CN116502394A - Evaluation method of seawater acidification control factors - Google Patents

Evaluation method of seawater acidification control factors Download PDF

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CN116502394A
CN116502394A CN202310130403.7A CN202310130403A CN116502394A CN 116502394 A CN116502394 A CN 116502394A CN 202310130403 A CN202310130403 A CN 202310130403A CN 116502394 A CN116502394 A CN 116502394A
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徐雪梅
王菊英
臧昆鹏
郑楠
赵化德
陈虹
韩建波
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National Marine Environmental Monitoring Center
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Abstract

The invention discloses a method for evaluating seawater acidification control factors, which comprises the following steps: acquiring data information; based on basic characteristics of the sea-carbon cycle at the edge of the land frame, primarily evaluating the quality of acquired data materials, analyzing the mutual matching between the data materials, and eliminating abnormal data; carding the types of main regulating factors of seawater acidification and constructing a preliminary evaluation model; comparing the sum of the magnitudes of the influences of different regulating factors with the actual sea water acidification variation, wherein the difference value of the sum and the actual sea water acidification variation is a residual item of the preliminary evaluation model, calculating deviation of the residual item characterization, and correcting and adjusting the preliminary evaluation result through comparison verification processing; comparing the magnitude of the influence of different regulating factors with the actual change of the seawater acidification, evaluating the proportion of the single factor on the influence of the seawater acidification, and further screening out the main regulating factors; the method can be widely applied to distinguishing and scientific evaluation of the land frame edge sea acidification control factors in China, and is helpful for prevention, control and comprehensive treatment of the land frame edge sea acidification in China.

Description

Evaluation method of seawater acidification control factors
Technical Field
The invention relates to the technical field of marine environment monitoring, in particular to a method for evaluating seawater acidification control factors.
Background
Marine acidification has become a third major ecological environmental problem affecting and threatening the development of human society. Under the combined actions of climate change, eutrophication and the like, the problem of acidification of the edge sea of the land frame in China is gradually highlighted in recent years, particularly the problem of acidification of yellow sea is quite prominent, and the process of acidification of sea water is far faster than that of ocean; so that the marine organisms are forced, the diversity of the ecological system is reduced, and the stability and the sustainability of the marine ecological system and the socioeconomic performance of China are threatened. Slowing down and adapting to ocean acidification is an internal requirement for realizing the key target of the national sustainable development agenda 2030 and is also an important task of the national climate change adaptation strategy 2035. However, the longitudinal span of the sea at the edge of the land frame in China is in a temperate zone, a subtropical zone and a tropical zone, the structural difference of an ecological system is remarkable, mesoscale phenomena such as vortex, internal wave, upflow and the like are remarkable, and the acidification of the sea water is influenced by elements such as complex physics (ocean current, mixing and the like), chemistry (precipitation, dissolution and the like) and biology (primary production, community respiration) so that the acidification of the sea water has remarkable time-space variability and the regulatory factors are not easy to distinguish. The scientific and accurate evaluation of the regulating factors of the edge sea acidification of the land frame in China is a key point for evaluating the current situation and the evolution trend of the edge sea acidification of the land frame in China so as to further prepare the prevention and treatment measures, and has very important research significance and application value.
At present, a qualitative analysis method based on correlation analysis of a large amount of sea actual measurement data is generally adopted for the evaluation of the seawater acidification control factors, the method relies on acquisition of a large amount of actual measurement data, is time-consuming, labor-consuming, high in cost and easy to be limited by factors such as sea condition conditions, and in addition, the qualitative analysis accuracy is limited, so that the requirements of the current ocean field on the seawater acidification development trend and the effective prevention and treatment quantitative evaluation in response to the climate change industry are difficult to meet. In addition, in recent years, a quantitative evaluation method based on a single factor can realize quantitative evaluation of the factor to a certain extent, such as quantitative evaluation of the influence of biological activity change on seawater acidification, but the factor and other regulatory factors are not clear from the scientific theory to have great uncertainty. Therefore, the quantitative evaluation method of the sea water acidification control factors is not available at present, the cooperative evaluation of different influence factors and the accurate screening of the main control factors cannot be realized, the current situation of the sea water acidification of the land frame edge and the development and evolution trend of the current situation are difficult to evaluate scientifically and accurately, and the prevention, control and comprehensive treatment of the sea water acidification of the land frame edge of China are limited.
In recent years, the marine time series observation technology is continuously developed, and observation data with the characteristics of regional representativeness, real-time property, long time sequence property and the like can be obtained, and the method has particular technical advantages in the fields of marine resource and environment investigation and the like. Therefore, by utilizing the ocean time sequence observation data, an efficient, scientific and full-utilization method for evaluating the sea acidification control factors at the edge of the land frame in China by utilizing the time sequence observation data is established, quantitative evaluation of the influence of different control factors on sea acidification, such as temperature, river input, biological activity, vertical mixing, sea-gas exchange and the like, and accurate extraction of the main control factors are realized, and the method has important effects on scientific evaluation of the current situation and development evolution trend of the sea acidification at the edge of the land frame in China, and can also provide important technical support for prevention, control and comprehensive treatment of the sea acidification at the edge of the land frame in China.
Disclosure of Invention
According to the problems existing in the prior art, the invention discloses a method for evaluating seawater acidification control factors, which specifically comprises the following steps:
acquiring time series data of seawater temperature, seawater salinity, seawater dissolved oxygen, sea surface/atmospheric carbon dioxide partial pressure, total seawater dissolved inorganic carbon and total seawater alkalinity;
based on basic characteristics of the sea-carbon cycle at the edge of the land frame, primarily evaluating the quality of acquired data materials, analyzing the mutual matching between the data materials, and eliminating abnormal data;
carding the types of main regulating factors of seawater acidification, constructing a preliminary evaluation model, taking data of seawater temperature, seawater salinity, seawater dissolved oxygen, pH, sea surface and atmospheric carbon dioxide partial pressure, total seawater dissolved inorganic carbon, total seawater alkalinity and aragonite saturation corresponding to the starting time as original characteristic data, and analyzing the influence of the changes of the regulating factors of seawater temperature, river input, biological activity, vertical mixing and seawater-gas exchange on seawater acidification according to the time passage;
comparing the sum of the magnitudes of the influences of different regulating factors with the actual sea water acidification variation, wherein the difference value of the sum and the actual sea water acidification variation is a residual item of the preliminary evaluation model, calculating the deviation of the characterization of the residual item, and correcting and adjusting the preliminary evaluation result through comparison and verification;
and comparing the magnitude of the influence of different regulating factors with the actual change of the seawater acidification, evaluating the proportion of the single factor on the influence of the seawater acidification, and further screening out the main regulating factors.
Further, the influence of biological activity on seawater acidification is analyzed by adopting the following algorithm:
wherein d Bio Ω Aragonite The influence of biological activity on seawater acidification;is sea water acidification characterization parameter omega Aragonite Magnitude of DIC i TAlk (al) i For the starting time t i The amount of total dissolved inorganic carbon and total alkalinity of the seawater; d, d Bio DIC i D Bio TAlk i The change value of the total dissolved inorganic carbon and the total alkalinity of the seawater caused by biological activity influence; t (T) i 、S i 、Ω Aragonite, i Respectively the starting time t i Characterization parameter omega of seawater temperature, salinity and acidification Aragonite Is a magnitude of (2); wherein:
DO in i DO i+1 Respectively the starting time t i And evaluation time t i+1 The dissolved oxygen content of the seawater; k (k) O2 DO is the oxygen transport coefficient sat,i For the starting time t i Is not limited, and is not limited.
