MARC Record from marc_columbia

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001 15116941
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035 $a(NNC)15116941
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024 7 $a10.1201/b16395$2doi
035 $a(OCoLC)967109433$z(OCoLC)908078403$z(OCoLC)921238603$z(OCoLC)988131283$z(OCoLC)1027126816$z(OCoLC)1028179138$z(OCoLC)1058153210$z(OCoLC)1063618081$z(OCoLC)1067250494$z(OCoLC)1099534585$z(OCoLC)1110587540$z(OCoLC)1118454667$z(OCoLC)1274742218
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070 $aGB656.2.H9$bJ39 2014
072 7 $aSCI$x030000$2bisacsh
072 7 $aSCI$x031000$2bisacsh
082 04 $a551.48015118
049 $aZCUA
100 1 $aJayawardena, A. W.
245 10 $aEnvironmental and Hydrological Systems Modelling.
260 $aBoca Raton :$bCRC Press,$c2013.
300 $a1 online resource (518 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 0 $aPrint version record.
505 0 $aPreface; Author; 1 Introduction; 1.1 Some definitions; 1.2 General systems theory (GST); 1.3 Ecological systems (Ecosystems); 1.4 Equi-finality; 1.5 Scope and layout; References; 2 Historical development of hydrological modelling; 2.1 Basic concepts and governing equation of linear systems; 2.2 Linear systems in hydrological modelling; 2.3 Random processes and linear systems; 2.4 Non-linear systems; 2.5 Multilinear or parallel systems; 2.6 Flood routing; 2.7 Reservoir routing; 2.8 Rainfall-runoff modelling; 2.9 Guiding principles and criteria for choosing a model.
505 8 $a2.10 Challenges in hydrological modelling2.11 Concluding remarks; References; 3 Population dynamics; 3.1 Introduction; 3.2 Malthusian growth model; 3.3 Verhulst growth model; 3.4 Predator-prey (Lotka-Volterra) model; 3.5 Gompertz curve; 3.6 Logistic map; 3.7 Cell growth; 3.8 Bacterial growth; 3.9 Radioactive decay and carbon dating; 3.10 Concluding remarks; References; 4 Reaction kinetics; 4.1 Introduction; 4.2 Michaelis-Menten equation; 4.3 Monod equation; 4.4 Concluding remarks; References; 5 Water quality systems; 5.1 Dissolved oxygen systems.
505 8 $a5.2 Water quality in a completely mixed water body5.3 Water quality in rivers and streams; 5.4 Concluding remarks; References; 6 Longitudinal dispersion; 6.1 Introduction; 6.2 Governing equations; 6.3 Dispersion coefficient; 6.4 Numerical solution; 6.5 Dispersion through porous media; 6.6 General-purpose water quality models; 6.7 Concluding remarks; References; 7 Time series analysis and forecasting; 7.1 Introduction; 7.2 Basic properties of a time series; 7.3 Statistical parameters of a time series; 7.4 Tests for stationarity; 7.5 Tests for homogeneity; 7.6 Components of a time series.
505 8 $a7.7 Trend analysis7.8 Periodicity; 7.9 Stochastic component; 7.10 Residual series; 7.11 Forecasting; 7.12 Synthetic data generation; 7.13 ARMAX modelling; 7.14 Kalman filtering; 7.15 Parameter estimation; 7.16 Applications; 7.17 Concluding remarks; Appendix 7.1: Fourier series representation of a periodic function; References; 8 Artificial neural networks; 8.1 Introduction; 8.2 Origin of artificial neural networks; 8.3 Unconstrained optimization techniques; 8.4 Perceptron; 8.5 Types of activation functions; 8.6 Types of artificial neural networks; 8.7 Learning modes and learning.
505 8 $a8.8 BP algorithm8.9 ANN implementation details; 8.10 Feedback Systems; 8.11 Problems and limitations; 8.12 Application areas; 8.13 Concluding remarks; References; 9 Radial basis function (RBF) neural networks; 9.1 Introduction; 9.2 Interpolation; 9.3 Regularization; 9.4 Generalized RBFs; 9.5 Normalized radial basis functions (NRBFs) and kernel regression; 9.6 Learning of RBFs; 9.7 Curse of dimensionality; 9.8 Performance criteria; 9.9 Comparison of MLP versus RBF networks; 9.10 Applications; 9.11 Concluding remarks; References; 10 Fractals and chaos; 10.1 Introduction; 10.2 Fractal dimensions.
520 $aIntroduction. Historical Development of the Systems Theory Approach to Modelling. Population Dynamics. Reaction Kinetics. Water Quality Systems. Longitudinal Dispersion. Stochastic Models - Time Series Analysis and Modeling. Artificial Neural Networks. Radial Basis Function Networks. Fuzzy Logic Systems and Their Variations. Dynamical Systems Approach - Phase Space Re-Construction. Genetic Algorithms and Genetic Programming. Wavelet Decomposition. Process Based (Distributed) Models. Model Parameter Optimization. Closure.
504 $aIncludes bibliographical references and index.
506 1 $aLegal Deposit;$cOnly available on premises controlled by the deposit library and to one user at any one time;$eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK).$5WlAbNL
540 $aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.$5WlAbNL
650 0 $aHydrologic models.
650 0 $aEnvironmental sciences$xMathematics.
650 0 $aEcology$xSimulation methods.
650 6 $aModèles hydrologiques.
650 6 $aSciences de l'environnement$xMathématiques.
650 6 $aÉcologie$xMéthodes de simulation.
650 7 $aSCIENCE$xEarth Sciences$xGeography.$2bisacsh
650 7 $aSCIENCE$xEarth Sciences$xGeology.$2bisacsh
650 7 $aEcology$xSimulation methods.$2fast$0(OCoLC)fst00901536
650 7 $aEnvironmental sciences$xMathematics.$2fast$0(OCoLC)fst00913496
650 7 $aHydrologic models.$2fast$0(OCoLC)fst00965125
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$aJayawardena, A W.$tEnvironmental and Hydrological Systems Modelling.$dBoca Raton : CRC Press, ©2013$z9780415465311
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15116941$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS