Abstract

It is important that rebases are available on standby at strategic locations in a nature conservation area from where wildre ignition points can be reached rapidly and such res brought under control before they spread. Two facility location models are proposed in this paper which may form the basis for decision support when deciding on the locations of such rebases in a nature conservation area. Both of these models are multi-objective in nature. They are able to produce solutions that embody trade-o decisions between minimising the cost of locating rebases and maximising the coverage of key areas in a conservation area. These trade-os may be based on a variety of coverage importance criteria, such as aiming to cover terrain portions exhibiting a steep ground slope, terrain portions that experience a high annual mean wind speed, or terrain portions in which many wildres have ignited in the past. The coverage criteria are typically case-specic and may therefore be specied by the decision maker. Both models, as well as their approximate solution methodology, are implemented in the form of a computerised decision support system in order to render them accessible to non-mathematically inclined decision makers. The decision support system is validated by applying it to a special case study involving Table Mountain National Park, a nature conservation area in the Western Cape, South Africa. Key words: Firebase location, nature conservation area, coverage criteria

Highlights

  • A decision support system (DSS) is put forward in this paper which can take geographic information system (GIS) data related to a nature conservation area as input and use these data to suggest an appropriate number of semi-mobile firebases for the effective management of wildfires within the area as well as suitable locations for these bases within the area

  • A final example is the integer goal programming approach adopted by Badri et al [5] to solve their multi-objective model for urban fire station locations in which they considered seven objectives that are conflicting to some degree

  • Let fi be the fixed cost associated with locating a firebase at candidate site i ∈ I and suppose the importance value associated with covering demand point j ∈ J according to criterion k ∈ K is denoted by hjk

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Summary

Introduction

Fynbos covers approximately 6.7 percent of the area of South Africa, and is only found in a wide coastal belt stretching from Clanwilliam on the West Coast to Port Elizabeth on the Southeast Coast. A decision support system (DSS) is put forward in this paper which can take geographic information system (GIS) data related to a nature conservation area as input and use these data to suggest an appropriate number of semi-mobile firebases for the effective management of wildfires within the area as well as suitable locations for these bases within the area. This DSS is based on two multi-objective firebase location models. The working and practical suitability of this DSS is demonstrated by applying it in §6 to a case study involving Table Mountain National Park, a nature conservation area in the Western Cape, South Africa, after which the paper closes in §7 with a brief summary and some ideas for possible future work

Literature review
Mathematical models
Double-counting model
Single-counting model
Approximate solution methodology
Choice of solution methodology
The method of simulated annealing
Parameter tuning
Implementation validation
Decision support system
Design of the system
DSS concept demonstrator
A case study
The park
Input data
Analysis
Numerical results
Findings
Conclusion
Full Text
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