• Journal of Korea Water Resources Association
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• v.51 no.9
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• pp.747-759
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• 2018

Multivariate regional frequency analysis has advantages of regional and multivariate framework as adopting a large number of regional dataset and modeling phenomena that cannot be considered in the univariate frequency analysis. To the best of our knowledge, the multivariate regional frequency analysis has not been employed for hydrological variables in South Korea. Applicability of the multivariate regional frequency analysis should be investigated for the hydrological variable in South Korea in order to improve our capacity to model the hydrological variables. The current study focused on estimating parameters of regional copula and regional marginal models, selecting the most appropriate distribution models, and estimating regional multivariate growth curve in the multivariate regional frequency analysis. Annual maximum rainfall and duration data observed at 71 stations were used for the analysis. The results of the current study indicate that Frank and Gumbel copula models were selected as the most appropriate regional copula models for the employed regions. Several distributions, e.g. Gumbel and log-normal, were the representative regional marginal models. Based on relative root mean square error of the quantile growth curves, the multivariate regional frequency analysis provided more stable and accurate quantiles than the multivariate at-site frequency analysis, especially for long return periods. Application of regional frequency analysis in bivariate rainfall-duration analysis can provide more stable quantile estimation for hydraulic infrastructure design criteria and accurate modelling of rainfall-duration relationship.

• Journal of Korea Water Resources Association
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• v.34 no.2
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• pp.119-130
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• 2001

At-site and regional frequency analyses of annual maximum 1-, 2-, and 3-days rainfall in Han River basin was performed and compared based on the regional L-moments algorithm. To perform regional frequency analysis, Han River basin was subdivided into 3 sub-basins such as South Han River, North Han River, and downstream regions. For each sub-basin, the discordancy and homogeneity tests were performed. As the results of goodness of fit tests, lognormal model was selected as an appropriate probability distribution for both South Han River and downstream regions and gamma-3 model for North han River region. From Monte carlo simulation, RBIAS and RRMSE of the estimated quantiles from regional frequency analysis and at-site frequency analysis were calculated and compared each other. Regional frequency analysis shows less RRMSE of the estimated quantiles than at-sites frequency analysis in overall return periods. The differences of BRMSE between two approaches increase as the return period increases. As a result, it is shown that regional frequency analysis performs better than at-site analysis for annual maximum rainfall data in Han River basin.

• Geophysics and Geophysical Exploration
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• v.22 no.2
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• pp.80-87
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• 2019

In this paper, we propose a method to apply the polynomial fitting for regional-residual separation of microgravity data based on the characteristics of gravity anomaly without a prior information. Since the microgravity survey is usually carried out in small regions, it is common to approximate regional anomaly by the first-order polynomial plane. However, if the regional anomaly patterns are difficult to be approximated to a first-order plane, the complete gravity anomaly is divided into small zones enough to approximate first-order plane by means of Parasnis density estimation method. The regional-residual separation is then applied on the splitted zones individually. When the gravity anomalies can be splitted spatially, we showed that the residual anomalies can be more effectively extracted based on the regional geological structures by regional anomaly separation from each of the divided regions, rather than applying the entire data set at one time.

• Smart Media Journal
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• v.6 no.4
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• pp.101-109
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• 2017

Traditional cultural resources in the region have unique cultural characteristics and are highly likely to be differentiated content resources. Therefore, when local cultural resources are developed as content, they can be given a role as a brand symbolizing the region together with economic value creation. In this paper, we propose a method to utilize traditional cultural resources in Jeonnam region as content material and to strengthen the connection with 'Namdo Renaissance' project contents in Jeonnam province. We propose seven regions as a region with content relevance for inter-regional collaboration through resource elements and analysis of Jeonnam cities and counties. We suggest "Story SarangBang" so that we can uncover and systematize stories with symbolic character by region. The developed story resources are developed as experiential contents through realistic media production technology and virtual reality platform and expanded to tourism contents and expanded to the window effect of contents. Also, by expanding cooperation governance between regions, it is possible to enhance opportunities for development of joint contents and enhance utilization as tourist contents, thereby contributing to regional economic development and related industries development.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.6
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• pp.17-29
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• 2013

Recently, the importance of forest landscape as a visual resource has been increased, so it is emphasized that the necessity of forest landscape management through 'Forest landscape management master plan' and 'National Forest landscape belt'. As such, this study aims to suggest a method for forest landscape management plan considering visual landscape analysis and regional landscape resources in case of Sangju-si, Gyeongsangbuk-do. Accordingly, this study has investigated regional landscape resources and surveyed existing forest conditions of target area. In order to analyze the characteristics of visual landscape, landscape control points are selected through viewshed analysis. And, Forest landscape plan is suggested 3 areas considering comprehensive analysis of forest landscape resources survey and characteristics of visual landscape:the landscape resource management area, the landscape resource restoration area and the landscape resources exploit area.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.427-441
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• 2011

