From MFKP_wiki

Jump to: navigation, search

Lexicographic optimisation for water resources planning: the case of Lake Verbano, Italy

Enrico Weber, Rodolfo Soncini-Sessa, Andrea Castelletti

edited by: Andrea-Emilio Rizzoli, Anthony J. Jakeman

Lake Verbano is a natural lake used as multipurpose reservoir. The lake supplies water for irrigation and hydropower generation to downstream users, while flood controls are applied to protect the lake shores and the downstream populations on the Ticino river, and environmental preservation constraints must be respected. All these objectives are conflicting and they have different priorities, as stated by the Italian regulation on water use. This paper explores a methodology aimed at solving this conflict. The stakeholders involvement in the decision making process is supported by a Multi Objective Decision Support System for the management of water reservoirs. It is designed to be used at the planning level by water agencies to generate management policies and release plans over various time horizons. The DSS also supports the analysis of various scenarios of possible structural modification of the lake outlet and the introduction of a minimum flow rate on the Ticino river. Solving a multi-objective problem, the DSS algorithm generates ”set-valued” policies, providing the decision makers with multiple choices, thus integrating, not substituting, human intelligence. The knowledge of a set of equivalent controls instead of a single value can be advantageous for decision makers since they can choose the control most suitable to a particular situation on the basis of their experience and information. This set-valued policy, obtained solving the primary optimal control problem, can also be exploited for a further lexicographic optimisation. The primary policy, ensuring the performance of a prioritised group of objectives, can be used to define the feasible set of controls for the secondary optimal control problem, defined for a new set of secondary objectives.

In Proceedings of the iEMSs First Biennial Meeting: Integrated Assessment and Decision Support (2002), pp. 235-240 
Key: INRMM:14376771



Available versions (may include free-access full text)……

Versions of the publication are also available in Google Scholar.
Google Scholar code: GScluster:6334507531951574135

Works citing this publication (including grey literature)

An updated list of who cited this publication is available in Google Scholar.
Google Scholar code: GScites:6334507531951574135

Further search for available versions

Search in ResearchGate (or try with a fuzzier search in ResearchGate)
Search in Mendeley (or try with a fuzzier search in Mendeley)

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Digital preservation of this INRMM-MiD record

Internet Archive

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.