KR101872640B1 - Method of providing water resources information and apparatuses performing the same - Google Patents

Abstract

According to the present information, disclosed are a method of providing water resource information and apparatuses for executing the method. According to an embodiment, the method of providing water resource information includes the steps of: detailing a plurality of climate change scenarios on the basis of a daily bias-correction and spatial disaggregation (Daily BCSD) model and a quintile delta mapping (QDM) method; determining a plurality of representative climate change scenarios among the detailed climate change scenarios on the basis of a cluster analysis technique; evaluating watershed soundness and watershed vulnerability of the representative climate change scenarios on the basis of a plurality of watershed soundness evaluation factors and a plurality of watershed vulnerability evaluation factors; and evaluating watershed resilience and watershed recovery priorities of the representative climate change scenarios on the basis of a result of the evaluation. The present invention may provide a technique of providing a plurality of climate change scenarios appropriate to a specific watershed by detailing the climate change scenarios and determining a plurality of representative climate change scenarios.

Description

Field of the Invention < RTI ID = 0.0 > [0001] < / RTI >

The following embodiments relate to a water information providing method and apparatuses for performing the water information providing method.

In recent years, flood damage and drought damage caused by unusually heavy rainfall have increased dramatically. In addition, recent ecological changes due to climate change as well as flood damage and drought damage occur.

Climate change adversely affects the watershed's water resource capacity, clean groundwater availability, river ecological sustainability, and vegetation coverability. Thus, climate change is expected to weaken the watershed health and recovery capacity and ultimately change the watershed management paradigm.

Watershed management technology for adaptation to future climate change should be considered in the development of watershed management technology that meets the needs of eco - friendly watershed management in existing watershed - oriented watershed management.
(Application No. 10-2007-0081160)

Embodiments can provide techniques for refining a plurality of climate change scenarios and determining a plurality of representative climate change scenarios to provide a plurality of climate change scenarios suitable for a particular watershed.

Embodiments can also provide techniques for providing water resource information by evaluating watershed health, watershed vulnerability, watershed resilience, and watershed restoration priorities for a plurality of representative climate change scenarios.

The method of providing water information according to one embodiment includes the steps of refining a plurality of climate change scenarios based on a Daily BCSD (daily bias-correction and spatial disaggregation) model and a QDM (quanltile delta mapping) Determining a plurality of representative climatic change scenarios among the plurality of detailed climatic change scenarios based on a plurality of watershed soundness evaluation factors and a plurality of watershed vulnerability assessment factors; Assessing health and watershed vulnerability; and evaluating the watershed resilience and watershed restoration priorities for the plurality of representative climate change scenarios based on the assessment results.

Wherein the step of refinement comprises the steps of: RCP 4.5 (representative concentration pathway 4.5) of CMIP 5 (coupled model intercomparison project phase 5) and RCP 4.5 (RCP 4.8) based on the Daily BCSD (bias-correction or spatial disaggregation) (GCMs) for each of the representative concentration pathways 8.5.

The refining may include refining a plurality of refined global cilmate models (GCMs) for a plurality of automated synoptic observing system (ASOS) viewpoints.

Wherein the determining comprises prioritizing the detailed plurality of climate change scenarios based on climate persistence, classifying the detailed plurality of climate change scenarios based on the priority and the cluster analysis technique, And determining the plurality of representative climate change scenarios among the plurality of classified climate change scenarios.

The step of evaluating the watershed health and watershed vulnerability includes the steps of calculating a watershed integrity index using geographic information system (GIS) data, monitoring data, and soil and water assessment tool (SWAT) model data, Data, a water resource long-range comprehensive plan, and a statistical annual report to calculate the watershed vulnerability index.

Wherein calculating the watershed soundness index comprises: normalizing a plurality of evaluation factors for each of the plurality of watershed soundness evaluation factors; and determining a fitness index of each of the plurality of watersome soundness evaluation factors based on the normalized result Calculating a final health index based on the health index, and calculating a final health index based on the health index.

The plurality of watershed prudential factors may be aquatic habitat, habitat, water quality, hydrology, river, land cover, and vegetation.

Wherein calculating the watershed vulnerability index comprises: normalizing an evaluation factor for each of the plurality of watershed vulnerability assessment factors; and calculating a vulnerability index for each of the plurality of watershed vulnerability assessment factors based on the normalized result And calculating a final vulnerability index based on the vulnerability index.

The plurality of watershed vulnerability assessment factors may be impervious layer changes, climate change, water use change, recent land cover change.

Evaluating the watershed resilience and restoration priorities comprises: calculating a watershed resilience index based on the assessment results and the social factor assessment results, generating bubble floats for the waterside resilience and watershed restoration priorities, And estimating the watershed resilience and the waterside restoration priority based on the floating.

The apparatus for providing water information according to an embodiment includes an input interface for receiving a plurality of climate change scenarios, and a plurality of climate change control units based on a Daily BCSD (quasi-delta delta mapping) method and a daily bias-correction and spatial disaggregation Determining a plurality of representative climatic change scenarios among a plurality of detailed climatic change scenarios based on the cluster analysis technique and determining the plurality of representative climatic change scenarios based on the plurality of watershed soundness evaluation factors and the plurality And evaluating the watershed resilience and watershed recovery priorities for the plurality of representative climate change scenarios based on the assessment results.

Wherein the controller is configured to determine a representative concentration pathway (RCP) 4.5 of CMIP5 (coupled model intercomparison project phase 5) based on the Daily BCSD (bias-correction or spatial disaggregation) model and the quadrant delta mapping (GCMs) for each of the representative concentration pathways 8.5.

The controller can refine a plurality of detailed global cilmate models (GCMs) for a plurality of automated synoptic observing system (ASOS) viewpoints.

Wherein the controller prioritizes the detailed plurality of climate change scenarios based on climate persistence, classifies the detailed plurality of climate change scenarios based on the priority and the cluster analysis technique, The plurality of representative climate change scenarios can be determined among the climate change scenarios.

