M.U. Kale, M.S. Supe
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The hydroinformatics tools viz. simulation modeling, SCADA, remote sensing and GIS, artificial intelligence etc are now a days, generally used in the planning of water based systems. These are quite young technologies, but complex and so budding engineers could keep a safe distance from these courses. This book will serve as a single textbook having comprehensive information of all above topics in a single book. In this book, a wide and varied scope of hydroinformatics is concise in the simple language for easy understanding and remembrance of the readers. The aim of this book is to introduce the budding engineers with hydroinformatics and it’s tools for planning and management of water based systems. Each chapter describes basic preliminary information about the topic. This book will be helpful to undergraduate and postgraduate engineering students in preparation of the subject and research, thus giving wider application of hydroinformatics.
M.U. Kale Assistant Professor Dr. Panjabrao Deshmukh Krishi Vidyapeeth Akola, Maharashtra
M.S. Supe Senior Research Assistant Dr. Panjabrao Deshmukh Krishi Vidyapeeth Akola, Maharashtra
1.1 What is Data and Information?
1.2 Sources of Data
1.3 Information Science and Informatics
1.5 Tools in Hydroinformatics
1.6 Need and Applications of Hydroinformatics
1.7 Evolution of Hydroinformatics
1.8 Role of Internet and Web Technologies in Hydroinformatics and gathering of Data
2. Scada and Telemetry
2.2 History of Development of Telemetry
2.3 Applications of Telemetry in Agriculture and Water Management
2.5 Functions of SCADA System
2.6 Components of SCADA System
2.7 Evolution of SCADA System (Anonymous, 2015b)
2.8 Applications of SCADA
2.9 SCADA System for Managing Irrigation Water
2.10 Advantages of SCADA for Irrigation Systems
2.11 Distributed Control Systems (DCS)
3. Simulation Modeling
3.1 Basic Concepts
3.2 What is Model?
3.3 What is Simulation?
3.4 Classification of Models
3.5 Model Variables
3.6 Modeling Process
3.7 Role of Calibration and Validation in Modeling Process
3.8 Model Performance
4. Hydrologic Modeling
4.1 What is Hydrologic Model?
4.2 Why Hydrological Models are needed?
4.3 Hydrologic System Analysis (Chow et al. 1988)
4.4 Inputs and Output of Hydrological Model
4.5 Methodology for use of Hydrologic Models
4.6 Classification of Hydrological Models
4.7 Uses of Hydrologic Models
4.8 What is Sensitivity Analysis?
4.9 Popular Hydrological Models
5. Stochastic Modeling
5.1 What is Stochastic System?
5.2 Errors Associated with Model Predictions
5.3 Dealing with Errors in Hydrological Model Output
5.4 Basic Statistics
5.5 Random Variable
5.6 Probability Distribution
5.7 Time Series Analysis
5.8 Types of Time Series
5.9 Stochastic Models
5.10 Uses of Stochastic Models
6. Artificial Intelligence
6.1 Historical Background
6.2 Artificial Intelligence (AI)
6.3 Artificial and Natural Intelligence
6.4 Source of Human Intelligence
6.5 Turing Test
6.6 Relationship to Other Disciplines
6.7 Topics Usually Covered under AI
6.8 Applications of AI
6.9 Fuzzy Logic
7. Artificial Neural Network
7.1 What is Artificial Neural Network?
7.2 Common Terms used in ANN
7.3 Characteristics of ANN
7.4 Advantages and Disadvantages of ANN
7.5 Where can Neural Network systems help?
7.6 Structure and Working of ANN
7.7 Training of ANN
7.8 Size of Topology
7.9 Types of ANN
7.10 Types of Learning Rule
7.11 Transfer Function
7.12 How to Formulate an ANN model?
7.13 Applications of ANN
7.14 History of ANN in Hydrological Studies
7.15 Application of ANN in Rainfall-Runoff Modeling – A Case Study
8. Remote Sensing
8.1 What is Remote Sensing?
8.2 8.2 Principles of Remote Sensing
8.3 Classification of Remote Sensing System
8.4 Different Stages of Remote Sensing Process
8.5 Electromagnetic Spectrum used in Remote Sensing and it’s Energy Interaction with Earth Surface Features
8.7 What is Satellite Imagery and Binary System?
8.8 What is Pixel?
8.10 True or Natural Colour Image and False Colour Image
8.12 Remote Sensing Related Terms
8.13 Common Abbreviations used in Remote Sensing
8.14 Applications of Remote Sensing
8.15 Indian Satellites
9. Geographic Information System
9.1 What is GIS?
9.2 Need of GIS
9.3 Components of GIS
9.4 Data Structures in GIS
9.5 Map Data Representation in GIS
9.6 Capabilities of GIS Technique
9.7 Applications of GIS in Agriculture
9.8 Applications of GIS in Water Resources
9.9 Role of GIS in Irrigation Planning
9.10 GIS software - ArcView
10. Commonly Required Crop Data
Scada and Telemetry
Artificial Neural Network
Geographic Information System
Commonly Required Crop Data