LEADER 05554nam 2200757 a 450 001 9910826788103321 005 20200520144314.0 010 $a9781118351475 010 $a1118351479 010 $a9781283993852 010 $a1283993856 010 $a9781118366103 010 $a1118366107 010 $a9781118351482 010 $a1118351487 035 $a(CKB)2670000000325679 035 $a(EBL)1116174 035 $a(OCoLC)827208633 035 $a(SSID)ssj0000819734 035 $a(PQKBManifestationID)11410957 035 $a(PQKBTitleCode)TC0000819734 035 $a(PQKBWorkID)10856343 035 $a(PQKB)10216241 035 $a(MiAaPQ)EBC1116174 035 $a(DLC) 2012017568 035 $a(Au-PeEL)EBL1116174 035 $a(CaPaEBR)ebr10650971 035 $a(CaONFJC)MIL430635 035 $a(PPN)17826119X 035 $a(OCoLC)791489590 035 $a(FINmELB)ELB178095 035 $a(Perlego)1001380 035 $a(EXLCZ)992670000000325679 100 $a20120424d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEnvironmental modelling $efinding simplicity in complexity /$f[edited by] John Wainwright and Mark Mulligan 205 $a2nd ed. 210 $aChichester [England] ;$aHoboken, N.J. $cWiley$d2013 215 $a1 online resource (495 p.) 300 $aDescription based upon print version of record. 311 08$a9780470749111 311 08$a0470749113 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; Preface; Preface to the First Edition; List of Contributors; Part I Model Building; Chapter 1 Introduction; 1.1 Introduction; 1.2 Why model the environment?; 1.3 Why simplicity and complexity?; 1.4 How to use this book; 1.5 The book's web site; References; Chapter 2 Modelling and Model Building; 2.1 The role of modelling in environmental research; 2.2 Approaches to model building: chickens, eggs, models and parameters?; 2.3 Testing models; 2.4 Sensitivity analysis and its role; 2.5 Errors and uncertainty; 2.6 Conclusions; References 327 $aChapter 3 Time Series: Analysis and Modelling3.1 Introduction; 3.2 Examples of environmental time series; 3.3 Frequency-size distribution of values in a time series; 3.4 White noises and Brownian motions; 3.5 Persistence; 3.6 Other time-series models; 3.7 Discussion and summary; References; Chapter 4 Non-Linear Dynamics, Self-Organization and Cellular Automata Models; 4.1 Introduction; 4.2 Self-organization in complex systems; 4.3 Cellular automaton models; 4.4 Case study: modelling rill initiation and growth; 4.5 Summary and conclusions; 4.6 Acknowledgements; References 327 $aChapter 5 Spatial Modelling and Scaling Issues5.1 Introduction; 5.2 Scale and scaling; 5.3 Causes of scaling problems; 5.4 Scaling issues of input parameters and possible solutions; 5.5 Methodology for scaling physically based models; 5.6 Scaling land-surface parameters for a soil-erosion model: a case study; 5.7 Conclusion; References; Chapter 6 Environmental Applications of Computational Fluid Dynamics; 6.1 Introduction; 6.2 CFD fundamentals; 6.3 Applications of CFD in environmental modelling; 6.4 Conclusions; References 327 $aChapter 7 Data-Based Mechanistic Modelling and the Emulation of Large Environmental System Models7.1 Introduction; 7.2 Philosophies of science and modelling; 7.3 Statistical identification, estimation and validation; 7.4 Data-based mechanistic (DBM) modelling; 7.5 The statistical tools of DBM modelling; 7.6 Practical example; 7.7 The reduced-order modelling of large computer-simulation models; 7.8 The dynamic emulation of large computer-simulation models; 7.9 Conclusions; References; Chapter 8 Stochastic versus Deterministic Approaches; 8.1 Introduction; 8.2 A philosophical perspective 327 $a8.3 Tools and methods8.4 A practical illustration in Oman; 8.5 Discussion; References; Part II The State of the Art in Environmental Modelling; Chapter 9 Climate and Climate-System Modelling; 9.1 The complexity; 9.2 Finding the simplicity; 9.3 The research frontier; 9.4 Online material; References; Chapter 10 Soil and Hillslope (Eco)Hydrology; 10.1 Hillslope e-c-o-hydrology?; 10.2 Tyger, tyger...; 10.3 Nobody loves me, everybody hates me...; 10.4 Memories; 10.5 I'll avoid you as long as I can?; 10.6 Acknowledgements; References 327 $aChapter 11 Modelling Catchment and Fluvial Processes and their Interactions 330 $a Simulation models are an established method used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this second edition is the idea that environmental systems are complex, open systems. The authors present the diversity of approaches to dealing with environmental complexity and then encourage readers to make comparisons between these approaches and between different disciplines. Environmental Modelling: Finding Simplicity in Complexity 2nd edition is divided into four main sections: An overview 606 $aEnvironmental sciences$xMathematical models 615 0$aEnvironmental sciences$xMathematical models. 676 $a628 701 $aWainwright$b John$f1967-$0963930 701 $aMulligan$b Mark$cDr.$0963931 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910826788103321 996 $aEnvironmental modelling$94059045 997 $aUNINA