Method and System for Evaluating Target Sites for Climate Change Adaptive Living Shorelines Based on Blue Carbon

Abstract

A method for evaluating a target site for the creation of a climate change-adaptive coast based on blue carbon according to an exemplary embodiment of the present invention comprises: a data collection step in which data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures are collected for the target site; a step for calculating evaluation values ​​by evaluation item in which quantitative indicator values ​​corresponding to the evaluation items are calculated based on the data collected in the data collection step; a target site evaluation step in which an evaluation of the target site and a determination of the applicability of the living shoreline method are performed using a decision rule system to derive a target site evaluation result; and a step for deriving a living shoreline method applicable to the target site according to the target site evaluation result. The step for calculating evaluation values ​​by evaluation item may include a step for calculating flooding time in which flooding time is calculated using the water depth and the tide level. By doing so, the applicability of the living shoreline to domestic and international coasts can be scientifically and systematically determined, and at least one of the following effects can be expected: expansion of blue carbon, strengthening of coastal resilience, sustainable coastline management, and establishment of a vegetation-based technology decision-making system. This study was conducted with funding from the government (Ministry of Oceans and Fisheries) in 2022, supported by the Korea Institute of Marine Science & Technology Promotion - Blue Carbon-based Climate Change Adaptation Coastal Construction Technology Development Project (RS-2022-KS221650).

Description

Technology Field

[0001] The present invention relates to a site evaluation technology for the construction of a climate change-adaptive coast based on blue carbon, and more specifically, to a technology that determines the applicability of a Living Shoreline to a coastal site by comprehensively considering multiple evaluation parameters such as water depth, tide level, waves, coastal slope, and rigid structures, and derives a Living Shoreline construction method suitable for the site environment based on the result. Background Technology

[0002] As global issues such as sea level rise, coastal erosion, and coastal ecosystem degradation intensify due to climate change, research and application of Nature-based Solutions (NbS) are actively underway as a response. Nature-based solutions represent a technological approach that moves away from traditional coastal disaster prevention methods centered on rigid structures like concrete embankments and breakwaters, aiming to simultaneously achieve coastal stabilization (prevention of coastal erosion), ecosystem restoration, and the enhancement of carbon sinks by utilizing the functions of natural ecosystems.

[0003] Maritime advanced nations such as the United States and Europe have introduced the concept of the Living Shoreline as a representative form of such nature-based solutions, expanding the application of coastal stabilization technologies utilizing salt marshes, seagrass beds, and natural buffer structures to the demonstration and commercialization stages. These Living Shorelines play a crucial role not only in reducing coastal erosion and mitigating wave activity but also in providing habitats for marine life and serving as a means of climate change mitigation through blue carbon.

[0004] Conventionally, artificial structures such as concrete revetments, breakwaters, and tetrapods were mainly installed along coastlines to stabilize the coast. While these technologies are effective for blocking waves and suppressing erosion in the short term, problems such as ecosystem fragmentation, damage to the landscape, and increased maintenance costs for the structures have been continuously raised.

[0005] Existing living shoreline technologies have been developed primarily for the purpose of preventing coastal erosion and softening rigid coastal structures. These technologies are mainly applied to coastal environments in advanced maritime nations such as the United States and Europe, which have relatively small tidal ranges, gentle terrain, and many coastal sections where erosion has already occurred.

[0006] However, in the establishment of living shorelines aimed at increasing blue carbon, it is becoming increasingly important to consider environmental conditions that ensure the survival, establishment, and growth stability of salt-tolerant plants, in addition to simple erosion reduction effects. In this case, wave and topographic conditions, as well as tidal flooding and exposure characteristics and the resulting suitability for vegetation growth, serve as key evaluation factors.

[0007] In particular, in complex coastal environments where tidal ranges are large, wave conditions are diverse, and artificial structures such as harbors, seawalls, and coastal roads are densely concentrated, applying existing living shoreline evaluation criteria as is could lead to the living shoreline method being applied to sections unsuitable for the growth of salt marsh plants, making it difficult to fully secure the blue carbon enhancement effect.

[0008] Furthermore, conventional technology has a limitation in that it lacks decision-making capabilities to systematically compare and select multiple nature-based methods based on the environmental conditions of the target coast, making it difficult to derive a combination of methods optimized for the growth conditions of salt marsh plants in the applied coastal section. Consequently, the accuracy of pre-predicting the effects of the Living Shore Line method is low, it is difficult to quantitatively evaluate the blue carbon acquisition effect, and there is a risk that coastal management authorities may select methods without objective grounds. The problem to be solved

[0009] To solve these problems, one aspect of the present invention can provide a technology that scientifically evaluates the physical and ecological characteristics of a target site for the creation of a blue carbon-based climate change-adaptive coast in a coastal target site environment, and rationally derives a suitable coast construction method based on the evaluation results.

[0010] One aspect of the present invention provides a technology for evaluating living shoreline sites and supporting decision-making that is universally applicable to various coasts without being dependent on a specific region, by adjusting and applying key evaluation items and criteria derived from literature reviews and analyses of advanced domestic and international cases to suit the characteristics of coastal sites.

[0011] One aspect of the present invention provides a site evaluation technology capable of objectively determining the applicability of the Living Shoreline by setting key environmental elements of a coastal site as evaluation items and comprehensively reflecting them.

[0012] One aspect of the present invention provides a technology capable of prioritizing the identification of sections where carbon-absorbing coastal vegetation can be established, with the core objective of expanding blue carbon, and deriving a living shoreline construction method optimized for such sections. In particular, by applying a decision tree-based evaluation method, the invention provides a technology capable of systematically analyzing multiple evaluation items and proposing a construction method suitable for a coastal site based on the evaluation results.

[0013] The technical problems of the present invention are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by a person skilled in the art from the description below. means of solving the problem

[0014] A method for evaluating a target site for climate change-adaptive coastal construction based on blue carbon, devised to solve the above problem, comprises: a data collection step in which data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures are collected for the target site; a step for calculating evaluation values ​​by evaluation item in which quantitative indicator values ​​corresponding to the evaluation items are calculated based on the data collected in the data collection step; a target site evaluation step in which an evaluation of the target site and a judgment on the applicability of the living shoreline method are performed using a decision rule system to derive a target site evaluation result; and a step for deriving a living shoreline method applicable to the target site according to the target site evaluation result. wherein the step for calculating evaluation values ​​by evaluation item includes a flooding time calculation step in which flooding time is calculated using the water depth and the tide level, and the flooding time is calculated by applying a time-weighted flooding time calculation algorithm, and the decision rule system may be generated using a Decision Rule Tree-based evaluation model that takes the calculated evaluation values ​​by evaluation item as input variables.

