المصدر: Lockheed Martin Missiles & Fire Control Company Profile. 5/17/2024, p1-21. 21p.

مصطلحات موضوعية: *AEROSPACE industries

مصطلحات جغرافية: GRAND Prairie (Tex.)

الشركة/الكيان: LOCKHEED Martin Missiles & Fire Control (Company)

المصدر: Lockheed Martin Missiles & Fire Control Company Profile. 11/2/2023, p1-21. 21p.

مصطلحات موضوعية: *AEROSPACE industries

مصطلحات جغرافية: GRAND Prairie (Tex.)

الشركة/الكيان: LOCKHEED Martin Missiles & Fire Control (Company)

المؤلفون: Zimeng CHENG, Shaoying LI, Limei BAI, Liwen GUO, Yuxin MA, Liucheng ZHAO

المصدر: Meikuang Anquan, Vol 55, Iss 1, Pp 126-131 (2024)

مصطلحات موضوعية: resisting agents, magnesium salts, spontaneous combustion of coal, characteristic temperature, exothermic properties, resistivity rate, fire control, Mining engineering. Metallurgy, TN1-997

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1003-496XTest

الوصول الحر: https://doaj.org/article/38dbe5b67865411a9571d07064e7910aTest

المؤلفون: Rahman, Md M., Abdulhamid, A., Kabir, Sohag

مصطلحات موضوعية: Internet of Things, Smart fire control system, System failure analysis, Fault tree analysis

الإتاحة: http://hdl.handle.net/10454/19740Test

المؤلفون: ATLAS, TED

المصدر: Aviation History. May2022, Vol. 32 Issue 5, p44-51. 8p. 10 Color Photographs, 7 Black and White Photographs.

مصطلحات موضوعية: *AERONAUTICS in forest fire control, *FOREST fire prevention & control, *AIRTANKERS (Forest fire control), *WATER supply for fire service

مصطلحات جغرافية: MENDOCINO National Forest (Calif.)

People: ELY, Joe

المؤلفون: Waluyo, Efendi Agus, Lubis, Djuara P., Sadono, Dwi, Saharjo, Bambang Haro

المصدر: Revista de Gestão Social e Ambiental; Vol. 18 No. 5 (2024); e05266 ; Revista de Gestão Social e Ambiental - RGSA; Vol. 18 Núm. 5 (2024); e05266 ; Revista de Gestão Social e Ambiental; v. 18 n. 5 (2024); e05266 ; 1981-982X

مصطلحات موضوعية: Collaboration, Dialogue, Forest and Land Fire Control, Participatory Environmental Communication

وصف الملف: application/pdf

العلاقة: https://rgsa.emnuvens.com.br/rgsa/article/view/5266/1994Test; https://rgsa.emnuvens.com.br/rgsa/article/view/5266Test

الإتاحة: https://doi.org/10.24857/rgsa.v18n5-009Test
https://rgsa.emnuvens.com.br/rgsa/article/view/5266Test

المؤلفون: Miqueias Lima Duarte, Tatiana Acácio da Silva, Jocy Ana Paixão de Sousa, Amazonino Lemos de Castro, Roberto Wagner Lourenço

المساهمون: This study was partially financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.

المصدر: GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY; Vol 17, No 1 (2024); 83-94 ; 2542-1565 ; 2071-9388

