Optimizing watchtower locations for forest fire monitoring using location models

Fire Safety Journal

Volumn 71, Issue , 2015, Pages 100-109

  Bao, Shitai ^a   Xiao, Ningchuan ^b   Lai, Zehui ^a   Zhang, Heyuan ^c   Kim, Changjoo ^d  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^b OHIO STATE UNIVERSITY   (United States)

^c Bureau of City Engineering and Gardening of Guangzhou Municipality   (China)

^d UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Forest fire monitoring; Multiobjective optimization; Set covering problem; Viewshed analysis; Watchtower location optimization

Indexed keywords

BUDGET CONTROL; COSTS; DEFORESTATION; FIRE ALARM SYSTEMS; FIRE HAZARDS; FIRES; GENETIC ALGORITHMS; INTEGER PROGRAMMING; LOCATION; VIDEO CAMERAS;

FOREST FIRE MONITORING; FOREST FIRE MONITORING SYSTEMS; FOREST FIRES; LOCATION MODELING; LOCATION OPTIMIZATION; MULTI-OBJECTIVES OPTIMIZATION; NIGHT-VISION CAMERAS; SET COVERING PROBLEM; VIEWSHED ANALYSIS; WATCHTOWER LOCATION OPTIMIZATION;

MULTIOBJECTIVE OPTIMIZATION;

CAMERAS; FOREST FIRES; MODELS; MONITORING; OPTIMIZATION; PROBLEM SOLVING;

EID: 84915757932     PISSN: 03797112     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.firesaf.2014.11.016     Document Type: Article

References (37)

