CN115186203A - Coral ecology visualization analysis method, system, equipment, medium and terminal - Google Patents
Coral ecology visualization analysis method, system, equipment, medium and terminal Download PDFInfo
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Abstract
The invention belongs to the technical field of coral ecological safety monitoring, and discloses a coral ecological visual analysis method, a coral ecological visual analysis system, coral ecological visual analysis equipment, coral ecological visual analysis media and coral ecological visual analysis terminals, which comprise the following steps: acquiring an OISST annual average global sea surface temperature data file; setting analysis parameters; acquiring a time table required by calculation; reading data from the data file in batches based on the analysis parameters; obtaining sea surface temperature, and calculating sea surface temperature, nino3.4 index, monthly average maximum value, coral albino temperature line, hot spot, rising flow index and DHW index of the sea area; and drawing a coral ecological visual image based on the calculated data, and storing. The coral ecological visualization analysis method provided by the invention can be used for performing visualization batch processing on remote sensing data through a numerical mode, and can be used for performing long-term coral ecological safety prediction.
Description
Technical Field
The invention belongs to the technical field of coral ecological safety monitoring, and particularly relates to a coral ecological visual analysis method, system, equipment, medium and terminal.
Background
Currently, marine early warning products in the current industry mainly focus on evaluating, predicting and calculating disaster areas of extreme climate disasters such as typhoons by using a numerical mode. The marine ecosystem has certain adjustability, but is easy to unbalance in the rapid climate change stage, but the ecosystem is limited by multiple factors and has certain difficulty in data coupling.
Through the above analysis, the problems and defects of the prior art are as follows: the existing ecological system can not realize safety forecast aiming at coral; meanwhile, the existing ecological monitoring related technology has certain difficulties in parameter coupling, such as non-uniform judgment standard of coral survival conditions, complex judgment standard, difficult acquisition of required data, insufficient intuition of analysis results and the like.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a coral ecology visualization analysis method, a coral ecology visualization analysis system, coral ecology visualization analysis equipment, coral ecology visualization analysis media and coral ecology visualization analysis terminals.
The invention is realized in this way, a coral ecology visual analysis method, which comprises the following steps:
firstly, selectively calculating sea area parameters in a certain rectangular area and a certain time range based on the acquired data;
secondly, performing visualization processing on the sea area parameters obtained by calculation; and storing and outputting the calculated sea area parameters and the image obtained by visualization processing.
Further, the sea area parameters include: sea surface temperature of sea area, nino3.4 index, monthly mean maximum, coral albino temperature line, hot spot, upwelling index, and DHW index.
Further, the coral ecological visualization analysis method comprises the following steps:
acquiring an OISST annual average global sea surface temperature data file; setting and extracting analysis parameters;
step two, calculating a time table required by a later step according to a date sequence value attached to the OISST multi-year daily average global sea surface temperature data file (specifically, acquiring a starting timing time point from the file, converting the starting timing time point into a date sequence value, adding the date sequence value to the date sequence value carried by the file to obtain a real date sequence value, and then distributing and classifying the file monthly); reading data from the data file in batches based on the analysis parameters;
step three, calculating a Nino3.4 index (specifically, the Nino3 index and the Nino4 index are obtained by weighting sea surface temperature distance average values of two regions) by using the global sea surface temperature obtained from the data file in the step one and calculating a sea surface temperature monthly average value according to the sea surface temperature data classified monthly; calculating a maximum value in the sea surface temperature monthly average based on the sea surface temperature monthly average;
step four, calculating a coral thermal whitening temperature line (defined as one degree centigrade above the sea surface temperature monthly mean maximum value) based on the maximum value in the sea surface temperature monthly mean; obtaining the minimum monthly average value of the sea surface temperature according to the monthly average value of the sea surface temperature;
step five, calculating a cold whitening index (defined as the next centigrade of the minimum monthly mean value of the sea surface temperature) according to the minimum monthly mean value of the sea surface temperature; calculating a hot point and a cold point (the temperature of the daily sea surface is higher than the hot whitening temperature line as the hot point, and the temperature is lower than the cold whitening temperature line as the cold point); calculate the whole-time DHW (index of sea surface temperature above hot spot in the first seven weeks of the day); and obtaining the rising flow index (the difference of the average temperatures of the two designated areas);
and step six, drawing a coral ecological visual image based on the data obtained by calculation in the step three to the step five, and storing the coral ecological visual image.
