• Journal of Korea Water Resources Association
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• v.39 no.9 s.170
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• pp.787-800
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• 2006

This study is to develop the drought monitoring system of Korea using drought indices such as PDSI, SPI and MSWSI. To analyze the applicability of three different drought indices, monthly based drought indices have been calculated using various kinds of meteorological and hydrologic data. Also past drought events have been investigated to compare the simulation results, which are the severity, duration and locations using monthly drought indices. The drought map which is made by using PDSI shows the best accordance with past drought events in its severity and duration as well. Also SPI(3) shows good accordance with past drought events. As a results of this study, we concluded that three different drought indices can be used as an effective tool for quantitative drought monitoring.

• Journal of Korea Water Resources Association
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• v.47 no.9
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• pp.813-824
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• 2014

In this study, drought of North Korea are analyzed using drought index. 27 weather stations are selected and monthly precipitation and average temperature data are collected for drought analysis. SC-PDSI is used for drought analysis and calculated using collected weather data during 1984~2013 (30 years) in 27 weather stations. From the analysis result of historical drought event using drought index, it is confirmed that severe droughts occurred in the early and mid 2000's at most stations. Secondly, drought frequency analysis was carried out for the derivation of drought severity-duration-frequency (SDF) curves to enable quantitative evaluations of past historical droughts having been occurred in 6 stations (Pyeongyang, Hamheung, Cheongjin, Wonsan, Haeju, Sinuiju). This study can suggest return periods for historical major drought events by using derived SDF curves for each station. In the result, drought events in the early and mid 2000's had return periods of 20~50 years.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.178-178
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• 2023

Drought and flooding have historically coexisted in Korea, occurring at different times and with varying cycles and trends. The drought indicators measured were (PDSI), (SPI), and (SPEI) in order to statistically analyze the annual or periodic drought occurrence and objectively evaluate statistical characteristics such as the periodicity, tendency, and frequency of occurrence of droughts in the Doam watershed. To compute potential evapotranspiration (PET), both Thornthwaite (Thor) and Penman-Monteith (PM) parameterizations were considered, and the differences between the two PET estimators were analyzed. Hence, SPIs 3 and SPIs 6 revealed a tendency to worsen drought in the spring and winter and a tendency to alleviate drought in the summer in the study area. The seasonal variability trend did not occur in the SPIs 12 and PDSI, as it did in the drought index over a short period. As a result of the drought trend study, the drought from winter to spring gets more severe, in addition to the duration of the drought, although the periodicity of the recurrence of the drought ranged from 3 years to 6 years at the longest, indicating that SPIs 3 showed a brief time of around 1 year. SPIs 6 and SPIs 12 had a term of 4 to 6 years, and PDSI had a period of roughly 6 years. Based on the indicators of the PDSI, SPI, and SPEI, the drought severity increases under climate change conditions with the decrease in precipitation and increased water demand as a consequence of the temperature increase. Therefore, our findings show that national and practical measures are needed for both winter and spring droughts, which happen every year, as well as large-scale and extreme droughts, which happen every six years.

• Journal of Korea Water Resources Association
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• v.35 no.4 s.129
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• pp.397-410
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• 2002

In order to quantitatively identify historical drought conditions and to evaluate their variability, drought indices commonly used. The calculation method for the drought index based on the principal hydrological factors, such as precipitation and reservoir storage, can estimate the duration and intensity of a drought. In this study the Palmer-type formula for drought index is derived for the Nakdong River basin by analyzing the monthly rainfall and meteorological data at 21 stations. The Palmer Drought Severity Index(PDSI) is used for dry land sectors to evaluate the meteorological anomaly in terms of an index which permits time and space comparisons of drought severity. The Surface Water Supply Index(SWSI) is devised for the use in conjunction with the Palmer index to provide an objective indicator of water supply conditions in Nakdong River basin. The SWSI was designed to quantify surface water supply capability of a watershed which depends on river and reservoir water The Standardized Precipitation Index(SPI) is evaluated for various time periods of 1 to 12 months in Nakdong River basin. For the purpose of comparison between drought indices correlation coefficient was calculated between indices and appropriate SPI time period was selected as 10 months for Nakdong River basin. A comparative study is made to evaluate the relative severity of the significant droughts occurred in Nakdong River basin since 1976. It turned out that $'94{\sim}'97$ drought was the worst drought in it's severity. It is found that drought indices are very useful tools in quantitatively evaluating the severity of a drought over a river basin.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.1
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• pp.128-141
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• 2010

Drought indices such as SPI(Standard Precipitation Index) and PDSI(Palmer Drought Severity Index) estimated using ground observations are not enough to describe detail spatial distribution of drought condition. In this study, the drought index with improved spatial resolution was estimated by using the CART algorithm and ancillary data such as MODIS NDVI, MODIS LST, land cover, rainfall, average air temperature, SPI, and PDSI data. Estimated drought index using the proposed approach for the year 2008 demonstrates better spatial information than that of traditional approaches. Results show that the availability of satellite imageries and various associated data allows us to get improved spatial drought information using a data mining technique and ancillary data and get better understanding of drought condition and prediction.

