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.
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, and environmentalists.
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