• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.1
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• pp.22-34
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• 2007

The purpose of this study is to assess agricultural drought using modified SWSI(Surface Water Supply Index) in Ango and Anseo agricultural district. Precipitation, reservoir inflow and storage data were used for input data of modified SWSI. Precipitation data was obtained from KMA(Korea Meteorological Administration) and reservoir storage data was obtained from KARICO(Korea Agricultural & Rural Infrastructure Corporation) and reservoir inflow data was simulated by SLURP(Simple LUmped Reservoir Parametric). SWSI based agricultural drought index was evaluated for the period of 1983 and 2001. As results, for the drought periods(July-1994, June-1995, May-2001) agricultural drought indices represented extremely drought states. The result was compared with PDSI and SWSI and checked the applicability of the suggested index in our agricultural drought situation.

• Journal of The Korean Society of Agricultural Engineers
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• v.51 no.5
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• pp.35-49
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• 2009

This study proposes a method to evaluate agricultural reservoirs drought by modifying SWSI (Surface Water Supply Index). The method was applied to Geum river basin and the results were represented as spatially distributed information. The SWSI evaluates hydrological drought of watershed unit by selectively applying one or all of the components of snowpack, precipitation, streamflow and reservoir storage. South Korea has 22 % of agricultural area, and rice paddy covers 64 % among them. Usually paddy fields scattered along stream are irrigated by so many small agricultural reservoirs. It is difficult to evaluate agriculture drought by the little information and large number of agricultural reservoirs. In this study, seven agricultural reservoirs over 10 million ton storage capacity were selected in Geum river basin, and the SWSI was evaluated for both upstream and downstream of the reservoirs using 16 years data (1991-2006). Using the results, multiple regression analyses with precipitation and reservoir storage as variables were conducted and the equations were applied to other watersheds. The spatial results by applying regression equations showed that the severe and moderate drought conditions of July and September in 1994, June in 1995, and May in 2001 were well expressed by the watershed unit.

• 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.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2004.11a
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• pp.5-5
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• 2004

• 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.

• Journal of The Korean Society of Agricultural Engineers
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• v.48 no.2
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• pp.37-43
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• 2006

A hydrological drought index, MSWSI (Modified Surface Water Supply Index) was suggested based on SWSI (Surface Water Supply Index). With the available data of spatially distributed observation station of precipitation, dam storage, stream water level and natural groundwater level, South Korea was divided into 32 regions. This was conducted to represent the calculated index as a spatially distributed information. Monthly MSWSI was evaluated for the period of 1974 and 2001. It is necessary to compare this result with PDSI (Palmer Drought Severity Index) and SPI (Standard Precipitation Index), and check the applicability of the suggested index in our hydrological drought situation.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.261-266
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• 2006

전국의 수문학적인 가뭄평가를 위하여 SWSI 가뭄지수를 보완한 MSWSI 개발하였다. MSWSI의 적용을 위하여 가뭄에 영향을 미치는 수문인자가 동일한 지역 즉, 댐, 하천, 지하수, 강수 유역으로 전국을 32개 및 112개의 유역으로 분할하여 적용함으로서 준분포형으로 수문학적 가뭄을 평가하는 동시에 개발된 가뭄평가 기법의 유역분할 개수에 따른 적용성을 검토하였다. 각 유역에 MSWSI를 적용하여 공간적으로 준분포형의 수문학적 가뭄 정보를 획득하였으며, 시간적으로 1974년부터 2001년까지의 1개월 및 1주 간격으로 평가하여 가뭄평가 분석시간 단위에 따른 적용성을 검토하였다. 과거 가뭄사상년도(1994, 1995, 2001년)의 가뭄조사 기록에 대하여 본 연구 결과를 검증하였으며, 기상학적 가뭄지수인 PDSI와 개발된 수문학적인 가뭄평가지수의 결과에 대하여 비교, 분석하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.68-73
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• 2009

본 연구는 SWSI를 보완한 식을 이용하여 금강유역에 대해 농업가뭄지수(ASWSI)를 산정하고 농업가뭄 분포도를 작성하여 가뭄지수에 의한 농업용 저수지 유역의 가뭄을 평가하는 방법을 제시하였다. SWSI는 유역 단위의 수문학적 가뭄을 평가하기 위하여 개발된 지표로서 융설량, 강수량, 하천유출량, 저수지 저류량이 입력인자로서 유역별, 계절별로 입력인자를 선택적으로 적용하여 유역의 수문학적 가뭄을 평가한다. 본 연구에서는 가뭄에 영향을 미치는 인자를 강수량, 저수지 유입량 및 저수량으로 결정하고 ASWSI의 입력인자를 저수지 상류유역은 강수량과 유입량, 하류지역은 강수량과 저수량을 사용하였다. 금강유역 내 천만톤 이상의 대표 저수지 7개를 선정하여 16개년(1991-2006) 동안의 저수지 상 하류 유역의 농업가뭄지수를 산정하였으며, 산정된 결과를 토대로 다중회귀분석을 실시하여 금강유역 용수구역별 농업가뭄지수 분포도를 작성하였다. 적용결과를 과거 가뭄사상에 검증한 결과, 1994년 1, 2차 가뭄 피해기간인 7월과 9월에 대해서 심한가뭄 상태로 표현하였고, 1995년 가장 가뭄이 심화되었던 6월의 가뭄에 대해서도 심한가뭄으로 표현하였으며, 2001년에도 5월의 최대 용수부족 상황에 대해서 심한가뭄을 표현하였다. 이처럼 ASWSI가 실제 가뭄 발생 현상과 일치함을 확인하였으며, 농업가뭄을 표현하는데 있어 적합한 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.127-131
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• 2005

NOAA/AVHRR 위성영상을 이용하여 기상학적 가뭄을 평가하고, SWSI (Surface Water Supply Index)를 보완한 MSWSI (Modified SWSI)를 이용하여 전국을 32개 유역으로 분할 및 적용하여 수문학적인 가뭄을 평가하고, 농업용 저수지의 유입량 및 저수량을 이용하여 용수구역 단위의 농업가뭄을 평가하였다. 기상학적 가뭄평가를 위해서 NOAA/AVHRR 위성영상으로부터 추출된 실제증발산량과 Hamon 방법에 의하여 산정된 잠재증발산량을 이용하여 기후학적 물수지 분석을 수행하고 가뭄파악을 위한 지표인 습윤지표 분포도를 작성하였다. 수문학적 가뭄평가를 위해서 강우량, 하천유량, 댐유입량, 지하수위 자료를 이용하여 1974년부터 2001년까지의 유역단위 MSWSI 값을 산정하였다. 농업 가뭄을 평가하기 위하여 안성시 고삼저수지의 저수량과 SLURP 모형을 이용하여 산정한 유입량으로서 안고용수구역에 대하여 농업 가뭄을 평가하였다.

• Journal of Korea Water Resources Association
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• v.39 no.3 s.164
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• pp.199-214
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• 2006

The efficient management strategies of reservoirs in periods of drought event are an essential element for drought planning. A Water Supply Capacity Index (WSCI) has been developed for the evaluation and effective monitoring of the supply capacity of a reservoir during a drought event. The WSCI is a measure of the duration that a reservoir can supply a required demand under the worst drought condition. The WSCI is not only a useful standard to refer to when making decisions on reservoir operations in a period of drought, but it can be also applied for setting the drought trigger in water demand sites supplied from the reservoir. The correlation between the standardized WSCI and existing drought indices such as PDSI, SPI and SWSI has been analyzed to the applicability of WSCI.