摘要

The incidences of forest fires that negatively impact the forest ecosystems, biodiversity, air quality and the soil structure can be reduced through the effective disaster management by developing an accurate early warning system. This study was focused on the mapping of the potential areas of forest fire occurrences through a WebGIS application that can relay information to the interested users. The geospatial technology and mathematical modeling were utilized to identify, classify and map the potential forest areas that are prone to fire. The analytical hierarchy process (AHP) model and the geospatial technology that consist of remote sensing, geographical information system (GIS) and digital observed field data were utilised for the state of Selangor. AHP is a technique that models a decision, which in this study includes an overall objective of finding a forest area which has the potential of forest fire occurring. Three criteria such as fuel, topography and human factors were selected to build a hierarchical structure and a weight was given to each criterion. The hierarchy was then analysed through a series of pairwise comparisons that is processed mathematically and priority is given to the highest ranking to achieve the desired result. The expert's opinions were obtained from the firemen of the Malaysian Fire and Rescue Department who were directly involved with the forest fire operations. The result from this study showed that 65% of the area in Selangor has a potentially low fire occurrence, while 32.83 km(2) of extremely high risk fire areas were found in places such as Bestari Jaya, Ulu Tinggi and Kuala Langat. The information displayed through the WebGIS application is one of the best ways to assist the relevant authorities make an informed decision with a high confidence as it represents an almost real situation. The various agencies involved with the disaster management operations such as the disaster committees at the district, state and federal levels and the Malaysian Fire and Rescue Department may utilise this output as a tool to alleviate the future risk of forest fires.

  • 出版日期2013-5