Development Methodology of Rainfall Information Using Optical Sensors - Applicability Test of Car Rain Sensors Using Observed Rainfall Data - (광학센서를 이용한 강우정보 생산기법 개발 - 관측강우를 이용한 차량용 레인센서 적용성 검토 -)

Lee Byung Hyun (이병현); Kim Byung Sik (김병식); Sung Jin Hwang (황성진)

doi:10.14251/crisisonomy.2020.16.11.105

Development Methodology of Rainfall Information Using Optical Sensors - Applicability Test of Car Rain Sensors Using Observed Rainfall Data -

Crisisonomy
Abbr : KRCEM
2020, 16(11), pp.105-113
DOI : 10.14251/crisisonomy.2020.16.11.105
Publisher : Crisis and Emergency Management: Theory and Praxis
Research Area : Social Science > Public Policy > Public Policy in general
Received : November 4, 2020
Accepted : November 23, 2020
Published : November 30, 2020

Lee Byung Hyun ¹, Kim Byung Sik ¹, Sung Jin Hwang ¹

¹강원대학교

Accredited

ABSTRACT

Due to climate change and various environmental factors, localized torrential rains and weather-related road accidents have been increasing around the world. The estimated precipitation of torrential rains is subtantially inaccurate in areas where the rainfall data are not directly observed but estimated based on neighboring observations. Much attention is focused on rainfall observation technologies such as radar and AWS, but these facilities are too expensive to install and therefore lack the spatial resolution. We developed a technology to produce rain information using sensor signal features generated from rain sensors for vehicles. The W-S-R relationship formula, which was developed to utilize rain sensor signals to obtain rain information, was applied to the average signal values for five minutes, but found inaccurate due to insufficient consideration of the wiper effects. To solve this problem, the rain information was generated by the method of using the difference between the values before and after wipers were operated on the rain sensor signal, and evaluated by comparing the ground rainfall with that from W-S-R method.

KEYWORDS

rain sensor, W-S-R relationship, road weather information, big data

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* References for papers published after 2023 are currently being built.

[journal] Habarlandt, U. / 2010 / Areal Rainfall Estimation Using Moving Cars as Rain Aauges : A Modelling Study / Hydrology and Earth System Sciences 14(7) : 1139~1151

[journal] Kim Byung Sik / 2016 / Development of Rainfall Information Manufacturing Technoly by Using Signal of a Vehicle Rainfall Sensor / Advanced Science and Technology Letters 141(27) : 133~138

[thesis] Kim, Dae Won. / 2002 / A Study on the Development of a Rain Gauge in Four Seasons / Master / University of Daegu Catholic

[thesis] Kim, Y. G. / 2018 / Development of the Relationship between Rainfall Strength and Rain Sensor for Vehicle / Master / Kangwon National University

[journal] 김영곤 / 2018 / Measurement of Rainfall using Sensor Signal Generated from Vehicle Rain Sensor / 대한토목학회논문집(국문) / 대한토목학회 38(2) : 227~236

[thesis] Kim, Young Gon. / 2018 / Development of Rainfall Intensity Calculation Equation Using Rain Sensor for Vehicle / Master / Kangwon National University

[other] Korea Meteorological Administration. / 2013 / Weather Radar Center

[thesis] Kwon, Bo Ra. / 2019 / Study on the Development of the Rainfall Estimation Technique Using Big Data Based Automotive Rain Sensor Signal: Development of New W-S-R Relation and Verification-l. / Master / Kangwon National University

[journal] 이충대 / 2018 / Comparison and Analysis of Observation Data of Rainfall Sensor for Vehicle and Rainfall Station / 대한토목학회논문집(국문) / 대한토목학회 38(6) : 783~791

[journal] 이석호 / 2017 / Development of relationship equation for vehicle sensor signal and observed rainfall / 한국수자원학회 논문집 / 한국수자원학회 50(1) : 29~35

[thesis] Woo, Duk Mo. / 2001 / A Study on the Characteristics by the Rainfall Intensity of the Tipping-bucket Rain Gauge / Master / Seoul National University of Industry

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Crisisonomy 2023 KCI Impact Factor : 0.64

Development Methodology of Rainfall Information Using Optical Sensors - Applicability Test of Car Rain Sensors Using Observed Rainfall Data -

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Citation status

* References for papers published after 2023 are currently being built.

Crisisonomy 2023 KCI Impact Factor : 0.64

Development Methodology of Rainfall Information Using Optical Sensors - Applicability Test of Car Rain Sensors Using Observed Rainfall Data -

ABSTRACT

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* References for papers published after 2023 are currently being built.