[0015] At this time, the time-weighted flooding time calculation algorithm comprises: a spatial unit setting step of dividing the sea area adjacent to the target site into a plurality of spatial units; a depth and harmonic analysis-based predicted tide level generation step of generating a depth D(x, y) and a predicted tide level η(t) corresponding to the spatial units; a flooding determination step of determining whether flooding occurs due to the rise and fall of the sea level of the target site by comparing the depth D(x, y) and the predicted tide level η(t) with respect to time t, and defining the flooding status by a binary function I(t); and accumulating time intervals determined to be in a flooded state during a predetermined analysis time T to obtain a flooding time T according to the spatial units inund A step for calculating the flooding time to calculate; wherein the predicted tide level η(t) is calculated by [Equation 1], and

[0016] [Mathematical Formula 1]

[0017] Here, Ai is the amplitude of the chord, ωi is the angular frequency of the chord, φi is the phase of the chord, N is the number of chords used, and

[0018] The above binary function I(t) is defined by [Equation 2], and

[0019] [Mathematical Formula 2]

[0020] The above immersion time T inund is calculated by [Mathematical Formula 3], and

[0021] [Mathematical Formula 3]

[0022] Here, M is the total number of time steps, and Δt is the time resolution.

[0023] In addition, the above decision rule system may use multiple evaluation items as branching criteria and include a pre-set threshold value or range for each evaluation item as a branching condition. When the coastal slope is used as a branching criterion, the threshold value of the coastal slope may set a first slope at which salt-tolerant plants or aquatic vegetation can stably establish itself as a lower limit value and a second slope at which salt-tolerant plants or aquatic vegetation may be lost as an upper limit value. When the flooding time calculated using the water depth and the tide level is used as a branching criterion, the threshold value of the flooding time may set a first flooding time at which salt-tolerant plants or aquatic vegetation can stably grow as a lower limit value and a second flooding time at which salt-tolerant plants or aquatic vegetation may die as an upper limit value. When the wave energy level is used as a branching condition, the threshold value of the wave energy level may set a first wave energy at which the Living Shore Line method can be applied as a lower limit value and a second wave energy at which the Living Shore Line method cannot be applied as an upper limit value, based on the magnitude of the significant wave height.

[0024] Additionally, the above-mentioned site evaluation step includes: Step A, which determines whether the rigid structure exists; Step B, which determines the coastal slope; Step C, which determines the flooding time; and Step D, which determines the wave energy level; wherein the applicability of the living shoreline method is determined based on the result of any one of Steps A through D or is comprehensively determined by combining the results of multiple steps, and if at least one of the coastal slope, the flooding time, or the wave energy level is greater than or equal to a pre-set upper limit, the application of the living shoreline method is determined to be unsuitable, and if the rigid structure does not exist and the coastal slope, the flooding time, and the wave energy are all less than a pre-set upper limit, the application of the living shoreline method may be determined to be suitable.

[0025] In addition, the step of deriving the above-mentioned Living Shore Line method may derive different methods applicable to the above-mentioned site according to the decision rule system leading to the final leaf of the decision tree when it is determined that the application of the above-mentioned Living Shore Line method is appropriate based on the evaluation results of the above-mentioned site, wherein the above-mentioned Living Shore Line method includes at least one method among Green Living, Blue Living, and Soft Living, Green Living is a vegetation-based method that creates a natural coast or back-behind buffer green space using only salt-tolerant plants or terrestrial vegetation, Blue Living is a method applied to spaces coexisting with the aquatic environment such as intertidal zones, wetlands, or shallow waters, and Soft Living may be a method that applies structural and management technologies in a manner that absorbs and mitigates the physical and state-of-the-art operation of nature to coastal sections where artificial structures such as revetments, bulkheads, and breakwaters are installed.

[0027] Meanwhile, in a target site evaluation system for climate change-adaptive coastal construction based on blue carbon, which is performed by at least one processor, the system comprises: a data collection module that collects data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures for said target site; a computation module that calculates quantitative indicator values ​​corresponding to said evaluation items based on said collected data; a rule generation module that evaluates said target site using said calculated evaluation values ​​for each evaluation item as input variables and generates a decision rule system using a Decision Rule Tree-based evaluation model to derive a living shoreline method applicable to said target site; a judgment module that evaluates said target site and determines the applicability of a living shoreline method using said evaluation rule system and derives said target site evaluation results; and a living shoreline method derivation module that derives a living shoreline method applicable to said target site according to said target site evaluation results. and a visualization module that intuitively provides the user with a living shoreline method applicable to the target site derived through the living shoreline method derivation module using a map-based interface; wherein the calculation module includes a flood time calculation module that calculates the flood time using the water depth and the tide level, and the flood time can be calculated by applying a time-weighted flood time calculation algorithm.

[0028] At this time, the time-weighted flooding time calculation algorithm comprises: a spatial unit setting step of dividing the sea area adjacent to the target site into a plurality of spatial units; a depth and harmonic analysis-based predicted tide level generation step of generating a depth D(x, y) and a predicted tide level η(t) corresponding to the spatial units; a flooding determination step of determining whether flooding occurs due to the rise and fall of the sea level of the target site by comparing the depth D(x, y) and the predicted tide level η(t) with respect to time t, and defining the flooding status by a binary function I(t); and accumulating time intervals determined to be in a flooded state during a predetermined analysis time T to obtain a flooding time T according to the spatial units inund A step for calculating the flooding time to calculate; wherein the predicted tide level η(t) is calculated by [Equation 1], and

[0029] [Mathematical Formula 1]

[0030] Here, Ai is the amplitude of the chord, ωi is the angular frequency of the chord, φi is the phase of the chord, N is the number of chords used, and

[0031] The above binary function I(t) is defined by [Equation 2], and

[0032] [Mathematical Formula 2]

[0033] The above immersion time T inund is calculated by [Mathematical Formula 3], and

[0034] [Mathematical Formula 3]

[0035] Here, M is the total number of time steps, and Δt is the time resolution. Effects of the invention

[0036] The present invention provides a site evaluation technology for climate change-adaptive coast construction based on blue carbon, thereby enabling the scientific and systematic determination of the applicability of the living shoreline and reducing coast construction failures in advance.

