Springer Singapore, 2024. — 288 p. — (Innovations in Sustainable Technologies and Computing). — eBook ISBN 978-981-99-9408-3.
Addresses the fundamental modeling problems in water resources and hydrology
Depicts examples in Python programming language
Induces a short learning-curve to advanced numerical techniques such as the finite elements
This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.
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