• 제목/요약/키워드: Climate indices

검색결과 259건 처리시간 0.026초

기후변화 조건에서 콩 한발스트레스에 대한 광화학 반사 지수 반응 평가 (Evaluation of Photochemical Reflectance Index (PRI) Response to Soybean Drought stress under Climate Change Conditions)

  • 상완규;김준환;신평;백재경;이윤호;조정일;서명철
    • 한국농림기상학회지
    • /
    • 제21권4호
    • /
    • pp.261-268
    • /
    • 2019
  • 한발 발생이 갈수록 증가하고 있는 가운데, 작물의 생리생화학적 기작과 광합성능을 효율적으로 진단 및 평가 할 수 있는 방법을 찾는 것은 매우 중요한 과제이다. 본 연구를 통해 광화학 반사 지수인 PRI가 콩의 한발 스트레스에 대하여 고온과 고CO2 등 미래 기후 변화 환경에서도 유의미한 생육 지표로 활용될 수 있음을 확인하였다. PRI와 대표적 한발 생육지표들(군락 광이용효율, 건물중 변동율, 엽록소 형광, 기공전도도)과의 밀접한 관계를 통해 한발 스트레스 하에서 콩의 광합성 활성과 생장량을 원격으로 모니터링할수 있는 진단 모델 개발의 가능성을 볼 수 있었다. 다만 향후 고온, 고CO2 등 기후변화 조건에서 PRI의 성능에 대한 지속적인 평가와 함께 민감도 향상을 위한 광학지표 개발 및 모델 개선 연구가 선행되어야 할 것으로 보인다.

Tracking the Movement and Distribution of Green Tides on the Yellow Sea in 2015 Based on GOCI and Landsat Images

  • Min, Seung-Hwan;Oh, Hyun-Ju;Hwang, Jae-Dong;Suh, Young-Sang;Park, Mi-Ok;Shin, Ji-Sun;Kim, Wonkook
    • 대한원격탐사학회지
    • /
    • 제33권1호
    • /
    • pp.97-109
    • /
    • 2017
  • Green tides that developed along the coast of China in 2015 were detected and tracked using vegetation indices from GOCI and Landsat images. Green tides first appeared near the Jiangsu Province on May 14 before increasing in size and number and moving northward to the Shandong Peninsula in mid-June. Typhoon Cham-hom passed through the Yellow Sea on July 12, significantly decreasing the algal population. An algae patch moved east toward Korea and on June 18 and July 4, several masses were found between the southwestern shores of Korea and Jeju Island. The floating masses found in Korean waters were concentrated at the boundary of the open sea and the Jindo cold pool, a phenomenon also observed at the boundary of coastal and offshore waters in China. Sea surface temperatures, derived from NOAA SST data, were found to play a role in generation of the green tides.

기후변화와 서식지 수온 변화에 따른 북서태평양 살오징어(Todarodes pacificus)의 어획량 변동 (Fluctuations of Common Squid Todarodes pacificus Catches in the Northwestern Pacific under Changing Climate and Habitat Temperature)

  • 송혜진
    • 한국수산과학회지
    • /
    • 제51권3호
    • /
    • pp.338-343
    • /
    • 2018
  • Recently, commercial catches of the common squid Todarodes pacificus have dramatically decreased in Korean and Japanese waters. The relationship between common squid catches and environmental factors was investigated using squid catches, climate indices and observed seawater temperatures in Korean waters. Common squid consist of three spawning stocks: autumn, winter, and summer. The autumn stock is the largest in Korea, and its main fishing season appears to have shifted from September in the 1980s to October in the 1990s. We observed negative correlations between the spring Southern Oscillation Index and Korean catches and between the winter Pacific Decadal Oscillation and Japanese catches. Despite global warming, no conspicuous increases in October seawater temperatures have been observed at 10 and 50 m in Korean waters since the mid-1900s. Instead, the 50 m water layer of the East Sea appears to be gradually cooling. Moreover, temperatures at 50 m in the East Sea and the South Sea were significantly negatively correlated with squid catches in Korea and Japan, respectively. Our preliminary analysis indicates a link between climate change, seawater temperature, and squid catches in Korean waters, which helps to inform the direction of subsequent research to identify the cause of rapid decreases in this squid resource.