[0037] In addition, by providing technology capable of deriving the optimal living shoreline method suitable for the coastal environment, at least one of the following effects can be expected: expansion of blue carbon, enhancement of coastal resilience, sustainable coastline management, and establishment of a vegetation-based technology decision-making system.

[0038] Furthermore, by providing living shoreline assessment and application technologies for coastlines, it is possible to contribute to achieving national and social goals of mitigating climate change through the expansion of blue carbon.

[0040] The present invention is a site evaluation technology for the creation of a climate change-adaptive coast based on blue carbon, but its technical concept is not limited to the coastal field. Extended application to various adjacent and other industrial sectors It has high potential to become.

[0041] 1. Rather than simply listing natural environment data or interpreting them individually, Comprehensive consideration of multiple environmental parameters such as water depth, tide level, waves, coastline slope, and rigid structures and, calculated by combining the tide curve and water depth Utilizing derived parameters such as flood duration as key decision criteria In this respect, it can provide a universal decision-making framework that quantitatively and systematically evaluates complex natural environments.

[0042] 2. These technical structures extend beyond the field of coastal development, Directly applicable to river and estuary restoration, wetland creation and management, planning of lowland urban waterfront spaces, design of flood-tolerant waterfront spaces, and various aquatic environment fields requiring nature-based solutions. This can be the case. For example, flood time calculated by combining tidal or water level fluctuations with topographic information can be utilized as a key judgment indicator in river floodplain management, artificial wetland design, and flood mitigation park development, and the same evaluation logic can be applied to derive ecological and structural alternatives suitable for the relevant site. Therefore, the present invention is not a technology dependent on a specific construction method or environment, but rather It is evaluated as a general-purpose decision-making technology for designing adaptation strategies to changes in the natural environment. It can be.

[0044] also, Marketability of the present invention It can be highly valued in the following respects.

[0045] 1. Global trends in climate change adaptation, carbon neutrality, ecological restoration, and blue carbon policiesIt is highly consistent with... In particular, in a situation where existing disaster prevention methods centered on rigid structures are facing limitations due to coastal erosion, sea level rise, and the increase in extreme weather events, The demand for nature-based solutions and the evaluation and selection technologies that scientifically support them is continuously expanding. It is becoming so. Amidst this trend, in that it is not merely a construction technique but a technology that provides criteria and logic for selecting construction methods, it is applicable from the policy formulation, feasibility study, and master plan establishment stages. Evaluated as a high value-added technology It can be.

[0046] 2. In addition, since it can be implemented in the form of software, systems, and platforms, it is not limited to one-off construction projects Expanding into a business model capable of providing repetitive and continuous services It can be commercialized as, for example, coastal site evaluation systems, Living Shoreline applicability diagnostic services, decision support tools for local governments or public institutions, and environmental impact assessment and preliminary feasibility review platforms, and this Forming various revenue structures such as licensing, subscription services, and consulting combination models It is possible. In this respect, the present invention goes beyond the initial research and development results. It is evaluated as a technology capable of creating long-term markets and expanding the industrial ecosystem. It can be.

[0048] As described above, the present invention provides a universal evaluation framework applicable to the entire aquatic environment, starting from the field of coastal development, thereby possessing great scalability to other fields. Furthermore, it can be described as a technology with high marketability, with high demand expected in both public and private markets amidst global trends of climate change response and blue carbon policies. Brief explanation of the drawing

[0049] FIG. 1 is a drawing illustrating a blue carbon-based climate change-adaptive Living Shoreline method, and FIG. 2 is a drawing illustrating a method for evaluating a target site for a blue carbon-based climate change-adaptive coastal development according to an embodiment of the present invention, and FIG. 3 is a diagram illustrating the result of determining the applicability of a Living Shoreline to a target site using a Decision Rule Tree-based evaluation model according to an embodiment of the present invention, and FIG. 4 is a block diagram schematically illustrating a blue carbon-based climate change adaptive coastal development site evaluation system according to one embodiment of the present invention, and FIG. 5 is a diagram illustrating the results of applying a blue carbon-based climate change adaptive coastline development site evaluation method according to one embodiment of the present invention to a domestic coastline. Specific details for implementing the invention

[0050] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but can be implemented in various different forms. These embodiments may be provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention. Throughout the entire specification, the same reference numerals refer to the same components.

[0051] The terms used herein are for describing the embodiments and are not intended to limit the invention. In this specification, the singular form includes the plural form unless specifically stated otherwise in the text. As used herein, 'comprise' and / or 'comprising' do not exclude the presence or addition of one or more other components, steps, actions, and / or elements to the mentioned components, steps, actions, and / or elements.

[0052] Although terms such as "first," "second," etc., are used to describe various elements or components, it goes without saying that these elements or components are not limited by these terms. These terms are used merely to distinguish one element or component from another. Therefore, it goes without saying that the first element or component mentioned below may also be the second element or component within the technical scope of the present invention.

[0053] Unless otherwise defined, all terms used herein have the same meaning as generally understood by those skilled in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having meanings consistent with the context of the relevant technology and should not be interpreted as having an ideal or overly formal meaning unless explicitly defined in this application.

[0055] The structure, operating principle, and effects of the present invention will be explained in more detail below with reference to the attached drawings.

[0057] FIG. 1 is a drawing for explaining a blue carbon-based climate change-adaptive Living Shoreline construction method, FIG. 2 is a drawing for explaining a blue carbon-based climate change-adaptive coastline construction site evaluation method according to an embodiment of the present invention, FIG. 3 is a drawing illustrating the result of determining whether the Living Shoreline is applicable to a site using a Decision Rule Tree-based evaluation model (231) according to an embodiment of the present invention, FIG. 4 is a block diagram for schematically explaining a blue carbon-based climate change-adaptive coastline construction site evaluation system (1000) according to an embodiment of the present invention, and FIG. 5 is a drawing illustrating the result of applying the blue carbon-based climate change-adaptive coastline construction site evaluation method according to an embodiment of the present invention to a domestic coast.

[0059] Referring to Figure 1, the blue carbon-based climate change adaptive living shoreline method can be classified into Green Living, Blue Living, and Soft Living.

[0060] Green Living is a vegetation-based construction method that creates natural coastal or backwater buffer green spaces using only salt marshes or terrestrial vegetation. It is known to ensure relatively high stability of construction and ecological continuity when applied to coastal environments where existing salt marshes or salt marsh communities remain. This method is applicable only to regions where all environmental conditions are suitable for vegetation.

