Method for evaluating ecological effect intensity of summer typhoon on ocean upper layer

Abstract

The invention is suitable for the technical field of typhoon intensity evaluation, and provides a method for evaluating ecological effect intensity of a summer typhoon on an ocean upper layer. The method comprises the following steps of: obtaining dynamic change information of response typhoon of upper-layer ecological factors of the ocean, which is obtained by ocean multi-dimensional stereoscopic observation modes such as satellite remote sensing, aerial remote sensing, various buoys, shore-based observation, underway observation, field sampling and the like; the ecological influence intensity of typhoon on the response sea area through chlorophyll a is evaluated by calculating the cumulative change of the concentration of chlorophyll a in a mixed layer during the typhoon transit period and at most 8 days after the typhoon transit period, and the ecological phenomena such as regional algae bloom and fish school aggregation caused by short-term increase of the primary productivity of the upper layer of the sea are explained. The method can provide an evaluation industry decision basis for the aspects of marine ranch management in the Chinese coastal typhoon season, high-quality development of the deep and far sea fishery industry, marine ecological disaster control, marine ecological restoration and protection and the like, and is also a specific direction of marine big data fusion and application.

Description

Technical Field

[0001] The invention belongs to the technical field of typhoon intensity assessment, and in particular relates to a method for assessing the intensity of ecological effects of summer typhoons on the upper ocean. Background Art

[0002] As a catastrophic weather system with powerful destructive power, typhoons bring disaster risks such as strong winds, heavy rains and storm surges, but they also bring abundant precipitation and increase in primary productivity in the upper ocean. Affected by factors such as the typhoon generation season, intensity, movement speed, and path environment, the violent dynamic and thermodynamic effects driven by typhoons in the upper ocean often cause complex response processes such as lower regional sea surface temperature, deeper mixed layer, increased phytoplankton density, increased primary productivity, and the aggregation of marine biological resources.

[0003] Domestic and foreign scholars have mainly focused on the dynamic process in their analysis and estimation of the intensity of typhoon's impact on the transit area, emphasizing the dynamic inputs such as strong wind stress forcing and Ekman suction when the typhoon passes through. However, there is a lack of systematic estimation methods for the ecological effects such as the amplitude and area of ​​the decrease in upper ocean temperature, the deepening of the mixed layer, the marine algal blooms formed by the proliferation of phytoplankton, and the increase in primary productivity caused by the typhoon's dynamic process. Summary of the invention

[0004] The purpose of the embodiment of the present invention is to provide a method for evaluating the intensity of the ecological effect of summer typhoons in the upper ocean, aiming to solve the problems raised in the above-mentioned background technology.

[0005] The embodiment of the present invention is implemented as follows: a method for evaluating the intensity of the ecological effect of a summer typhoon in the upper ocean, comprising the following steps:

[0006] Step 1: Obtain the daily sea surface temperature data for the three days before the typhoon passes through the study area and take the average value, which is recorded as

[0007] Step 2: Obtain the daily mixed layer depth data for the three days before the typhoon passes through the study area and take the average value, which is recorded as

[0008] Step 3: Obtain the daily chlorophyll a concentration data for the three days before the typhoon passes through the study area and take the average value, which is recorded as

[0009] Step 4: Obtain daily sea surface temperature data during and after the typhoon passes through the study area, recorded as SST i , where the day of transit is recorded as SST1, and the following days are recorded as SST2, SST3, …, SST n ;

[0010] Step 5: Obtain daily mixed layer depth data during and after the typhoon passes through the study area, denoted as D i , where the day of transit is recorded as D1, and the following days are recorded as D2, D3, ..., D n ;

[0011] Step 6: Obtain daily chlorophyll a concentration data during and after the typhoon passes through the study area, denoted as Chl_a i , where the day of transit is recorded as Chl_a1, and the following days are recorded as Chl_a2, Chl_a3, ..., Chl_a n ;

[0012] Step 7: Calculate the magnitude of the cooling of the sea surface temperature in response to the typhoon during and after the typhoon passes through the study area, recorded as ΔT i , the calculation formula is as follows:

[0013]

[0014] Step 8. Duration i is the number of days during and after the typhoon passes through the study area when the sea surface temperature drops by more than 2°C in response to the typhoon, that is, ΔT i When ≥2℃, the maximum value of i is n; if ΔT i If the temperature is always less than 2℃, the value of i is 0; the value range of i is {0,1,2,3,4,5,6,7,8,9};

[0015] Step 9: During and after the typhoon passes through the study area, the daily area where the sea surface temperature cools down by more than 2°C in response to the typhoon is recorded as A. i , where the day of transit is recorded as A1, which can be calculated by the pixel resolution of remote sensing images; A i The maximum value is denoted as A max ; If i is 0, the temperature drop response (ΔT i The area where the temperature reaches 1°C is A max ;

