CN117408534B - Enteromorpha green tide salvaging effect short-term evaluation method based on satellite remote sensing - Google Patents
Enteromorpha green tide salvaging effect short-term evaluation method based on satellite remote sensing Download PDFInfo
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Abstract
The invention discloses a satellite remote sensing-based enteromorpha green tide salvage effect short-term evaluation method, and belongs to the field of enteromorpha green tide prevention and control evaluation methods. The method comprises the following steps: (1) Selecting an evaluation area and an evaluation time period, and acquiring the distribution position and coverage area of the green tide of the enteromorpha in the evaluation area at the initial moment; (2) Constructing an enteromorpha green tide short-term drift numerical model, acquiring surface flow velocity of an evaluation area and the surface flow velocity of sea surface wind in the vicinity of the evaluation area, and carrying out enteromorpha green tide drift numerical simulation of the evaluation area; (3) Calculating the green tide biomass reduction percentage of the enteromorpha and the ship salvaging efficiency, and evaluating the green tide salvaging effect of the enteromorpha. According to the method, the influence of the atmospheric and marine environment on the green tide plaque drift of the enteromorpha is considered, the green tide salvaging effect of the ship is scientifically estimated by analyzing the biomass reduction percentage and the ship salvaging efficiency before and after the green tide salvaging of the enteromorpha, technical support is provided for the green tide salvaging scientific decision of the enteromorpha, and further the resource waste is reduced.
Description
Technical Field
The invention relates to the field of enteromorpha green tide prevention and control evaluation methods, in particular to an enteromorpha green tide salvage effect evaluation method based on satellite remote sensing.
Background
The enteromorpha green tide has the characteristics of high biomass, long-distance migration process and great influence. The enteromorpha can rot and stink after landing, and has serious influence on marine ecological environment, coastal travel, offshore sports, aquaculture and the like. Therefore, the green tide prevention and control work of the enteromorpha is a great task in the ocean field of China. Salvaging on the sea, intercepting near the shore and cleaning the beach become three defense lines for green tide prevention and control of enteromorpha. The salvage at sea is put into the ship more often even tens of thousands of times. How to develop the enteromorpha green tide salvage effect evaluation is the key point and the difficulty of the current enteromorpha green tide prevention and control work. At present, no research on an enteromorpha green tide salvage effect evaluation method is found at home and abroad.
Disclosure of Invention
Based on the technical problems, the invention provides a short-term enteromorpha green tide salvaging effect evaluation method based on satellite remote sensing.
The technical scheme adopted by the invention is as follows:
a short-term evaluation method of enteromorpha green tide salvaging effect based on satellite remote sensing comprises the following steps:
a. selecting an evaluation area and an evaluation time period;
a1, determining an evaluation date and an evaluation range according to the evaluation requirement;
a2, acquiring satellite remote sensing images of the sea area where the evaluation range is located in the evaluation date;
a3, acquiring the position of the salvaged ship at the initial moment according to the ship automatic identification system, further identifying the centralized salvaging area of the ship, and acquiring a plurality of ship salvaging areas;
a4, selecting and evaluating regions without cloud coverage in the sea areas near the ship salvaging region at the initial time t1 and the final time t2, and interpreting satellite remote sensing images of the regions;
a5, selecting a salvage area where the green tide plaque of the enteromorpha exists as an evaluation area of the salvage effect of the enteromorpha according to the interpretation result of the satellite remote sensing image at the initial time t 1;
A6, acquiring the distribution position and coverage area of green tide of enteromorpha in the initial t1 moment evaluation area;
b. Carrying out drift numerical simulation based on the enteromorpha green tide short-term drift numerical model;
b1, constructing an enteromorpha green tide short-term drift numerical model;
based on a Lagrange particle tracking method, the enteromorpha green tide short-term drift numerical model is built by considering the dragging effect of wind and flow on enteromorpha green tide plaque without considering the growth and death processes of the enteromorpha, and the formula (1) is shown;
（1）
