GIS-based multi-dimensional risk assessment of the grassland fire in northern China |
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| Authors: | Xing-peng Liu Ji-quan Zhang Zhi-jun Tong Yulong Bao |
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| Institution: | 1. College of Urban and Environmental Sciences, Natural Disaster Research Institute, Northeast Normal University, Changchun, 130024, People??s Republic of China
2. Key Laboratory for Vegetation Ecology of Ministry of Education, Northeast Normal University, Changchun, Jilin, 130024, People??s Republic of China
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| Abstract: | This study presents a methodology for risk analysis and assessment to manage grassland fire in northern China based on the Geographical Information Systems from the viewpoints of climatology, geography, disaster science, and environmental science and so on. Using natural disaster and risk assessment theory, a multi-dimensional grassland fire risk index (MGFRI) was proposed by integrating weighted comprehensive method, analytic hierarchy process, and fuzzy gamma method into natural disaster risk index. The developed MGFRI will be an easily understandable tool to manage grassland fire by comparing the risk of regions in the northern China and relative contributions of various factors, for example, hazard, exposure, vulnerability, and management ability. A scale of one to five was derived to measure the risk degree. It shows that 4.4?% of grassland falls in the category of ??very high?? risk, followed by 9.6, 19.1, 60.9, and 5.9?%, respectively, in the categories ??high??, ??middle??, ??low??, and ??very low??. The assessment results show reliability by test. The results in this study are intended to support local, provincial, and national government agencies to: (1) make resource allocation decisions; (2) make high-level planning decisions; and (3) raise public awareness of grassland fire risk, its causes, and ways to manage it. |
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