Cha DongHwan, Wang Xin, Kim Jeong Woo
Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N1N4, Canada.
Sensors (Basel). 2017 Oct 23;17(10):2413. doi: 10.3390/s17102413.
Hotspot analysis was implemented to find regions in the province of Alberta (Canada) with high frequency Cloud to Ground (CG) lightning strikes clustered together. Generally, hotspot regions are located in the central, central east, and south central regions of the study region. About 94% of annual lightning occurred during warm months (June to August) and the daily lightning frequency was influenced by the diurnal heating cycle. The association rule mining technique was used to investigate frequent CG lightning patterns, which were verified by similarity measurement to check the patterns' consistency. The similarity coefficient values indicated that there were high correlations throughout the entire study period. Most wildfires (about 93%) in Alberta occurred in forests, wetland forests, and wetland shrub areas. It was also found that lightning and wildfires occur in two distinct areas: frequent wildfire regions with a high frequency of lightning, and frequent wild-fire regions with a low frequency of lightning. Further, the preference index (PI) revealed locations where the wildfires occurred more frequently than in other class regions. The wildfire hazard area was estimated with the CG lightning hazard map and specific land use types.
实施热点分析以找出加拿大艾伯塔省云地（CG）闪电袭击频率高且集中的区域。一般来说，热点区域位于研究区域的中部、中东部和中南部地区。约94%的年度闪电发生在温暖月份（6月至8月），日闪电频率受昼夜加热周期影响。关联规则挖掘技术用于研究频繁出现的CG闪电模式，并通过相似度测量进行验证以检查模式的一致性。相似度系数值表明在整个研究期间存在高度相关性。艾伯塔省的大多数野火（约93%）发生在森林、湿地森林和湿地灌木地区。还发现闪电和野火发生在两个不同的区域：闪电频率高的频繁野火区域和闪电频率低的频繁野火区域。此外，偏好指数（PI）揭示了野火发生比其他类别区域更频繁的地点。利用CG闪电危险地图和特定土地利用类型估计了野火危险区域。