In the formula (1), the components are as follows, The position of the ith enteromorpha green tide plaque at the time t; for the surface flow rate, Wind speed is10 m for sea surface; Is the flow coefficient of action; The wind action coefficient represents the direct dragging action of wind on green tide plaques of enteromorpha; The change effect of wind on the movement direction of green tide plaque of enteromorpha is shown; the x-axis direction is The y-axis direction isWhereinIs the included angle between wind and the coordinate axis of the x-axis direction, the unit is degree,The wind drag deflection angle is measured in degrees;
b2, acquiring the surface flow velocity of the sea area and the hydrological data of the sea surface wind in the evaluation area and the nearby sea area;
b3, carrying out enteromorpha green tide drift numerical simulation in an evaluation area;
The evaluation area moves along with the drifting of the green tide plaque of the enteromorpha, so that the green tide plaque of the enteromorpha, which is remotely monitored by a satellite at the time of the initial time t1 of evaluation, is scattered into green tide particles of the enteromorpha, and the drifting positions of the green tide particles of the enteromorpha and the evaluation area at different moments are obtained by carrying out the numerical simulation of the green tide drifting of the enteromorpha in the evaluation area based on the inflection points of the green tide particles of the enteromorpha and the outer edge line of the evaluation area and on the basis of the short-term drifting numerical model of the green tide of the enteromorpha, which is constructed in the step b1, of the hydrological meteorological data obtained in the step b 2;
c. Evaluating the green tide salvaging effect of enteromorpha;
c1, enteromorpha green tide biomass reduction percentage:
Extracting the green tide coverage area of the enteromorpha in the evaluation area at the moment based on the satellite remote sensing image at the moment of the end of evaluation t2, acquiring the biomass of the unit area at the moment of t2 based on-site or historical monitoring data, and calculating the percentage of reduction of the green tide biomass of the enteromorpha in the evaluation time period by combining the green tide coverage area of the enteromorpha at the moment of the initial evaluation t1 and the biomass of the unit area, wherein the percentage of reduction of the green tide biomass of the enteromorpha is shown as a formula (2):
（2）
in the formula (2), the amino acid sequence of the compound, To evaluate the percentage reduction of green tide biomass of enteromorpha in the region,Evaluating the green tide coverage area of the enteromorpha in the area at the initial time t 1; the method comprises the steps of evaluating biomass per unit area of the enteromorpha green tide without draining water in an area at an initial time t 1; evaluating the green tide coverage area of the enteromorpha in the region at the time t 2; Evaluating biomass per unit area of enteromorpha green tide without draining water in the area at the time t 2;
c2, ship salvaging efficiency:
（3）
in the formula (3), The green tide efficiency of the enteromorpha salvaging the ship in the evaluation time is average; i is a ship for salvaging enteromorpha,；The method comprises the steps of (1) evaluating the green tide salvaging time of enteromorpha of an ith ship in time;
and c3, evaluating the salvaging effect of the green tide of the enteromorpha by analyzing the reduction percentage of the biomass of the green tide of the enteromorpha and the salvaging efficiency of the ship.
The beneficial technical effects of the invention are as follows:
the method is based on satellite remote sensing monitoring data and combines with an enteromorpha green tide drift prediction model to obtain a short-term enteromorpha green tide salvaging effect assessment method based on satellite remote sensing. According to the method, the green tide plaque drift of the enteromorpha is considered to be influenced by the atmosphere and the marine environment, the enteromorpha salvaging effect of the ship is scientifically evaluated by analyzing the biomass reduction percentage and the ship salvaging efficiency before and after salvaging, and key technical support is provided for enteromorpha salvaging scientific decisions (such as allocation, increase and decrease of the number of ships and the like), so that resource waste is reduced. The method plays an important role in the green tide salvaging process of the enteromorpha.
Drawings
FIG. 1 is a flow chart of a short-term evaluation method of the green tide salvaging effect of enteromorpha;
FIG. 2 is a schematic view of the ship position and the ship salvage area at the initial moment estimated in the specific application example of the invention;
Fig. 3 is a schematic diagram of the outer edge line of the evaluation area and the distribution situation of green tide of enteromorpha in the evaluation initial time and the end time in the specific application example of the invention.