[0061] Blue Living is a construction method applied to spaces that coexist with aquatic environments (oceans, rivers, wetlands, etc.), such as intertidal zones, wetlands, or shallow waters. It can be applied to coastal sections where stable vegetation formation is difficult due to the presence of external forces, such as waves. More specifically, it is a method that promotes the reduction of coastal erosion, the provision of biological habitats, and the formation of a blue-green network by mitigating wave energy through the installation of eco-friendly materials or auxiliary structures—such as oyster shells, coconut fiber mats, and natural rocks—on the coastal front, followed by the planting of salt-tolerant or aquatic vegetation in the hinterland. This method primarily targets coastal environments where vegetation formation itself is feasible when wave energy is at a moderate level, but where the installation of auxiliary structures for wave mitigation is required.

[0062] Soft Living is a construction method that applies structural and management technologies to coastal sections equipped with existing artificial structures, such as revetments, bulkheads, and breakwaters, in a manner that absorbs and mitigates natural physical and physiological functions rather than suppressing them. For example, by applying porous ecological blocks, eco-friendly biopolymers, or other porous structures to the surface or front of existing rigid structures, it is possible to simultaneously achieve wave attenuation functions and facilitate the habitat and attachment of marine organisms. This method primarily targets areas within seas where rigid structures exist but waves are not excessive, allowing for the imparting of ecological functions through the improvement of artificial structures. Meanwhile, coastal sections that do not fall under these categories may be classified as unsuitable for the creation of a living shoreline.

[0063] As such, the applicable blue carbon-based climate change-adaptive living shoreline method may vary depending on the wave energy levels, water depth and flooding characteristics, topography, the presence of existing artificial structures, and ecological capacity of the site, or the construction itself may be unsuitable in some cases. Therefore, it is necessary to comprehensively consider the environmental characteristics of the site in advance to determine its suitability for construction, and based on the results, apply a method appropriate for the site's environment.

[0065] There have been previous studies evaluating the applicability of the living shoreline method by considering various environmental characteristics. For example, *A Guide to Living Shorelines in Texas* (2017) evaluated the applicability of living shorelines for the coast of Texas, USA, by considering water depth, rate of change in coastline, fetching distance, and coastline type, and provided the results as a GIS-based map service. Additionally, Nunez et al. (2022) developed a Shoreline Management Model (SMM) for the coast of Virginia, USA, and proposed methods for applying green and composite living shorelines or rigid structures for the purpose of erosion mitigation and coastline stabilization.

[0066] While these prior cases primarily aim to mitigate coastal erosion and ensure structural stability, instances of quantitatively evaluating target sites by considering flood duration as a key evaluation criterion for vegetation establishment potential or blue carbon capture are extremely limited or virtually non-existent.

[0068] The present invention proposes a target site evaluation technology that includes flooding time as a key evaluation item to create a blue carbon-based climate change-adaptive coast. To this end, a target site evaluation method for creating a blue carbon-based climate change-adaptive coast according to one embodiment of the present invention may include, with reference to FIG. 2, a data collection step (S110); a step of calculating evaluation values ​​for each evaluation item (S120); a step of generating a decision rule system (S130); a target site evaluation step (S140); and a step of deriving a living shoreline method (S150).

[0069] Data collection step (S110)

[0070] In one embodiment, in the data collection step (S110), the coastal target area is divided into a plurality of coastal sections, and then data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures can be collected for each coastal section.

[0071] In one embodiment, the data collection site may be a domestic or foreign coast and may be divided into multiple coastal sections based on water depth, tide level, waves, coastal slope, and rigid structures.

[0072] In one embodiment, the evaluation item may serve as a standard indicator for determining whether the target site is suitable for creating a blue carbon-based climate change-adaptive coast (hereinafter referred to as "target site evaluation"), and if deemed suitable, it may serve as an indicator for deriving a Living Shore Line method applicable to the target site. Additionally, the evaluation item may be derived by reviewing advanced cases, such as literature on the application of the Living Shore Line, and priority may be determined based on application frequency and utilization. In one embodiment, to create carbon-absorbing coastal vegetation for blue carbon expansion, which is the core objective of the present invention, the flooding time may be included as a key evaluation item in the target site evaluation.

[0073] In one embodiment, the collected data may include observational data, numerical analysis results, spatial information data, or field survey results. In one embodiment, the collected data may be obtained from a public database.

[0074] In one embodiment, for water depth data, data provided by the Korea Hydrographic and Oceanographic Agency can be utilized. In particular, water depth information (BAthymeric Data) dedicated to ocean numerical models can be utilized; this information is produced using ocean bathymetric survey data and is composed of a grid format with intervals of 150m below mean sea level.

[0075] In one embodiment, data regarding the tide level may be obtained from a service that provides a predicted tide level calculated by calculating the tide time difference and tide height ratio from the reference port (observation point) closest to the coordinates entered by the user (TideBED predicted tide level provision, National Oceanographic Survey Institute, Ministry of Oceans and Fisheries).

[0076] In one embodiment, data regarding waves can be obtained from data that spatially quantifies the external force, i.e., wave energy, caused by waves acting on a coastal site using significant wave heights calculated on the UNSWAN wave model grid.

[0077] In one embodiment, data regarding wave height can be obtained from data calculated through a numerical prediction model with verified performance.

[0078] In one embodiment, data regarding coastal slope can be obtained from data quantitatively calculated from a digital elevation model or seabed topography data using a geographic information system tool such as ArcGIS.

[0079] Step for calculating evaluation values ​​by evaluation item (S120)

[0080] In one embodiment, in the step of calculating evaluation values ​​for each evaluation item (S120), evaluation values ​​corresponding to evaluation items pre-selected for evaluating the target site can be calculated based on the data obtained in the data collection step (110). To this end, the step may include an evaluation item quantification step (S121) and a flood time calculation step (S122).

[0081] In one embodiment, in the evaluation item quantification step (S121), data obtained as quantitative or qualitative data such as water depth, tide level, wave energy level, coastal slope, and whether it is a rigid structure can be converted into normalized or graded quantitative indicator values ​​so that they can be compared with each other.

[0082] In one embodiment, in the flooding time calculation step (122), the flooding time of the target site can be calculated using water depth and tide level by applying a time-weighted flooding time calculation algorithm. In the case of water depth and tide level (or tide height), if the same standards as conventional technology are simply applied, they may be overestimated or underestimated. This is because, if the environment of the target site has a large tidal range and a distinct tidal cycle, the flooding time can have a direct effect on the stability of rooting and the distribution limit of salt-tolerant plants. Therefore, it is desirable to use water depth and tide level as evaluation items, and to calculate the flooding time (or flooding duration) using water depth and tide level so that various tidal environments are reflected in the evaluation of the target site.

[0083] In conventional studies, inundation time was expressed using dimensionless indicators such as the inundation ratio (IR) or calculated through long-term field observations. However, these conventional methods have limitations in terms of observation costs and time when evaluating extensive coastal areas that include various coastal environments, such as coastal sections where tidal ranges and tidal asymmetry are significant. In the present invention, a time-weighted inundation time calculation algorithm can be applied to quantitatively calculate inundation time using water depth and predicted tide level considering tidal environment characteristics without actual inundation observation for a wide sea area. The inundation time calculation step (S122) performed by applying the time-weighted inundation time calculation algorithm may include procedures such as a spatial unit setting step (122-1), a water depth and harmonic analysis-based predicted tide level generation step (122-2), an inundation determination step (122-3), and an inundation time calculation step (122-4).

[0084] In one embodiment, in the spatial unit setting step (122-1), the sea area adjacent to the target site may be divided into a plurality of spatial units. At this time, the spatial unit may be a grid, a coastline segment, or an equivalent spatial unit.

[0085] In one embodiment, the depth and harmonic decomposition-based predicted tide level generation step (122-2) can generate a depth value D(x, y) and a predicted tide level time series η(t) corresponding to each spatial unit.

[0086] In one embodiment, a depth value D(x, y) corresponding to each spatial unit can be obtained from the depth data collected in the data collection step (S110), and this depth value D(x, y) can be used as a depth evaluation item.

[0087] In one embodiment, the predicted tide level η(t) corresponding to each spatial unit can be calculated using a harmonic decomposition-based tide level model based on water depth data collected in the data collection step (S110). In the case of tide level, if prediction is performed using only a single tidal component or a limited tidal component, it may be difficult to accurately reflect flooding and exposure conditions. Therefore, in one embodiment of the present invention, the predicted tide level can be calculated through a harmonic decomposition-based predicted tide level calculation method that includes M2, S2, K1, and O1 tidal components representing semi-diurnal and diurnal tides as basic components. More specifically, the predicted tide level can be calculated by performing harmonic decomposition on the collected tide level data into periodic components (tidal components) such as semi-diurnal components (M2, S2) and diurnal components (K1, O1), estimating the amplitude Ai and phase φi of each tidal component, and then synthesizing the components. In one embodiment, the predicted tide level η(t) can be generated using a harmonic decomposition-based tide level model using harmonic constants (amplitude Ai and phase φi) of a reference observation point, i.e., the following [Equation 1].

[0088] [Mathematical Formula 1]

[0089] Here, Ai is the amplitude of the chord (M2, S2, K1 and O1), ωi is the angular frequency of the chord (M2, S2, K1 and O1), φi is the phase of the chord, and N is the number of chords used.

[0090] In one embodiment, in the flooding determination step (122-3), the predicted tide level η(t) and the water depth value D(x,y) are compared for each time t to determine whether the target area is flooded due to the rise and fall of the sea level. At this time, the flooding status can be defined by the binary function I(t) according to the following [Equation 2].

[0091] [Mathematical Formula 2]

[0092] In one embodiment, in the flooding time calculation step (122-4), the time intervals determined to be in a flooded state through [Equation 2] during a predetermined analysis period T are accumulated to obtain the flooding time T per spatial unit. inund It can produce.

[0093] [Mathematical Formula 3]

[0094] Here, M is the total number of time steps and Δt is the time resolution. Here, the immersion time can be expressed in actual time units rather than a dimensionless immersion ratio.

[0095] By calculating the flooding time through this procedure, spatial consistency with the actual vegetation distribution can be ensured, and this can be used as a basis for determining the feasibility of applying the Living Shoreline method to the site.

[0096] Decision rule system generation step (S130)

[0097] In one embodiment, in the decision rule system generation step (S130), the evaluation values ​​for each evaluation item calculated in the evaluation item-specific evaluation value calculation step (120) are used as input variables to generate a decision rule system for evaluating the target site and deriving a living shoreline construction method applicable to the target site. In one embodiment, the decision rule system may be generated using a Decision Rule Tree-based evaluation model. In this case, the Decision Rule Tree-based evaluation model may include multiple nodes based on the presence of rigid structures, coastal slope, flooding time, and wave energy level as branching criteria, and may include a pre-set threshold value or range for each evaluation item as a branching condition.

[0098] In one embodiment, the threshold value for an evaluation item may be set by referring to the range presented in prior research and existing guidelines, but rather than applying the criteria presented in individual literature as is, it may be set by referring to matters that should be prioritized according to the evaluation item. In addition, a decision rule system may be generated in which at least one of the multiple evaluation items is combined with immersion time to make a complex judgment.

[0099] In one embodiment, when the flooding time is based on a quarterly standard, the threshold value of the flooding time needs to be set primarily by considering the survival and establishment potential of halophytes or aquatic vegetation that are sensitive to flooding and exposure conditions. The duration of flooding within the tidal period is reported to be a major factor directly affecting the photosynthesis, root respiration, and growth stability of halophytes. Furthermore, according to prior studies analyzing vegetation responses to flooding time or frequency, it was confirmed that while stable growth is possible under relatively short flooding conditions, there is a tendency for growth inhibition or mortality to increase as the flooding period increases.

[0100] Accordingly, the threshold value of the immersion time can be set to the limit of the physiological tolerance range of salt-tolerant plants or aquatic vegetation (e.g., maximum immersion time of 6h). In this case, the first immersion time at which salt-tolerant plants or aquatic vegetation can grow stably can be set as the lower limit, and the second immersion time at which salt-tolerant plants or aquatic vegetation can die can be set as the upper limit.

[0101] In one embodiment, when the wave energy level is used as a branching criterion, the threshold value of the wave energy level needs to be set by referring to the range of external forces caused by waves presented in prior studies, as the wave energy level represents the level of external force caused by waves acting on the coastal site. In prior studies, it is common to use the significant wave height (Hs) as a representative parameter for evaluating the level of external force caused by waves. Accordingly, the wave energy level can be calculated based on the significant wave height value or an energy index derived from the significant wave height. Furthermore, since the degree of significant wave height directly affects the applicability of the vegetation-based living shoreline method, it must be considered when setting the threshold value of the wave energy level.

