method of claim 2,
Wherein the remote sensing information comprises:
Wherein the image data is image data obtained from an optical sensor or a microwave sensor and propagation characteristic data. The method of claim 3,
Wherein the maritime information includes at least one of a tide, a velocity and a direction of the tide, and a velocity and a direction of the current,
Wherein the meteorological information includes information on a wind velocity and a wind direction of the spilled oil generating area. delete 5. The method of claim 4,
The movement estimation of the virtual particle may be performed by:
Wherein the method is based on the following formula:

Voil: The velocity of virtual particle
Vcurrent: velocity of current
Vwind: wind speed
Q: Wind speed influence reflectance value The method according to claim 6,
Wherein the wind speed influence reflection ratio value has a value linearly proportional to the wind speed according to the following equation:

Vwind: wind speed
Q: Wind speed influence reflectance value
a: slope
b: intercept 8. The method of claim 7,
Wherein the outflow oil-generating region is a coast region in which a surface current of the outflow oil-generating region is largely influenced by algae. A tracking device for a marine spill oil,
A first receiver for receiving remote sensing information of a marine spillway occurrence area from an artificial satellite;
A second receiver for receiving the maritime information and the weather information of the maritime spill oil generation area from the outside;
A data processing unit for processing the position of the outflow oil into virtual particle data from the received remote sensing information;
And an outflow trace unit for tracking the outflow by estimating the movement of the virtual particles using the received sea-level information and weather-information, and a wind speed influence reflection ratio value linearly proportional to the wind speed,
Wherein the data processing unit comprises:
Extracting virtual particles corresponding to the position of the outflow oil from the image data among the remote sensing information,
Wherein the position coordinates of the extracted virtual particle are set using grid cells having a predetermined size based on the spatial resolution of the image data. 10. The method of claim 9,
Wherein the remote sensing information, the resolution information, and the weather information are information received at a first time in the marine spillway generation area,
Wherein the outflow tracing unit tracks the speed and range of movement of the spilled oil at a second time based on the information received at the first time. 11. The method of claim 10,
Wherein the remote sensing information comprises:
Image data and propagation characteristic data obtained from an optical sensor or a microwave sensor,
Wherein the maritime information includes at least one of a tide, a velocity and a direction of the tide, and a velocity and a direction of the current,
Wherein the meteorological information includes information on a wind velocity and a direction of the leaking oil-generating region. delete 12. The method of claim 11,
The outflow-
Wherein the virtual particle movement estimation is performed based on the following equation:

Voil: The velocity of virtual particle
Vcurrent: velocity of current
Vwind: wind speed
Q: Wind speed influence reflectance value 14. The method of claim 13,
The outflow-
Wherein a value linearly proportional to the wind speed is used as the wind speed influence reflection ratio value according to the following formula:

Vwind: wind speed
Q: Wind speed influence reflectance value
a: slope
b: intercept 15. The method of claim 14,
Wherein the outflow oil-generating region is a coast region in which a surface current of the generation region is largely influenced by algae.

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