• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.1
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• pp.89-113
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• 2023

This study aimed to identify heat wave vulnerable areas and discuss spatial typology and policy directions through spatial coincidence analysis of heat wave damage. By utilizing the climate change vulnerability assessment of the Intergovernmental Panel on Climate Change (IPCC) and Spatial Statistics Comparison Analysis, this study examined cities, counties, and districts in South Korea for five years (2015-2019), including 2018, when the heat wave was most extreme. It was determined that the number of heat wave days (exposure) was the most impactful among various factors for heat wave vulnerability. Sensitivity and adaptive capacity to heat waves were found to vary according to regional characteristics. The relationship between heat wave vulnerability and damage was categorized into four types through spatial coherence. Hot to Hot and Cold to Cold types have a positive relationship between vulnerability and damage, while Hot to Cold and Cold to Hot types have a negative relationship. The findings suggest that since different types of regions have distinct characteristics and conditions, policies and research for improvement should be directed to address each region separately. This study may be used as basic data for establishing heat-related policies in the future, as it categorizes regions by considering both heat vulnerability and damage and examines the direction of response by type.

• Journal of Environmental Health Sciences
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• v.39 no.6
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• pp.492-504
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• 2013

Objectives: This analysis seeks to evaluate the impact of environmental health factors (EHF; e.g. hospital beds per capita, employees of medical institutions) on extreme-heat vulnerability assessment in Busan Metropolitan City during 2006-2010. Methods: According to the vulnerability concept suggested by the Intergovernmental Panel on Climate Change (IPCC), extreme-heat vulnerability is comprised of the categories of Exposure, Sensitivity, and Adaptive Capacity (including EHF). The indexes of the Exposure and Sensitivity categories indicate positive effects, while the Adaptive capacity index indicates a negative effect on extreme-heat vulnerability. Variables of each category were standardized by the re-scaling method, and then each regional relative vulnerability was computed with the vulnerability index calculation formula. Results: The extreme-heat vulnerability index (EVI) excepting EHF was much higher in urban areas than in suburban areas within the metropolitan area. When EHF was considered, the difference in the EVI between the two areas was reduced due to the increase of the Adaptive capacity index in urban areas. The low EVI in suburban areas was induced by a dominant effect of natural environmental factors (e.g. green area) within the Adaptive capacity category. Conclusions: To reduce the vulnerability to extreme heat in urban areas, which were more frequently exposed to extreme heat than others areas, public health and natural environments need to be improved in sensitive areas.

• Journal of Environmental Science International
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• v.24 no.3
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• pp.303-316
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• 2015

The relationship between urban spatial structures and GHG-AP integrated emissions was investigated by statistically analyzing those from 25 administrative districts of Seoul. Urban spatial structures, of which data were obtained from Seoul statistics yearbook, were classified into five categories of city development, residence, environment, traffic and economy. They were further classified into 10 components of local area, population, number of households, residential area, forest area, park area, registered vehicles, road area, number of businesses and total local taxes. GHG-AP integrated emissions were estimated based on IPCC(intergovernmental panel on climate change) 2006 guidelines, guideline for government greenhouse inventories, EPA AP-42(compilation of air pollutant emission factors) and preliminary studies. The result of statistical analysis indicated that GHG-AP integrated emissions were significantly correlated with urban spatial structures. The correlation analysis results showed that registered vehicles for GHG (r=0.803, p<0.01), forest area for AP (r=0.996, p<0.01), and park area for AP (r=0.889, p<0.01) were highly significant. From the factor analysis, three groups such as city and traffic categories, economy category and environment category were identified to be the governing factors controlling GHG-AP emissions. The multiple regression analysis also represented that the most influencing factors on GHG-AP emissions were categories of traffic and environment. 25 administrative districts of Seoul were clustered into six groups, of which each has similar characteristics of urban spatial structures and GHG-AP integrated emissions.

