Accession Number : ADA293830

Title :   Spatial Time-Series: Pollution Pattern Recognition under Irregular Interventions.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Wright, Samuel A.

PDF Url : ADA293830

Report Date : MAR 1995

Pagination or Media Count : 191

Abstract : The Fernald Environmental Restoration Management Corporation (FERMCO) has noted the introduction of arsenic contamination to groundwater around the area of the groundwater recovery system, which captures uranium contaminated groundwater. The introduction of arsenic occurs during high levels of pumping and is particularly sensitive to the western two of the five pumps. Auto-Regressive Moving Average (ARMA) and Spatial-Temporal ARMA (STARMA) empirical analyses are used to model the level of arsenic contamination found through time. The intervention of varied levels of pumping is modeled with a transfer function using analytic techniques to create a causal intervention transfer function input series to give physical meaning to the impulse response weights found. Spatial weights employed in the STARMA modeling are also created using analytic, causal methods. Results suggest a physical interpretation of the relationship between a particular level of pumping and the amount of arsenic to be found at the site in the temporal case, while including the effect of the pumping on a site of interest's neighbors in the spatial-temporal case. Models presented may be employed in the forecasting of arsenic levels at monitoring well sites due to a given change in the operation level of the groundwater recovery system. (AN)

Descriptors :   *MATHEMATICAL MODELS, *WATER POLLUTION, *ARSENIC, DATA BASES, ALGORITHMS, STEADY STATE, SPATIAL DISTRIBUTION, WATER FLOW, TRANSFER FUNCTIONS, CHEMICAL CONTAMINATION, MONITORING, COMPARISON, TIME SERIES ANALYSIS, AUTOCORRELATION, ANALYSIS OF VARIANCE, THESES, MATHEMATICAL PROGRAMMING, FORTRAN, GROUND WATER, MATHEMATICAL PREDICTION, CONCENTRATION(COMPOSITION), PATTERN RECOGNITION, SITE INVESTIGATIONS, URANIUM, WATER WELLS, PUMPING.

Subject Categories : Water Pollution and Control
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE