• 한국농공학회논문집
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• 제57권1호
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• pp.37-45
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• 2015

Recent droughts in South Korea have had large economic and environmental impacts across the country. Changes in rainfall and hydrologic patterns due to climate change can potentially increase the occurrence of extreme droughts and affect the future availability of water resources. Therefore, it is necessary to evaluate drought vulnerability for water resources planning and management, and identify the appropriate mitigation actions to conduct a drought risk analysis in the context of climate change. The objective of this study is changes in the temporal trends of drought characteristics in South Korea to examine drought impacts under climate change. First, the changes of drought occurrence were analyzed by applying the Standardized Precipitation Evapotranspiration Index (SPEI) for meteorological data on 54 meteorological stations, and were analyzed for the past 30 years (1981-2010), and Representative Concentration Pathways (RCP) climate change scenarios (2011-2100). Second, the changes on the temporal trends of drought characteristics were performed using run theory, which was used to compare drought duration, severity, and magnitude to allow for quantitative evaluations under past and future climate conditions. These results show the high influence of climate change on drought phenomenon, and will contribute to water resources management and drought countermeasures to climate change.

• 대한토목학회논문집
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• 제37권4호
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• pp.759-764
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• 2017

본 연구는 홍수로 인한 건물침수 발생지역과 시가지 확장현상 사이에 어떠한 공간적 상관성이 존재하는가를 살펴보는 것을 목적으로 하고 있다. 이를 위하여 본 연구는 강릉시 일대를 대상으로 Urban Expansion Intensity Index 와 Hotspot Analysis를 이용하여 공간적 상관성을 살펴보았다. 연구대상지 분석을 통한 주요결과는 다음과 같다. 첫째, 건물침수가 많이 발생하는 지역은 도시확장강도가 높으며 또한 그러한 확장이 짧은 기간에 이루어진 가도시화 성격이 강할수록 건물침수 발생 강도가 증가하였다. 둘째, 양호한 도시기반시설이 미흡하다고 여겨지는 구도심지역은 상대적으로 전체 연구대상지의 평균수준으로 건물침수가 발생하고 있는 것으로 나타났다. 본 연구는 높은 개발강도와 더불어 체계적인 도시기반시설마련의 가능성을 제한하는 비교적 짧은 기간의 도시개발 또는 가도시화는 주택침수발생현상을 유발한다는 가능성을 보여주고 있다. 이러한 개연성은 공동주택지와 같은 신규개발지 증가가 신규개발지 인근 기개발지의 홍수취약성을 인접지역 신규개발 이전 상태에 비해 증가시킬 수 있다는 것으로 유추해 볼 수 있으므로 이러한 인과관계에 대한 향후 실증분석이 필요하다고 판단된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.7-10
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• 2005

Plant water deficiency during drought season causes physiological stress and can be a critical indicator of forest fire vulnerability. In this study, we attempt to analyze the spectral characteristics of water stressed vegetation by using the laboratory measurement on leaf samples and the canopy reflectance spectra extracted from satellite hyperspectral image data. Leaf-level reflectance spectra were measured by varying moisture content using a portable spectro-radiometer. Canopy reflectance spectra of sample forest stands of two primary species (pine and oak) located in central part of the Korean peninsula were extracted from EO-l Hyperion imaging spectrometer data obtained during the drought season in 2001 and the normal precipitation year in 2002. The preliminary analysis on the reflectance spectra shows that the spectral characteristics of leaf samples are not compatible with the ones obtained from canopy level. Although moisture content of vegetation can be influential to the radiant flux reflected from leaf-level, it may not be very straightforward to obtain the spectral characteristics that are directly related to the level of canopy moisture content. Canopy spectra form forest stands can be varied by structural variables (such as LAt, percent coverage, and biomass) other than canopy moisture content.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.149-149
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• 2022