• Journal of The Korean Society of Grassland and Forage Science
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• v.35 no.3
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• pp.251-256
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• 2015

The study was conducted to determine greenhouse gas (GHG) inventories in grasslands. After 'Low Carbon Green Growth' was declared a national vision on 2008, Medium-term greenhouse gas reduction was anticipated for 30% reduction compared to Business As Usual (BAU) by 2020. To achieve the reduction targets and prepare to enforce emissions trading (2015), national GHG inventories were measured based on the 1996 Intergovernmental Panel on Climate Change Guidelines (IPCC GL). The national Inventory Report (NIR) of Korea is published every year. Grassland sector measurement was officially added in 2014. GHG removal of grassland soil was measured from 1990 to 2012. Grassland area data of Korea was used for farmland area data in the "Cadastral Statistical Annual Report (1976~2012)". Annual grassland area corresponding to the soil classification was used "Soil classification and commentary in Korea (2011)". Grassland area was divided into 'Grassland remaining Grassland' and 'Land converted to Grassland'. The accumulated variation coefficient was assumed to be the same without time series changes in grassland remaining grassland. Therefore, GHG removal of soil carbon was calculated as zero (0) in grassland remaining grassland. Since the grassland area increases constantly, the grassland soil sinks constantly . However, the land converted to grassland area continued to decrease and GHG removal of soil carbon was reduced. In 2012 (127.35Gg $CO_2$), this removal decreased by 76% compared to 1990 (535.71 Gg $CO_2$). GHG sinks are only grasslands and woodlands. The GHG removaled in grasslands was very small, accounting for 0.2% of the total. However, the study provides value by identifying grasslands as GHG sinks along with forests.

• International Commerce and Information Review
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• v.11 no.4
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• pp.395-418
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• 2009

Appeared in the 1970s he started the global warming problem of carbon reduction, unlike the expected withdrawal of the United States was anticipated to be nominal stripping. However, EU mainly carbon market, buy and sell rights to be disposed of evolution was born. In fact, the current reduction of the Kyoto Protocol, and Korea will be designated as the bureau had been scheduled. However, due to economic recession in Korea's status as exempt countries have enjoyed a considerable period. Global warming is a problem in earnest, however, the United States to participate in one or more such discussions since 2013, clearly this will begin the international order. And international order that is more stringent than expected, and is expected to be strong. Then, however, an interesting thing to justify protection of the environment in some countries to protect domestic industry, the movement is visible is the side. In fact the WTO since the conclusion of all non-tariff trade barriers were abolished. However, recently, New Round of the delay based on reciprocity and fair trade in the framework of environmental protection to justify the movement to protect the domestic industry has been captured. These trends are not friendly, never in Korea. The rationale is that these regulations are enforced, many of our countries and countries with significant trade transactions and the enforcement points. And South Korea's automotive, semiconductors, ships, etc. The main products are much discussed in the international regulations are being referred to as the target point is due. Korean government to actively participate in the international situation and efforts to explore new markets, said yesterday, and 'Low Carbon, Green Growth' was declared. And the Intergovernmental Panel on Climate Change(IPCC) recommendations of the best 30% reduction target was present. This is nothing different about this objection is true. A more fundamental solution to faithfully perform the reduction targets, while the development of environmentally friendly products and the incidence of international standards through the development and expansion of new growth engines, Indeed we are expected to be a fundamental methodology.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.101-101
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• 2019

전 지구적 기온상승으로 인한 기후변화는 사회적, 수문학적, 다양한 분야에 영향을 미친다. 또한 IPCC(Intergovernmental Panel on Climate Change)의 보고서에 따르면 미래에도 지속적으로 기온상승이 예상되며, 이러한 현상은 인류의 삶에 큰 영향을 미칠것으로 예상된다. 또한 수자원 및 관련 분야에서도 기온 상승에 따른 강수량, 강수의 주기 변동, 극한 기후사상의 심도(severity)와 빈도 변화에 따른 다양한 연구가 진행되고 있으며, 미래의 강우량과 온도를 예측하는 기후변화연구에서는 다양한 기후모형을 고려하여 분석한다. 하지만 모든 기후모형이 우리나라에 적합한 것은 아니므로 과거 기후를 모의한 결과를 토대로 성능이 뛰어난 모형의 결과에 더 높은 가중치를 주고 미래를 예측하는 연구가 활발히 진행되고 있다. 일반적으로 기후모형으로 GCM (General Circulation Model) 모의 결과가 이용되는데 우리나라에 대한 GCM 결과의 정확성을 분석하는 연구는 부족한 실정이다. 따라서 본 연구에서는 21개의 GCM을 대상으로 과거 모의 자료(1970년~2005년)를 실제 관측소에서 관측된 강수량과 비교하여 각 GCM들의 성능을 평가하고 이를 토대로, GCM들의 우선순위를 선정하였다. 또한 격자 기반 GCM 결과를 IDW (Inverse Distance Weighted) 방법을 사용하여 기상관측소로 지역적 상세화를 수행하였으며, GCM과 관측자료 사이의 편이를 보정하기 위해 6가지의 Quantile Mapping 방법과 Random Forest 기법을 사용하였다. 또한 편이 보정 기법 중 성능이 좋은 기법을 선택하여 관측소에 적용하였다. 편이 보정된 GCM 모의결과에 대한 성능을 토대로 우수한 GCM 순위를 도출하기 위해 다기준의사결정기법 중 하나인 TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)를 이용하였다. 그리고 GCM의 전망기간인 2010년부터 2018년까지의 Machine learning 방법과 Quantile mapping의 기법을 비교 및 성능이 우수한 편이 보정 방법을 선택한 후 전망기간 동안의 GCM 성능의 우선순위를 선정하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.17-17
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• 2019

