Overview
- 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
Part of the book series: Innovations in Sustainable Technologies and Computing (ISTC)
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Table of contents (15 chapters)
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Front Matter
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Practical Python for a Water and Environment Professional
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Front Matter
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Statistical Modeling in Hydrology
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Front Matter
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Surface and Subsurface Water
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Front Matter
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Environmental Applications
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
About the authors
Dr. Anil Kumar is a senior project scientist in the Department of Civil Engineering at the Indian Institute of Technology Delhi. He received his Ph.D. in Computational Geosciences jointly from Monash University (Australia) and the Indian Institute of Technology Bombay (India). He received a B.Tech. in Geophysical Technology from the Indian Institute of Technology Roorkee. He has been working as a researcher in the field of machine learning and numerical modeling and has helped develop innovative solutions for the oil, gas, and mining industry.
Bibliographic Information
Book Title: Python for Water and Environment
Authors: Anil Kumar, Manabendra Saharia
Series Title: Innovations in Sustainable Technologies and Computing
DOI: https://doi.org/10.1007/978-981-99-9408-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-99-9407-6Published: 09 March 2024
Softcover ISBN: 978-981-99-9410-6Due: 09 April 2024
eBook ISBN: 978-981-99-9408-3Published: 08 March 2024
Series ISSN: 2731-880X
Series E-ISSN: 2731-8818
Edition Number: 1
Number of Pages: XIX, 288
Number of Illustrations: 3 b/w illustrations, 89 illustrations in colour
Topics: Computational Intelligence, Python, Statistics, general, Environmental and Sustainability Education