Dynamic Data Driven Ensemble for Wildfire Behaviour Assessment: A Case Study

IFIP Advances in Information and Communication Technology

Volumn 413, Issue , 2013, Pages 11-22

  Di Leo, Margherita ^a   de Rigo, Daniele ^a,b   Rodriguez Aseretto, Dario ^a   Bosco, Claudio ^c   Petroliagkis, Thomas ^a   Camia, Andrea ^a   San Miguel Ayanz, Jesús ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b POLITECNICO DI MILANO   (Italy)

^c LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

DDDAS; Forest fires; Integrated natural resources modelling and management; Semantic Array Programming; Wildfire behaviour

Indexed keywords

APPLICATION PROGRAMS; BEHAVIORAL RESEARCH; COMPUTER SYSTEMS PROGRAMMING; DEFORESTATION; FIRE HAZARDS; INFORMATION MANAGEMENT; NATURAL RESOURCES MANAGEMENT; SEMANTICS; UNCERTAINTY ANALYSIS;

ARRAY PROGRAMMING; DDDAS; DYNAMIC DATA DRIVEN APPLICATION SYSTEMS; ENSEMBLE APPLICATIONS; FOREST FIRE MANAGEMENT; FOREST FIRES; SOURCES OF UNCERTAINTY; WILDFIRE BEHAVIOUR;

FIRES;

DEFORESTATION; FOREST FIRES; MANAGEMENT; NATURAL RESOURCES; RESEARCH;

EID: 84884625647     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-41151-9_2     Document Type: Conference Paper

References (75)

