• 대한토목학회논문집
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• 제38권2호
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• pp.227-235
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• 2018

본 연구에서는 차량용 레인센서를 이용하여 고해상도의 강우관측을 위한 관계식을 개발하였다. 차량용 레인센서는 8개의 채널로 이루어져 있으며, 각 채널은 강우발생시 차량의 전면유리창에 내리는 우적량을 감지하여 센서시그널을 생성하는데, 강우량이 높을수록 센서시그널은 낮은 값으로 형성된다. 레인센서에서 생성되는 센서시그널의 이러한 특징을 이용하여 관계식을 개발하였다. 특정강우를 발생시키기 위하여 인공강우 발생장치를 제작하였으며, 인공강우발생장치에서 분사되는 강우량의 변화에 따른 센서시그널의 변화 값을 분석하였다. 이 중 민감도 분석을 통해 다양한 강우량을 잘 반영하는 최적의 센서 채널을 선정하였다. 선정된 채널을 이용하여 5분 단위 센서시그널를 생성하였고 생성된 5분 단위 센서시그널의 대표 값을 평균, 25분위, 50분위, 75분위로 설정하여 관계식을 구축하였다. 구축된 관계식을 이용하여 실강우 데이터에 적용하여 강우량 값을 환산하였고, 환산된 강우량은 지상강우관측소에서 관측된 강우량 값과의 비교를 통해 관계식의 신뢰도를 검증하였다. 검증결과 데이터의 이상치가 발견되어 관계식의 신뢰도는 다소 떨어졌지만, 해당 잔차 범위의 실험 데이터가 부족한 것으로 판단되었다. 개발된 관계식을 실강우에 적용시켜 강우량 값을 환산한 하였고, 신뢰도 검증을 위해 동시간에 관측된 지상강우 관측 장비에서 생성된 강우량 값과 비교를 하였고 관측 결과 레인센서는 0.5mm 이하의 미세한 강우량까지 측정하였고 평균 관측 오차는 0.36mm로 나타났다.

• Water Engineering Research
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• 제5권1호
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• pp.37-45
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• 2004

As one alternative to alleviate damages caused by stormwater runoff, the effects of runoff quantity reduction are analyzed when porous pavement is used. Porous pavements with various depths, general pavement and an artificial rainfall generator are installed for laboratory experiments. Runoff changes are analyzed according to the various rainfall durations. The rainfall intensity of 150 mm/hr is generated for 30 minutes, 60 minutes, and 120 minutes. For porous pavements with 80 cm thickness, 100%, 93%, 56% of discharge is infiltrated through soil, respectively. For porous pavements with 20 cm thickness, 81%, 32%, 28% of discharge is infiltrated through soil, respectively. It is found that the porous pavements are able to decrease the runoff.

• 한국농공학회논문집
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• 제52권5호
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• pp.1-9
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• 2010

Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is essential for estimating irrigation water requirements. In this study, artificial neural network (ANN) models for reference crop evapotranspiration ($ET_0$) estimation were developed on a monthly basis (May~October). The models were trained and tested for Suwon, Korea. Four climate factors, daily maximum temperature ($T_{max}$), daily minimum temperature ($T_{min}$), rainfall (R), and solar radiation (S) were used as the input parameters of the models. The target values of the models were calculated using Food and Agriculture Organization (FAO) Penman-Monteith equation. Future climate data were generated using LARS-WG (Long Ashton Research Station-Weather Generator), stochastic weather generator, based on HadCM3 (Hadley Centre Coupled Model, ver.3) A1B scenario. The evapotranspirations were 549.7 mm/yr in baseline period (1973-2008), 558.1 mm/yr in 2011-2030, 593.0 mm/yr in 2046-2065, and 641.1 mm/yr in 2080-2099. The results showed that the ANN models achieved good performances in estimating future reference crop evapotranspiration.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2013년도 춘계 학술논문 발표대회
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• pp.98-99
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• 2013

The amount of surface chlorides of architectural structure in incoming salt environment depends on the characteristics of distribution of incoming salt in atmosphere. Therefore, many researches are being conducted on deducting the correlation between incoming salt amount attached to the surface of real structure and that of atmosphere after quantitative measurement. However, in real environment, these studies are somewhat far fetched. That is because incoming salt in atmosphere are changed by various climatic conditions and in the case of the structures surface, attached incoming salt may be carried away due to the rainfall. Therefore, this study aims to draw an improved proportional relation between the amount of sodium chloride in atmosphere and that attached to the surface of architectural structures by measuring the amount attached to each architectural material using artificial incoming salt generator that can control various climatic variables that can be caused in real environment.