CN109357979B - Haze movement analysis method and system based on satellite monitoring - Google Patents
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Abstract
The invention relates to the technical field of power distribution, and discloses a haze movement analysis method and system based on satellite monitoring, so as to realize effective analysis of haze movement and quickly and accurately know pollution conditions caused by haze; the method of the invention comprises the following steps: carrying out grid division on a region to be monitored, selecting at least two adjacent grids to form a basic region, and forming the rest grids into sub-regions according to the size of the basic region; monitoring each grid at least twice by adopting a satellite in a set time period, and calculating the optical thickness value of the aerosol of each grid region at each monitoring moment; calculating the correlation between each subregion and the basic region according to the aerosol optical thickness sequence of the subregion at the later monitoring time and the aerosol optical thickness sequence of the basic region at the earlier monitoring time to obtain the subregion with the maximum correlation with the basic region; and further obtaining the haze moving condition of the area to be analyzed.
Description
Technical Field
The invention relates to the technical field of power distribution, in particular to a haze movement analysis method and system based on satellite monitoring.
Background
In recent years, haze events frequently occur, the life and ecological environment of people are gradually worsened, and the production, life, physical and psychological health of people are seriously affected. With the continuous improvement of the power grid construction in China, electric energy is used as clean energy to gradually replace pollution energy such as coal and the like, and the air quality problem can be effectively improved in the high haze period.
When the clean energy dispatching operation is carried out, the actual condition and the subsequent change trend of haze pollution need to be known firstly, at present, the haze occurrence and the haze moving condition are analyzed mostly by adopting a ground observation method, but the overall pollution trend is difficult to grasp due to the fact that the ground observation is dispersive.
Therefore, how to realize effective analysis on the movement of the haze becomes an urgent problem to be solved.
Disclosure of Invention
The invention aims to provide a haze movement analysis method and system based on satellite monitoring, so that effective analysis of haze movement is realized, and pollution conditions caused by haze are rapidly and accurately known.
In order to achieve the aim, the invention provides a haze movement analysis method based on satellite monitoring, which comprises the following steps:
s1: carrying out grid division on a region to be monitored, selecting at least two adjacent grids to form a basic region, and forming a sub-region according to the size of the basic region;
s2: monitoring each grid at least twice by adopting a satellite in a set time period, and calculating the optical thickness value of the aerosol of each grid region at each monitoring moment;
s3: constructing an aerosol optical thickness sequence of the basic region according to the aerosol optical thickness values in the grids of the basic region, constructing an aerosol optical thickness sequence of each sub-region according to the aerosol optical thickness values in the grids of each sub-region, and calculating the correlation between each sub-region and the basic region according to the aerosol optical thickness sequence of the sub-region at the later monitoring time and the aerosol optical thickness sequence of the basic region at the earlier monitoring time to obtain the sub-region with the maximum correlation with the basic region;
s4: and obtaining the haze moving condition of the area to be analyzed according to the distance between the sub-area with the maximum correlation and the basic area and the monitoring time.
Preferably, the S2 specifically includes the following steps:
s21: setting a time period L, and dividing the set time period L into T moments;
s22: and monitoring the correlation quantity of all grids at each moment through a satellite, and calculating the aerosol optical thickness value of each grid at each moment according to the correlation quantity.
Preferably, the S3 specifically includes the following steps:
s31: selecting the aerosol optical thickness values of the basic regions at the previous time, and converting the aerosol optical thickness values corresponding to each grid in the basic regions into a one-dimensional aerosol optical thickness sequence in the sequence of the previous row and the next row;
s32: selecting aerosol optical thickness values of all the subregions at the later moment, and converting the aerosol optical thickness value corresponding to the grid of each subregion into a one-dimensional aerosol optical thickness sequence in a front-rear sequence;
s33: calculating the correlation r of the one-dimensional aerosol optical thickness sequence of all the sub-areas at the later moment and the one-dimensional aerosol optical thickness sequence of the basic area at the previous moment, wherein the calculation formula is as follows:
in the formula, x represents a one-dimensional aerosol optical thickness sequence of a basic region at a previous moment, y represents a one-dimensional aerosol optical thickness sequence of a certain subregion at a later moment, n represents column-direction pixel points of the subregions, m represents transverse pixel points of the subregions, and i represents the ith subregion;
s34: selecting a sub-region with the maximum correlation with the basic region according to the calculation result of S33, and marking the central point of the sub-region as O2;
s35: taking 02 as a new basic area, calculating the most relevant area O3 of the new basic area at the later moment, and so on, and obtaining all the central points in T moments.
