Top > JDR > The Construction of a Flood Monitoring System with Alert Distr ...

single-dr.php

JDR Vol.8 No.3 pp. 512-518
(2013)
doi: 10.20965/jdr.2013.p0512

Paper:

Views over last 60 days: 426

The Construction of a Flood Monitoring System with Alert Distribution Using Google Earth and 3D GIS

Yili Chan* and Masatoshi Mori**

*Graduate School of Advanced Technology, Kinki University, 11-6 Kayanomori, Iizuka City, Fukuoka 820-8555, Japan

**School of Humanity-Oriented Science and Engineering, Kinki University, 11-6 Kayanomori, Iizuka City, Fukuoka 820-8555, Japan

Received:
December 11, 2012
Accepted:
February 26, 2013
Published:
June 1, 2013
Creative Commons License
Keywords:
3D GIS, Google Earth, 2 m DSM, web-based flood monitoring system, GPS on mobile
Abstract
Locations of floods are not always known. Persons nearby for whom there is a possibility of danger due to flooding need information with which to predict flooding and to find refuge quickly and accurately. A Webbased Flood Monitoring System (FMS) using Google Earth and 3D GIS has been developed by employing Google Earth pro v. 6.0 and ArcGIS 10.0 (ESRI). The FMS provides a viewer for Windows PCs and smart phones. This viewer provides information consisting of digital elevation data from a 2 m Digital Surface Model (DSM) integrating 1:2500 digital topographic maps from the Geographical Survey Institute of Japan with official river information from the Ministry of Land, Infrastructure, Transport and Tourism of Japan and local river offices. It includes flood simulations and hazard maps from local governments. Users are able to download KML file data and/or Shape file data for private use. In addition, a reporting system for preregistered users who want immediate information has been prepared for alert and flood information.
Cite this article as:
Y. Chan and M. Mori, “The Construction of a Flood Monitoring System with Alert Distribution Using Google Earth and 3D GIS,” J. Disaster Res., Vol.8 No.3, pp. 512-518, 2013.
Data files:
References
  1. [1] White paper on Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Japan, 2007.
  2. [2] M. Ushiyama, “Characteristics of heavy rainfall disaster in the Kyushu district from July 19 to 21, 2003,” Journal of Japan Society for Natural Disaster Science, Vol.22, No.4, pp. 373-385, 2004.
  3. [3] M. Shige’eda, et al., “Analysis of behavior of over-land flow based on geophysical characteristics using geographic information system,” Committee on Hydroscience and Hydraulic Engineering, Vol.52, pp. 829-834, 2008.
  4. [4] http://www.google.co.jp/intl/ja/earth/index.html [accessed Dec. 21, 2012]
  5. [5] http://www.opengeospatial.org/standards/kml/ [accessed Dec. 21, 2012]
  6. [6] http://www.esrij.com/products/arcgis/ [accessed Dec. 21, 2012]
  7. [7] Ministry of International Affairs and Communications, Japan, “Ministry of International Affairs and Communications in Japan,” “White paper 2011 of Information and Communication in Japan,” Chapter 1, pp. 4-5, 2011.
  8. [8] PASCO Corporation, “Fukuoka,” 2003.
  9. [9] W. Brustsaert and M. Sugita, “Hydrology,” Cambridge university Press, 2005.
  10. [10] M. Sugita, et al., “Hydrologic Science,” Kyoritsu-pub, 2009.
  11. [11] http://www.gsi.go.jp/ [accessed Dec. 20, 2012]
  12. [12] C. Suetsgu, “Toshiiki ni okeru ryuiki-chisui no kangaekata,” Quarterly Kasen review, Shinkoronsha, Vol.128, pp. 30-34, 2004 (in Japanese).
  13. [13] S. K. Jenson and J. O. Dominique, “Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis,” Photogrammetric Engineering and Remote Sensing, Vol.54, No.11, pp. 15393-1600, 1988.
  14. [14] http://www.river.go.jp/ [accessed Dec. 22, 2012]
  15. [15] http://www.qsr.mlit.go.jp/onga/prevents/hazardmap/map.html [accessed Dec. 21, 2012]
  16. [16] T. Asaoka and K. Saitoh, “New generation’s one to one & CRM,” Gogatsu-Shobo, p. 280, Japan, 2010.
  17. [17] E. Gummesson, et al., “Total relation marketing (2nd Ed.),” Chuoukeizai-sha, Japan, 2007.
  18. [18] M. Chen, “Using GIS in emergency message delivery area selection,” NGIS Quarterly 82nd – Disaster prevention and rescue & GIS, pp. 29-37, Taiwan, 2012/.
  19. [19] K. V. Venkatachary, et al., “Defining a space-based disaster management, system for floods: A case study for damage, assessment due to 1998 Brahmaputra floods,” Research Articles Current Science, Vol.80, No.3, pp. 369-377, 2001.
  20. [20] T. Kinoshita, “Meteorological disaster in the encyclopedia of a disaster,” Asakura, pp. 100-106, 1995.
  21. [21] NPO Circle of Onga-gawa valley residents, “Onga-gawa,” Fujiki, pp. 174-197, Japan, 2006.
  22. [22] Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan, “Basic Act on the Advancement of Utilizing Geospatial Information,” pp. 1-10, 2007.
  23. [23] T. Imaizumi, et al., “Applying digital stereoscopic maps to geomorphological and geological interpretation,” Japan Geoscience Union Meeting 2012, HGM21-10, Chiba, 2012.
  24. [24] H. Guangwei, “Does Road Accelerate Flooding,” Japan society of hydrology and water resources, Vol.23, No.3, pp. 248-254, 2010.
  25. [25] P.-H. Hsu, “Construction and development of information system on disaster and its prevention,” National Applied Research Laboratories, 5th Issue, pp. 21-30, 2006.
  26. [26] W. Al-Sabhan, et al., “A real-time hydrological model for flood prediction using GIS and the WWW,” Computers, Environmental and Urban Systems, Vol.27, pp. 9-32, 2003.
  27. [27] Esri, ArcGIS for iOS 2.3.1, Build708, 2010.
  28. [28] Ministry of International Affairs and Communications, Japan, “White paper 2012 of Information and Communication in Japan,” Chapter 2, pp. 16-25, 2012.
  29. [29] D. P. Rao, “Disaster Management,” Natural Disaster management in Proceeding of Map India 2000, pp. 1-7, 2000.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 18, 2024