• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.53-62
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• 2015

The water vapor including latent heat is the important component in an atmospheric circulation and in a monitoring of the Earth's climate changes, as well as in the weather forecast improvement. In this study, to establish the Algerian weighted mean temperature model, a linear regression method had been developed under 5 radiosonde observations for a total 24,694 profiles from 2004 to 2013. An weighted mean temperature is a key parameter in the processing of PWV from GNSS tropospheric delays. The result from the study has expected to provide an useful model to demonstrate the realization and utility of using the ground-based GNSS meteorology technique that will bring improvements in weather forecasting, climate monitoring in Algeria.

• Water for future
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• v.25 no.4
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• pp.51-59
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• 1992

Recently the pysically based precipitation model was developed by Geogakakos and Bras(1984) for the storm event. This is a modified version of the model. In a different way from the model, in this paper, it is emphasized that the hyderometeor size distribution(HSD)is subject to rainfall intensity and effects on the productivity of precipitation. The to HSD functions are applied to the equation of the outflow after mass through the cloud top and base, products of rainfall rate at the ground level, storage of cloud layer. As an input we put the meterological data observed at Chonju in Korea in our models and adjust the parameters included in it. The result show that in the model there is significant deviation between the hourly calculated rainfall rate and the observed data, while it is very small in the our model based on the two HSD.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.67-67
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• 2019

내성천은 경북 북부지역을 흐르는 모래하천으로 계절적 변동이 큰 수문학적 특성에 반응하여 발달하는 모래 하상의 역동성과 이른바 '화이트리버'라고 하는 경관상 고유성이 대표적인 하천이다. 하지만, 2010년부터 영주댐이 건설되기 시작하였고, 2015년 전후로 식생이 광범위하게 활착하는 등 하천 변화가 발생하였다. 본 연구에서는 이러한 변화를 객관적으로 분석하기 위해 영주댐 하류내성천을 대상으로 장기 모니터링을 실시하였으며 이 논문은 2012~2018년 기간에 대해 기상 수문 수질, 하도 형태, 하천 지형 및 식생 등 다각적인 측면의 조사 자료를 제공하는데 그 목적이 있다. 조사 방법으로는 자료 수집, 수위계 운영, 드론/지상 사진 촬영, LiDAR 항공측량, 현장 조사 등을 포함되었다. 장기 모니터링을 통해 발견한 주요한 사실들은 다음과 같다. 2015년은 1982년 다음으로 심한 가뭄이 발생하였으며 이로 인해 여름철 첨두유량은 50년래 최저를 기록하였다. 내성천 하도의 식생 활착은 1987년부터 시작되었으며, 2013년 이전에는 하류 구간에서, 그 이후로는 전체 구간에서 식생 활착이 발생하였다. 그 중 일부 지점은 홍수로 인해 재나지화 되었으나 여러구간은 목본이 활착하였고, 퇴적으로 인해 하도의 형태 변화가 발생하기도 하였다. 내성천은 모래 하상의 본질적 특성을 유지해 왔지만, 최근 약간의 조립화 경향이 나타났으며, 조사 단면에서 최심하상의 저하가 관찰되었다. 조사 결과를 종합하여 볼 때, 내성천에 나타난 변화는 주로 가뭄에 의한 것임을 확인하였다. 이와 함께 영주댐이 하도 변화에 미친 영향에 대해 고찰하였다.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.359-365
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• 2021

GEO-KOMPSAT-2A (GK2A) AMI (Advanced Meteorological Imager) Best Detector Select (BDS) map is pre-determined and uploaded before the satellite launch. After the launch, there is some possibility of a detector performance change driven by an abrupt temperature variation and thus the status of BDS map needs to be evaluated and updated if necessary. To investigate performance of entire elements of the detectors, AMI BDS analyses were conducted based on a technical note provided from the AMI vendor (L3HARRIS). The concept of the BDS analysis is to investigate the stability of signals from detectors while they are staring at targets (deep space and internal calibration target). For this purpose, Long Time Series (LTS) and Output Voltage vs. Bias Voltage (V-V) methods are used. The LTS for 30 secs and the V-V for two secs are spanned respectively for looking at the targets to compute noise components of detectors. To get the necessary data sets, these activities were conducted during the In-Orbit Test (IOT) period since a normal operation of AMI is stopped and special mission plans are commanded. With collected data sets during the GK2A IOT, AMI BDS map was intensively examined. It was found that about 1% of entire detector elements, which were evaluated at the ground test, showed characteristic changes and those degraded elements are replaced by alternative best ones. The stripping effects on AMI raw images due to the BDS problem were clearly removed when the new BDS map was applied.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.16-22
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• 2017