1. San-Miguel-Ayanz, J., Schulte, E., Schmuck, G., Camia, A., Strobl, P., Liberta, G., et al.: Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS). In: Tiefenbacher, J. (ed.) Approaches to Managing Disaster-Assessing Hazards, Emergencies and Disaster Impacts, ch. 5. InTech (2012)
2. de Rigo, D.: Behind the horizon of reproducible integrated environmental modelling at European scale: Ethics and practice of scientific knowledge freedom. F1000 Research (submitted, 2013)
3. de Rigo, D.: Software Uncertainty in Integrated Environmental Modelling: The role of Semantics and Open Science. Geophys. Res. Abstr. 15, 13292 (2013)
4. de Rigo, D., Rodriguez-Aseretto, D., Bosco, C., Di Leo, M., San-Miguel-Ayanz, J.: An Architecture for Adaptive Robust Modelling of Wildfire Behaviour under Deep Uncertainty. In: Hřebíček, J., Schimak, G., Kubásek, M., Rizzoli, A. (eds.) ISESS 2013. IFIP AICT, vol. 413, pp. 367-380. Springer, Heidelberg (2013)
5. Richardson, L.A., Champ, P.A., Loomis, J.B.: The hidden cost of wildfires: Economic valuation of health effects of wildfire smoke exposure in southern California. J. For. Econ. 18(1), 14-35 (2012)
6. Herrando, S., Brotons, L., Llacuna, S.: Does fire increase the spatial heterogeneity of bird communities in Mediterranean landscapes? J. For. Econ. 145(2), 307-317 (2003)
7. Torre, I., Daz, M.: Small mammal abundance in Mediterranean post-fire habitats: A role for predators? Acta Oecologica 25(3), 137-142 (2004)
8. Di Piazza, G.V., Di Stefano, C., Ferro, V.: Modelling the effects of a bushfire on erosion in a mediterranean basin. Hydrol. Sci. J. 52(6), 1253-1270 (2007)
9. Moreira, F., Russo, D.: Modelling the impact of agricultural abandonment and wildfires on vertebrate diversity in Mediterranean Europe. Landsc. Ecol. 22(10), 1461-1476 (2007)
10. Acácio, V., Holmgren, M., Rego, F., Moreira, F., Mohren, G.M.J.: Are drought and wildfires turning Mediterranean cork oak forests into persistent shrublands? Agrofor. Syst. 76(2), 389-400 (2009)
11. Estreguil, C., Caudullo, G., de Rigo, D., Whitmore, C., San-Miguel-Ayanz, J.: Reporting on European forest fragmentation: Standardized indices and web map services. IEEE Earthzine 5(2), 384031 (2012); 2nd quarter theme: Forest Resource Information
12. Estreguil, C., Caudullo, G., de Rigo, D., San-Miguel-Ayanz, J.: Forest landscape in Europe: Pattern, fragmentation and connectivity. EUR Scientific and Technical Research 25717(JRC 77295) (2013)
13. Estreguil, C., de Rigo, D., Caudullo, G.: Towards an integrated and reproducible characterisation of habitat pattern. Environmental Model. & Software (submitted, 2013)
14. Bosco, C., de Rigo, D., Dijkstra, T., Sander, G., Wasowski, J.: Multi-Scale Robust Modelling of Landslide Susceptibility: Regional Rapid Assessment and Catchment Robust Fuzzy Ensemble. In: Hřebíček, J., Schimak, G., Kubásek, M., Rizzoli, A. (eds.) ISESS 2013. IFIP AICT, vol. 413, pp. 321-335. Springer, Heidelberg (2013)
15. de Rigo, D., Bosco, C.: Architecture of a Pan-European Framework for Integrated Soil Water Erosion Assessment. In: Hřebíček, J., Schimak, G., Denzer, R. (eds.) Environmental Software Systems. IFIP AICT, vol. 359, pp. 310-318. Springer, Heidelberg (2011)
16. Bosco, C., de Rigo, D., Dewitte, O., Poesen, J., Panagos, P.: Modelling Soil Erosion at European Scale. Towards Harmonization and Reproducibility (in prep.)
17. Shakesby, R., Doerr, S.: Wildfire as a hydrological and geomorphological agent. Earth Sci. Rev. 74(3-4), 269-307 (2006)
18. Ice, G.G., Neary, D.G., Adams, P.W.: Effects of wildfire on soils and watershed processes. J. Forestry 102(5), 16-20 (2004)
19. Moody, J.A., Martin, D.A., Haire, S.L., Kinner, D.A.: Linking runoff response to burn severity after a wildfire. Hydrol. Proces. 22(13), 2063-2074 (2008)
20. Candela, A., Aronica, G., Santoro, M.: Effects of forest fires on flood frequency curves in a Mediterranean catchment. J. Hydrol. Sci. 50(2), 193-206 (2005)
21. Rulli, M.C., Rosso, R.: Hydrologic response of upland catchments to wildfires. Adv. Water Resour. 30(10), 2072-2086 (2007)
22. Smith, H.G., Sheridan, G.J., Lane, P.N.J., Nyman, P., Haydon, S.: Wildfire effects on water quality in forest catchments: a review with implications for water supply. J. Hydrol. 396(1-2), 170-192 (2011)
23. de Rigo, D.: Integrated Natural Resources Modelling and Management: minimal redefinition of a known challenge for environmental modelling. Excerpt from the Call for a shared research agenda toward scientific knowledge freedom, Maieutike Research Initiative
