• Title/Summary/Keyword: 누적 강수량

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Introduction of Hydrometeorological Drought Forecasting (기상가뭄예보 소개)

  • Kim, Min Ji;Oh, Tae Suk;Kang, Hye Young;BAK, Seonyeong;Choi, Jae-Cheon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.199-199
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    • 2020
  • 최근 기후변화로 인해 매년 국지적 가뭄이 발생하여 가뭄 피해가 확대되고, 전국적인 물 부족상황이 우려됨에 따라 기상청에서는 '기상가뭄예보'를 통해 대국민, 유관기관을 대상으로 기상가뭄의 현황 및 전망 정보를 제공하고 있다. 기상가뭄예보는 기상청 확률장기예보를 반영하여 강수발생확률이 가장 높았을 경우를 기준으로 지역별 기상학적 가뭄 발생 상황을 예상하는 것으로, '1개월'과 '3개월' 단위로 예보하고 있다. 1개월 전망은 가뭄 현황 및 전망(발표일로부터 4주후 일요일 전망) 정보를 매주 목요일에 제공하고 있으며, 3개월 전망은 3개월간의 전망정보를 관계부처 합동으로 가뭄 예·경보를 통해 매월 10일경에 제공하고 있다. 기상가뭄을 판단하는 기준은 6개월 표준강수지수로, 가뭄단계를 4단계(약한-보통-심한-극심한)로 구분하여 기상가뭄을 판단하고, 지역별(167개 시·군)로 나눠 가뭄지도 형태로 정보를 제공한다. 기상가뭄 현황을 분석하는데 활용되고 있는 자료는 최근 강수량(3·6·12개월 등의 일정 기간 지역별 누적강수량), 6개월 표준강수지수 기준 기상가뭄 발생지역 현황, 기후 감시 자료 등의 내용으로 이를 분석하여 현황 정보를 제공하고 있으며, 전망 자료는 1·3개월 확률장기예보 확률결과를 기반으로 가뭄전망 값을 반영하여 생산한 기상가뭄 전망 결과 및 기상가뭄 발생 예상지역 등의 정보를 기상가뭄예보문으로 작성하여 날씨누리(http://www.kma.go.kr)와 수문기상 가뭄정보 시스템(http://hydro.kma.go.kr/hd)을 통해 정보를 제공하고 있다. 장기간의 강수량 부족으로 시작되는 가뭄은 다양한 형태의 물부족 현상을 유발시키므로 기상가뭄 정보를 활용하여 가뭄에 대해 선제적으로 대응하는 것이 중요하므로 기상청에서는 선제적이고 체계적으로 가뭄에 대응할 수 있도록 기상가뭄예보 서비스를 제공하고 있으며, 지속적으로 제고하여 국민이 공감하고 우리나라에 맞는 기상가뭄 정보를 제공할 수 있도록 노력해 나갈 것이다.

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Meteorological Information for Red Tide : Technical Development of Red Tide Prediction in the Korean Coastal Areas by Meteorological Factors (적조기상정보 : 기상인자를 활용한 연안 적조예측기술 개발)

  • Yoon, Hong-Joo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.391-396
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    • 2005
  • Red tide(harmful algae) in the Korean Coastal Waters has a given a great damage to the fishery every year. However, the aim of our study understands the influence of meteorological factors (air and water tempaerature, precipitation, sunshine, solar radiation, winds) relating to the mechanism of red tide occurrence and monitors red tide by satellite remote sensing, and analyzes the potential area for red tide occurrence by GIS. The meteorological factors have directly influenced on red tide formation. Thus, We want to predict and apply to red tide formation from statistical analyses on the relationships between red tide formation and meteorological factors. In future, it should be realized the near real time monitoring for red tide by the development of remote sensing technique and the construction of integrated model by the red tide information management system (the data base of red tide - meteorological informations).