This study examined the status of resident evacuation sites notified to nearby communities, centered on business sites subject to the risk management plan of Incheon, Siheung, and Ansan. Through an analysis of the meteorological data, the direction of improvement of the site selection process for the safe evacuation of chemical accidents was studied. Among a total of 111 evacuation sites, 30 schools were selected the most, and 2-3 sites were usually selected for evacuation. As a result of an analysis of the Incheon meteorological data of 2016, the frequency of occurrences was 18.8525% in the NNE wind direction, 18.0328% in the NNW wind direction, 12.2951% in the WSW wind direction, 9.0164% in the SSE direction, 8.4700% in the SW direction, 6.5574% in the W direction, and 5.7376% in the S direction. The NNE wind direction showed the highest frequency, but the other winds showed a relatively high frequency, indicating that the annual wind direction was not biased toward one side.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2B
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• pp.177-185
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• 2008

Accurate monitoring of snow cover is a key component for studying climate and global as well as for daily weather forecasting and snowmelt runoff modelling. The few observed data related to snowmelt was the major cause of difficulty in extracting snowmelt factors such as snow cover area, snow depth and depletion curve. Remote sensing technology is very effective to observe a wide area. Although many researchers have used remote sensing for snow observation, there were a few discussions on the characteristics of spatial and temporal variation. Snow cover maps were derived from NOAA AVHRR images for the winter seasons from 1997 to 2006. Distributed snow depth was mapped by overlapping between snow cover maps and interpolated snowfall maps from 69 meteorological observation stations. Model parameters (Snow Cover Area: SCA, snow depth, Snow cover Depletion Curve: SDC) were built for 7 major watersheds in South Korea. The decrease pattern of SCA for time (day) was expressed as exponentially decay function, and the determination coefficient was ranged from 0.46 to 0.88. The SCA decreased 70% to 100% from the maximum SCA when 10 days passed.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.4
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• pp.102-114
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• 2017

The purpose of this study was the assessment of the accuracy of Global Precipitation Measurement (GPM) Integrated Multi-Satellite Retrievals for GPM (IMERG), a rainfall data source derived from satellite images, for evaluation of its applicability to use in ungauged or inaccessible areas. The study area was the overall area of the Korean peninsula divided into six regions. Automated Surface Observing System (ASOS) rainfall data from the Korean Meteorological Administration and IMERG satellite rainfall were used. Their average correlation coefficient was 0.46 for a 1-h temporal resolution, and it increased to 0.69 for a 24-h temporal resolution. The IMERG data quantitatively estimated less than the rainfall totals from ground gauges, and the bias decreased as the temporal resolution was decreased. The correlation coefficients of the two rainfall events, which had relatively greater rainfall amounts, were 0.68 and 0.69 for a 1-h temporal resolution. Additionally, the spatial distributions of the ASOS and IMERG data were similar to each other. The study results showed that the IMERG data were very useful in the assessment of the hydro-meteorological characteristics of ungauged or inaccessible areas. In a future study, verification of the accuracy of satellite-derived rainfall data will be performed by expanding the analysis periods and applying various statistical techniques.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.155-155
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• 2012

최근 집중호우에 따른 자연재해가 크게 증가하여 수문 및 기상분야에서 강우를 관측 및 예측하기 위한 레이더 활용성이 증대되고 있으며, 이에 따라 정부 각 관련부처에서는 레이더의 도입 및 확충을 위한 방안을 계획 제시하고 있다. 특히, 레이더강우 자료는 수문해석분야에서의 GIS 등 디지털정보를 이용하여 유역매개변수를 추정함에 따라 더 정확하고 상세한 수문자료 확보가 가능하게 되어, 격자기반의 분포형 강우-유출모형 등을 이용하여 수문해석을 하는데 있어 그 활용성이 크게 증가하고 있다. 그러나 레이더강우 자료의 정확성은 아직까지 만족할 만한 수준에 이르지 못하고 있기 때문에, 그 불확실성으로 인하여 레이더강우 자료의 활용 및 적용에 한계를 가지고 있는 실정이다. 본 연구에서는 지상강우를 이용한 레이더강우 보정을 위하여 SOA(Statistical Objective Analysis)보정방법을 이용하였으며, 기존 SOA방법에서의 거리에 따른 가중치($_{kd}$)와 함께 지형(고도)에 따른 가중치($W_{ike}$), 바람의 영향에 따른 가중치($W_{ikw}$)를 추가로 산정하여 적용하였으며, 이를 통하여 보정된 강우장을 생성하였다. SOA방법을 통해 생성된 강우장이 어느 정도의 강우정확도를 가지고 강우분포를 재현하는지 검증하기 위하여 2011년 7~9월의 수문학적 분석에 활용 가능한 강우사상과 낙동강유역을 대상으로, 분포형모형인 $Vflo^{TM}$ 모형을 이용하여 산정된 유출량과 관측 유출량과의 비교를 실시하였다. 또한, 유출량에 대한 오차 및 ME(Model Efficiency)를 통해 레이더강우 자료의 유출모형에서의 효율성을 검토하고자 하였다. 본 연구에서 수행된 보정 강우장에 따른 유출량 비교를 통해 레이더 강우의 정확도에 대한 정량적 평가 방법 도출이 가능할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.202-202
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• 2023

