• 제목/요약/키워드: Drought Severity

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SPI와 DRI를 활용한 의령군 지역의 가뭄 평가 (Drought Assessment with SPI and DRI in Uiryeong-Gun)

  • 곽제상;김광섭;정영훈;엄명진
    • 대한토목학회논문집
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    • 제42권4호
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    • pp.457-467
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    • 2022
  • 가뭄은 지역적 특성이 강하게 나타나므로 가뭄이 진행하는 상태나 심한 정도를 정의할 수 있는 객관적인 정의나 기준이 필요하다. 이를 위해 가뭄지수(drought index)란 개념은 증발산량을 정량적으로 제시하면서 시작되었으며, 현재까지 전 세계적으로 많은 가뭄 관련 연구가 수행되고 있다. 본 연구에서는 대표적인 기상학적 가뭄지수인 표준 강수 지수(SPI)를 산정하였고, 실질적인 가뭄을 고려할 수 있는 가뭄 위험 지수(DRI)를 가뭄 취약성 지수(DVI)와 가뭄 위험요소 지수(DHI)를 대상지역인 의령군에 적용하여 안정적인 용수공급 체계를 마련할 수 있는 실제적인 가뭄의 평가에 대한 방법을 제시하였다.

농업한발지수 설정에 관한 연구 (A Study on the Evaluation of Agricultural Drought Index)

  • 안병기;김태철;정도웅
    • 한국농공학회지
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    • 제30권1호
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    • pp.31-37
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    • 1988
  • This study, based on the monthly rainfall data, was carried out to determine the agricultural drought index which enables to describe the regional and seasonal drought characteristics of rice cropping system in Korea. The results obtained were summarized as follows ; 1.A new agricultural drought index (ADI) was evaluated seasonally according to the product of drought intensity and duration. This ADI is proposed as standard design criterion for irrigation planning. 2.The relationship between agricultural drought index and return periods was figured out. These diagrams could be used to estimate the seasonal drought severity of a certain year and to select design year corresponding to the specific drought frequency. 3.The regional drought characteristics were classified and those are useful to determine proper rice varieties and planting time and make drought counterplans. 4.Spring drought occurred once in 3 or 4 years and in a regional respect, rather frequently occurred in Seoul and Daegu areas than in Busan, Daejeon, Kwangju and Chuncheon areas. Summer drought occurred once in 5 years in Daegu and Busan areas and once in 7 or 8 years in other areas. 5.Sequential drought which gave severe drought damage of rice production occurred once in 20 years in Daegu area and in 10 years in Kwangju area.

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PDSI와 범지구적 해수면온도와의 저빈도 상관성 분석 (Low Frequency Relationship Analysis between PDSI and Global Sea Surface Temperature)

  • 오태석;김성실;문영일
    • 한국방재학회 논문집
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    • 제10권3호
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    • pp.119-131
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    • 2010
  • 가뭄은 인간이 극복하기 힘든 자연재해로서 가뭄지역의 경제를 어렵게 할 뿐 아니라 생태계까지 파괴하기 때문에 전 세계적으로 가장 두려워하는 관심 재해 중 하나이다. 따라서 본 연구에서는 대표적인 가뭄지수인 팔머가뭄지수와 범지구적 해수면 온도의 상관관계를 분석하였다. 먼저 팔머가뭄지수를 산정하여 과거 가뭄발생연도와 비교분석을 실시하였다. 비교분석을 결과 대부분의 과거 가뭄사상과 지수가 일치하는 것으로 분석되었다. 상관성 분석을 위해 팔머가뭄지수 산정을 위한 지수인 강수자료와 온도자료를 월평균강수량과 월평균온도 자료로 산정하여 군집분석을 실시하였다. 우리나라 기상청관할에 있는 61개 지점을 선정하여 월평균강우량과 월평균온도 자료로 군집분석결과 총 6개의 군집을 형성하는 것으로 분석되었다. 또한, 군집분석결과와 팔머가뭄지수의 주성분 분석을 실시하였다. 주성분 분석을 통해 전체 자료의 분산을 80% 이상 설명할 수 있는 14개의 시계열 자료를 추출하였다. 추출된 팔머가뭄지수의 주요 성분과 범지구적 해수면 온도와의 상관성 분석결과 팔머가뭄지수는 양의 상관관계가 음의 상관관계보다 큰 것으로 분석되었으며, 태평양에서 관측되는 해수면 온도와 통계적으로 유의한 상관관계를 갖는 해수면 온도 구역을 확인할 수 있었다. 이를 통해 해수면 온도를 이용하여 우리나라에 발생할 수 있는 가뭄의 예측 가능성을 제시하였다.

