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http://dx.doi.org/10.7319/kogsis.2016.24.4.021

Implementation of a Web-Based Early Warning System for Meteorological Hazards  

Kong, In Hak (Division of Earth Environmental System Science, Pukyong National University)
Kim, Hong Joong (Division of Earth Environmental System Science, Pukyong National University)
Oh, Jai Ho (Department of Environmental Atmospheric Sciences, Pukyong National University)
Lee, Yang Won (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.24, no.4, 2016 , pp. 21-28 More about this Journal
Abstract
Numeric weather prediction is important to prevent meteorological disasters such as heavy rain, heat wave, and cold wave. The Korea meteorological administration provides a realtime special weather report and the rural development administration demonstrates information about 2-day warning of agricultural disasters for farms in a few regions. To improve the early warning systems for meteorological hazards, a nation-wide high-resolution dataset for weather prediction should be combined with web-based GIS. This study aims to develop a web service prototype for early warning of meteorological hazards, which integrates web GIS technologies with a weather prediction database in a temporal resolution of 1 hour and a spatial resolution of 1 km. The spatially and temporally high-resolution dataset for meteorological hazards produced by downscaling of GME was serviced via a web GIS. In addition to the information about current status of meteorological hazards, the proposed system provides the hourly dong-level forecasting of meteorologic hazards for upcoming seven days, such as heavy rain, heat wave, and cold wave. This system can be utilized as an operational information service for municipal governments in Korea by achieving the future work to improve the accuracy of numeric weather predictions and the preprocessing time for raster and vector dataset.
Keywords
Web GIS; Meteorological Hazards; Early Warning; Visualization;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Ahn, S. H., Park, K. J., Kim, J. Y. and Kim, B. J., 2015, The characteristics of the frequency and damage for meteorological disasters in Korea, Journal of the Korean Society of Hazard Mitigation, Vol. 15, No. 2, pp. 133-144.   DOI
2 Fielding, R. and Taylor, R., 2002, Principled design of the modern web architecture, ACM Transactions on Internet Technology, Vol. 2, No. 2, pp. 115-150.   DOI
3 Garrett, J. J., 2005, Ajax: A new approach to web applications, Adaptive Path, http://adaptivepath.org/ideas/ajax-new-approach-web-applications/
4 Kim, J. Y., Kim, D. Y., Oh, J. H., Kim, S. H., Kim, H. G., Kang, Y. H., Kim, J. J. and Cho, C. H., 2015, Sensitivity evaluation of surface wind simulations by surface drag parameterization and spatial resolution using WRF model, Journal of the Wind Engineering Institute of Korea, Vol. 19, No. 3, pp. 77-83.
5 Kim, O. Y. and Oh, J. H., 2010, Verification of performance of the high resolution QPF model for heavy rainfall event over the Korean Peninsula, Asia-Pacific Journal of Atmospheric Sciences, Vol. 46, No. 2, pp. 119-133.   DOI
6 KMA, 2015, Meteorological disaster statistics, Korea Meteorological Administration, http://www.kma.go.kr/weather/lifenindustry/disaster_02.jsp
7 KMA, 2016, Meteorological data open portal, Korea Meteorological Administration, https://data.kma.go.kr/
8 Kraak, M. J., 2004, The role of the map in a Web-GIS environment, Journal of Geographical Systems, Vol. 6, No. 2 pp. 83-93.
9 Lee, Y. H. and Kim, H. S., 2014, A study on Ajax method RIA solution service configuration and using outlook, Journal of Korean Institute of Information Technology, Vol. 12, No. 2, pp. 189-195.
10 Lee, Y. S., Kim, Y. H. and Kim, U. M., 2015, Performance analysis on the data query operations of RDBMS, Proc. of Symposium of the Korean Institute of Communications and Information Sciences, The Korean Institute of Communications and Information Sciences, Seoul, Korea, pp. 370-371.
11 Li, W., Song, M., Zhou, B., Cao, K. and Gao, S., 2015, Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal, Computers, Environment and Urban Systems, Vol. 54, pp. 314-325.   DOI
12 Majewski, D., Liermann, D., Prohl, P., Ritter, B., Buchhold, M., Hanisch, T., Paul, G. and Wergen, W., 2002, The operational global icosahedral-hexagonal gridpoint model GME: Description and high-resolution tests, Monthly Weather Review, Vol. 130, pp. 319-338.   DOI
13 NOAA, 2016, Weather-ready nation, National Oceanic and Atmospheric Administration, http://www.weather.gov/
14 Oh, J. H. and Kim, O. Y., 2010, A Study on the direction of developing integrated information system of natural disaster for local governments disaster prevention measures, Korean Review of Crisis and Emergency Management, Vol. 6, No. 2, pp. 19-30.
15 Park, Y. M, Moon, A. K., Yoo, H. K., Jung, Y. C. and Kim S. K., 2010, SOAP-based web services vs. RESTful web services, Electronics and Telecommunications Trends, Vol. 25, No. 2, pp. 112-120.
16 RDA, 2016, Agrometeorological early warning system, Rural Development Administration, http://new.agmet.kr/