• 제목/요약/키워드: Abnormal Temperature Phenomena

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랜덤포레스트를 이용한 기상 환경에 따른 이상기온 분류 (Classification Abnormal temperatures based on Meteorological Environment using Random forests)

  • 김윤수;송광윤;장인홍
    • 통합자연과학논문집
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    • 제17권1호
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    • pp.1-12
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    • 2024
  • Many abnormal climate events are occurring around the world. The cause of abnormal climate is related to temperature. Factors that affect temperature include excessive emissions of carbon and greenhouse gases from a global perspective, and air circulation from a local perspective. Due to the air circulation, many abnormal climate phenomena such as abnormally high temperature and abnormally low temperature are occurring in certain areas, which can cause very serious human damage. Therefore, the problem of abnormal temperature should not be approached only as a case of climate change, but should be studied as a new category of climate crisis. In this study, we proposed a model for the classification of abnormal temperature using random forests based on various meteorological data such as longitudinal observations, yellow dust, ultraviolet radiation from 2018 to 2022 for each region in Korea. Here, the meteorological data had an imbalance problem, so the imbalance problem was solved by oversampling. As a result, we found that the variables affecting abnormal temperature are different in different regions. In particular, the central and southern regions are influenced by high pressure (Mainland China, Siberian high pressure, and North Pacific high pressure) due to their regional characteristics, so pressure-related variables had a significant impact on the classification of abnormal temperature. This suggests that a regional approach can be taken to predict abnormal temperatures from the surrounding meteorological environment. In addition, in the event of an abnormal temperature, it seems that it is possible to take preventive measures in advance according to regional characteristics.

Landsat 위성영상을 이용한 중국 츠시시의 이상 고온 현상 분석 (Analysis of Abnormal High Temperature Phenomena in Cixi-si of China using Landsat Satellite Images)

  • 박준규;이종신
    • 한국산학기술학회논문지
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    • 제18권8호
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    • pp.34-40
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    • 2017
  • 최근 전세계적으로 지구 온난화로 인한 이상 기후 현상이 발생되고 있다. 미국 북동부 지역의 한파, 중국 베이징, 인도 남부, 파키스탄의 폭염, 칠레, 카자흐스탄, 베트남의 홍수 등 세계 각지에서 이상 기후가 발생되고, 피해도 속출하고 있다. 특히, 중국의 경우 2013년 이후 매년 남부지역을 중심으로 전국적인 폭염이 지속되고 있다. 이에 본 연구에서는 이러한 이상 고온 현상의 특성을 분석하기 위해 중국 츠시시의 4시기 Landsat 8 OLI TIRS 센서 영상을 활용하였다. 위성영상의 10개 밴드를 활용하여 토지피복 분류를 수행하고, 10번 열밴드를 이용하여 지표면 온도를 추출하였다. 4시기의 토지피복 분류 결과를 통해 시계열적인 변화 추이를 정량적으로 파악할 수 있었으며, 지표 온도 산출 결과를 통해 각 시기의 평균 온도뿐만 아니라 각 항목별 평균온도까지 확인할 수 있었다. 특히, 항목별 평균온도 산출 결과를 통해 동일 시기에서는 건물, 나지, 산림, 농경지, 수계, 갯벌의 순서로 온도가 높게 나타나는 것뿐만 아니라, 대상지 전체의 평균온도에 비해 건물, 나지, 산림, 농경지 지역의 온도는 높고 수계와 갯벌 지역은 온도가 낮게 나타나는 것을 확인 가능하였다.

YIG 소결시 나타나는 비정상입성 장 현상과 그의 억제 (Suppression of the abnormal grain growth in the sintering of YIG)

  • 김동영;한진우;전동석;이상석
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2002년도 하계학술대회 논문집
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    • pp.466-469
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    • 2002
  • In the sintering of YIG, abnormal grain growth phenomena was observed. This abnormal grain growth is related to the sintering temperature in this experiment. In the sintering below 145$0^{\circ}C$., the sintered body showed narrow size distribution. However, in the sintering at 145$0^{\circ}C$, a few grains grew rapidly with respect to other grains, and bimodal size distribution was appeared. Liquid phase was not observed far from the abnormally grown large grains, but only near the large grains. This means that the abnormal grain growth was caused by the nonuniform distribution of liquid phase which promote the grains growth. This nonuniform distribution of liquid phase was thought to be due to the nonuniform mixing of the starting materials. This abnormal grain growth was suppressed by enhance the compositional uniformity by multiple calcination.

