Data Driven Modeling Using Matlab In Water Resources And Environmental Engineering
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Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
Author: Shahab Araghinejad
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-26
“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.
MATLAB for Civil Engineers
Author: Dimitrios Sargiotis
language: en
Publisher: Springer Nature
Release Date: 2025-05-21
This book is a comprehensive and rigorous guide to MATLAB for Civil Engineers, bridging the critical gap between theoretical mathematics and practical engineering solutions. With an approachable introduction for students and deep insights for experienced professionals, it caters to a wide range of audiences across civil engineering disciplines—environmental, structural, geotechnical, and transportation engineering. Structured to guide readers progressively, the book begins with foundational MATLAB operations such as syntax and matrix manipulation, then advances into sophisticated engineering applications, including optimization, numerical methods, and data visualization. It covers essential MATLAB functionalities, offering detailed instruction on computation, visualization, and programming, all within the context of solving real-world engineering challenges. What sets this book apart is its hands-on approach. Readers are immersed in practical learning through real-world case studies, examples, and step-by-step exercises designed to reinforce key concepts. The text provides both academic and professional readers with the tools they need to model, analyze, and optimize engineering systems using MATLAB, ensuring they are equipped to handle both routine and complex engineering challenges with confidence. By the end, readers will not only master MATLAB's powerful tools but will also understand how to apply them directly to critical civil engineering problems, positioning themselves to innovate and lead in a field where computational proficiency is increasingly essential.
Handbook of Drought and Water Scarcity
This volume include over 30 chapters, written by experts from around the world. It examines drought and all of the fundamental principles relating to drought and water scarcity. It includes coverage of the causes of drought, occurences, preparations, drought vulnerability assessments, societal implications, and more.