Rainfall: Modeling, Measurement and Applications

ISBN 10: 0128225440 ISBN 13: 9780128225448
Published by Elsevier, 2022
New Soft cover

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Synopsis:

Rainfall: Physical Process, Measurement, Data Analysis and Usage in Hydrological Investigations integrates different rainfall perspectives, from droplet formation and modeling developments to the experimental measurements and their analysis, to application in surface and subsurface hydrological investigations. Each chapter provides an updated representation of the involved subject with relative open problems and includes a case study at the end of the chapter. The book targets postgraduate readers studying meteorology, civil and environmental engineering, geophysics, agronomy and natural science, as well as practitioners working in the fields of hydrology, hydrogeology, agronomy and water resource management.

  • Presents comprehensive coverage of rainfall-related topics, from the basic processes involved in the drop formation to data use and modeling
  • Provides real-life examples for practical use in the form of a case study in each chapter

About the Author: Renato Morbidelli is a professor of Hydrology and Hydraulic Constructions at the Dept. of Civil and Environmental Engineering, University of Perugia, Italy. Before this he was an associate professor at the Faculty of Engineering, University of Perugia, Italy. From 2016 he held the national position of Full Professor of Hydrology and Hydraulic Constructions. Morbidelli completed his PHD in 1998. He has been the editor of numerous journals, including an Associate Editor for Journal of Hydrology (Elsevier). His main topics of research include: Real time flood forecasting; semi-distributed rainfall-runoff modelling; rainfall analysis; climatic change analysis; infiltration modeling; spatial variability of soil hydraulic characteristics. He has published numerous papers and chapters.

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Bibliographic Details

Title: Rainfall: Modeling, Measurement and ...
Publisher: Elsevier
Publication Date: 2022
Binding: Soft cover
Condition: New

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