A comparison of forest fire indices for predicting fire risk in contrasting climates in China
文献类型:SCI/SSCI论文
作者 | Yu Q. |
发表日期 | 2014 |
关键词 | Forest fire Fire danger indices Fire risk probability Semiparametric logistic regression boreal forest danger probability california mountains portugal regimes weather region models |
英文摘要 | The relationships between fire danger indices and fire risk have been extensively studied in many regions of the world. This work uses partial effect analysis in semiparametric logistic regression models to assess the nonlinear relationships among location, day, altitude, fire danger indices, normalized difference vegetation index (NDVI), and fire ignition from 1996 to 2008 in four different climatic regions in China. The four regions are North China (NR), Northeast China (NE), Southeast China (SE), and Southwest China (SW). The three main results are as follows: First, different fire danger indices are selected as significant variables dependent on the region. The inter-regional difference could be partially explained by difference in local weather and vegetation conditions. Second, spatial location exerts highly significant effects in all four regions. NDVI values are selected as explained variable for NR, NE, and SE on fire ignitions. On a daily scale, altitude influences fire ignition for NR, SE, and SW. Third, the robustness of the probability models used in NE, SE, and SW is better than that in NR on a daily scale. The semiparametric logistic regression model used in this study is useful for assessing the ability of fire danger indices to estimate probabilities of fire ignition on a daily scale. This study encourages further research on assessing the predictive ability of fire danger indices developed at other temporal and spatial scales in China. |
出处 | Natural Hazards |
卷 | 70 |
期 | 2 |
页 | 1339-1356 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0921-030X |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/29756] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Yu Q.. A comparison of forest fire indices for predicting fire risk in contrasting climates in China. 2014. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。