مصطلحات موضوعية: fire control, GIS, forest fires, Amazon

وصف الملف: application/pdf

العلاقة: https://ges.rgo.ru/jour/article/view/3330/763Test; Acaroglu, O.; Ozdemir, L.; Asbury, B. (2008). A fuzzy logic model to predict specific energy requirement for TBM performance prediction. Tunnelling and Underground Space Technology. v. 23, n. 5, p. 600-608. DOI:10.1016/j.tust.2007.11.003; Adab, H.; Kanniah, K. D.; Solaimani, K. (2013). Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques. Natural Hazards, v. 65, p. 1723–1743.DOI:10.1007/s11069-012-0450-8; Alves, M. T.; Piontekowski, V. J.; Buscardo, E.; Pedlowski, M.; Sano,E. E.; Matricardi, E. A. T. (2021). Effects of settlement designs on deforestation and fragmentation in the Brazilian Amazon. Land Use Policy, v. 109. DOI:10.1016/j.landusepol.2021.105710; Aquilué, N.; Fortin, M-J.; Messier, C.; Brotons, L. (2020). The Potential of Agricultural Conversion to Shape Forest Fire Regimes in Mediterranean Landscapes. Ecosystems. v. 23. p. 34-51. DOI:10.1007/s10021-019-00385-7; Aragão, L.; Anderson, L.O.; Fonseca, M.G.; Rosan, T.M.; Vedovato,L.B.; Wagner, F.H.; Silva, C. V. J.; Silva Junior, C. H. L.; Arai, E.; Aguiar, A. P.; Barlow, J.; Berenguer, E.; Deeter, M. N.; Domingues, L. G.; Gatti, L.; Gloor, M.; Malhi, Y. Marengo, J. A.; Miller, J. B.; Phillips, O. L.; Saatchi, S. (2018). 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions. Nature Communications, p. 1–12. DOI:10.1038/s41467-017-02771-y; Araya-Muñoz, D.; Metzger, M.; Stuart, N.; Wilson, A. M. W.; Carvajal, D. (2017). A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile, v. 576, p. 508-519. DOI:10.1016/j.scitotenv.2016.10.077; Assis, F. R. V.; Mendonça, I. F. C.; Silva, J. E. R.; Lima, J. R. (2014). Uso de geotecnologias na locação espacial de torres para detecção de incêndios florestais no Semiárido Nordestino. Floresta. v. 44, n. 1, p. 133-142. DOI:10.5380/rf.v44i1.32618; Barlow, J.; Berenguer, E.; Carmenta, R.; França, F. (2019). Clarifying Amazonia’s burning crisis. Global Change Biology. v. 26, n. 2, p. 319-321. DOI:10.1111/gcb.14872; Benz, U. C.; Hofmann, P.; Wilhauck, G.; Lingenfelder, I.; Heynen, M. (2004). Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing, v. 58, n. 3–4, 2004, p. 239-258. DOI:10.1016/j.isprsjprs.2003.10.002; Bonazountas, M.; Kallidromitou, D.; Kassomenos, P. A.; Passas, N. (2005). Forest Fire Risk Analysis. Human and Ecological Risk Assessment: An International Journal. v. 11, n. 3. p. 617-626. DOI:10.1080/10807030590949717; Brasil (2020). Projeto de Lei (PL): Institui a Política Nacional de Manejo Integrado do Fogo. Available at: http://www.planalto.gov.br/CCIVIL_03/Projetos/PL/2018/msg774-dezembro2018.htmTest [Accessed 25 Oct. 2022].; Bressane, A.; Silva, P. M.; Fiore, F. A.; Carra, T. A.; Ewbank, H.; Decarli, B. P.; Mota, M. T. (2020). Fuzzy-based computational intelligence to support screening decision in environmental impact assessment: A complementary tool for a case-by-case project appraisal. Environmental Impact Assessment Review, v. 85. DOI:10.1016/j.eiar.2020.106446; Bui, D. T.; Bui, Q. T.; Nguyen, Q. P.; Pradhan, B.; H. Nampak, H.; Trinh, P. T. (2017). A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area. Agricultural and Forest Meteorology, v. 233, p. 32-44. DOI:10.1016/j.agrformet.2016.11.002; Cardozo, F. S.; Pereira, G.; Shimabukuro, Y. E.; Moraes, E. C. (2014). Análise das mudanças dos parâmetros físicos da superfície derivados das queimadas no estado de Rondônia. Boletim de Ciências Geodésicas. v. 20, n. 4. p. 830-854. DOI:10.1590/S1982-21702014000400047; Carmo, M.; Moreira, F.; Casimiro, P.; Vaz, P. (2011). Land