Record Display for the EPA National Library Catalog

RECORD NUMBER: 21 OF 31

Main Title Natural Resource Systems Models in Decision Making.
Author Toebe, Gerrit H. ;
CORP Author Purdue Univ., Lafayette, Ind. Water Resources Research Center.
Year Published 1969
Report Number OWRR-A-999-IND; 03855,; A-999-IND(4)
Stock Number PB-197 111
Additional Subjects ( Water resources ; Systems analysis) ; ( Regional planning ; Water pollution) ; ( Air pollution ; Regional planning) ; ( Natural resources ; Systems analysis) ; Meetings ; Management planning ; Law(Jurisprudence) ; Political systems ; Decision making ; Cost estimates ; Sewage treatment ; Computer programming ; Urban planning ; River basins ; Food processing ; Electric power plants ; Water pollution control ; Air pollution control
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Status
NTIS  PB-197 111 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 251p
Abstract
The text of the publication is based on a series of lectures given for the 1969 water resources seminar at Purdue University. The invited speakers were asked to present their material on a selected theme in an introductory manner with discussion following the formal presentation. The dialogues which ensued in the seminar are not given; however, the lectures are presented in the publication. The first paper, is a concise introduction to systems analysis in natural resources management and its relation to the decision making process. The subsequent chapters are arranged according to a visualized hierarchy of systems. The emphasis on the papers II through VII is on the physical system and questions about its modeling, optimization and output evaluation. The paper VIII and IX take up questions in the economic system that is regarded as the environment of the physical system. The papers X through XIII emphasize components in the legal-political system representing the environment of the economic system. Taken together, the material makes for meaningful supplementary reading to the more formal course work in natural resource systems analysis that students are electing in increasing number. (WRSIC abstract)