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겨울철 기상이변시 콘크리트의 대응 (Concrete Quality Management for Unexpected Weather Condition)

  • 한상윤;박경택;손호정;백대현;한민철;한천구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2010년도 춘계 학술논문 발표대회 1부
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    • pp.95-97
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    • 2010
  • This study revealed unusual weather phenomena by comparing and analyzing monthly average temperature and amount of snowfall for the past 10 years, and, based on the weather phenomena, analyzed damage cases of concrete structures in winter. As a result, the temperature for the recent one year became greatly low compared with the monthly average for the past 10 years, and the snowfall increased by 4-5 times compared with the past, so that the frost damage of concrete structures also greatly occurred. Accordingly, in case of concrete construction, because there may occur various variables owing to abnormal weather conditions, it is required that thorough quality control should be performed even from the stage of construction plan, execution and maintenance.

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Yttrium Iron Garnet의 소결시 나타나는 비정상 입성장 현상과 그의 억제 (Suppression of the Abnormal Grain Growth in the Sintering of Yttrium Iron Garnet)

  • 김동영;이홍열;전동석;이상석
    • 한국전기전자재료학회논문지
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    • 제16권12호
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    • pp.1131-1135
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    • 2003
  • In the sintering of YIG, abnormal grain growth phenomena were observed. This abnormal grain growth is related to the sintering temperature in this experiment. In the sintering below 1450$^{\circ}C$, the sintered body showed narrow size distribution. However, in the sintering at 1450$^{\circ}C$, a few grains grew rapidly with respect to other grains, and bimodal size distribution was appeared. From the observation of the microstructure, liquid phase was not observed far from the abnormally grown large grains, but only near the large grains. This means that the abnormal grain growth was caused by the nonuniform distribution of liquid phase which promote the grains growth. Because the growth rate of grains near the liquid phase is much higher than that of the other grains, a few grains grow rapidly. This nonuniform distribution of liquid phase was thought to be due to the nonuniform mixing of the calcined powders. This abnormal grain growth was suppressed by enhancement of the compositional uniformity by multiple calcination.

폴리프로필랜 필름의 부성지향특성에 관한 연구 (A Study On the Negative Resistance Characteristics of Polypropylene Films)

  • 김봉협;김용주;류강식;김귀열;이준욱
    • 대한전기학회논문지
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    • 제36권6호
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    • pp.418-423
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    • 1987
  • In the course of the investigation to the field dependent electrical conducation mechanism in polypropylene, an abnormal conduction phenomena such as voltage controlled negative resistance charateristics has been observed at the junction of two regions charateriged by schottky effect and space charge effect respectively. This abnormal characteristics was observed initially about 110MV / m of the field strength and at 25 , however, the field strength where it observed was decreased and the apparent feature of negative charateristics was less pronounced as increasing ambient temperature. Although the observations of analogous characteristics in other materials such as polyethylene, polymethylemethactylate, and polystyrene have already been reported together with plausible explanation by Toureille and others, however, it was found that the proposed concept by those authors was little use to the present observations for quantitative discussions. Accordingly we tried to adapt another conceptual discussion based on Gibbons's formulation pertaing to the saturatio trend of the field dependent drift velocity of carriers towards the thermal velocity corresponding to the ambient temperature so that the quantitative explanatio on the observed facts has been succeeded to some estent of reasonable acceptance.

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LSTM을 이용한 한반도 근해 이상수온 예측모델 (Abnormal Water Temperature Prediction Model Near the Korean Peninsula Using LSTM)

  • 최혜민;김민규;양현
    • 대한원격탐사학회지
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    • 제38권3호
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    • pp.265-282
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    • 2022
  • 해수면 온도(Sea surface temperature, SST)는 지구시스템에서 해양의 순환과 생태계에 큰 영향을 주는 요소이다. 지구온난화로 한반도 근해 해수면 온도에 변화가 생기면서 이상 수온(고수온, 저수온) 현상이 발생하여 해양생태계와 수산업 피해를 지속적으로 발생시키고 있다. 따라서 본 연구는 한반도 근해 해수면 온도를 예측하여 이상 수온 현상 예측으로 피해를 예방하는 방법론을 제안한다. 연구 지역은 한반도 근해로 설정하여 동시간대 해수면 온도 데이터를 사용하기 위해 Europe Centre for Medium-Range Weather Forecasts (ECMWF)의 ERA5 자료를 사용하였다. 연구방법으로는 해수면 온도 데이터의 시계열 특징을 고려하여 딥러닝 모델 중 시계열 데이터 예측에 특화된 Long Short-Term Memory (LSTM) 알고리즘을 이용하였다. 예측 모델은 1~7일 이후 한반도 근해 해수면 온도를 예측하고 고수온(High water temperature, HWT) 혹은 저수온(Low water temperature, LWT) 현상을 예측한다. 해수면 온도 예측 정확도 평가를 위해 결정계수(Coefficient of determination, R2), 평균제곱근 편차(Root Mean Squared Error, RMSE), 평균 절대 백분율 오차(Mean Absolute Percentage Error, MAPE) 지표를 사용하였다. 예측 모델의 여름철(JAS) 1일 예측 결과는 R2=0.996, RMSE=0.119℃, MAPE=0.352% 이고, 겨울철(JFM) 1일 예측 결과는 R2=0.999, RMSE=0.063℃, MAPE=0.646% 이었다. 예측한 해수면 온도를 이용하여 이상 수온 예측 정확도 평가를 F1 Score로 수행하였다(여름철(2021/08/05) 고수온 예측 결과 F1 Score=0.98, 겨울철(2021/02/19) 저수온 예측 결과 F1 Score=1.0). 예측 기간이 증가하면서 예측 모델이 해수면 온도를 과소추정하는 경향을 보여주었고, 이로 인해 이상 수온 예측 정확도 또한 낮아졌다. 따라서, 향후 예측 모델의 과소추정 원인을 분석하고 예측 정확도 향상을 위한 연구가 필요할 것으로 판단된다.

Downscaling of MODIS Land Surface Temperature to LANDSAT Scale Using Multi-layer Perceptron

  • Choe, Yu-Jeong;Yom, Jae-Hong
    • 한국측량학회지
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    • 제35권4호
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    • pp.313-318
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    • 2017
  • Land surface temperature is essential for monitoring abnormal climate phenomena such as UHI (Urban Heat Islands), and for modeling weather patterns. However, the quality of surface temperature obtained from the optical space imagery is affected by many factors such as, revisit period of the satellite, instance of capture, spatial resolution, and cloud coverage. Landsat 8 imagery, often used to obtain surface temperatures, has a high resolution of 30 meters (100 meters rearranged to 30 meters) and a revisit frequency of 16 days. On the contrary, MODIS imagery can be acquired daily with a spatial resolution of about 1 kilometer. Many past attempts have been made using both Landsat and MODIS imagery to complement each other to produce an imagery of improved temporal and spatial resolution. This paper applied machine learning methods and performed downscaling which can obtain daily based land surface temperature imagery of 30 meters.

A Study on the Coolant Mixing Phenomena in the Reactor Lower Plenum

  • Park, Yong-Seog;Park, Goon-Cherl;Um, Kil-Sup
    • Nuclear Engineering and Technology
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    • 제29권3호
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    • pp.186-195
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    • 1997
  • When asymmetric thermal-hydraulic conditions occur between cold legs, the core inlet temperature will be nonuniform if the coolant is not mixed perfectly in the lower plenum. These uneven core inlet conditions may induce the change in core power distribution. Thus realistic prediction of thermal mixing is important in such abnormal conditions. In this study, reactor internals, which are scaled down as to conserve the flow area ratio, are set up in the model of KORI Unit 1 with the scaling factor of 1/710 by volume and coolant temperatures are measured beneath the lower core plate. Based on experimental results, the ability of COMMIX-1B code to simulate the coolant mixing phenomena in the lower plenum is estimated. The results show that complete mixing never occurs in any conditions and the mixing pattern is characterized according to the plant type.

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위성추력기에서 촉매유실에 따른 암모니아 해리도 변화에 대한 연구 (Investigation on the Change of Ammonia Dissociation for Satellite Thruster According to the Catalyst Loss)

  • 황창환;이성남;백승욱;김수겸;유명종
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2011년도 제37회 추계학술대회논문집
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    • pp.218-222
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    • 2011
  • 이리듐 촉매의 국산화 개발과정에서 고온/고압으로 인한 촉매파손, 유실, 소결현상 등이 관찰되었고, 이렇게 손상된 촉매대로 인하여 추력기의 성능이 저하된다고 보고되었다. 이에 본 논문의 연구에서는 촉매대를 1차원 다공질성 매질로 가정, 모델링하여 수치해석코드를 개발하였다. 개발된 수치해석코드는 실험데이터와 비교하여 검증하였으며, 촉매유실에 의해 변하게 되는 촉매대의 공극률을 변화시켜 다양한 경우의 촉매유실을 가정하여 해석을 수행하였다. 이를 통하여 촉매유실이 하이드라진과 암모니아의 분해반응에 끼치는 영향을 연구하였다.

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