• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.334-334
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• 2022

Improvement of old-fashioned rain gauge systems for automatic, timely, continuous, and accurate precipitation observation is highly essential for weather/climate prediction and natural hazards early warning, since the occurrence frequency and intensity of heavy and extreme precipitation events (especially floods) are recently getting more increase and severe worldwide due to climate change. Although rain gauge accuracy of 0.1 mm is recommended by the World Meteorological Organization (WMO), the traditional rain gauges in both weighting and tipping bucket types are often unable to meet that demand due to several existing technical limitations together with higher production and maintenance costs. Therefore, we aim to introduce a newly developed and cost-effective hybrid rain gauge system at 0.1 mm accuracy that combines advantages of weighting and tipping bucket types for continuous, automatic, and accurate precipitation observation, where the errors from long-term load cells and external environmental sources (e.g., winds) can be removed via an automatic drainage system and artificial intelligence-based data quality control procedure. Our rain gauge system consists of an instrument unit for measuring precipitation, a communication unit for transmitting and receiving measured precipitation signals, and a database unit for storing, processing, and analyzing precipitation data. This newly developed rain gauge was designed according to the weather instrument criteria, where precipitation amounts filled into the tipping bucket are measured considering the receiver's diameter, the maximum measurement of precipitation, drainage time, and the conductivity marking. Moreover, it is also designed to transmit the measured precipitation data stored in the PCB through RS232, RS485, and TCP/IP, together with connecting to the data logger to enable data collection and analysis based on user needs. Preliminary results from a comparison with an existing 1.0-mm tipping bucket rain gauge indicated that our developed rain gauge has an excellent performance in continuous precipitation observation with higher measurement accuracy, more correct precipitation days observed (120 days), and a lower error of roughly 27 mm occurred during the measurement period.

• 환경위생공학
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• 제19권2호
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• pp.45-50
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• 2004

To investigate the epilithic diatom community and water quality of the Osan stream, water samples were collected from the eight stations from April to September 2003. Sampling was two times before and after heavy rain. Total 52 diatom were identified and divided into 12 saproxenosus taxa, 6 saprophilous taxa and 34 indifferent taxa, respectively. The DAIpo values higher after heavy rain than before that. According to tolerance degree to the organic water pollution, all sampling stations ranged from $\alpha$-oligosaprobic to $\alpha$-mesosaprobic. Thus, the result indicates that the water quality of Osan stream is gradually improved by heavy rain.

• 통합자연과학논문집
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• 제4권3호
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• pp.229-237
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• 2011

Today they use a weather radar with spatially high resolution in predicting rainfall intensity and utilizing the information for super short-range forecast in order to make predictions of such severe meteorological phenomena as heavy rainfall and snow. For a weather radar, they use the Z-R relation between the reflectivity factor(Z) and rainfall intensity(R) by rainfall particles in the atmosphere in order to estimate intensity. Most used among the various Z-R relation is $Z=200R^{1.6}$ applied to stratiform rain. It's also used to estimate basic rainfall intensity of a weather radar run by the weather center. This study set out to compare rainfall intensity between the reflectivity of a weather radar and the ground rainfall of ASOS(Automatic Surface Observation System) by analyzing many different cases of heavy rain, analyze the errors of different weather radars and identify their problems, and investigate their applicability to nowcasting in case of severe weather.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2002년도 학술발표회 논문집(II)
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• pp.1161-1166
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• 2002

• 한국대기환경학회지
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• 제15권1호
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• pp.1-11
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• 1999

In this work, a theoretical model has been formulated which allows the study of the scavenging efficiencies of aerosol particles by the rain drops. Aerosol particles are scavenged by the simultaneous brownian diffusion, interception and inertial impaction force. In addition the calculations based on the collision efficiency model are carried out for the collision of aerosol particles with diameter range 0.01~30 $mu extrm{m}$ and rain drops with diameter 0.02$\times$$2^{n/3}$(n=1, 2, …, 17)cm. The results indicate that: (1) the below-cloud scavenging affects mainly the coarse particles (＞3 ${\mu}{\textrm}{m}$), the fine particles remaining almost unchanged; (2) the scavenging efficiencies by below-cloud in the heavy rain (rain intensity, 10 mm/hr) surpass the efficiency found in the drizzle rain (rain intensity, 1 mm/hr).

• Journal of Ecology and Environment
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• 제32권3호
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• pp.197-206
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• 2009

Benthic macroinvertebrate communities were collected from six different sites in the Dobong Stream in Seoul, Korea to investigate spatial and temporal changes in benthic macroinvertebrate communities in response to natural disturbances such as floods and droughts. We collected samples monthly or semimonthly with a Surber net ($30cm{\times}30cm$), and measured environmental factors, including stream temperature, discharge, width, conductivity, dissolved oxygen and pH at each sampling site. Benthic macro invertebrates were strongly affected by floods as well as droughts. In addition, benthic macroinvertebrate communities displayed different responses to the onset of the rainy season in summer 2006 and 2007, apparently due to differences in the intensity and amount of precipitation. Chironomids were particularly sensitive to heavy rain. Floods and droughts also affected the proportions of functional feeding groups during the survey period: the proportion of scrapers was high right after heavy rains, while the proportion of predators tended to increase in intermittent-type streams as the riffle zone decreased. Finally, although species richness and abundance were strongly influenced by heavy rain, they recovered to background levels for within one month, and varied consistently among stream types, indicating habitat stability.

