Hydrological Data Driven Modelling A Case Study Approach /

• Main Authors: Remesan, Renji (Author), Mathew, Jimson (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Earth Systems Data and Models ; 1
• Subjects: Earth sciences.; Hydrology.; Hydrogeology.; Engineering geology.; Engineering > Geology.; Foundations.; Hydraulics.; Earth Sciences.; Hydrology/Water Resources.; Geoengineering, Foundations, Hydraulics.

This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging...

Table of Contents:

• Introduction
• Hydroinformatics and Data based Modelling Issues in Hydrology
• Hydroinformatics and Data based Modelling Issues in Hydrology
• Model Data Selection and Data Pre-processing Approaches
• Machine Learning and Artificial Intelligence Based Approaches
• Data based Solar Radiation Modelling
• Data based Rainfall-Runoff Modelling
• Data based Evapotranspiration Modelling
• Application of Statistical Blockade in Hydrology.