CN110188944A - One kind is surged monitoring and pre-alarming method - Google Patents

One kind is surged monitoring and pre-alarming method Download PDF

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CN110188944A
CN110188944A CN201910454459.1A CN201910454459A CN110188944A CN 110188944 A CN110188944 A CN 110188944A CN 201910454459 A CN201910454459 A CN 201910454459A CN 110188944 A CN110188944 A CN 110188944A
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surging
energy
region
flux density
source
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CN110188944B (en
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郑崇伟
李伟
李崇银
杨少波
高元博
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Dalian Naval Vessels College Navy P L A
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    • G06—COMPUTING; CALCULATING OR COUNTING
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Abstract

The invention belongs to wave monitoring technical field, it is related to one kind and surges monitoring and pre-alarming method.The method comprises the following steps: the first step, acquires extra large table wind field data and terrain data.Second step calculates extra large table wind field data and terrain data using LAGFD-WAM wave model WW3 and SWAN, obtains wave big data.Energy-flux density of surging is calculated using the bathymetric data in second step wave big data and data of surging in third step.4th step defines index of surging.5th step asks swell propagation path.6th step, asks source of surging.7th step calculates the time that swell propagation needs.8th step calculates the attenuation rate of swell propagation process.9th step using wavelet analysis and is surged energy-flux density data, calculate region-of-interest, source surge energy-flux density season in the period.The present invention can accurately calculate the propagation path surged, speed, source, terminal, and the source that will surge is defined in a certain small range sea area, be more advantageous to the accurate monitoring realized and surged.

