Spatio-temporally Statistical Modeling of Precipitation Data for Flood Forecast

摘要：

Flood is one kind of unexpected and the most common natural disasters, which is affected by many factors and has complex mechanism. Although there is still no mature theory and method used for the long-term forecast of natural precipitation at present, spatio-temporally statistical models that consider the influence of both temporal and spatial variability are presented and developed by in service oriented architecture (SOA) for making prediction of Yellow River.

关键词： Statistical Model Flood Forecast Precipitation Data Service Oriented Architecture

作者: SU Ying JIN Zhanming PENG Gongqian LI Xia

作者单位: Center for Resource Sharing Promotion, Institute of Scientific and Technical Information, No.15 Fu X Department of Business Strategy and Policy, School of Economics and Management, Tsinghua University, Center for Resource Sharing Promotion, Institute of Scientific and Technical Information, No.15 Fu X

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-7

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）