首页> 外文会议>10th IEEE International Conference on Data Mining Workshops >Mining Spatial Co-occurrence of Drought Events from Climate Data of India
【24h】

Mining Spatial Co-occurrence of Drought Events from Climate Data of India

机译:从印度气候数据中挖掘干旱事件的空间共现

获取原文

摘要

Increasingly in the recent past, the focus on climate change is moving towards the understanding of the occurrence, both in magnitude and frequency, of extreme climatic events like droughts and floods. In this paper, an effort has been made towards identification of spatial co-occurrence of droughts across various subdivisions of India, based on the historical climatological data of the past century. The results show that similarities in the climate forcing factors have a role in spatio-temporal correlation of events. Also, from the results, it is seen that the well-known spatial autocorrelations measures, such as Moran Index, are not sufficient to explain such cooccurrences of events.
机译:在最近的过去,对气候变化的关注越来越转向对干旱和洪水等极端气候事件的发生的程度和频率的理解。本文基于过去一个世纪的历史气候资料,努力确定印度各个分区的干旱空间共生。结果表明,气候强迫因素的相似性在事件的时空相关性中起作用。此外,从结果可以看出,众所周知的空间自相关度量(例如Moran Index)不足以解释事件的这种同时发生。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号