课题基金 / 基金详情

RIA: Development of a System Identification Methodology for Hazardous Waste Site

RIA: Development of a System Identification Methodology for Hazardous Waste Site
RIA:危险废物场系统识别方法的开发
批准号:
9408318
负责人:
Priyantha Jayawickrama
金额:
$9.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-07-01 至 1998-06-30

项目摘要

项目成果

Priyantha Jayawickrama的其他基金

相似基金

相关文献

中文摘要
翻译
本研究的目的是应用系统识别方法(SID)的概念来优化现有监测井数据的使用,并提高用于危险废物场地表征的现场信息的可靠性。SID方法虽然在许多其他工程领域得到了成功的应用,但在岩土工程和地质环境工程中却从未得到应用。该方法包括通过观察系统对已知刺激或输入的反应来研究未知系统的特性。在本研究中,未知系统为污染场地。描述系统实际行为的数据将采用现场污染物传播的现有监测井数据的形式。* * *
英文摘要
9408318 Jayawickrama The objective of this research is to apply the concept of System Identification Method (SID) to optimize the use of existing monitoring well data and to improve the reliability of the site information used in the characterization of hazardous waste sites. The SID method which has been successfully employed in many other branches of engineering has never been used in geotechnical and geo-environmental engineering applications. The method involves the study of the characteristics of an unknown system by observing how the system responds to a known stimulus or input.In the proposed research, the unknown system will be the contaminated site. Data describing the actual system behavior will be in the form of existing monitoring well data on contaminant propagation within the site. ***
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
I-Corps: Next Generation Polymeric Stabilizer: Stabilization of Soil with High Shrink/Swell Potential
  • 批准号:
    1844834
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2018
  • 负责人:
    Priyantha Jayawickrama
  • 依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: