Prediction method for transverse carbon transportation of coastal wetland

Abstract

The invention relates to the technical field of marine ecology, in particular to a coastal wetland transverse carbon transport prediction method which comprises the following steps: collecting a water sample of a coastal wetland and collecting yellow leaves of plants of the coastal wetland; treating and measuring the collected water sample and the yellow leaves to obtain treatment and measurement results; obtaining a prediction result of the carbon transport increment according to the processing and measuring result and a pre-established hybrid model; and according to the prediction result of the carbon transport increment and a pre-established isotope mixing model, obtaining the carbon transport amount of each component of the coastal wetland, and according to the carbon transport amount of each component of the coastal wetland, calculating to obtain the total carbon transport amount. According to the method, the understanding of the coastal wetland in the ocean carbon sink contribution can be improved.

Description

Technical Field

[0001] The 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 are located at the junction of land and sea. Their carbon sources include endogenous carbon (such as litter) and exogenous carbon (such as carbon input from rivers and oceans). Under the action of tides, the carbon in coastal wetlands is transported laterally to the offshore through tidal channels, becoming an important part of the marine carbon sink. The carbonate and bicarbonate in the exported dissolved inorganic carbon are important components of total alkalinity and can also buffer ocean acidification. At present, the technology for studying the vertical carbon burial in coastal wetlands and the carbon exchange between plants and the atmosphere is relatively mature, but there is a lack of technical methods to predict the lateral carbon transport in coastal wetlands.

[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 view of the lack of prediction of lateral carbon transfer in coastal wetlands in the prior art, the present invention provides a method for predicting lateral carbon transfer 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 transfer, and uses dissolved carbon and particulate carbon concentrations in combination with stable carbon isotopes to predict the lateral carbon transfer in coastal wetlands, which can improve the understanding of the contribution of coastal wetlands to marine carbon sinks.

[0005] To achieve the above object, 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 and their stable isotopes and conductivity at the offshore and upstream river sampling sections;

[0009] 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 predicting 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 method for predicting lateral carbon transfer in coastal wetlands as described above, further includes collecting water samples from coastal wetlands and collecting yellow leaves of plants in coastal wetlands, specifically including:

[0012] Water samples were collected from the nearshore end of the tidal ditch in the coastal wetland, in the upstream river, and in the sea far from the coastal wetland. Sampling was conducted every hour for 24 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. Water samples for measuring dissolved carbon were collected in glass bottles burned at 450 degrees. 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 cap was tightened and sealed. Rubber 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 method for predicting lateral carbon transport in coastal wetlands as described above 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, GF / F filter paper was used to filter the samples collected with filter paper. The particulate carbon content and stable carbon isotopes were measured after drying at 60 degrees to constant weight, and the weight of the filter paper was recorded respectively. f and the dry weight W after drying the filter paper with the sample d , collect the volume V of the 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 prediction method of lateral carbon transport in coastal wetlands further processes and measures the results, specifically including:

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

[0017] The concentration of dissolved organic carbon (C) was measured by collecting water samples in glass bottles and filtering them. 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 to measure stable carbon isotope δ 13 C CW , water sample particulate carbon concentration C PC for:

[0018]

[0019] In the formula, C PC is the particle carbon concentration of the water sample (g / L), PC% is the carbon content of the particles on the filter paper, and 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 method for predicting lateral carbon transport in coastal wetlands as described above, further, according to the processing and measurement results and the pre-established hybrid model, obtains the prediction result of carbon transport increment, specifically including:

[0021] According to the law of conservation of matter, a mixed model was established based on the measured carbon concentration and conductivity of each component in the offshore and upstream river sampling sections, and the carbon transport increment of coastal wetland component j at time i was predicted as follows:

[0022]

[0023] In the formula, 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 nearshore 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 It is the conductivity of nearshore water samples far away from coastal wetlands (mS / cm).