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Changes of Benthic Macroinvertebrate Community Composition Following Natural Temperature and Precipitation Increase (자연적인 기온과 강수량 증가로 인한 저서성 대형무척추동물 군집 구성의 변화)

  • Hong, Cheol;Kim, Won-Seok;Kwak, Ihn-Sil
    • Korean Journal of Ecology and Environment
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    • v.50 no.3
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    • pp.275-285
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    • 2017
  • To investigate the changes of dominant species of benthic macroinvertebrates according to the changes of temperature and precipitation, we surveyed twenty sites of the main Seomjin River in May and September in 2013 and 2014. The temperature, precipitation, water quality factors and substrate composition, which are important factors in benthos habitat environment, were collected and measured. The average temperature of the Seomjin River increased by $0.2^{\circ}C$ in 2014 compared to 2013, and the temperature increased from upstream to downstream, showing a difference of more than $3^{\circ}C$. Also, the annual cumulative precipitation (ACP) was increased toward low latitude. The temperature of Seomjin River increased more than twice in September ($21.7{\sim}24.5^{\circ}C$) after rainfall compared to May ($7.6{\sim}11.3^{\circ}C$) before rainfall, and CP (cumulative precipitation) increased about 3 times before rainfall (263 mm~287.5 mm) and after rainfall (756.3 mm~882 mm). Due to washing effect by summer precipitation, total number of species and individuals for benthic macroinvertebrates were higher in May than in September. Chironomidae sp. and Choroterpes altioculus were dominated in May, Ecdyonurus levis, Macrostemum radiatum and Choroterpes altioculus were dominated in September. As a result of correlation analysis between community indices and environment factors, it was found that there is a high correlation with boulder and sand among substrate compositions. According to the results of cluster analysis based on temperature, CP and the dominant species of benthic macroinvertebrates in Seomjin River, it was divided into two groups following temperature and CP, and the dominant species and geographical position were reflected and divided into detailed groups.

Comparison and Analysis of Drought Index based on MODIS Satellite Images and ASOS Data for Gyeonggi-Do (경기도 지역에 대한 MODIS 위성영상 및 지점자료기반 가뭄지수의 비교·분석)

  • Yu-Jin, KANG;Hung-Soo, KIM;Dong-Hyun, KIM;Won-Joon, WANG;Han-Eul, LEE;Min-Ho, SEO;Yun-Jae, CHOUNG
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.1-18
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    • 2022
  • Currently, the Korea Meteorological Administration evaluates the meteorological drought by region using SPI6(standardized precipitation index 6), which is a 6-month cumulative precipitation standard. However, SPI is an index calculated only in consideration of precipitation at 69 weather stations, and the drought phenomenon that appears for complex reasons cannot be accurately determined. Therefore, the purpose of this study is to calculate and compare SPI considering only precipitation and SDCI (Scaled Drought Condition Index) considering precipitation, vegetation index, and temperature in Gyeonggi. In addition, the advantages and disadvantages of the station data-based drought index and the satellite image-based drought index were identified by using results calculated through the comparison of SPI and SDCI. MODIS(MODerate resolution Imaging Spectroradiometer) satellite image data, ASOS(Automated Synoptic Observing System) data, and kriging were used to calculate SDCI. For the duration of precipitation, SDCI1, SDCI3, and SDCI6 were calculated by applying 1-month, 3-month, and 6-month respectively to the 8 points in 2014. As a result of calculating the SDCI, unlike the SPI, drought patterns began to appear about 2-month ago, and drought by city and county in Gyeonggi was well revealed. Through this, it was found that the combination of satellite image data and station data increased efficiency in the pattern of drought index change, and increased the possibility of drought prediction in wet areas along with existing dry areas.

인공구조물에 의해 유도되는 지하수-하천수 시스템의 상호작용에 대한 예비 연구

  • O Jun-Ho;Seong Hyeon-Jeong;Kim Tae-Hui;Kim Yong-Je;Song Mu-Yeong
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2005.04a
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    • pp.408-411
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    • 2005
  • 현재 국내에서는 지하수 순환 특성에 대한 연구가 미약하며 그에 대한 연구가 요구 되고 있다. 본 연구에서는 지하수 순환을 중심으로 인공구조물에 의해 유도되는 지하수-하천수 시스템의 상호작용에 대하여 하천수의 수위/유량 변화와 주요 이온 변화에 따른 지하수의 변화를 모니터링을 통해 검토해 보았다. 연구결과 혼합대에 설치된 관측정에서 나타난 수위 및 주요 이온 변화에서 하천의 영향으로 인한 변화 패턴을 확인할 수 있었다. 추후 관측 자료가 누적되고 강수량, 하천수위, 지하수위, 지하수질, 하천수질 등에 대한 상호 상관성을 검토한다면 더 명확한 결과를 얻을 수 있을 것으로 본다.

