• Title/Summary/Keyword: drought monitoring

Search Result 180, Processing Time 0.033 seconds

Comparative Analysis of the 2022 Southern Agricultural Drought Using Evapotranspiration-Based ESI and EDDI (증발산 기반 ESI와 EDDI를 활용한 2022년 남부지역의 농업 가뭄 분석)

  • Park, Gwang-Su;Nam, Won-Ho;Lee, Hee-Jin;Sur, Chanyang;Ha, Tae-Hyun;Jo, Young-Jun
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.66 no.3
    • /
    • pp.25-37
    • /
    • 2024
  • Global warming-induced drought inflicts significant socio-economic and environmental damage. In Korea, the persistent drought in the southern region since 2022 has severely affected water supplies, agriculture, forests, and ecosystems due to uneven precipitation distribution. To effectively prepare for and mitigate such impacts, it is imperative to develop proactive measures supported by early monitoring systems. In this study, we analyzed the spatiotemporal changes of multiple evapotranspiration-based drought indices, focusing on the flash drought event in the southern region in 2022. The indices included the Evaporative Demand Drought Index (EDDI), Standardized Precipitation Evapotranspiration Index (SPEI) considering precipitation and temperature, and the Evaporative Stress Index (ESI) based on satellite images. The Standardized Precipitation Index (SPI) and SPEI indices utilized temperature and precipitation data from meteorological observation stations, while the ESI index was based on satellite image data provided by the MODIS sensor on the Terra satellite. Additionally, we utilized the Evaporative Demand Drought Index (EDDI) provided by the North Oceanic and Atmospheric Administration (NOAA) as a supplementary index to ESI, enabling us to perform more effective drought monitoring. We compared the degree and extent of drought in the southern region through four drought indices, and analyzed the causes and effects of drought from various perspectives. Findings indicate that the ESI is more sensitive in detecting the timing and scope of drought, aligning closely with observed drought trends.

Development of groundwater level monitoring and forecasting technique for drought analysis (I) - Groundwater drought monitoring using standardized groundwater level index (SGI) (가뭄 분석을 위한 지하수위 모니터링 및 예측기법 개발(I) - 표준지하수지수(SGI)를 이용한 지하수 가뭄 모니터링)

  • Lee, Jeongju;Kang, Shinuk;Jeong, Jihye;Chun, Gunil
    • Journal of Korea Water Resources Association
    • /
    • v.51 no.11
    • /
    • pp.1011-1020
    • /
    • 2018
  • This study aims to develop a drought monitoring scheme based on groundwater which can be exploit for water supply under drought stress. In this context, groundwater level can be used as a proxy for better understanding the temporal evolution of drought state. First, kernel density estimator is presented in the monthly groundwater level over the entire national groundwater stations. The estimated cumulative distribution function is then utilized to map the monthly groundwater level into the standardized groundwater level index (SGI). The SGI for each station was eventually converted into the index for major cities through the Thiessen polygon approach. We provide a drought classification for a given SGI to better characterize the degree of drought condition. Ultimately, we conclude that the proposed monitoring framework enables a more reliable estimation of the drought stress, especially for a limited water supply area.

Evaluation of Utilization of Satellite Remote Sensing Data for Drought Monitoring (가뭄 모니터링을 위한 인공위성 원격탐사자료의 활용 가능성 평가)

  • Won, Jeongeun;Son, Youn-Suk;Lee, Sangho;Kang, Limseok;Kim, Sangdan
    • Korean Journal of Remote Sensing
    • /
    • v.37 no.6_2
    • /
    • pp.1803-1818
    • /
    • 2021
  • As the frequency of drought increases due to climate change, it is very important to have a monitoring system that can accurately determine the situation of widespread drought. However, while ground-based meteorological data has limitations in identifying all the complex droughts in Korea, satellite remote sensing data can be effectively used to identify the spatial characteristics of drought in a wide range of regions and to detect drought. This study attempted to analyze the possibility of using remote sensing data for drought identification in South Korea. In order to monitor various aspects of drought, remote sensing and ground observation data of precipitation and potential evapotranspiration, which are major variables affecting drought, were collected. The evaluation of the applicability of remote sensing data was conducted focusing on the comparison with the observation data. First, to evaluate the applicability and accuracy of remote sensing data, the correlations with observation data were analyzed, and drought indices of various aspects were calculated using precipitation and potential evapotranspiration for meteorological drought monitoring. Then, to evaluate the drought monitoring ability of remote sensing data, the drought reproducibility of the past was confirmed using the drought index. Finally, a high-resolution drought map using remote sensing data was prepared to evaluate the possibility of using remote sensing data for actual drought in South Korea. Through the application of remote sensing data, it was judged that it would be possible to identify and understand various drought conditions occurring in all regions of South Korea, including unmeasured watersheds in the future.

The Estimation of Soil Moisture Index by SWAT Model and Drought Monitoring (SWAT 모형을 이용한 토양수분지수 산정과 가뭄감시)

  • Hwang, Tae Ha;Kim, Byung Sik;Kim, Hung Soo;Seoh, Byung Ha
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.26 no.4B
    • /
    • pp.345-354
    • /
    • 2006
  • Drought brings on long term damage in contrast to flood, on economic loss in the region, and on ecologic and environmental disruptions. Drought is one of major natural disasters and gives a painful hardship to human beings. So we have tried to quantify the droughts for reducing drought damage and developed the drought indices for drought monitoring and management. The Palmer's drought severity index (PDSI) is widely used for the drought monitoring but it has the disadvanges and limitations in that the PDSI is estimated by considering just climate conditions as pointed out by many researchers. Thus this study uses the SWAT model which can consider soil conditions like soil type and land use in addition to climate conditions. We estimate soil water (SW) and soil moisture index (SMI) by SWAT which is a long term runoff simulation model. We apply the SWAT model to Soyang dam watershed for SMI estimation and compare SMI with PDSI for drought analysis. Say, we calibrate and validate the SWAT model by daily inflows of Soyang dam site and we estimate long term daily soil water. The estimated soil water is used for the computation of SMI based on the soil moisture deficit and we compare SMI with PDSI. As the results, we obtained the determination coefficient of 0.651 which means the SWAT model is applicable for drought monitoring and we can monitor drought in more high resolution by using GIS. So, we suggest that SMI based on the soil moisture deficit can be used for the drought monitoring and management.

Combined analysis of meteorological and hydrological drought for hydrological drought prediction and early response - Focussing on the 2022-23 drought in the Jeollanam-do - (수문학적 가뭄 예측과 조기대응을 위한 기상-수문학적 가뭄의 연계분석 - 2022~23 전남지역 가뭄을 대상으로)

  • Jeong, Minsu;Hong, Seok-Jae;Kim, Young-Jun;Yoon, Hyeon-Cheol;Lee, Joo-Heon
    • Journal of Korea Water Resources Association
    • /
    • v.57 no.3
    • /
    • pp.195-207
    • /
    • 2024
  • This study selected major drought events that occurred in the Jeonnam region from 1991 to 2023, examining both meteorological and hydrological drought occurrence mechanisms. The daily drought index was calculated using rainfall and dam storage as input data, and the drought propagation characteristics from meteorological drought to hydrological drought were analyzed. The characteristics of the 2022-23 drought, which recently occurred in the Jeonnam region and caused serious damage, were evaluated. Compared to historical droughts, the duration of the hydrological drought for 2022-2023 lasted 334 days, the second longest after 2017-2018, the drought severity was evaluated as the most severe at -1.76. As a result of a linked analysis of SPI (StandQardized Precipitation Index), and SRSI (Standardized Reservoir Storage Index), it is possible to suggest a proactive utilization for SPI(6) to respond to hydrological drought. Furthermore, by confirming the similarity between SRSI and SPI(12) in long-term drought monitoring, the applicability of SPI(12) to hydrological drought monitoring in ungauged basins was also confirmed. Through this study, it was confirmed that the long-term dryness that occurs during the summer rainy season can transition into a serious level of hydrological drought. Therefore, for preemptive drought response, it is necessary to use real-time monitoring results of various drought indices and understand the propagation phenomenon from meteorological-agricultural-hydrological drought to secure a sufficient drought response period.

Towards an Integrated Drought Monitoring with Multi-satellite Data Products Over Korean Peninsular (위성자료를 활용한 한반도 전역의 가뭄 통합 모니터링 방안)

  • Kim, Youngwook;Shim, Changsub
    • Korean Journal of Remote Sensing
    • /
    • v.33 no.6_1
    • /
    • pp.993-1001
    • /
    • 2017
  • Drought is a worldwide natural disaster with extensively adverse impacts on natural ecosystems, agricultural products, social communities and regional economy. Various global satellite observations, including SMAP soil moisture, GRACE terrestrial water storage, Terra and Aqua vegetation productivity, evapotranspiration, and satellite precipitation measures are currently used to characterize seasonal timing and inter-annual variations of regional water supply pattern, vegetation growth, drought events, and its associated influence ecosystems and human society. We suggest the satellite monitoring system development to quantify meteorological, eco-hydrological, and socio-ecological factors related to drought events, and characterize spatial and temporal drought patterns in Korea. The combination of these complementary remote sensing observations(visible to microwave bands) provide an effective means for evaluating regional variations in the timing, frequency, and duration of drought, and availability of water supply influencing vegetation and crop growth. This integrated drought monitoring could help national capacity to deal with natural disasters.

