• Title/Summary/Keyword: 다양성 지수

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Probabilistic Assessment of Drought Characteristics based on Homogeneous Hidden Markov Model (동질성 은닉 마코프 모형을 적용한 가뭄특성의 확률론적 평가)

  • Yoo, Ji-Young;Kwon, Hyun-Han;Kim, Tae-Woong;Lee, Seung-Oh
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.1
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    • pp.145-153
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    • 2014
  • Several studies regarding drought indices and criteria have been widely studied in the literature. If one defines the onset, severity, and end of droughts, in general, a certain threshold needs to be set to assess the drought events. However, the uncertainty associated with the threshold is a critical problem in drought analysis. To take full advantage of the inherent features in the rainfall series, a Hidden Markov Model (HMM) based probabilistic drought analysis was proposed rather than using the existing threshold based analysis. As a result, the proposed HMM based probabilistic drought analysis scheme shows better performance in terms of defining drought state and understanding underlying characteristics of the drought. In addition, the HMM based approach is capable of quantifying the uncertainties associated with the classifying meteorological drought condition in a systematic way.

Drought Monitoring Accuracy Evaluation through ROC Analysis for Satellite Image based Drought Indices (ROC 분석에 의한 위성기반 가뭄지수의 모니터링 정확도 평가)

  • Park, Seo Yeon;Seo, Chan Yang;Hong, Hyun Pyo;Lee, Joo Heon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.149-149
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    • 2017
  • 최근 지구온난화에 따른 기후변화로 인하여 전 세계적으로 가뭄, 홍수 등의 극한 기후사상이 발생하고 있다. 그 중 가뭄의 발생은 다른 수문학적 재해와는 다르게 장기간에 걸쳐서 발생하고 그 피해 범위가 광범위하게 나타난다. 또한, 기후변화를 고려한 다양한 기후예측모델의 예측 결과는 가뭄 재해가 앞으로 더 심각해질 수 있다는 전망을 하고 있다는 점에서 그 심각성이 더욱 대두되고 있다. 이러한 가뭄을 효과적으로 감시하고 평가할 수 있는 방안이 필요로 하게 되며, 기존의 가뭄지수(drought index)의 단점을 보완할 수 있는 수단으로 높은 활용성을 갖고 있는 위성영상자료를 활용한 효과적인 가뭄모니터링 기술의 개발이 요구되고 있다. 본 연구에서는 가뭄을 시 공간적으로 모니터링하기 위해서 위성자료를 활용하였으며, Terra/Aqua 위성의 MODIS 영상자료 와 TRMM 및 GPM 위성의 강우자료를 활용하여 가뭄을 감시할 수 있는 가뭄지수 인 VHI(Vegetation Health Index), DSI(Drought Severity Index), Water Balance Method를 산정하였다. 산정된 지수의 정확도를 정량적으로 평가하기 위하여 가뭄 피해조사 결과에 의한 2001년 및 2014-2015년 농업적/수문학적 가뭄피해지역과 위성기반 가뭄지수에 의한 가뭄모니터링 결과 간의 ROC 분석을 통해 위성자료 기반 가뭄감시의 적용 가능성을 평가하였다. 본 연구의 결과를 통하여 위성영상 자료를 통하여 산정되는 가뭄지수의 기상학적/농업적/수문학적 가뭄감시 기능 및 적용성이 정량적으로 평가될 수 있을 것으로 판단된다.

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The Change of The Average Discomfort Index from June to September during The Past 10 Years (한반도의 여름철 불쾌지수 특성 분석)

  • Jang, You-Jung;Heo, Hye-Sook;Kim, Baek-Jo;Kim, Seong-Kyoun;Hong, Gi-Man;Lee, Woo-Kyun
    • Journal of Climate Change Research
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    • v.3 no.2
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    • pp.89-100
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    • 2012
  • This study analyzes spatio-temporal variability of discomfort index for summer the during the past ten years(2001~2010) in the Korean Peninsula, and considers the application possibility of discomfort index as a preliminary data for various phenomenon of society based on the analysis. Discomfort index defined as daily representative value was estimated using hourly temperature and humidity data which are observed 60 weather stations managed by Korea Meteorological Administration. The result indicates that the discomfort index in summer keeps the level at which one feels unpleasant, and the level increased steadily as temperature is rising. And discomfort index in 3 pm and on August are the highest during the day and year. Gangwon-do have shown the lowest discomfort index among the provinces. Variability analysis of discomfort index due to climate changes can be used for making policies in various fields such as industry and public health field.

Conjugation of Landsat Data for Analysis of the Land Surface Properties in Capital Area (수도권 지표특성 분석을 위한 Landsat 자료의 활용)

  • Jee, Joon-Bum;Choi, Young-Jean
    • Journal of the Korean earth science society
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    • v.35 no.1
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    • pp.54-68
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    • 2014
  • In order to analyze the land surface properties in Seoul and its surrounding metropolitan area, several indices and land surface temperature were calculated by the Landsat satellites (e.g., Landsat 5, Landsat 7, and Landsat 8). The Landsat data came from only in the fall season with Landsat 5 on October 21, 1985, Landsat 7 on September 29, 2003, and Landsat 8 on September 16, 2013. The land surface properties used are the indices that represented Soil Adjusted Vegetation Index (SAVI), Modified Normalized Difference Wetness Index (MNDWI), Normalized Difference Wetness Index (NDWI), Tasseled cap Brightness, Tasseled cap Greenness, Tasseled cap Wetness Index, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) and the land surface temperature of the area in and around Seoul. Most indices distinguish very well between urban, rural, mountain, building, river and road. In particular, most of the urbanization is represented in the new city (e.g., Ilsan) around Seoul. According to NDVI, NDBI and land surface temperature, urban expansion is displayed in the surrounding area of Seoul. The land surface temperature and surface elevation have a strong relationship with the distribution and structure of the vegetation/built-up indices such as NDVI and NDBI. While the NDVI is positively correlated with the land surface temperature and is also negatively correlated with the surface elevation, the NDBI have just the opposite correlations, respectively. The NDVI and NDBI index is closely associated with the characteristics of the metropolitan area. Landsat 8 and Landsat 5 have very strong correlations (more than -0.6) but Landsat 7 has a weak one (lower than -0.5).

Correlation Analysis of Vegetation Index and Drought Index (식생지수와 가뭄지수의 상관성 분석)

  • Kim, Kyung Tak;Park, Jung Sool
    • Journal of Wetlands Research
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    • v.8 no.1
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    • pp.49-58
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    • 2006
  • Drought is an natural phenomenon which effects greatly on our society. It has various time scale and it is difficult to define the beginning and the end. So we can't aware it quickly and the damage of drought become severe. To cope with these problems, it needs to construct drought monitoring system. And it is required that the definition of drought which is objective and can be applied widely and proper drought index for drought monitoring. Meteorology and hydrology have developed drought index for drought monitoring. There are many attempt to interpret the drought using NDVI(Normalized Difference Vegetation Index) or LST(Land Surface Temperature) in remote sensing. In this study, drought index and precipitation is used to find drought severity of last ten years in South Korea. NDVI and VCI is applied to perceive the state of drought. Finally, the possibility of drought monitoring and evaluating drought depth is estimated by analyzing the correlation between vegetation Index and drought index.

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Probabilistic Approach to Estimation of Drought Possibility for Vegetation Based on Satellite Observation (위성관측 기반의 식생의 가뭄 가능성 추정을 위한 확률론적 접근방법)

  • Won, Jeongeun;Kim, Sangdan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.115-115
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    • 2021
  • 식생은 증발산, 강우, 토양 수분 등 다양한 수문기상 요인과 밀접한 관계가 있기 때문에 식생의 상태는 가뭄 발생 시 물 부족에 매우 큰 영향을 받는다. 가뭄에 따른 식생의 변화와 영향을 파악하기 위해서는 식생-기후의 피드백을 이해해야 한다. 식생과 기후변수의 상호관계를 묘사하고 결합 확률을 구성하는 것은 식생-기후의 피드백을 이해하는데 적절하다. Copula 함수는 모든 변수를 연결하는 이점을 가지기 때문에 다양한 확률 변수를 결합하는 강력한 접근방법으로, copula를 통한 확률론적 접근방법은 수문 기상 스트레스에 대한 식생의 반응을 효과적으로 조사할 수 있다. 이에 따라 본 연구에서는 copula 기반의 식생-기후의 상호관계를 통해 가뭄 발생 시 식생이 받을 수 있는 영향을 정량화하고자 한다. 이를 위해 위성 자료를 활용한 식생건강성지수(Vegetation Health Index, VHI)와 위성관측된 강수 및 잠재증발산 자료를 적용하여 높은 공간 해상도에서 한국 전역의 식생 가뭄 가능성을 추정하고자 하였다. 강수 및 잠재증발산 자료를 통해 다양한 가뭄지수를 산정하고, copula 결합 이론을 기반으로 VHI와 가뭄지수 간의 이변량 결합 확률모델이 제안된다. 이에 조건부 확률을 적용하여 다양한 가뭄 시나리오에서 식생의 가뭄 가능성을 추정하고, 가뭄에 취약한 지역을 공간적으로 분석하고자 한다. 이를 통해 가뭄 스트레스에 따른 식생 변화와 생태학적 가뭄의 공간적 특성을 효과적으로 파악할 수 있을 것으로 기대된다.

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A Study on the Feature Extraction Using Spectral Indices from WorldView-2 Satellite Image (WorldView-2 위성영상의 분광지수를 이용한 개체 추출 연구)

  • Hyejin, Kim;Yongil, Kim;Byungkil, Lee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.5
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    • pp.363-371
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    • 2015
  • Feature extraction is one of the main goals in many remote sensing analyses. After high-resolution imagery became more available, it became possible to extract more detailed and specific features. Thus, considerable image segmentation algorithms have been developed, because traditional pixel-based analysis proved insufficient for high-resolution imagery due to its inability to handle the internal variability of complex scenes. However, the individual segmentation method, which simply uses color layers, is limited in its ability to extract various target features with different spectral and shape characteristics. Spectral indices can be used to support effective feature extraction by helping to identify abundant surface materials. This study aims to evaluate a feature extraction method based on a segmentation technique with spectral indices. We tested the extraction of diverse target features-such as buildings, vegetation, water, and shadows from eight band WorldView-2 satellite image using decision tree classification and used the result to draw the appropriate spectral indices for each specific feature extraction. From the results, We identified that spectral band ratios can be applied to distinguish feature classes simply and effectively.

Evaluation on the Discontinuity Characteristics and Rock Quality Designations of the Rock Mass around KURT (KURT 주변 암반에 대한 불연속면 분포와 암질지수 평가)

  • Seungbeom, Choi;Kyung-Woo, Park;Yong-Ki, Lee
    • Tunnel and Underground Space
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    • v.32 no.6
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    • pp.397-410
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    • 2022
  • The safety of the disposal repository for high level radioactive waste should be guaranteed for a quite long period so that the precise evaluations are required. The site characteristics of the discontinuities are essential part of the safe repository design including engineered barrier and natural barrier systems. The discontinuities act like weak planes and at the same time, they act as flow paths so that their features should be investigated thoroughly. RQD (Rock Quality Designation) is one of the most widely applied characterizing methods due to its simplicity, however, modified designations have been proposed because RQD has some drawbacks, such as its directivity and dependence on the threshold length. This study aims to evaluate the applicability of the modified designations by applying them to the rock mass around KURT and to produce fundamental database that will be utilized in future studies.

Evaluation of weather information for electricity demand forecasting (전력수요예측을 위한 기상정보 활용성평가)

  • Shin, YiRe;Yoon, Sanghoo
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.6
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    • pp.1601-1607
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    • 2016
  • Recently, weather information has been increasingly used in various area. This study presents the necessity of hourly weather information for electricity demand forecasting through correlation analysis and multivariate regression model. Hourly weather data were collected by Meteorological Administration. Using electricity demand data, we considered TBATS exponential smoothing model with a sliding window method in order to forecast electricity demand. In this paper, we have shown that the incorporation of weather infromation into electrocity demand models can significantly enhance a forecasting capability.

Reliability Index Optimization for Pier Type Quay Walls Using Life Cycle Cost (생애주기비용을 이용한 잔교식 안벽의 신뢰도지수 최적화)

  • Kim, Dong-Hyawn;Yoon, Gil-Lim
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.23 no.6
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    • pp.422-428
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    • 2011
  • Optimal reliability indices were found by optimizing life cycle cost(LCC) of pier type quay walls. Failure probability of pier and shore bridge were calculated by response surface method. Then, they were used to obtain recovery cost after damage. Costs for initial construction and maintenance were also considered in finding optimal reliability indices. Target reliability indices which may be used in reliability based design were suggested by numerical examples under seismic load and ship load.