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Radar Rainfall Estimation Using Window Probability Matching Method : 1. Establishment of Ze-R Relationship for Kwanak Mt, DWSR-88C at Summer, 1998 (WPMM 방법을 이용한 레이더 강수량 추정 : 1. 1998년 여름철 관악산 DWSR-88C를 위한 Ze-R 관계식 산출)

  • Kim, Hyo-Gyeong;Lee, Dong-In;Yu, Cheol-Hwan;Gwon, Won-Tae
    • Journal of Korea Water Resources Association
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    • v.35 no.1
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    • pp.25-36
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    • 2002
  • Window Probability Matching Method(WPMM) is achieved by matching identical probability density of rain intensities and radar reflectivities taken only from small window centered about the gage. The equation of $Z_{e}-R$ relationship is obtained and compared with data between a DWSR-88C radar and high density rain gage networks within 150km from radar site in summer season, 1998. The probability density of radar effective reflectivity is distributed with high frequency near 15dBZ. The frequency distribution of rain intensities shows that rain intensity is lower than 10mm/hr in most part of radar coverage area. As the result of $Z_{e}-R$ relationship using WPMM, curved line has shown to the log scale spatially and it can be explained more flexible than any straight-line power laws at the transformation to the rainfall amount from $Z_e$ value. During 3 months, total radar cumulative rainfall amount estimated by $Z=200R^{1.6}$ and WPMM relationships are 44 and 80 percentages of total raingage amount, respectively. Therefore, $Z_{e}-R$ relationships by WPMM may be widely needed a statistical method for the computation of accumulated precipitation.

Analysis of Influence on Galic Crops and Its Economical Value by Meteorological and Climatological Information (기상기후정보가 마늘 작물에 미치는 영향과 경제적 가치 분석)

  • Park, Seung Hye;Moon, Yun Seob;Jeong, Ok Jin;Kang, Woo Kyeong;Kim, Da Bin
    • Journal of the Korean earth science society
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    • v.39 no.5
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    • pp.419-435
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    • 2018
  • The purpose of this study is to understand meteorological and climatological factors that have influence on the garlic product in Seosan and Taean, and to analyze the economic value according to the use of climatical information data for garlic farmers. The climatological characteristics and trends in this area are analyzed using the meteorological data at the Seosan local meteorological agency from 1984 to 2013, the national statistical data for the product of garlic from 1989 to 2013, and the scenario data for climate change (RCP 4.5 and 8.5) for the period from 2001 to 2100. The results are as follows. First, the condition of lower temperature for garlic growth in winter season is satisfied with the mean air temperature. The wind speed are lower and stronger in Seosan and Taean than other garlic area. The suitable condition for the growth of northern type of garlic shows the decreasing trend in the accumulated precipitation in May. However, the area of growing the northern type garlic in the future is likely diminished because mean air temperature, accumulated precipitation, and mean wind speed are strong in the harvest time of garlic. Second, the seedtime of the northern and southern type of garlic using climate change scenarios (RCP 4.5, 8.5) in Seosan and Taean is getting late as time passes. and the harvest time gets faster, which indicates s that the period of garlic cultivation becomes shorter from 50 days to around 90 in the next 100 years. Third, the beginning days of white rot and delia platura of garlic are estimated by applying to the meteorological algorithm using mean air temperature and soil humidity. Especially, the beginning day of white rot garlic is shown to be faster according to the scenarios of RCP 4.5 and RCP 8.5. Fourth, the product of garlic (kg/10a) shows a high correlation with the minimum air temperature of a wintering time, the mean wind speed of a wintering time, the accumulated precipitation of a corpulent time, and the mean relative humidity of corpulent time of garlic. On the other hand, the analysis of garlic product when using the meteorological information data in cultivating garlic in Seosan and Taean reveals that the economic value increases up to 9% in total.