This study developed the Climate Variability Index (CVI) to assess the water resources through adding detail indicators into the existing regional Water Poverty Index (WPI) to consider climate variability and flood damage. This study aims at selecting indicators of WPI focused on water availability and regional climate variability, assessing regional variability of the indices during 1998-2007, and providing information to help determining the priority of water sector policies, investment, and applications. The WPI represents the relationship between the level of welfare and the water use. Considered with flood management and climate variability, CVI added by regional characteristics may be used in water resources management as well as flood mitigation for coping with climate change.

• KDI Journal of Economic Policy
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• v.29 no.1
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• pp.41-78
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• 2007

Due to the concern of regional unbalance relating to healthcare resources, the government has set up a plan to expand public healthcare services and a policy to manage the supply of hospital beds. However, it is not clear what standards are needed to measure the degree of unbalance, and to what extent the gap needs to be narrowed. Unlike the previous methodology comparing the proportions of patients who move out from their administrative district to receive medical services, this study examines the inconvenience gap patients experience when they have to move out from their actual living area. The logit and multinomial logit models are employed. The regional unbalance decreases when the degree of movement is measured based on the living area. This result implies that essential standard for achieving regional balance relating to medical services need to be based not on the even distribution of medical resources, but the complications of regional people that require proper medical services.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.301-314
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• 2005

The purpose of this study is to inquiry specialized development strategies to revive the declining regional tourism in Japan, through the general characteristics of tourists and the evaluation of various tourism resources. Reaching its period of maturity after the bubble economy collapse, domestic tourism in Japan requires a change in quality of the regional tourism industry. The Kakeyu spa region, which has long history and abundant cultural resources, is specializing through rehabilitation strengthening theme of 'health seeking and recuperation'. The rate of the elderly women visitors is high in the Kakeyu spa, and the visitors use public transport and make a relatively long stay, because they want to recuperate their health or to cure their disease. In the evaluation of tourism resources, the visitors showed an increasing interest in the solemn temple scenery and the tranquil stroll road which are near by their lodgings. To reflect such demand characteristics, the Kakeyu community is actively developing the business such as rehabilitation, health-food development, voluntary service, and barrier free based on spa, culture, and nature.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.985-999
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• 2019

Over the last decade, droughts have become more severe and frequent in many regions, and several studies have been conducted to explore the recent drought. Copula-based bivariate drought frequency analysis has been widely used to evaluate drought risk in the context of point frequency analysis. However, the relatively significant uncertainties in the parameters are problematic when available data are limited. For this reason, the primary purpose of this study is to develop a regional drought frequency model based on the Copula function. All parameters, including marginal and copula functions in the regional frequency model, were estimated simultaneously. Here, we present a case study of recent drought 2013-2015 over the Han-River watershed where severe drought risk is consistently found to increase. The proposed model provided a reliable way to significantly reduce the uncertainty of parameters with a Bayesian modeling framework. The uncertainty of the joint return period in the regional frequency analysis is nearly three times lower than that of the point frequency analysis. Accordingly, DIC values in the regional frequency analysis model are significantly decreased by 15. The results confirm that the proposed model is not only reliably representing characteristics of historical droughts and dependencies between drought variables, but also providing the efficacy of understanding regional drought characteristics.

• Journal of Korea Water Resources Association
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• v.55 no.8
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• pp.589-601
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• 2022

Although drought is a natural phenomenon, its damage occurs in combination with regional physical and social factors. Especially, related to the supply and demand of various waters, drought causes great socio-economic damage. Even meteorological droughts occur with similar severity, its impact varies depending on the regional characteristics and water supply system. Therefore, this study assessed regional drought risk considering regional socio-economic factors and water supply system. Drought hazard was assessed by grading the joint drought management index (JDMI) which represents water shortage. Drought vulnerability was assessed by weighted averaging 10 socio-economic factors using Entropy, Principal Component Analysis (PCA), and Gaussian Mixture Model (GMM). Drought response capacity that represents regional water supply factors was assessed by employing Bayesian networks. Drought risk was determined by multiplying a cubic root of the hazard, vulnerability, and response capacity. For the drought hazard meaning the possibility of failure to supply water, Goesan-gun was the highest at 0.81. For the drought vulnerability, Daejeon was most vulnerable at 0.61. Considering the regional water supply system, Sejong had the lowest drought response capacity. Finally, the drought risk was the highest in Cheongju-si. This study identified the regional drought risk and vulnerable causes of drought, which is useful in preparing drought mitigation policy considering the regional characteristics in the future.