Further, in the first step, analyzing the parameters includes: the data volume, region range, and nino3.4 index define the range.
Further, the amount of data is the start time and the end time of the analysis data.
Further, in the sixth step, the drawing of the coral ecological visualization image includes:
firstly, determining an x-axis and coordinate scales; calculating the monthly average in batches based on the data of forty years and arranging the monthly average into a two-dimensional matrix;
and secondly, intercepting data, drawing to obtain various pictures containing eight years of data, and performing visualization processing to obtain a coral ecological visualization image.
Another object of the present invention is to provide a coral ecology visualization analysis system for implementing the coral ecology visualization analysis method, the coral ecology visualization analysis system including:
the data acquisition module is used for acquiring an OISST annual average global sea surface temperature data file;
the parameter calculation module is used for setting analysis parameters;
the data reading module is used for acquiring a time schedule required by calculation; reading data from the data file in batches based on the analysis parameters;
the parameter calculation module is used for calculating sea surface temperature, nino3.4 index, monthly mean maximum value, coral whitening temperature line, hot spot, upflow index and DHW index of the sea area;
a visualized image generation module for generating a visualized image based on the calculated parameters;
and the storage display module is used for storing and displaying the calculated data and the generated visual image.
It is a further object of the present invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the coral ecology visualization analysis method.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the coral ecology visualization analysis method.
The invention also aims to provide an information data processing terminal which is used for realizing the coral ecology visualization analysis system.
In combination with the technical solutions and the technical problems to be solved, please analyze the advantages and positive effects of the technical solutions to be protected in the present invention from the following aspects:
first, aiming at the technical problems existing in the prior art and the difficulty in solving the problems, the technical problems to be solved by the technical scheme of the present invention are closely combined with results, data and the like in the research and development process, and some creative technical effects are brought after the problems are solved. The specific description is as follows:
the invention can calculate and obtain a time list, sea surface temperature, nino3.4 index, monthly average maximum value, coral albino temperature line, hot spot, rising flow index and DHW index which are formed by date sequence values of northern gulf and coastal areas of Hainan island in a certain time period, and perform visual analysis.
Secondly, considering the technical scheme as a whole or from the perspective of products, the technical effect and advantages of the technical scheme to be protected by the invention are specifically described as follows:
the invention carries out visual batch processing on the remote sensing data through a numerical mode, and can carry out coral ecological safety long-term forecast.
Third, as an inventive supplementary proof of the claims of the present invention, there are also presented several important aspects:
the expected income and commercial value after the technical scheme of the invention is converted are as follows: the expected income is about ten thousand yuan RMB by taking the data provided by the user, the product holder using the product to carry out the auxiliary calculation and collecting certain reward of the user as the earning means.
Drawings
Fig. 1 is a flow chart of a coral ecology visualization analysis method provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
1. Illustrative embodiments are explained. This section is an explanatory embodiment expanding on the claims so as to fully understand how the present invention is embodied by those skilled in the art.
As shown in fig. 1, the coral ecology visualization analysis method provided by the embodiment of the present invention includes the following steps:
s101, acquiring an OISST annual average global sea surface temperature data file; setting data volume, region range and Nino3.4 index definition range;
s102, acquiring a time schedule required by calculation; reading data from the data file in batches based on the analysis parameters;
s103, obtaining sea surface temperature, and calculating the Nino3.4 index and the monthly average value of the sea surface temperature; calculating a maximum value in the sea surface temperature monthly average based on the sea surface temperature monthly average;
s104, calculating a coral whitening temperature line based on the maximum value in the monthly average sea surface temperature; obtaining the minimum monthly average value of the sea surface temperature according to the monthly average value of the sea surface temperature;
s105, calculating a cold-whitening index according to the minimum monthly average value of the sea surface temperature; calculating hot spots and cold spots; calculating the full-time DHW; and obtaining an upflow index;
and S106, drawing a coral ecological visualization image based on the data obtained in the steps S103 to S105, and storing the coral ecological visualization image.