[0024] The method for predicting lateral carbon transport in coastal wetlands as described above further includes obtaining the carbon transport amount of each component of the coastal wetland based on the predicted result of the carbon transport increment and the 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, specifically including:

[0025] The predicted C TCij , the carbon concentrations and stable isotopes of each component of the nearshore water samples, δ 13 C CW The isotope mixing model was established based on the 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 the coastal wetland was obtained by summing up 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] In the formula, δ 13 C TCij is the stable isotope of carbon transport in the jth component of the coastal wetland at time i (‰), δ 13 C NSi is the stable carbon isotope of component j in the nearshore 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 by 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] In the formula, C CW ij is the carbon transfer 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 channel 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 in the sampling section near the offshore end of the tidal channel in the coastal wetland.

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

[0033]

[0034] In the formula, C CWj is the carbon transfer of coastal wetland component j (g / L), C CW is the total carbon transfer of coastal wetlands (g / L).

[0035] Compared with the prior art, the present invention has the following beneficial effects: the present invention proposes a method for predicting lateral carbon transfer in coastal wetlands. The existing coastal wetland carbon sinks only consider sediment carbon sinks and plant carbon sinks. The lateral carbon transfer in coastal wetlands predicted according to the present invention is an overlooked but very important component of coastal wetland carbon sinks. The technical solution of the present invention can enhance the understanding of coastal wetland carbon sinks and contribute to the comprehensive measurement of coastal wetland carbon sinks 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 drawings required for use in the embodiments are briefly introduced below. 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 is a flow chart of a method for predicting lateral carbon transport in coastal wetlands in 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 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 described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] It should be noted that the terms "first", "second", etc. in the specification 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 data 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 of 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 that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0042] Embodiment 1:

[0043] See also Figure 1 A method for predicting lateral carbon transfer in a coastal wetland 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 are collected from the nearshore end of the tidal creek (TC) of the coastal wetland, the upstream river (US), and the nearshore (NS) far from the coastal wetland. The pH and electrical conductivity CD of the water body are monitored during sampling, and the yellow leaves of the coastal wetland plants are 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 cap was tightened and sealed. Rubber 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; the impact of tidal changes on carbon transfer was captured through continuous 24-hour sampling; specific sampling and preservation methods were used 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 of the sampling sections of the offshore and upstream rivers.

[0049] In this step, the carbon concentration of each component and its stable isotope in the sampling sections of the nearshore and upstream rivers specifically include measuring the concentration and stable carbon isotopes of dissolved organic carbon, dissolved inorganic carbon, and the concentration and stable carbon isotopes of particulate carbon.

[0050] In the specific implementation, the concentration of dissolved organic carbon (C) was measured after the water samples were collected in glass bottles and filtered. 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 to measure stable carbon isotope δ 13 C CW , water sample particulate carbon concentration C PC for:

[0051]

[0052] Where C PC is the particle carbon concentration of the water sample (g / L), PC% is the carbon content of the particles on the filter paper, and 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 the glass bottles were filtered with GF / F filter paper and the concentrations of dissolved organic carbon, dissolved inorganic carbon and stable carbon isotopes were measured. The water samples collected in the plastic bucket were filtered with GF / F filter paper. The samples collected with the 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 the 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 transfer increment based on the processing and measurement results and the pre-established hybrid model, wherein the prediction result of carbon transfer increment includes predicting the carbon transfer 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 nearshore 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 It is the conductivity of nearshore water samples far away from coastal wetlands (mS / cm).

[0059] Step 104: The carbon transfer amount of each component of the coastal wetland is obtained according to the prediction result of the carbon transfer increment and the pre-established isotope mixing model, and the total carbon transfer amount is calculated according to the carbon transfer 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 The isotope mixing model was established based on the 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 the coastal wetland was obtained by summing up 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 transport in the jth component of the coastal wetland at time i (‰), δ 13 C NSi is the stable carbon isotope of component j in the nearshore 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 by 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 transfer 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 channel 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 in the sampling section near the offshore end of the tidal channel in the coastal wetland.

