• Title/Summary/Keyword: drought year

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An Analysis of Historical Precipitation data for Water Resources Planning (수자원 계획을 위한 과거 강수량자료의 분석)

  • 이동률;홍일표
    • Water for future
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    • v.27 no.3
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    • pp.71-82
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    • 1994
  • A statistical characteristics, relations of calendar and water year, and frequencies of precipitaion which are necessary for water resources planning were analyzed with long historical data(1905-1991 years). And the analysis of precipitation of the drought periods in 1967-1968 years was carried out. The study basins are the five major rivers in Korea. As a results of this study, annual precipitation shows an increasing trend but its variation has no statistical significance. The rellations of calendar and water year precipitation is presented, it shows that there are little difference of the total precipitation between them. The annual minimum series of total precipitation for the periods of 3, 6, 9, and 12 months by water year are constructed, and frequency precipitation for each periods using 2-parameter lognormal distribution is presented. The analysis of the precipitation in 1967-1968 years shows in a natural river basins that it would be a moderate drought, if dry seasons(Oct-May) or wet seasons(Jun-Sep) has 75 percents of historical mean precipitation of the same periods. And if it has less than 60 percents of historical mean precipitation, it would be a severe drought.

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Agricultural drought monitoring using the satellite-based vegetation index (위성기반의 식생지수를 활용한 농업적 가뭄감시)

  • Baek, Seul-Gi;Jang, Ho-Won;Kim, Jong-Suk;Lee, Joo-Heon
    • Journal of Korea Water Resources Association
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    • v.49 no.4
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    • pp.305-314
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    • 2016
  • In this study, a quantitative assessment was carried out in order to identify the agricultural drought in time and space using the Terra MODIS remote sensing data for the agricultural drought. The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) were selected by MOD13A3 image which shows the changes in vegetation conditions. The land cover classification was made to show only vegetation excluding water and urbanized areas in order to collect the land information efficiently by Type1 of MCD12Q1 images. NDVI and EVI index calculated using land cover classification indicates the strong seasonal tendency. Therefore, standardized Vegetation Stress Index Anomaly (VSIA) of EVI were used to estimated the medium-scale regions in Korea during the extreme drought year 2001. In addition, the agricultural drought damages were investigated in the country's past, and it was calculated based on the Standardized Precipitation Index (SPI) using the data of the ground stations. The VSIA were compared with SPI based on historical drought in Korea and application for drought assessment was made by temporal and spatial correlation analysis to diagnose the properties of agricultural droughts in Korea.

Relationship between EI Ni o/Southern Oscillation and Drought in Korea (엘니뇨/남방진동과 한국의 가뭄과 관계)

  • Lee, Dong-Ryul
    • Journal of Korea Water Resources Association
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    • v.32 no.2
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    • pp.111-120
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    • 1999
  • The relationship between EI Nino-Southern Oscillation(ENSO) and drought in Korea is investigated using the cross correlation analysis. In this paper, Palmer Drought Severity Index(PDSI) is used as an index of drought and nine ENSO indicators are used. To obtain PDSI for Korea, the PDSI equation is derived using monthly precipitation and temperature in Korea. In addition, ENSO composite percentile analyses for PDSI, precipitation and streamflow in Korea are performed to verify the results of the cross correlation. Results of the cross correlation show that the link between drought in Korea and ENSO is statistically significant with 6% of the variance in PDSI for Korea explained by ENSO. The PDSI is negatively correlated with the equatorial Pacific Sea Surface Temperature and the Sea Level Pressure(SLP) at Darwin leading by about 16 months. However, the relationship of the PDSI with the Southern Oscillation Index and the SLP at Tahiti is positive correlation. The ENSO composite percentile analyses show that drought, precipitation and streamflow in Korea are associated with ENSO during 6 months from December of the ENSO ending year

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Proposal of Agricultural Drought Re-evaluation Method using Long-term Groundwater Level Monitoring Data (장기 지하수위 관측자료를 활용한 농업가뭄 재평가 방안 제언)