The controller calculates watershed integrity indexes using geographic information system (GIS) data, monitoring data, and soil and water assessment tool (SWAT) model data, and compares the GIS data, the monitoring data, Can be used to calculate the watershed vulnerability index.

Wherein the controller is configured to normalize a plurality of evaluation factors for each of the plurality of watershed soundness evaluation factors, calculate a soundness index of each of the plurality of watershed soundness evaluation factors based on the normalized result, The final health index can be calculated.

The plurality of watershed prudential factors may be aquatic habitat, habitat, water quality, hydrology, river, land cover, and vegetation.

Wherein the controller is configured to normalize an evaluation factor for each of the plurality of watershed vulnerability assessment factors, calculate a vulnerability index for each of the plurality of watershed vulnerability assessment factors based on the normalized result, The vulnerability index can be calculated.

The plurality of watershed vulnerability assessment factors may be impervious layer changes, climate change, water use change, recent land cover change.

Wherein the controller is further configured to: calculate a watershed resilience index based on the assessment results and the social factor assessment results; generate bubble floats for the watershed resilience and watershed restoration priorities; and based on the bubble float, Priority can be assessed.

1 shows a schematic block diagram of a water resource information providing system according to an embodiment.
Fig. 2 shows a schematic block diagram of the water resource information providing apparatus shown in Fig. 1. Fig.
Figure 3 shows a schematic block diagram of the controller shown in Figure 2;
Figures 4A-4E illustrate examples to illustrate watershed health, watershed vulnerability, watershed resilience, and watershed restoration priorities according to one embodiment.
Figures 5A and 5B illustrate examples to illustrate the basin integrity of the hydrological and water quality in accordance with one embodiment.
6A to 6E show examples for explaining the watershed resilience according to an embodiment.
Figures 7A through 7E illustrate examples for explaining the watershed restoration priority according to one embodiment.
8 is a flow chart for explaining the operation of the water resource information providing apparatus shown in FIG.

It is to be understood that the specific structural or functional descriptions of embodiments of the present invention disclosed herein are presented for the purpose of describing embodiments only in accordance with the concepts of the present invention, May be embodied in various forms and are not limited to the embodiments described herein.

Embodiments in accordance with the concepts of the present invention are capable of various modifications and may take various forms, so that the embodiments are illustrated in the drawings and described in detail herein. However, it is not intended to limit the embodiments according to the concepts of the present invention to the specific disclosure forms, but includes changes, equivalents, or alternatives falling within the spirit and scope of the present invention.

The terms first, second, or the like may be used to describe various elements, but the elements should not be limited by the terms. The terms may be named for the purpose of distinguishing one element from another, for example without departing from the scope of the right according to the concept of the present invention, the first element being referred to as the second element, Similarly, the second component may also be referred to as the first component.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between. Expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. It will be understood that, in this specification, the terms " comprises ", or " having ", and the like are to be construed as including the presence of stated features, integers, But do not preclude the presence or addition of steps, operations, elements, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning of the context in the relevant art and, unless explicitly defined herein, are to be interpreted as ideal or overly formal Do not.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the patent application is not limited or limited by these embodiments. Like reference symbols in the drawings denote like elements.

1 shows a schematic block diagram of a water resource information providing system according to an embodiment.

Referring to FIG. 1, the water resource information providing system 10 includes a water resource information providing apparatus 100 and a user apparatus 300.

The water resource information providing system 10 can provide water resource information on climate change. For example, the water resource information providing system 10 may provide the user with climate change scenarios, watershed health information, watershed vulnerability information, social factor information, watershed resilience information, and watershed restoration priority information.

In addition, the climate change scenario is a plurality of detailed climate change scenarios, a plurality of prioritized climate change scenarios, a plurality of classified climate change scenarios and a plurality of representative climate change scenarios, and the watershed health information Watershed vulnerability information is the normalization index, vulnerability index, final vulnerability index and watershed vulnerability assessment result for watershed vulnerability, and social factor information is the normalization index for social factors The watershed resilience information is the result of the watershed resilience index, the bubble plotting and watershed resilience evaluation of the watershed resilience, and the watershed restoration priority information is the watershed resilience priority. Bubble Floating and Watershed Recovery Ranking can be the result.

The water resource information providing apparatus 100 can determine a plurality of representative climate change scenarios by detailing a plurality of climate change scenarios. In addition, the water resource information providing device 100 can evaluate the watershed health, watershed vulnerability, watershed resilience, and watershed restoration priorities for a plurality of representative climate change scenarios.

The user device 300 may display water resource information for climate change.

The user device 300 may be implemented as a weather station server and / or an electronic device. For example, the electronic device may be implemented as a personal computer (PC), a data server, or a portable device.

The portable electronic device may be a laptop computer, a mobile phone, a smart phone, a tablet PC, a mobile internet device (MID), a personal digital assistant (PDA), an enterprise digital assistant A digital still camera, a digital video camera, a portable multimedia player (PMP), a personal navigation device or a portable navigation device (PND), a handheld game console, an e-book, or a smart device. A smart device can be implemented as a smart watch or a smart band.

In other words, the water resource information providing system 10 can provide a water resource information providing apparatus 100 with detailed information on the plurality of climate change scenarios and evaluating the watershed health, watershed vulnerability, watershed resilience and watershed restoration priorities, To the user using the user device 300.

Fig. 2 shows a schematic block diagram of the water resource information providing apparatus shown in Fig. 1. Fig.

Referring to FIG. 2, the water resource information providing apparatus 100 includes an input interface 110 and a controller 130.

The input interface 110 may receive water resource information for climate change. For example, the input interface 110 may include multiple climate change scenarios, such as water resource information for climate change, long-term observational data, multiple watershed soundness evaluation factors, multiple watershed vulnerability assessment factors, Lt; / RTI >

The controller 130 uses the daily BCSD (daily bias-correction and spatial disaggregation) model, which is a statistical refinement technique, to transform received multiple climate change scenarios into local climate data with resolution matching the input data of the distributed hydrological model In order to reflect long-term trends in extreme climatic events, several climate change scenarios can be detailed (or applied) based on the QDM approach. Thereafter, the controller 130 may determine (or utilize) a plurality of detailed climate change scenarios based on the cluster analysis techniques to avoid repeatedly analyzing similar scenarios according to the correlation between the plurality of detailed climate change scenarios A plurality of representative climate change scenarios can be determined.