The embodiment of the invention provides a drawn coral ecological visual image, which comprises the following steps:
firstly, determining an x-axis and coordinate scales; calculating the monthly average in batches based on the data of forty years and arranging the monthly average into a two-dimensional matrix;
and secondly, intercepting data, drawing to obtain various pictures containing eight years of data, and performing visualization processing to obtain a coral ecological visualization image.
The coral ecological visual analysis system provided by the embodiment of the invention comprises:
the data acquisition module is used for acquiring an OISST annual average global sea surface temperature data file;
the parameter calculation module is used for setting analysis parameters;
the data reading module is used for acquiring a time schedule required by calculation; reading data from the data file in batches based on the analysis parameters;
the parameter calculation module is used for calculating sea surface temperature, nino3.4 index, monthly mean maximum value, coral whitening temperature line, hot spot, upflow index and DHW index of the sea area;
a visualized image generating module for generating a visualized image based on the calculated parameters;
and the storage display module is used for storing and displaying the calculated data and the generated visual image.
2. Application examples. In order to prove the creativity and the technical value of the technical scheme of the invention, the part is the application example of the technical scheme of the claims on specific products or related technologies. Used for calculating the survival status predicted by northern gulf coral, the current situation of coral growth suitability in coral triangle area, and the like.
The coral ecology visualization analysis method provided by the application embodiment of the invention is applied to a computer device, the computer device comprises a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor, so that the processor executes the steps of the coral ecology visualization analysis method.
The coral ecology visualization analysis method provided by the application embodiment of the invention is applied to a computer-readable storage medium, and a computer program is stored, wherein when the computer program is executed by a processor, the processor is enabled to execute the steps of the coral ecology visualization analysis method.
The coral ecology visualization analysis method provided by the application embodiment of the invention is applied to an information data processing terminal, and is characterized in that the information data processing terminal is used for realizing the coral ecology visualization analysis system.
The technical solution of the present invention is further described with reference to the following specific embodiments.
1. Definition of
SST: all are referred to as Sea Surface Temperature.
Nino3.4: an index for measuring the intensity of the el nino phenomenon.
MM: all called Monthly Mean, which is the Monthly average of sea surface temperatures, for example: the monthly average of the sea surface temperatures for one month was calculated for all the one month sea surface temperatures in the forty year data.
MMM: all referred to as Max Monthly Mean, is the maximum value in the Monthly average of the sea surface temperature.
Bleating Threshold: coral whitening temperature line, NOAA referenced, is defined as the sea surface temperature (BT for short) at 1 deg.C above the MMM line.
Hot Spot: the hot spot refers to the part (HS for short) of the surface temperature of the current sea exceeding the Bleating Threshold.
Minimum monthly average: like MMM, is the minimum value in the monthly average of sea surface temperatures.
Cold-whitening temperature profile: analogous to the coral albino temperature line, the sea surface temperature is 1 ℃ lower on average for the minimum month.
Cold Spot: cold spots, like hot spots, are parts of the day where the sea surface temperature is 1 ℃ below the cold-whitening temperature line.
Upwelling Index: the upwelling index is defined as the sea surface temperature difference (UI) between the sea area with the same latitude and the same size of framed range without upwelling and the sea area with upwelling.
DHW: all are named as Degree Heating Week, and the DHW definition is given in the reference research on the whitening remote sensing thermal stress detection method of the coral reef in the south China sea: DHW is the cumulative amount of Hot spots in the last twelve weeks of the day, and is expressed in units of 2 deg.C-weeks, and the DHW values corresponding to Hot spots at 2 deg.C for one week and Hot spots at 1 deg.C for two weeks are equal, and are both 2 deg.C-weeks. The calculation formula for DHW is given below:
2. overview
The embodiment of the invention adopts a traditional software development life cycle method and a structured design method which is gradually solved from top to bottom.
