On identification of nonobservable contamination inputs

Kryazhimskiy AV & Maksimov VI (2005). On identification of nonobservable contamination inputs. Environmental Modelling & Software DOI:10.1016/j.envsoft.2004.09.014.

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Abstract

The problem considered is that of estimating time-varying pollution inputs to a environmental system when no direct measurements are possible. Assuming that the rate of input of pollutants can be observed indirectly and that its relation to the observations is known, the problem is a model-inversion problem. However, the relation is generally not unique, i.e. more than one set of input behaviour may be consistent with it and the observations. The paper considers two approaches to obtaining information on the input: the reconstructibility approach and the guaranteed interval approach. The reconstructibility approach leads to reliable but restricted information. The result of the reconstructibility approach is an input performance index (a function). The guaranteed interval approach is an extension of the reconstructibility approach and considers unimprovable lower and upper bounds on an input performance index. The paper presents an algorithm for the guaranteed interval approach.

Item Type: Article
Uncontrolled Keywords: Variable source contamination; Spatial heterogeneity; Inverse problem; Input estimation
Research Programs: Dynamic Systems (DYN)
Bibliographic Reference: Environmental Modelling & Software; 20(8):1057-1061 (August 2005)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:17
Last Modified: 23 Feb 2016 10:57
URI: http://pure.iiasa.ac.at/7507

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