[0102] Therefore, the threshold value of the wave energy level can be set as a lower limit for the first wave energy at which the Living Shore Line method can be applied, based on the magnitude of the significant wave height (m), and as an upper limit for the second wave energy at which the Living Shore Line method cannot be applied.

[0103] In one embodiment, when coastal slope is used as a dividing criterion, the threshold value of coastal slope needs to be set primarily by considering vegetation settlement stability and sediment retention potential, which are mainly influenced by the slope of the coastal topography. According to prior studies, vegetation settlement is easy under gentle slope conditions, but it is reported that there is a high likelihood of soil erosion and reduced vegetation stability in the case of steep slopes.

[0104] Therefore, the threshold value of the coastal slope can be set by referring to the slope (°) range presented in prior studies, with a first slope at which salt-tolerant plants or aquatic vegetation can stably establish itself as the lower limit and a second slope at which salt-tolerant plants or aquatic vegetation may be lost as the upper limit.

[0105] In one embodiment, when a rigid structure is used as a branching criterion, the presence or absence of a rigid structure at the target site can be used as a branching condition.

[0106] Target site evaluation stage (S140)

[0107] In one embodiment, in the target site evaluation step (S140), the decision rule system generated in the decision rule system generation step (130) is used to evaluate the target site and determine the applicability of the Living Shore Line method, thereby deriving the target site evaluation result. More specifically, by applying evaluation values ​​for each evaluation item to a decision tree-based evaluation model, the target site can be analyzed to determine which node and path of the decision tree it moves along, thereby determining the applicability of the Living Shore Line method. For example, sections corresponding to cases where wave energy is excessively high, the flooding time is excessively long, or the coastal slope is excessively steep may be determined to be sections where vegetation cannot be established, making the application of the Living Shore Line method unsuitable.

[0108] In one embodiment, the target site evaluation step (S140) is a step for determining the applicability of the Living Shore Line method and may include a step A (S141) for determining the presence of rigid structures, a step B (S142) for determining the coastal slope, a step C (S143) for determining the flooding time, and a step D (S144) for determining the wave energy level. Additionally, the applicability of the Living Shore Line method may be determined based on the result of any one of steps A through D, or it may be determined comprehensively by combining the results of multiple steps.

[0109] In one embodiment, with reference to FIG. 3, in step A (S141), if a rigid structure exists at the site and the wave energy is greater than or equal to the second wave energy (the minimum wave energy at which the Living Shore Line method cannot be applied), it may be determined that the application of the Living Shore Line method is unsuitable. On the other hand, even if a rigid structure exists at the site, if the wave energy is less than the second wave energy, or if no rigid structure exists at the site, it may be determined that the application of the Living Shore Line method is suitable.

[0110] In one embodiment, with reference to FIG. 3, in step B (S142), if the coastal slope of the target site is greater than or equal to the second slope (the minimum slope at which aquatic vegetation can be lost), it may be determined that the application of the living shoreline method is unsuitable. On the other hand, if the coastal slope of the target site is less than the second slope, it may be determined that the application of the living shoreline method is suitable.

[0111] In one embodiment, with reference to FIG. 3, in step C (S143), if the flooding time of the target site is greater than or equal to the second flooding time (the minimum flooding time during which salt-tolerant plants or aquatic vegetation may die), it may be determined that the application of the Living Shore Line method is unsuitable. On the other hand, if the flooding time of the target site is less than the second flooding time, it may be determined that the application of the Living Shore Line method is suitable.

[0112] In one embodiment, with reference to FIG. 3, in step D (S144), if the wave energy of the target site is greater than or equal to the second wave energy, it may be determined that the application of the Living Shore Line method is unsuitable. On the other hand, if the wave energy of the target site is less than the second wave energy, it may be determined that the application of the Living Shore Line method is suitable.

[0113] In addition, in the target site evaluation stage (S140), evaluation items located at the top node among the multiple nodes forming the decision tree, or evaluation items with a higher classification probability, can be evaluated as items that contribute significantly to determining the applicability of the Living Shoreline method.

[0114] [Table 1] Example of target site evaluation according to the decision rule system for evaluation items according to an embodiment of the present invention

[0115]

[0116] Living Shoreline Method Derivation Step (S150)

[0117] In one embodiment, in the Living Shore Line method derivation step (S150), the optimal method applicable to the Living Shore Line corresponding to the final leaf of the decision tree may be derived based on the result of the site evaluation step (140). In one embodiment, the Living Shore Line method may be derived as one of the Green Living, Blue Living, or Soft Living methods, or the site may be classified as a site unsuitable for the application of the Living Shore Line method.

[0118] As described above, based on the judgment result in the site evaluation stage (S140), if at least one of the following applies, the site may be classified as unsuitable for the application of the Living Shore Line method.

[0119] - Where a rigid structure exists at the site, and the wave energy is equal to or greater than the second wave energy (the minimum wave energy at which the Living Shore Line method cannot be applied)

[0120] - When the coastal slope of the site is greater than or equal to the second slope (the minimum slope at which aquatic vegetation may be lost)

[0121] - If the flooding time of the site is longer than the second flooding time (the minimum flooding time during which salt-tolerant plants or aquatic vegetation may die)

[0122] - When the wave energy of the target site is second wave energy or higher

[0124] Meanwhile, even if it is determined that the application of the Living Shoreline method to the target site is suitable based on the results of the target site evaluation stage (140), the optimal method applicable to the target site may be derived differently according to the decision rule system leading to the final leaf of the decision tree.

[0125] In one embodiment, as shown in FIG. 3, a soft living method can be derived as an optimal method applicable to a target site where a rigid structure exists but the wave energy is less than the second wave energy.

[0126] In one embodiment, it would be desirable to apply Green Living to a site where there are no rigid structures, the coastal slope is less than the second slope, the flooding time is less than the second flooding time, and the wave energy is less than the first wave energy. On the other hand, it would be more desirable to apply Blue Living to a site where the coastal slope is less than the second slope and the flooding time is less than the second slope, but the wave energy is greater than or equal to the first wave energy.

[0127] Thus, by providing a method for evaluating a target site for a blue carbon-based climate change-adaptive coastline construction according to an embodiment of the present invention, it is possible to determine whether the target site is a site where the Living Shoreline method can be applied. Furthermore, through scientific and systematic judgment grounds using a decision tree-based evaluation model, the optimal Living Shoreline method applicable to the target site can be derived and utilized in designing vegetation growth for securing blue carbon.

