Environmental Modelling: Finding Simplicity in ComplexitySimulation models are increasingly used to investigate processes and solve practical problems in a wide variety of disciplines eg. climatology, ecology, hydrology, geomorphology, engineering. Environmental Modelling: A Practical Approach addresses the development, testing and application of such models, which apply across traditional boundaries, and demonstrate how interactions across these boundaries can be beneficial.
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chapter 11
Contents
How to use this book | 2 |
References | 68 |
1 | 77 |
3 | 85 |
Soil and Hillslope Hydrology | 93 |
Of course its those bloody macropores again | 100 |
Acknowledgements | 103 |
References | 119 |
References | 242 |
References | 253 |
Acknowledgements | 270 |
Soil Erosion and Conservation | 277 |
Acknowledgements | 288 |
Note | 298 |
Scaling Issues in Environmental Modelling | 319 |
Environmental Applications of Computational Fluid Dynamics | 335 |
Modelling the Ecology of Plants | 143 |
Spatial Population Models for Animals | 157 |
Acknowledgements | 167 |
Erosion and Sediment Transport | 187 |
Note | 195 |
Finding Simplicity in Complexity in Biogeochemical Modelling | 211 |
References | 222 |
Other editions - View all
Environmental Modelling: Finding Simplicity in Complexity John Wainwright,Mark Mulligan Limited preview - 2005 |
Environmental Modelling: Finding Simplicity in Complexity John Wainwright,Mark Mulligan No preview available - 2004 |
Common terms and phrases
allow analysis application approach assessment atmospheric behaviour calculated catchment cell channel Chapter climate complex components consider cover defined described detail determine developed distribution dynamics ecological ecosystem effects elements environment environmental equations erosion error estimated et al evaluate example experiments factors field Figure flow forest function given global growth hillslope human hydrological impact important increase individual input integrated interactions John Journal land land-use landscape limited loss mean measured method natural observed occur output parameters patterns physical plant population possible predict present Press problem processes produce properties rainfall regional relative represent Research Resources response river runoff scale Science sensitivity simple simulation slope soil solution space spatial species structure surface techniques testing tion types uncertainty understanding unit University validation values variables vegetation