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0 (hodnocen0 x )

EB

EB

ONLINE

Amsterdam : Elsevier, 2022

1 online zdroj

ISBN 9780128189726 (electronic bk.)

ISBN 9780128189719 (print)

Obsahuje rejstřík

001932315

Preface ...ix // CHAPTER 1 Overview on data treatment ...1 // 1 Introduction ...1 // 1.1 Mathematical technique ...6 // 1.2 Computational technique ...7 // 1.3 Statistical data treatment ...7 // References ...11 // CHAPTER 2 Case study in environmental pollution research ...13 // 1 Introduction ...13 // 1.1 Air pollution ...14 // 1.2 Land pollution ...21 // 1.3 Water pollution ...24 // 1.4 Noise pollution ...32 // 1.5 Radioactive pollution ...33 // 1.6 Electronic waste pollution ...35 // References ...38 // Further reading ...39 // CHAPTER 3 Typical environmental challenges ...41 // 1 Introduction ...41 // 1.1 Thermal comfort as a source of environmental concern ...41 // 1.2 Rainfall as a source of environmental concern ...44 // 1.3 Recent environmental crisis and the problem of climate change ...47 // References ...51 // CHAPTER 4 Generating environmental data: Progress and // shortcoming ...53 // 1 Method of generating environmental data: common challenges, safety, and errors ...53 // 1.1 Data quality and errors ...55 // 1.2 Satellite measurement ...60 // 1.3 Modeling procedure ...63 // 1.4 Experimental procedure ...69 // 2 Common errors in laboratory practice ...74 // 3 Maintaining laboratory apparatus ...75 // References ...76 // CHAPTER 5 Root finding technique in environmental research ...79 // 1 Application of root finding technique to environmental data ...79 // 1.1 The root finding method ...79 // 1.2 Modification of the root finding method to data application ...82 // 1.3 Computational application of root finding method to data application ...103 // Reference ...117 // CHAPTER 6 Numerical differential analysis in environmental // research ...119 // 1 Introduction ...119 // 1.1 Euler method ...121 // 1.2 Improved Euler method ...122 // 1.3 Runge-Kutta method ...123 // 1.4 Predictor Corrector method ...126 // 1.5 Midpoint method ...128 //

1.6 Application of numerical methods of solving differentiation in environmental research ...128 // 1.7 Computational processing of numerical methods for solving differential equation ...136 // 1.8 Computational application of derivatives to environmental data ...142 // 1.9 Case 1: derivative of experimental data ...142 // References ...147 // Further reading ...148 // CHAPTER 7 Numerical integration application to environmental data ...149 // 1 Introduction ...149 // 1.1 Midpoint ...149 // 1.2 Trapezoidal rule ...151 // 1.3 Simpson’s rule ...154 // 1.4 Computational application of numerical integration ...158 // References ...168 // CHAPTER 8 Numerical interpolation in environmental research ...169 // 1 Introduction ...169 // 2 Application of interpolation to environmental data ...170 // 3 Lagrange interpolation ...172 // 4 Newton interpolation ...176 // 5 Spline interpolation ...179 // 6 Computational application of interpolation ...181 // References ...189 // CHAPTER 9 Environmental/atmospheric numerical models formulations: model review // 1 Introduction ...191 // 1.1 Global forecast system ...191 // 1.2 NOG APS-ALPHA model ...192 // 1.3 Global Environmental Multiscale Model (GEM) ...195 // 1.4 European Center for Medium Range Weather Forecasts ...196 // 1.5 Unified Model (UKMO) ...197 // 1.6 French global atmospheric forecast model (ARPEGE).. 199 // 1.7 Weather Research and Forecasting (WRF) ...200 // 1.8 Japan Meteorological Agency Nonhydrostatic Model (JMA-NHM) ...203 // 1.9 The fifth generation mesoscale model ...205 // 1.10 Advanced Region Prediction System (ARPS) ...206 // 1.11 High Resolution Limited Area Model (HIRLAM) ...207 // 1.12 Global Environmental Multiscale limited area model ...208 // 1.13 ALADIN model ...210 // 1.14 Eta model ...213 // 1.15 Microscale model (MIMO) ...215 // 1.16 Regional atmospheric modeling system (RAMS) ...216 // References ...217 // Futher reading ...221 // Index

(OCoLC)1336889697