A method for predicting lateral carbon transport in coastal wetlands

Abstract

The present invention relates to the field of marine ecological technology, and specifically to a method for predicting lateral carbon transport in coastal wetlands. The method comprises: collecting water samples from the coastal wetland and collecting yellow leaves from plants in the coastal wetland; processing and measuring the collected water samples and yellow leaves to obtain processing and measurement results; obtaining a prediction result of carbon transport increment based on the processing and measurement results and a pre-established mixing model; obtaining the carbon transport amount of each component of the coastal wetland based on the predicted carbon transport increment and a pre-established isotope mixing model; and calculating the total carbon transport amount based on the carbon transport amount of each component of the coastal wetland. The present invention can improve understanding of the contribution of coastal wetlands to marine carbon sinks.

Description

Technical Field

[0001] The present invention relates to the field of marine ecological technology, and in particular to a method for predicting lateral carbon transfer in coastal wetlands. Background Art

[0002] Coastal wetlands, located at the interface between land and sea, derive their carbon from both endogenous sources (such as litterfall) and exogenous sources (such as carbon input from rivers and the ocean). Tidal action transports carbon from coastal wetlands laterally to the offshore shore via tidal channels, making it a crucial component of the marine carbon sink. The exported dissolved inorganic carbon, carbonates and bicarbonates, are important components of total alkalinity and can also buffer ocean acidification. While research on vertical carbon burial and plant-atmosphere carbon exchange in coastal wetlands is relatively mature, methods for predicting lateral carbon transport in coastal wetlands are lacking.

[0003] Existing studies believe that coastal wetland carbon sinks only include sediment carbon burial and plant carbon sinks, ignoring the lateral carbon transfer in coastal wetlands and underestimating coastal wetland carbon sinks. Summary of the Invention

[0004] In response to the problem of lack of prediction of lateral carbon transport in coastal wetlands in the existing technology, the present invention provides a method for predicting lateral carbon transport in coastal wetlands. The method takes into account the characteristics of endogenous and exogenous carbon contributions in coastal wetlands and the effect of tides on carbon transport. It combines dissolved carbon and particulate carbon concentrations with stable carbon isotopes to predict the amount of lateral carbon transport in coastal wetlands, which can improve the understanding of the contribution of coastal wetlands to marine carbon sinks.

[0005] To achieve the above objectives, the present invention provides the following technical solutions:

[0006] A method for predicting lateral carbon transport in coastal wetlands comprises the following steps:

[0007] Collecting water samples from coastal wetlands and collecting yellow leaves of plants in coastal wetlands, wherein the water samples include water samples from offshore and upstream rivers;

[0008] Processing and measuring the collected water samples and yellow leaves to obtain processing and measurement results, wherein the processing and measurement results include carbon concentrations of various components, their stable isotopes, and electrical conductivity at sampling sections of offshore and upstream rivers;

[0009] Obtaining a prediction result of carbon transport increment based on the processing and measurement results and a pre-established hybrid model, wherein the prediction result of carbon transport increment includes predicting the carbon transport increment of each component of the coastal wetland;

[0010] According to the prediction results of the carbon transport increment and the pre-established isotope mixing model, the carbon transport amount of each component of the coastal wetland is obtained, and the total carbon transport amount is calculated based on the carbon transport amount of each component of the coastal wetland.

[0011] The above-mentioned method for predicting lateral carbon transfer in coastal wetlands further includes collecting water samples from the coastal wetlands and collecting yellow leaves of plants in the coastal wetlands, specifically including:

[0012] Water samples were collected from the nearshore end of the tidal ditch in the coastal wetland, the upstream river, and the nearshore area far from the coastal wetland. Sampling was conducted every hour for 24 consecutive hours at the nearshore end of the tidal ditch in the coastal wetland. The pH and conductivity of the water body were monitored during sampling. Glass bottles burned at 450 degrees were used to collect water samples for measuring dissolved carbon. A small amount of mercuric chloride was added to water samples for measuring dissolved inorganic carbon. 85% concentrated phosphoric acid was added to water samples for measuring dissolved organic carbon until the pH was 2. After mixing, the bottle caps were tightened and sealed. Plastic barrels were used to collect water samples for measuring particulate carbon, and sealed bags were used to collect yellow leaves of coastal wetland plants.

[0013] The above-mentioned method for predicting lateral carbon transport in coastal wetlands further includes processing and measuring the collected water samples, specifically comprising:

[0014] For water samples collected in glass bottles, the concentrations of dissolved organic carbon, dissolved inorganic carbon, and stable carbon isotopes were measured after filtering with GF / F filter paper. For water samples collected in plastic barrels, the concentrations of dissolved organic carbon, dissolved inorganic carbon, and stable carbon isotopes were measured after filtering with GF / F filter paper. The samples collected with filter paper were dried at 60 degrees to constant weight, and the particulate carbon content and stable carbon isotopes were measured. The weight of the filter paper was recorded. f and the dry weight W after drying the filter paper with the sample d , collect the volume V of water sample in a plastic bucket, crush the yellow leaves, dry them at 60 degrees to constant weight, and then measure the stable carbon isotope.

[0015] The above-mentioned method for predicting lateral carbon transport in coastal wetlands further processes and measures the results, specifically including:

[0016] Carbon concentrations and stable isotopes of various components in the coastal and upstream river sampling sections, including:

[0017] The concentration of dissolved organic carbon (C) was measured after collecting water samples in glass bottles and filtering. DOC and stable carbon isotopes δ 13 C DOC , the concentration of dissolved inorganic carbon C DIC and stable carbon isotopes δ 13 C DIC , collect water samples in plastic buckets and filter them, and calculate the particle carbon concentration C of the water sample after the filter paper sample is dried. PC and stable carbon isotopes δ 13 C PC , yellow leaves were crushed and dried and the stable carbon isotope δ 13 C CW , water sample particulate carbon concentration C PC for:

[0018]

[0019] Where C PC is the concentration of particulate carbon in water sample (g / L), PC% is the carbon content of particles on filter paper, W d is the dry weight (g) of the filter paper with the sample after drying, W f is the weight of the filter paper (g), and V is the volume of the water sample collected in the plastic bucket (liter).

[0020] The above-mentioned method for predicting lateral carbon transport in coastal wetlands further includes obtaining a prediction result of carbon transport increment based on the processing and measurement results and the pre-established hybrid model, specifically including:

[0021] According to the law of conservation of matter, a mixing model was established using the measured carbon concentrations and electrical conductivity of each component at the offshore and upstream river sampling sections to predict the carbon transport increment of coastal wetland component j at time i:

[0022]

[0023] Where C TCij is the carbon transport increment of the jth component of the coastal wetland at time i (g / L), C USj is the carbon concentration of component j in the upstream river water sample (g / L), C NSj is the carbon concentration of component j in the coastal water sample far from the coastal wetland (g / L), CD TCi is the water conductivity (mS / cm) observed at the offshore end of the tidal channel in the coastal wetland at time i, CD NS The conductivity of nearshore water samples far from coastal wetlands (mS / cm).

[0024] The above-mentioned method for predicting lateral carbon transport in coastal wetlands further comprises: obtaining the carbon transport amount of each component of the coastal wetland based on the predicted results of carbon transport increment and a pre-established isotope mixing model; and calculating the total carbon transport amount based on the carbon transport amount of each component of the coastal wetland, which specifically includes:

[0025] The predicted C TCij , the carbon concentrations and stable isotopes of each component of the nearshore water samples, δ 13 C CW An isotope mixing model was established with electrical conductivity to predict the carbon transfer of each component in the water sample at time i. The average of the carbon transfer at each time was taken to obtain the carbon transfer of each component in the coastal wetland, and the total carbon transfer of the coastal wetland was obtained by summing the carbon transfer of each component.