The controller 130 may evaluate the watershed health and watershed vulnerability for a plurality of representative climate change scenarios based on the plurality of watershed health assessment factors and the plurality of watershed vulnerability assessment factors. Thereafter, the controller 130 may evaluate the watershed resilience and watershed restoration priorities for a plurality of representative climate change scenarios based on the evaluation results.

That is, the controller 130 may determine a plurality of representative climate change scenarios after detailing the plurality of climate change scenarios in accordance with the long-term trends in resolution and extreme climatic events of the specific region. In addition, the controller 130 can provide water resource information on climate change in a particular region by evaluating watershed health, watershed vulnerability, watershed resilience, and watershed restoration priorities for a plurality of representative climate change scenarios.

Figure 3 shows a schematic block diagram of the controller shown in Figure 2;

Referring to FIG. 3, the controller 130 includes a scenario determination module 131 and a watershed evaluation module 133.

The scenario determination module 131 may obtain a plurality of climate change scenarios. For example, the scenario determination module 131 may determine future day precipitation and day highs and minimums for the same initial conditions for each of RCP 4.5 (representative concentration pathways 4.5) and RCP 8.5 of the CMIP5 (coupled model intercomparison project phase 5) 26 global climate models (GCMs) that provide both temperature data are available. 26 GCMs can be listed in Table 1, listed in high resolution order.

The scenario determination module 131 may refine a plurality of climate change scenarios obtained based on (or applying) the Daily BCSD model. For example, the scenario determination module 131 performs spatial decomposition using a distance weighting method in which a distance between a GCM grid and a viewpoint is weighted through a Daily BCSD model, and then corrects the deviation for each grid through QM (qunatile mapping) You can detail 26 GCMs for each of RCP 4.5 and RCP 8.5.

The cumulative density function formation process for the deviation correction is represented by the first embodiment, and the deviation correction can be represented by the equation (1).

Example 1 shows a graph for cumulative density function consisting of 15 day data before and after the corresponding day for refinement.

는 시간 t에서 편이 보정 전 값,

는 시간 t에서 편이 보정 후 값,

는 전지구 모형을 통해 생성된 과거 기간의 누적 밀도 함수를 나타내고,

는 관측 자료의 누적 밀도 함수의 역함수를 나타낸다.In Equation (1)

Is the value before deviation correction at time t,

Is the post-correction post-correction value at time t,

Represents the cumulative density function of the past period generated by the global model,

Represents the inverse of the cumulative density function of the observed data.

Also, p in the equation (1) represents a projection, h represents a past period, m represents a global model, and o represents an observation.

The scenario determination module 131 can refine a plurality of climate change scenarios based on the QDM scheme (or applying them) to which the Daily BCSD model is applied. For example, the scenario determination module 131 may refine 26 GCMs for RCP 4.5 and RCP 8.5, respectively, reflecting the change of all the quantiles of the reference period and the future period through the QDM scheme.

The change in the quantile number can be expressed by Equations (2), (3), (4), (5) and (6).

)에 대한 분위수(

) 산정을 나타낸다.Equation (2) represents the future period (

Quantile for (

).

)에 해당하는 값(

)을 나타낸다.Equation (3) represents the quantile estimated through the cumulative density function of the reference period

) Corresponding to the value

).

Equation (4) represents the ratio or difference to the value for the future and the reference period for the same quantile. For example, precipitation can be estimated as a ratio and temperature as a difference.

)를 나타낸다.Equation (5) is the quintile value through the cumulative density function of the observations for the same quantile (

).

를 수학식 5에서 산정된

에 곱 또는 더한 최종 결과값(

)을 나타낸다.Equation (6) can be expressed as Equation

Lt; RTI ID = 0.0 >

To the final result value (

).

The scenario determination module 131 can detail a plurality of detailed climate change scenarios for a plurality of ASOS (automated synoptic observing system) observation points. For example, the scenario determination module 131 can detail 26 GCMs for each of the detailed RCP 4.5 and RCP 8.5 targets for 60 ASOS viewpoints in Korea where high-quality long-term observations are available.

The 60 domestic ASOS stations are shown in Table 2.

The scenario determination module 131 can determine the priorities of multiple detailed climate change scenarios based on climate persistence. For example, the scenario determination module 131 may use TOPSIS (a technique for order of preference by similarity to an ideal solution) based on an evaluation system that considers climate sustainability such as trends, distribution, extremes, spatial distribution and continuous precipitation days You can determine the priority of 26 GCMs for RCP 4.5. The 26 GCMs for the prioritized RCP 4.5 are shown in Table 3.

The scenario determination module 131 may classify a plurality of detailed climate change scenarios based on priority and cluster analysis techniques and determine a plurality of representative climate change scenarios among the plurality of classified climate change scenarios.

For example, the scenario determination module 131 uses the KKZ technique (katsavounidis et al., 1994), which is a cluster analysis technique, to increment 26 GCMs for each of the prioritized RCP 4.5 and RCP 8.5, The relative change of the ETCCDI (expert team on climate change detection and indices) can be assessed at each increment. Thereafter, the scenario determination module 131 determines one or more GCMs having a relative change amount of ETCCDI of at least 80% among the 26 GCMs for each of the prioritized RCP 4.5 and RCP 8.5 based on the evaluation results to 2020s (2006 to 2035) 2050s (2036 to 2065), and 2080s (2066 to 2095), respectively.

The scenario determination module 131 may also determine a plurality of representative climate change scenarios among one or more GCMs classified in each of the intervals 2020s (2006-2035), 2050s (2036-2065), and 2080s (2066-2095) .

One or more GCMs for each of the classified RCP 4.5 and RCP 8.5 are shown in Table 4, and a plurality of representative climate change scenarios can be shown in Table 5.