• Journal of the Korean earth science society
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• v.27 no.7
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• pp.804-815
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• 2006

Meteorologists define a drought as a period of common dry weather. This may sound straightforward, but it is not so in reality. In this study, we attempted to identify meteorological drought conditions over South Korea. To evaluate the temporal and spatial variability of drought, we calculated two commonly used drought indices, the percent of normal precipitation (PNP) and the Palmer drought severity index (PDSI) calculated from fifty-eight meteorological stations below the Korean Meteorological Administration (KMA). The yearly precipitation has been growing gradually, and the amplitude between maximum and minimum also grow more explicitly from 1960's. According to the analysis of percentile anomaly of monthly precipitation, major drought duration was $1927{\sim}1929,\;1937{\sim}1939,\;1942{\sim}1944,\;1967{\sim}1968,\;1976{\sim}1977,\;1982{\sim}1983,\;1988,\;and\;1994{\sim}1995$. The severe drought occurred most frequently in Mokpo, Daegu, Jeonju, Busan, and Gangneung; it tended to occur more frequently in south sector than in mid sector of Korea and in south west sector than in south east sector. According to the analysis of seasonal distribution, extreme droughts occurred frequently in winter at Seoul, Gangneung, Jeonju, Daegu, and Busan. Severe droughts in summer were formed frequently at Seoul, Gangneung, and Mokpo, while that for spring at Jeonju, Daegu, and Busan. The results of PDSI distribution for the $1994{\sim}1995$ drought period were one of the most severe and widely spreaded droughts; it occurred most frequently in the south sector of South Korea. The comparison of time series between PDSI and Normal Percent showed that they exhibit a strong compatibility for the entire study period; it implies that both drought indices are useful method to indicate drought severity.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.123-123
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• 2011

가뭄은 다른 기상재해들과 달리 특정한 기후현상에 의해 발생하는 사건이 아닌 장기간의 강우 부족으로 인한 물 부족으로부터 기인하며, 가뭄의 특성상 가뭄의 시작과 끝을 명확히 구분하기 힘들며, 심도를 결정짓는 것 또한 어려움이 있다. 이러한 가뭄의 특성을 파악하기 위한 연구는 계속되고 있으며, SPI(Standardized Precipitation Index), PDSI(Palmer Drought Severity Index), SWSI(Surface Water Supply Index), EDI(Effective Drought Index), CMI(Crop Moisture Index)등과 같은 가뭄의 특성을 잘 반영한 가뭄지수의 개발 또한 끊임없이 이어지고 있다. 하지만 이러한 가뭄지수들은 기상학적, 기후학적, 농업적, 수문학적등과 같은 분류에 의해 가뭄의 표현이 상이한 결과를 보여주며, 동일한 방법으로 산정된 가뭄평가지수라 하더라도 지역적인 적합성 정도에서 또한 차이를 보인다. 본 연구에서는 우리나라의 실제 가뭄의 발생사례를 바탕으로 각종 가뭄지수들의 적합도와 가뭄의 변동특성을 파악하고자 한다. 우리나라의 가뭄특성을 확인하기 위하여 보고서 등 각종 문헌과 신문기사를 통해 1973년부터 2009년까지 실제 가뭄발생 기록을 정량화하고 행정구역단위의 우리나라 전역에 공간분포로 표현하였다. 69개 기상관측소의 강수 및 기온 자료를 통해 기상청과(SPI, PDSI, PN, 강수량십분위) 동일한 방법으로 가뭄지수를 산정 후 마찬가지로 행정구역단위의 우리나라 전역에 확장하였으며, 이렇게 생성된 각종 가뭄지수 및 기후변수의 공간분포와 실제 가뭄발생사례의 공간분포를 비교 분석함으로서 각 가뭄지수 및 기후변수의 적합성을 평가하였다. 각 가뭄지수 및 기후변수의 적합성을 평가하기 위하여 ROC space 상의 검정통계량을 이용하였다. 분석결과 PN(Percent of Normal)이 실제 가뭄의 현상을 가장 잘 표현했으며, 강수량, SPI 3, 강수량 십분위 등이 높은 상관성을 보였다. 또한 SPI12, PDSI, PN, 강수량십분위 등이 행정구역에 따른 산포정도가 비교적 낮게 나타났다. 본 연구를 통해 우리나라 전 지역 가뭄의 시 공간적인 가뭄변동특성을 파악하고, 기존에 사용되고 있는 가뭄지수의 적합도 평가를 통해 우리나라 가뭄특성을 가장 잘 반영한 가뭄지수의 선정과 각종 기후특성을 잘 반영하는 좀 더 향상된 가뭄지수 개발에 도움을 줄 수 있으며, 가뭄의 시 공간적인 예측에 대해 적합한 가뭄지수 선택에 도움을 줄 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.34 no.5
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• pp.533-542
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• 2001

