Application of intrawell testing of RCRA groundwater monitoring data when no upgradient well exists

被引:3
|
作者
Chou, CJ [1 ]
O'Brien, RF [1 ]
Barnett, DB [1 ]
机构
[1] Pacific NW Natl Lab, Richland, WA 99352 USA
关键词
combined Shewhart-CUSUM control chart; groundwater monitoring; RCRA;
D O I
10.1023/A:1011647913366
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A statistical quality control approach to detect changes in groundwater quality from a regulated waste unit is described. The approach applies the combined Shewhart-CUSUM control chart methodology for intrawell comparison of analyte concentrations over time and does not require an upgradient well. A case study from the U.S. Department of Energy's Hanford Site is used for illustration purposes. This method is broadly applicable in groundwater monitoring programs where there is no clearly defined upgradient location, the groundwater flow rate is exceptionally slow, or where a high degree of spatial variability exists in parameter concentrations. This study also indicates that the use of the Data Quality Objectives (DQO) process can assist in designing an efficient and cost-effective groundwater monitoring plan to achieve the optimum goal of both low false positive and low false negative rates (high power).
引用
收藏
页码:91 / 106
页数:16
相关论文
共 28 条
  • [21] Measurement error associated with performance testing in well-trained cyclists: Application to the precision of monitoring changes in training status
    Lamberts, Robert P.
    Swart, Jeroen
    Woolrich, Richard W.
    Noakes, Timothy D.
    Lambert, Michael I.
    INTERNATIONAL SPORTMED JOURNAL, 2009, 10 (01) : 33 - 44
  • [22] Testing HYSPLIT Plume Dispersion Model Performance Using Regional Hydrocarbon Monitoring Data during a Gas Well Blowout
    Schade, Gunnar W.
    Gregg, Mitchell L.
    ATMOSPHERE, 2022, 13 (03)
  • [23] Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring
    Matabuena, Marcos
    Felix, Paulo
    Ditzhaus, Marc
    Vidal, Juan
    Gude, Francisco
    AMERICAN STATISTICIAN, 2023, 77 (04): : 357 - 369
  • [24] Application of the long short-term memory networks for well-testing data interpretation in tight reservoirs
    Wang, Shuhua
    Chen, Shengnan
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 183
  • [25] Groundwater depletion intensified by irrigation and afforestation in the Yellow River Basin: A spatiotemporal analysis using GRACE and well monitoring data with implications for sustainable management
    Guo, Shuitao
    Yao, Yingying
    Ji, Qiang
    Jin, Huijun
    Wang, Taihua
    Lancia, Michele
    Meng, Xianhong
    Zheng, Chunmiao
    Yang, Dawen
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2025, 59
  • [26] Well-Performance Monitoring (WPM): Creating Added Value From Raw Data and Application to the Girassol Deepwater-Field Case
    Khan, F.
    Goujard, V.
    Tincelin, P.H.
    Tison, M.
    Foucault, H.
    Kessler, N.
    SPE Economics and Management, 2012, 4 (03): : 182 - 189
  • [27] A Brillouin smart FRP material and a strain data post processing software for structural health monitoring through laboratory testing and field application on a highway bridge
    Bastianini, F
    Matta, F
    Galati, N
    Nanni, A
    SMART STRUCTURES AND MATERIALS 2005: SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE, PTS 1 AND 2, 2005, 5765 : 600 - 611
  • [28] Testing the usefulness of 222Rn to complement conventional hydrochemical data to trace groundwater provenance in complex multi-layered aquifers. Application to the Ubeda aquifer system (Jaen, SE Spain)
    Ortega, L.
    Manzano, M.
    Rodriguez-Arevalo, J.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 599 : 2105 - 2120