IPCC (Intergovernmental Panel on Climate Change) 기후변화 전망보고서에 따르면 RCP 4.5 시나리오 기준, 21세기 전 지구 평균기온은 $2.5^{\circ}C$ 상승(한반도 $+3.0^{\circ}C$)하며, 전 지구 평균강수량은 4.1% 증가(한반도 +16.0%)할 것이라 전망하고 있다(기상청, 2012). 최근 기후변화와 기상이변에 따른 도심지 폭우특성이 변화하고 있음을 많은 연구결과에서 말해주고 있으며, 그 발생 빈도와 강도가 점차 증가하고 있는 추세이다. 특히, 서울시의 경우 인구와 재산이 밀집해 있어 폭우 발생에 의한 시민의 인명과 재산 피해 우려가 크다. 따라서 본 연구에서는 서울시를 대상으로 근미래(~2050년) 기후변화 하에서의 재현기간에 따른 확률강우량 변화 특성을 분석하여 비교 평가한 후 설계 강우량 산정에 활용하고자 하였다. 관측자료 기반 강수량의 변동 특성 분석과 Non-stationary GEV방법을 이용한 비정상성 빈도해석을 수행하였으며, 근미래 폭우특성 변화분석을 위하여 CMIP5 (Coupled Model Intercomparison Project 5)에 참여한 GCMs(General Circulation Models)을 활용한 강우빈도해석을 수행하였다. Mann-Kendall Test와 Quantile Regression을 통한 서울지점 여름철 강수량(June to September)과 기준강수량 초과 강수(30, 50, 80, 100mm/hr), 연간 10th 최대 강수량(Annual Top 10th Precipitation) 등을 분석한 결과 최근 증가 경향이 뚜렷하게 나타났으며, 비정상성 빈도해석에 의한 확률강우량 분석의 가능성과 신뢰성을 확인하였다. 또한 19-GCMs을 통하여 모의된 일(Daily) 단위 강수량자료를 비모수통계적 상세화(Nonparametric Temporal Downscaling) 기법을 적용하여 시간(Hourly) 강우로 다운스케일링하였으며, 서울시 미래 확률강우량에 대한 IDF 곡선(Intensity-Duration-Frequency Curve)을 작성하여 비교?분석한 결과 지속시간 1시간 강우에 대하여 재현기간 30년, 100년 조건에서 확률강우량이 약 4%~11% 수준에서 증가하고 있음을 확인하였다. 본 연구의 결과는 도심지 수공구조물의 설계빈도 영향을 진단하고, 근미래 발생가능한 확률강우량 변화에 따른 시간당 목표 강우량설정의 방법론을 제시하였다는데 의의가 있으며, 서울시의 방재성능목표 설정과 침수취약지역 해소를 위한 기후변화에 따른 수공구조물 설계 시 활용이 가능할 것으로 기대된다.

