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.

This is a revised and updated second edition, including new chapters on temporal and point uncertainty model, as well as on sampling and deterministic modeling. It is a comprehensive presentation of spatial modeling techniques used in the earth sciences, outlining original techniques developed by the author. Data collection in the earth sciences is difficult and expensive, but simple, rational and logical approaches help the reader to appreciate the fundamentals of advanced methodologies. It requires special care to gather accurate geological, hydrogeological, meteorological and hydrological information all with risk assessments. Spatial simulation methodologies in the earth sciences are essential, then, if we want to understand the variability in features such as fracture frequencies, rock quality, and grain size distribution in rock and porous media. This book outlines in a detailed yet accessible way the main spatial modeling techniques, in particular the Kriging methodology. It also presents many unique physical approaches, field cases, and sample interpretations. Since Kriging's origin in the 1960s it has been developed into a number of new methods such as cumulative SV (CSV), point CSV (PCSV), and spatial dependence function, which have been applied in different aspects of the earth sciences. Each one of these techniques is explained in this book, as well as how they are used to model earth science phenomena such as geology, earthquakes, meteorology, and hydrology. In addition to Kriging and its variants, several alternatives to Kriging methodology are presented and the necessary steps in their applications are clearly explained. Simple spatial variation prediction methodologies are also revised with up-to-date literature, and the ways in which they relate to more advanced spatial modeling methodologies are explained. The book is a valuable resource for students, researchers and professionals of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics. Keywords "Data mining - Geo-statistics - Kriging - Regional uncertainty - Spatial dependence - Spatial modeling - geographic data - geoscience - hydrology - image processing

This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies are developed here and some of them are reflected to scientific literature and others are also innovative versions, modifications or improvements. The suggested methodologies help to design, develop, manage and deliver scientific applications and training to meet the needs of interested staff in companies, industries and universities including students. Technical content and expertise are also provided from different theoretical and especially active roles in the design, development and delivery of science in particular and economics and business in general. It is also ensured that, wherever possible and technically appropriate, priority is given to the inclusion and integration of real life data, examples and processes within the book content. The time seems right, because available books just focus on special sectors (fashion, social, business). This book reviews all the available trend approaches in the present literature on rational and logical bases.

This book highlights and explains the significance of philosophical, logical, and scientific principles for engineering education/training and engineering works. In so doing, it aims to help to rectify the neglect of philosophy and logic in current education and training programs, which emphasize analytical and numerical methods at the expense of the innovative practical and creative abilities so important for engineering in the past. Individual chapters examine the relation of philosophy, logic, and science to engineering, drawing attention to, for example, the significance of ethics, the relevance of the philosophy of science, and the increasing importance of application of fuzzy logic to engineering. Modeling principles and philosophy in engineering are discussed, and the impact of different education systems, examined. Too often engineers have become reliant on readily available formulations and software; this book offers an antidote, promoting the recognition of artistic and humanitarian aspects and their integration in engineering works.

Solar irradiation is the fundamental initiator of the different renewable energy alternatives, including wind, wave, hydrogen and biomass energy sources. Solar Energy Fundamentals and Modelling Techniques presents the methods of quantitative determination of solar irradiation incident amount on a surface on the Earth. The book collects together material from the current literature in atmospheric environmental sciences, climate change, meteorology, engineering and renewable energy, liberally illustrated by diagrams and worked examples.

Solar Energy Fundamentals and Modelling Techniques provides a sound background to the underlying physical principles of solar irradiation and energy, with explanations as to how these can be modelled and applied in solar energy projects and design. Bringing together information not found elsewhere in a single source, the book includes an innovative exposition of expert system methodologies used in the domain of solar irradiation and energy. In addition to methodologies such as statistics and geo-statistics (regionalized variables), new modelling approaches such as fuzzy logic inference, Artificial Neural Network (ANN) and genetic algorithm techniques are introduced, along with both classical Kriging and newly developed techniques for spatial solar irradiation modelling.

Solar Energy Fundamentals and Modelling Techniques is a valuable resource for students, researchers and practitioners across a broad spectrum of disciplines, including energy analysts, thermal device designers, photovoltaic specialists, architects and engineers, agronomists, hydrologists, atmospheric scientists and meteorologists, climate change specialists, andenvironmentalists.

