Assessing fire risk using the FMECA method in southern Sidi Bel Abbes (Western Algeria)
DOI:
https://doi.org/10.46325/afj.v8i2.172Keywords:
wildfire, FMECA, prevention, riskAbstract
Forest fires are a major threat to forest ecosystems and local economies, with conventional prevention and firefighting methods often proving inadequate due to the complexity of forest environments. This study aims to enhance fire prevention in the Khoudida Forest using Failure Modes and Effects Analysis (FMECA). It identified ten critical indicators that influence fire risk. Among these, three indicators penetrability, floristic composition, and preventive management are particularly crucial, with criticality scores of 18, 12, and 18, respectively. In terms of risk severity, 60% of identified failure modes had severe impacts, and 40% were moderately severe. The frequency of occurrence showed 50% of modes were frequent, while 40% occurred at a moderate rate. Most risks (90%) exhibited medium to low detectability, emphasizing the difficulty in early detection.
References
Allen C. D., Macalady A. K., Chenchouni H., Bachelet D., McDowell N., Vennetier, M., Kitzberger T., Rigling A., Breshears D. D., Hogg E., Gonzalez P., Fensham R., Zhang Z., Castro J., Demidova N., Lim J., Allard G., Running S. W., Semerci A., Cobb, N., 2010. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management, 259(4), 660–684. doi:10.1016/j.foreco.2009.09.001
Arar A., Tabet S., Nouidjem Y., Bounar R., Chenchouni H. 2018. Projected Small-Scale Range Reductions of Cedrus atlantica Forests Due to Climate Change at the Belezma National Park (Algeria). In Advances in Science, Technology & Innovation/Advances in science, technology & innovation (pp. 15–19). https://doi.org/10.1007/978-3-030-01683-8_4
Arrez C. L., Cingria L., Menu J. M., Racioppi C., Schroecker A., Bonnabry P., 2010. Analyses prospectives des risques dans la distribution des médicaments: impact de l’introduction des technologies de l’information. Journées franco-suisses de Pharmacie hospitalière, Sion (Suisse).
Baroudi M., Letreuch B & Benabdeli K. 2011. Incidence de la fluctuation des précipitations sur l'occupation des sols dans les hautes plaines de Sidi-Bel-Abbès (Algérie), Physio-Géo, 5 -1 : 191-210. https://doi.org/10.4000/physio-geo.2059.
Belgherbi B., 2002. Intégration des données de télédétection et des données multi-sources dans un système d’information géographique (SIG) pour la protection des forêts contre les incendies (Cas de la forêt de Guetaria-Ouest de l’Algérie). Mém. Magister, Université de Tlemcen. Algérie, 217p.
Benabdeli K., Harrache D., 2008. Quels indicateurs du développement durable en milieu industriel pour conforter la gestion du risque ? Vie & Sciences De l’entreprise, N° 179-180(2), 9–21. https://doi.org/10.3917/vse.179.0009
Benabdeli K., Moulay A., 2013. Quelle stratégie de gestion durable des territoires forestiers en Algérie face à leur vulnérabilité ? IIIème Semaine Forestière Méditerranéenne, Tlemcen, 17-21 Mars.45 :135
Benabdeli K., 2013. Quels préalables pour asseoir une stratégie de reboisement des subéraies en Algérie ? Journées d’Etude sur la Réhabilitation des Subéraies Incendiées et Reboisements Tlemcen les 16 et 17 Janvier 2013. Université de Tlemcen, Algérie. 72 pp.
Benaouda Z., Mehdadi Z., & Bouchaour I., 2005. Pedoclimatic influence on the evolution of forestry formations in semiarid areas: the case of the Tenira Forest (Western Algeria); Secheresse (Montrouge) 16(2): 115-120
Bernard J., Aubert B. A., Bourdeau S., Peignier I., 2002. Le risque : un modèle conceptuel d’intégration. https://www.researchgate.net/publication/4816441_Le_risque_un_modele_conceptuel_d'integration
Bonnabry P., Cingria L., Sadeghipour F., Ing H., Fonzo-Christe C., Pfister R. E., 2005. Use of a systematic risk analysis method to improve safety in the production of paediatric parenteral nutrition solutions. Quality & Safety, 14(2):93-98. https://doi.org/10.1136/qshc.2003.007914
Chenchouni H., 2010. Drought-induced mass mortality of Atlas cedar forest (Cerdus atlantica) in Algeria. In: The International Forestry Review, XXIII IUFRO World Congress (Seoul, Korea: August 23-28, 2010). Forest for the future: Sustaining society and the environment, 508 p.