Further, the influence of vertical mixing on seawater acidification is analyzed by adopting the following algorithm:
d Mix DIC i =((MLD i+1 -MLD i )÷(t i+1 -t i )+K Z ÷(MLD i+1 -MLD i ))×(DIC i,ss -DIC i )÷MLD i
d Mix TAlk i =((MLD i+1 -MLD i )÷(t i+1 -t i )+K Z ÷(MLD i+1 -MLD i ))×(TAlk i,ss -TAlk i )÷MLD i
d in Mix Ω Aragonite The effect of vertical mixing on the acidification of seawater; d, d Mix DIC i D MIix TAlk i The magnitude of the change in DIC and TAlk for seawater resulting from vertical mixing; MLD (Multi-layer disc) i MLD i+1 Respectively the starting time t i And evaluation time t i+1 Depth of mixed layer, K z DIC for mixed layer vertical diffusivity i,ss 、TAlk i,ss For the starting time t i Magnitude of subsurface seawater DIC, TAlk.
Further, the influence of sea-gas exchange on sea water acidification is analyzed by adopting the following algorithm:
d AS DIC i =Flux i ×(t i+1 -t i )÷(MLD i ×ρ i )
d in AS Ω Aragonite The influence of sea-gas exchange on sea water acidification; d, d As DIC i The amount of change in the seawater DIC resulting from sea-gas exchange; flux (Flux) i For the starting time t i Seawater absorption of atmospheric CO 2 Is a measure of (2); ρ i For the starting time t i Is a seawater density of the sea water.
By adopting the technical scheme, the method for evaluating the seawater acidification control factor provided by the invention adopts time series observation data, has the characteristics of regional representativeness, real-time property, long time sequence property and the like, can realize the evaluation of the seawater acidification control factor at the edge of the land frame in China with high efficiency and low cost, and overcomes the limitation that the traditional method needs to rely on a large amount of actual measurement data at sea and the like. In addition, the invention classifies different modulating and controlling factors of sea water acidification based on basic characteristics of sea carbon circulation at the edge of the land frame in China, enhances the characteristic expression capability of different modulating and controlling factor processes, can scientifically and quantitatively evaluate the influence of different modulating and controlling factors, accurately extracts the main control factors, remarkably improves the accuracy compared with the traditional correlation qualitative analysis method or single factor quantitative evaluation method, can be widely applied to the distinguishing and scientific evaluation of the modulating and controlling factors of sea acidification at the edge of the land frame in China, and is beneficial to the prevention, control and comprehensive treatment of sea acidification at the edge of the land frame in China.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the method of the present invention
Detailed Description
In order to make the technical scheme and advantages of the present invention more clear, the technical scheme in the embodiment of the present invention is clearly and completely described below with reference to the accompanying drawings in the embodiment of the present invention:
the method for evaluating the seawater acidification control factors shown in fig. 1 specifically comprises the following steps:
s1, acquiring data of seawater temperature, seawater salinity, seawater dissolved oxygen, sea surface and atmospheric carbon dioxide partial pressure, total seawater dissolved inorganic carbon, total seawater alkalinity and the like by on-site investigation or data collection.
S2, primarily evaluating the quality of acquired data based on basic characteristics of the sea carbon circulation at the edge of the land frame in China; in addition, mutual matching among acquired data is further analyzed based on the seawater carbon cycle mutual calculation software CO2SYS, abnormal data are removed, and scientificity of the data is ensured.