Accurate quantitative evaluation of baseflow contribution to streamflow is imperative to address seasonal drought vulnerability, flood occurrence and groundwater management concerns for efficient and sustainable water resources management in watersheds. Several baseflow separation algorithms using recursive filters, graphical method and tracer or chemical balance have been developed but resulting baseflow outputs always show wide variations, thereby making it hard to determine best separation technique. Therefore, the current global shift towards implementation of artificial intelligence (AI) in water resources is employed to compare the performance of deep learning models with conventional hydrograph separation techniques to quantify baseflow contribution to streamflow of Piney River watershed, Tennessee from 2001-2021. Streamflow values are obtained from the USGS station 03602500 and modeled to generate values of Baseflow Index (BI) using Web-based Hydrograph Analysis (WHAT) model. Annual and seasonal baseflow outputs from the traditional separation techniques are compared with results of Long Short Term Memory (LSTM) and simple Gated Recurrent Unit (GRU) models. The GRU model gave optimal BFI values during the four seasons with average NSE = 0.98, KGE = 0.97, r = 0.89 and future baseflow volumes are predicted. AI offers easier and more accurate approach to groundwater management and surface runoff modeling to create effective water policy frameworks for disaster management.

• 한국방재안전학회논문집
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• 제13권2호
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• pp.1-9
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• 2020

베트남의 도시들은 지리적 특성으로 인해 기후변화에 따른 홍수 위험성이 높은 상황인데, 빠르게 도시지역이 확장됨에 따라 홍수위험성은 더욱 가중되고 있다. 본 연구에서는 도시확장강도지수를 활용하여 지난 10년간(2007년-2017년) 베트남 국가차원에서의 도시확장 추세를 확인한 후, 기후변화 영향이 크고 확장속도가 빠른 지역으로서 후에시를 선정하여 홍수발생가능성을 확인하였다. 그 결과 홍강델타, 메콩델타, 해안지역의 주요 도시 주변으로 확장되었으며, 후에시의 경우 확장속도가 빠른 지역일수록 예상침수면적이 높은 것으로 나타났다. 이는 향후에 홍수재해 위험성이 더욱 커질 수 있음을 의미한다. 재해취약성분석 제도 등 국내의 도시방재정책은 베트남 급성장지역에서 기후변화를 고려한 도시계획 수립 시 도움이 될 것이다.

• 한국환경과학회지
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• 제22권4호
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• pp.507-514
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• 2013

The Nakdong River being used as drinking water sources for the Busan metropolitan city has the vulnerability of water management due to the fact that industrial areas are located in the upper Nakdong River. This study used emergy analysis method to evaluate ecological-economics of water treatment systems of D water treatment plant (WTP) where located in the downstream of the Nakdong River. The emergy methodology is a system evaluation tool that uses energy as the common currency to compare different resources on a common basis. Emergy yield ratio (EYR) and emergy sustainability index (EmSI) of D WTP were 1.16 and 0.18, respectively. It means not resources and sustainable system but consumer goods and not sustainable system. Ratio of emergy benefit to the purchaser (EBP) shows 2.7 times higher than economic costs. To change the weak water source and situations we need to diversity water intake.

• 한국방재학회 논문집
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• 제10권6호
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• pp.89-97
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• 2010

본 연구에서는 현재 및 미래기후에서의 가뭄심도-영향면적-지속기간 곡선의 비교를 통하여 극한 가뭄사상의 시공간적 거동에 대한 기후변화의 영향을 살펴보았다. 미래기후는 CGCM3.1-T63과 CSIRO-MK3.0으로부터 획득되었다. 분석 결과 CGCM3.1-T63의 경우에는 미래가뭄이 현재와 비슷할 것으로 예측되었으나, CSIRO-MK3.0의 경우에는 연강수량 총량의 변화가 거의 없음에도 불구하고 미래가뭄이 현재보다 더 극심해질 것으로 예측되었다. 이에 따라 현재의 수자원 공급 시스템에 대한 기후변화 취약성 평가가 시급함을 제시하고 있다.

