Oh Seok Kim

This research portrays the spatial and temporal progression of super-aging in regions throughout South Korea. Using a single-year population projection considering gross domestic migration, this research identifies which regions will shortly become a super-aged society. A cohort-component method with a migrant pool model is applied. The county-level national population registration data (2000-2018) are aggregated into 37 regions for the model run. In 2020, 16 rural regions will become super-aged

Abstract With the increasing concerns in developing methodologies for Reducing Emissions from Deforestation and forest Degradation (REDD) projects, there is a need to understand the characteristics of existing Land‐Use/Cover Change (LUCC) modules. This research presents a modular framework for assessing predictive accuracy of business‐as‐usual deforestation in the future by comparing two existing approaches: GEOMOD Modeling (GM) and Land Change Modeler (LCM). The comparison uses data from a case

South Korea's population is declining and its composition changing, associated with lowest-low fertility rates and rapid aging (super aging). When estimating changes in future exposure to extreme heat events (EHE), events that are predicted to be intensified due to climate change, it is important to incorporate demographic dynamics. We analyze business-as-usual (BAU) population and climate scenarios-where BAU refers to no significant change in current processes and trends in either domain-from 2

The findings emphasize the urgent need for targeted strategies to mitigate national and regional blood supply shortages in South Korea. Encouraging frequent donations from experienced donors and broadening eligibility criteria are critical steps toward stabilizing the blood supply amidst demographic shifts. These strategies must be prioritized to address the impending regional disparities in blood availability.

This paper proposes a new land-change model, the Geographic Emission Benchmark (GEB), as an approach to quantify land-cover changes associated with deforestation and forest degradation. The GEB is designed to determine 'baseline' activity data for reference levels. Unlike other models that forecast business-as-usual future deforestation, the GEB internally (1) characterizes 'forest' and 'deforestation' with minimal processing and ground-truthing and (2) identifies 'deforestation hotspots' using

This study is aimed to compare the strengths and weaknesses of three approaches—analytic hierarchy process analysis, sentiment analysis, and floating population analysis—in estimating the social demands for local forest ecosystem services (ES) in South Korea: Gariwangsan and Yeoninsan. The results were as follows: First, the survey respondents of Gariwangsan and Yeoninsan believed that the cultural ES category was the most fundamental one that should be maintained, whereas they thought the suppo

This paper introduces a mixed method approach for analyzing the determinants of natural latex yields and the associated spatial variations and identifying the most suitable regions for producing latex. Geographically Weighted Regressions (GWR) and Iterative Self-Organizing Data Analysis Technique (ISODATA) are jointly applied to the georeferenced data points collected from the rubber plantations in Xishuangbanna (in Yunnan province, south China) and other remotely-sensed spatial data. According

This dissertation proposes a Geographic Emission Benchmark (GEB) for reducing emissions from deforestation and forest degradation (REDD+). The GEB is designed to function as a "baseline" to indicate reference (carbon) emission levels as business-as-usual if REDD+ does not take place. The GEB is also a new land change model that produces prospective and spatially explicit outcomes. Unlike other land change models forecasting business-as-usual deforestation, the GEB internally (1) characterizes "f

This study examines the land-use and land-cover changes (LUCCs) in Kaesong, a North Korean city, and the area adjacent to the Korean Demilitarized Zone (DMZ). An intensity analysis—a framework decomposing LUCCs into interval, category, and transition levels—is applied to the land-cover maps of 1916, 1951, and 2015 to understand the importance of the historical period and associated land regimes (imperialism and socialism) in shaping LUCCs. The five land-cover classes—Built, Agriculture, Forest,

본 연구는 개발계획이 연안환경에 미치는 직·간접적인 환경영향의 누적 수준을 계량적으로 분석한 결과를 제시한다. 환경영향평가 정보지원시스템과 해양수산부에서 제공하는 해안선 공간자료에 근거하여 연안지역의 개발 양상과 그에 따른 환경영향 수준을 파악하였다. 연안지역에 미치는 개발계획의 환경영향 수준을 계량화하기 위해서 해안선 길이를 지표로 삼아 그 영향 정도를 분석하였다. 1983년부터 2012년 사이에 환경영향평가 협의를 거친 개발계획에 의한 누적 영향을 받은 해안선은 약 1,027km로 나타났으며, 이는 전체 해안선의 약 6.9%에 해당한다. 본 연구는 오랜 기간에 걸친 개발계획으로 인해 연안지역에 누적된 환경영향을 정량적으로 분석했다는 점에서 의의가 있으며, 연구결과는 광역적인 공간구조 설계 및 환경·개발계획 수립을 위한 밑그림은 물론, 지자체 내 개별 개발계획 추진에 따른 환경영향평가 시 필요한 핵심 정보로 활용될 것을 기대한다.

This article addresses potential errors in accounting greenhouse gas (GHG) emissions based on the International Council for Local Environmental Initiatives’ (ICLEI’s) International Local Government Greenhouse Gas Emissions Analysis Protocol (IEAP). The IEAP seems to provide practical guidelines for local governments so that they can measure their GHG emissions. The outcomes are immediately convertible for any national GHG inventory analysis when one is constructed based on the methodology drafte

본 논문의 주된 목적은 천연 라텍스 산출량(natural latex yield) 요인을 파악하는 것이며, 중국 열대지방인 윈난(운남)성 시솽반나 지역을 대상으로 연구를 수행했다. 천연 라텍스는 고무나무의 수액을 의미하며 의료기구, 타이어 등의 원료로 사용되므로 세계적인수요가 급증하고 있다. 하지만, 고무농장을 설립하기 위해서는 토착식생을 대거 제거하는 것이 일반적이며 이러한 이유로 인해 고무농장의 확장은 환경적 부작용을 수반한다. 시솽반나의 생태계는 고무농장의 급속한 확장으로 인해 열대 원시림이 파괴되는 등 지속적인 위협을 받고 있는 상황이고 이를 저감하기 위한 환경보전이 시급하다. 시솽반나 지역에 효과적인 환경보전 및 토지이용 전략을 수립하기 위해서는 어떤 요인이 천연 라텍스 산출량에 영향을 주는지와 요인별 공간적 변이를 파악할 필요가 있다. 본 연구에서는 현지답사를통해 수집한 자료와 위성영상 자료에 지리가중회귀모델(Geographically Weighted Regression,