use and topography influences on wildfire occurrence in northern Portugal. Landscape and Urban Planning. v. 100. n. 1-2. p. 169-176. DOI:10.1016/j.landurbplan.2010.11.017; Caúla, R. H.; Oliveira-Júnior, J. F. Lyra, G. B.; Delgado, R. C.; Filho, P. F. L. (2015). Overview off fire foci causes and localitions in Brazil based on meteorological satellite data from 1998 to 2011.Enviromental Earth Science. v. 74. p. 1497-1508. DOI:10.1007/s12665-015-4142-z; Chen, W., Zhang, S., Li, R., & Shahabi, H. (2018). Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling. Science of the Total Environment, 644, 1006–1018. DOI:10.1016/j.scitotenv.2018.06.389; Cheng, H.; Zhu, L.; Meng, J. (2022). Fuzzy evaluation of the ecological security of land resources in mainland China based on the PressureState-Response framework. Science of The Total Environment, v. 804. DOI:10.1016/j.scitotenv.2021.150053; Chuvieco, E.; Mouillot, F.; Werf, G. R. V.; Miguel, J. S.; Tanase, M.; Koutsias, N.; García, M.; Yebra, M.; Padilla, M.; Gitas, L.; Heil, A.; Hawbaker, T. J.; Giglio, L. (2019). Historical background and current developments for mapping burned area from satellite Earth observation. Remote Sensing of Environment, v. 225, p. 45-64. DOI:10.1016/j.rse.2019.02.013; Cocconello, M. S.; Bassanezi, R. C.; Brandão, A. J. V.; Leite, J. (2014). On the stability of fuzzy dynamical systems. Fuzzy Sets and Systems. v. 248, n. 1. p .106-121. DOI:10.1016/j.fss.2013.12.009; Duarte, M. L. Sousa, J. A. P.; Castro, A. L.; Lourenço, R. W. (2021). Dynamics of land use in a rural settlement in the Brazilian Legal Amazon. Brazilian Journal of Environmental Sciences, v. 56, n. 3, p. 375–384. DOI:10.5327/Z217694781005; DNIT - Departamento Nacional de Infraestrutura de Transportes. (2020). Rodovias do Brasil (Shapefiles). Available at: http://www.dnit.gov.br/mapas-multimodais/shapefilesTest [Accessed 23 Oct. 2022].; Eugenio, F. C.; Santos, A. R.; Fieldler, N. C.; Ribeiro, G. A.; Silva, A. G.; Juvanhol, R. J.; Schettino, V. R.; Marcatti, G. E.; Domingues, G. F.; Santos, G. M. A. A.; Pezzopane, J. M.; Pedra, B. D.; Banhos, A.; Martins, L. D. (2016). GIS applied to location of fires detection towers in domain area of tropical forest. Science of The Total Environment. v. 562, n. 15. p. 542-549. DOI:10.1016/j.scitotenv.2016.03.231 ESRI (2016). Software ArcGis 10.5; Eskandari, S.; Pourghasemi, H. R.; Tiefenbacher, J. P. (2021). Fire-susceptibility mapping in the natural areas of Iran using new and ensemble data-mining models. Environmental Science and Pollution Research, v. 28, p. 47395–47406. DOI:10.1007/s11356-021-13881-y; Fonseca, A.; Salomão, R.; Ribeiro, J.; Souza Jr. C. (2018). Ameaça e pressão de desmatamento em Áreas Protegidas: SAD agosto de 2017 a julho de 2018. Instituto do Homem e Meio Ambiente da Amazônia – IMAZON. 2p. Available at: https://imazon.org.brTest/ [Accessed 27 Oct. 2022].; França, R. R. (2015). Climatologia das chuvas em Rondônia – período 1981-2011. Revista Geografias. v. 11, n. 1. p. 44-58.; Fernandes, P. H. De Godoy.; Silva, T. A.; Duarte, M. L.; Sousa, J.; Dupas, F. A. (2023). Fuzzy inference system for environmental vulnerability assessment of protected areas: a case study of the Itupararanga environmental protection area in southeastern Brazil. International Journal of River Basin Management, p. 1–16. DOI:10.1080/15715124.2023.2260361; Gizatullin, A. T.; Alekseenko, N. A. Prediction of Wildfires Based on the Spatio-Temporal Variability of Fire Danger Factors. Geography, Environment, Sustainability, 2(15), р 31-37. DOI:10.24057/2071-9388-2021-139; Gholamnia, K.; Nachappa, T. G.; Gorbanzadeh, O.; Blaschke, T. (2020). Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping. Symmetry. v. 12, n. 4. DOI:10.3390/sym12040604; Gomis-Cebolla, J.; Jimenez, J. C.; Sobrino, J. A. (2018). LST retrieval algorithm adapted to the Amazon evergreen forests using MODIS data. Remote Sensing of Environment, v. 204, p. 401-411. DOI:10.1016/j.rse.2017.10.015; Gralewicz, N. J.; Nelson, T. A.; Wulder, M. A. (2012). Factors influencing national scale wildfire susceptibility in Canada. Forest Ecology and Management. v. 265, n. 1. p. 20-29. DOI:10.1016/j.foreco.2011.10.031; Hoegh-Guldberg, O.; Jacob, D.; Taylor, M.; Bindi, M.; Brown, S.; Camilloni, I.; Diedhiou, A.; Djalante, R.; Ebi, K. L.; Engelbrecht, F.; Guiot, J.; Hijioka, Y.; Mehrotra, S.; Payne, A.; Seneviratne, S. I.; Thomas, A.; Warren, R.; Zhou, G. (2018). Impacts of 1.5ºC Global Warming on Natural and Human Systems. In: Global Warming of 1.5°C. Available at: https://www.ipcc.ch/sr15Test/ [Accessed 23 Oct. 2022].; IDARON. (2022). Agência de Defesa Sanitária Agrosilvopastoril do Estado de Rondônia. Gerencia Animal. Campanha de Vacinação 2018. Available at: http://www.idaron.ro.gov.br/index.php/gerencia-animalTest/ [Accessed 23 Oct. 2022].; INPE-Instituto Nacional de Pesquisas Espaciais. (2022). Monitoramento dos Focos Ativos por Países. Available at: http://queimadas.dgi.inpe.br/queimadas/portal-static/estatisticas_paisesTest/ [Accessed 04 Oct. 2022].; Jaiswal, R. K.; Mukherjee, S.; Raju, K. D.; Saxena, R. (2002). Forest fire risk zone mapping from satellite imagery and GIS. International Journal of Applied Earth Observation and Geoinformation. v. 4, n. 1, p. 1-10. DOI:10.1016/S0303-2434(02)00006-5; JAXA - Japan Aerospace Exploration Agency. (2022). Global Satellite Mapping of Precipitation. Available at: https://global.jaxa.jp/policy.htmlTest [Accessed 04 Oct. 2022].; Lopes, E. R. N.; Souza, J. C.; Sousa, J. A. P.; Filho, J. L. A.; Lourenço, R. W. (2021). Anthropic Exposure Indicator for River Basins Based on Landscape Characterization and Fuzzy Inference. Water Resources, 48, 29-40. DOI:10.1134/S0097807821010140; Machado, J. A.; Lopes, A. M. (2014). Analysis of Forest Fires by means of Pseudo Phase Plane and Multidimensional Scaling Methods. Mathematical Problems in Engineering. v. p. 1-8. DOI:10.1155/2014/575872; Mamdani, E. H.; Assilian, S. (1975). An experiment in linguistic synthesis whit a fuzzy logic controller. International Journal of ManMachine Studies. v. 7, n. 1, p. 1-13. DOI:10.1016/S0020-7373(75)80002-2; MapBiomas - Projeto MapBiomas Alerta - versão 4.1 (2020). Sistema de Validação e Refinamento de Alertas de Desmatamento com Imagens de Alta Resolução. Available at: https://mapbiomas.orgTest/ [Accessed 04 Oct. 2022].; Melo, A. S.; Justino, F. B.; Melo, E. C. S.; Vale Silva, T. L. (2012). Índices de risco de fogo de Haines e Setzer em diferentes condições climáticas. Mercator. v. 11, n. 24. p. 187-207. DOI:10.4215/RM2012.1124. 0012; 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, v. 260. DOI:10.1016/j.jenvman.2019.109867; Mohammadi, F.; Bavaghar, M. P.; Shabanian, N. (2014). Forest Fire Risk Zone Modeling Using Logistic Regression and GIS: An Iranian Case Study. Small-scale Forestry, v. 13, p. 117-125. DOI:10.1007/s11842-013-9244-4; Mohajane, M.; Costache, R.; Karimi, F.; Bao Pham, Q.; Essahlaoui, A.; Nguyen, H.; Laneve, G.; Oudija, F. (2021). Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean Área. Ecological Indicators v. 129, 107869. DOI:10.1016/j.ecolind.2021.107869; Mota, P. H. S.; Rocha, S. J. S. S.; Castro, N. L. M.; França, L. C. J.; Schettini, B. L. S.; Villanova, P. H.; Santos, H. T.; Santos, A. R. (2019). Forest fire hazard zoning in Mato Grosso State, Brazil. Land Use Policy. v. 88, p. 1-6. DOI:10.1016/j.landusepol.2019.104206; NASA (2020). Fire Information for Resource Management System (FIRMS). Available at: https://firms.modaps.eosdis.nasa.gov/downloadTest/ [Accessed 09 Oct. 2022].; Nascimento, O. S.; Souza, I. R.; Nascimento, W. P. S.; Nascimento, J. S. (2017). Análise espaço-temporal dos focos de calor no município de Parnaguá Piauí, entre 2008 a 2015. Revista Brasileira de Gestão Ambiental. v.11, n.1, p.193 -199.; Nikolova, N. Zlateva, P.; Todorov, L. (2021). Fuzzy Logic Approach to Complex Assessment of Drought Vulnerability, IFIP Advances in Information and Communication Technology, v. 622. DOI:10.1007/978-3-030-81469-4_24; Nwazelibe, V. E.; Unigwe, C. O.; Egbueri, J. C. (2023). Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility mapping of Udi Province, SE Nigeria, CATENA, v. 220. DOI:10.1016/j.catena.2022.106654; Ojha, V.; Abrahan, A.; Snásel, V. (2019). Heuristic design of fuzzy inference systems: A review of three decades of research. Engineering Applications of Artificial Intelligence, v. 85, p. 845-864. DOI:10.1016/j.engappai.2019.08.010; Oliveira, A. L. S.; Nero, M. A.; Júnior, J. R. T.; Candeias, A. L. B.; Nóbrega, R. A. A. (2017). Comparação e validação da modelagem espacial de risco de incêndios considerando diferentes métodos de predição. Bulletin of Geodetic Sciences. v. 23, n. 4, p. 556-577. 2017. DOI:10.1590/S1982-21702017000400037; Oliveira, A. B. F.; Bottino, M. J.; Nobre, P.; Nobre, C. A. (2021). Deforestation and climate change are projected to increase heat stress risk in the Brazilian Amazon. Communications Earth & Environment, v. 2, p. 1–8. DOI:10.1038/s43247-021-00275-8; OSM Foundation. (2020). OpenStreetMap Foundation. United Kingdom. Available at: https://www.openstreetmap.org/copyrightTest [Accessed 04 Oct. 2022].; Parente, J.; Pereira, M. G. (2016). Structural fire risk: the case of Portugal. Science of the total Environmental. V. 573, n. 15. P. 883-893. DOI:10.1016/j.scitotenv.2016.08.164; Pourghasemi, H. R.; Gayen, A.; Lasaponara, R.; Tiefenbacher, J. P. (2020). Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling. Environmental Research. v. 184, p. 1-12. DOI:10.1016/j.envres.2020.109321; R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.r-project.orgTest/ [Accessed 03 Oct. 2022].; Ribeiro, L.; Soares, R. V.; Bepller, M. (2012). Mapeamento do risco de incêndios florestais no município de Novo Mundo, Mato Grosso, Brasil. Cerne, v. 18, n. 1, p. 117-126. DOI:10.1590/S0104-77602012000100014; Ribeiro, T. M.; Mendonça, B. A. F.; Oliveira-Júnior, J. F.; Fernandes-Filho, E. I. (2020). Fire foci assessment in the Western Amazon (2000– 2015). 2020. Environment, Development and Sustainability. DOI:10.1007/s10668-020-00632-1; Román-Flores, H.; Chalco-Cano, Y.; Figueroa-García, J. C. (2020) A note on defuzzification of type-2 fuzzy intervals. Fuzzy Sets and Systems. DOI:10.1016/j.fss.2019.06.011; Sahana, M.; Patel, P. P. (2019) A comparison of frequency ratio and fuzzy logic models for flood susceptibility assessment of the lower Kosi River Basin in India. Environmental Earth Sciences, 78. DOI:10.1007/s12665-019-8285-1; Sahiner, A.; Ermiş, E.; Karakoyun, M. H.; Awan, M. W. (2022) Determining the most effective way of intervention in forest fires with fuzzy logic modeling: the case of Antalya/Türkiye. Natural