This book covers the integration of chemical fate modeling for use in Geographic Information System (GIS) functions. It features a practical and hands-on approach that's intended for modelers preparing maps of chemical emissions, and creating landscape and climate properties within a GIS, while chem
GIS Based Chemical Fate Modeling (Principles and Applications) || The Issue of Monitoring Data and the Evaluation of Spatial Models of Chemical Fate
β Scribed by Pistocchi, Alberto
- Book ID
- 121874156
- Publisher
- John Wiley & Sons, Inc.
- Year
- 2014
- Tongue
- English
- Weight
- 643 KB
- Edition
- 1
- Category
- Article
- ISBN
- 1118059972
No coin nor oath required. For personal study only.
β¦ Synopsis
This book covers the integration of chemical fate modeling for use in Geographic Information System (GIS) functions. It features a practical and hands-on approach that's intended for modelers preparing maps of chemical emissions, and creating landscape and climate properties within a GIS, while chemical fate calculations are performed using specialized model codes. A relevant part of the book also discusses data retrieval and processing as a basis for modeling. As such, the book offers a one-stop reference for practitioners who wish to integrate GIS with chemical modeling.
π SIMILAR VOLUMES
This book covers the integration of chemical fate modeling for use in Geographic Information System (GIS) functions. It features a practical and hands-on approach that's intended for modelers preparing maps of chemical emissions, and creating landscape and climate properties within a GIS, while chem
This book covers the integration of chemical fate modeling for use in Geographic Information System (GIS) functions. It features a practical and hands-on approach that's intended for modelers preparing maps of chemical emissions, and creating landscape and climate properties within a GIS, while chem
## Abstract Firstβorder analytical sensitivity and uncertainty analysis for environmental chemical fate models is described and applied to a regional contaminant fate model and a food web bioaccumulation model. By assuming linear relationships between inputs and outputs, independence, and logβnorma