• Mycobiology
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• 제50권6호
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• pp.448-456
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• 2022

In this study, the roots and rhizosphere soil of Abies koreana and Taxus cuspidata were collected from sites at two different altitudes on Mt. Halla. Ectomycorrhizal fungi (EMF) were identified by Illumina MiSeq sequencing. The proportion of EMF from the roots was 89% in A. koreana and 69% in T. cuspidata. Among EMF in rhizosphere soils, the genus Russula was the most abundant in roots of A. koreana (p < 0.05). The altitude did not affect the biodiversity of EMF communities but influenced fungal community composition. However, the host plants had the most significant effect on EMF communities. The result of the EMF community analysis showed that even if the EMF were isolated from the same altitudes, the EMF communities differed according to the host plant. The community similarity index of EMF in the roots of A. koreana was higher than that of T. cuspidata (p < 0.05). The results show that both altitude and host plants influenced the structure of EMF communities. Conifers inhabiting harsh sub-alpine environments rely strongly on symbiotic relationships with EMF. A. koreana is an endangered species with a higher host specificity of EMF and climate change vulnerability than T. cuspidata. This study provides insights into the EMF communities, which are symbionts of A. koreana, and our critical findings may be used to restore A. koreana.

• 한국환경복원기술학회지
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• 제25권6호
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• pp.1-11
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• 2022

Recently, climate change has been regarded as a major cause of large-scale forest fires worldwide, and there is concern that more frequent and severe forest fires will occur due to the level of greenhouse gas emissions. In this study, the daily Keetch and Byram Drought Index (KBDI) of the Baekdudaegan in Chungcheong region including Sobaeksan, Songnisan, and Woraksan National Parks were calculated to assess effect of climate change on the forest fire potential- severity of annual maximum KBDI and frequency of high KBDI days. The present (2000~2019) and future KBDI(2021~2040, 2041~2060, 2081~2090) were calculated based on the meteorological observation and the ensemble regional climate model of the SSP1-2.6 and SSP5-8.5 scenarios with a spatial resolution of 1-km provided by Korea Meteorological Administration(KMA). Under the SSP5-8.5 scenario, 6.5℃ increase and 14% precipitation increase are expected at the end of the 21st century. The severity of maximum daily KBDI increases by 48% (+50mm), and the frequency of high KBDI days (> 100 KBDI) increases more than 100 days, which means the high potential for serious forest fires. The analysis results showed that Songnisan National Park has the highest potential for forest fire risk and will continue to be high in intensity and frequency in the future. It is expected that the forest vulnerability of the Baekdudaegan in the Chungcheong region will greatly increase and the difficulty in preventing and suppressing forest fires will increase as the abundance of combustible materials increases along with climate changes.

• 대한토목학회논문집
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• 제42권2호
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• pp.263-272
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• 2022

폭염과 도시열섬현상은 기후변화가 진행됨에 따라 피해가 더욱 커지고 있으며, 2050년까지 폭염 발생빈도는 2~6배가 증가될 것으로 예측된다. 특히, 폭염기간동안 건설공사현장에서의 근로자가 느끼는 더위체감지수는 매우 높으며, 도시열섬현상까지 고려하게 되면 체감지수는 더욱 높아진다. 열에 취약한 건설현장 환경과 건설근로자의 상황은 나아지지 않고 있으며, 피해를 줄이기 위해서는 효과적인 대응이 필요한 시점이다. 본 연구에서는 인공위성영상 이미지와 Land Surface Temperature (LST)와 Long Short Term Memory (LSTM) 딥러닝 모델 기법을 적용하여 33℃ 이상 온도가 되는 지역을 분석하고, 폭염에 취약한 건설공사현장을 식별하여 폭염 및 도시열섬현상의 복합적인 피해를 가중시킬 수 있는 가장 취약한 지역을 예측하여 도출하였다. 예측 결과를 통해 건설근로자의 안전을 보장하고, 건설현장 경보시스템의 기반이 될 수 있기를 기대한다.