Drought Forecasting with Regionalization of Climate Variables and Generalized Linear Model

  • Yejin Kong;Taesam Lee;Joo-Heon Lee;Sejeong Lee
    • 한국수자원학회:학술대회논문집
    • /
    • 한국수자원학회 2023년도 학술발표회
    • /
    • pp.249-249
    • /
    • 2023
  • Spring drought forecasting in South Korea is essential due to the sknewness of rainfall which could lead to water shortage especially in spring when managed without prediction. Therefore, drought forecasting over South Korea was performed in the current study by thoroughly searching appropriate predictors from the lagged global climate variable, mean sea level pressure(MSLP), specifically in winter season for forecasting time lag. The target predictand defined as accumulated spring precipitation(ASP) was driven by the median of 93 weather stations in South Korea. Then, it was found that a number of points of the MSLP data were significantly cross-correlated with the ASP, and the points with high correlation were regionally grouped. The grouped variables with three regions: the Arctic Ocean (R1), South Pacific (R2), and South Africa (R3) were determined. The generalized linear model(GLM) was further applied for skewed marginal distribution in drought prediction. It was shown that the applied GLM presents reasonable performance in forecasting ASP. The results concluded that the presented regionalization of the climate variable, MSLP can be a good alternative in forecasting spring drought.

  • PDF

물 빈곤지수와 기후 변동성지수의 국내 적용을 통한 지역별 수자원 특성 분석 (Analysis of Regional Water Resources Characteristics Through Applying the Water Poverty Index and the Climate Variability Index)

  • 홍승진;최시중;백승협;강성규
    • 한국습지학회지
    • /
    • 제13권3호
    • /
    • pp.427-441
    • /
    • 2011
  • 본 연구는 수자원 상황을 평가하기 위하여 기존에 개발된 물 빈곤지수에 지역적 기후변동성 및 홍수피해를 평가할 수 있는 세부지표를 추가한 기후 변동성지수를 개발하여 국내에 적용하였다. 물이용 평가에 초점이 맞추어진 물 빈곤지수 세부지표를 선정하고 지역적 특성에 따른 치수 및 기후변동성 내용이 추가된 지역별 특성인자를 선정하여 1998년부터 2007년까지 물 빈곤지수와 기후 변동성지수에 대한 분석을 실시하여 지역별 변동성을 평가하고 물 부문 정책, 투자 및 적용에 대한 우선순위를 결정하는데 도움을 줄 수 있는 정보를 제공하고자 하였다. 물 빈곤지수는 복지 수준과 물이용간의 관련성을 나타낼 수 있으며 치수와 기후변동성을 함께 고려하여 지역별 특성인자를 추가한 기후 변동성지수는 물이용에 영향을 미치는 인자와 치수 및 기후변화를 함께 고려할 수 있으므로, 지역별로 기후변화에 대응하는 물이용뿐만 아니라 홍수관리에도 사용할 수 있을 것이다.

도로기상차량으로 관측한 노면온도자료를 이용한 도로살얼음 취약 구간 산정 (Estimation of Road Sections Vulnerable to Black Ice Using Road Surface Temperatures Obtained by a Mobile Road Weather Observation Vehicle)

  • 박문수;강민수;김상헌;정현채;장성빈;유동길;류성현
    • 대기
    • /
    • 제31권5호
    • /
    • pp.525-537
    • /
    • 2021
  • Black ices on road surfaces in winter tend to cause severe and terrible accidents. It is very difficult to detect black ice events in advance due to their localities as well as sensitivities to surface and upper meteorological variables. This study develops a methodology to detect the road sections vulnerable to black ice with the use of road surface temperature data obtained from a mobile road weather observation vehicle. The 7 experiments were conducted on the route from Nam-Wonju IC to Nam-Andong IC (132.5 km) on the Jungang Expressway during the period from December 2020 to February 2021. Firstly, temporal road surface temperature data were converted to the spatial data with a 50 m resolution. Then, the spatial road surface temperature was normalized with zero mean and one standard deviation using a simple normalization, a linear de-trend and normalization, and a low-pass filter and normalization. The resulting road thermal map was calculated in terms of road surface temperature differences. A road ice index was suggested using the normalized road temperatures and their horizontal differences. Road sections vulnerable to black ice were derived from road ice indices and verified with respect to road geometry and sky view, etc. It was found that black ice could occur not only over bridges, but also roads with a low sky view factor. These results are expected to be applicable to the alarm service for black ice to drivers.

강우의 비정상성을 고려한 청미천 유역의 미래 침수특성 분석 (Future Inundation Characteristics Analysis for the Cheongmi Stream Watershed Considering Non-stationarity of Precipitation)

  • 류정훈;강문성;전상민;박지훈;이경도
    • 한국농공학회논문집
    • /
    • 제59권1호
    • /
    • pp.81-96
    • /
    • 2017
  • Along with climate change, it is reported that the scale and the frequency of extreme climate events (e.g. heavy rain, typhoon, etc.) show unstable tendency of increase. In case of Korea, also, the frequency of heavy rainfall shows increasing tendency, thus causing natural disaster damage in downtown and agricultural areas by rainfall that exceeds the design criteria of hydraulic structures. In order to minimize natural disaster damage, it is necessary to analyze how extreme precipitation event changes under climate change. Therefore a new design criteria based on non-stationarity frequency analysis is needed to consider a tendency of future extreme precipitation event and to prepare countermeasures to climate change. And a quantitative and objective characteristic analysis could be a key to preparing countermeasures to climate change impact. In this study, non-stationarity frequency analysis was performed and inundation risk indices developed by 4 inundation characteristics (e.g. inundation area, inundation depth, inundation duration, and inundation radius) were assessed. The study results showed that future probable rainfall could exceed the existing design criteria of hydraulic structures (rivers of state: 100yr-200yr, river banks: 50yr-100yr) reaching over 500yr frequency probable rainfall of the past. Inundation characteristics showed higher value in the future compared to the past, especially in sections with tributary stream inflow. Also, the inundation risk indices were estimated as 0.14 for the past period of 1973-2015, and 0.25, 0.29, 1.27 for the future period of 2016-2040, 2041-2070, 2071-2100, respectively. The study findings are expected to be used as a basis to analyze future inundation damage and to establish management solutions for rivers with inundation risks.

RCP 4.5와 8.5에 따른 기온 및 강수량변화를 반영한 서울 기후 건조/습윤특성 (Climate Aridity/humidity Characteristics in Seoul According to Changes in Temperature and Precipitation Based on RCP 4.5 and 8.5)

  • 임창수;김성엽
    • 한국수자원학회논문집
    • /
    • 제47권5호
    • /
    • pp.421-433
    • /
    • 2014
  • 본 연구에서는 과거 50년간(1961~2010)의 서울 기후관측지점의 월 및 연별 강수량대비 잠재증발산량의 비인 건조지수의 변화를 분석하고, 과거기간(1971~2000)의 건조지수 대비 기후변화시나리오(RCP 4.5, RCP 8.5)에 따른 미래기간별(2011~2040, 2041~2070, 2071~2100) 건조지수 변화율(%) 분석을 실시하였다. 또한 각기 다른 5개의 잠재증발산량 산정식(FAO P-M식, Penman식, Makkink식, Priestley-Taylor식, Hargreaves식)을 적용하여 잠재증발산량 산정식이 건조지수와 건조지수 변화율(%)에 미치는 영향을 분석하였다. 분석결과에 의하면 RCP 4.5와 8.5 모두에서 과거기간에 비해서 기후변화시나리오에 따른 미래기간에서 월별 강수량, 평균기온 그리고 잠재증발산량이 증가하였다. 또한 잠재증발산량은 겨울철이 여름철과 비교하여 과거기간 대비 미래기간에서 큰 증가를 보였으나, 건조지수는 강수량의 영향으로 잠재증발산량과 다른 양상을 보였다. 따라서 수자원관리 측면에서 미래기후변화에 따른 겨울철 증발산량의 증가에 따른 적절한 대응이 필요하다. 기후변화시나리오를 반영하여 산정된 미래기간의 월 및 연별 건조지수 값은 각기 다른 잠재증발산량 적용식에 따라서 큰 차이를 보였다. 하지만 과거기간대비 미래기간의 월 및 연별 건조지수 변화율(%) 양상은 적용된 잠재증발산량 산정식에 따라서 큰 차이가 없었다.