[0026] In specific implementation, according to the isotope mixing model, the stable isotope δ of carbon transport of the jth component in the coastal wetland at time i is calculated by formula (3): 13 C TCij :

[0027] [(C NSj -C USj )×CD TCi +C USj ×CD NS ]×δ 13 C TCij =(C NSj ×δ 13 C NSj -C USj ×δ 13 C USj )×CD TCi +C USj ×δ 13 C USj ×CD NS (3)

[0028] Where, δ 13 C TCij is the stable isotope of carbon transported by the jth component of the coastal wetland at time i (‰), δ 13 C NSi is the stable carbon isotope of component j in the coastal water sample far from the coastal wetland (‰), δ 13 C USj is the stable carbon isotope (‰) of component j in the upstream river water sample.

[0029] Based on the isotope mixing model, the carbon transfer C of coastal wetland component j at time i is calculated using formula (4): CWij for:

[0030] C CWij ×δ 13 C CW +C TC ij ×δ 13 C TC ij =C GC j ×δ 13 C GC j (4)

[0031] Where C CW ij is the carbon transport of coastal wetland component j at time i (g / L), δ 13 C TC ij is the stable carbon isotope (‰) of component j in the tidal ditch water sample of the coastal wetland at time i, C GC j and δ 13 C GC j The carbon concentration (g / L) and stable carbon isotope (‰) of component j observed at the sampling section near the offshore end of the tidal channel in the coastal wetland.

[0032] Then calculate the carbon transfer of coastal wetland component j and the total carbon transfer as follows:

[0033]

[0034] Where C CWj is the carbon transport capacity of coastal wetland component j (g / L), C CW is the total carbon transport to coastal wetlands (g / L).

[0035] Compared with the existing technology, the present invention has the following advantages: the present invention proposes a method for predicting lateral carbon transfer in coastal wetlands. The existing coastal wetland carbon sink only considers sediment carbon sink and plant carbon sink. The lateral carbon transfer in coastal wetlands predicted according to the present invention is an overlooked but very important component of coastal wetland carbon sink. The technical solution of the present invention can enhance the understanding of coastal wetland carbon sink and contribute to the comprehensive measurement of coastal wetland carbon sink in the future. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 Flowchart of a method for predicting lateral carbon transfer in coastal wetlands according to an embodiment of the present invention;

[0038] Figure 2 This is a process data diagram of Example 2 of the present invention;

[0039] Figure 3 This is a process data diagram of Example 3 of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0041] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0042] Example 1:

[0043] See also Figure 1 A method for predicting lateral carbon transfer in coastal wetlands according to an embodiment of the present invention may specifically include the following steps:

[0044] Step 101: Collect water samples from coastal wetlands, and collect yellow leaves of plants in coastal wetlands, wherein the water samples include water samples from the near sea and upstream rivers.

[0045] In this step, water samples were collected from the nearshore end of the tidal creek (TC) of the coastal wetland, the upstream river (US), and the nearshore area (NS) far from the coastal wetland. The pH and electrical conductivity CD of the water body were monitored during sampling, and the yellow leaves of the coastal wetland plants were collected using sealed bags.

[0046] During the specific implementation, water samples were collected from the nearshore end of the tidal ditch of the coastal wetland, the upstream river, and the nearshore area far from the coastal wetland. The nearshore end of the tidal ditch of the coastal wetland was sampled every hour for 24 hours. The pH and conductivity of the water body were monitored during sampling. Glass bottles burned at 450 degrees were used to collect water samples for measuring dissolved carbon. A small amount of mercuric chloride was added to the water samples for measuring dissolved inorganic carbon for sterilization. 85% concentrated phosphoric acid was added to the water samples for measuring dissolved organic carbon to a pH of 2 to inhibit microbial activity. After mixing, the bottle caps were tightened and sealed. Plastic barrels were used to collect water samples for measuring particulate carbon, and sealed bags were used to collect yellow leaves of coastal wetland plants.

[0047] Through this step, various samples that affect carbon transfer, including water bodies and plants, were comprehensively collected; through continuous 24-hour sampling, the impact of tidal changes on carbon transfer was captured; specific sampling and preservation methods were adopted to ensure the accuracy and reliability of the samples; and comprehensive sample support was provided for subsequent carbon concentration and isotope analysis.

[0048] Step 102: Process and measure the collected water samples and yellow leaves to obtain processing and measurement results, wherein the processing and measurement results include the carbon concentration of each component and its stable isotope and conductivity in the offshore and upstream river sampling sections.

[0049] In this step, the carbon concentrations and stable isotopes of each component in the sampling sections of the nearshore and upstream rivers are measured, specifically including the measurement of the concentrations and stable carbon isotopes of dissolved organic carbon, dissolved inorganic carbon, and particulate carbon.

[0050] In the specific implementation, the concentration of dissolved organic carbon (C) was measured after collecting water samples in glass bottles and filtering. DOC and stable carbon isotopes δ 13 C DOC , the concentration of dissolved inorganic carbon C DIC and stable carbon isotopes δ 13 C DIC , collect water samples in plastic buckets and filter them, and calculate the particle carbon concentration C of the water sample after the filter paper sample is dried. PC and stable carbon isotopes δ 13 C PC , yellow leaves were crushed and dried and the stable carbon isotope δ 13 C CW , water sample particulate carbon concentration C PC for:

[0051]

[0052] Where C PC is the concentration of particulate carbon in water sample (g / L), PC% is the carbon content of particles on filter paper, W d is the dry weight (g) of the filter paper with the sample after drying, W f is the weight of the filter paper (g), and V is the volume of the water sample collected in the plastic bucket (liter).

[0053] In the specific implementation, the water samples collected in glass bottles were filtered with GF / F filter paper and the concentrations of dissolved organic carbon, dissolved inorganic carbon and stable carbon isotopes in the water samples were measured. The water samples collected in plastic barrels were filtered with GF / F filter paper. The samples collected with filter paper were dried at 60 degrees to constant weight and then the particulate carbon content and stable carbon isotopes were measured. The weight of the filter paper was recorded separately. f and the dry weight W after drying the filter paper with the sample d , collect the volume V of water sample in a plastic bucket, crush the yellow leaves, dry them at 60 degrees to constant weight, and then measure the stable carbon isotope.

[0054] Through this step, comprehensive carbon concentration and stable carbon isotope data were obtained, including dissolved organic carbon, dissolved inorganic carbon, and particulate carbon; the accuracy and comparability of the data were ensured through standardized processing procedures; and the necessary basic data were provided for subsequent carbon transfer calculations.

[0055] Step 103: Obtain a prediction result of carbon transport increment based on the processing and measurement results and the pre-established hybrid model, wherein the prediction result of carbon transport increment includes predicting the carbon transport increment of each component of the coastal wetland.

[0056] In this step, according to the law of conservation of matter, the carbon concentrations of various components in the offshore and upstream rivers (including C DOC 、C DIC 、C PC ) and electrical conductivity to establish a mixed model, and predict the carbon transport increment of coastal wetland component j at time i as follows:

[0057]

[0058] Where C TCij is the carbon transport increment of the jth component of the coastal wetland at time i (g / L), C USj is the carbon concentration of component j in the upstream river water sample (g / L), C NSj is the carbon concentration of component j in the coastal water sample far from the coastal wetland (g / L), CD TCi is the water conductivity (mS / cm) observed at the offshore end of the tidal channel in the coastal wetland at time i, CD NS The conductivity of nearshore water samples far from coastal wetlands (mS / cm).

[0059] Step 104: Based on the predicted results of carbon transport increment and the pre-established isotope mixing model, the carbon transport amount of each component of the coastal wetland is obtained, and the total carbon transport amount is calculated based on the carbon transport amount of each component of the coastal wetland.

[0060] In this step, the predicted C TCij , the carbon concentrations and stable isotopes of each component of upstream river and coastal water samples, δ 13 C CW An isotope mixing model was established with electrical conductivity to predict the carbon transfer of each component in the water sample at time i. The average of the carbon transfer at each time was taken to obtain the carbon transfer of each component in the coastal wetland, and the total carbon transfer of the coastal wetland was obtained by summing the carbon transfer of each component.

[0061] In the specific implementation, firstly, according to the isotope mixing model, the stable isotope δ of carbon transport of the jth component in the coastal wetland at time i is calculated by formula (3): 13 C TCij :

[0062] [(C NSj -C USj )×CD TCi +C USj ×CD NS ]×δ 13 CTCij =(C NSj ×δ 13 C NSj -C USj ×δ 13 C USj )×CD TCi +C USj ×δ 13 C USj ×CD NS (3)

[0063] Where δ 13 C TCij is the stable isotope of carbon transported by the jth component of the coastal wetland at time i (‰), δ 13 C NSi is the stable carbon isotope of component j in the coastal water sample far from the coastal wetland (‰), δ 13 C USj is the stable carbon isotope (‰) of component j in the upstream river water sample.

[0064] Based on the isotope mixing model, the carbon transfer C of coastal wetland component j at time i is calculated using formula (4): CWij for:

[0065] C CWij ×δ 13 C CW +C TC ij ×δ 13 C TC ij =C GC j ×δ 13 C GC j (4)

[0066] Where C CW ij is the carbon transport of coastal wetland component j at time i (g / L), δ 13 C TC ij is the stable carbon isotope (‰) of component j in the tidal ditch water sample of the coastal wetland at time i, C GC j and δ 13 C GC j The carbon concentration (g / L) and stable carbon isotope (‰) of component j observed at the sampling section near the offshore end of the tidal channel in the coastal wetland.

[0067] Then calculate the carbon transfer of coastal wetland component j and the total carbon transfer as follows:

[0068]

[0069] Where C CWj is the carbon transport capacity of coastal wetland component j (g / L), C CW is the total carbon transport to coastal wetlands (g / L).

[0070] Through this step, the influence of different water sources on carbon transfer is taken into account through the mixing model; the accuracy of carbon transfer prediction is improved by using the isotope mixing model; the carbon transfer of each component can be calculated separately, providing more detailed carbon transfer information; and finally the total carbon transfer of coastal wetlands is obtained, providing important data for evaluating the carbon sequestration function of coastal wetlands.

[0071] Example 2:

[0072] Taking the coastal wetland of Hailing Island in Yangjiang City, Guangdong Province as an example, a method for predicting lateral carbon transfer in coastal wetlands according to an embodiment of the present invention may further include the following steps:

[0073] Step 201: Collect water samples from the coastal wetland of Hailing Island, Yangjiang City, Guangdong Province, at the coastal end of the tidal creek (TC), upstream river (US), and offshore (NS) away from the coastal wetland. Simultaneously, monitor the pH and electrical conductivity (CD) of the water during sampling. Use sealed bags to collect yellow leaves from coastal wetland plants.

[0074] Step 202: Collect water samples in glass bottles and filter them to measure the concentration of dissolved organic carbon (C). DOC and stable carbon isotopes δ 13 C DOC , the concentration of dissolved inorganic carbon C DIC and stable carbon isotopes δ 13 C DIC , collect water samples in plastic buckets and filter them, and calculate the particle carbon concentration C of the water sample after the filter paper sample is dried. PC and stable carbon isotopes δ 13 C PC , yellow leaves were crushed and dried and the stable carbon isotope δ 13 C CW , calculate the concentration of particulate carbon in water sample C PC (See Figure 2 );

[0075] Step 203: The carbon concentration of each component (including C DOC 、C DIC 、C PC ) and conductivity, and the conductivity of the sampling section at the offshore end of the tidal channel of the coastal wetland to establish a hybrid model to predict the carbon transport increment of the coastal wetland component j at time i;

[0076] Step 204: Using the predicted C TCij , the carbon concentrations and stable isotopes of each component of upstream river and coastal water samples, δ 13 C CWThe isotope mixing model was established with electrical conductivity to predict the carbon transfer of each component in the water sample at time i. The average of the carbon transfer at each time was taken to obtain the carbon transfer of each component in the coastal wetland. The total carbon transfer of each component was summed to obtain 7.35 mg / L in the Hailing Island coastal wetland.

[0077] Example 3:

[0078] Taking the coastal wetland of Qi'ao Island in Zhuhai City, Guangdong Province as an example, a method for predicting lateral carbon transfer in coastal wetlands according to an embodiment of the present invention may further include the following steps:

[0079] Step 301: collecting water samples from the coastal wetland of Qi'ao Island, Zhuhai City, Guangdong Province, at the coastal tidal channel near the coast (TC), upstream river (US), and offshore (NS) away from the coastal wetland. The pH and electrical conductivity (CD) of the water bodies were monitored during sampling, and yellow leaves of coastal wetland plants were collected using sealed bags.

[0080] Step 302: Collect water samples in glass bottles and filter them to measure the concentration of dissolved organic carbon (C). DOC and stable carbon isotopes δ 13 C DOC , the concentration of dissolved inorganic carbon C DIC and stable carbon isotopes δ 13 C DIC , collect water samples in plastic buckets and filter them, and calculate the particle carbon concentration C of the water sample after the filter paper sample is dried. PC and stable carbon isotopes δ 13 C PC , yellow leaves were crushed and dried and the stable carbon isotope δ 13 C CW , calculate the concentration of particulate carbon in water sample C PC (See Figure 3 );

[0081] Step 303: The carbon concentration of each component (including C DOC 、C DIC 、C PC ) and conductivity, and the conductivity of the sampling section at the offshore end of the tidal channel of the coastal wetland to establish a hybrid model to predict the carbon transport increment of the coastal wetland component j at time i;

[0082] Step 304: Using the predicted C TCij , the carbon concentrations and stable isotopes of each component of upstream river and coastal water samples, δ 13 C CW The isotope mixing model was established with electrical conductivity to predict the carbon transfer of each component in the water sample at time i. The average of the carbon transfer at each time was taken to obtain the carbon transfer of each component in the coastal wetland. The total carbon transfer of each component was summed to obtain 9.73 mg / L in the coastal wetland of Qi'ao Island.

[0083] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0084] The above embodiments are intended only to illustrate the technical concepts and features of the present invention. Their purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly. They are not intended to limit the scope of protection of the present invention. Any equivalent changes or modifications made based on the essence of the present invention are intended to be covered by the scope of protection of the present invention.

Claims

1. A method for predicting lateral carbon transport in coastal wetlands, characterized in that: Including steps: Collecting water samples from coastal wetlands and collecting yellow leaves of plants in coastal wetlands, wherein the water samples include water samples from offshore and upstream rivers; Processing and measuring the collected water samples and yellow leaves to obtain processing and measurement results, wherein the processing and measurement results include carbon concentrations of various components, their stable isotopes, and electrical conductivity at sampling sections of offshore and upstream rivers; According to the processing and measurement results and the pre-established hybrid model, a prediction result of carbon transport increment is obtained, wherein the prediction result of carbon transport increment includes the prediction of carbon transport increment of each component of the coastal wetland; wherein, According to the law of conservation of matter, a mixing model was established using the measured carbon concentrations and electrical conductivity of each component at the offshore and upstream river sampling sections to predict the carbon transport increment of coastal wetland component j at time i: Where C TCij is the carbon transfer increment of the jth component of the coastal wetland at time i, C USj is the carbon concentration of component j in the upstream river water sample, C NSj is the carbon concentration of component j in the nearshore water sample far from the coastal wetland, CD TCi is the water conductivity observed at the offshore end of the tidal channel in the coastal wetland at time i, CD NS The conductivity of offshore water samples far from coastal wetlands; According to the prediction results of carbon transport increment and the pre-established isotope mixing model, the carbon transport amount of each component of the coastal wetland is obtained, and the total carbon transport amount is calculated based on the carbon transport amount of each component of the coastal wetland; wherein, The predicted C TCij , the carbon concentrations and stable isotopes of each component in the offshore and upstream river sampling sections, δ 13 C CW The isotope mixing model was established with the conductivity to predict the carbon transport of each component of the water sample at time i. The carbon transport of each component in the coastal wetland was obtained by taking the average of the carbon transport at each time. The total carbon transport of the coastal wetland was obtained by summing the carbon transport of each component. According to the isotope mixing model, the stable isotope δ of carbon transport of the jth component in the coastal wetland at time i is calculated by formula (3): 13 C TCij : [(C NSj -C USj )×CD TCi +C USj ×CD NS ]×δ 13 C TCij =(C NSj ×δ 13 C NSj -C USj ×δ 13 C USj )×CD TCi +C USj ×δ 13 C USj ×CD NS (3) Where, δ 13 C TCij is the stable isotope of carbon transported to the jth component of the coastal wetland at time i, δ 13 C NSi is the stable carbon isotope of component j in the coastal water sample far from the coastal wetland, δ 13 C USj is the stable carbon isotope of component j in the upstream river water sample; Based on the isotope mixing model, the carbon transfer C of coastal wetland component j at time i is calculated using formula (4): CWij for: C CWij ×δ 13 C CW +C TCij ×δ 13 C TCij =C GCj ×δ 13 C GCj (4) Where C CWij is the carbon transfer of coastal wetland component j at time i, δ 13 C TCij is the stable carbon isotope of component j in the tidal creek water sample of the coastal wetland at time i, C GCj and δ 13 C GCj The carbon concentration and stable carbon isotope of component j observed at the sampling section near the tidal channel of the coastal wetland; The carbon transfer of coastal wetland component j and the total carbon transfer are calculated as: Where C CWj is the carbon transfer of coastal wetland component j, C CW is the total carbon transfer from coastal wetlands.