Detailed Description
The enteromorpha green tide satellite remote sensing has the advantages of large coverage and short time for realizing the coverage of the yellow sea area. Meanwhile, green tide plaques of enteromorpha drift under the action of wind, flow and other environmental factors. Based on the above consideration, the invention adopts satellite remote sensing data and combines the enteromorpha green tide drift numerical simulation technology to obtain the enteromorpha green tide salvaging effect short-term evaluation method based on satellite remote sensing. The method can effectively evaluate the salvaging effect of the green tide of the enteromorpha and provide important support for emergency disposal of the green tide of the enteromorpha.
The present invention will be described in more detail below.
As shown in FIG. 1, the method for short-term evaluation of the green tide salvaging effect of the enteromorpha based on satellite remote sensing comprises the following steps:
a. and selecting an evaluation area and an evaluation time period.
A1, preliminarily determining an evaluation date and an evaluation range according to the evaluation requirement.
A2, acquiring satellite remote sensing images (t 2 & gt t 1) of the satellite remote sensing images of the sea areas t1 and t2 within the evaluation date according to the evaluation date and the evaluation range.
The satellite remote sensing image mainly comprises HY-1C/D CZI, high score No. 1 and high score No. four, sentinel-2, landsat-8 and the like.
And a3, acquiring the position of the initial moment of evaluation according to an automatic ship identification system (AIS), identifying the concentrated ship salvaging area by adopting a density-based clustering algorithm (DBSCAN algorithm), and calculating the minimum convex polygon by adopting a Graham scanning algorithm so as to acquire n ship salvaging areas.
And a4, selecting a region which is not covered by the cloud in the sea area near the ship salvage region at the initial time t1 and the final time t2 of evaluation, and interpreting satellite remote sensing images of the region.
And after the satellite remote sensing image is acquired, carrying out enteromorpha green tide scattering point extraction based on a business green tide information inversion algorithm. Firstly, carrying out pretreatment such as radiation calibration, atmosphere correction and the like on a remote sensing image to obtain an atmosphere bottom layer emissivity product; then, the preprocessed image is calculated by using enteromorpha green tide remote sensing detection algorithms such as normalized vegetation index (NDVI) and the like; and finally, performing visual interpretation on the calculated image, selecting a boundary value which can be judged as an enteromorpha green tide image element, and performing enteromorpha green tide related extraction by taking a detection index of the boundary value as a threshold value.
（1）
In the middle ofAndThe reflectivity of the near infrared band and the infrared band respectively. Determining the existence of enteromorpha by setting a threshold T0; the value of T is determined jointly by NDVI thresholding and visual interpretation of the false color composite image, with the theoretical value of threshold T0 being 0, but subject to fluctuations due to various factors (shoal, water depth, etc.).
And a5, selecting a salvage area where the green tide plaque of the enteromorpha exists as an evaluation area of the salvage effect of the enteromorpha according to the interpretation result of the satellite remote sensing image at the initial time t 1.
And a6, acquiring the distribution position and coverage area of the green tide of the enteromorpha by satellite remote sensing monitoring in an evaluation area at the initial time t1 of evaluation.
In the steps, the initial evaluation time is t1, the end evaluation time is t2, the evaluation time is t2-t1+1, the growth or death of enteromorpha is considered, and the short-term evaluation time is less than 72h.
B. and carrying out drift numerical simulation based on the enteromorpha green tide short-term drift numerical model.
B1, constructing an enteromorpha green tide short-term drift numerical model.
Based on a Lagrange particle tracking method, the enteromorpha green tide plaque floating is dispersed into a certain amount of enteromorpha green tide particles without considering the growth and death processes of the enteromorpha, and the short-term enteromorpha green tide drifting numerical model is built mainly by considering the dragging effect of wind and flow on the enteromorpha green tide plaque, and specifically is shown in a formula (2);
（2）
in the formula (2), the amino acid sequence of the compound, The position of the ith enteromorpha green tide plaque at the time t; for the surface flow rate, Wind speed is10 m for sea surface; Is the flow coefficient of action; The wind action coefficient represents the direct dragging action of wind on green tide plaques of enteromorpha; The change effect of wind on the movement direction of green tide plaque of enteromorpha is shown; the x-axis direction is The y-axis direction isWhereinIs the included angle between wind and the coordinate axis of the x-axis direction, the unit is degree,The yaw angle is the wind drag in degrees.
