首页> 外文期刊>Communications in Statistics >Underground storage tanks (UST): A closer investigation statistical implications to changing the shape of a UST
【24h】

Underground storage tanks (UST): A closer investigation statistical implications to changing the shape of a UST

机译:地下储罐(UST):对更改UST形状进行更深入的调查统计意义

获取原文
获取原文并翻译 | 示例

摘要

Gasoline service stations that use underground storage tanks (UST) assume that the manufactured tank is an ideal cylindrical shape. This cross-sectional shape plays a crucial role in determining a functional form for the volume of liquid that remains inside the tank. In industry, these formulas are used to compute strapping charts. But realistically, the manufacture, assembly, and installation of a tank may have deviation from the actual tank design (for which strapping charts had been developed). A theoretical volume function (based on tank dimensions) is used alongside of statistical methodology to reconcile volume differences in gasoline dispensed at the pump meters versus that displaced inside the tank. Statistical inventory reconciliation of this nature falls within the family of leak detection methods approved by the EPA (Environmental Protection Agency) and the California Water Resources Board. This methodology can also be used to assess deformation of the cross-sectional shape of the tank. We consider a deformation to an ellipse. Through simulation, we estimate the tank dimensions based on a nonlinear model with normal errors. The use of normal errors naturally facilitates a likelihood ratio test. Through this exploration, an approximation function is developed to help improve the power of the likelihood ratio test.
机译:使用地下储罐(UST)的汽油加油站假定制造的储罐为理想的圆柱形。该横截面形状对于确定罐内剩余液体量的功能形式起着至关重要的作用。在工业上,这些公式用于计算打包图。但实际上,储罐的制造,组装和安装可能会与实际的储罐设计(已制定出捆扎表)有所偏差。将理论体积函数(基于油箱尺寸)与统计方法一起使用,以协调在泵表处分配的汽油与在油箱内排出的汽油之间的体积差异。这种性质的统计清单核对属于EPA(环境保护署)和加利福尼亚州水资源委员会批准的检漏方法系列。该方法还可以用于评估罐的横截面形状的变形。我们考虑椭圆的变形。通过仿真,我们根据具有正常误差的非线性模型估算储罐尺寸。自然误差的使用自然促进了似然比检验。通过这种探索,开发了一种近似函数,以帮助提高似然比检验的功效。

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