S3, combing the types of main seawater acidification regulating factors according to the basic characteristics of the sea carbon circulation at the edge of the land frame in China, and constructing an evaluation index, namely the seawater acidification variable quantity, namely dΩ Aragonite The influence of the changes of different regulatory factors including sea water temperature, river input, biological activity, vertical mixing, sea-air exchange, etc. on sea water acidification is respectively denoted as d T Ω Aragonite 、d S Ω Aragonite 、d Bio Ω Aragonite 、d Mix Ω Aragonite 、d As Ω Aragonite The residual term of the evaluation model is denoted as d Non Ω Aragonite
S4, setting the starting time (t) i ) The respective parameters corresponding to this moment are the temperature (T i ) Salinity (S) i ) Total alkalinity (TAlk) i ) Total ofDissolved Inorganic Carbon (DIC) i ) Dissolved Oxygen (DO) i ) Partial pressure of seawater carbon dioxide (pCO) 2,i ) The method comprises the steps of carrying out a first treatment on the surface of the Evaluation time (t) i+1 ) Corresponding parameters are respectively T i+1 、S i+1 、TAlk i+1 、DIC i+1 、DO i+1 、pCO 2,i+1 Thus, a one-dimensional model was constructed to evaluate the amount of change in seawater acidification:
aragonite =d T Ω Aragonite +d S Ω Aragonite +d Bio Ω Aragonite +d Mix Ω Aragonite +d As Ω Aragonite +d Non Ω Aragonite
And S5, comparing the sum of the values of the influences of different control factors with the actual sea water acidification variation, wherein the difference value of the sum and the actual sea water acidification variation is a residual item of an evaluation model to represent the influence of other unpredictable influence factors, calculate deviation and the like, and correcting and adjusting the initial evaluation result through comparison verification.
S6, comparing the magnitude of the influence of different regulating factors with the actual change of the seawater acidification, evaluating the proportion of the single factor on the influence of the seawater acidification, and further screening out the main regulating factors.
Examples:
firstly, acquiring conventional environmental parameter data and carbon cycle key parameter data of sea water in an estimated sea area; based on basic characteristics of sea carbon circulation at the edge of a land frame in China and CO2SYS of sea carbon circulation mutual calculation software, the data quality is evaluated, and the scientificity of the data is ensured; evaluation index omega for determining seawater acidification Aragonite The change in acidification of seawater was noted as dΩ Aragonite The influence of the changes of sea water temperature, river input, biological activity, vertical mixing, sea-gas exchange, etc. on the acidification of sea water is respectively denoted as d T Ω Aragonite 、d S Ω Aragonite 、d Bio Ω Aragonite 、d Mix Ω Aragonite 、d As Ω Aragonite Evaluating model residual d Non Ω Aragonite . Setting the start time of the time series data as i, at time t i Corresponding parameters are respectively T i 、S i 、TAlk i 、DIC i 、DO i 、pCO 2,i 、Ω Aragonite, i And at the next time t i+1 Respectively correspond to T i+1 、S i+1 、TAlk i+1 、DIC i+1 、DO i+1 、pCO 2,i+1 、Ω Aragonite, i+1 Constructing a one-dimensional model to evaluate the change amount of seawater acidification:
aragonite =d T Ω Aragonite +d S Ω Aragonite +d Bio Ω Aragonite +d Mix Ω Aragonite +d As Ω Aragonite +d Non Ω Aragonite (1)
1. Evaluation of the Effect of seawater temperature variation on seawater acidification (d T Ω Aragonite ):
In the middle ofIs based on seawater carbon circulation mutual calculation software CO2SYS (wherein the assumption that dissolved calcium and salinity are in a direct proportion relationship, offshore and ocean are consistent and the like) and seawater DIC, TAlk, T, S and other parameters are applied to calculate seawater omega Aragonite The same applies below. The ionization constant of carbonic acid when calculated by the seawater carbon cycle intercommunicating software CO2SYS is selected from the values of Millero et al (2006), the ionization constant Dickson (1990) of sulfuric acid, and the saturation solubility product of calcium carbonate is selected from the values of Mucci et al (1983), and the concentrations of silicate and phosphate are set to zero by default. Omega shape Aragonite, i For the starting time t i Sea water acidification characterization parameter omega Aragonite Is a magnitude of (2).
2. Evaluation of the Effect of seawater salinity changes on seawater acidification (d S Ω Aragonite ):
3. Evaluation of the Effect of biological Activity on seawater acidification (d Bio Ω Aragonite ):
D in Bio DIC i D Bio TAlk i The magnitude of the change in DIC and TAlk for seawater caused by biological activity effects:
k in O2 Is oxygen O 2 DO, DO sat For the starting time (t i ) Is not limited, and is not limited.