기후변화 적응을 위한 연안 재해 회복탄력성 측정 모형의 개발 및 적용: 연안침식 사례를 중심으로 (Development and Application of a Coastal Disaster Resilience Measurement Model for Climate Change Adaptation: Focusing on Coastal Erosion Cases)

  • 강승원;이문숙
    • 해양환경안전학회지
    • /
    • 제29권7호
    • /
    • pp.713-723
    • /
    • 2023
  • 기후변화는 연안지역에 심각한 영향을 미치고 있으며 그 영향이 점점 증가할 것이라고 예상되는 바, 최근 기후변화 적응 및 리스크 평가에 있어 많은 연구들이 취약성과 함께 회복탄력성 개념을 이용하고 있다. 본 연구의 목적은 기후변화 적응을 위한 연안재해 회복탄력성 측정 모형을 개발하는 것이다. 측정 모형 개발에 앞서 연안재해 회복탄력성에 대한 광범위한 문헌검토를 통해 취약성과 회복탄력성에 대한 조작적 정의와 함께 여러 피드백 메커니즘이 포함된 개념적 프레임워크를 작성하였다. 연안재해 회복탄력성 측정 모형은 네 가지 측정값(MRV, LRV, RTSPV, ND)과 연안재해 회복탄력성 복합 지수(CRI)를 포함하고 있으며, 개발된 지수는 국내 연안침식 사례에 적용되었다. 또한 지수 등급에 따른 지역적 분석이 수행되었다. 연구 결과, 네 가지 회복탄력성 측정값을 통해 각 지점이 가지는 연안침식 회복탄력성의 다양한 특성을 파악할 수 있음을 확인하였다. 연안 회복탄력성 복합 지수의 매핑 결과 서해안 및 남해안 지역에 비해 동해안 지역들은 연안침식 회복탄력성이 상대적으로 떨어지는 것으로 나타났다. 본 연구의 회복탄력성 측정 모형은 적응 이후의 이행전략에 대한 논의를 제공하는 도구로 활용될 수 있으며, 서로 다른 취약 지역 그룹 간 정책지원에 대한 우선순위를 결정하는 데 이용 가능하다.

하계 항만열환경지수 최적화 방안연구: 항만작업환경을 반영한 MENEX모델의 입력변수 개선 (A Study on Optimization of Thermophysiological Indices for Harbor Workers in Summer: Improvement of MENEX Model's Input Data Considering the Work Environment)

  • 윤진아;황미경;김유근
    • 한국환경과학회지
    • /
    • 제25권7호
    • /
    • pp.951-961
    • /
    • 2016
  • To prevent increasing instances of heat-related illnesses due to heat waves generated by climate change, a customized thermal environment index should be developed for outdoor workers. In this study, we conducted sensitivity analysis of the Masan harbor during a heat wave period (August 9th to 15th, 2013) using the MENEX model with metabolic rate and clothing-insulation data, in order to obtain realistic information about the thermal environment. This study shows that accurate input data are essential to gather information for thermophysiological indices (PST, DhR, and OhR). PST is sensitive to clothing insulation as a function of clothing. OhR is more sensitive to clothing insulation during the day and to the metabolic rate at night. From these results, it appears that when exposed to high-temperature thermal environments in summer, wearing highly insulated clothing and getting enough rest (to lower the metabolic rate) can aid in preventing heat-related illnesses. Moreover, in the case of high-intensity harbor work, quantification of allowed working time (OhR) during heat waves is significant for human health sciences.