Description

One kind is surged monitoring and pre-alarming method
Technical field
The invention belongs to wave monitoring technical field, it is related to one kind and surges monitoring and pre-alarming method.
Background technique
In all Oceanic disasters, personnel caused by wave and property injures and deaths are all located at forefront, especially surge with energy Measure huge, destructive strong feature, can be formed in hang down, hogging phenomena such as, be easy to cause seriously to damage to ship, in addition damage It ruins.Anything has dual character.Since the energy surged is huge, stability is good, often occupies an leading position in superposition of wind wave and swell, closely Power generation of surging more is paid attention in the world over year.Further investigation surges feature for monitoring and warning of surging, seawave power generation and seawater The wave energies engineerings such as desalination, wave and wave energy forecast etc. suffer from practical value.
By the contribution of forefathers, have very to surge isolation technics, swell index, pond of surging, ocean wave spectrum etc. of stormy waves Good assurance, but the research about swell propagation is still rare.Research shows that it is straight that thousands of kilometers can be propagated after generation of surging It is broken to seashore is propagated to, and energy loss is smaller in communication process.This means that the source that can surge by monitoring, knot Propagation path, speed, attenuation are closed to realize the monitoring and warning of surging of region-of-interest.It is therefore desirable to construct methodology Quantitatively show swell propagation feature.Traditional swell propagation characteristic analysis method has the following problems:
1) existing method is usually to pass through surge wave height, wave direction of drafting qualitatively to show swell propagation, can show and surge The substantially direction of propagation, but cannot accurately show swell propagation path.In addition, wave direction is not suitable for showing the propagation road surged Diameter, such as the left semicircle of typhoon direction of advance, wave direction and typhoon direction of advance are close on the contrary.
2) source retrospect of surging still is realized without suitable method at present, and this is the key that monitoring and warning ring of surging Section.
3) extremely rare about the research of swell propagation speed at present, and this directly decides mentioning for monitoring and warning of surging Preceding amount.
4) about the research almost blank of the attenuation during swell propagation, this is also to surge to monitor to be paid close attention to 's.
Although still can be realized source of surging without methodology about the qualitative analysis of swell propagation feature at present Retrospect, and quantitatively show the attenuation in the propagation path surged, speed and communication process, and this is monitoring of surging What early warning was paid close attention in actual application.
Summary of the invention
For overcome the deficiencies in the prior art, it surges monitoring and pre-alarming method the present invention provides one kind, for threat of surging Prevention, wave energy exploitation, wave forecast etc. provide scientific basis.
One kind is surged monitoring and pre-alarming method, and steps are as follows:
The first step acquires extra large table wind field data and terrain data.
Second step calculates extra large table wind field data and terrain data using LAGFD-WAM wave model WW3 and SWAN, when obtaining long Between sequence, high-spatial and temporal resolution, stormy waves and the wave big data for separation of surging.
Third step, using the bathymetric data in second step wave big data and data of surging, according to the calculating of energy-flux density The energy-flux density of surging (WPD) of long-term sequence, high time resolution is calculated in method.
The calculation method of energy-flux density are as follows:
In the case of shallow water (λ < 1/20 d/):
In the case of deep water (λ >=1/2 d/):
In the case of Intermediate Water Depth (λ < 1/2 1/20≤d/):
Wherein, WPD is energy-flux density (unit: kW/m), HsFor significant wave height (unit: m), TeFor Periods (unit: S), d is the depth of water (unit: m), and tanh, sinh are tanh, hyperbolic sine function respectively, and k is wave number, λ be wavelength (unit: M), ρ is density of sea water,
Index (SI) is surged in 4th step, definition.
The energy-flux density of surging (WPD) of a certain moment region-of-interest is done region to be averaged, obtains the moment region-of-interest Surge index (SI), obtains the index of surging (SI) of long-term sequence, high time resolution in the same way.
5th step asks swell propagation path.
5.1 choose concern season, calculating surge index (SI) with each mesh point in sea area (lattice point number is by the big number of wave According to spatial resolution determine) contemporaneous correlation of upsurge energy-flux density (WPD), obtain a related coefficient field pattern, only Show region of the related coefficient by significance test.
5.2 calculate surge index (SI) lag 24 hours and the energy-flux density of surging (WPD) on each mesh point in sea area Contemporaneous correlation obtains a related coefficient field pattern, only shows region of the related coefficient by significance test.
5.3 use same methods, calculate separately lag 48,72,96,120,144,168 ... n hours it is each with sea area The contemporaneous correlation of energy-flux density of surging (WPD) on mesh point, correspondence obtain related coefficient field pattern, only show related coefficient Pass through the region of significance test.