In order to establish drought policy, the estimation of drought period for each drought situation should be preceded. Non-linear Water Balance Model(NWBM) and palmer Drought Severity Index (PDSI) can be used for analysis of drought period. As a water balance method considering moisture transfer between land surface and atmosphere, NWBM can be used to estimate transition time between dry and wet period induced by stochastic fluctuations. PDSI is also water balance method to show drought severity comparing actual precipitation with climatically appropriate precipitation based on precipitation and potential evapotranspiration. In this study, the drought periods are estimated using NWBM and PDSI for the Han River Basin. The drought periods according to the soil moisture estimated by NWBS and the drought periods according to drought severity index estimated by PDSI show similar trend. The estimated drought period from extreme drought to wet condition for the Han River Basin is about 3years.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.407-407
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• 2012

우리나라 뿐 아니라 전 세계적으로 지구온난화에 따른 기후변화에 의해 홍수 및 이상가뭄이 빈발하고 있다. 또한 산업화와 도시화에 따른 물수요 및 각종 오폐수의 증가로 수질오염도 심화되어 물 사용의 한계를 느끼게 되는 심각한 상황을 맞이하고 있다. 특히 우리나라는 1990년 이후 남부지역을 중심으로 겨울에서 봄철까지의 만성적인 가뭄 횟수가 증가하고 여름철에는 태풍과 집중호우가 빈번하게 발생함으로써, 가뭄 및 홍수로 인한 피해가 늘어나고 있는 실정이다(한국수자원공사, 2002). 이러한 상황에서 가뭄은 홍수에 비해 체계적인 종합대책 마련이 미비한 실정이다. 가뭄은 불가피성과 반복성을 가진 자연 현상이므로 가뭄 발생 전 사전대비계획과 가뭄발생시 가뭄관리체계 구축을 통해 그 피해를 최소화해야 한다. 또한 가뭄의 특성상 다른 자연재해와는 달리 진행속도가 느리므로 사전에 대처할 수 있는 시간적 여유가 있다. 따라서 가뭄 진행상황의 모니터링을 통해 신속한 대처와 피해경감 효과를 기대할 수 있다. 본 연구에서는 대상지역의 가뭄심도를 평가하여 가뭄상황에 대처하고자 우리나라에 적합한 가뭄 분류기준을 제시하였다. 관측년수 30년 이상의 강우자료를 확보한 61개 지점에 대해 1973년부터 37년 치의 월강우량 자료를 사용하였고 현 정부기관에서 사용되고 있는 가뭄상황단계를 그대로 활용하여 본 연구에서도 통일화된 가뭄 구간을 총 4등급으로 구분하였다. 한국수자원공사에서 제시한 주요가뭄발생현황을 참고하여 우리나라에 맞는 가뭄심도의 분류기준을 가뭄 발생의 누가 확률 98-100%를 예외적인 가뭄(Exceptional Drought), 94-98%를 극심 가뭄(Extreme Drought), 90-94%는 심한 가뭄(Severe Drought), 86-90%는 보통 가뭄(Moderate Drought)으로 구분하였다. 각 지점의 가뭄지수(SPI, PDSI)를 내림차순으로 작성하여 가뭄심도 분류기준에 맞는 가뭄지수의 정량적 값을 산정하였다. SPI와 PDSI의 가뭄심도 분류 결과와 실제 가뭄을 비교하기 위해 년 단위 비교와 월 단위 비교를 분석한 결과, 년 단위 비교와 SPI의 월 단위 비교는 각 지역의 가뭄지수 평가가 대부분 일치하게 나타났으나 같은 기간의 PDSI의 월 단위 비교는 실제 기록과 분석치가 일치하지 않았다. 이는 이들 지수의 상호보완에 대한 추후 연구의 필요성을 보여주는 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.39 no.8 s.169
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• pp.645-658
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• 2006

A hydrological drought index, MSWSI (Modified Surface Water Supply Index) was suggested based on SWSI. South Korea was divided into 32 regions considering the distribution of available gauge station of precipitation, dam storage, stream water level and natural groundwater level. The indices estimated in the regions represent a spatially distribution of drought. Monthly MSWSI was evaluated for the period of 1974 and 2001. The result was compared with PDSI and checked the applicability of the suggested index in our hydrologic drought situation.