SPI를 이용한 1994년 가뭄분석 (Drought Analyses of 1994 Using Standardized Precipitation Index)

  • 김상민;박승우;김현준
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1998년도 학술발표회 발표논문집
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    • pp.92-98
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    • 1998
  • Among several indices that have been proposed and adopted in different disciplines of sciences, standardized precipitation index, SPI by McKee et al. (1993) was applied to evaluate drought severity for historical rainfall records. Monthly SPI in Seoul station was reviewed in this study, in an effort to characterize the drought intensities during 1994. The SPI drought frequency decreases inversely with monthly time scales of different spans, while the drought duration increases. March, 1994 was found to be the most severe for the three month period, and was recognized as the beginning month of the historical drought spans. Drought intensities became less severe during May and June. SPI becomes greater from July to September particularly in eastern parts of the country.

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지리정보시스템과 토양수분모형을 이용한 농업가뭄분석 (Agricultural Drought Analysis using Soil Water Balance Model and Geographic Information System)

  • 배승종
    • 한국농공학회지
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    • 제41권6호
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    • pp.33-43
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    • 1999
  • Drought is a serious diaster in agriculutre, especially to upland crops. Hence, the Agricultural Drought Analysis Model (ADAM) that is integratable with GIS was applied to analyae agriculture drought in upland. ADAM is composed of two sub-models , one is a Soil Water Balance Model (SWBM) and the other is a Drougth Analysis Model (DAM) that is based on the Runs theory. The ADAM needs weather data, rainfall data and soil physical characteristics data as input and calculates daily soil moisture contents. GIS was integrated to the ADAM for the calculation of regional soil moisture using digitized landuse map, detaile dsoil map, thiessen network and district boundary . For the agriculutral drought analysis, the ADAM adapt the Runs theory for analyzing drought duration, severity and magnitude . Log-Pearson Type-III probability distribution function and Kolmogorov-Smirnov test were used to test the fitness of good of the model. The integration of ADAM with GIS was successfully implemented and would be operated effectively for the regional drought analysis.

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Study on Multiscale Analysis on Drought Characteristics

  • Uranchimeg, Sumiya;Kwon, Hyun Han
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2015년도 학술발표회
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    • pp.611-611
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    • 2015
  • One of the hazard of nature is a drought. Its impact varies from region to region and it is difficult for people to understand and define due to differences in hydrometeorological and social economic aspects across much of the country. In the most general sense, drought originates from a deficiency of precipitation over an extended period of time, usually month, season or more, resulting in a water shortage for some activity, group, or environmental sector. Palmer Drought Severity Index (PDSI) is well known and has been used to study aridity changes in modern and past climates. The PDSI index is estimated over US using USHCN historical data.(e.g. precipitation, temperature, latitude and soil moisture). In this study, low frequency drought variability associated with climate variability such as El-Nino and ENSO is mainly investigated. With respect to the multi-scale analysis, wavelet transform analysis is applied to the PDSI index in order to extract the low frequency band corresponding to 2-8 years. Finally, low frequency patterns associated with drought by comparing global wavelet power, with significance test are explored.

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Assessment of Drought on the Goseong-Sokcho Forest Fire in 2019 using Multi-year High-Resolution Synthetic Precipitation Data

  • Sim, Jihan;Oh, Jaiho
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.379-379
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    • 2020
  • The influence of drought has increased due to global warming. In addition, forest fires have occurred more frequently due to droughts and resulted in property losses and casualty. In this study, the effects of drought on Goseong-Sokcho Forest Fire in 2019 were analyzed using high-resolution synthetic precipitation data. In order to determine the severity of drought, the average, 20%tile and 80%ile values were calculated using the synthetic precipitation data of the past 30 years and compared with the current climatology. We have investigated the multi-year accumulated precipitation data to determine the persistence of drought. In Goseong-Sokcho forest fire case, the two-year cumulative synthetic precipitation data shows a similar value to the climate, but the three-year cumulative synthetic precipitation data was close to the 20%ile lines of the climate value. It may expose that the shortage of precipitation in 2017 had persisted until 2019, despite abundant precipitation during the summer in 2018. Therefore, Goseong-Sokcho forest fire might be spread more rapidly by drought which has been persisted since 2017.

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측우기 및 미래 기후변화 시나리오 자료를 활용한 서울지역의 가뭄 위험도 분석 (Drought Risk Analysis in Seoul Using Cheugugi and Climate Change Scenario Based Rainfall Data)