And b2, acquiring surface flow velocity of the research sea area and hydrometeorological data of sea surface wind.
The hydrometeorological data of the surface ocean current and the sea surface wind comprise the sea surface 10m wind speedAnd superficial flow rateThe data source is actual measurement data of the sea area where the green tide of the enteromorpha exists or numerical simulation results based on ocean and meteorological models. The duration of the ocean current and ocean surface wind data is not shorter than the drift numerical simulation duration; the data space range is larger than the range where the enteromorpha green tide plaque monitoring is located and the sea area where all the enteromorpha green tide plaque possibly drifts during numerical simulation.
And b3, carrying out enteromorpha green tide drift numerical simulation in the evaluation area.
The evaluation area moves along with the drifting of the green tide plaque of the enteromorpha, so that the green tide plaque of the enteromorpha is scattered into green tide particles by utilizing satellite remote sensing monitoring at the time of the initial time t1 of evaluation, the green tide particle of the enteromorpha and the drifting position of the evaluation area are obtained at different moments based on inflection points of the green tide of the enteromorpha and the outer edge line of the evaluation area and on the short-term drifting numerical model of the green tide of the enteromorpha constructed in the step b1, the hydrographic data obtained in the step b2 are developed to simulate the green tide drifting numerical model of the enteromorpha in the evaluation area.
C. And (5) evaluating the green tide salvaging effect of the enteromorpha.
C1, enteromorpha green tide biomass reduction percentage:
Extracting the enteromorpha green tide coverage area and the biomass in a unit area of an evaluation area at the moment from a satellite remote sensing image at the moment t2, and calculating the reduction percentage of the enteromorpha green tide biomass in an evaluation time period by combining the enteromorpha green tide coverage area and the biomass in the unit area at the moment of initial t1, wherein the reduction percentage is shown as a formula (3):
（3）
In the formula (3), the amino acid sequence of the compound, To evaluate the percentage reduction of green tide biomass of enteromorpha in the region,Evaluating the green tide coverage area of the enteromorpha in the area at the initial time t 1; for the biomass per unit area of the enteromorpha green tide which is not drained in the initial t1 time evaluation area, acquiring through on-site biomass acquisition or referring to historical monitoring data; evaluating the green tide coverage area of the enteromorpha in the region at the time t 2; and (3) evaluating biomass per unit area of the enteromorpha green tide which is not drained in the area at the time t2, and acquiring through on-site biomass acquisition or referring to historical monitoring data.
C2, ship salvaging efficiency:
（4）
In the formula (4) of the present invention, In order to evaluate the green tide efficiency of the ship for salvaging enteromorpha on average in tons per hour; i is a ship for salvaging enteromorpha,；Salvaging the enteromorpha on the ith ship.
Specifically, based on salvaging the regional ship Automatic Identification System (AIS) data, taking the salvage rest time into consideration, calculating the salvage time of the ith ship in the evaluation region (obtained based on the drift numerical model) dynamically drifting in the evaluation time period, wherein the time is the salvage time of the ith ship.
And c3, evaluating the salvaging effect of the ship on the green tide of the enteromorpha by analyzing the reduction percentage of the biomass of the green tide of the enteromorpha and the salvaging efficiency of the ship.
The invention will be further described with reference to specific examples of application.
And evaluating the fishing effect of the sea area of interest from 22 days to 23 days of 6 months.
1. Selecting an evaluation area and an evaluation time period:
(1) The evaluation date is determined to be approximately in the range of 22 days to 23 days according to the evaluation requirement. And acquiring remote sensing images of the HY-1C satellite of 30 minutes at 10 days and the HY-1D satellite of 54 minutes at 12 days in 6 months and 22 days within the evaluation date, wherein the resolution is 50m.
(2) Based on the data acquisition and evaluation of an automatic salvage ship identification system (AIS) of a sea area of interest (north latitude of 35 degrees), the position (the position of a triangle in fig. 2) of a salvage ship is salvaged at the initial moment (6 months and 22 days), and a clustering algorithm (DBSCAN algorithm) based on density is adopted to identify a centralized salvage area of the ship.
