Fire hazard modelling in southern Africa

Tatenda T. Chingono, C. Mbohwa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this study, we analyzed fire occurrences in Southern Africa using point pattern analysis methods. The intensity of events varied vary across the region, events interacted across the region. The intensity plot showed that events are more concentrated at latitude -12.00 and longitude 35.00. Ripley's k-function revealed that events are clustered up to a distance of 14 km. We tested hypothesis that Higher amounts of dry mass productivity (DMP) and the normalized difference vegetation index (NDVI) result in more fire occurrences and more biomass burning, we also hypothesized that dry woodlands in savannah ecosystems result in more fire occurrences as compared to other land cover types in MaxEnt. Results showed DMP, NDVI and land cover types can be used to model Are occurrences with an ACU of 0,760.It also showed that as DMP and NDVI increased fire occurrence probability also increased. More fires are concentrated (0.79) in crop land with woody vegetation and closed grass land cover types. All the countries in Southern Africa have a high fire risky.

Original languageEnglish
Title of host publicationWCECS 2015 - World Congress on Engineering and Computer Science 2015
EditorsCraig Douglas, S. I. Ao, Jon Burgstone, Jon Burgstone, Craig Douglas, Warren S. Grundfest
PublisherNewswood Limited
Pages514-519
Number of pages6
ISBN (Electronic)9789881925367
Publication statusPublished - 2015
Event2015 World Congress on Engineering and Computer Science, WCECS 2015 - San Francisco, United States
Duration: 21 Oct 201523 Oct 2015

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2219
ISSN (Print)2078-0958

Conference

Conference2015 World Congress on Engineering and Computer Science, WCECS 2015
Country/TerritoryUnited States
CitySan Francisco
Period21/10/1523/10/15

Keywords

  • DMP
  • Fire hazard
  • NDVI
  • Prediction

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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