Fire hazard modelling in southern Africa

Tatenda T. Chingono; C. Mbohwa

Fire hazard modelling in southern Africa

Tatenda T. Chingono
, C. Mbohwa

Quality and Operations Management

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 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 language	English
Title of host publication	WCECS 2015 - World Congress on Engineering and Computer Science 2015
Editors	Craig Douglas, S. I. Ao, Jon Burgstone, Jon Burgstone, Craig Douglas, Warren S. Grundfest
Publisher	Newswood Limited
Pages	514-519
Number of pages	6
ISBN (Electronic)	9789881925367
Publication status	Published - 2015
Event	2015 World Congress on Engineering and Computer Science, WCECS 2015 - San Francisco, United States Duration: 21 Oct 2015 → 23 Oct 2015

Publication series

Name	Lecture Notes in Engineering and Computer Science
Volume	2219
ISSN (Print)	2078-0958

Conference

Conference	2015 World Congress on Engineering and Computer Science, WCECS 2015
Country/Territory	United States
City	San Francisco
Period	21/10/15 → 23/10/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

DMP
Fire hazard
NDVI
Prediction

ASJC Scopus subject areas

Computer Science (miscellaneous)

Cite this

@inproceedings{f6db0cc71af04236b64940a3b9f65031,

title = "Fire hazard modelling in southern Africa",

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.",

keywords = "DMP, Fire hazard, NDVI, Prediction",

author = "Chingono, \{Tatenda T.\} and C. Mbohwa",

year = "2015",

language = "English",

series = "Lecture Notes in Engineering and Computer Science",

publisher = "Newswood Limited",

pages = "514--519",

editor = "Craig Douglas and Ao, \{S. I.\} and Jon Burgstone and Jon Burgstone and Craig Douglas and Grundfest, \{Warren S.\}",

booktitle = "WCECS 2015 - World Congress on Engineering and Computer Science 2015",

note = "2015 World Congress on Engineering and Computer Science, WCECS 2015 ; Conference date: 21-10-2015 Through 23-10-2015",

}

Chingono, TT & Mbohwa, C 2015, Fire hazard modelling in southern Africa. in C Douglas, SI Ao, J Burgstone, J Burgstone, C Douglas & WS Grundfest (eds), WCECS 2015 - World Congress on Engineering and Computer Science 2015. Lecture Notes in Engineering and Computer Science, vol. 2219, Newswood Limited, pp. 514-519, 2015 World Congress on Engineering and Computer Science, WCECS 2015, San Francisco, United States, 21/10/15.

Fire hazard modelling in southern Africa. / Chingono, Tatenda T.; Mbohwa, C.
WCECS 2015 - World Congress on Engineering and Computer Science 2015. ed. / Craig Douglas; S. I. Ao; Jon Burgstone; Jon Burgstone; Craig Douglas; Warren S. Grundfest. Newswood Limited, 2015. p. 514-519 (Lecture Notes in Engineering and Computer Science; Vol. 2219).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fire hazard modelling in southern Africa

AU - Chingono, Tatenda T.

AU - Mbohwa, C.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - DMP

KW - Fire hazard

KW - NDVI

KW - Prediction

UR - https://www.scopus.com/pages/publications/84992677278

M3 - Conference contribution

AN - SCOPUS:84992677278

T3 - Lecture Notes in Engineering and Computer Science

SP - 514

EP - 519

BT - WCECS 2015 - World Congress on Engineering and Computer Science 2015

A2 - Douglas, Craig

A2 - Ao, S. I.

A2 - Burgstone, Jon

A2 - Douglas, Craig

A2 - Grundfest, Warren S.

PB - Newswood Limited

T2 - 2015 World Congress on Engineering and Computer Science, WCECS 2015

Y2 - 21 October 2015 through 23 October 2015

ER -

Fire hazard modelling in southern Africa

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this