5.4 are highlighted the big value center of the obtained each related coefficient field 5.1-5.3, and will be all highlighted aobvious Show that region is connected using solid line, region-of-interest is directed toward in the region You Gaoxian, is depicted with arrows swell propagation direction, is surged Propagation path.It surges using same method is available in the propagation path in each season.
6th step, asks source of surging.
Based on second step, when index of surging (SI) lags n hours and the energy-flux density of surging on each mesh point in sea area (WPD) when closing on not significant related (i.e. related coefficient cannot pass through significance test), a moment related coefficient thereon Region by significance test is the source of surging of region-of-interest.
7th step calculates the time that swell propagation needs.
It obtains surging after source, calculates and surge index (SI) and source is surged the contemporaneous correlation, super of energy-flux density (WPD) Preceding related and lag correlation, when SI lag i is small, the related coefficient of the two can reach peak value, and be examined by conspicuousness It tests, that is, surges and need i hours to propagate to region-of-interest from source.
8th step calculates the attenuation rate of swell propagation process.
The calculation method for energy attenuation rate of surging is as follows:
In formula: dtFor surge can at a time t attenuation rate (unit: %), WPDtFor surging for the source a certain moment t Energy-flux density (unit: kW/m), WPD(t-i)Energy-flux density of surging (unit: kW/ after being lagged i hours for region-of-interest than source M), the value standard of i are as follows: when region-of-interest is smaller than source lag i, the energy-flux density of surging of region-of-interest and source Related coefficient reaches peak value.
9th step is calculated and is closed using the energy-flux density data of surging of wavelet analysis and long-term sequence, high time resolution Note region, source surge energy-flux density season in the period, it was demonstrated that there are general character for the Intraseasonal Oscillations feature in two regions.
Tenth step is calculated and is closed using the energy-flux density data of surging for intersecting small echo and long-term sequence, high time resolution Note region, source are surged phase difference of the energy-flux density on common cycle, it was demonstrated that using lead-lag relevant calculation propagation when Between correctness.
11st step repeats third to the tenth step, realizes the swell propagation signature analysis in each season, including region-of-interest Source of surging, propagation path, propagation time, the attenuation during swell propagation.
Obtain region-of-interest in the source of surging in each season, swell propagation path, need time, attenuation, it is comprehensive Using the above element, the monitoring and warning of surging of region-of-interest may be implemented.
Beneficial effects of the present invention:
(1) traditional swell propagation analysis method can substantially show the source surged, but source range is larger, is unfavorable for Small range sea area is focused to realize monitoring of surging.The present invention source that will can accurately surge is defined in a certain small range sea area, more It is advantageously implemented the accurate monitoring surged.
(2) present invention can accurately show the propagation path surged, speed, in conjunction with the source of surging traced back to, it can be seen that gushing Wave from what source, along what propagated, when can influence region-of-interest, to be provided precisely for region-of-interest Monitoring and warning of surging, prevention surge caused by threat, for the safety guarantee of ocean energy exploitation, offshore construction, ocean platform There is practical value.
(3) surging, energy is huge, has good stability, occupies an leading position in superposition of wind wave and swell, grasps the propagation characteristic surged, has Conducive to the acquisition and transfer efficiency improved to wave energy, section is provided for the businessization operation of the work such as seawave power generation, sea water desalination Learn foundation.
(4) propagation path surged, the attenuation in communication process are grasped, can for ocean navigation flight course planning, Risk averse provides scientific basis, takes precautions against vertical, hogging, racing of propeller etc. in as caused by surging and threatens；It can also be wave Wave can forecast to provide fundamental basis, to improve the collecting efficiency to wave energy.
(5) due to failing accurately to grasp propagation path, speed, source, the attenuation etc. surged, cause in region wave When simulation, tend not to advantageously take into account the swell propagation other than region, to influence to simulate effect.In order to improve simulation essence Degree, it will usually using the method for region nesting, suitably expand simulation context on the basis of region-of-interest, with extended area Analog result provides boundary condition for region-of-interest.As for by region extension how much, still not certain standard and judgment, often Appearance cannot fully take into account the case where foreign country is surged.This method can accurately show the propagation characteristic surged, in sea wave simulation Region nesting when, the range of choice of extended area there has been scientific basis.
Detailed description of the invention
Fig. 1 is the acquisition modes of wave big data of the invention.
Fig. 2 is swell propagation process approach of the invention.
The energy-flux density of surging that Fig. 3 is on August 16th, 2002.
Fig. 4 is the related coefficient field pattern of 6-8 month contemporaneous correlation in 2001.
Fig. 5 be surge index (SI) lag 24 hours contemporaneous correlation related coefficient field pattern.