[0129] Blue carbon-based climate change adaptive coastal development site evaluation system (1000)

[0130] A blue carbon-based climate change adaptive coastal construction site evaluation system (1000) according to one embodiment of the present invention may include, with reference to FIG. 3, a data collection module (210), a computation module (220), a rule generation module (230), a judgment module (240), a living shoreline construction method classification module (250), a visualization module (260), a processor (300), and a memory (400).

[0131] In one embodiment, the data collection module (210) may divide a coastal target area into a plurality of coastal sections and collect data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures for each coastal section. In one embodiment, the evaluation items may be pre-selected for the evaluation of the target area and may be used as indicators for deriving a living shoreline construction method applicable to the target area. In one embodiment, the data regarding the evaluation items may include observation data, numerical analysis results, spatial information data, or field survey results.

[0132] In one embodiment, the data collection module (210) may collect relevant data from a public database.

[0133] In one embodiment, the computation module (220) receives data collected through the data collection module (210) and can calculate an evaluation value corresponding to a pre-selected evaluation item for evaluating a target site. To this end, the computation module (220) may include an evaluation value calculation module (221), and the quantitative or qualitative data collected for each evaluation item can be normalized or converted into graded qualitative indicator values ​​by the evaluation value calculation module (221).

[0134] In one embodiment, the calculation module (220) may include a flood time calculation module (222), and the flood time calculation module (222) may calculate the flood time by combining the predicted tide curve and the water depth through a time-weighted flood time calculation algorithm.

[0135] In one embodiment, the evaluation value calculated by the operation module (220) can be used as an input variable for the rule generation module (230).

[0136] In one embodiment, the rule generation module (230) can generate a decision rule system for evaluating a target site and deriving a living shoreline construction method applicable to the target site by using evaluation values ​​for each evaluation item calculated by the computation module (220) as input variables. In one embodiment, the rule generation module (230) may include a decision rule tree-based evaluation model (231) that uses evaluation items as branching criteria, and can generate a decision rule system using this evaluation model. At this time, the branching conditions for each evaluation item may include a pre-set threshold value or range.

[0137] In one embodiment, the judgment module (240) can evaluate a target site using a decision rule system generated by the rule generation module (230) and determine whether the target site is suitable for creating a blue carbon-based climate change-adaptive coast. More specifically, by applying evaluation values ​​for each evaluation item to a decision tree-based evaluation model, the possibility of applying the Living Shore Line method can be determined by analyzing which node and path the target site moves along in the decision tree. For example, the judgment module (240) can determine that sections of the target site where wave energy is excessively high, flooding time is excessively long, or coastal slope is excessively steep are sections where vegetation creation is impossible, and thus the application of the Living Shore Line method is unsuitable.

[0138] In one embodiment, the judgment module (240) may include a rigid structure judgment module (241), a coastal slope judgment module (242), a flood time judgment module (242), and a wave energy judgment module (244) to determine whether the living shoreline method is applicable, and each module may determine whether there is a rigid structure, the coastal slope, the flood time, and the wave energy level based on a preset threshold or range.

[0139] In one embodiment, the judgment module (240) may evaluate that the evaluation item located at the top node among the multiple nodes forming the decision tree, or the evaluation item with a higher classification probability, is an item that contributes more to determining the applicability of the Living Shoreline method.

[0140] In one embodiment, the Living Shore Line method derivation module (250) can derive an optimal Living Shore Line method for coastal sections suitable for creating a blue carbon-based climate change-adaptive coast based on the evaluation and judgment results of the judgment module (240). More specifically, the Living Shore Line method derivation module (250) can derive a Living Shore Line method corresponding to the final leaf of the decision tree generated by the decision tree-based evaluation model of the judgment module (240) as the optimal method applicable to the target site. In one embodiment, the Living Shore Line method derivation module (250) may derive any one of the Green Living, Blue Living, or Soft Living methods as a Living Shore Line method, or derive a section where the application of the Living Shore Line method is unsuitable.

[0141] In one embodiment, the visualization module (260) can intuitively provide the results derived by the living shoreline method derivation module (250) to the user. For example, as illustrated in FIG. 5, the visualization module (260) can be used for policy formulation, decision support, or management planning by displaying the results for each coastal section of the target area and the living shoreline method applicable to the corresponding section using a map-based interface, color codes, etc.

[0142] In one embodiment, the processor (300) may execute instructions stored in memory (400) by at least one processor to enable the function of each module to be performed. Additionally, the processor (300) may enable a site evaluation to be performed in stages to create a blue carbon-based climate change-adaptive coast.

[0143] In one embodiment, the memory (400) may include an evaluation value calculated by the calculation module (220), an evaluation and judgment result by the judgment module (240), a result derived through the living shore line method derivation module (250), and instructions required for the execution of each module.

[0145] As described above, the blue carbon-based climate change adaptive coastal construction site evaluation system (1000) of the present invention can systematically derive a living shoreline construction method applicable to each coastal section by comprehensively considering various environmental conditions of the coastal site, and can identify the suitability of construction in advance, thereby reducing coastal construction failure.

[0147] Although representative embodiments of the present invention have been described in detail above, those skilled in the art will understand that various modifications can be made to the above-described embodiments without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims set forth below as well as equivalents thereof. Explanation of the symbols

[0148] 1000: Blue Carbon-Based Climate Change Adaptation Coastal Development Site Evaluation System 210 : Data collection module 220 : Operation module 221 : Evaluation Value Calculation Module 222 : Flood Time Calculation Module 230 : Rule generation module 231 : Decision Tree-Based Evaluation Model 240 : Judgment Module 241 : Rigid Structure Judgment Module 242 : Coastal Slope Determination Module 243 : Flood Time Determination Module 244 : Blue Energy Judgment Module 250 : Living Shoreline Construction Method Classification Module 260 : Visualization Module 300 : Processor 400 : Memory