Hazards. DOI:10.1007/s11069-022-05763-4; Santos, L. O. F.; Querino, C. A. S.; Querino, J. K. A. S.; Junior, A. L. P.; Moura, A. R. M.; Machado, N. G.; Biudes, M. S. (2019). Validation of rainfall data estimated by GPM satellite on Southern Amazon region. Revista Ambiente & Água, v.14, n.1.DOI:10.4136/ambi-agua.2249; Schlindwein, J. A.; Marcolan, A. L.; Fioreli-Perira, E. C.; Pequeno, P. L. L.; Militão, J. S. T. L. (2012). Solos de Rondônia: usos e perspectivas. Revista Brasileira de Ciência da Amazônia, v. 1, n. 1. p. 213-231.; SEDAM - Secretaria de Estado do Desenvolvimento Ambiental. (2020). Relatório de Alerta de Focos de calor. Available at: http://coreh.sedam.ro.gov.br/focos-de-queimadaTest/ [Accessed 17 Oct. 2022].; SEMA-Secretaria Municipal de Meio Ambiente. (2012). Revisão do Plano de Manejo do Parque Natural Municipal de Porto Velho. 244pp. Available at: https://sema.portovelho.ro.gov.br//artigo/23660/protecao-integralTest [Accessed 10 Oct. 2022].; Silva, I. D. B.; Pontes Jr. A. C. F. (2011). Elaboração de um fator de risco de incêndio florestal utilizando lógica fuzzy. Biomatemática. v. 21, p. 113-128.; Silva, M. J. G.; Querino, C. A. S.; Neto, L. A. S.; Machado, N. G.; Militão, J. S.; Biudes, M. S. (2018). Efeito da ocupação do solo sobre o clima de Porto Velho, Rondônia, Brasil. RA’EGA, v. 43, p. 232-251. DOI:10.5380/raega.v43i0.48753; Silva, R. M. Da.; Lopes, A. G.; Santos, C. A. G. (2023). Deforestation and fires in the Brazilian Amazon from 2001 to 2020: Impacts on rainfall variability and land surface temperature. Journal of Environmental Management, v. 326, p. 116664, 2023. DOI:10.1016/j.jenvman.2022.116664; Souza, J. C.; Sales, J. C. A.; Lopes, E. R. N.; Roveda, J. A. F.; Roveda, S. R. M. M.; Lourenço, R. W. (2019). Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna. Environmental Monitoring and Assessment, v. 191. DOI:10.1007/s10661-019-7789-1; Staver, A.; Brando, P. M.; Barlow, J.; Morton, D. C.; Piane, C. E.; alhi, Y.; Murakami, A. A.; Pasquel, J. d. A. (2020). Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire. Ecology Letters. v. 23, n. 1, p. 99-106. DOI:10.1111/ele.13409; Tejas, G. T.; Souza, R. M. da S.; França, R. R.; Nunes, D. D. (2012) Estudo da variabilidade climática em Porto Velho-Brasil no período de 1982-2011. Revista de Geografia. v. 29, n, 2. p. 63-82.; USGS - United States Geological Survey (2020). MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1. Available at: https://doi.org/10.5067/MODIS/MOD11A2.006Test [Accessed 15 Oct. 2022].; Vadrevu, K. P.; Eaturu, A.; Badarinath, K. V. S. (2006). Spatial distribution of forest fires and controlling factors in Andhra Pradesh, India using spot satellite datasets. Environmental Monitoring and Assessment, v. 123, n. 1–3, p. 75-96. DOI:10.1007/s10661-005-9122-4; Venkatesh, K.; Preethi, K.; Ramesh, H. (2020). Evaluating the effects of forest fire on water balance using fire susceptibility maps. Ecological Indicators. v. 110, p. 1-14. DOI:10.1016/j.ecolind.2019.105856; Venturi, N. L.; Antunes, A. F. B. (2007). Determinação de locais ótimos para implantação de torres de vigilância para detecção de incêndios florestais por meio de Sistema de Informações Geográficas. Floresta. v. 37, n. 2, p. 159-173. 2007. DOI:10.5380/rf.v37i2.8647; White, L. A. S.; White, B. L. A.; Ribeiro, G. T. (2016). Modelagem espacial do risco de incêndio florestal para o Município de Inhambupe, BA. Brazilian Journal of Forestry Research. v. 36, n. 85, p. 41-49. DOI:10.4336/2016.pfb.36.85.850; Zadeh, L. A. (1965) Fuzzy sets. Information and Control, v. 8, n. 3, p. 338-353. DOI:10.1016/S0019-9958(65)90241-X; https://ges.rgo.ru/jour/article/view/3330Test