Fig. 6 (a), 6 (b), 6 (c), 6 (d), 6 (e), 6 (f) be respectively surge index (SI) lag 48,72,96,120, 144, the related coefficient field pattern of 168 hours contemporaneous correlations.
Fig. 7 is the propagation path schematic diagram surged.
Fig. 8 is that related coefficient reaches peak value schematic diagram.
Fig. 9 is the attenuation rate schematic diagram of swell propagation process.
Cyclic graph in the season for energy-flux density that Figure 10 is region-of-interest, source is surged.
Figure 11 is that region-of-interest, source are surged phase difference schematic diagram of the energy-flux density on common cycle.
Specific embodiment
In order that the present invention can be more clearly and readily understood, right below according to specific embodiment and in conjunction with attached drawing The present invention is described in further detail.
The first step, installation and debugging WW3 and SWAN LAGFD-WAM wave model；Acquire the sea ERA-Interim table wind field, Etopo1 depth of water number According to, and it is processed into the format of LAGFD-WAM wave model identification.
Second step drives WW3 and SWAN LAGFD-WAM wave model (ocean with the sea ERA-Interim table wind field, Etopo1 bathymetric data Using WW3, offshore uses SWAN), obtain in December, -2018 in January, 2001, by 3 hours (every 3 hours data), 0.5 ° × 0.5 ° of spatial resolution, stormy waves and the wave big data for separation of surging.
Third step, using the bathymetric data in second step wave big data and data of surging, according to the calculating of energy-flux density Method is calculated 2001-2018 by 6 hours energy-flux densities of surging (WPD), sees Fig. 3.
Index (SI) is surged in 4th step, definition.Herein using Sri Lanka sea area as region-of-interest, example demonstration is unfolded. By the energy-flux density of surging (WPD) of region-of-interest when 1 day 00 January in 2001 (Sri Lanka sea area, 0 ° of -10 ° of S, 75 ° of E-85 ° of E) It is average to do region, obtains a numerical value, is defined as the SI of the moment south west Indian Ocean, obtains 2001- in the same way SI by 6 hours south west Indian Oceans in 2018.
5th step asks swell propagation path.
5.1 choose the season (the 6-8 month in 2001) of concern, calculate surge index (SI) and each mesh point (lattice in the Indian Ocean Point number is determined by the spatial resolution of wave big data) contemporaneous correlation of upsurge energy-flux density (WPD), obtain a correlation Coefficient field pattern only shows region of the related coefficient by significance test, sees Fig. 4.
5.2 calculate surge index (SI) lag 24 hours and the energy-flux density of surging (WPD) on each mesh point in the Indian Ocean Contemporaneous correlation, obtain a related coefficient field pattern, only show region of the related coefficient by significance test, see Fig. 5.
5.3 use same methods, calculate separately lag 48,72,96,120,144,168 ... n hours it is each with sea area The contemporaneous correlation of energy-flux density of surging (WPD) on mesh point, correspondence obtain related coefficient field pattern, only show related coefficient By the region of significance test, Fig. 6 is seen.
5.4 are highlighted the big value center of the obtained each related coefficient field 5.1-5.3, and will be all highlighted aobvious Show that region is connected using solid line, region-of-interest is directed toward in the region You Gaoxian, is depicted with arrows swell propagation direction, is surged Propagation path is shown in Fig. 7.It surges using same method is available in the propagation path in each season.
6th step, asks source of surging.
Based on second step, when index of surging (SI) lags 168 hours and the energy-flux density of surging on each mesh point in sea area (WPD) when closing on not significant related (i.e. related coefficient cannot pass through significance test), a moment related coefficient thereon Region by significance test is the source of surging of region-of-interest, sees Fig. 7.
7th step calculates the time that swell propagation needs.
It obtains surging after source, calculates and surge index (SI) and source is surged the contemporaneous correlation, super of energy-flux density (WPD) Preceding related and lag correlation, when SI lag 168 is small, the related coefficient of the two can reach peak value, and pass through conspicuousness It examines, that is, needs of surging propagate to region-of-interest from source in 168 hours, see Fig. 8.
8th step calculates the attenuation rate of swell propagation process, sees Fig. 9.
9th step is calculated and is closed using the energy-flux density data of surging of wavelet analysis and long-term sequence, high time resolution Note region, source surge energy-flux density season in the period, it was demonstrated that there are general character for the Intraseasonal Oscillations feature in two regions, see figure 10。
Tenth step is calculated and is closed using the energy-flux density data of surging for intersecting small echo and long-term sequence, high time resolution Note region, source are surged phase difference of the energy-flux density on common cycle, it was demonstrated that using lead-lag relevant calculation propagation when Between correctness, see Figure 11.
11st step repeats third to the tenth step, realizes the swell propagation signature analysis in each season, including region-of-interest Source of surging, propagation path, propagation time, the attenuation during swell propagation.
The above embodiments are merely illustrative of the technical solutions of the present invention rather than is limited, the ordinary skill of this field Personnel can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the spirit and scope of the present invention, this The protection scope of invention should subject to the claims.