Analysis of Rice Field Drought Area Using Unmanned Aerial Vehicle (UAV) and Geographic Information System (GIS) Methods (무인항공기와 GIS를 이용한 논 가뭄 발생지역 분석)

  • Park, Jin Ki;Park, Jong Hwa
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.59 no.3
    • /
    • pp.21-28
    • /
    • 2017
  • The main goal of this paper is to assess application of UAV (Unmanned Aerial Vehicle) remote sensing and GIS based images in detection and measuring of rice field drought area in South Korea. Drought is recurring feature of the climatic events, which often hit South Korea, bringing significant water shortages, local economic losses and adverse social consequences. This paper describes the assesment of the near-realtime drought damage monitoring and reporting system for the agricultural drought region. The system is being developed using drought-related vegetation characteristics, which are derived from UAV remote sensing data. The study area is $3.07km^2$ of Wonbuk-myeon, Taean-gun, Chungnam in South Korea. UAV images were acquired three times from July 4 to October 29, 2015. Three images of the same test site have been analysed by object-based image classification technique. Drought damaged paddy rices reached $754,362m^2$, which is 47.1 %. The NongHyeop Agricultural Damage Insurance accepted agricultural land of 4.6 % ($34,932m^2$). For paddy rices by UAV investigation, the drought monitoring and crop productivity was effective in improving drought assessment method.

Estimation on Drought Indicator Using Various Time Series (다양한 시계열을 이용한 가뭄지표 산정)

  • Im, Gyeong-Jin;Sim, Myeong-Pil;Seong, Gi-Won;Lee, Hyeon-Jae
    • Journal of Korea Water Resources Association
    • /
    • v.34 no.6
    • /
    • pp.673-685
    • /
    • 2001
  • In this study, the drought indicator is calculate from the rainfall, daily highest temperature, streamflow and Palmer Drought Severity Index(PDSI) for water plan and drought management in a relatively wide region. Three levels of drought severity, called drought watch, drought warning, and drought emergency, are established for these series which determine exceedance levels. The 25% nonexceedance level is used for drought watch, 10% for drought warning, and 5% for drought emergency to figure how well the drought indicators represent the past-drought and that those can be used for drought monitoring. As a result, 9-month and 12-month precipitation, and PDSI series shows the best consistency and high correlation indicate droughts. Because the results are based on the gauged data and simply calculated, the suggested indices can be used for basic data for drought monitoring system of a basin.

  • PDF

Evaluation of MODIS NDVI for Drought Monitoring : Focused on Comparison of Drought Index (가뭄모니터링을 위한 MODIS NDVI의 활용성 평가: 가뭄지수와의 비교를 중심으로)

  • Park, Jung-Sool;Kim, Kyung-Tak
    • Spatial Information Research
    • /
    • v.17 no.1
    • /
    • pp.117-129
    • /
    • 2009
  • South Korea has been undergoing spring drought periodically and diverse researches using vegetation index have been carried out to monitor spring droughts. The strength of the vegetation index-based drought monitoring is that the monitoring method enables efficient spatio-temporal grasp of changes in drought events. According to the development of low resolution satellite images such as MODIS, which are characterized by outstanding temporal resolution, the use of the method is expected to increase. Drought analysis using vegetation index considered only meteorological factor as a cause that affects vitality of vegetation. But many indirect and direct factors affect vegetation stress, So many uncertainties are involved in such method of analysis. To secure objectivity of drought analysis that uses vegetation index it is therefore necessary to compare the method with most representative drought analysis tools that are used for drought management. In this study, PDSI and SPI which a meteorological drought index that quantifies drought and that is used as a basic index for drought monitoring and MODIS NDVI are compared to propose correlation among them and to show usefulness of drought assessment that uses vegetation index. This study shows changing patterns of NDVI and SPI 6-month are similar and correlation between NDVI and SPI was highest in inland vegetation cover.

  • PDF

Development of a Hydrological Drought Index Considering Water Availability (수자원 가용능력을 고려한 수문학적 가뭄지수의 개발)

  • Park, Min-Ji;Shin, Hyung-Jin;Choi, Young-Don;Park, Jae-Young;Kim, Seong-Joon
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.53 no.6
    • /
    • pp.165-170
    • /
    • 2011
  • Recently natural disasters such as the frequency and intensity of drought have been increasing as a result of climate change. This study suggests a drought index, WADI (Water Availability Drought Index), that considers water availability using 6 components (water intake, groundwater level, agricultural reservoir water level, dam inflow, streamflow, and precipitation) using the Z score and data monitoring on a nationwide level. SPI (Standardized Precipitation Index) was applied in coastal area. For the severe droughts of 2001 spring and 2008 autumn, the index was evaluated by comparison with reported damage areas. suggested to combine The spatial concordance rate of WADI in 2001 and 2008 for estimation of the degree of drought severity was 50 % and 24 % compared to the actual recorded data respectively.