4. Evaluation of the Effect of vertical mixing on seawater acidification (d Mix Ω Aragonite ):
d Mix DIC i =((MLD i+1 -MLD i )÷(t i+1 -t i )+K Z ÷(MLD i+1 -MLD i ))×(DIC i,ss -DIC i )÷MLD i (8)
d Mix TAlk i =((MLD i+1 -MLD i )÷(t i+1 -t i )+K Z ÷(MLD i+1 -MLD i ))×(TAlk i,ss -TAlk i )÷MLD i (9)
D in Mix DIC i D MIix TAlk i The magnitude of the change in DIC and TAlk for seawater resulting from vertical mixing; MLD (Multi-layer disc) i MLD i+1 Respectively are provided withFor the starting time (t i ) And the evaluation time (t i+1 ) Depth of mixed layer, K z DIC for mixed layer vertical diffusivity i,ss 、TAlk i,ss For the starting time (t i ) Magnitude of subsurface seawater DIC, TAlk.
5. Evaluation of the Effect of sea-gas exchange on sea water acidification (d AS Ω Aragonite ):
d AS DIC i =Flux i ×(t i+1 -t i )÷(MLD i ×ρ i ) (11)
D in As DIC i The amount of change in the seawater DIC resulting from sea-gas exchange; ρ i For the starting time (t i ) Is a seawater density of the sea water.
6. The proportion calculation of the influence of different regulating factors on the seawater acidification takes the proportion calculation of the influence of temperature change on the seawater acidification as an example:
d T Ω aragonite /dΩ Aragonite ×100% (12)
7. Screening of Master control factors
And sequentially calculating and comparing the influence proportion of the change of the regulating factors such as seawater temperature, river input, biological activity, vertical mixing, sea-gas exchange and the like on seawater acidification, and extracting the main control factor.
Examples
Based on the actual observation data of a yellow sea time series station (38.7 degrees in North latitude and 122.2 degrees in east longitude), the result obtained by using the traditional correlation analysis method is that the sea water temperature change is the main control factor of sea water acidification in the sea area except 2 months in the whole year; based on the quantitative evaluation of the seawater acidification control factors by the method, the result shows that the biological activity in spring and the vertical mixing effect in autumn are strong, the influence of the temperature change of seawater is exceeded, the seawater acidification control factors become master control factors, and the conclusion is more scientific and accurate as shown in the table 1. Therefore, the method provided by the invention can be used for more scientifically and efficiently evaluating the influence of different seawater acidification regulatory factors and accurately extracting the main control factors.
TABLE 1 evaluation results of seawater acidification control factors for yellow sea time series stops (North latitude 38.7 degrees and east longitude 122.2 degrees)
The invention adopts time series observation data, has the characteristics of regional representativeness, real-time performance, long time sequence performance and the like, can realize the evaluation of the sea acidification control factors at the edge of the land frame in China with high efficiency and low cost, and overcomes the limitation that the traditional method needs to rely on a large amount of sea actual measurement data and the like.
The invention classifies different modulating factors of sea water acidification based on basic characteristics of sea carbon circulation at the edge of a land frame in China, enhances the characteristic expression capability of different modulating factor processes, can scientifically and quantitatively evaluate the influence of different modulating factors, accurately extracts the main control factors, and remarkably improves the accuracy compared with the traditional correlation qualitative analysis method or single factor quantitative evaluation method.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.