The minimum convex polygon is calculated by adopting a Graham scanning algorithm, so that 5 concentrated ship salvage areas (black dotted lines in FIG. 2) are obtained.
And (3) identifying the ship position as different salvage centralized areas by adopting a DBSCAN algorithm-density space clustering algorithm. The DBSCAN algorithm is a sample set connected by the maximum density derived from the density reachable relation, namely a cluster of the final cluster. There may be one or more core points within a cluster of DBSCAN algorithms. If there are multiple core points, there must be one other core point in the neighborhood of the neighborhood radius (Eps) of any one core point in the cluster, otherwise the two core points cannot be reached in density. The collection of all samples in the neighborhood of these core points forms a DBSCAN cluster. Enteromorpha green tide scattering points extracted based on satellite remote sensing images are identified by adopting MATLAB 2009 version and DBSCAN function above to identify salvage areas, and the salvage areas are marked as different salvage concentrated areas.
In this embodiment, the scanning radius (Eps) of the ship position is set to 0.02 °, and the minimum sample (MinPts) number is 3. And identifying 6 enteromorpha ship centralized salvaging areas.
(3) And selecting a cloud-covering-free area in the sea area near the salvage area at the initial time and the ending time of evaluation in the offshore area near the salvage area of the ship.
(4) And interpreting sea area 22-month HY1-C and 6-month 23-day HY-1D satellite remote sensing images, and obtaining the distribution position and coverage area of green tide of enteromorpha.
After the satellite remote sensing image is subjected to image preprocessing, enteromorpha green tide information is extracted by using an NDVI index, and enteromorpha green tide distribution data is obtained.
（5）
In the formula (5) of the present invention,AndThe reflectivity of the near infrared band and the infrared band respectively. The HY-1C and HY-1D data obtained in the application example adopt a B4 wave band (760-890 nm) in the NIR and a B3 wave band (610-690 nm) in the R; determining the existence of enteromorpha by setting a threshold T0; the value of T is determined jointly by NDVI thresholding and visual interpretation of the false color composite image, with the theoretical value of threshold T0 being 0, but subject to fluctuations due to various factors (shoal, water depth, etc.).
(5) And selecting a region with relatively dense enteromorpha green tide plaque salvaging areas as a salvaging effect evaluation region (a range included by black lines in fig. 3).
(6) And acquiring the distribution position and coverage area of the enteromorpha green tide in the satellite remote sensing monitoring enteromorpha green tide in the evaluation area of 10 points 30 minutes at 22 days of 6 months, wherein the coverage area is 0.12 square kilometer.
(7) The evaluation time was from 10 points 30 minutes on day 22 to 54 minutes on day 12 points 23 on month 6.
2. Carrying out drift numerical simulation based on enteromorpha green tide short-term drift numerical model:
And constructing an enteromorpha green tide drift numerical model of the enteromorpha green tide based on a Lagrangian particle tracking method. Wherein, the ocean current acting coefficient R1 in the model is set to be 1, the wind acting coefficient R2 is set to be 0.01, and the wind dragging deflection angle is set to be 20 degrees.
And acquiring the 6-month 22-day to 23-day surface sea current and 10m wind field numerical simulation data of the evaluation area and the nearby sea area, wherein the data time interval is 10min.
Based on the drift numerical model and the environment numerical simulation data, carrying out inflection point drift numerical simulation of the enteromorpha green tide particles and the evaluation area monitored by satellite remote sensing at the initial evaluation moment (t 1), and obtaining drift positions of the enteromorpha green tide particles and the evaluation area at different moments.
3. The enteromorpha green tide plaque salvaging effect is evaluated;
(1) The percentage of biomass reduction before and after green tide salvage of enteromorpha is reduced:
The enteromorpha green tide patch drifts with wind and flow, so that the evaluation area moves along with the enteromorpha green tide drift. And (3) extracting the distribution position of the green tide of the enteromorpha in an evaluation area (the range contained by a dotted line in fig. 3) at the moment from satellite remote sensing results of 12 points and 54 points on the 23 days of 6 months, counting the coverage area (the coverage area is 0.025 square kilometer) in the evaluation area, and calculating the percentage of reduction of the biomass of the green tide of the enteromorpha according to a formula (6).