  • Jeong, ChanDuck;Lee, ByungSun;Lee, GyuSang;Kim, JunKyum
    • Journal of Soil and Groundwater Environment
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    • v.26 no.4
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    • pp.27-43
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    • 2021
  • Since climate factors, such as precipitation, temperature, etc., show repeated patterns every year, it can be said that future changes can be predicted by analyzing past climate data. As with groundwater, seasonal variations predominate. Therefore, when a drought occurs, the groundwater level is also lowered. Thus, a change in the groundwater level can represent a drought. Like precipitation, groundwater level changes also have a high correlation with drought, so many researchers use Standard Groundwater Level Index (SGI) to which the Standard Precipitation Index (SPI) method is applied to evaluate the severity of droughts and predict drought trends. However, due to the strong interferences caused by the recent increase in groundwater use, it is difficult to represent the droughts of regions or entire watersheds by only using groundwater level change data using the SPI or SGI methods, which analyze data from one representative observation station. Therefore, if the long-term groundwater level changes of all the provinces of a watershed are analyzed, the overall trend can be shown even if there is use interference. Thus, future groundwater level changes and droughts can be more accurately predicted. Therefore, in this study, it was confirmed that the groundwater level changes in the last 5 years compared with the monthly average groundwater level changes of the monitoring wells installed before 2015 appeared similar to the drought occurrence pattern. As a result of analyzing the correlation with the water storage yields of 3,423 agricultural reservoirs that do not immediately open their sluice gates in the cases of droughts or floods, it was confirmed that the correlation was higher than 56% in the natural state. Therefore, it was concluded that it is possible to re-evaluate agricultural droughts through long-term groundwater level change analyses.

Review of Disease Incidence of Major Crops in 2000 (2000년 농작물 병해 발생 개황)

  • Kim, Choong-Hoe
    • The Korean Journal of Pesticide Science
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    • v.5 no.1
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    • pp.1-11
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    • 2001
  • Climate in the year of 2000 was characterized as a long severe drought in tile spring, unusually high and low temperature in summer, two times of typoons, and floods by heavy rains in fall. Rice leaf and panicle blast and bacterial grain rot occurred severely comparing with 1999 and Bipolaris leaf spot spread over tile country. Phytophthora blight and anthracnose in red-pepper became epidemic especially in the late season causing severe yield losses. Tomato fusaruim wilt, CGMMV, powdery mildew, and sudden wilt syndrom of cucurbits and strawberry powdery mildew were also severe in 2000. In garlic, sclerotium rot occurred severely mainly due to the frequent rainfalls in planting time and much snowfalls in 1999's winter. Spring potato had severe infection of viruses due to a long spring drought, and fall potato had high incidence of bacterial soft rot and bacterial wilt due to fall floods by heavy rains. In sweet potato fusarium wilt was the most severe as in other year. Disease incidence of apple and pear trees was rotatively mild compared with previous years. In wheat and barley, Gibberella petch rarely occurred because of spring drought.

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Analysis of Dry Year Return Period and Duration Based on the Poisson Process (포아송 과정을 이용한 과우해의 재현기간 및 지속특성 분석)

  • Yoo, Chul-Sang
    • Journal of Korea Water Resources Association
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    • v.37 no.1
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    • pp.13-19
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    • 2004
  • This study shows the possible use of the Poisson process for the characterization of dry year return period and duration. For the analysis we used an annual precipitation data, which has been collected since 1911 in Seoul. The highest threshold for the application of the Poisson process was determined to be the mean-0.5standard deviation, and then the results from the Poisson process are compared with the observed. Especially, the Poisson process was found to reproduce the mean duration and return interval quite well and show the possibility of using the Poisson process for the drought analysis.

SPECTRAL ANALYSIS OF WATER-STRESSED FOREST CANOPY USING EO-l HYPERION DATA

  • Kook Min-Jung;Shin Jung-Il;Lee Kyu-Sung
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.7-10
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    • 2005
  • Plant water deficiency during drought season causes physiological stress and can be a critical indicator of forest fire vulnerability. In this study, we attempt to analyze the spectral characteristics of water stressed vegetation by using the laboratory measurement on leaf samples and the canopy reflectance spectra extracted from satellite hyperspectral image data. Leaf-level reflectance spectra were measured by varying moisture content using a portable spectro-radiometer. Canopy reflectance spectra of sample forest stands of two primary species (pine and oak) located in central part of the Korean peninsula were extracted from EO-l Hyperion imaging spectrometer data obtained during the drought season in 2001 and the normal precipitation year in 2002. The preliminary analysis on the reflectance spectra shows that the spectral characteristics of leaf samples are not compatible with the ones obtained from canopy level. Although moisture content of vegetation can be influential to the radiant flux reflected from leaf-level, it may not be very straightforward to obtain the spectral characteristics that are directly related to the level of canopy moisture content. Canopy spectra form forest stands can be varied by structural variables (such as LAt, percent coverage, and biomass) other than canopy moisture content.

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Development of Operation Rules in Agricultural Reservoirs using Real-Time Water Level and Irrigation Vulnerability Index (실시간 저수위 및 용수공급 취약성 지표를 활용한 농업용 저수지 운영 기준 개발)

  • Nam, Won Ho;Choi, Jin Yong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.6
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    • pp.77-85
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    • 2013
  • The efficient operation and management strategies of reservoirs in irrigation periods of drought events are an essential element for drought planning and countermeasure. Korea Rural Community Corporation has developed the real-time water level observation system of agricultural reservoirs to efficiently operate reservoirs, however, it is not possible to predict drought conditions, and only provides information of current situation. Hence, it is necessary to evaluate accurate irrigation vulnerability and efficiently reservoir operation rules using current water level. In this paper, the improvement methods of reservoir operation planning were developed with water supply vulnerability characteristic curves comparing to automatic water gauge at agricultural reservoirs. The 11 reservoirs were simulated applying the reservoir operation rules which was determined by irrigation vulnerability characteristic curves criteria and real time water level, and evaluated water supply situation in 2012 year. The analysis of results can be identified probabilistic possibility of water supply failures compared with the existing reservoir operation criteria. These results of efficient reservoir operation rules can be achieved enable irrigation planners to optimally manage available water resources for decision making, and contributed to maintain the water supply according to demand strategy for agricultural reservoirs management.

The method of period division and range setting for annual river discharge management (연중 하천유량 관리를 위한 기간 구분 및 관리범위 설정 방안)

  • Park, Tae Sun
    • Journal of Korea Water Resources Association
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    • v.56 no.1
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    • pp.1-9
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    • 2023
  • Until now, the periods of river discharge management throughout a year are divided into flood and non-flood periods, and the ranges of discharges to be managed are broadly defined from drought discharge to flood discharge. In this study, using the long-term daily discharge data from 8 points of four major rivers, we propose a method of dividing the year into several periods with the homogeneous mean and dispersion of discharges. As a result of the study, the period of through a year was different depending on the point, but it could be divided into pre-flood period, flood period, and post-flood period. And the more subdivided the period, the more decreased the ratio of the maximum discharge to the minimum discharge. In addition, in order to ensure that the discharge for a year is more than the drought discharge and less than the flood discharge, to set the range of discharge management per period as the average flow ± standard deviation for each period is proposed.

Applicability Assessment of Hydrological Drought Outlook Using ESP Method (ESP 기법을 이용한 수문학적 가뭄전망의 활용성 평가)

  • Son, Kyung Hwan;Bae, Deg Hyo
    • Journal of Korea Water Resources Association
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    • v.48 no.7
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    • pp.581-593
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    • 2015
  • This study constructs the drought outlook system using ESP(Ensemble Streamflow Prediction) method and evaluates its utilization for drought prediction. Historical Runoff(HR) was estimated by employing LSM(Land Surface Model) and the observed meteorological, hydrological and topographical data in South Korea. Also Predicted Runoff(PR) was produced for different lead times(i.e. 1-, 2-, 3-month) using 30-year past meteorological data and the initial soil moisture condition. The HR accuracy was higher during MAM, DJF than JJA, SON, and the prediction accuracy was highly decreased after 1 month outlook. SRI(Standardized Runoff Index) verified for the feasibility of domestic drought analysis was used for drought outlook, and PR_SRI was evaluated. The accuracy of PR_SRI with lead times of 1- and 2-month was highly increased as it considered the accumulated 1- and 2-month HR, respectively. The Correlation Coefficient(CC) was 0.71, 0.48, 0.00, and Root Mean Square Error(RMSE) was 0.46, 0.76, 1.01 for 1-, 2- and 3-month lead times, respectively, and the accuracy was higher in arid season. It is concluded that ESP method is applicable to domestic drought prediction up to 1- and 2-month lead times.