Improving Cost Effectiveness in Soil Pollution Research

Autor: J. P. Okx
Rok vydání: 1990
Předmět:
Zdroj: Contaminated Soil ’90 ISBN: 9789401054430
DOI: 10.1007/978-94-011-3270-1_159
Popis: Soil pollution research and associated clean up operations are costly. To assure maximum cost effectiveness optimalization of the sampling scheme is necessary. The design of optimal sampling schemes has been described by many authors. Singer (1972) has developed the program ELIPGRID to calculate the probability of success in locating ‘hot spots’ with square, rectangular and hexagonal grids. This program is used by Zirschky and Gilbert (1985) to develop nomographs (Figure 1) in order to get easily accessible information about the estimated success in terms of the remaining ‘consumer’s risk’ of a chosen sampling scheme. In this paper it is shown that just a few modifications of the program and the resulting nomographs are needed to obtain information on the cost effectiveness of intensifying sampling.
Databáze: OpenAIRE