In Table 5, the plurality of representative climate change scenarios are HadGEM2-ES, INM-CM4 and HadGEM2-ES which are all within the priority 9 of the interval of 2020s (2006-2035), 2050s (2036-2065) and 2080s FGOALS-s2.

The watershed assessment module 133 may apply an environmental protection agency (EPA) 2012 process to assess watershed health, watershed vulnerability, and social factors for a plurality of representative climate change scenarios. For example, the EPA 2012 process may be an environmental protection agency (EPA) 2012 process that has been improved on the basis of South Korean watershed characteristics.

The watershed assessment module 133 may include geographic information system (GIS) data, monitoring data, and soil and water assessment tool (SWAT) model data to assess watershed health, watershed vulnerability, and social factors for a plurality of representative climate change scenarios To calculate watershed health indices for a plurality of representative climate change scenarios and to calculate watershed vulnerability indices for a plurality of representative climate change scenarios using GIS data, the monitoring data, the long term comprehensive plan for water resources and the statistical yearbook Data from the Ministry of Government Administration and Home Affairs, Statistics Korea and the Ministry of Environment can be used to calculate social factor indices for multiple representative climate change scenarios.

For example, the watershed assessment module 133 may include a plurality of assessment factors for a plurality of watershed health assessment elements of a plurality of representative climate change scenarios, an assessment of a plurality of watershed vulnerability assessment elements of a plurality of representative climate change scenarios The normalization index can be calculated by normalizing the factor of evaluation of factors and multiple social factor evaluation factors of multiple representative climate change scenarios through the percentile rank method. In this case, the percentile rank method may be a method in which the reference condition index score considered as normal is used as the reference value.

In addition, the multiple watershed prudential factors are water ecology, habitat, water quality, hydrology, rivers, land cover and vegetation, multiple watershed vulnerability assessment elements such as impervious layer change, climate change, water use change and recent land cover change, The degree of financial autonomy, the gross area in the region, and the number of water management officials.

In addition, the multiple assessment factors for land cover and vegetation are natural land cover (or forest, natural grassland, river, wetland) and waterfront natural land cover (or forest, natural grassland, river, wetland) The multiple evaluation factors for the river are mountainous, small river, local river, urban river and national river, and the multiple evaluation factors for the gates are total rainfall, total runoff, surface runoff, infiltration, soil moisture, intermediate runoff, (TN) and total-phosphus (TP), and the multiple assessment factors for habitat are river lengths The number of reservoirs to the basin and the wetland area per standard watershed, and the multiple assessment factors for water quality are the reference values of sticking stone, benthic invertebrate, and fish, The change in water use is a change in water use, the recent change in land cover is a change in land cover, and the degree of financial independence (Or the ratio of autonomous sources to total financial resources of local autonomous entities) by the administrative district, the evaluation factor for the intra-regional gross product is the intra-regional gross product by administrative district, and the evaluation of the number of water management civil servants The element may be the number of water management officials by administrative area (or the number of water service staff in the municipality).

Thereafter, the watershed assessment module 133 calculates the health index of each of the plurality of watershed health assessment factors based on the normalized results, calculates the vulnerability index of each of the plurality of watershed vulnerability assessment factors, The social factor indices of each of the evaluation factors can be calculated.

For example, the watershed assessment module 133 may calculate the health index of each of the plurality of watershed soundness evaluation factors based on the normalization index of each of the evaluation factors for the plurality of watershed soundness evaluation factors, Calculating a vulnerability index for each of a plurality of watershed vulnerability assessment elements based on a normalization index of an evaluation factor for the elements of the plurality of social factor evaluation elements Can be calculated.

The watershed assessment module 133 may calculate a final health index, a final vulnerability index, and a final social factor index based on each health index, each vulnerability index, and each social factor index.

For example, the final health index is a watershed health index used to assess the watershed health of multiple representative climate change scenarios, and the final watershed vulnerability index is the watershed vulnerability index used for watershed vulnerability assessments for multiple representative climate change scenarios , And the final social factor index may be a social factor index used to assess social factors for multiple representative climate change scenarios.

The watershed assessment module 133 may assess watershed health, watershed vulnerability, and social factors for a plurality of representative climate change scenarios based on the final health index, the final vulnerability index, and the final social factor index.

For example, the range of the final health index and the final vulnerability index may be between 0 and 1. Thus, the watershed assessment module 133 evaluates the final health index as being closer to 1 to be a healthy watershed, and the closer the value of the final vulnerability index to 1, the more vulnerable the watershed.

A plurality of evaluation elements for each of the plurality of watershed soundness evaluation elements, a normalization index for each of the plurality of watershed vulnerability assessment elements, and a normalization index of the evaluation element for each of the plurality of social factor evaluation elements, The index is expressed by Equation (7), and the health factor index of each of the plurality of watershed health assessment factors, the vulnerability index of each of the plurality of watershed vulnerability assessment factors, and the social factor index of each of the plurality of social factor evaluation factors are expressed by Equation , The final soundness index, the final vulnerability index, and the final social factor index can be expressed by Equation (9).

The normalized component value in Equation (7) is the normalization index of the evaluation factor for any of the watershed soundness evaluation factor, watershed vulnerability evaluation factor, and social factor evaluation factor, and observed or simulated value for watershed x is the observation of the evaluation factor And the reference value for all watersheds is the reference value of the evaluation factor for any one.

The sub-index of Equation (8) is a whiteness index, vulnerability index, or social factor index for any of the watershed health assessment factor, watershed vulnerability assessment factor, and social factor evaluation factor, and normalized value 1 to normalized value x And the total number of normalized values is the total number of evaluation factors for any one of the evaluation factors.

The watershed health index in equation (9) is the final health index or final vulnerability index or final social factor index for any of the watershed health assessment factor, watershed vulnerability assessment factor and social factor assessment factor, and sub-index 1 to sub-index x Is a plurality of health indices or a plurality of vulnerability indices or a plurality of social factor indices for any one of the plurality of health indices or a plurality of vulnerability indices or a plurality of social indices The total number of factor indices.

