OptiPass: The migratory fish passage optimization tool, version 1.0 user manual

O'Hanley, J.R. (2014) OptiPass: The migratory fish passage optimization tool, version 1.0 user manual. Manual. Ecotelligence, LLC (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Abstract

OptiPass(TM) is a Microsoft Windows® based program for optimizing the mitigation of artificial barriers, which block or otherwise reduce the dispersal of diadromous (aka migratory) fish. The program integrates information on barrier passability (upstream and or downstream), mitigation cost, and potential river habitat gain for one or more target species in order to identify cost-efficient passage improvement strategies. Critically, OptiPass employs state-of-the-art optimization modeling and solution techniques, explicitly taking into consideration the spatial structure of barriers and the interactive effects of passage improvement on longitudinal connectivity. Optimization based methods provide a systematic and objective means of targeting barrier mitigation actions which maximize restoration gains given available resources. OptiPass represents a radical improvement over the ad-hoc methods commonly used in barrier prioritization planning. OptiPass comes replete with a graphical user interface to quickly and easily generate optimized solutions. Additional functionalities have been built into OptiPass for performing batch runs across a range of budget values, varying the weights placed on different target species, and carrying out more detailed “what-if” type analyses such as changing the spatial focus (i.e., selecting subsets of watersheds for detailed study) and forcing specific barriers in or out of the final optimal solution. Besides being useful for strategically targeting high impact barriers within a given area that yield the “biggest bang for the buck,” OptiPass can also be used in a variety of other ways such as in the short-listing of projects submitted for potential funding and helping to identify appropriate levels of investment in barrier mitigation that meet defined policy planning goals.

Item Type:	Monograph (Manual)
Subjects:	H Social Sciences > HA Statistics > HA33 Management Science Q Science > QH Natural history > QH301 Biology
Divisions:	Faculties > Social Sciences > Kent Business School > Management Science Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User:	Jesse O'Hanley
Date Deposited:	05 Jan 2015 13:49 UTC
Last Modified:	29 May 2019 14:01 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/46455 (The current URI for this page, for reference purposes)