Preferably, the S4 specifically includes the following steps:
s41: sequentially connecting each central point in a set time period L according to the time sequence to obtain the moving direction of the haze;
s42: calculating the distance between two adjacent central points, and calculating the haze moving speed v according to the time interval between the two adjacent central points and the distance, wherein the calculation formula is as follows:
in the formula, D represents the distance between two adjacent central points, and t represents the time interval between two adjacent central points;
s43: synthesize haze moving direction and haze moving speed and judge the haze condition of removing.
Preferably, the correlation quantity includes radiance of the grid under satellite monitoring, atmospheric parameters of the area where the grid is located, and orbital parameters of the adopted satellite.
As a general technical concept, the present invention further provides a haze movement analysis system based on satellite monitoring, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method when executing the program.
The invention has the following beneficial effects:
the invention provides a haze movement analysis method and a haze movement analysis system based on satellite monitoring, which comprises the steps of selecting a region representing the most severe haze from a region to be detected as a basic region, dividing the region to be detected into sub-regions according to the size of the basic region, and equally dividing the basic region and each sub-region in a grid form; monitoring each grid at least twice by adopting a satellite in a set time period, and calculating the optical thickness value of the aerosol of each grid region at each monitoring moment; constructing an aerosol optical thickness sequence of the basic region according to the aerosol optical thickness values in the grids of the basic region, constructing an aerosol optical thickness sequence of each sub-region according to the aerosol optical thickness values in the grids of each sub-region, and calculating the correlation between each sub-region and the basic region according to the aerosol optical thickness sequence of the sub-region at the later monitoring time and the aerosol optical thickness sequence of the basic region at the earlier monitoring time to obtain the sub-region with the maximum correlation with the basic region; obtaining the haze moving condition of the area to be analyzed according to the distance between the sub-area with the maximum correlation and the basic area and the monitoring time; the haze monitoring system can realize effective analysis on haze movement, quickly and accurately know pollution conditions caused by haze and accurately predict change conditions of the haze, and provides powerful scientific basis for developing whole-network cleaning scheduling for the haze.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a haze movement analysis method based on satellite monitoring according to a preferred embodiment of the invention;
fig. 2 is a schematic view showing the moving direction of haze in the preferred embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
Referring to fig. 1, the embodiment provides a haze movement analysis method based on satellite monitoring, which includes the following steps:
s1: carrying out grid division on a region to be monitored, selecting at least two adjacent grids to form a basic region, and forming a sub-region according to the size of the basic region;
s2: monitoring each grid at least twice by adopting a satellite in a set time period, and calculating the optical thickness value of the aerosol of each grid region at each monitoring moment;
s3: constructing an aerosol optical thickness sequence of the basic region according to the aerosol optical thickness values in the grids of the basic region, constructing an aerosol optical thickness sequence of each sub-region according to the aerosol optical thickness values in the grids of each sub-region, and calculating the correlation between each sub-region and the basic region according to the aerosol optical thickness sequence of the sub-region at the later monitoring time and the aerosol optical thickness sequence of the basic region at the earlier monitoring time to obtain the sub-region with the maximum correlation with the basic region;
s4: and obtaining the haze moving condition of the area to be analyzed according to the distance between the sub-area with the maximum correlation and the basic area and the monitoring time.
The haze movement analysis method based on satellite monitoring can effectively analyze the movement of haze, quickly and accurately know the pollution condition caused by haze and accurately predict the change condition of haze, and provides powerful scientific basis for developing the whole-network cleaning scheduling for haze.
It should be noted that the optical thickness of the aerosol refers to the integral of the aerosol extinction coefficient along the radiation transmission path in the vertical direction, and is used to describe the attenuation of light by the aerosol. And a larger value of the optical thickness of the aerosol indicates more serious air pollution. In addition, it is worth pointing out that the basic zone is initially selected by the staff, mainly according to the specific haze distribution.
As a preferred implementation manner of this embodiment, S2 specifically includes the following steps:
s21: setting a time period L, and dividing the set time period L into T moments;
s22: and monitoring the correlation quantity of all grids at each moment through a satellite, and calculating the aerosol optical thickness value of each grid at each moment according to the correlation quantity.
