• 제목/요약/키워드: Drought indices

검색결과 157건 처리시간 0.029초

공급량 배분기법을 이용한 갈수기 병렬저수지 해석 (Parallel Reservoir Analysis of Drought Period by Water Supply Allocation Method)

  • 박기범;이순탁
    • 한국환경과학회지
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    • 제15권3호
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    • pp.261-269
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    • 2006
  • In this study, an optimization technique was developed from the application of allocation rule. The results obtained from the water supply analysis and reliability indices analysis of Andong dam and Imha dam which are consist of parallel reservoir system are summarized as the followings; Allocation rule(C) is effective technique at the parallel reservoir system because results of the water supply analysis, storage analysis and reliability indices analysis is calculated reasonable results. Also, reliability indices analysis results are not sufficient occurrence based reliability or quantity based reliability. Thus reliability indices analysis are need as occurrence based reliability, quantity based reliability vulnerability, resilience, average water supply deficits and average storage. And water supply condition is better varying water supply condition than constant water supply condition.

가뭄대책 행정지원을 위한 지역논가뭄평가모형 ADEM의 개발 (Development of An Agricultural Drought Evaluation Model for Administrative Decision Support)

  • 장민원;정하우;박기욱
    • 농촌계획
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    • 제9권2호
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    • pp.29-37
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    • 2003
  • The objectives of this study are to develop an agricultural drought evaluation model based on administrative boundaries and to assist the effective drought-related decision-making of local governments. The model which was named ADEM(Administrative Drought Evaluation Model for Paddies) is designed to simulate daily water balance between available water quantities from various agricultural water facilities such as reservoirs, wells, pump stations, etc. and water requirements in paddies. And in order to numerically describe the agricultural drought severity, two indices were defined; One is ADFP(Agricultural Drought Frequency for Paddies) which is calculated with a frequency analysis of monthly water deficit, and the other is ADIP(Agricultural Drought Index for Paddies) with a scale of $-4.2{\sim}+4.2$. The developed model was applied to Yeoju district and showed good correspondence with the historical records of drought.

저수지 가뭄지수를 활용한 농업가뭄 위험도 평가 (Agricultural Drought Risk Assessment using Reservoir Drought Index)

  • 남원호;최진용;장민원;홍은미
    • 한국농공학회논문집
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    • 제55권3호
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    • pp.41-49
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    • 2013
  • Drought risk assessment is usually performed qualitatively and quantitatively depending on the definition a drought. The meteorological drought indices have a limit of not being able to consider the hydrological components such as evapotranspiration, soil moisture and runoff, because it does not consider the water demand in paddies and water supply in reservoirs. Agricultural drought was defined as the reservoir storage shortage state that cannot satisfy water requirement from the paddy fields. The objectives of this study were to suggest improved agricultural drought risk assessment in order to evaluate of regional drought vulnerability and severity studied by using Reservoir Drought Index (RDI). The RDI is designed to simulate daily water balance between available water from agricultural reservoir and water requirement in paddies and is calculated with a frequency analysis of monthly water deficit based on water demand and water supply condition. The results indicated that RDI can be used to assess regional drought risk in agricultural perspective by comparing with the historical records of drought in 2012. It can be concluded that the RDI obtained good performance to reflect the historical drought events for both spatially and temporally. In addition, RDI is expected to contribute to determine the exact situation on the current drought condition for evaluating regional drought risk and to assist the effective drought-related decision making.

Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions

  • Son, Bokyung;Im, Jungho;Park, Sumin;Lee, Jaese
    • 대한원격탐사학회지
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    • 제37권4호
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    • pp.815-831
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    • 2021
  • Drought forecasting is crucial to minimize the damage to food security and water resources caused by drought. Satellite-based drought research has been conducted since 1980s, which includes drought monitoring, assessment, and prediction. Unlike numerous studies on drought monitoring and assessment for the past few decades, satellite-based drought forecasting has gained popularity in recent years. For successful drought forecasting, it is necessary to carefully identify the relationships between drought factors and drought conditions by drought type and lead time. This paper aims to provide an overview of recent research trends and challenges for satellite-based drought forecasts focusing on lead times. Based on the recent literature survey during the past decade, the satellite-based drought forecasting studies were divided into three groups by lead time (i.e., short-term, sub-seasonal, and seasonal) and reviewed with the characteristics of the predictors (i.e., drought factors) and predictands (i.e., drought indices). Then, three major challenges-difficulty in model generalization, model resolution and feature selection, and saturation of forecasting skill improvement-were discussed, which led to provide several future research directions of satellite-based drought forecasting.

MSI/ MidIR/ II 식생지수를 이용한 봄 가뭄탐지 활용 가능성 분석 (Analysis of the Possibility for Practical Use of MSI/ MidIR/ II Vegetation Indices for Drought Detection of Spring Season)

  • 김성재;최경숙;장은미;홍성욱
    • Spatial Information Research
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    • 제19권5호
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    • pp.37-46
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    • 2011
  • 봄 가뭄탐지를 위한 위성영상 활용을 위해 중 저해상 위성영상인 Landsat TM(Thematic Mapper) 영상을 이용하여 기존의 봄철 가뭄 해석에 많이 사용되어온 정규식생지수(NDVI: Normalized Difference Vegetation Index)이외에 MSI(Moisture Stress Index), MidIR Index, II (Infrared Index) 지수들의 가뭄분석 활용가능성을 알아보고자 하였다. 이를 위해 경상북도 영천시를 대상으로 무강수일수에 따른 영상을 선정하여 DN(Digital Number)값의 특성 및 상관성을 분석하고 이와 더불어 가뭄지수와의 비교 분석을 실시하였다. 그 결과 NDVI와 MSI 및 II 지수는 높은 상관관계를 보였으나, MidIR은 낮은 상관관계를 보였으며, 가뭄지수와의 분석에서도 MSI 및 II 지수는 강한 상관관계를 보여주었다. 따라서 MSI와 II 지수를 이용한 가뭄연구를 통해 정보의 다양성 및 정확도를 높일 수 있을 것으로 판단된다.

북한의 지역별 기상학적 가뭄의 평가와 유형분류 (Assessment and Classification of Meteorological Drought Severity in North Korea)

  • 유승환;남원호;장민원;최진용
    • 한국농공학회논문집
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    • 제50권4호
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    • pp.3-15
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    • 2008
  • North Korea is one of the most vulnerable countries of the world for drought but still it is difficult to find scientific researches for understanding of the drought characteristics. This study analyzed the temporal and spatial distribution of meterological drought severity and classified the drought development types in North Korea. All eleven drought indices were tested such as seasonal rainfall, PDS, SPI and so on, and then drew the drought risk map by each indicator using frequency analysis and GIS(Geographic Information Systems) for twenty one meteorological stations. In addition meteorological drought characteristics in North Korea was classified to six patterns on Si/Gun administrative units using cluster analysis on the drought indicators. The cluster III has the strongly drought-resistant area due to sufficient rainfall and the cluster V was considered as the most drought-vulnerable area, Pungsan and Sinpo, because of the severest drought condition for eight drought indicators. The results of this study are expected to be provided for the basic understanding of regionalized drought severity and characteristics confronting the risk of drought from climate variations in North Korea.

ANALYSIS OF DROUGHT PHENOMENA USING MODIS NORMALIZED DIFFERENCE VEGETATION INDEX AND LAND SURFACE TEMPERATURE PRODUCTS

  • Park Jung-Sool;Kim Kyung-Tak;Lee Kyo-Sung;Kim Joo-Hun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.193-196
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    • 2005
  • As global warming proceeds, South Eastern Asia is undergoing drought, and the harshness of drought in the middle area of Korea is increasing. Especially, there has been the worst spring drought in 2001 since the first meteorological observation, and the damages caused by that drought are being ana lysed in various ways. In this study, spectral indices derived from satellites are used to examine 2001 spring drought, and the application of MODIS Data products as the quantitative tool to analyse drought in the future is examined.

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Development of Heat Wave Indices for Korean Peninsula

  • Chandrasekara, Sewwandhi S.K.;Kwon, Hyun-Han
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.366-366
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    • 2020
  • The drought is one of the extreme natural disasters observed in any climate zone and it is due to the deficiency in moisture. The flash drought is identified recently as a subdivision of drought and it is an extreme event distinguished by sudden onset and rapid intensification of drought conditions with severe impacts. The main cause for the flash drought is coupled situation due to precipitation deficit and high evapotranspiration. Hence, heat waves plays major role in identification of flash drought. Therefore, this study focused on identifying changes in distribution of heat waves for Korean Peninsula. The daily maximum and minimum temperature data were used in this study. The heat wave, heat wave intensity and heat wave intensity index were derived. The results of the study would be an input for the future studies on identification of flash drought in Korean Peninsula.

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단일저수지 농업가뭄평가모형의 개발 (Development of A Single Reservoir Agricultural Drought Evaluation Model for Paddy)

  • 정하우;최진용;박기욱;배승종;장민원
    • 한국농공학회논문집
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    • 제46권3호
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    • pp.17-30
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    • 2004
  • This study aimed to develop an agricultural drought assessment methodology for irrigated paddy field districts from a single reservoir. Agricultural drought was defined as the reservoir storage shortage state that cannot satisfy water requirement from the paddy fields. The suggested model, SRADEMP (a Single Reservoir Agricultural Drought Evaluation Model for Paddy), was composed of 4 submodels: PWBM (Paddy Water Balance Model), RWBM (Reservoir Water Balance Model), FA (Frequency and probability Analysis model), and DCI (Drought Classification and Indexing model). Two indices, PDF (Paddy Drought Frequency) and PDI (Paddy Drought Index) were also introduced to classify agricultural drought severity Both values were divided into 4 steps, i.e. normal, moderate drought, severe drought, and extreme drought. Each step of PDI was ranged from +4.2 to -1.39, from -1.39 to -3.33, from -3.33 to -4.0 and less than -4.0, respectively. SRADEMP was applied to Jangheung reservoir irrigation district, and the results showed good relationships between simulated results and the observed data including historical drought records showing that SRADEMP explains better the drought conditions in irrigated paddy districts than PDSI.

Classifying meteorological drought severity using a hidden Markov Bayesian classifier

  • Sattar, Muhammad Nouman;Park, Dong-Hyeok;Kwon, Hyun-Han;Kim, Tae-Woong
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2019년도 학술발표회
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    • pp.150-150
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    • 2019
  • The development of prolong and severe drought can directly impact on the environment, agriculture, economics and society of country. A lot of efforts have been made across worldwide in the planning, monitoring and mitigation of drought. Currently, different drought indices such as the Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) are developed and most commonly used to monitor drought characteristics quantitatively. However, it will be very meaningful and essential to develop a more effective technique for assessment and monitoring of onset and end of drought. Therefore, in this study, the hidden Markov Bayesian classifier (MBC) was employed for the assessment of onset and end of meteorological drought classes. The results showed that the probabilities of different classes based on the MBC were quite suitable and can be employed to estimate onset and end of each class for meteorological droughts. The classification results of MBC were compared with SPI and with past studies which proved that the MBC was able to account accuracy in determining the accurate drought classes. For more performance evaluation of classification results confusion matrix was used to find accuracy and precision in predicting the classes and their results are also appropriate. The overall results indicate that the MBC was effective in predicating the onset and end of drought events and can utilized for monitoring and management of short-term drought risk.

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