Record Display for the EPA National Library Catalog


Main Title New sampling theory for measuring ecosystem structure /
Author Mulholland, Robert J.,
CORP Author Oklahoma State Univ., Stillwater. School of Electrical Engineering.;Environmental Research Lab., Athens, GA.
Publisher Environmental Protection Agency, Office of Research and Development, Environmental Research Laboratory,
Year Published 1978
Report Number EPA-600/3-78-104; PB-290566; EPA-R-805564010
Stock Number PB-290 566
OCLC Number 04675657
ISBN pbk.
Subjects System analysis ; Mathematical models ; Microcosm and macrocosm ; systems analysis
Additional Subjects Laboratories ; Ecology ; Mathematical models ; Sampling ; Systems analysis ; Experimental design ; Errors ; Linear systems ; Theorems ; Computer programming ; Statistical analysis ; Matrices(Mathematics) ; Fortran ; Eigenvectors ; Ecosystems ; Microcosms ; IBM-370 computers
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD  EPA 600-3-78-104 Headquarters Library/Washington,DC 03/08/2016
EKCD  EPA-600/3-78-104 CEMM/GEMMD Library/Gulf Breeze,FL 06/26/2018
ELBD ARCHIVE EPA 600-3-78-104 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
EMBD MF PB290-566 NRMRL/GWERD Library/Ada,OK 01/21/1994
ERAD  EPA 600/3-78-104 Region 9 Library/San Francisco,CA 10/22/2012
ESAD  EPA 600-3-78-104 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB-290 566 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation viii, 58 pages : illustrations ; 28 cm.
This research considered the application of systems analysis to the study of laboratory ecosystems. The work concerned the development of a methodology which was shown to be useful in the design of laboratory experiments, the processing and interpretation of the results of these experiments, the development of model structures for microcosms based upon experimental data, the testing of the predictive capabilities of evaluative models, and the analysis of measurement errors in the presence of noise. Development of the experimental design methodology was based upon a non-Nyquist sampling theory which gave a priori computable bounds on the sample period for data collection. Results of the research project included a definition for the bandwidth of an ecosystem in the frequency domain, an indication of the effect of measurement noise on the sample period for data acquisition, a scheme for reducing this noise, and a computer code for model identification based upon the experimental design developed. The project also produced the conditions under which two new schemes for model identification were applicable to the construction of linear compartment models.
School of Electrical Engineering, Oklahoma State University. Grant no. "December 1978." Includes bibliographical references.