The watershed assessment module 133 may evaluate watershed resilience and watershed restoration priorities based on watershed health assessment results, watershed vulnerability assessment results, and social factor assessment results.

For example, the watershed assessment module 133 may use the final health index, final vulnerability index, and final social factor index to calculate the watershed resilience index, generate a bubble plot for watershed resilience and watershed restoration priorities, To assess watershed resilience and watershed restoration priorities.

The watershed resilience index can be expressed by equation (10).

The recovery potential screening in equation (10) is the watershed resilience index, the ecological summary score is the ecological index (or watershed health index, final health index), the social summary score is the final social factor index and the stressor summary score is the stress factor index Or watershed vulnerability index, final vulnerability index).

Bubble plotting for watershed resilience can be described as Example 2.

The X axis of Example 2 is the stress factor index (or watershed vulnerability index, final vulnerability index), the Y axis is the ecological index (or watershed health index, final health index), and the bubble size may be the final social factor index.

The bubble plotting for the waterside restoration priority can be represented by the third embodiment.

Zone A (protected) in Example 3 is a watershed with a high watershed and low vulnerability that is not urgently needed to be restored. Zone B (priority protection) is a watershed with both watershed health and watershed vulnerability, Zone C (recovery) is a watershed with low watershed health and low watershed vulnerability and low priority in terms of achieving recovery and management efficiency. Zone D (Restoration) is a watershed with low watershed health and low watershed vulnerability. First is the watershed to restore, and the mid-range is the watershed that needs to review the recovery priorities according to the situation.

Figures 4A-4E illustrate examples to illustrate watershed health, watershed vulnerability, watershed resilience, and watershed restoration priorities according to one embodiment.

Figure 4A shows the results of the watershed health assessment through the health index of each of the plurality of watershed soundness evaluation elements (INDEX1 to INDEX6).

In the standard watershed 101206, which is the basin of Soyang River Dam, the whiteness indices of INDEX3, INDEX3, INDEX5 and INDEX6 were 0.89, 0.94, 0.90, and 0.91, the watershed goodness index was 1.00 and it was rated as a very healthy area.

In addition, although the soundness index of INDEX4 was lowered to 0.10 in the standard watershed 100201, which is a watershed of Chungju Dam, the soundness indices of the INDEX3 and INDEX2 were 0.96 and 0.93, respectively. .

However, the standard watershed 101801, which is downstream of Paldang Dam, has a low watershed integrity index of 0.26, and the health index of each of the land cover (INDEX1) and water quality (INDEX4) is very low, 0.17 and 0.03.

4B shows the results of the watershed vulnerability assessment through the vulnerability index of each of the plurality of watershed vulnerability assessment elements (INDEX7 to INDEX10).

The watershed vulnerability index of the standard watershed 101206 is 0.20, the index of vulnerability of the climate change index (INDEX8) is 0.40, the change of the precipitation pattern is large, and the vulnerability index of the land cover change index (INDEX10) is 0.36.

The standard watershed 100201 has a watershed vulnerability index of 0.86, a vulnerability index of 0.95 for climate change (INDEX8), a vulnerability index of 0.79 for recent land cover change (INDEX10), a vulnerability index of 0.68 for impervious water layer change (INDEX7) The watershed vulnerability index was evaluated to be high as the change rapidly occurred.

The standard watershed 101801 has a watershed vulnerability index of 0.20 and a vulnerability index of INDEX9 of 0.70, but no impervious change (INDEX7), a vulnerability index of climate change (INDEX8) and recent land cover change (INDEX10) of 0.15 And the watershed vulnerability index was evaluated as low.

FIG. 4C shows the result of social factor evaluation through an evaluation index of each of a plurality of social factor evaluation elements (INDEX 11 to INDEX 13) except for North Korea.

The index of financial independence (INDEX11), total production in the region (INDEX12), and number of water management civil servants (INDEX13) were higher in the metropolitan area. In addition, the social factor index was higher in the metropolitan area, especially in the lower part of Paldang dam.

Figure 4d shows the results of three-dimensional bubble floating (CASE4) and cluster analysis on watershed resilience through watershed health assessment (CASE1), watershed vulnerability assessment results (CASE2), and social factor assessment results (CASE3) Results (CASE5) are shown.

The watershed prerequisites of low watershed pricing (CASE1) were low, the watershed prone and high watershed prism were highly resilient, the watershed prone and low watershed vulnerability assessments (CASE2) The watershed resilience was higher in the watershed than in the watershed, and the social factor index (CASE3) was higher in the watershed resilience. In addition, the watershed prone, watershed vulnerability index, and social factor indexes all showed low watershed resilience.

Based on the watershed resilience assessment results (CAAE5), watershed resilience is most affected by the watershed health index. In particular, watershed resilience is strongly influenced by hydrologic, water quality, and water quality indices of multiple watershed pricing factors.

In other words, watershed resilience is heavily influenced by the watershed health assessment of hydrological and water quality in accordance with multiple representative climate change scenarios.

Figure 4e shows three-dimensional bubble plotting (CASE6) and watershed restoration priority evaluation results (CASE7) on watershed restoration priorities through CASE1, CASE2, and CASE3. ).

The results of the watershed restoration priority evaluation (CASE7) were classified into four categories of watershed restoration priority. For example, the results of the watershed restoration priority evaluation (CASE7) are classified as ZONE A upstream of the Chungju Dam watershed, which has high watershed vulnerability and low watershed vulnerability. The upstream of Soyangang Dam, which has high watershed vulnerability and high watershed vulnerability, (ZONE B), the lower watershed of Paldang Dam with low watershed health and high vulnerability to watershed is classified as the recovery zone (ZONE C), the lower watershed with low watershed health and low watershed vulnerability D), which shows the watershed restoration priority.

The results of the watershed health evaluation of INDEX3 and INDEX4, which are factors of watershed health assessment for multiple representative climate change scenarios, .