As a preferred implementation manner of this embodiment, S3 specifically includes the following steps:
s31: selecting the aerosol optical thickness values of the basic regions at the previous time, and converting the aerosol optical thickness values corresponding to each grid in the basic regions into a one-dimensional aerosol optical thickness sequence in the sequence of the previous row and the next row;
s32: selecting aerosol optical thickness values of all the subregions at the later moment, and converting the aerosol optical thickness value corresponding to the grid of each subregion into a one-dimensional aerosol optical thickness sequence in a front-rear sequence;
s33: calculating the correlation r of the one-dimensional aerosol optical thickness sequence of all the sub-areas at the later moment and the one-dimensional aerosol optical thickness sequence of the basic area at the previous moment, wherein the calculation formula is as follows:
in the formula, x represents a one-dimensional aerosol optical thickness sequence of a basic region at a previous moment, y represents a one-dimensional aerosol optical thickness sequence of a certain subregion at a later moment, n represents column-direction pixel points of the subregions, m represents transverse pixel points of the subregions, and i represents the ith subregion;
s34: selecting a sub-region with the maximum correlation with the basic region according to the calculation result of S33, and marking the central point of the sub-region as O2;
s35: taking 02 as a new basic area, calculating the most relevant area O3 of the new basic area at the later moment, and so on, and obtaining all the central points in T moments.
It should be noted that, in this embodiment, the first and the next orders are adopted when the optical aerosol thickness values corresponding to each grid in the basic region are converted into the one-dimensional optical aerosol thickness sequence and the optical aerosol thickness values corresponding to the grids of each sub-region are converted into the one-dimensional optical aerosol thickness sequence, but the present invention does not limit the order.
As a preferred implementation manner of this embodiment, S4 specifically includes the following steps:
s41: sequentially connecting each central point in a set time period L according to the time sequence to obtain the moving direction of the haze;
s42: calculating the distance between two adjacent central points, and calculating the haze moving speed v according to the time interval and the distance between the two adjacent central points, wherein the calculation formula is as follows:
in the formula, D represents the distance between two adjacent central points, and t represents the time interval between two adjacent central points;
s43: synthesize haze moving direction and haze moving speed and judge the haze condition of removing. The calculation process is simple and convenient, and the direction and the speed of haze movement can be quickly calculated.
Specifically, the analysis of haze is described by taking the north China as an example. Firstly, a certain area A in North China is selected as a satellite haze monitoring area, the area comprises 3 x 3 pixel points, and the area is divided into 3 x 3 grids. And selecting a basic area a in the area to be monitored, wherein the basic area a comprises 2 x 2 grids. Setting a monitoring time period as L, dividing the time period L into 2 moments, and monitoring an area to be monitored for 2 times in the time period L by using a satellite, wherein the optical aerosol thickness values of each grid at a first moment t1 and a second moment t2 are shown in the following table 1:
TABLE 1 optical thickness values at two moments
In table 1, the basic region a is a region composed of a mesh having aerosol optical thickness values of 1.0, 0.5, 2.2, and 2.0 at the first time; the sub-regions at the second time point have sub-regions with aerosol optical thickness values of 1.3, 0.4, 1.8, and 2.0, and the sub-regions at the second time point further include sub-regions with aerosol optical thickness values of 0.4, 0.9, 2.0, and 0.9, as can be seen from table 1, in combination with the continuity of the regions and the size of the basic region a; 1.8, 2.0, 1.2, and 1.8; 2.0, 0.9, 1.8, and 1.5. Thus, the aerosol optical thickness sequence for the elementary regions at the first time instant is: (1.0, 0.5, 2.2, 2.0); the aerosol optical thickness sequence for all sub-regions at the second time instant comprises the sequence 1: (1.3, 0.4, 1.8, 2.0); sequence 2: (0.4, 0.9, 2.0, 0.9); and (3) sequence: (1.8, 2.0, 1.2, 1.8); and (3) sequence 4: (2.0, 0.9, 1.8, 1.5).
Further, the correlation between each sub-region at the second time and the basic region at the first time is further calculated, and the correlations between the sequences 1 to 4 and the basic region at the first time are respectively 0.94, 0.65, -0.77 and 0.49. Then the correlation between the sub-region corresponding to sequence 1 at the second time instant and the basic region at the first time instant is the largest.