Cohen M. R., Senders J., Davis N. M., 1994. Failure mode and effects analysis: A novel approach to avoiding dangerous medication errors and accidents. https://www.researchgate.net/publication /13165439_Failure_mode_and_effects_analysis_A_novel_approach_to_avoiding_dangerous_medication_errors_and_accidents
Curkovic S., Scannell T., Wagner B., 2015. Using FMEA for supply chain risk management. In CRC Press eBooks (25–42). https://doi.org/10.1201/b18610-3
El Bouhissi M. E., Bouidjra S. E. B., Benabdeli K. 2020. GIS, Forest Fire Prevention and Risk Matrix in the National Forest of Khoudida, Sidi Bel Abbes, Algeria. Open Journal of Ecology, 10(06): 356–369. https://doi.org/10.4236/oje.2020.106022
Elleuch H., Hachicha W., Chabchoub H., 2013. A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study. Journal of Risk Research, 17(5),: 641–663. doi:10.1080/13669877.2013.815653
El Zerey W., 2014. Etude diachronique de la régression du couvert forestier de la plaine de Telagh (Algérie) : approche par télédétection et SIG [Diachronic study of the forest cover regression in the Telagh plain (Algeria) : approach by remote sensing and GIS]. Bulletin de l'Institut Scientifique Rabat, n° 36, 25-31.
Faucher J., 2009. Pratique de l’AMDEC. Paris, Dunod, 2e édition, 195 p.
Haddouche D., Benhanifia K., Gacemi M., 2011 . Spatial analysis of forest regeneration after fire in the forest of Fergoug in Mascara, Algeria. Bois et forêts des tropiques., 307 (1) : 23–31.
Heddadji, N & Bouabbdalah, A. 2018. Etude de l’évolution de quelques paramétrés climatiques durant la période (1985-1999) de la région de Sidi Bel Abbes, Mémoire de Master, Université Mohamed El Bachir El Ibrahimi B.B.A. 60 pp.
Ghefar M., Bouazzaoui A., 2021. La vulnérabilité de la forêt de Khodida (W. Sidi Bel Abbes) face aux incendies, Annales de la Recherche Forestière en Algérie. Algérie 2021,11(02):62-67.
Ghefar M., Boutkhil M. Ayoub B., 2024. Assessing the impact of anthropogenic activities on land use and land cover changes in the semi-arid and arid regions of Algeria. Environmental monitoring and assessment 196, 383 (2024). https://doi.org/10.1007/s10661-024-12524-2.
Ghorbanzadeh O., Blaschke T., Gholamnia K., Aryal J., 2019. Forest fire susceptibility and risk mapping using Social/Infrastructural vulnerability and environmental variables. Fire, 2(3), 50. https://doi.org/10.3390/fire2030050
Huang J., Li, Liu H., 2017. New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliability Engineering & System Safety, 167: 302–309. https://doi.org/10.1016/j.ress.2017.06.014
Hurtrel F., Beretz L., Renard V., Hutt A., 2012. Analyse des risques liés au circuit de gestion et de dispensation des produits en expérimentation clinique par « AMDEC ». Risques & Qualité, Hôpital Édouard Herriot, CHU de Lyon, France, Volume IX - (1) : 22-30.
Khader M., Benabdeli K., Mederbal K., Fekir Y., Gueddim R., Mekkous B., 2009. Etude du risque incendie à l’aide de la géomatique: cas de la forêt de Nesmoth (Algérie). Mediterránea Serie De Estudios Biológicos, 20. https://doi.org/10.14198/mdtrra2009.20.07
Landy G., 2011. AMDEC : Guide pratique. Paris, AFNOR, 2e édition, 227 pp.