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

[0068]

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

[0071] Embodiment 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 a coastal wetland according to an embodiment of the present invention may further include the following steps:

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

[0074] Step 202: Collect water samples in glass bottles and then measure the concentration of dissolved organic carbon (C) after 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 to measure stable carbon isotope δ 13 C CW , calculate the particle carbon concentration C of the water sample PC (See Figure 2 );

[0075] Step 203: The carbon concentrations of each component (including C DOC , C DIC , C PC ) and conductivity, and the conductivity of the sampling section at the nearshore 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 up to obtain 7.35 mg / L in the coastal wetland of Hailing Island.

[0077] Embodiment 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 a coastal wetland according to an embodiment of the present invention may further include the following steps:

[0079] Step 301: Collect water samples at the coastal wetland tidal channel near the coast (TC), upstream river (US), and near the coast (NS) far from the coastal wetland in Qi'ao Island, Zhuhai City, Guangdong Province, monitor the pH and conductivity CD of the water body during sampling, and collect yellow leaves of coastal wetland plants with sealed bags;

[0080] Step 302: Collect water samples in glass bottles and then measure the concentration of dissolved organic carbon (C) after 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 to measure stable carbon isotope δ 13 C CW , calculate the particle carbon concentration C of the water sample 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 nearshore 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 up to obtain 9.73 mg / L in the coastal wetland of Qiaoao Island.

[0083] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means 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 may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0084] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable ordinary technicians in the field to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made based on the essence of the content of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting lateral carbon transport in coastal wetlands, characterized in that: Includes 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 and their stable isotopes and conductivity at the offshore and upstream river sampling sections; 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 predicting carbon transport increment of each component of the coastal wetland; 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.

2. The method for predicting lateral carbon transport 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, in the upstream river, and in the sea far from the coastal wetland. Sampling was conducted every hour for 24 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. Water samples for measuring dissolved carbon were collected in glass bottles burned at 450 degrees. 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 cap was tightened and sealed. Rubber 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 transport 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, GF / F filter paper was used to filter the samples collected with filter paper. The particulate carbon content and stable carbon isotopes were measured after drying at 60 degrees to constant weight, and the weight of the filter paper was recorded respectively. f and the dry weight W after drying the filter paper with the sample d , collect the volume V of the 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 transport in coastal wetlands according to claim 3, characterized in that: Processing and measurement results, including: Carbon concentrations and stable isotopes of each component in the coastal and upstream river sampling sections, including: The concentration of dissolved organic carbon (C) was measured by collecting water samples in glass bottles and filtering them. 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 to measure stable carbon isotope δ 13 C CW , water sample particulate carbon concentration C PC for: In the formula, C PC is the particle carbon concentration of the water sample (g / L), PC% is the carbon content of the particles on the filter paper, and 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).

5. The method for predicting lateral carbon transport in coastal wetlands according to claim 4, characterized in that: Based on the processing and measurement results and the pre-established hybrid model, the prediction results of carbon transport increment are obtained, including: According to the law of conservation of matter, a mixed model was established based on the measured carbon concentration and conductivity of each component in the offshore and upstream river sampling sections, and the carbon transport increment of coastal wetland component j at time i was predicted as follows: In the formula, 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 nearshore water samples far away from coastal wetlands.

6. The method for predicting lateral carbon transport in coastal wetlands according to claim 5, characterized in that: 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. According to the carbon transport amount of each component of the coastal wetland, the total carbon transport amount is calculated, which specifically includes: 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 transfer of each component of 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 the coastal wetland was obtained by summing up the carbon transfer 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 ×C DNS (3) In the formula, δ 13 C TCij is the stable isotope of carbon transport in the jth component of the coastal wetland at time i, δ 13 C NSi is the stable carbon isotope of component j in the nearshore 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 by formula (4): CWij for: C CWij ×δ 13 C CW +C TC ij ×δ 13 C TC ij =C GC j ×δ 13 C GC j (4) In the formula, 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 channel water sample of the coastal wetland at time i, C GC j and δ 13 C GC j The carbon concentration and stable carbon isotope of component j observed in the sampling section at the nearshore end of the tidal channel in the coastal wetland; The carbon transfer of coastal wetland component j and the total carbon transfer are calculated as: In the formula, C CWj is the carbon transfer of coastal wetland component j, C CW is the total carbon transfer from coastal wetlands.

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