Marking the central position of the basic region at the first time as O1, marking the central position of the sub-region corresponding to the second time sequence 1 as O2, connecting the two adjacent central points to obtain a distance between the two central points as 4km, acquiring a monitoring time interval between the two central points as 1 hour in an actual situation, and further calculating to obtain a haze moving speed in the basic region as 4km/h, wherein the specific moving direction is from O1 to O2, as shown in fig. 2.
It should be noted that the satellite adopted by the invention is preferably a geostationary satellite, the monitoring of the region to be monitored can be rapidly realized in real time through the geostationary satellite, the haze diffusion and movement conditions of different regions can be calculated, and the calculation result is accurate.
Example 2
Corresponding to the foregoing method embodiments, this embodiment provides a haze movement analysis system based on satellite monitoring, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the foregoing method when executing the program. Therefore, the detailed description is omitted.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. A haze movement analysis method based on satellite monitoring is characterized by comprising the following steps:
s1: carrying out grid division on a region to be monitored, selecting at least four adjacent grids to form a basic region, and forming a sub-region according to the size of the basic region;
s2: monitoring each grid at least twice by adopting a satellite in a set time period, and calculating the optical thickness value of the aerosol of each grid region at each monitoring moment; the method specifically comprises the following steps:
s21: setting a time period L, and dividing the set time period L into T moments;
s22: monitoring the correlation quantity of all grids at each moment through a satellite, and calculating the optical thickness value of the aerosol of each grid at each moment according to the correlation quantity;
s3: constructing an aerosol optical thickness sequence of the basic region according to the aerosol optical thickness values in the grids of the basic region, constructing an aerosol optical thickness sequence of each sub-region according to the aerosol optical thickness values in the grids of each sub-region, and calculating the correlation between each sub-region and the basic region according to the aerosol optical thickness sequence of the sub-region at the later monitoring time and the aerosol optical thickness sequence of the basic region at the earlier monitoring time to obtain the sub-region with the maximum correlation with the basic region; the method specifically comprises the following steps:
s31: selecting the aerosol optical thickness values of the basic regions at the previous time, and converting the aerosol optical thickness values corresponding to each grid in the basic regions into a one-dimensional aerosol optical thickness sequence in the sequence of the previous row and the next row;
s32: selecting aerosol optical thickness values of all the subregions at the later moment, and converting the aerosol optical thickness value corresponding to the grid of each subregion into a one-dimensional aerosol optical thickness sequence in a front-rear sequence;
s33: calculating the correlation r of the one-dimensional aerosol optical thickness sequence of all the sub-areas at the later moment and the one-dimensional aerosol optical thickness sequence of the basic area at the previous moment, wherein the calculation formula is as follows:
in the formula, x represents a one-dimensional aerosol optical thickness sequence of a basic region at a previous moment, y represents a one-dimensional aerosol optical thickness sequence of a certain subregion at a later moment, n represents column-direction pixel points of the subregions, m represents transverse pixel points of the subregions, and i represents the ith subregion;
s34: selecting a sub-region with the maximum correlation with the basic region according to the calculation result of S33, and marking the central point of the sub-region as O2;
s35: taking 02 as a new basic area, calculating the most relevant area O3 of the new basic area at the later moment, and so on to obtain all central points in T moments;
s4: obtaining the haze moving condition of the area to be analyzed according to the distance between the sub-area with the maximum correlation and the basic area and the monitoring time, and specifically comprising the following steps:
s41: sequentially connecting each central point in a set time period L according to the time sequence to obtain the moving direction of the haze;
s42: calculating the distance between two adjacent central points, and calculating the haze moving speed v according to the time interval between the two adjacent central points and the distance, wherein the calculation formula is as follows:
in the formula, D represents the distance between two adjacent central points, and t represents the time interval between two adjacent central points;
s43: synthesize haze moving direction and haze moving speed and judge the haze condition of removing.
2. The haze movement analysis method based on satellite monitoring as claimed in claim 1, wherein the related quantities include radiance of grid under satellite monitoring, atmospheric parameters of area where grid is located, and orbital parameters of adopted satellite.
3. A satellite monitoring based haze mobile analysis system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method of any one of claims 1 to 2.
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