A comparison of spatial interpolation methods and a fuzzy areal evaluation scheme in environmental site characterization
Özdamar, L. | Demirhan, M. | Özpinar, A.
Article | 1999 | Computers, Environment and Urban Systems23 ( 5 ) , pp.399 - 422
This study aims to evaluate various well-known spatial interpolation methods used in identifying hot-spots during site investigations on brownfields. Before any reclamation is carried out zones within a site with contaminant levels above the threshold limits should be identified correctly with minimum reclamation costs. The latter implies that all contaminated areas are to be determined while minimizing the space claimed for reclamation. In other words, clean areas should not be declared as contaminated. This issue is crucial both with respect to minimizing health hazards in human use after reclamation and also with respect to minim . . .izing reclamation costs. Here, we conduct a numerical survey on the performance of spatial interpolation techniques on 360 hypothetical sites which are generated according to a given experimental design. The effects of the number of non-overlapping hot-spots in a site, the percentage of the area contaminated, and the effects of the sampling pattern are observed during the experimentation. Furthermore, as an alternative site evaluation scheme, we propose a new fuzzy areal site assessment scheme (FASA) which is independent of the assumptions implied by spatial statistics and compare its performance with those of spatial interpolation methods.This study aims to evaluate various well-known spatial interpolation methods used in identifying hot-spots during site investigations on brownfields. Before any reclamation is carried out zones within a site with contaminant levels above the threshold limits should be identified correctly with minimum reclamation costs. The latter implies that all contaminated areas are to be determined while minimizing the space claimed for reclamation. In other words, clean areas should not be declared as contaminated. This issue is crucial both with respect to minimizing health hazards in human use after reclamation and also with respect to minimizing reclamation costs. Here, we conduct a numerical survey on the performance of spatial interpolation techniques on 360 hypothetical sites which are generated according to a given experimental design. The effects of the number of non-overlapping hot-spots in a site, the percentage of the area contaminated, and the effects of the sampling pattern are observed during the experimentation. Furthermore, as an alternative site evaluation scheme, we propose a new fuzzy areal site assessment scheme (FASA) which is independent of the assumptions implied by spatial statistics and compare its performance with those of spatial interpolation methods
Daha fazlası
Daha az