首页 | 本学科首页   官方微博 | 高级检索  
     检索      


SPACE-TIME MODELING OF VECTOR HYDROLOGIC SEQUENCES1
Authors:Stuart Jay Deutsch  Jose A Ramos
Abstract:Stochastic modeling of vector hydrologic sequences is examined with a general class of space-time autoregressive integrated moving average (STARIMA) models. The models describe spatial and temporal autocorrelatjon, through dependent variables lagged both in space and time. The model structures incorporate a hierarchical ordering scheme to map the vector of observations into a network configuration. The neighboring structure used introduces a physical/geographical hierarchy to enable the model identification procedures to assist in determining appropriate correlative relationships. The three-stage iterative space-time model building procedure is illustrated using average monthly streamfiow data for a four-station network of the Southeastern Hydropower System.
Keywords:space-time modeling  hydrologic sequences  identification  networks  STARIMA model building
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号