• Title/Summary/Keyword: Drought

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Drought Assessment Using Standardized Precipitation Index and Streamflow Drought Index in Yeoncheon Region (연천지역의 표준 강수 지수와 하천 유량 가뭄지수를 이용한 가뭄 평가)

  • Il Hwan Kim;Joo-heon Lee;Il-Moon Chung
    • The Journal of Engineering Geology
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    • v.33 no.2
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    • pp.241-256
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    • 2023
  • Long-term droughts and frequent spring droughts are causing damage to crops, which are the means of livelihood of residents of the Yeoncheon region. To analyze the degree of drought in Yeoncheon, the ratio of monthly precipitation and discharge was reviewed through observed data, and the standardized precipitation index and streamflow drought index were calculated. As a result of drought analysis using precipitation and discharge observation stations near the Yeoncheon basin, it was analyzed that the drought that occurred in 2014 was common to all drought indices and that drought occurred continuously until 2019, either large or small. In the case of drought indices with a duration of 12 months, it is expected that the damage caused by the drought would be severe as the drought period lasted 24 months. In order to manage drought damage, it is important to understand and predict the current state of drought. In order to cope with drought in advance, it is urgent to implement an integrated operation management strategy for rivers and waterworks structures according to the degree and duration of drought.

Comparison of Meteorological Drought Indices Using Past Drought Cases of Taebaek and Sokcho (태백, 속초 과거 가뭄사례를 이용한 기상학적 가뭄지수의 비교 고찰)

  • Kang, Dong Ho;Nam, Dong Ho;Kim, Byung Sik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.6
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    • pp.735-742
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    • 2019
  • Drought is a social phenomenon in which the degree of perception varies depending on the affected factors, and is defined as various relative concepts such as meteorological drought, hydrological drought, agricultural drought, and climatological drought. In this study, a comparative analysis of meteorological drought among variously defined droughts was conducted and the applicability of the drought index was examined by comparing the actual drought cases and the results of meteorological drought index analysis. In order to compare the drought index, we used standardized Precipitation Index (SPI), China-Z Index (CZI), Modified CZI (MCZI) and Z-Score Index Respectively. Four drought indices were used for the Taebaek and Sokcho areas. The drought index was analyzed using the meteorological data from 1986 to 2015 for a duration of 3 months. As a result of the analysis, the SPI drought index was analyzed to be highly reproducible for the case of drought with past limited water series. In the case of CZI and MCZI drought indices, the number of extreme dry occurrences is similar to that of the past cases, but the reproducibility is low for the actual drought years. In the case of ZSI drought index, it is analyzed that the number of occurrences and the comparison with the past cases are inferior in reproducibility. For the meteorological drought index using precipitation, it would be effective to use the SPI drought index with the highest reproducibility and the past drought case.

Drought evaluation using unstructured data: a case study for Boryeong area (비정형 데이터를 활용한 가뭄평가 - 보령지역을 중심으로 -)

  • Jung, Jinhong;Park, Dong-Hyeok;Ahn, Jaehyun
    • Journal of Korea Water Resources Association
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    • v.53 no.12
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    • pp.1203-1210
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    • 2020
  • Drought is caused by a combination of various hydrological or meteorological factor, so it is difficult to accurately assess drought event, but various drought indices have been developed to interpret them quantitatively. However, the drought indexes currently being used are calculated from the lack of a single variable, which is a problem that does not accurately determine the drought event caused by complex causes. Shortage of a single variable may not be a drought, but it is judged to be a drought. On the other hand, research on developing indices using unstructured data, which is widely used in big data analysis, is being carried out in other fields and proven to be superior. Therefore, in this study, we intend to calculate the drought index by combining unstructured data (news data) with weather and hydrologic information (rainfall and dam inflow) that are being used for the existing drought index, and to evaluate the utilization of drought interpretation through verification of the calculated drought index. The Clayton Copula function was used to calculate the joint drought index, and the parameter estimation was used by the calibration method. The analysis showed that the drought index, which combines unstructured data, properly expresses the drought period compared to the existing drought index (SPI, SDI). In addition, ROC scores were calculated higher than existing drought indices, making them more useful in drought interpretation. The joint drought index calculated in this study is considered highly useful in that it complements the analytical limits of the existing single variable drought index and provides excellent utilization of the drought index using unstructured data.

Hydrological Drought Analysis using Copula Theory (Copula 이론을 이용한 수문학적 가뭄 분석)

  • Kwak, Jae Won;Kim, Duck Gil;Lee, Jong Soo;Kim, Hung Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.3B
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    • pp.161-168
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    • 2012
  • Drought is a normal and recurrent phenomenon. But, recurring prolonged droughts have caused consequences and diverse impacts on human system. Therefore, understanding drought characteristics is indispensable element in well-prepared drought management. This study aims to investigate the hydrological droughts of Pyongchang stream and Upstream of Namhan-river in Korean peninsula. For modelling of the joint distribution of drought duration and drought severity, the copula method is used to construct the bivariate drought distribution and return period from the predetermined marginal distributions of drought duration and drought severity. As the result, the most severed drought of the Pyongchang stream and Upstream of Namhan-river occuring during period 1967 to 2007 is the 1981 and 1973. Return period for this drought derived from copula is 550 and 110 years.

A Simple Method of Seedling Screening for Drought Tolerance in Soybean

  • Kim, Young-Jin;S. Shanmungasundaram;Yun, Song-Joong;Park, Ho-Ki;Park, Moon-Soo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.46 no.4
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    • pp.284-288
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    • 2001
  • Water deficit is a serious constraint to soybean [Glycine max L. (Merr.)] production in rainfed regions of Asia, Africa, and America. This study was conducted to develop a simple and effective screening method for drought tolerance in soybean. Fifteen soybean cultivars, eight identified to be drought-tolerant and seven drought-sensitive in previous studies, were used for the evaluation of drought tolerance under the new screening conditions. The seedling screening method was consisted of a treatment in a PEG solution and drought treatment in parafilm-layered pots. 5-day-old seedlings were treated in a 18% PEG solution for 4 days and their wilting and hypocotyl browning were recorded. Three seedlings grown in a parafilm-layered pot containing peat moss were drought-stressed by withholding water from the third day after seedling emergence, and root and seedling growth were examined. Degree of drought tolerance were rated based on seedling vigor in the PEG solution and drought-stressed parafilm-layered pots, and also on the penetration ability of roots through parafilm layer. Most of seedlings of the drought-tolerant cultivars showed higher vigour and root penetration than those of the drought-sensitive cultivars under the new screening conditions. Our results indicate that the new method can be used as a simple and effective screening procedure for drought tolerance in soybean breeding programs.

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Classifying meteorological drought severity using a hidden Markov Bayesian classifier

  • Sattar, Muhammad Nouman;Park, Dong-Hyeok;Kwon, Hyun-Han;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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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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Probabilistic Analysis of Drought Characteristics in Pakistan Using a Bivariate Copula Model

  • Jehanzaib, Muhammad;Kim, Ji Eun;Park, Ji Yeon;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.151-151
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    • 2019
  • Because drought is a complex and stochastic phenomenon in nature, statistical approaches for drought assessment receive great attention for water resource planning and management. Generally drought characteristics such as severity, duration and intensity are modelled separately. This study aims to develop a relationship between drought characteristics using a bivariate copula model. To achieve the objective, we calculated the Standardized Precipitation Index (SPI) using rainfall data at 6 rain gauge stations for the period of 1961-1999 in Jehlum River Basin, Pakistan, and investigated the drought characteristics. Since there is a significant correlation between drought severity and duration, they are usually modeled using different marginal distributions and joint distribution function. Using exponential distribution for drought severity and log-logistic distribution for drought duration, the Galambos copula was recognized as best copula to model joint distribution of drought severity and duration based on the KS-statistic. Various return periods of drought were calculated to identify time interval of repeated drought events. The result of this study can provide useful information for effective water resource management and shows superiority against univariate drought analysis.

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Analysis of drought propagation using hydrometeorological data: from meteorological drought to agricultural drought (수문기상 정보를 이용한 가뭄 전이 분석: 기상학적 가뭄에서 농업적 가뭄)

  • Yu, Myungsu;Cho, Younghyun;Kim, Tae-Woong;Chae, Hyo-Sok
    • Journal of Korea Water Resources Association
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    • v.51 no.3
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    • pp.195-205
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    • 2018
  • Drought is a complex phenomenon caused by various factors which can be classified into natural and anthropogenic causes. In Korea, the natural drought typically occurs when the high pressure of the Pacific Ocean develops rapidly or becomes stronger than usual in summer, resulting in a short-lived monsoon season. Drought also can be classified into meteorological, agricultural, hydrological, and socioeconomic drought depending on the development process and consequences. Each type of droughts can influence the other drought types directly or indirectly. Drought propagation refers a phenomenon that changes from meteorological drought to agricultural or hydrological drought. In this study, the occurrence and patterns of drought propagation are evaluated. The relationship between meteorological and agricultural droughts was assessed using hydrometeorological data. We classified the types of drought into five categories to evaluate the occurrence and characteristics of drought propagation. As results, we found drought propagation did not occur or delayed until three months, depending on the type of drought. The further generalized relationship of drought propagation is expected to be used for predicting agricultural drought from the preceding meteorological drought.

Assessment of Drought Risk in Korea: Focused on Data-based Drought Risk Map (우리나라 가뭄 위험도 평가: 자료기반 가뭄 위험도 지도 작성을 중심으로)

  • Park, Jong Yong;Yoo, Ji Young;Lee, Minwoo;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.4B
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    • pp.203-211
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    • 2012
  • Once drought occurs, it results in the extensive affected area and considerable socio-economic damages. Thus, it is necessary to assess drought risk and to prepare its counterplans. In this study, using various observation data on meteorological and socio-economical factors, drought risk was evaluated in South Korea. To quantify drought risk, Drought Hazard Index (DHI) was calculated based on the occurrence probability of drought, and Drought Vulnerability Index (DVI) was computed to reflect socio-economic consequences of drought. Drought Risk Index (DRI) was finally suggested by combining DHI and DVI. These indices were used to assess drought risk for different administrative districts of South Korea. The overall results show that the highest drought risk area was Jeolla Province where agricultural practice is concentrated. The drought risk map proposed in this study reflects regional characteristics, thus it could be utilized as a basic data for the establishment of drought preventive measures.

Development of Drought Monitoring System: I. Applicability of Drought Indices for Quantitative Drought Monitoring (가뭄모니터링 시스템 구축: I. 정량적 가뭄모니터링을 위한 가뭄지수의 적용성 분석)

  • Lee Joo-Heon;Jeong Sang-Man;Kim Seong-Joon;Lee Myung-Ho
    • 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.