Claims

Claim 1 A method for evaluating a target site for the creation of a climate change-adaptive coast based on blue carbon, comprising: a data collection step in which data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures are collected for the target site; a step for calculating evaluation values ​​by evaluation item in which quantitative indicator values ​​corresponding to the evaluation items are calculated based on the data collected in the data collection step; and a target site evaluation step in which an evaluation of the target site and a determination of the applicability of the Living Shore Line method are performed using a decision rule system to derive a target site evaluation result. A method for evaluating a blue carbon-based climate change-adaptive coastline development site, comprising: a step for deriving a living shoreline method applicable to the target site based on the evaluation results of the target site; wherein the step for calculating evaluation values ​​for each evaluation item includes a step for calculating flooding time in which flooding time is calculated using the water depth and the tide level, and the flooding time is calculated by applying a time-weighted flooding time calculation algorithm, and the decision rule system is generated using a decision rule tree-based evaluation model that uses the calculated evaluation values ​​for each evaluation item as input variables. Claim 2 In claim 1, the time-weighted flooding time calculation algorithm comprises: a spatial unit setting step of dividing the sea area adjacent to the target site into a plurality of spatial units; a depth and harmonic analysis-based predicted tide level generation step of generating a depth D(x, y) and a predicted tide level η(t) corresponding to the spatial units; a flooding determination step of determining whether flooding occurs due to the rise and fall of the sea level of the target site by comparing the depth D(x, y) and the predicted tide level η(t) with respect to time t, and defining the flooding status as a binary function I(t); and a flooding time T according to the spatial units by accumulating time intervals determined to be in a flooded state during a predetermined analysis time T. inund A step for calculating the flooding time to calculate; wherein the predicted tide level η(t) is calculated by [Equation 1], and [Equation 1] Here, Ai is the amplitude of the chord, ωi is the angular frequency of the chord, φi is the phase of the chord, N is the number of chords used, and the above binary function I(t) is defined by [Equation 2], [Equation 2] The above immersion time T inund is calculated by [Mathematical Formula 3], and [Mathematical Formula 3] A blue carbon-based climate change adaptive coastline development site evaluation method characterized in that, at this time, M is the total number of time steps and Δt is the time resolution. Claim 3 In claim 1, the data regarding the evaluation items includes data regarding wave energy levels and data regarding coastal slope, and the decision rule system uses multiple evaluation items as branching criteria and includes a pre-set threshold value or range for each evaluation item as a branching condition; wherein, when the coastal slope is used as a branching criterion, the threshold value of the coastal slope is set as a lower limit for a first slope where salt-tolerant plants or aquatic vegetation can stably establish, and as an upper limit for a second slope where salt-tolerant plants or aquatic vegetation may be lost; wherein, when the submersion time calculated using the water depth and the tide level is used as a branching criterion, the threshold value of the submersion time is set as a lower limit for a first submersion time where salt-tolerant plants or aquatic vegetation can stably grow, and as an upper limit for a second submersion time where salt-tolerant plants or aquatic vegetation may die; wherein, when the wave energy level is used as a branching criterion, the threshold value of the wave energy level is set as a lower limit for a first wave energy where the Living Shore Line method can be applied based on the magnitude of the significant wave height, and the Living Shore Line method A method for evaluating a blue carbon-based climate change-adaptive coastal development site characterized by setting the second wave energy, which is unapplicable, as the upper limit. Claim 4 In claim 3, the site evaluation step comprises: Step A, which determines whether the rigid structure exists; Step B, which determines the coastal slope; Step C, which determines the flooding time; and Step D, which determines the wave energy level; wherein the applicability of the living shoreline method is determined based on the result of any one of Steps A through D or comprehensively determined by combining the results of multiple steps, and wherein if at least one of the coastal slope, the flooding time, or the wave energy level is greater than or equal to a pre-set upper limit, the application of the living shoreline method is determined to be unsuitable, and if the rigid structure does not exist and the coastal slope, the flooding time, and the wave energy level are all less than a pre-set upper limit, the application of the living shoreline method is determined to be suitable. Claim 5 In claim 1, the step of deriving the living shoreline method is characterized in that, when it is determined that the application of the living shoreline method is appropriate based on the results of the evaluation of the target site, a different method applicable to the target site is derived according to the decision rule system leading to the final leaf of the decision tree, wherein the living shoreline method includes at least one method among Green Living, Blue Living, and Soft Living, Green Living is a vegetation-based method that creates a natural coast or back-buffer green space using only salt-tolerant plants or terrestrial vegetation, Blue Living is a method applied to spaces that coexist with an aquatic environment such as intertidal zones, wetlands, or shallow waters, and Soft Living is a method that applies structural and management technologies that absorb and mitigate natural physical and state-related operations to coastal sections where artificial structures such as revetments, bulkheads, and breakwaters are installed. Claim 6 A target site evaluation system for climate change-adaptive coastal construction based on blue carbon, performed by at least one processor, comprising: a data collection module that collects data regarding evaluation items including water depth, tide level, waves, coastal slope, and rigid structures for said target site; a computation module that calculates quantitative indicator values ​​corresponding to said evaluation items based on said collected data; a rule generation module that evaluates said target site using said calculated evaluation values ​​for each evaluation item as input variables and generates a decision rule system using a Decision Rule Tree-based evaluation model to derive a living shoreline method applicable to said target site; a judgment module that evaluates said target site and determines the applicability of a living shoreline method using said decision rule system and derives said target site evaluation results; and a living shoreline method derivation module that derives a living shoreline method applicable to said target site according to said target site evaluation results. A blue carbon-based climate change adaptive coastal development site evaluation system comprising: a visualization module that intuitively provides a living shoreline method applicable to the target site derived through the living shoreline method derivation module using a map-based interface to the user; wherein the calculation module includes a flood time calculation module that calculates flood time using the water depth and the tide level, and the flood time is calculated by applying a time-weighted flood time calculation algorithm. Claim 7 In claim 6, the time-weighted flooding time calculation algorithm comprises: a spatial unit setting step of dividing the sea area adjacent to the target site into a plurality of spatial units; a depth and harmonic analysis-based predicted tide level generation step of generating a depth D(x, y) and a predicted tide level η(t) corresponding to the spatial units; a flooding determination step of determining whether flooding occurs due to the rise and fall of the sea level of the target site by comparing the depth D(x, y) and the predicted tide level η(t) with respect to time t, and defining the flooding status as a binary function I(t); and a flooding time T according to the spatial units by accumulating time intervals determined to be in a flooded state during a predetermined analysis time T. inund A step for calculating the flooding time to calculate; wherein the predicted tide level η(t) is calculated by [Equation 1], and [Equation 1] Here, Ai is the amplitude of the chord, ωi is the angular frequency of the chord, φi is the phase of the chord, N is the number of chords used, and the above binary function I(t) is defined by [Equation 2], [Equation 2] The above immersion time T inund is calculated by [Mathematical Formula 3], and [Mathematical Formula 3] A blue carbon-based climate change adaptive coastline development site evaluation system characterized in that, at this time, M is the total number of time steps and Δt is the time resolution.

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