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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/3015 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3015 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/3015 archive 351 disk0/00/00/29/73 2016-01-15 01:57:53 2021-08-27 17:12:59 2016-01-15 01:57:53 monograph show 2 Batterman S. AL0019 pub iis_met iis_sys iis_mod iis_env prog_aci Emission abatement strategies which are targeted on environmental goals may provide cost-effective alternatives to flat-rate, source-oriented policies. It is not a trivial matter, however, to develop targeted strategies. Such strategies may require the numerical optimization involving large numbers of variables and constraints. These problems demand large computer resources. Moreover, the optimization process itself is likely to be obscure for all but the most technically competent decision-makers. In this paper, several techniques are presented which identify the receptors locations which influence the outcome of targeted emission abatement strategies. As only such "influential" receptors are needed in optimization problems, their identification may permit a dramatic reduction in the computational burden. These receptors also allow a more direct interpretation of the optimization problem. After developing these filters, influential receptors are identified for several policies related to the reduction of sulfur deposition in Europe. 1987-08 published WP-87-079 WP-87-079 10 1714 public working_paper IIASA, Laxenburg, Austria 30 FALSE info:eu-repo/semantics/book