The literature of hydrology abounds with texts on the hydrological and water resource problems in humid regions. However, this is not the case for the arid or semi arid regions. The situation is exemplified by the fact a concrete definition for the term "wadi", as accepted by UNESCO for describing these areas, is difficult to find. Arguably the first book devoted entirely to examining this important resource, Wadi Hydrology presents methodologies for sustainable management of wadis and their water resources. Through unique physical approaches, field cases, sample interpretations, and various applications to different models, this book provides an in-depth understanding of these systems that illustrates the efficiency of harnessing water from wadis. The author compiles the most up-to-date information on arid region hydrology, including specific techniques for hydrological calculations and desertification assessments, and includes examples and solved problems in each chapter.

In order to properly plan, design, and operate groundwater resources projects, it is necessary to measure - over time or distance - pertinent groundwater variables such as drawdown and discharge in the field. Applied Hydrogeology for Scientists and Engineers shows how to assess and interpret these data by subsurface geological setup and processing. The book helps readers estimate relevant groundwater parameters such as storativity, transmissivity, and leakage coefficient.
The text addresses many interrelated disciplines such as geology, hydrology, hydrogeology, engineering, petroleum geology, and water engineering. Traditional and current models for application are presented. One of the unique features of the book is the inclusion of new and previously unpublished ideas, concepts, techniques, approaches, and procedures developed by the author. Among these are hydrogeophysical concepts, slope matching techniques, volumetric approach solution for complicated groundwater flows, non-Darcian flow law applications, aquifer sample functions, dimensionless-type straight line methods, non-linear flow-type curves, discharge calculations from early time-drawdown data, storage coefficient estimation procedure for quasi-steady state flow, and much more. The pitfalls in aquifer test analysis are also detailed. Fractured medium flow adds yet another dimension to the book. Each method is supplemented by actual field data applications from worldwide case studies.
Applied Hydrogeology for Scientists and Engineers covers the topics of groundwater reservoirs, the evaluation of aquifer parameters, aquifer and flow properties, flow properties and bore hole tests, aquifer tests in porous and fractured media, well hydraulics, groundwater flow and aquifer tests, and field measurements and their interpretations.
This new reference also works well as a post-graduate textbook on the subject. Applied Hydrogeology for Scientists and Engineers expands the reader's knowledge by providing valuable information not found in any other publication.

This book covers all types of literature on existing trend analysis approaches, but more than 60% of the methodologies are developed here and some of them are reflected to scientific literature and others are also innovative versions, modifications or improvements. The suggested methodologies help to design, develop, manage and deliver scientific applications and training to meet the needs of interested staff in companies, industries and universities including students. Technical content and expertise are also provided from different theoretical and especially active roles in the design, development and delivery of science in particular and economics and business in general. It is also ensured that, wherever possible and technically appropriate, priority is given to the inclusion and integration of real life data, examples and processes within the book content. The time seems right, because available books just focus on special sectors (fashion, social, business). This book reviews all the available trend approaches in the present literature on rational and logical bases.

This is a revised and updated second edition, including new chapters on temporal and point uncertainty model, as well as on sampling and deterministic modeling. It is a comprehensive presentation of spatial modeling techniques used in the earth sciences, outlining original techniques developed by the author. Data collection in the earth sciences is difficult and expensive, but simple, rational and logical approaches help the reader to appreciate the fundamentals of advanced methodologies. It requires special care to gather accurate geological, hydrogeological, meteorological and hydrological information all with risk assessments. Spatial simulation methodologies in the earth sciences are essential, then, if we want to understand the variability in features such as fracture frequencies, rock quality, and grain size distribution in rock and porous media. This book outlines in a detailed yet accessible way the main spatial modeling techniques, in particular the Kriging methodology. It also presents many unique physical approaches, field cases, and sample interpretations. Since Kriging's origin in the 1960s it has been developed into a number of new methods such as cumulative SV (CSV), point CSV (PCSV), and spatial dependence function, which have been applied in different aspects of the earth sciences. Each one of these techniques is explained in this book, as well as how they are used to model earth science phenomena such as geology, earthquakes, meteorology, and hydrology. In addition to Kriging and its variants, several alternatives to Kriging methodology are presented and the necessary steps in their applications are clearly explained. Simple spatial variation prediction methodologies are also revised with up-to-date literature, and the ways in which they relate to more advanced spatial modeling methodologies are explained. The book is a valuable resource for students, researchers and professionals of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics. Keywords "Data mining - Geo-statistics - Kriging - Regional uncertainty - Spatial dependence - Spatial modeling - geographic data - geoscience - hydrology - image processing

