TY  - BOOK
AU  - Remesan,Renji
AU  - Mathew,Jimson
TI  - Hydrological Data Driven Modelling: A Case Study Approach 
T2  - Earth Systems Data and Models,
SN  - 9783319092355
U1  - 551.48011 23
PY  - 2015///
CY  - New York
PB  - Springer international
KW  - Engineering geology
KW  - Hydraulics
KW  - Hydrogeology
KW  - Hydrology
KW  - Geoengineering
N1  - CONTENTS

1   Introduction

    1.1 Modelling in Hydrology
    1.2 Stochastic Modelling case studies in this book
    1.3 Why do you read this book

2   Hydroinformatics and data-base Modelling issues in Hydrology

      2.1 Hydroinformatics
      2.2 Why overfitting and how to avoid
      2.3 Input variable (Data) selection
     2.4 Redundancy in input data and model
     2.5 Data-base modelling-  Complex Uncertainty
etc

 3 Model data selection and data pre-processing approaches

      3.1  Implementation of Gamma test
      3.2  Implementation of entropy theory
      3.3  Implementation of AIC and BIC
      3.4 Implementation of cluster analysis
etc

4  Machine learning and artificial intelligence-Based Approaches

    4.1 Transfer function Models
    4.2 Local linear regression model
    4.3 Artificial Neural networks model
    4.4 Training Algorithms
etc

5   Data Based solar radiation modelling

     5.1 Introduction
     5.2 Statistical indices for data based model comparison
     5.3 Data based six-hourly solar radiation modelling
     5.4 Data based daily solar radiation on beas database
etc

6  Data based rainfall-runoff modelling

      6.1  Introduction
      6.2 Study area: Brue catchment
      6.3 Statistical Indices for comparison
     6.4  Data selection approaches in data based Rainfall-Runoff modelling
     6.5 Data Based Rainfall: Runoff Modelling
     6.6 Conclusions

 7  Data-Based Evapotranspiration modelling

       7.1 Introduction
       7.2 Study Area
       7.3 Statistical Indices for model comparison
       7.4 Modelling with traditional reference environment
       7.5 Data-based evaporation modelling : Data selection approaches
etc

 8   Application of statistical Blockade in hydrology

       8.1  Introduction
       8.2 Statistical Blockade steps
       8.3 Cas  study in hydrology
       8.4 Conclusions





; Includes Index: p.249-250
ER  -