Mathematical And Statistical Techniques In Hydrology

Recently, mathematical models have taken over the most important tasks in problem solving in hydrology. The development and application of hydrological models have gone through a long time period, the remarkable dates in the history of the development of hydrological models. Like many things in science, in hydrology we can observe different processes and understand the relationships between them. With years and years of experience and wisdom, geo scientists have been able to create a blueprint for processes of water known as the hydrocycle. The importance of hydrology is increasing because of the global growth of water needs and the rise of water scarcity, which together cause greater risk and unreliability in water resources management. The basic task of hydrology, which is fundamental for water resources management, is the accurate definition and control of the water balance for different space and time increments.

This volume provides wide-ranging practical expositions of Mathematical and Statistical Techniques commonly used in hydrology as they pertain to space-time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance. While many of the mathematical and statistical nations have quite classical mathematical roots, the data structure has led to many variations on the problems and theory. The main purpose of using hydrological models in the teaching process is not to duplicate the complicated hydrological process in detail by a sophisticated model, but to demonstrate the principal elements of the process, their combination into a simple or comprehensive model, and the importance of the model in solving typical problems of engineering hydrology.

This monograph serves as valuable tool for students and practitioners of hydrology, as their aim, generally, is to study and understand hydrology, and not to find themselves dealing with material that even students of mathematics would find difficult.