The coral ecological visual analysis system provided by the embodiment of the invention mainly has the following functions:
(1) Through data provided by a user, sea surface temperature, nino3.4 index, monthly mean maximum, coral albino temperature line, hot spot, upwelling index and DHW index of sea areas in a certain time range in a certain rectangular area are selectively calculated.
(2) And carrying out visualization processing on the calculated sea surface temperature, nino3.4 index, monthly average maximum value, coral albino temperature line, hot spot, upflow index and DHW index data.
(3) And automatically and batch saving the data and visualizing the processed images.
2.1 overview of requirements
(1) SST, nino3.4, MMM, BT, HS, UI, DHW are required to be calculated using a given.nc file.
(2) And saving the calculated data into the excel document in the target folder in batches.
(3) And processing the calculated data in a visualized mode.
(4) And storing the visualization results of the data into a target folder in batches.
2.2 data accuracy
1. Inputting the precision requirement: single type data
2. And (3) outputting precision: double type data, png type pictures
2.3 run time
Depending on the hardware configuration, it may be between about twenty minutes and one hour.
3. Operating environment
3.1 minimum configuration for reference
A processor:
Core TM i5-8265U CPU@1.60Hz 1.80GHz
installed memory (RAM): 8.00GB (7.85 GB available)
The system type is as follows: 64 bit operating system, x64 based processor
Hard disk: 256GB solid state disk
The display adapter:
MX130 independent display chip, 2GB independent display memory,
UHD Graphics 620
operating the system: windows 7-bit 64-bit
3.2 supporting software
The software running requirements are as follows: MATLAB 2019b
Compiler requirements: c language compiler MinGW/TDM-GCC/VS2013
4. Instructions for use
4.1 installation and initialization
Only the script needs to be put into the bin folder of MATLAB.
4.2 input
4.2.1 data background
OISST annual average global sea surface temperature data,. Nc document
4.2.2 data Format
Nc File storage matrix Format data
4.2.3 examples of inputs
The location of the data to be processed, d1= ncread ('F: \ shanhu \ oist _ quartz \ sst.day.mean.1981.Nc', 'time'), is specified in the script;
4.3 output
4.3.1 data background
Stored as excel files and placed in a folder designated by the user.
4.3.2 data Format
And storing the data in a matrix form with the data type of double.
4.3.3 examples
A three-dimensional matrix such as [ longitude, latitude, time ], where each datum in the matrix is the sea surface temperature at that time in that longitude and latitude. For example: the data on SST [60,60 ] represents the sea surface temperature at 10/30 days 1981 for a point with a longitude of 14.8750E and a latitude of 75.1250S.
5. Description of the operation
5.1 operating procedure
Acquiring a start time and an end time, namely a data volume; and setting a storage folder position.
The specified required area range is obtained.
The range defined by the Nino3.4 index is obtained.
The schedule (placed in the built-in file) required for the underlying calculations is obtained.
Batch reads data, obtains SSTs, and prepares for computing MMM and HS.
The Nino3.4 index is calculated.
And calculating the MM.
The MMM was obtained from MM.
Bleathing Threshold was obtained from MMM.
The minimum monthly average was obtained from MM.
The cold-whitening index is obtained on average according to the minimum month.
The Cold Spot and the Hot Spot are calculated.
The full-time DHW is calculated.
And acquiring the ascending flow index.
Starting to draw the picture: firstly, defining a required x-axis and coordinate scales; calculating the average monthly data of forty years in batches, and arranging the data to a two-dimensional matrix required by drawing; and finally, intercepting the data, drawing five pictures containing eight years of data, and performing visualization processing.
And storing the pictures and the data in a user-specified folder (the name is user-defined) in batches respectively.
5.2 run control
Download and configure MATLAB 2019b in advance
5.3 operating information
The script is opened and run in MATLAB
5.4 Start-Up or recovery procedure
After the starting, a word of 'waiting' appears at the lower left corner of the MATLAB 2019b interface, and a user keeps the MATLAB running continuously until the word of 'waiting' disappears.