• 한국환경과학회지
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• 제14권6호
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• pp.621-627
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• 2005

It is analysised the causes and extent of damage of natural disasters through the investigating of natural disaster states occurred in Gyeongsangnam-do. The data for this study were based on disaster annual report between 1987 and 2003. Especially, the data between 1993 and 2003 were used for the analysis in Gyeongsangnam-do area. A typhoon and a heavy rain were the major causes of the natural disasters in Gyeongsangnam-do. For all that the extent of damage by a heavy rain was twice as much as that of a typhoon, Gyongsangnam-do suffered heavy damage from a typhoon. So, special attentions should be paid to establish prevention plans for that in this area. Also, half of the natural disasters were occurred between July and August, the intensive prevention plans for the summer season are needed.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2020년도 추계학술대회
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• pp.113-117
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• 2020

Images were taken under various weather such as rain, haze, snow often show low visibility, which can dramatically decrease accuracy of some tasks in computer vision: object detection, segmentation. Besides, previous work to enhance image usually downsample the image to receive consistency features but have not yet good upsample algorithm to recover original size. So, in this research, we jointly implement removal streak in heavy rain image and super resolution using a deep network. We put forth a 2-stage network: a multi-model network followed by a refinement network. The first stage using rain formula in the single image and two operation layers (addition, multiplication) removes rain streak and noise to get clean image in low resolution. The second stage uses refinement network to recover damaged background information as well as upsample, and receive high resolution image. Our method improves visual quality image, gains accuracy in human action recognition task in datasets. Extensive experiments show that our network outperforms the state of the art (SoTA) methods.

• 한국지구과학회지
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• 제35권2호
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• pp.115-130
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• 2014

우리나라에서 악기상으로 인한 재해 유발 가능성이 높아짐으로써, 방재 및 수자원 관리 대책이 필요하다. 국지성 강한 강우에 대한 방재를 위해서는 강우량을 정량적으로 관측 및 예측해야 한다. 본 연구에서는 레이더 강우추정 오차의 지구통계학적 유효반경을 LGC 방법에 적용하여 레이더 추정강우를 조정하는 기법을 개발하였다. 지구통계적 방법을 이용하여 레이더 강우의 실제오차에 대한 유효반경을 결정하였고, LGC 방법을 기반으로 여름철 집중호우 네 사례의 레이더 강우를 조정하였다. 여름철 집중호우 사례의 레이더 1시간 누적강우량과 총누적강우량의 오차는 조정 후 각각 약 40%와 60% 이상 개선효과를 보였다. 그러므로, 여름철 국지적으로 강한 강우 현상의 레이더강우를 예측하는데 있어서 본 연구에서 개발된 조정 알고리즘을 이용하는 것은 적절한 것으로 판단된다.

• 한국습지학회지
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• 제17권1호
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• pp.38-44
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• 2015

대부분의 강우가 여름철에 집중되는 국내 강우 특성은 여름철 집중호우에 따른 비점 오염물질의 수계로의 과대 유입에 대한 우려를 높이고 있다. 국내 수계로의 오염원 유입특성이 대부분 비점오염원 형태인 것을 감안한다면 강우가 오염물질의 거동에 미치는 영향이 매우 크다고 할 수 있다. 특히 초기 우수의 경우 상당한 영양소와 중금속에 오염되어 있는 것으로 알려져 있기 때문에 이를 적절히 처리함과 동시에 재이용하기 위한 다양한 연구가 필요하다. 이를 해결하기 위한 다양한 시설 중 빗물정원은 빗물양과 수질의 조절이 가능한 친환경적이며 효과적인 방안이다. 본 연구에서는 빗물정원에 효과적으로 적용 가능한 자연형 흡착여재를 개발하고 이를 적용하여 빗물이 빗물정원을 통과한 이후 유출수의 영양소 및 유기물(TN, TP, CODcr), 중금속 제거(Cu, Cd, Pb) 효율을 검토하였다. 이를 위하여 자연형 흡착여재인 피트모스를 탄화시켜 오염물질 별 제거 흡착능을 살펴보았으며, 이를 이용한 삼단의 계단식 여재 시설을 구성하여 영양소 및 중금속 제거 변화 양상을 살펴보았다. 연구결과 피트모스는 더 높은 온도에서 탄화시켰을 경우 흡착능이 우수하였으며, 피흡착제의 농도가 낮을수록 흡착이 잘 되는 것으로 나타났다. 5개의 빗물정원에서의 인공강우 오염물질 제거효율을 분석한 결과, T-N, T-P, CODcr 모두 피트모스를 사용한 반응조가 제거율이 가장 높은 것으로 나타났다. 따라서 앞으로 빗물정원을 구성하는데 있어 피트모스를 탄화한 여재를 이용한다면 보다 효과적인 오염물질 저감효과를 얻을 수 있을 것이라 판단된다.