Modelling of Environmental Chemical Exposure and Risk

Jan B. H. J. Linders

ISBN 10: 0792367766 / ISBN 13: 9780792367765

Published by Springer Netherlands, Springer Netherlands, 2001

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Mathematical models are being increasingly used to estimate the concentrations of a wide range of substances in the environment for a variety of reasons, including government control and legislation, and risk and hazard estimation. Exposure assessment has to be performed for many types of substances, including pesticides, industrial chemicals, pollutants, accidental discharges, etc. The interpretation of the results of model equations should always bear in mind the purpose for which the model used was built in the first place. Further, models are always an abstraction of reality, requiring simplifying assumptions to keep the models within the restraints posed by computer performance and/or scientific knowledge. The present book treats the theme of modelling chemical exposure and risk in terms of four main topics: model characteristics, applications, comparison of estimated with measured concentrations, and modelling credibility.

Seller Inventory # 9780792367765

Bibliographic Details

• Title: Modelling of Environmental Chemical Exposure and Risk
• Publisher: Springer Netherlands, Springer Netherlands
• Publication Date: 2001
• Language: English
• ISBN 10: 0792367766
• ISBN 13: 9780792367765
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 446 grams

About this title

Synopsis

Mathematical models are being increasingly used to estimate the concentrations of a wide range of substances in the environment for a variety of reasons, including government control and legislation, and risk and hazard estimation. Exposure assessment has to be performed for many types of substances, including pesticides, industrial chemicals, pollutants, accidental discharges, etc. The interpretation of the results of model equations should always bear in mind the purpose for which the model used was built in the first place. Further, models are always an abstraction of reality, requiring simplifying assumptions to keep the models within the restraints posed by computer performance and/or scientific knowledge.
The present book treats the theme of modelling chemical exposure and risk in terms of four main topics: model characteristics, applications, comparison of estimated with measured concentrations, and modelling credibility.