Claims (2)

  1. The monitoring and pre-alarming method 1. one kind is surged, which is characterized in that steps are as follows:
    The first step acquires extra large table wind field data and terrain data；
    Second step calculates extra large table wind field data and terrain data using LAGFD-WAM wave model WW3 and SWAN, obtains the big number of wave According to；
    Third step using the bathymetric data in second step wave big data and is surged data, according to the calculation method of energy-flux density, Energy-flux density of surging is calculated；
    The calculation method of energy-flux density are as follows:
    In the case of shallow water (λ < 1/20 d/):
    In the case of deep water (λ >=1/2 d/):
    In the case of Intermediate Water Depth (λ < 1/2 1/20≤d/):
    Wherein, WPD is energy-flux density (unit: kW/m), HsFor significant wave height (unit: m), TeFor Periods (unit: s), d For the depth of water (unit: m), tanh, sinh are tanh, hyperbolic sine function respectively, and k is wave number, and λ is wavelength (unit: m), ρ For density of sea water,
    4th step defines index of surging；
    The energy-flux density of surging of a certain moment region-of-interest is done region to be averaged, obtains the index of surging of the moment region-of-interest, Index of surging is obtained in the same way；
    5th step asks swell propagation path；
    5.1 choose the season of concern, calculate the contemporaneous correlation of surge index and each mesh point upsurge energy-flux density in sea area, obtain To a related coefficient field pattern, region of the related coefficient by significance test is only shown；
    5.2 calculate surge exponential lag 24 hours and the contemporaneous correlation of the energy-flux density of surging on each mesh point in sea area, obtain One related coefficient field pattern only shows region of the related coefficient by significance test；
    5.3 use same method, calculate separately lag 48,72,96,120,144,168 ... n hours and each grid in sea area The contemporaneous correlation of energy-flux density of surging on point, correspondence obtain related coefficient field pattern, and it is significant only to show that related coefficient passes through Property examine region；
    5.4 are highlighted the big value center of the obtained each related coefficient field step 5.1-5.3, and will be all highlighted aobvious Show that region is connected using solid line, region-of-interest is directed toward in the region You Gaoxian, is depicted with arrows swell propagation direction, is surged Propagation path；It surges using same method is available in the propagation path in each season；
    6th step, asks source of surging；
    Based on second step, closed on not significantly when the exponential lag n that surges is small with the energy-flux density of surging on each mesh point in sea area When related, the region that a moment related coefficient passes through significance test thereon is the source of surging of region-of-interest；
    7th step calculates the time that swell propagation needs；
    It obtains surging after source, calculates surge index and source and surge the contemporaneous correlation, advanced related and lag of energy-flux density Correlation, when the exponential lag i that surges is small, the related coefficient of the two can reach peak value, and by significance test, that is, gush Wave needs i hours to propagate to region-of-interest from source；
    8th step calculates the attenuation rate of swell propagation process；
    The calculation method for energy attenuation rate of surging is as follows:
    In formula: dtFor surge can at a time t attenuation rate (unit: %), WPDtIt can be flowed for surging for the source a certain moment t Density (unit: kW/m), WPD(t-i)Energy-flux density of surging (unit: kW/m) after being lagged i hours for region-of-interest than source, i Value standard are as follows: when region-of-interest than source lag i it is small when, region-of-interest is related to the energy-flux density of surging in source Coefficient reaches peak value；
    9th step using wavelet analysis and is surged energy-flux density data, calculates region-of-interest, source is surged season of energy-flux density The interior period, it was demonstrated that there are general character for the Intraseasonal Oscillations feature in two regions；
    Tenth step calculates region-of-interest, energy-flux density is surged common in source using small echo is intersected and energy-flux density data of surging Phase difference on period, it was demonstrated that utilize the correctness in the propagation time of lead-lag relevant calculation；
    11st step repeats third to the tenth step, realizes the swell propagation signature analysis in each season.
  2. 2. monitoring and pre-alarming method of surging as described in claim 1, which is characterized in that swell propagation feature described in the 11st step Analysis includes the attenuation during source of surging, propagation path, propagation time and the swell propagation of region-of-interest.
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Publication number Priority date Publication date Assignee Title
CN114236644A (en) * 2022-02-28 2022-03-25 青岛杰瑞工控技术有限公司 Ship-sea coordination refined sea gas observation method for port
CN117095526A (en) * 2023-10-17 2023-11-21 海博泰科技(青岛)有限公司 Ship operation condition surge early warning method based on wave spectrum analysis

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Publication number Priority date Publication date Assignee Title
CN114236644A (en) * 2022-02-28 2022-03-25 青岛杰瑞工控技术有限公司 Ship-sea coordination refined sea gas observation method for port
CN117095526A (en) * 2023-10-17 2023-11-21 海博泰科技(青岛)有限公司 Ship operation condition surge early warning method based on wave spectrum analysis
CN117095526B (en) * 2023-10-17 2024-01-12 海博泰科技(青岛)有限公司 Ship operation condition surge early warning method based on wave spectrum analysis

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