Page 179 - Modern Spatiotemporal Geostatistics
P. 179

160      Modern  Spatiotemporal Geostatistics —  Chapter 8




































         Figure  8.9.  Temporal  profiles  of  BMEmode  estimates  (solid  line)  and 90%
               confidence interval  (dashed line) of the water-level  elevation  at selected
               wells  in  the  Equus  Beds  aquifer.  Hard  data  are  shown  by  x's;  soft
               data  of  interval  and  probabilistic  types  are depicted  by error  bars and
               pulse-shaped curves, respectively.

         the  BME  90% confidence intervals  provide an assessment of the  associated es-
         timation  uncertainty.  One  can  see from  these  hydrographs  that  most  wells
         show a decline in the water-level elevation from the  late 1970's to  the  drought
         of  1988-1992.  The  water-level  elevation  reached  its  lowest  level  during  the
         period  1991-1993, followed  by a moderate recovery in  the  following  years.
             BME  also  produces  space/time  conditional  mean estimates of water-level
         elevation which possess high estimation  accuracy and are physically meaningful.
         Figure  8.10  shows the  BMEmean estimates of the water-level elevations during
         the  years  1975  and  1998  (in  feet  above sea level).  The  locations  where hard
         data  points,  interval  soft  data  points,  and  probabilistic  soft  data  points were
         available  during  each  of  the  years  1975  and  1998  are  shown with  triangles,
         circles,  and  stars,  respectively.  In  order  to  construct  the  maps,  water-level
         elevations were estimated  on a 40  x  40  regular grid  covering  the  study  area.
         At  each  space/time  estimation  point,  a  local  neighborhood  of  hard and  soft
         data  points  was  used.  Each  neighborhood  includes  data  points  located  at
         spatial  distances <  4a r  and temporal  lags <  4a T  from  the estimation  point
         (if  a  local  neighborhood  included  too  many  points,  only  the  ten  hard  data
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