标准详细信息 去购物车结算

【国外标准】 Standard Practice for Detecting Hot Spots Using Point-Net (Grid) Search Patterns

本网站 发布时间: 2024-02-28
开通会员免费在线看70000余条国内标准,赠送文本下载次数,单本最低仅合13.3元!还可享标准出版进度查询、定制跟踪推送、标准查新等超多特权!   查看详情>>
标准简介标准简介

适用范围:

4.1 Search sampling strategies have found wide utility in geologic exploration where drilling is required to detect subsurface mineral deposits, such as when drilling for oil and gas. Using such strategies to search for buried wastes and subsurface contaminants, including volatile organic compounds, is a logical extension of these strategies.4.2 Systematic sampling strategies are often the most cost-effective method for searching for hot spots.4.3 This practice may be used to determine the risk of missing a hot spot of specified size and shape given a specified sampling pattern and sampling density.4.4 This practice may be used to determine the smallest hot spot that can be detected with a specified probability and given sampling density.4.5 This practice may be used to select the optimum grid sampling strategy (that is, sampling pattern and density) for a specified risk of not detecting a hot spot.4.6 By using the algorithms given in this practice, one can balance the cost of sampling versus the risk of missing a hot spot.4.7 Search sampling patterns may also be used to optimize the locations of additional groundwater monitoring wells or vadose zone monitoring devices.1.1 This practice provides equations and nomographs, and a reference to a computer program, for calculating probabilities of detecting hot spots (that is, localized areas of soil or groundwater contamination) using point-net (that is, grid) search patterns. Hot spots, more generally referred to as targets, are presumed to be invisible on the ground surface. Hot spots may include former surface impoundments and waste disposal pits, as well as contaminant plumes in groundwater or the vadose zone.1.2 For purposes of calculating detection probabilities, hot spots or buried contaminants are presumed to be elliptically shaped when projected vertically to the ground surface, and search patterns are square, rectangular, or rhombic. Assumptions about the size and shape of suspected hot spots are the primary limitations of this practice, and must be judged by historical information. A further limitation is that hot spot boundaries are usually not clear and distinct.1.3 In general, this practice should not be used in lieu of surface geophysical methods for detecting buried objects, including underground utilities, where such buried objects can be detected by these methods (see Guide D6429).1.4 Search sampling would normally be conducted during preliminary investigations of hazardous waste sites or hazardous waste management facilities (see Guide D5730). Sampling may be conducted by drilling or by direct-push methods. In contrast, guidance on sampling for the purpose of making statistical inferences about population characteristics (for example, contaminant concentrations) can be found in Guide D6311.1.5 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.1.6 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

基本信息

  • 标准号:

    ASTM D6982-22

  • 标准名称:

    Standard Practice for Detecting Hot Spots Using Point-Net (Grid) Search Patterns

  • 英文名称:

    Standard Practice for Detecting Hot Spots Using Point-Net (Grid) Search Patterns
  • 标准状态:

    Active
  • 发布日期:

  • 实施日期:

  • 出版语种:

标准分类号

  • 标准ICS号:

    13.020.99
  • 中标分类号:

关联标准

  • 替代以下标准:

  • 被以下标准替代:

  • 引用标准:

  • 采用标准:

出版信息

  • 页数:

    8 页
  • 字数:

  • 开本:

其他信息

  • 起草人:

  • 起草单位:

  • 归口单位:

    D34.01.01
  • 提出部门:

  • 发布部门:

  • 推荐标准
Baidu
map