It is also assumed that the reference scenarios for comparison with the results of watershed resilience and watershed restoration priorities for multiple representative climate change scenarios are HadGEM3-RA (SCENARIO1) provided by the Korea Meteorological Administration and several representative climate change scenarios are RCP 8.5 (SCENARIO2), INM-CM4 (SCENARIO3), and FGOALS-s2 (SCENARIO4) among a plurality of GCMs for the GCMs. At this time, HadGEM2-ES has 1.875 DEG X 1.250 DEG, INM-CM4 has 2.000 DEG X 0.500 DEG and FGOALS-s2 has 2.816 DEG X 1.6590 DEG resolution.

It is also assumed that the baseline scenario and a plurality of representative climate change scenarios have been reclassified in the past (historical (1980 to 2005), 2020s (2010-2039), and 2050s (2040-2069) periods.

FIGS. 5A and 5B show examples for explaining the hydrologic and water quality basin integrity according to one embodiment, FIGS. 6A to 6E show examples for explaining the basin resilience according to one embodiment, and FIGS. FIG. 4 shows examples for explaining a waterside restoration priority according to an embodiment. FIG.

FIG. 5A shows the results of the hydrological integrity evaluation of a watercraft according to an embodiment.

5A, FIG. 5A illustrates the SWAT modeling for 2020s (2010 to 2039) and 2050s (green) for the baseline scenario (SCENARIO1) and for a plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (2040 to 2069) simulation results were used to evaluate the watershed integrity for total precipitation, total runoff, surface runoff, infiltration, soil moisture, intermediate runoff, runoff, groundwater fill and base runoff.

In addition, the watershed integrity evaluation of the INDEX3 in Fig. 5A showed that the watershed-poor watershed was red, the watershed integrity was unchanged, and the watershed-poor watershed was white.

For example, in the case of the baseline scenario (SCENARIO1), the watershed integrity was evaluated to be low in the 2050s, while the watershed integrity was low in the vicinity of the Han River and low in 2020s. In addition, the river basin integrity evaluation result of the hydrology (INDEX3) was highly evaluated in the watershed health due to the precipitation pattern in 2020s of SCENARIO4 among the representative representative climate change scenarios (SCENARIO2 to SCENARIO4).

FIG. 5B shows the water quality assessment result of the water quality according to one embodiment.

5B, FIG. 5B illustrates the SWAT modeling for 2020s (2010-2039) and 2050s (2040s) of SWAT modeling for the baseline scenario (SCENARIOl) and for a plurality of representative climate change scenarios (SCENARIO2 through SCENARIO4) (2040 to 2069) simulations were used to evaluate the watershed integrity for the sediment, total-nitrogen (TN) and total-phosphrus (TP).

In addition, the results of the watershed integrity evaluation of the water quality (INDEX4) in FIG. 5A are similar to those of the INDEX3 watershed, and the results of the water quality evaluation of the water quality (INDEX4) show that the watershed- It was expressed as a white color.

For example, the watershed integrity of the North and South Chungju watersheds was slightly higher. In addition, some watersheds downstream of Palandang Dam and those downstream of Chungju Dam were evaluated as low in watershed integrity.

Figures 6A through 6E show the basin scenario and the basin resilience for a plurality of representative climate change scenarios.

FIG. 6A is a graph showing the results of extraction of watersheds in which the basin resilience of the watershed resilience against the baseline scenario (SCENARIO1) is poor (GRAPH1a), the basin resilience evaluation results (GRAPH1b), and the basin resilience evaluation results (GRAPH1b) GRAPH1c).

The results of the watershed resilience evaluation (GRAPH1b) for the baseline scenario (SCENARIO1) were estimated to be 103, corresponding to 37% of the total watershed resilience of the historical period for all 237 standard watersheds. However, in the 2020s, it increased by 120% to 13%, and in the 2050s, it was estimated that there were 102 watersheds with the same ratio as the historical (historical).

FIG. 6B is a graph showing the relationship between the basin recovery power (GRAPH2a), the watershed resilience evaluation result (GRAPH2b) and the watershed resilience evaluation result (GRAPH2b) for the SCENARIO2 among the plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (GRAPH2c) for watersheds with poor resilience.

The results of the river basin resilience evaluation (GRAPH2b) for SCENARIO2 were evaluated to be low in the river basin of the Dalcheon upstream and Pyeongchang river basin. In addition, the watershed resilience assessment result (GRAPH2b) for SCENARIO2 was evaluated similarly to the watershed health assessment results of the hydrology (INDEX3).

FIG. 6C is a graph showing the relationship between the basin recovery power (GRAPH3a), the watershed resilience evaluation result (GRAPH3b) and the watershed resilience evaluation result (GRAPH3b) for the SCENARIO3 among the plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (GRAPH3c) for watersheds with poor resilience.

The watershed resilience evaluation result (GRAPH3b) for SCENARIO3 was evaluated to be the highest in the watershed resilience change. The basin resilience evaluation result (GRAPH3b) for SCENARIO3 was evaluated to be lower than that of the basin resilience of the Chungju dam basin, which is similar to the GRAPH2b evaluation result for SCENARIO2.

FIG. 6D is a graph showing the relationship between the basin recovery power (GRAPH4a), the watershed resilience evaluation result (GRAPH4b) and the watershed resilience evaluation result (GRAPH4b) for the SCENARIO4 among the plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (GRAPH4c) for watersheds with poor resilience.

The results of river basin resilience evaluation (GRAPH4b) for SCENARIO4 showed that river basin resilience changed in the Imjin River basin, Chongmeon basin, Soyangang dam basin, and Han river basin. In the 2020s, 45% of the basins were estimated to have low basin resilience, and 37% in the 2050s.

FIG. 6E shows extraction results GRAPH1c to GRAPH4c for a basin having a plurality of basin resilience against the baseline scenario SCENARIO1 and a plurality of representative climate change scenarios SCENARIO2 to SCENARIO4, The number of scenarios.

The basin scenario (SCENARIO1) and a plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) are duplicated basin is the Gapyeongcheon downstream basin and two of the representative scenarios (SCENARIO1) and plural representative climate change scenarios (SCENARIO2 to SCENARIO4) Or three overlapping watershed were evaluated as Pyeongchang River basin and Dalcheon upstream basin.

Figures 7A-7E illustrate a baseline scenario and a basin recovery priority for a plurality of representative climate change scenarios.

FIG. 7A is a graph illustrating a watershed recovery priority (historical) versus historical (historical) ratio in the bubble plotting (GRAPH1d), watershed restoration priority evaluation result (GRAPH1e) and watershed restoration priority evaluation result (GRAPH1e) of the waterside restoration priority for the reference scenario (SCENARIO1) (GRAPH1f) for the watershed where the watershed has deteriorated.

The watershed restoration priority evaluation result (GRAPH1e) for the baseline scenario (SCENARIO1) changed the watershed restoration priority of the Imjin River basin from protection to priority restoration and the watershed restoration priority of the Paldang dam downstream was changed from the priority protection to the restoration .

FIG. 7B is a graph showing the results of the bubble plotting (GRAPH2d), the watershed restoration priority evaluation result (GRAPH2e) and the watershed restoration priority evaluation result (GRAPH2e) for the SCENARIO2 among the plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (GRAPH2f) for watersheds whose watershed restoration priorities have deteriorated from historical to historical.

The results of the watershed restoration priority evaluation (GRAPH2e) for SCENARIO2 were similar to those of GRAPH2b for the SCENARIO2 watershed.

FIG. 7C is a graph showing the results of bubble plotting (GRAPH3d), watershed restoration priority evaluation result (GRAPH3e) and watershed restoration priority evaluation result (GRAPH3e) of the waterside restoration priority for SCENARIO3 among a plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (GRAPH3f) for watersheds whose watershed recovery priorities are worse than historical.

The watershed restoration priority evaluation result (GRAPH3e) for SCENARIO3 has changed the watershed recovery priority most. The watershed restoration priority evaluation result (GRAPH3e) for SCENARIO3 changed the priority of watershed restoration of Pyeongchang River basin from priority protection to restoration, and the priority of watershed restoration between Imjin watershed was changed from protection to priority recovery.

FIG. 7D is a graph showing the results of the bubble plotting (GRAPH4d), the watershed restoration priority evaluation result (GRAPH4e) and the watershed restoration priority evaluation result (GRAPH4e) for the SCENARIO4 among the plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) (GRAPH4f) for watersheds whose watershed recovery priorities are worse than historical.

The watershed restoration priority evaluation result (GRAPH4e) for SCENARIO4 has changed the watershed recovery priority least. The watershed restoration priority evaluation result (GRAPH4e) for SCENARIO4 was changed in the watershed restoration priorities in the upper part of Dalcheon and the lower part of Paldang dam.

FIG. 7E shows extraction results (GRAPH1e to GRAPH4e) for a basin having a plurality of basin recovery priorities for the baseline scenario (SCENARIO1) and a plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) It represents the number of overlapping scenarios in the lower watershed.

There is no overlapping basin scenario (SCENARIO1) and a plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4), and there are no overlapping basins and three of the plurality of representative climate change scenarios (SCENARIO2 to SCENARIO4) Were evaluated as upstream of Cheongmiesun, upstream of Kyungancheon and upstream of Dalcheon.

8 is a flow chart for explaining the operation of the water resource information providing apparatus shown in FIG.

Referring to FIG. 8, the water resource information providing apparatus 100 may detail a plurality of climate change scenarios based on a daily BCSD (quasi-delta-delta mapping) method and a daily BCSD (S810) .

The water resource information providing apparatus 100 may determine a plurality of representative climate change scenarios among the plurality of detailed climate change scenarios based on the cluster analysis technique (S830).

The water resource information providing device 100 may evaluate the watershed health and watershed vulnerability for a plurality of representative climate change scenarios based on the watershed health assessment factors and the watershed vulnerability assessment factors (S850).

The water resource information providing apparatus 100 may evaluate the watershed resilience and restoration priority for a plurality of representative climate change scenarios based on the evaluation results (S870).

The water resource information providing apparatus 100 may provide a plurality of water resource information to the user device 300 (S890).

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (20)