2. The method for predicting lateral carbon transfer in coastal wetlands according to claim 1, characterized in that: Collect water samples from coastal wetlands, and collect yellow leaves of plants in coastal wetlands, including: Water samples were collected from the nearshore end of the tidal ditch in the coastal wetland, the upstream river, and the nearshore area far from the coastal wetland. Sampling was conducted every hour for 24 consecutive hours at the nearshore end of the tidal ditch in the coastal wetland. The pH and conductivity of the water body were monitored during sampling. Glass bottles burned at 450 degrees were used to collect water samples for measuring dissolved carbon. A small amount of mercuric chloride was added to water samples for measuring dissolved inorganic carbon. 85% concentrated phosphoric acid was added to water samples for measuring dissolved organic carbon until the pH was 2. After mixing, the bottle caps were tightened and sealed. Plastic barrels were used to collect water samples for measuring particulate carbon, and sealed bags were used to collect yellow leaves of coastal wetland plants.

3. The method for predicting lateral carbon transfer in coastal wetlands according to claim 2, characterized in that: The collected water samples are processed and measured, specifically including: For water samples collected in glass bottles, the concentrations of dissolved organic carbon, dissolved inorganic carbon, and stable carbon isotopes were measured after filtering with GF / F filter paper. For water samples collected in plastic barrels, the concentrations of dissolved organic carbon, dissolved inorganic carbon, and stable carbon isotopes were measured after filtering with GF / F filter paper. The samples collected with filter paper were dried at 60 degrees to constant weight, and the particulate carbon content and stable carbon isotopes were measured. The weight of the filter paper was recorded. f and the dry weight W after drying the filter paper with the sample d , collect the volume V of water sample in a plastic bucket, crush the yellow leaves, dry them at 60 degrees to constant weight, and then measure the stable carbon isotope.

4. The method for predicting lateral carbon transfer in coastal wetlands according to claim 3, characterized in that: Process and measure results, including: Carbon concentrations and stable isotopes of various components in the coastal and upstream river sampling sections, including: The concentration of dissolved organic carbon (C) was measured after collecting water samples in glass bottles and filtering. DOC and stable carbon isotopes δ 13 C DOC , the concentration of dissolved inorganic carbon C DIC and stable carbon isotopes δ 13 C DIC , collect water samples in plastic buckets and filter them, and calculate the particle carbon concentration C of the water sample after the filter paper sample is dried. PC and stable carbon isotopes δ 13 C PC , yellow leaves were crushed and dried and the stable carbon isotope δ 13 C CW , water sample particulate carbon concentration C PC for: Where C PC is the concentration of particulate carbon in water sample, in g / L, PC% is the carbon content of particles on filter paper, W d W is the dry weight of the filter paper with the sample after drying, in grams. f is the weight of the filter paper in grams, and V is the volume of the water sample collected in the plastic bucket in liters.

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