الإتاحة: https://doi.org/10.24057/2071-9388-2023-2910Test
https://doi.org/10.1016/j.tust.2007.11.003Test
https://doi.org/10.1007/s11069-012-0450-8Test
https://doi.org/10.1016/j.landusepol.2021.105710Test
https://doi.org/10.1007/s10021-019-00385-7Test
https://doi.org/10.1038/s41467-017-02771-yTest
https://doi.org/10.1016/j.scitotenv.2016.10.077Test
https://doi.org/10.5380/rf.v44i1.32618Test
https://doi.org/10.1111/gcb.14872Test
https://doi.org/10.1016/j.isprsjprs.2003.10.002Test

المؤلفون: Qiang Shi, Jiaxu Zuo, Wei Song, Fang Jing

المصدر: Fire, Vol 7, Iss 3, p 101 (2024)

مصطلحات موضوعية: fire control, nuclear-grade cable, combustion characteristics, pyrolysis behavior, Physics, QC1-999

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2571-6255/7/3/101Test; https://doaj.org/toc/2571-6255Test

الوصول الحر: https://doaj.org/article/d19ee92f39674e3c82920de7e52f8f70Test

المؤلفون: BAI Gang, LINGHU Jianshe, LI Yaoqian, ZHOU Xihua, TANG Xiaoyu

المصدر: Meikuang Anquan, Vol 54, Iss 3, Pp 117-122 (2023)

مصطلحات موضوعية: coal spontaneous combustion, fire control, width of oxidation zone, co2 injection, response surface method, Mining engineering. Metallurgy, TN1-997

وصف الملف: electronic resource

العلاقة: https://www.mkaqzz.com/cn/article/id/8330Test; https://doaj.org/toc/1003-496XTest

الوصول الحر: https://doaj.org/article/8092534f2dc74fe4ba49e08479f1b191Test

المؤلفون: Bian Shabri Putri Irwanto, Meirina Ernawati, Indriati Paskarini, Arista Fitri Amalia

المصدر: The Indonesian Journal of Occupational Safety and Health, Vol 12, Iss 1, Pp 143-155 (2023)

مصطلحات موضوعية: fire control, fire prevention, hospital, occupational health and safety, Industrial safety. Industrial accident prevention, T55-55.3, Industrial hygiene. Industrial welfare, HD7260-7780.8

وصف الملف: electronic resource

العلاقة: https://e-journal.unair.ac.id/IJOSH/article/view/31680Test; https://doaj.org/toc/2301-8046Test; https://doaj.org/toc/2540-7872Test

الوصول الحر: https://doaj.org/article/537f465b7efe4d328d4137c81f17c2ceTest