（6）
In the formula (6) of the present invention,To evaluate the percentage reduction of green tide biomass of enteromorpha in the region,The coverage area is monitored by enteromorpha green tide satellite in an evaluation area of 10 points 30 on 22 days of 6 months; for the enteromorpha green tide coverage area of satellite monitoring in the evaluation area of 12 points 54 minutes on 23 days (obtained by carrying out drift numerical simulation based on the enteromorpha green tide short-term drift numerical model according to the step b), considering the shorter time, AndThe change is very small, and the two are equal.
Based on the formula (6) and the coverage areas before and after salvaging, the percentage of reduction of the green tide biomass of the enteromorpha is calculated, and the result shows that the percentage of reduction of the green tide biomass of the enteromorpha is 79.1% from the time of 10 days to the time of 13 days of 22 months of 6 months, and the basic salvaging of the green tide of the enteromorpha in the evaluation area is completed.
(2) Salvaging efficiency of ship：
（7）
In view of the short time period of time,AndThe change is very small, and the two are equal.For the biomass of the green tide unit area of the enteromorpha without draining, the biomass of the green tide unit area of the enteromorpha with large area (the area is more than 100m 2) without draining is obtained based on historical monitoring data, and is 2.8kg/m 2.
Based on AIS data of the ship in the area, the salvaging time of the ith ship in an evaluation area (obtained based on a drift numerical model) dynamically drifting in an evaluation time period is calculated in consideration of the salvaging rest time.
Therefore, based on the green tide coverage area of the enteromorpha before and after salvaging, the green tide biomass of the enteromorpha before and after salvaging and the salvaging time of salvaging the ship, the average salvaging efficiency of the ship is calculated to be 1.45 tons/hour by utilizing the formula (7).
By analyzing the enteromorpha green tide biomass reduction percentage and the ship salvaging efficiency, the ship enteromorpha salvaging effect is evaluated, and key technical support can be provided for enteromorpha salvaging decisions such as (scientific allocation, increase and decrease of the number of ships and the like).
Claims (3)
1. A short-term evaluation method of enteromorpha green tide salvaging effect based on satellite remote sensing is characterized by comprising the following steps:
a. selecting an evaluation area and an evaluation time period;
a1, determining an evaluation date and an evaluation range according to the evaluation requirement;
a2, acquiring satellite remote sensing images of the sea area where the evaluation range is located in the evaluation date;
a3, acquiring the position of the salvaged ship at the initial moment according to the ship automatic identification system, further identifying the centralized salvaging area of the ship, and acquiring a plurality of ship salvaging areas;
a4, selecting and evaluating regions without cloud coverage in the sea areas near the ship salvaging region at the initial time t1 and the final time t2, and interpreting satellite remote sensing images of the regions;
a5, selecting a salvage area where the green tide plaque of the enteromorpha exists as an evaluation area of the salvage effect of the enteromorpha according to the interpretation result of the satellite remote sensing image at the initial time t 1;
A6, acquiring the distribution position and coverage area of green tide of enteromorpha in the initial t1 moment evaluation area;
b. Carrying out drift numerical simulation based on the enteromorpha green tide short-term drift numerical model;
b1, constructing an enteromorpha green tide short-term drift numerical model;
based on a Lagrange particle tracking method, the enteromorpha green tide short-term drift numerical model is built by considering the dragging effect of wind and flow on enteromorpha green tide plaque without considering the growth and death processes of the enteromorpha, and the formula (1) is shown;
In the formula (1), x i is the position of the ith enteromorpha green tide patch at the time t; v a is surface flow velocity, v d is sea surface wind velocity of 10 m; r 1 is the flow coefficient; r 2 is a wind action coefficient, and represents the direct dragging action of wind on the green tide patch of the enteromorpha; zeta (x i, t) represents the changing effect of wind on the movement direction of green tide plaques of enteromorpha; the x-axis direction is cos (alpha-beta), the y-axis direction is sin (alpha-beta), wherein alpha is the included angle of wind and the coordinate axis of the x-axis direction, the unit is degree, and beta is the wind dragging deflection angle, and the unit is degree;
