Mapping Forest Fire Risk and Development of Early Warning System for NW Vietnam Using AHP and MCA/GIS Methods
Source abstract
Abstract
Forest fires constitute a major environmental problem in tropical countries, especially in the context of climate change and increasing human populations. This paper aims to identify the causes of frequent forest fires in Son La Province, a fire-prone and forested mountainous region in northwest Vietnam, with a view to constructing a forest fire-related database with multiple layers of natural, social and economic information, extracted largely on the basis of Landsat 7 images. The assessment followed an expert systems approach, applying multi-criteria analysis (MCA) with an analytical hierarchy process (AHP) to determine the weights of the individual parameters related to forest fires. A multi-indicator function with nine parameters was constructed to establish a forest fire risk map at a scale of 1:100,000 for use at the provincial level. The results were verified through regression analysis, yielding R2 = 0.86. A real-time early warning system for forest fire areas has been developed for practical use by the relevant government authorities to provide more effective forest fire prevention planning for Son La Province.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Fire effects on ecosystems · Landslides and related hazards · Soil and Land Suitability Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Geographic Information Systems Research Center, Feng Chia University, Taichung 40724, Taiwan
Faculty of Geography, VNU University of Science, No 334 Nguyen Trai, Thanh Xuan, Hanoi City 100000, Vietnam
Ph.D. Program for Civil Engineering, Water Resources Engineering, and Infrastructure Planning, College of Construction and Development, Feng Chia University, Taichung 40724, Taiwan
Faculty of Cadastral and Geography, Quy Nhon University, 170 An Duong Vuong, Nguyen Van Cu, Quy Nhon, Binh Dinh 55113, Vietnam
Department of Environmental & Geographical Science, University of Cape Town, Rondebosch 7701, South Africa
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China
References (36)
Show source-provided references
1. Yusuf, A.A., and Francisco, H.A. (2009). Climate Change Vulnerability Mapping for Southeast Asia, EFPSEA.
2. Asian Development Bank (2013). Vietnam: Environment and Climate Change Assessment, Asian Development Bank. ISBN 978-92-9254-131-6; ISBN 978-92-9254-132-3.
3. Vegetation fires and air pollution in Vietnam10.1016/j.envpol.2014.07.023 ↗
4. Trends in vegetation fires in South and Southeast Asian countries10.1038/s41598-019-43940-x ↗
5. FAO (2007). Fire Management—Global Assessment 2006. A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment 14 2005, FAO. Available online: http://www.fao.org/docrep/009/a0969e/a0969e00.htm.
6. (2019, December 06). Forest Fire Statistic Ddata 2015. Available online: http://thoibaotaichinhvietnam.vn/pages/xa-hoi/2016-03-04/ca-nuoc-xay-ra-2792-vu-chay-trong-nam-2015-29279.aspx.
7. Evaluation of Forest Fire Risk with GIS
8. Wen, C., He, B., Quan, X., and Liu, X. (2018, January 23–27). Wildfire Risk Assessment Using Multi-Source Remote Sense Derived Variables. Proceedings of the IGARSS 2018—2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.10.1109/IGARSS.2018.8518633 ↗
9. Forest fire risk maps: A GIS open source application—A case study in Norwest of Portugal10.1080/13658816.2012.721554 ↗
10. Mapping forest fire risk zones with spatial data and principal component analysis10.1007/s11434-006-8115-1 ↗
11. (2019, August 06). Natural and Social-Economic Conditions in Son La, Available online: http://sotnmt.sonla.gov.vn/NewsDetail.aspx?id=43.
12. Forest fire risk modelling using remote sensing and geographic information systems
13. A method for mapping fire hazard and risk across multiple scales and its application in fire management10.1016/j.ecolmodel.2008.10.022 ↗
14. Countryman, C.M. (1972). The Fire Environment Concept.
15. Thom, L.D. (2012). Scientific Forest Fire Level Prediction in Northern Central Provinces, Forest Protection Department, Vietnam Ministry of Agriculture and Development.
16. Hardwick, P.E., Lachowski, H., Forbes, J., Olson, R.J., Roby, K., and Fites, J. (1998, January 6–10). Fuel loading and risk assessment Lassen National Forest. Proceedings of the Seventh Forest Service Remote Sensing Applications Conference, Nassau Bay, TX, USA.
17. Rothermel, R.C. (1972). A Mathematical Model for Predicting Fire Spread in Wildland Fuels, U.S. Department of Agriculture, Intermountain Forest and Range Experiment Station. Res. Pap. INT-115.
18. Forest fire risk mapping by Kernel density estimation
19. Hoang, M.H. (2007, January 11–12). Status of forest fire management and control in Vietnam. Proceedings of the GEOSS AP Symposium Integrated Observation for Sustainable Development in the Asia-Pacific Region, Tokyo, Japan.
20. (2020, May 29). Website of General Statistics Office of Vietnam, Available online: https://www.gso.gov.vn/.
21. (2019, December 06). Vietnam Administration of Forestry. Available online: http://www.kiemlam.org.vn.
22. An exposition of the AHP in reply to the paper Remarks on the Analytic Hierarchy Process10.1287/mnsc.36.3.259 ↗
23. Rao, K.R. (2019). Wind Energy: Technical Considerations-Contents. Wind Energy for Power Generation, Springer.10.1007/978-3-319-75134-4 ↗
24. Fire enhances the complexity of forest structure in alpine treeline ecotones10.1002/ecs2.2091 ↗
25. Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project10.1016/j.ecolmodel.2007.02.005 ↗
26. Mastura, M. (1999, January 12). Forest Fire Monitoring and Mapping in South East Asia, Department of Geography, Universiti Kebangsaan Malaysia. Proceedings of the National Seminar on LUCC and GOFC (NASA/EOC), Bangi, Malaysia.
27. Tung, N.C. (2007). Applied Research, Assay, Development of a Number of Modules for Monitoring Forest Resource Development and Forest Resource Management, Forest Inventory and Planning Institute.
28. Costa Freitas, M.D.B., Xavier, A., and Fragoso, R. (2017). Integration of Fire Risk in a Sustainable Forest Management Model. Forests, 8.10.3390/f8080270 ↗
29. The Interaction of Wind and Fire10.1007/BF00183958 ↗
30. Gumus, S. (2017). An Evaluation of Stakeholder Perception Differences in Forest Road Assessment Factors Using the Analytic Hierarchy Process (AHP). Forests, 8.10.3390/f8050165 ↗
31. Whitman, E., Parisien, M.-A., Thompson, D.K., and Flannigan, M.D. (2018). Topoedaphic and Forest Controls on Post-Fire Vegetation Assemblies Are Modified by Fire History and Burn Severity in the Northwestern Canadian Boreal Forest. Forests, 9.10.3390/f9030151 ↗
32. Evaluating critical links in early warning systems for natural hazards10.1080/17477891.2011.609877 ↗
33. Experiences from site-specific landslide early warning systems10.5194/nhess-13-2659-2013 ↗
34. Zommers, Z., and Singh, A. (2014). Early warning systems defined. Reducing Disaster: Early Warning Systems for Climate Change, Springer.
35. Stakeholders’ perceptions of the overall effectiveness of early warning systems and risk assessments for weather-related hazards in Africa, the Caribbean and South Asia10.1007/s11069-016-2537-0 ↗
36. Huyen, D.T., and Tuan, V.A. (2018, January 22–25). Applying GIS and multicriteria evaluation in forest fire risk zoning in Son La province, Vietnam. Proceedings of the International Conference on Geo-information Spatial-Infrastructure Development, Hanoi, Vietnam.