A method for providing water resource information of a water resource information providing apparatus,
Determining a plurality of representative climate change scenarios by detailing a plurality of climate change scenarios in which the water resource information providing apparatus is water resource information on climate change based on a long-term trend of a specific region and an extreme climatic event; And
The water resource information providing device evaluating the watershed consistency, the watershed vulnerability, the social factors, the watershed resilience, and the watershed restoration priorities of the plurality of representative climate change scenarios to provide the water resource information on the climate change of the specific region
Lt; / RTI >
The water resource information on the climate change of the specific region is a plurality of water resources information, and is a climate change scenario, watershed health information, watershed vulnerability information, social factor information, watershed resilience information and watershed restoration priority information,
Wherein the determining comprises:
Wherein the water resource information providing apparatus is configured to refine the plurality of climate change scenarios based on a daily BCSD model for varying the resolution and a QDM (quanltile delta mapping) scheme for reflecting the long-term trend step; And
Determining the plurality of representative climate change scenarios by evaluating a relative change in an expert team on climate change detection and indices (ETCCDI) for a plurality of detailed climate change scenarios based on a cluster analysis technique
Lt; / RTI >
Wherein the providing step comprises:
Wherein said water resource information providing device is adapted to generate said watershed health, said watershed vulnerability and said watershed vulnerability for said plurality of representative climate change scenarios based on a plurality of watershed soundness assessment factors, a plurality of watershore vulnerability assessment factors and a plurality of social factor assessment factors, Evaluating the social factor; And
Providing the water resource information providing apparatus with water resource information on the climate change of the specific area by evaluating the watershed resilience and the waterside restoration priority for the plurality of representative climate change scenarios based on the evaluation result
And a water resource information providing method.
The method according to claim 1,
Wherein the step of refining comprises:
(Representative concentration pathway 4.5) and RCP 8.5 (representative concentration pathway) of CMIP5 (coupled model intercomparison project phase 5) based on the Daily BCSD (bias-correction or spatial disaggregation) model and the QDM pathway 8.5) of a plurality of GCMs (global cilmate models)
And a water resource information providing method.
3. The method of claim 2,
Wherein the step of refining comprises:
Detailing a plurality of detailed global cilmate models (GCMs) for a plurality of automated synoptic observing system (ASOS)
And a water resource information providing method.
The method according to claim 1,
Wherein the determining comprises:
Prioritizing the plurality of detailed climate change scenarios based on climate persistence; And
Classifying the plurality of detailed climate change scenarios based on the priority and the cluster analysis technique and determining the plurality of representative climate change scenarios among the plurality of classified climate change scenarios
And a water resource information providing method.
The method according to claim 1,
Wherein the evaluating comprises:
Calculating a watershed integrity index for the plurality of representative climate change scenarios using geographic information system (GIS) data, monitoring data, and soil and water assessment tool (SWAT) model data; And
Calculating a watershed vulnerability index for the plurality of representative climate change scenarios using the GIS data, the monitoring data, the water resources long-range comprehensive plan, and the statistical yearbook;
And a water resource information providing method.
6. The method of claim 5,
Wherein the step of calculating the watershed health index comprises:
Normalizing a plurality of evaluation factors for each of the plurality of watershed soundness evaluation factors;
Calculating a health index of each of the plurality of watershed soundness assessment factors based on the normalized result; And
Calculating a final health index based on the health index
And a water resource information providing method.
The method according to claim 6,
Wherein the plurality of watershed soundness evaluation elements are water ecology, habitat, water quality, hydrology, river, land cover, and vegetation.
6. The method of claim 5,
Wherein the step of calculating the watershed vulnerability index comprises:
Normalizing an evaluation factor for each of the plurality of watershed vulnerability assessment factors;
Calculating a vulnerability index of each of the plurality of watershed vulnerability assessment elements based on the normalized result; And
Calculating a final vulnerability index based on the vulnerability index;
And a water resource information providing method.
9. The method of claim 8,
Wherein the plurality of watershed vulnerability assessment elements are impervious layer changes, climate change, water use change, and recent land cover change.
The method according to claim 1,
Wherein the providing step comprises:
Calculating a watershed resilience index based on the assessment results and the social factor assessment results, and generating a bubble plot for the watershed resilience and watershed restoration priorities; And
Providing water resource information for the climate change of the specific area by evaluating the watershed resilience and the watershed restoration priority based on the bubble float
And a water resource information providing method.
An input interface for receiving multiple climate change scenarios that are water information for climate change; And
Determining a plurality of representative climate change scenarios by detailing the plurality of climate change scenarios based on a long-term trend for a specific region's resolution and extreme climatic events, and determining a plurality of representative climate change scenarios based on the plurality of representative climate change scenarios, , A social factor, a watershed resilience, and a watershed restoration priority to provide water resource information on the climate change of the specific area
Lt; / RTI >
The water resource information on the climate change of the specific region is a plurality of water resources information, and is a climate change scenario, watershed health information, watershed vulnerability information, social factor information, watershed resilience information and watershed restoration priority information,
The controller comprising:
The plurality of climate change scenarios are detailed based on a Daily BCSD model for varying the resolution and a QAM (Quanltyile Delta Mapping) scheme for reflecting the long-term trend, Determining a plurality of representative climatic change scenarios by evaluating a relative change in an expert team on climate change detection and indices (ETCCDI) for a plurality of detailed climate change scenarios to determine a plurality of representative climatic change scenarios, Evaluating the watershed integrity, the watershed vulnerability and the social factors for the plurality of representative climate change scenarios based on the assessment factors and the plurality of social factor assessment factors, and based on the assessment results, The watershed resilience to the change scenarios and the watershed recovery A controller for providing water resource information on the climate change of the specific region by evaluating the priority,
And the water information providing device.
12. The method of claim 11,
The controller comprising:
(Representative concentration pathway 4.5) and RCP 8.5 (representative concentration pathway) of CMIP5 (coupled model intercomparison project phase 5) based on the Daily BCSD (bias-correction or spatial disaggregation) model and the QDM pathway 8.5). < / RTI >
13. The method of claim 12,
The controller comprising:
A water resource information providing device for specifying a plurality of detailed global cilmate models (GCMs) for a plurality of automated synoptic observing system (ASOS) observation points.
12. The method of claim 11,
The controller comprising:
Prioritizing the detailed plurality of climate change scenarios based on climate persistence, classifying the detailed plurality of climate change scenarios based on the priority and the cluster analysis technique, and classifying the plurality of classified climate change scenarios Wherein the plurality of representative climate change scenarios are selected from among the plurality of representative climate change scenarios.
12. The method of claim 11,
The controller comprising:
(GIS) data, monitoring data, and water resources (GIS) data, monitoring data, and soil and water assessment tool (SWAT) model data for the plurality of representative climate change scenarios, And calculates a watershed vulnerability index for the plurality of representative climate change scenarios using the long term comprehensive plan and statistical yearbook.
16. The method of claim 15,
The controller comprising:
Normalizing a plurality of evaluation factors for each of the plurality of watershed soundness evaluation factors, calculating a soundness index of each of the plurality of watershed soundness evaluation factors based on the normalized result, Water information providing apparatus for calculating an index.
17. The method of claim 16,
Wherein the plurality of watershed soundness evaluation elements are water ecology, habitat, water quality, hydrology, river, land cover, and vegetation.
16. The method of claim 15,
The controller comprising:
Wherein the method further comprises: normalizing an evaluation factor for each of the plurality of watershed vulnerability assessment elements; calculating a vulnerability index of each of the plurality of watershed vulnerability assessment elements based on the normalized result; Water information providing apparatus for calculating water resources.
19. The method of claim 18,
Wherein the plurality of watershed vulnerability assessment elements are impervious layer changes, climate change, water use change, and recent land cover change.
12. The method of claim 11,
The controller comprising:
Computing a watershed resilience index based on the assessment results and the social factor assessment results; generating bubble floats for the watershed resilience and watershed recovery priorities based on the assessment results and the social factor assessment results; Thereby providing water resource information on the climate change in the specific area.

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