M.B. Beck

TL;DR: A review of the role of uncertainty in the identification of mathematical models of water quality and in the application of these models to problems of prediction can be found in this paper, where four problem areas are examined in detail: uncertainty about model structure, uncertainty in estimated model parameter values, the propagation of prediction errors, and the design of experiments in order to reduce the critical uncertainties associated with a model.

TL;DR: By learning to work together and recognise the contribution of all team members and participants, it is believed that the authors will have a strong scientific and social basis to address the environmental problems of the 21st Century.

TL;DR: In this article, the authors discuss the contribution and evaluation of models of environmental systems and propose a numerical solution to the Advective-Diffusion Equation (ADE) solution.

TL;DR: In this article, a Monte Carlo simulation and nonlinear least-squares estimation of a vertical transport submodel for Lake Nantua was used to predict water quality in the Bedford Ouse watershed.

TL;DR: The implications of the ongoing shift—from the technocracy of the past century to the democracy of stakeholder participation in the present century—for the more widespread use of information and communication technologies in managing water quality in urban water environments are examined.