1. J. Cotter Forest Fires: Influences of Climate Change and Human Activity, 2009 Greenpeace Research Laboratories Technical Note Exeter, UK
2. S.H. Julius, and J.M. West Preliminary Review of Adaptation Options for Climate-Sensitive Ecosystems and Resources 2008 A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research
3. Chinese State Forestry Administration, Annual Report of Chinese Forestry development in 2013, 〈 http://www.forestry.gov.cn/main/62/content-699165.html〉 (in Chinese, accessed 05.10.14).
4. J.L. Casanova, A. Calle, A. Romo, et al., Forest fire detection and monitoring by means of an integrated MODIS-MSG system, in: Proceedings of the 2004 Symposium of Satellite-based fire monitoring network in Northern Eurasia: Methods, Data Products, Applications, Moscow, Russia, 2004.
5. A. Xu, L. Tang, and Z. Chen Distribution of forest fire prevention resources based on GIS, remote sensing of the environment: 16th national symposium on remote sensing of China, 2008, China Proc. SPIE - Int. Soc. Opt. Eng. 2008
6. F.C. Rego, and F.X. Catry Modeling the effects of distance on the probability of fire detection from lookouts Int. J. Wildland Fire 15 2006 197 202
7. S. Matthews, A. Sullivan, and J. Gould Field evaluation of two image-based wildland fire detection systems Fire Saf. J. 47 2012 54 61
8. M. Hefeeda, M. Bagheri, Wireless Sensor Networks for Early Detection of Forest Fires, 2007 Mobile ad hoc and Sensor Systems of IEEE International Conference, Pisa, 2007.
9. Guangzhou Administration of Forestry and Municipality Garden, Construction project of park social security and key forest zone video monitoring system in Guangzhou City, 2013, 〈 http://www.gz.gov.cn/publicfiles/business/htmlfiles/GZ05/8.4/201312/2569681.html〉 (in Chinese, accessed 04.10.14).
10. J.S.E. Chuvieco Mapping the spatial distribution of forest fire danger using GIS Int. J. Geogr. Inf. Sci. 10 1996 333 345
11. M.A. Badri, A.K. Mortagy, and C.A. Alsayed A multi-objective model for locating fire stations Eur. J. Oper. Res. 110 1998 243 260
12. A.T. Murray Optimising the spatial location of urban fire stations Fire Saf. J. 62 2013 64 71
13. A.T. Murray, K. Kim, and J.W. Davis Coverage optimization to support security monitoring Comput. Environ. Urban Syst. 31 2007 133 147
14. J. Lubczonek Application of GIS techniques in VTS radar stations planning, 2008 2008 International Radar Symposium Wroclaw, Poland
15. J. Lubczonek, Aspects of spatial location of permanent GPS antennas by using visibility analysis, 2009 European Radar Conference by IEEE, Rome, Italy, Curran Associates, Inc., 2009.
16. H.A. Sander, and S.M. Manson Heights and locations of artificial structures in viewshed calculation: how close is close enough? Landscape Urban Plan. 82 2007 257 270
17. Y.H. Kim, S. Rana, and S. Wise Exploring multiple viewshed analysis using terrain features and optimisation techniques Comput. Geosci. UK 30 2004 1019 1032
18. C. Revelle Review, extension and prediction in emergency service siting models Eur. J. Oper. Res. 40 1989 58 69
19. R. Church, and C. Revelle The maximal covering locational problem Pap. Reg. Sci. Assoc. 32 1974 101 118
20. R.Z. Farahani, N. Asgari, and N. Heidari Covering problems in facility location: a review Comput. Ind. Eng. 62 2012 368 407
21. M.F. Goodchild, and J. Lee Coverage problems and visibility regions on topographic surfaces Ann. Oper. Res. 18 1989 175 186
22. J. Lee Analyses of visibility sites on topographic surfaces, International Journal of Geographical Inf. Syst. 5 1991 413 429
23. M. Bagheri Efficient K-coverage algorithms of wireless sensor networks and their applications to early detection of forest fires 2007 Simon Fraser University BC, Canada (Master thesis)
24. B. Kaucic, and B. Zalik K-guarding of polyhedral terrain Int. J. Geogr. Inf. Sci. 18 2004 709 718
25. S. Bao, S. Liu, J. Yao, 3D locating system of observation tower with multiple constraints, in: Proceedings of the 2010 Photonics and Imaging for Agricultural Engineering, Proceedings of SPIE, Qingdao, China, 2010.
26. D. Schilling, D.J. Elzinga, and J. Cohon The TEAM/FLEET models for simultaneous facility and equipment siting Transp. Sci. 13 1979 163 175
27. ESRI, ArcGIS Desktop: Release 10, 2011.
28. H. Gourvest, W. Pattton, P. NoteBaert, Introduction to lp-solve 5.5.2.0, 2013, 〈http://lpsolve.sourceforge.net/5.5/〉 (accessed 04.10.14)
29. K. Deb Multi-Objective Optimization Using Evolutionary Algorithms 2001 John Wiley & Sons, Inc. New York, USA
30. F. Samanlioglu A multi-objective mathematical model for the industrial Hazardous waste location-routing problem Eur. J. Oper. Res. 226 2013 332 340
31. J.C. GarcíarPalomares, J. Gutiérrez, and M. Latorre Optimizing the location of stations in bike-sharing programs: a GIS approach Appl. Geogr. 35 2012 235 246
32. N. Xiao, D.A. Bennett, and M.P. Armstrong Interactive evolutionary approaches to multi-objective spatial decision making: a synthetic review Comput. Environ. Urban Syst. 31 2007 232 252
33. N. Liu, B. Huang, and X. Pan Using the ant algorithm to derive Pareto fronts for multi-objective siting of emergency service facilities J. Transp. Res. Board 2005 120 129
34. N. Xiao, D.A. Bennett, and M.P. Armstrong Using evolutionary algorithms to generate alternatives for multiobjective site-search problems Environ. Plan. A 34 2002 639 656
35. Math Works, Multiobjective Genetic Algorithm Options. In: Global Optimization Toolbox Documentation, 2012. 〈http://www.mathworks.com/help/gads/examples/multiobjective-genetic-algorithm-options.html〉 (accessed 14.10.14).
36. R.L. Church, and M.P. Scaparra Protecting critical assets: the r-interdiction median problem with fortification Geogr. Anal. 39 2 2007 129 146
37. M.P. Scaparra, and R.L. Church A bilevel mixed-integer program for critical infrastructure protection planning, Comput. Oper. Res. 35 6 2008 1905 1923. 6 2008 1905 1923