Flood Modeling, Prediction and Mitigation, 1st ed. 2018

This book draws on the author?s professional experience and expertise in humid and arid regions to familiarize readers with the basic scientific philosophy and methods regarding floods and their impacts on human life and property.

The basis of each model, algorithm and calculation methodology is presented, together with logical and analytical strategies. Global warming and climate change trends are addressed, while flood risk assessments, vulnerability, preventive and mitigation procedures are explained systematically, helping readers apply them in a rational and effective manner.

Lastly, real-world project applications are highlighted in each section, ensuring readers grasp not only the theoretical aspects but also their concrete implementation. 

Prof. Zekâi Şen obtained his B.Sc. and M.Sc. degrees from Technical University of İstanbul, Civil Engineering Faculty, Department of Reinforced Concrete in 1971. His further post-graduate studies were carried out at the University of London, Imperial College of Science and Technology. He was granted Diploma of Imperial College (D.I.C) and M.Sc. in Engineering Hydrology in 1972 and Ph. D. in stochastic hydrology in 1974. He worked in different countries such as England, Norway, Saudi Arabia and Turkey. He worked in different faculties as the head of department. His main interests are hydrology, water resources, hydrogeology, hydrometeorology, hydraulics, science philosophy and history. He has published numerous (Science Citation Indexed) SCI scientific papers in different internationally top journals on various topics.

Provides a combination of theoretical flood problems, familiarizing readers with the prediction of and protection from flood-related risks

Includes a critical review of the methodologies currently used in practice

Provides innovative approaches for refining existing approaches with applications from humid and arid regions

Focuses on the impacts of floods and flash floods in arid and semi-arid regions, and provides effective solutions

Includes supplementary material: sn.pub/extras