This book highlights and explains the significance of philosophical, logical, and scientific principles for engineering education/training and engineering works. In so doing, it aims to help to rectify the neglect of philosophy and logic in current education and training programs, which emphasize analytical and numerical methods at the expense of the innovative practical and creative abilities so important for engineering in the past. Individual chapters examine the relation of philosophy, logic, and science to engineering, drawing attention to, for example, the significance of ethics, the relevance of the philosophy of science, and the increasing importance of application of fuzzy logic to engineering. Modeling principles and philosophy in engineering are discussed, and the impact of different education systems, examined. Too often engineers have become reliant on readily available formulations and software; this book offers an antidote, promoting the recognition of artistic and humanitarian aspects and their integration in engineering works.

Spatial Modeling Principles in Earth Sciences presents fundamentals of spatial data analysis used in hydrology, geology, meteorology, atmospheric science and related fields. It examines methods for the quantitative determination of the spatial distribution patterns. This book brings together the material from the current literature in earth sciences and practical examples. It provides a sound background of philosophical, logical, rational and physical principles of spatial data and analysis, and explains how it can be modeled and applied in earth sciences projects and designs. It collects information not previously available in one source, and provides methodology for the treatment of spatial data to find the most rational and practical solution. The book is a valuable resource for students, researchers and practitioners of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics.

This book presents the methods of quantitative determination of solar irradiation incident amount on a surface on the Earth. It brings together information not found elsewhere in a single source, and includes an innovative exposition of expert system methodologies used in the domain of solar irradiation and energy. The book provides a background to the underlying physical principles of solar irradiation and energy, with explanations as to how these can be modelled and applied.

The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow him to eschew the use of mathematics. The book's first seven chapters expose the fuzzy logic principles, processes and design for a fruitful inference system with many hydrological examples. The last two chapters present the use of those principles in larger scale hydrological scales within the hydrological cycle.

This book comprises the proceedings of the 11th International Symposium on Intelligent Manufacturing and Service Systems 2021. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including 3D printing, augmented reality, bioinformatics, intelligence interaction, traffic flow analytics, medical informatics, distance healthcare, robotic systems, etc. This volume will prove a valuable resource for those in academia and industry.

Applied Drought Modelling, Prediction, and Mitigation provides a practical guide to new and recent methodologies for drought characterizations, change modeling, down-scaling, and future predictions. The modeling procedures covered by the book include recent advancements in regional drought extent, coverage, intensity, and water deficit predictions, which are increasingly significant given current climate change impacts on water resources. Each modeling procedure is explained theoretically prior to the mathematical derivation, and includes book examples, exercises, and case studies that supplement the applied and practical material, thus making the approaches accessible and applicable to the reader.

Applications in Hydrogeology for Geoscientists presents the most recent scientific developments in the field that are accessible yet rigorous enough for industry professionals and academic researchers alike. A multi-contributed reference that features the knowledge and experience of the field's experts, the book's chapters span the full scope of hydrogeology, introducing new approaches and progress in conceptualization, simulation of groundwater flow and transport, and progressive hydro-geophysical methods. Each chapter includes examples of recent developments in hydrogeology, groundwater, and hydrology that are underscored with perspectives regarding the challenges that are facing industry professionals, researchers, and academia. Several sub-themes-including theoretical advances in conceptualization and modeling of hydro-geologic challenges-connect the chapters and weave the topics together holistically. Advances in research are aided by insights arising from observations from both field and laboratory work.

The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow him to eschew the use of mathematics. The booka (TM)s first seven chapters expose the fuzzy logic principles, processes and design for a fruitful inference system with many hydrological examples. The last two chapters present the use of those principles in larger scale hydrological scales within the hydrological cycle.