24. de Rigo, D.: Semantic Array Programming for Environmental Modelling: Application of the Mastrave Library. In: Int. Congress on Environmental Modelling and Software. Managing Resources of a Limited Plant, Pathways and Visions under Uncertainty, Sixth Biennial Meeting, pp. 1167-1176 (2012)
25. de Rigo, D.: Semantic array programming with Mastrave-introduction to semantic computational modelling (2012)
26. Darema, F.: Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 662-669. Springer, Heidelberg (2004)
27. Denham, M., Cortés, A., Margalef, T., Luque, E.: Applying a Dynamic Data Driven Genetic Algorithm to Improve Forest Fire Spread Prediction. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2008, Part III. LNCS, vol. 5103, pp. 36-45. Springer, Heidelberg (2008)
28. Hollingsworth, A., Engelen, R., Textor, C., Benedetti, A., Boucher, O., Chevallier, F., Simmons, A.J.: Toward a monitoring and forecasting system for atmospheric composition. Bull. Amer. Meteor. Soc. 89(8), 1147-1164 (2008)
29. Bouttier, F.: The Météo-France NWP system: Description, recent changes and plans. CNRM (2010)
30. Corti, P., San-Miguel-Ayanz, J., Camia, A., McInerney, D., Boca, R., Di Leo, M.: Fire news management in the context of the European Forest Fire Information System (EFFIS). In: Proceedings of Quinta Conferenza Italiana Sul Software Geografico e Sui Dati Geografici Liberi, GFOSS DAY 2012 (2012)
31. Barnes, W.L., Xiong, X., Salomonson, V.V.: Status of terra MODIS and aqua MODIS. Advances in Space Research 32(11), 2099-2106 (2003)
32. Rodriguez-Aseretto, D., de Rigo, D., Di Leo, M., Cortes, A., San-Miguel-Ayanz, J.: A data-driven model for large wildfire behaviour prediction in Europe. Procedia Computer Science 18, 1861-1870 (2013)
33. Lara, M., Doyen, L.: Sustainable Management of Natural Resources: Mathematical Models and Methods. Springer (2008)
34. Rani, D., Moreira, M.: Simulation Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation. Water Resour. Manag. 24(6), 1107-1138 (2010)
35. Ferreira, L., Constantino, M., Borges, J.G.: A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal. Ann. Oper. Res, 1-19 (2011)
36. Minas, J.P., Hearne, J.W., Handmer, J.W.: A review of operations research methods applicable to wildfire management. Int. J. Wildland Fire 21(3), 189 (2012)
37. de Rigo, D., Rizzoli, A.E., Soncini-Sessa, R., Weber, E., Zenesi, P.: Neuro-dynamic programming for the efficient management of reservoir networks. In: Proceedings of MODSIM 2001, Int. Congress on Modelling and Simulation held in Canberra, Australia, vol. 4, pp. 1949-1954 (2001) ISBN: 0-867405252
38. de Rigo, D., Castelletti, A., Rizzoli, A.E., Soncini-Sessa, R., Weber, E.: A selective improvement technique for fastening neuro-dynamic programming in water resources network management. IFAC-PapersOnLine 16, 7-12 (2005)
39. Castelletti, A., de Rigo, D., Tepsich, L., Soncini-Sessa, R., Weber, E.: On-Line design of water reservoir policies based on inflow prediction. IFACPapersOnLine 17, 14540-14545 (2008)
40. Andersson, E., Thpaut, J.-N.: ECMWFs 4D-Var data assimilation system the genesis and ten years in operations. ECMWF Newsletter 115, 8-12 (2008)
41. Isaksen, L., Haseler, J., Buizza, R., Leutbecher, M.: The new Ensemble of Data Assimilations. ECMWF Newsletter 123, 15-21 (2010)
42. Miller, M., Buizza, R., Haseler, J., Hortal, M., Janessen, P., Untch, A.: Increased resolution in the ECMWF deterministic and ensemble prediction systems, ECMWF Newsletter No. 124 pp.10-16. ECMWF, UK (2010)
43. Molteni, F., Buizza, R., Palmer, T.N., Petroliagis, T.I.: The ECMWF Ensemble Prediction System: Methodology and validation. Q. J. R. Meteorol. Soc. 122, 73-119 (1996)
44. Buizza, R., Bidlot, J.-R., Wedi, N., Fuentes, M., Hamrud, M., Holt, G., Vitart, F.: The new ECMWF VAREPS. Q. J. Roy. Meteorol. Soc. 133, 681-695 (2007)
45. Majewski, D.: The new global icosahedral hexagonal grid point model GME of the Deutscher Wetterdienst. In: Proc. ECMWF Seminar on Recent Developments in Numerical Methods for Atmospheric Modelling, pp. 173-201. ECMWF, Reading (1998)
46. Majewski, D., Liermann, D., Prohl, P., Ritter, B., Buchhold, M., Hanisch, T., Paul, G., Wergen, W., Baumgardner, J.: The operational global icosahedral-hexagonal grid point model GME: Description and high resolution tests. Mon. Wea. Rev. 130, 319-338 (2002)
47. de Rigo, D., Guariso, G.: Rewarding Open Science: A Collaborative Review System for Semantically-Enhanced Free Software and Environmental Data Modelling (in prep., 2013)
48. Bevins, C.D.: FireLib user manual and technical reference. Systems for Environmental Management (1996)
