IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v105y2021i2d10.1007_s11069-020-04351-8.html
   My bibliography  Save this article

GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques

Author

Listed:
  • Anuj Tiwari

    (Indian Institute of Technology)

  • Mohammad Shoab

    (Shaqra University)

  • Abhilasha Dixit

    (Indian Institute of Technology)

Abstract

This study performs a comparative evaluation of Frequency Ratio (FR), Analytic Hierarchy Process (AHP), and Fuzzy AHP (FAHP) modeling techniques for forest fire susceptibility mapping in Pauri Garhwal, Uttarakhand, India. Locations of past forest fire events reported from November 2002 to July 2019 were collected from the Uttarakhand Forest Department and Forest Survey of India and combined with the ground observations obtained from the manual survey. Then, the locations were categorized into two groups of 70% (10,500 locations) and 30% (4500 locations), randomly, for training and validation purposes, respectively. Forest fire susceptibility mapping was performed on the basis of fourteen different topographic, biological, human-induced and climatic criteria such as Digital Elevation Model, Slope, Aspect, Curvature, Normalized Difference Vegetation Index, Normalized Difference Moisture Index, Topographic Wetness Index, Soil, Distance to Settlement, Distance to Road, Distance to Drainage, Rainfall, Temperature, and Wind Speed. The Receiver Operating Characteristic curve and the Area Under the Curve (AUC) were implemented for validation of the three achieved Forest Fire Susceptibility Maps. The AUC plot evaluation revealed that FAHP has a maximum prediction accuracy of 83.47%, followed by AHP (81.75%) and FR (77.21%). Thus, the map produced by FAHP exhibits the most satisfactory properties. Results and findings of this study will help in developing more efficient fire management strategies in both the open and the protected forest areas (Rajaji and Jim Corbett National Park) of the district.

Suggested Citation

  • Anuj Tiwari & Mohammad Shoab & Abhilasha Dixit, 2021. "GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1189-1230, January.
    • Handle: RePEc:spr:nathaz:v:105:y:2021:i:2:d:10.1007_s11069-020-04351-8
    DOI: 10.1007/s11069-020-04351-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04351-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-020-04351-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Satiprasad Sahoo & Selva Balaji Munusamy & Anirban Dhar & Amlanjyoti Kar & Prahlad Ram, 2017. "Appraising the Accuracy of Multi-Class Frequency Ratio and Weights of Evidence Method for Delineation of Regional Groundwater Potential Zones in Canal Command System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4399-4413, November.
    2. M. D. Flannigan & B. M. Wotton & G. A. Marshall & W. J. de Groot & J. Johnston & N. Jurko & A. S. Cantin, 2016. "Fuel moisture sensitivity to temperature and precipitation: climate change implications," Climatic Change, Springer, vol. 134(1), pages 59-71, January.
    3. Gaither, Cassandra Johnson & Poudyal, Neelam C. & Goodrick, Scott & Bowker, J.M. & Malone, Sparkle & Gan, Jianbang, 2011. "Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach," Forest Policy and Economics, Elsevier, vol. 13(1), pages 24-36, January.
    4. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    5. M. Flannigan & B. Wotton & G. Marshall & W. de Groot & J. Johnston & N. Jurko & A. Cantin, 2016. "Fuel moisture sensitivity to temperature and precipitation: climate change implications," Climatic Change, Springer, vol. 134(1), pages 59-71, January.
    6. Demir, Murat, 2007. "Impacts, management and functional planning criterion of forest road network system in Turkey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(1), pages 56-68, January.
    7. Sumeet Gairola & C. M. Sharma & S. K. Ghildiyal & Sarvesh Suyal, 2012. "Chemical properties of soils in relation to forest composition in moist temperate valley slopes of Garhwal Himalaya, India," Environment Systems and Decisions, Springer, vol. 32(4), pages 512-523, December.
    8. Denis Bouyssou & Thierry Marchant & Marc Pirlot & Alexis Tsoukiàs & Philippe Vincke, 2006. "Evaluation and Decision Models with Multiple Criteria," International Series in Operations Research and Management Science, Springer, number 978-0-387-31099-2, September.
    9. Hamed Adab & Kasturi Kanniah & Karim Solaimani, 2013. "Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1723-1743, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdel Rahman Al-Shabeeb & Ibraheem Hamdan & Sedigheh Meimandi Parizi & A’kif Al-Fugara & Sana’a Odat & Ismail Elkhrachy & Tongxin Hu & Saad Sh. Sammen, 2023. "A Comparative Study of Genetic Algorithm-Based Ensemble Models and Knowledge-Based Models for Wildfire Susceptibility Mapping," Sustainability, MDPI, vol. 15(21), pages 1-25, November.
    2. Hazem Ghassan Abdo & Hussein Almohamad & Ahmed Abdullah Al Dughairi & Motirh Al-Mutiry, 2022. "GIS-Based Frequency Ratio and Analytic Hierarchy Process for Forest Fire Susceptibility Mapping in the Western Region of Syria," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    3. Yucel Gulluce, 2021. "A LabVIEW-based fire monitoring software using multi-criteria AHP approach for detecting geolocation of wildfire," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(2), pages 1849-1876, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali Akbar JAFARZADEH & Ali MAHDAVI & Heydar JAFARZADEH, 2017. "Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(8), pages 370-380.
    2. April M. Melvin & Jessica Murray & Brent Boehlert & Jeremy A. Martinich & Lisa Rennels & T. Scott Rupp, 2017. "Estimating wildfire response costs in Alaska’s changing climate," Climatic Change, Springer, vol. 141(4), pages 783-795, April.
    3. Khakzad, Nima, 2019. "Modeling wildfire spread in wildland-industrial interfaces using dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 165-176.
    4. Megan C. Kirchmeier-Young & Francis W. Zwiers & Nathan P. Gillett & Alex J. Cannon, 2017. "Attributing extreme fire risk in Western Canada to human emissions," Climatic Change, Springer, vol. 144(2), pages 365-379, September.
    5. Nobel, Anne & Lizin, Sebastien & Witters, Nele & Rineau, Francois & Malina, Robert, 2020. "The impact of wildfires on the recreational value of heathland: A discrete factor approach with adjustment for on-site sampling," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    6. Aydin Azizi, 2018. "Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
    7. Khannoussi, Arwa & Meyer, Patrick & Chaubet, Aurore, 2023. "A multi-criteria decision aiding approach for upgrading public sewerage systems and its application to the city of Brest," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    8. Paredes-Frigolett, Harold, 2016. "Modeling the effect of responsible research and innovation in quadruple helix innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 126-133.
    9. Nitidetch Koohathongsumrit & Pongchanun Luangpaiboon, 2022. "An integrated FAHP–ZODP approach for strategic marketing information system project selection," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1792-1809, September.
    10. Dias, Luis C. & Lamboray, Claude, 2010. "Extensions of the prudence principle to exploit a valued outranking relation," European Journal of Operational Research, Elsevier, vol. 201(3), pages 828-837, March.
    11. Hsin-Chieh Wu & Toly Chen & Chin-Hau Huang, 2020. "A Piecewise Linear FGM Approach for Efficient and Accurate FAHP Analysis: Smart Backpack Design as an Example," Mathematics, MDPI, vol. 8(8), pages 1-18, August.
    12. Grošelj, Petra & Hodges, Donald G. & Zadnik Stirn, Lidija, 2016. "Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia," Forest Policy and Economics, Elsevier, vol. 71(C), pages 80-86.
    13. Eduardo Fernández & Claudia Gómez-Santillán & Nelson Rangel-Valdez & Laura Cruz-Reyes, 2022. "Group Multi-Objective Optimization Under Imprecision and Uncertainty Using a Novel Interval Outranking Approach," Group Decision and Negotiation, Springer, vol. 31(5), pages 945-994, October.
    14. Weiliang Qiao & Yu Liu & Xiaoxue Ma & Yang Liu, 2020. "Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 957-980, May.
    15. Benjamin Lev, 2006. "Book Reviews," Interfaces, INFORMS, vol. 36(6), pages 608-615, December.
    16. Mohamed Hanine & Omar Boutkhoum & Abderrafie El Maknissi & Abdessadek Tikniouine & Tarik Agouti, 2016. "Decision making under uncertainty using PEES–fuzzy AHP–fuzzy TOPSIS methodology for landfill location selection," Environment Systems and Decisions, Springer, vol. 36(4), pages 351-367, December.
    17. Hernandez-Perdomo, Elvis A. & Mun, Johnathan & Rocco S., Claudio M., 2017. "Active management in state-owned energy companies: Integrating a real options approach into multicriteria analysis to make companies sustainable," Applied Energy, Elsevier, vol. 195(C), pages 487-502.
    18. Khaled Belahcène & Vincent Mousseau & Wassila Ouerdane & Marc Pirlot & Olivier Sobrie, 2023. "Multiple criteria sorting models and methods—Part I: survey of the literature," 4OR, Springer, vol. 21(1), pages 1-46, March.
    19. Shruti Sachdeva & Tarunpreet Bhatia & A. K. Verma, 2018. "GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1399-1418, July.
    20. Željko Stević & Dragan Pamučar & Marko Subotić & Jurgita Antuchevičiene & Edmundas Kazimieras Zavadskas, 2018. "The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator," Sustainability, MDPI, vol. 10(8), pages 1-27, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:105:y:2021:i:2:d:10.1007_s11069-020-04351-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.