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


Statistical algorithms accounting for background density in the detection of UXO target areas at DoD munitions sites
Authors:Brett D Matzke  John E Wilson  John E Hathaway  Brent A Pulsipher
Institution:(1) Pacific Northwest National Laboratory, MSIN K6-08, PO Box 999, Richland, WA, USA
Abstract:Statistically defensible methods are presented for developing geophysical detector sampling plans and analyzing data for munitions response sites where unexploded ordnance (UXO) may exist. Detection methods for identifying areas of elevated anomaly density from background density are shown. Additionally, methods are described which aid in the choice of transect pattern and spacing to assure with degree of confidence that a target area (TA) of specific size, shape, and anomaly density will be identified using the detection methods. Methods for evaluating the sensitivity of designs to variation in certain parameters are also discussed. Methods presented have been incorporated into the Visual Sample Plan (VSP) software (free at ) and demonstrated at multiple sites in the United States. Application examples from actual transect designs and surveys from the previous two years are demonstrated.
Keywords:
本文献已被 SpringerLink 等数据库收录!
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