eprintid: 4961 rev_number: 23 eprint_status: archive userid: 351 dir: disk0/00/00/49/61 datestamp: 2016-01-15 02:07:53 lastmod: 2021-08-27 17:15:46 status_changed: 2016-01-15 02:07:53 type: monograph metadata_visibility: show item_issues_count: 2 creators_name: Lence, B.J. creators_name: Ruszczynski, A. creators_id: 1644 creators_id: 1475 title: Managing Water Quality under Uncertainty: Application of a New Stochastic Branch and Bound Method ispublished: pub internal_subjects: iis_met internal_subjects: iis_wat divisions: prog_opt abstract: The problem of water quality management under uncertain emission levels, reaction rates and pollutant transport is considered. Various performance measures: reliability, resiliency and vulnerability are taken into account. A general methodology for finding a cost-effective water quality management program is developed. The approach employs a new idea of the stochastic branch and bound method, which combines random estimates of the performance for subsets of decisions with iterative refinement of the most promising subsets. date: 1996-06 date_type: published publisher: WP-96-066 iiasapubid: WP-96-066 price: 10 creators_browse_id: 1412 creators_browse_id: 1544 full_text_status: public monograph_type: working_paper place_of_pub: IIASA, Laxenburg, Austria pages: 22 coversheets_dirty: FALSE fp7_type: info:eu-repo/semantics/book citation: Lence, B.J. & Ruszczynski, A. (1996). Managing Water Quality under Uncertainty: Application of a New Stochastic Branch and Bound Method. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-066 document_url: https://pure.iiasa.ac.at/id/eprint/4961/1/WP-96-066.pdf