Application of Artificial Neural Network to Improve Quantitative Precipitation Forecasts of Meso-scale Numerical Weather Prediction (중규모수치예보자료의 정량적 강수추정량 개선을 위한 인공신경망기법)

  • Kang, Boo-Sik;Lee, Bong-Ki
    • Journal of Korea Water Resources Association
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    • v.44 no.2
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    • pp.97-107
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    • 2011
  • For the purpose of enhancing usability of NWP (Numerical Weather Prediction), the quantitative precipitation prediction scheme was suggested. In this research, precipitation by leading time was predicted using 3-hour rainfall accumulation by meso-scale numerical weather model and AWS (Automatic Weather Station), precipitation water and relative humidity observed by atmospheric sounding station, probability of rainfall occurrence by leading time in June and July, 2001 and August, 2002. Considering the nonlinear process of ranfall producing mechanism, the ANN (Artificial Neural Network) that is useful in nonlinear fitting between rainfall and the other atmospheric variables. The feedforward multi-layer perceptron was used for neural network structure, and the nonlinear bipolaractivation function was used for neural network training for converting negative rainfall into no rain value. The ANN simulated rainfall was validated by leading time using Nash-Sutcliffe Coefficient of Efficiency (COE) and Coefficient of Correlation (CORR). As a result, the 3 hour rainfall accumulation basis shows that the COE of the areal mean of the Korean peninsula was improved from -0.04 to 0.31 for the 12 hr leading time, -0.04 to 0.38 for the 24 hr leading time, -0.03 to 0.33 for the 36 hr leading time, and -0.05 to 0.27 for the 48 hr leading time.

Characteristics of Meteorological and Marine Environments for the Red Tide Occurrence of Mid-South Sea in Korea (한국 남해중부해역의 적조발생에 관한 기상 및 해양환경 특성)

  • 윤홍주;김승철;박일흠
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.4
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    • pp.845-852
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    • 2003
  • This study deals with the relationship between the red tide occurrence and the meteorological and marine factors, the prediction of areas where the red tide is likely to occur based on the information, and the satellite monitoring for the red tide in mid-South Sea of Korea. From 1990 to 2001, the red tide was observed every year and the number of occurrences increased as well. The red tide mostly occurred in July, August, and September. The most important meteorological factor governing the mechanisms of the increase in the number of red tide occurrences is found to be a heavy precipitation. It was found that the favorable marine environmental conditions for the red tide formation are some of marine factors such as the warm water temperature, the low salinity, the high suspended solid, the low phosphorus, and the low nitrogen. The necessary conditions for the red tide occurrence are found to be the heavy precipitation (23.4-54.5 mm) for 2∼4 days, the warm temperature $(24.6∼25.9^{\circ}C)$, proper sunshine (2∼10.3 h), and light winds (2∼4.6 m/s & SW) for the day in red tide occurrence. It was possible to monitor the spatial distributions and concentration of the red tide using the satellite images. It was found that the likely areas for red tide occurrence in August 2000 were Yosu - Dolsan coast, Gamak bay, Namhae coast, Marado coast, Goheung coast, and Deukryang bay.

Characteristics of Meteorological and Marine Environments for the Red Tide Occurrence in Mid-South Sea of Korea (한국 남해중부해역의 적조발생에 관한 기상 및 해양환경 특성)

  • 윤홍주;김승철;박일흠
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.323-328
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    • 2003
  • This study deals with the relationship between the red tide occurrence and the meteorological and marine factors, the prediction of areas where the red tide is likely to occur based on the information, and the satellite monitoring for the red tide in mid-South Sea of Korea. From 1990 to 2001, the red tide was observed every year and the number of occurrences increased as well. The red tide mostly occurred in July, August, and September. The most important meteorological factor governing the mechanisms of the increase in the number of red tide occurrences is found to be a heavy precipitation. It was found that the favorable marine environmental conditions for the red tide formation are some of marine factors such as the warm water temperature, the low salinity, the high suspended solid, the low phosphorus, and the low nitrogen. The necessary conditions for the red tide occurrence are found to be the heavy precipitation (23.4∼54.5 mm) for 2∼4 days, the warm temperature (24.64-25.85 $^{\circ}C$), proper sunshine (2∼10.3 h), and light winds (2∼4.6 m/s & SW) for the day in red tide occurrence. It was possible to monitor the spatial distributions and concentration of the red tide using the satellite images. It was found from this study that the likely areas for red tide occurrence in August 2000 were Yosu ∼ Dolsan coast, Gamak bay, Namhae coast, Marado coast, Goheung coast, and Deukryang bay.

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