  • 김지은;유지수;이주헌;김태웅
    • 대한토목학회논문집
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    • 제38권3호
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    • pp.387-393
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    • 2018
  • 기후변화의 영향으로 극심한 가뭄에 의한 피해가 증가하고 있으며, 이러한 피해를 줄이기 위하여 극한 가뭄에 대한 정량적인 분석이 필요하다. 따라서 본 연구에서는 극한 가뭄의 위험도에 대한 정량적 분석을 위해 임계수준방법을 측우기 강우자료, 관측 강우자료, 미래 기후변화 시나리오 강우 자료에 적용하여 가뭄사상을 정의하고 가뭄의 지속기간과 심도를 도출하였다. 또한, 코플라 함수를 활용하여 가뭄 지속기간 및 심도를 동시에 고려하는 이변량 가뭄빈도해석을 실시하였다. 이변량 가뭄빈도곡선을 바탕으로 과거 현재 미래에 대한 위험도를 산정했으며, 과거 및 현재를 기준으로 미래의 극한 가뭄에 대한 위험도를 분석하였다. 그 결과 과거 및 현재에 비해 미래의 평균 가뭄 지속기간은 짧게 나타났으나 평균 가뭄 심도는 매우 크게 나타났다. 따라서 미래에는 짧은 기간의 심한 가뭄들이 발생할 것으로 예측된다. 또한, 최대가뭄의 위험도를 분석한 결과 미래의 최대 가뭄 위험도는 과거 및 현재에 비해 각각 1.39~1.94배, 1.33~1.81배 큰 것으로 확인되었다. 최종적으로 미래에서 과거 및 현재의 기왕최대 가뭄 이상의 극한 가뭄위험도는 0.989와 1.0 사이의 범위를 가지는 것으로 나타나, 미래에는 극한 가뭄의 발생확률이 높은 것으로 판단된다.

QTL Identification for Slow Wilting and High Moisture Contents in Soybean (Glycine max [L.]) and Arduino-Based High-Throughput Phenotyping for Drought Tolerance

  • Hakyung Kwon;Jae Ah Choi;Moon Young Kim;Suk-Ha Lee
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.25-25
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    • 2022
  • Drought becomes frequent and severe because of continuous global warming, leading to a significant loss of crop yield. In soybean (Glycine max [L.]), most of quantitative trait loci (QTLs) analyses for drought tolerance have conducted by investigating yield changes under water-restricted conditions at the reproductive stages. More recently, the necessity of QTL studies to use physiological indices responding to drought at the early growth stages besides the reproductive ones has arisen due to the unpredictable and prevalent occurrence of drought throughout the soybean growing season. In this study, we thus identified QTLs conferring wilting scores and moisture contents of soybean subjected to drought stress in the early vegetative stage using an recombinant inbred line (RIL) population derived from a cross between Taekwang (drought-sensitive) and SS2-2 (drought-tolerant). For the two traits, the same major QTL was located on chromosome 10, accounting for up to 11.5% of phenotypic variance explained with LOD score of 12.5. This QTL overlaps with a reported QTL for the limited transpiration trait in soybean and harbors an ortholog of the Arabidopsis ABA and drought-induced RING-D UF1117 gene. Meanwhile, one of important features of plant drought tolerance is their ability to limit transpiration rates under high vapor pressure deficiency in response to mitigate water loss. However, monitoring their transpiration rates is time-consuming and laborious. Therefore, only a few population-level studies regarding transpiration rates under the drought condition have been reported so far. Via employing an Arduino-based platform, for the reasons addressed, we are measuring and recording total pot weights of soybean plants every hour from the 1st day after water restriction to the days when the half of the RILs exhibited permanent tissue damage in at least one trifoliate. Gradual decrease in moisture of soil in pots as time passes refers increase in the severity of drought stress. By tracking changes in the total pot weights of soybean plants, we will infer transpiration rates of the mapping parents and their RILs according to different levels of VPD and drought stress. The profile of transpiration rates from different levels of severity in the stresses facilitates a better understanding of relationship between transpiration-related features, such as limited maximum transpiration rates, to water saving performances, as well as those to other drought-responsive phenotypes. Our findings will provide primary insights on drought tolerance mechanisms in soybean and useful resources for improvement of soybean varieties tolerant to drought stress.

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토양수분지수를 이용한 유역단위 가뭄 평가 (Watershed Scale Drought Assessment using Soil Moisture Index)

  • 김옥경;최진용;장민원;유승환;남원호;이주헌;노재경
    • 한국농공학회논문집
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    • 제48권6호
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    • pp.3-13
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    • 2006
  • Although the drought impacts are comparably not catastrophic, the results from the drought are fatal in various social and economical aspects. Different from other natural hazards including floods, drought advances slowly and spreads widely, so that the preparedness is quite important and effective to mitigate the impacts from drought. Soil moisture depletion directly resulted from rainfall shortage is highly related with drought, especially for crops and vegetations, therefore a drought can be evaluated using soil moisture conditions. In this study, SMI (Soil Moisture Index) was developed to measure a drought condition using soil moisture model and frequency analysis for return periods. Runs theory was applied to quantify the soil moisture depletions for the drought condition in terms of severity, magnitude and duration. In 1994, 1995, 2000, and 2001, Korea had experienced several severe droughts, so the SMI developed was applied to evaluate applicability in the mid-range hydrologic unit watershed scale. From the results, SMI demonstrated the drought conditions with a quite sensitive manner and can be used as an indicator to measure a drought condition.