b2, acquiring the surface flow velocity of the sea area and the hydrological data of the sea surface wind in the evaluation area and the nearby sea area;
b3, carrying out enteromorpha green tide drift numerical simulation in an evaluation area;
The evaluation area moves along with the drifting of the green tide plaque of the enteromorpha, so that the green tide plaque of the enteromorpha, which is remotely monitored by a satellite at the time of the initial time t1 of evaluation, is scattered into green tide particles of the enteromorpha, and the drifting positions of the green tide particles of the enteromorpha and the evaluation area at different moments are obtained by carrying out the numerical simulation of the green tide drifting of the enteromorpha in the evaluation area based on the inflection points of the green tide particles of the enteromorpha and the outer edge line of the evaluation area and on the basis of the short-term drifting numerical model of the green tide of the enteromorpha, which is constructed in the step b1, of the hydrological meteorological data obtained in the step b 2;
c. Evaluating the green tide salvaging effect of enteromorpha;
c1, enteromorpha green tide biomass reduction percentage:
Extracting the green tide coverage area of the enteromorpha in the evaluation area at the moment based on the satellite remote sensing image at the moment of the end of evaluation t2, acquiring the biomass of the unit area at the moment of t2 based on-site or historical monitoring data, and calculating the percentage of reduction of the green tide biomass of the enteromorpha in the evaluation time period by combining the green tide coverage area of the enteromorpha at the moment of the initial evaluation t1 and the biomass of the unit area, wherein the percentage of reduction of the green tide biomass of the enteromorpha is shown as a formula (2):
In the formula (2), P is the percentage of reduction of enteromorpha green tide biomass in the evaluation area, and S t1 is the coverage area of the enteromorpha green tide in the initial t1 moment evaluation area; a t1 is the biomass per unit area of enteromorpha green tide which is not drained in the initial t1 time evaluation area; s t2 is the green tide coverage area of the enteromorpha in the time t2 evaluation area; a t2 is the biomass per unit area of enteromorpha green tide which is not drained in the time t2 evaluation area;
c2, ship salvaging efficiency:
in the formula (3), eta is the average enteromorpha green tide salvaging efficiency of the ship in the evaluation time; i is salvaging enteromorpha ships, i=1, 2. ti is enteromorpha green tide salvaging time of the ith ship in the evaluation time;
c3, evaluating the salvaging effect of the enteromorpha green tide of the ship by analyzing the reduction percentage of the enteromorpha green tide biomass and the salvaging efficiency of the ship;
In step a 3: adopting a clustering algorithm based on density to identify the ship as an enteromorpha green tide ship centralized salvaging area; calculating the minimum convex polygon by adopting a Graham scanning algorithm, thereby obtaining a plurality of ship salvage areas;
In step c 2: based on the data of the automatic ship identification system in the area, the salvaging time of the ith ship in the evaluation area with dynamic drifting in the evaluation time period is calculated in consideration of the salvaging rest time, and the salvaging time of the ith ship is calculated.
2. The short-term evaluation method of the green tide salvaging effect of enteromorpha based on satellite remote sensing according to claim 1, wherein in the step a4, the satellite remote sensing image interpretation step is as follows:
After the satellite remote sensing image is subjected to image preprocessing, enteromorpha green tide information is extracted by using an NDVI index, and enteromorpha green tide distribution data is obtained;
in the formula (4), rnir is the reflectivity of the near infrared band, and Rr is the reflectivity of the infrared band.
3. The method for short-term evaluation of the salvaging effect of enteromorpha green tide based on satellite remote sensing according to claim 1, wherein the method is characterized in that,
In step b2: the hydrometeorological data of the sea surface wind comprise the sea surface 10m wind speed; the surface flow rate of the sea area and the hydrographic data of the sea surface wind are researched, and the hydrographic data are obtained through actual measurement data of the sea area where the green tide of the enteromorpha exists or numerical simulation results based on a sea and aerographic model.
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