• Journal of Industrial Technology
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• v.20 no.B
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• pp.183-188
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• 2000

In this paper, we present a development of automatic fog water collector that operates during fog events. This collector consists of fraction collectors, a wind hall and a fog sensor. When a fog event is begin, then the fog sensor would judge whether it is a fog or not. If a fog is detected, the fog would be gathered by air suction fans, At the same time, the wind direction, the wind velocity, the atmospheric temperature and pressure would be measured and record simultaneously. We are also developing a wireless communication system for the remote control and data analysis to collect, store and process data collected in the automatic fog water collector.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.385-385
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• 2000

In this paper, We presents the development of an automatic fog water collector that operates during fog events. This collector consists of fraction collectors, a wind hall and a fog sensor. If a fog event occurred, then the fog sensor wouldjudge whether it is a fog or not. If the fog sensor judged the fug, then the fog in the air would be rucked by suction fans. At the same time, the wind direction, the wind velocity, the atmospheric temperature and the atmospheric pressure would be measured and recorded. We are also developing a wireless communication system for the remote control and the remote data analysis in order to collect, store and process the data collected in the automatic fog water collector.

• Asian Journal of Atmospheric Environment
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• v.7 no.1
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• pp.17-24
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• 2013

Fog deposition onto the cool-temperate deciduous forest around Lake Mashu in northern Japan was estimated by the inferential method using the parameterizations of deposition velocity and liquid water content of fog (LWC). Two parameterizations of fog deposition velocity derived from field experiments in Europe and numerical simulations using a detailed multi-layer atmosphere-vegetation-soil model were tested. The empirical function between horizontal visibility (VIS) and LWC was applied to produce hourly LWC as an input data for the inferential method. Weekly mean LWC computed from VIS had a good correlation with LWC sampled by an active string-fog collector. By considering the enhancement of fog deposition due to the edge effect, fog deposition calculated by the inferential method using two parameterizations of deposition velocity agreed with that computed from throughfall data. The results indicated that the inferential method using the current parameterizations of deposition velocity and LWC can provide a rough estimation of water input due to fog deposition onto cool-temperature deciduous forests. Limitations of current parameterizations of deposition velocity related to wind speed, evaporation loss of rain and fog droplets intercepted by tree canopies, and leaf area index were discussed.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2402-2404
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• 2001

산성안개에 의한 환경 오염이 점차 증가하면서, 산성 안개에 대한 관심이 증대되고있다. 이러한 안개는 늦은 밤이나 새벽에 빈번하게 발생하므로 안개가 발생하고, 걷힐 때마다 사람이 일일이 수집하고 측정하는 것은 비효율적인 작업이다. 본 연구에서는 장기간의 실제 환경실험을 통하여 안개와 비를 구별하는 최적의 안개인식센서모듈을 개발하였으며 또한 마이크로 프로세서와 무선송수신모듈 이용하여 안개의 발생과 소멸을 자동으로 인식하고 수집된 데이터를 원격으로 컴퓨터와 연결하여 자동으로 안개채취에 관련된 자료들을 저장할 수 있도록 개발하였다. 본 연구의 결과로 특히 최근 문제시되고 있는 산성 안개의 데이터 수집이 용이해 지고, 주로 산악지역에서 많이 발생하는 안개를 원격지에서 측정이 가능해져 환경영향평가분야의 실제작업에 보다 편리함과 정확성을 제공할 것으로 기대된다.