[0016] Step 10: When performing matrix operations, based on the resolution of the SST data, the resolution of the mixed layer depth data and the daily chlorophyll a concentration data is adjusted, and the effective value interpolation operation is performed (the default value does not perform assignment and interpolation operations) to achieve data operations;

[0017] Step 11: Use the following formula to evaluate the ecological effect intensity index TEI of summer typhoons in the upper ocean:

[0018]

[0019] Step 12: Analyze the calculation results and evaluate the ecological effect index of summer and autumn typhoons on the upper ocean. The larger the TEI index is, the more significant the ecological effect of summer typhoons on the upper ocean is.

[0020] According to a further technical solution, the daily sea surface temperature data in step 1 and step 4 can be obtained from satellite remote sensing data, ocean environment buoys, Argo buoys and field sampling or fusion data.

[0021] As a further technical solution, the daily seawater mixed layer depth data in step 2 and step 5 can be provided by the grid product of the global ocean Copernicus marine environment monitoring service or by the in-situ data measured by Argo buoys, field sampling, cruise observations, etc.

[0022] As a further technical solution, the daily chlorophyll a concentration data in step 1 and step 6 can be obtained from satellite remote sensing data or from in-situ data provided by biological Argo floats, on-site sampling, cruise observations, etc.

[0023] The embodiment of the present invention provides a method for evaluating the intensity of the ecological effect of summer typhoons in the upper ocean. It relies on the dynamic change information of the upper ocean ecological factors responding to typhoons obtained by multi-dimensional and stereoscopic ocean observation methods such as satellite remote sensing, aerial remote sensing, various buoys, shore-based observations, cruise observations, and field sampling. From the perspective of ecological effects, the cumulative change of chlorophyll a concentration in the mixed layer during the typhoon transit and up to 8 days thereafter is calculated to evaluate the ecological impact intensity of the typhoon on the response sea area through chlorophyll a, and explain the ecological phenomena such as regional algal blooms and fish aggregation caused by the short-term increase in primary productivity in the upper ocean. This method can provide an assessment industry decision-making basis for the management of marine ranches and the high-quality development of deep-sea fishery industries in the typhoon season along the coast of China, as well as the management of marine ecological disasters, marine ecological restoration and protection, etc. It is also a specific direction for the integration and application of marine big data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flow chart of a method for evaluating the intensity of the ecological effect of a summer typhoon in the upper ocean provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0026] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0027] like Figure 1As shown, a method for evaluating the intensity of the ecological effect of a summer typhoon on the upper ocean provided by an embodiment of the present invention comprises the following steps:

[0028] Step 1: Obtain the daily sea surface temperature data for the three days before the typhoon passes through the study area and take the average value, which is recorded as

[0029] Step 2: Obtain the daily mixed layer depth data for the three days before the typhoon passes through the study area and take the average value, which is recorded as

[0030] Step 3: Obtain the daily chlorophyll a concentration data for the three days before the typhoon passes through the study area and take the average value, which is recorded as

[0031] Step 4: Obtain daily sea surface temperature data during and after the typhoon passes through the study area, recorded as SST i , where the day of transit is recorded as SST1, and the following days are recorded as SST2, SST3, …, SST n ;

[0032] Step 5: Obtain daily mixed layer depth data during and after the typhoon passes through the study area, denoted as D i , where the day of transit is recorded as D1, and the following days are recorded as D2, D3, ..., D n ;

[0033] Step 6: Obtain daily chlorophyll a concentration data during and after the typhoon passes through the study area, denoted as Chl_a i , where the day of transit is recorded as Chl_a1, and the following days are recorded as Chl_a2, Chl_a3, ..., Chl_a n ;

[0034] Step 7: Calculate the magnitude of the cooling of the sea surface temperature in response to the typhoon during and after the typhoon passes through the study area, recorded as ΔT i , the calculation formula is as follows:

[0035]

[0036] Step 8. Duration i is the number of days during and after the typhoon passes through the study area when the sea surface temperature drops by more than 2°C in response to the typhoon, that is, ΔT i When ≥2℃, the maximum value of i is n; if ΔT i If the temperature is always less than 2℃, the value of i is 0; the value range of i is {0,1,2,3,4,5,6,7,8,9};

[0037] Step 9: During and after the typhoon passes through the study area, the daily area where the sea surface temperature cools down by more than 2°C in response to the typhoon is recorded as A. i , where the day of transit is recorded as A1, which can be calculated by the pixel resolution of remote sensing images; A i The maximum value is denoted as A max ; If i is 0, the temperature drop response (ΔT i The area where the temperature reaches 1°C is A max ;

[0038] Step 10: When performing matrix operations, based on the resolution of the SST data, the resolution of the mixed layer depth data and the daily chlorophyll a concentration data is adjusted, and the effective value interpolation operation is performed (the default value does not perform assignment and interpolation operations) to achieve data operations;

[0039] Step 11: Use the following formula to evaluate the ecological effect intensity index TEI of summer typhoons in the upper ocean:

[0040]

[0041] Step 12: Analyze the calculation results and evaluate the ecological effect index of summer and autumn typhoons on the upper ocean. The larger the TEI index is, the more significant the ecological effect of summer typhoons on the upper ocean is.