49. Rothermel, R.: How to predict the spread and intensity of forest and range fires. Ogden, UT, USA: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station (1983)
50. Neteler, M., Bowman, M.H., Landa, M., Metz, M.: GRASS GIS: A multi-purpose open source GIS. Environmental Modelling & Software 31, 124-130 (2012)
51. Xu, J., Lathrop, R.G.: GRASS GIS manual: r. spread. In: GRASS GIS 6.4.3svn Reference Manual (2006)
52. Xu, J.: GRASS GIS manual: r. ros. In: GRASS GIS 6.4.3svn Reference Manual (2009)
53. Andrews, P., LLoyd, P.: Fire modeling and information system technology. Int. J. Wildland Fire 10(4), 343-352 (2001)
54. Albini, F.A.: Estimating wildfire behavior and effects. Gen. Tech. Rep. INT-30. Ogden, Utah: Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station (1976)
55. Camia, A., et al.: Development of the fuel type map of Europe. EUR Scientific and Technical Research (in prep.)
56. Rothermel, R.C.: A mathematical model for predicting fire spread in wildland fuels. Res. Pap. INT-115. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station (1972)
57. Certini, G.: Effects of fire on properties of forest soils: A review. Oecologia 143, 1-10 (2005)
58. DeBano, L.F.: The role of fire and soil heating on water repellency in wildland environments: A review. J. Hydrol. 231-232, 195-206 (2000)
59. Larsen, I.J., MacDonald, L.H.: Predicting post-fire sediment yields at the hillslope scale: testing RUSLE and disturbed WEPP. Water Resour. Res. 43(11), W11412 (2007)
60. Scott, D.F., Van Wyk, D.B.: The effects of wildfire on soil wettability and hydrological behavior of an afforested catchment. J. Hydrol. 121, 256-293 (1990)
61. Barbosa, P., Camia, A., Kucera, J., Libert, G., Palumbo, I., San-Miguel-Ayanz, J., Schmuck, G.: Assessment of Forest Fire Impacts and Emissions in the European Union Based on the European Forest Fire Information System. Developments in Environmental Science 8, 197-208 (2008)
62. de Rigo, D., Barredo, J.I., Busetto, L., Caudullo, G., San-Miguel-Ayanz, J.: Continental-Scale Living Forest Biomass and Carbon Stock: a Robust Fuzzy Ensemble of IPCC Tier 1 Maps for Europe. In: Hřebíček, J., Schimak, G., Kubásek, M., Rizzoli, A. (eds.) ISESS 2013. IFIP AICT, vol. 413, pp. 271-284. Springer, Heidelberg (2013)
63. Bosco, C., Rusco, E., Montanarella, L., Panagos, P.: Soil erosion in the Alpine area: risk assessment and climate change. Studi Trent. Sci. Nat. 85, 117-123 (2009)
64. Angima, S.D., Stott, D.E., O'Neill, M.K., Ong, C.K., Weesies, G.A.: Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agriculture Ecosystems and Environment 97, 295-308 (2003)
65. Kinnell, P.I.: Event soil loss, runoff and the Universal Soil Loss Equation family of models: A review. Journal of Hydrology 385, 384-397 (2010)
66. Heineke, H.J., Eckelmann, W., Thomasson, A.J., Jones, R.J.A., Montanarella, L., Buckley, B.: Land Information Systems: Developments for planning the sustainable use of land resources. Office for Official Publications of the European Communities. EUR 17729 EN (1998)
67. FAO, IIASA, ISRIC, ISSCAS, JRC:World Soil Database (version 1.1). FAO, Rome, Italy and IIASA, Laxenburg, Austria (2009)
68. Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R.: The Shuttle Radar Topography Mission. Reviews of Geophysics 45, RG2004 (2007)
69. European Environment Agency: Corine Land Cover 1990, 2000 and 2006 raster data version 15 (August 2011)
70. Haylock, M.R., Hofstra, N., Klein Tank, A.M.G., Klok, E.J., Jones, P.D., New, M.: A European daily high-resolution gridded dataset of surface temperature and precipitation. J. Geophys. Res. (Atmospheres) 113, D20119 (2008)
71. Panagos, P., Jones, A., Bosco, C., Senthil Kumar, P.S.: European digital archive on soil maps (EuDASM): Preserving important soil data for public free access. Int. J. of Digital Earth 4(5) (2011)
72. Bosco, C., Rusco, E., Montanarella, L., Oliveri, S.: Soil erosion risk assessment in the alpine area according to the IPCC scenarios. In: Threats to Soil Quality in Europe. EUR 23438 EN, pp. 47-58 (2008)
73. Cebecauer, T., Hofierka, J.: The consequences of land-cover changes on soil erosion distribution in Slovakia. Geomorphology 98, 187-198 (2008)
74. Terranova, O., Antronico, L., Coscarelli, R., Iaquinta, P.: Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: An application model for Calabria (southern Italy). Geomorphology 112, 228-245 (2009)
75. Rodriguez-Aseretto, R., Cortés, A., Margalef, T., Luque, E.: An Adaptive System for Forest Fire Behavior Prediction. In: 11th IEEE Int. Conf. on Comp. Sci. Eng., CSE 2008, pp. 275-282. IEEE (2008)