Liu Y., Chen B., Dong Q., Liu W., Nie W., Yang C., 2022. Failure mode risk assessment methodology for controlling multi-uncertainties in the evaluation process. Engineering Applications of Artificial Intelligence, 116, 105470. https://doi.org/10.1016/j.engappai.2022.105470
Meddour-Sahar O. Derridj A., 2012. Bilan des feux de forêt en Algérie : Analyse spatiotemporelle et cartographie du risque (période 1985-2010), Sécheresse, 23, 133-141,
Missoumi A. Tadjouni, K., 2003. SIG et imagerie Alsat1 pour la cartographie du risque d’incendie de forêt en Algérie. 2nd FIG régional conférence , Marrakch, 2-5 Décembre, 14 pp.
Moreira, F.; Catry, F.X.; Rego, F.; Bacao, F., 2010, Size-dependent pattern of wildfire ignitions in Portugal: When do ignitions turn into big fires? Landscape. Ecology., 45, 1405–1417. https://doi.org/10.1007/s10980-010-9491-0
Moayedi H., Mehrabi M., Bui D. T., Pradhan B., Foong L. K., 2020. Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility. Journal of Environmental Management, 260, 109867. doi:10.1016/j.jenvman.2019.109867
Pandelios G., Behrens S., Murphy R., 1999. Software risk evaluation (SRE) Method Description (version 2.0), team member's notebook, Software Engineering Institute (SEI), 156.
Robert C., 1998. Prévention et lutte contre les grands incendies de forêts. Forêt méditerranéenne, 19(l), 41-64.
Romero, B., & Ganteaume, A. (2021). Effect of Fire Frequency on the Flammability of Two Mediterranean Pines: Link with Needle Terpene Content. Plants, 10(10), 2164. https://doi.org/10.3390/plants10102164
Sahar O., M., Rachid M., Arezki D., 2008. Analyse des feux de forêts en Algérie sur le temps long (1876–2007). Les Notes d’analyse du CIHEAM N° 39.
Sahar O. Bouisset C., 2013. Les grands incendies de forêt en Algérie : problèmes humains et politiques publiques dans la gestion des risques, journal of mediterranean geography, 121 : 33-40.
Sahar O., Leone V., Limani H., Rabia N., Meddour R., 2018. Wildfire risk and its perception in Kabylia (Algeria). iForest - Biogeosciences and Forestry, 11(3), 367–373. https://doi.org/10.3832/ifor2546-011
Sharma S., Khanal P., 2024. Forest Fire Prediction: A spatial machine learning and neural network approach. Fire, 7(6), 205. https://doi.org/10.3390/fire7060205
Sayad Y. O., Mousannif H., Moatassime H. A., 2019. Predictive modeling of wildfires: A new dataset and machine learning approach. Fire Safety Journal, 104, 130–146. doi:10.1016/j.firesaf.2019.01.006
Talbi O., Benabdeli K., Benhanifia K., Haddouche D., 2017. Cartographie des zones de risque de feux de forêt dans la commune de Doui Thabet, Saïda, Algérie. International Journal of Environmental Studies, 75(4), 543–552. doi:10.1080/00207233.2017.1386434
Tavoda P., Kováč J., Łukaszczyk Z. Ł., 2018. Reliability analysis of forest machines due to FMECA method. Management Systems in Production Engineering, 26(4), 200–206. https://doi.org/10.1515/mspe-2018-0032
Tedim F., Meddour-Sahar O., Lovreglio R., Leone V., 2014. Forest fires hotspots in EU Southern Member States and North Africa: a review of causes and motives. Imprensa Da Universidade De Coimbra eBooks, 1843–1854. doi:10.14195/978-989-26-0884-6_205
Tymstra C., Stocks B. J., Cai X., Flannigan M. D., 2020. Wildfire management in Canada: Review, challenges and opportunities. Progress in Disaster Science, 5, 100045. doi:10.1016/j.pdisas.2019.100045
Tuncel G., Alpan G., 2010. Risk assessment and management for supply chain networks: A case study”. Computers in industry, 61: 250-259.
Williams E, Talley R., 1994. The use of failure mode and critical analysis in a medication error subcommittee. Hosp Pharm, 29: 331-337.
Zúñiga A. A., Fernandes J. F. P.,Branco P. J. C., 2023. Fuzzy-Based failure modes, effects, and criticality analysis applied to Cyber-Power grids. Energies, 16(8), 3346. doi :10.3390/en16083346
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