[0042] As a preferred embodiment of the present invention, the daily sea surface temperature data in step 1 and step 4 can be obtained from satellite remote sensing data, ocean environment buoys, Argo buoys and field sampling or fusion data.

[0043] As a preferred embodiment of the present invention, the daily seawater mixed layer depth data in step 2 and step 5 can be provided by the grid product of the Global Ocean Copernicus Ocean Environment Monitoring Service or by the in-situ data measured by Argo buoys, field sampling, cruise observations, etc.

[0044] As a preferred embodiment of the present invention, the daily chlorophyll a concentration data in step 1 and step 6 can be obtained from satellite remote sensing data or in-situ data provided by biological Argo floats, on-site sampling, cruise observation, etc.

[0045] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the intensity of the ecological effect of summer typhoons in the upper ocean, characterized in that: The following steps are involved: Step 1: Obtain the daily sea surface temperature data for the three days before the typhoon passes through the study area and take the average value, which is recorded as Step 2: Obtain the daily mixed layer depth data for the three days before the typhoon passes through the study area and take the average value, which is recorded as Step 3: Obtain the daily chlorophyll a concentration data for the three days before the typhoon passes through the study area and take the average value, which is recorded as Step 4: Obtain daily sea surface temperature data during and after the typhoon passes through the study area, recorded as SST i , where the day of transit is recorded as SST1, and the following days are recorded as SST2, SST3, …, SST n ; Step 5: Obtain daily mixed layer depth data during and after the typhoon passes through the study area, denoted as D i , where the day of transit is recorded as D1, and the following days are recorded as D2, D3, ..., D n ; Step 6: Obtain daily chlorophyll a concentration data during and after the typhoon passes through the study area, denoted as Chl_a i , where the day of transit is recorded as Chl_a1, and the following days are recorded as Chl_a2, Chl_a3, ..., Chl_a n ; Step 7: Calculate the magnitude of the cooling of the sea surface temperature in response to the typhoon during and after the typhoon passes through the study area, recorded as ΔT i , the calculation formula is as follows: Step 8. Duration i is the number of days during and after the typhoon passes through the study area when the sea surface temperature drops by more than 2°C in response to the typhoon, that is, ΔT i When ≥2℃, the maximum value of i is n; if ΔT i If the temperature is always less than 2℃, the value of i is 0; the value range of i is {0,1,2,3,4,5,6,7,8,9}; Step 9: During and after the typhoon passes through the study area, the daily area where the sea surface temperature cools down by more than 2°C in response to the typhoon is recorded as A. i , where the day of transit is recorded as A1 and is calculated by the pixel resolution of the remote sensing image; A i The maximum value is denoted as A max ; If i is 0, the area where the temperature drops on the typhoon path is A max ; Step 10: When performing matrix operations, based on the resolution of the SST data, the resolution of the mixed layer depth data and the daily chlorophyll a concentration data is adjusted to perform effective value interpolation operations; Step 11: Use the following formula to evaluate the ecological effect intensity index TEI of summer typhoons in the upper ocean: Step 12: Analyze the calculation results and evaluate the ecological effect index of summer and autumn typhoons on the upper ocean. The larger the TEI index is, the more significant the ecological effect of summer typhoons on the upper ocean is.

2. The method for evaluating the intensity of the ecological effect of summer typhoons in the upper ocean according to claim 1, characterized in that: The daily sea surface temperature data in step 1 and step 4 are obtained from satellite remote sensing data, ocean environment buoys, Argo buoys, field sampling or fusion data.

3. The method for evaluating the intensity of the ecological effect of summer typhoons in the upper ocean according to claim 1, characterized in that: The daily seawater mixed layer depth data in step 2 and step 5 are provided by the grid products of the Copernicus Global Ocean Environment Monitoring Service, or by Argo buoys, field sampling and cruise observations to provide measured in-situ data.

4. The method for evaluating the intensity of the ecological effect of summer typhoons in the upper ocean according to claim 1, characterized in that: The daily chlorophyll a concentration data in step 1 and step 6 are obtained from satellite remote sensing data, or are in-situ data measured by biological Argo floats, on-site sampling, and cruise observations.

Images