3. Evidence of the relevant effects of the examples. The embodiment of the invention has some positive effects in the process of research and development or use, and indeed has great advantages compared with the prior art, and the following contents are described by combining data, charts and the like in the test process.
The invention has simple operation, easy operation, low requirement on the configuration of the computer, larger information amount stored in the same step, and capability of obtaining more stage information (such as an abnormal value from the highest level and the like) from the same step
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portions may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A coral ecology visualization analysis method is characterized by comprising the following steps:
firstly, selectively calculating sea area parameters in a certain rectangular area and a certain time range based on acquired data;
secondly, performing visualization processing on the sea area parameters obtained by calculation; and storing and outputting the calculated sea area parameters and the image obtained by visualization processing.
2. The coral ecology visualization analysis method of claim 1, wherein said sea parameters comprise: sea surface temperature of sea area, nino3.4 index, monthly mean maximum, coral albino temperature line, hot spot, upwelling index, and DHW index.
3. The coral ecology visualization analysis method of claim 1, wherein said coral ecology visualization analysis method comprises the steps of:
acquiring an OISST annual average global sea surface temperature data file; setting analysis parameters;
step two, acquiring a time schedule required by calculation; reading data from the data file in batches based on the analysis parameters;
step three, obtaining sea surface temperature, and calculating a Nino3.4 index and a sea surface temperature monthly average value; calculating a maximum value in the sea surface temperature monthly average based on the sea surface temperature monthly average;
step four, calculating a coral whitening temperature line based on the maximum value in the monthly average of the sea surface temperature; obtaining the minimum monthly average value of the sea surface temperature according to the monthly average value of the sea surface temperature;
step five, calculating a cold-whitening index according to the minimum monthly average value of the sea surface temperature; calculating hot spots and cold spots; calculating the full-time DHW; and obtaining an upflow index;
and step six, drawing a coral ecological visual image based on the data obtained by calculation in the step three to the step five, and storing the coral ecological visual image.
4. The coral ecology visualization analysis method of claim 3, wherein in said first step, analyzing parameters comprise: the data volume of daily, the region range, and the nino3.4 index define the range.
5. The coral ecology visualization analysis method of claim 4, wherein the data volume is a start time and an end time of analysis data.
6. The coral ecology visualization analysis method of claim 3, wherein in said sixth step, rendering coral ecology visualization images comprises:
firstly, determining an x-axis and coordinate scales; calculating the monthly average in batches based on the data of forty years and arranging the monthly average into a two-dimensional matrix;
and secondly, intercepting data, drawing to obtain various pictures containing eight-year data, and performing visualization processing to obtain a coral ecological visualization image.
7. A coral ecology visualization analysis system for performing the coral ecology visualization analysis method of any one of claims 1 to 6, wherein the coral ecology visualization analysis system comprises:
the data acquisition module is used for acquiring an OISST annual average global sea surface temperature data file;
the parameter calculation module is used for setting analysis parameters;
the data reading module is used for acquiring a time schedule required by calculation; reading data from the data file in batches based on the analysis parameters;
the parameter calculation module is used for calculating sea surface temperature, nino3.4 index, monthly average maximum value, coral albino temperature line, hot spot, upwelling index and DHW index of the sea area;
a visualized image generating module for generating a visualized image based on the calculated parameters;
and the storage display module is used for storing and displaying the calculated data and the generated visual image.
8. A computer arrangement, characterized in that the computer arrangement comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the coral ecology visualization analysis method of any one of claims 1 to 6.
9. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the coral ecology visualization analysis method of any one of claims 1-6.
10. An information data processing terminal, characterized in that the information data processing terminal is used for realizing the coral ecology visualization analysis system of claim 7.
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| CN116822710A (en) * | 2023-05-24 | 2023-09-29 | 国家海洋环境预报中心 | Coral reef whitening hot spot prediction method, calcification rate prediction method and electronic equipment |
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