Uncertainty in the predictions of science when applied to the environment is an issue of great current relevance in relation to the impacts of climate change, protecting against natural and man-made disasters, pollutant transport and sustainable resource management. However, it is often ignored both by scientists and decision makers, or interpreted as a conflict or disagreement between scientists. This is not necessarily the case, the scientists might well agree, but their predictions would still be uncertain and knowledge of that uncertainty might be important in decision making. Environmental Modelling: An Uncertain Future? introduces students, scientists and decision makers to: the different concepts and techniques of uncertainty estimation in environmental prediction the philosophical background to different concepts of uncertainty the constraint of uncertainties by the collection of observations and data assimilation in real-time forecasting techniques for decision making under uncertainty. This book will be relevant to environmental modellers, practitioners and decision makers in hydrology, hydraulics, ecology, meteorology and oceanography, geomorphology, geochemistry, soil science, pollutant transport and climate change. A companion website for the book can be found at www.uncertain-future.org.uk
It concludes with a look into the future of simulation modelling and some of the major developments in the field that are currently ongoing, including the use of GIS. This book: Focuses on simplifying complex environmental systems.
This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field.
This book provides a broad overview of essential features of subsurface environmental modelling at the science-policy interface, offering insights into the potential challenges in the field of subsurface flow and transport, as well as the ...
This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field.
In this book the authors consider the natural environment as an integrated system.
This is a thoroughly revised and updated edition of an authoritative introduction to ecological modelling.
We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth ...
Students need to be made aware of these issues. Practitioners should enrich their knowledge and skills in these areas. This book focuses on the modeling, rather than on data collection or visualization.
Exploring the broad arena of environmental modeling, the book demonstrates how to represent an environmental problem in conceptual terms, formalize the conceptual model using mathematical expressions, convert the mathematical model into a ...
YU = ordination in the space of variables Y Regress each variable y on table X and compute the fitted (y) and residual (yres) values ^ Fitted values from the multiple regressions PCA Y = X [X'X] X'Y ^ –1 U= matrix of eigenvectors ...