전 세계적으로 지구 온난화로 인해 발생한 가뭄은 사회적, 경제적, 환경적으로 막대한 피해를 야기하고 있다. 국내의 경우, 2022년부터 현재까지 지속되고 있는 가뭄 상황은 강수의 지역적 편차로 인해 남부 지역 중심으로 극심한 피해가 발생하였다. 남부 지역의 주요 용수공급원인 영산강, 섬진강권역의 용수 공급율은 예년의 57%(3.8억 톤)에 불과하며, 일부 도서·산간 지역은 용수공급이 제한되는 현상까지 발생하였다. 이러한 가뭄 피해를 대비하기 위해 초기에 모니터링을 통한 선제적 대응 방안을 구축해야 한다. 가뭄 모니터링의 경우 미계측 지역에 대한 모니터링 방법으로 주기적이고 균질한 자료를 제공 받을 수 있는 위성영상을 활용한 연구가 수행되고 있다. 가뭄을 정량적으로 분석하고 판단하기 위해 가뭄지수를 활용하고 있으며, 대표적인 가뭄지수는 지상 관측강수량자료를 활용한 확률분포 기반의 표준강수지수 (Standardized Precipitation Index, SPI)와 강수 및 기온의 변동성이 포함된 표준강수증발산지수 (Standardized Precipitation Evapotranspiration Index, SPEI)가 있으며, 위성영상 자료를 활용한 가뭄지수인 증발스트레스지수(Evaporative Stress Index, ESI) 등이 있다. 본 연구에서는 강수와 기온을 고려한 가뭄지수인SPEI와 위성영상 기반의 가뭄지수인 ESI를 활용하여 2022년 남부 지역의 가뭄 사상을 중심으로 지표별 시공간적 변화를 분석하고자 한다. SPEI의 경우 기상관측소 지점자료의 기온과 강수량을 활용하였으며, Terra 위성의 MODIS (Moderate Resolution Imaging Spectroradiometer) 센서에서 제공되는 위성영상자료를 활용한 ESI는 미계측 지역에 대한 가뭄 판단을 위해 시·군별로 세분화하여 산정하였다.

• Journal of the Korean earth science society
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• v.26 no.3
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• pp.283-296
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• 2005

The effect of ozone and surface temperature on the ozone band at $9.7{\mu}m$ has been investigated from radiative transfer theory together with observations in order to derive empirical methods for remotely sensing ground-ozone concentration. Simultaneous observations of satellite (MODIS Aqua; ECT 13:30) and ground-ozone at 79 stations have been used over the Seoul Metropolitan Area (SMA; 125.7-127.2 E, 37.2-37.7 N) during four ozone-warning days in the year 2003. Cloud effect on the band in the methods was filtered out based on synoptic observations. Upwelling radiance values at $9.6{\mu}m$ which have been estimated at the given ozone concentration of 327-391 DU depend on surface temperature (Ts) showing $5.52\~5.78Wm^{-2}sr^{-1}\;at\;Ts = 290 K,\;and\;9.00\~9.57Wm^{-2}sr^{-1}$ Ts = 325K. Thus, the partitioned contributions of ozone and temperature to intensity of ozone absorption band are $0.26Wm^{-1}sr^{-1}/64\;DU\;and\;0.31 Wm^{-2}sr^{-1}/35K$, respectively. Here the intensity which has been used to remotely detect ground-ozone concentration from infrared satellite measurement is defined as the difference in brightness temperature between $11{\mu} m\;and\;9.7{\mu}m (i.e.,\; T_{11-9.7})$. The methods in this study have been applied to estimate ground-ozone from MODIS data in cases that there are significant correlations between the band intensity and ground-ozone. The values of estimated ozone significantly correlate (0.49-0.63) with ground observations at a significance level of $1\%$. For the improved methods, further study may be required to use tropospheric ozone rather than ground-ozone, considering the variation stratospheric ozone.