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J. Korean Soc. Hazard Mitig. > Volume 19(7); 2019 > Article
Journal of the Korean Society of Hazard Mitigation 2019;19(7):125-133.
DOI: https://doi.org/10.9798/KOSHAM.2019.19.7.125    Published online December 31, 2019.
지자체 저수지 가뭄 예⋅경보를 위한 저가형 AWS 구축 및 평가
최정렬1, 김병식2, 윤현철3, 원창희4
1정회원, ㈜SDM ENC 기술연구소 과장
2정회원, 국립강원대학교 도시환경재난관리전공 교수
3정회원, 국립재난안전연구원 시설연구사
4정회원, 국립재난안전연구원 선임연구원
A Study of the Establishment and Assessment of Low-cost AWS for Reservoir Drought Forecasting and Warning System of the Local Government
Jung-Ryel Choi1, Byung-Sik Kim2, Hyeon-Cheol Yoon3, Chang-Hee Won4
1Member, Research Engineer, R&D Dept., SDM ENC Co., Ltd.
2Member, Professor, Dep. of Urban & Environmental Disaster Prevention Engineering, Kangwon National University
3Member, Researcher, Disaster Prevention Research Div., National Disaster Management Research Institute
4Member, Senior Researcher, Disaster Prevention Research Div., National Disaster Management Research Institute
Corresponding author:  Byung-Sik Kim, Tel: +82-33-570-6819, Fax: +82-33-570-6501, 
Email: hydrokbs@kangwon.ac.kr
Received: 15 April 2019   • Revised: 19 April 2019   • Accepted: 4 November 2019
Drought forecasting and warning is conducted by the Korean government for 167 cities and counties. The necessary rainfall data is required for coping with droughts in rural areas. In these areas, water is supplied from small reservoirs managed by the respective local governments located in regions such as islands and mountainous areas. The Automatic Weather Stations (AWSs) controlled by the Korea Meteorological Administration (KMA) were found to be expensive for installing and maintaining small reservoirs managed by the local governments. In this study, we investigated low-cost and high-efficiency AWSs, and the best AWS was selected through expert consultation and installed near the KMA center located at Samcheok (AWS 867). The results from the analysis of the error range of rainfall using the low-cost AWS were compared with the measured values of true rainfall. Hence, accuracy and error ranges were determined for all the products. Considering the results of the product prices and the test result accuracies, their applicability was suggested through the relative evaluation of each device.
Key Words: Low-cost, AWS, Rainfall, Drought, Forecasting and Warning
현재 정부에서 시행하고 있는 가뭄 예⋅경보는 167개 시군을 대상으로 이루어지고 있으며, 지자체 관리 소형 저수지가 주공급원인 도서⋅산간지역 및 내륙 오지 등 농촌 지역의 가뭄 대응을 위해서는 보다 조밀한 공간 범위의 강수량 자료가 필요하다. 기상청 등에서 사용하고 있는 자동기상관측장비(Automatic Weather Station, AWS)를 조사해본 결과 고가의 설치비 및 유지관리 비용으로 인해 지자체 관리 저수지에 설치시 경제적 한계점이 도출되었다. 이에 본 연구에서는 국내외에서 상업적으로 사용되고 있는 저비용 고효율의 저가형 AWS를 조사하였으며, 전문가 자문을 통해 최적의 AWS 4기를 선정, 삼척 기상대(AWS 867) 부근에 설치하였다. 최종적으로 AWS 867에서 측정된 강수량 값을 참값으로 저가형 AWS 4기의 강수량 값의 정확성 및 오차 범위 등을 정량적으로 분석하였으며, 각 기기별 상대평가를 통해 활용 가능성을 제시하였다.
핵심용어: 저가형, AWS (Automatic Weather Station), 강수, 가뭄, 예⋅경보


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