Claims (4)

1. A method for evaluating seawater acidification control factors, comprising the steps of:
acquiring time series data of seawater temperature, seawater salinity, seawater dissolved oxygen, sea surface/atmospheric carbon dioxide partial pressure, total seawater dissolved inorganic carbon and total seawater alkalinity;
based on basic characteristics of the sea-carbon cycle at the edge of the land frame, primarily evaluating the quality of acquired data materials, analyzing the mutual matching between the data materials, and eliminating abnormal data;
carding the types of main regulating factors of seawater acidification, constructing a preliminary evaluation model, taking data of seawater temperature, seawater salinity, seawater dissolved oxygen, sea surface and atmospheric carbon dioxide partial pressure, total seawater dissolved inorganic carbon, total seawater alkalinity and aragonite saturation corresponding to the starting time as original characteristic data, and analyzing the influence of the changes of the regulating factors of seawater temperature, river input, biological activity, vertical mixing and seawater-gas exchange on seawater acidification according to the time passage;
comparing the sum of the magnitudes of the influences of different regulating factors with the actual sea water acidification variation, wherein the difference value of the sum and the actual sea water acidification variation is a residual item of the preliminary evaluation model, calculating the deviation of the characterization of the residual item, and correcting and adjusting the preliminary evaluation result through comparison and verification;
and comparing the magnitude of the influence of different regulating factors with the actual change of the seawater acidification, evaluating the proportion of the single factor on the influence of the seawater acidification, and further screening out the main regulating factors.
2. The method for evaluating a seawater acidification regulator according to claim 1, wherein: the following algorithm is used for analyzing the influence of biological activity on seawater acidification:
wherein d Bio Ω Aragonite The influence of biological activity on seawater acidification;is sea water acidification characterization parameter omega Aragonite Magnitude of DIC i TAlk (al) i For the starting time t i The amount of total dissolved inorganic carbon and total alkalinity of the seawater; d, d Bio DIC i D Bio TAlk i The change value of the total dissolved inorganic carbon and the total alkalinity of the seawater caused by biological activity influence; t (T) i 、S i 、Ω Aragonite, i Respectively the starting time t i Sea water temperature, salinityCharacterization parameters of acidification Ω Aragonite Is a magnitude of (2); wherein:
DO in i DO i+1 Respectively the starting time t i And evaluation time t i+1 The dissolved oxygen content of the seawater; k (k) O2 DO is the oxygen transport coefficient sat,i For the starting time t i Is not limited, and is not limited.
3. The method for evaluating a seawater acidification regulator according to claim 1, wherein: the effect of vertical mixing on seawater acidification was analyzed using the following algorithm:
d Mix DIC i =((MLD i+1 -MLD i )÷(t i+1 -t i )+K Z ÷(MLD i+1 -MLD i ))×(DIC i,ss -DIC i )÷MLD i
d Mix TAlk i =((MLD i+1 -MLD i )÷(t i+1 -t i )+K Z ÷(MLD i+1 -MLD i ))×(TAlk i,ss -TAlk i )÷MLD i
d in Mix Ω Aragonite The effect of vertical mixing on the acidification of seawater; d, d Mix DIC i D MIix TAlk i The magnitude of the change in DIC and TAlk for seawater resulting from vertical mixing; MLD (Multi-layer disc) i MLD i+1 Respectively the starting time t i And evaluation time t i+1 Depth of mixed layer, K z DIC for mixed layer vertical diffusivity i,ss 、TAlk i,ss For the starting time t i Magnitude of subsurface seawater DIC, TAlk.
4. The method for evaluating a seawater acidification regulator according to claim 1, wherein: the influence of sea-gas exchange on sea water acidification is analyzed by adopting the following algorithm:
d AS DIC i =Flux i ×(t i+1 -t i )÷(MLD i ×ρ i )
d in AS Ω Aragonite The influence of sea-gas exchange on sea water acidification; d, d As DIC i The amount of change in the seawater DIC resulting from sea-gas exchange; flux (Flux) i For the starting time t i Seawater absorption of atmospheric CO 2 Is a measure of (2); ρ i For the starting time t i Is a seawater density of the sea water.
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赵化德: "河流冲淡水CO2动态变化及其对陆架海区CO2源汇格局的影响:观测与模拟", 《中国博士学位论文全文数据库(电子期刊)工程科技Ⅰ辑》 *

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CN117253344A (en) * 2023-09-27 2023-12-19 南方海洋科学与工程广东省实验室(珠海) Seawater acidification early warning and forecasting method, system and electronic equipment
CN117253344B (en) * 2023-09-27 2024-08-30 南方海洋科学与工程广东省实验室(珠海) Seawater acidification early warning and forecasting method, system and electronic equipment

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