• Journal of Hydrogen and New Energy
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• v.33 no.6
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• pp.636-642
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• 2022

The "Hydrogen Economic Activation Road map" was announced in 2019, and hydrogen demand is expected to exceed 470,000 tons per year in 2022 and keep increasing. Under this circumstance, it has become important to understand the greenhouse gas (GHG) emissions associated with various hydrogen production pathways. In this study, the evaluation of life cycle GHG emissions regarding the hydrogen produced as by-product from coke oven gas (COG) in steel mill is conducted. To cover the possible range of operations, three literatures were reviewed and their data of inputs and outputs for the process were adopted for calculation. Life cycle inventories and emission factors were mostly referred to GaBi and Intergovernmental Panel on Climate Change (IPCC) guidelines, respectively. When there are multiple products from a single process, the energy allocation method was applied. Based on these sources and the assumptions, the life cycle emission values of COG-based hydrogen were found to be 3.8 to 4.7 kg/CO₂-eq./kg-H₂.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.243-243
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• 2021

담수호는 방조제 건설 및 담수화를 통해 다양한 용수공급을 위해 개발된 수자원으로서 담수화된 수자원은 농업용수로 활용이 가능하다. 특히 간월호의 경우, 담수호 주변이 주로 농경지로 이루어져 있으며, 담수화된 수자원은 농업용수를 공급하기 위해 활용되고 있다. 따라서 간월호의 수자원 관리를 위한 장기적인 계획 수립을 위해서는 간월호의 주요 용수공급 대상이 되는 농경지 물수요량의 미래 변화에 대한 평가가 우선되어야 한다. 최근 IPCC (Intergovernmental Panel on Climate Change)에서는 기존 대표농도경로에 사회·경제 조건을 추가하여 공동 사회-경제 경로 (SSP, Shared Socioeconomic Pathways)라는 개념을 새롭게 제안하였으며, 이를 기반으로 6차 평가보고서 (6th Assessment Report, AR6)를 발간한 바 있다. 본 연구에서는 CMIP6 기후변화 자료를 기반으로 한 기후변화 자료를 통해 담수호 유역의 농업용수 수요량 변화를 평가하였으며, Makov chain 모형을 이용한 토지이용변화 자료를 검토하여 기후변화 뿐만 아니라 토지이용변화를 함께 고려한 미래 농업용수 수요량 변화 평가를 수행하였다. 이를 통해 CMIP6 시나리오별 미래 농업용수 수요량 변화를 검토하고, 현재 간월호의 용수공급 능력과 비교를 통해 간월호의 수자원 관리 능력을 평가하는 것이 본 연구의 목적이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.369-369
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• 2022

기후변화에 관한 정부간 합의체 (IPCC, Intergovernmental Panel on Climate Change) 6차 보고서에서 이번 세기 중반까지 현 수준의 온실가스 배출량을 유지한다면 2021~2040년 중 1.5℃를 초과할 것이다. 이러한 기후의 변화로 인한 기온상승 영향으로 과거와는 달리 산림변화는 과거와 다르게 침엽수는 감소하고 활엽수는 증가하는 추세다. 본 연구에서는 유역 대부분이 산림으로 금강 상류의 용담댐유역 (930.2 km²)을 대상으로 SWAT (Soil and Water Assessment Tool)을 이용하여 장기간 산림변화에 따른 수문 구성요소를 평가하였다. MOD15A2 LAI 및 임상도 자료를 10년 단위 (1980s (1980~1989), 2000s (2000~2009), 2010s (2010~2019))를 이용해 임상별 (침엽수림, 활엽수림, 혼효림) 및 산림 높이를 구축하였다. 임상별 산정된 LAI를 기초로 SWAT의 임상별 LAI 및 수문 검·보정을 통해 용담댐유역 현황을 재현하였다. 모형의 적용성 평가는 R²를 이용하였으며, 임상별 (침엽수, 활엽수, 혼효림) LAI는 0.95, 0.89, 0.90로 증발산량은 0.51, 토양수분은 0.5~0.55로 유량의 경우 0.69로 산정되었다. 산림변화에 따른 1980s는 LAI 자료가 없기에 2000s 및 2010s의 식생 높이 및 LAI를 멱함수로 회귀하여 1980s 엽면적지수를 산정하였다. 기상자료는 2010s로 고정하고 산림 성장이 물순환에 미치는 영향을 1980s 및 2010s의 수문 비교를 시공간적으로 평가할 예정이다.