Watershed is the basic scientific unit for planning and management of water resources.
Watershed Management is an integration of technologies within the natural boundaries of drainage area for optimum development of land, water and plant resources to meet the basic needs of the people in a sustained manner.
In watershed concept, development is not confined to agricultural lands alone but covers the entire watershed area, starting from the highest point (most remote point) or ridge line to outlet or nalla or natural stream.
The main objective of any watershed development and management program is “proper use of all available resources of a watershed for optimum production with minimum hazards to natural resources”.
The main aim of this course “Watershed Management” is to discuss various aspects of water resources development and management on watershed basis.
The various sections in the course will focus on the technical aspects of watershed management; perspectives on water management; skills of analyzing the complex issues in water management and on specific knowledge on issues of watershed management.
Each topic will be developed in logical progression with possible case studies and advancements in various areas.
Some of the important topics covered in this course include: basics of watershed developments and management, watershed modeling, Integrated Watershed Management, sustainable watershed approach, water quality management, storm water and flood management, drought management, use of modern techniques in watershed management such as remote sensing, Geographical Information System and numerical modeling.
This course will be very useful to undergraduate students, post‐graduate students, teachers, NGO’s and practitioners. A number of field problems will be discussed to illustrate the concepts clearly.
Contents:
Introduction and basic concepts; Watershed management practices in various regions; Sustainable watershed approach; Integrated watershed management; Watershed modeling; Use of modern techniques in watershed management;
Social aspects of watershed management; Management of water quality; Storm water and flood management; Drought management; Water conservation and recycling.
 

Watershed Management
Water Resources Systems : Modeling Techniques and Analysis
Course Description: The course introduces the concepts of systems techniques in water resources planning and management.
Course Contents
Introduction – Concepts of Systems and Systems Analysis; Systems Techniques in Water Resources : Optimization with methods using calculus; Linear Programming; Dynamic Programming; Simulation; Combination of Simulation and Optimzation; Mutliobjective Planning. Economic Considerations in Water Resources Planning; Reservoir Systems – Deterministic Inflow : Reservoir Sizing; Reservoir Operation – standard operating policy, optimal operating policy; multireservoir systems; Reservoir Systems – Random Inflow : Chance Constrained Linear Programming; Concept of Reliability; Stochastic Dynamic Programming; Applications – Reservoir systems operated for Irrigation, Hydropower, Flood Control and Municipal and Industrial Supplies; Water Quality Control in River Stystems; Case Studies; Recent Modeling Tools – Artificial Neural networks, Fuzzy Inference Systems; Fuzzy Linear Programming;  

Stochastic Hydrology
The objective of this course is to introduce the concepts of probability theory and stochastic processes with applications in hydrologic analysis and design.
Modeling of hydrologic time series with specific techniques for data generation and hydrologic forecasting will be dealt with.
Case study applications will be discussed.
 

Stochastic Structural Dynamics
The objective of this course is to develop methods for analysis of structures subjected to dynamic loads which are random in nature.
Structures under the action of wind or earthquake loads are typical of such problems. The course introduces the application of probability, random variables and random processes to model uncertainties in dynamic loads.
The response analysis considers question of propagation of uncertainties in the inputs to the response variables of interest and also considers questions on reliability of vibrating systems under dynamic loads.
The course mainly deals with linear time invariant systems. A brief introduction to random vibration analysis of nonlinear systems is also provided. Solution strategies include analytical techniques and Monte Carlo simulation procedures.
 

Seismic Analysis of Structures
Seismology tectonic plates, causes of earthquake, soil effects, seismic hazard analysis;Earthquake inputs  spectrums, PSDFs, design spectrum, predictive relationship; Response analysis for specified ground motion  time and frequency domain analyses of structures for single and multi point excitations; Response spectrum method of analysis  equivalent lateral load, response spectrum method for classically and non classically damped systems, response spectrums given in different codes:
Spectral analysis for random excitations fundamentals of random vibration for spectral analysis, spectral analysis of structures for single and multipoint excitations; Inelastic analysis of structures  incremental analysis for SDOF and MDOF systems, push over analysis, ductility, inelastic spectrum  

Finite Element Analysis
Finite Element Method (FEM) is a numerical technique for solving differential equations that describe many engineering problems. Main reason for its popularity is that the method results in computer codes which are versatile in nature that can solve many practical problems with minimum training. Obviously, there is danger in using commercially available computer software without proper understanding of the theory behind them, and that is one of the reasons to have a through understanding of the theory behind FEM.
This video course on finite element analysis covers the fundamental concepts and is designed for a first course on finite elements suitable for upper division undergraduate students and beginning graduate students in civil, mechanical, aerospace, biomedical and industrial engineering, and engineering mechanics; researchers and design engineers in the above fields. The course presents the FEM as a tool to find approximate solution of differential equations and thus can be used by students from a variety of disciplines. Applications include analysis of structural frameworks, stress analysis, heat flow, and fluid flow.
Contents:
 

Environmental Air Pollution
Introduction to the course. Air pollution: A Retrospective. 
2 hours


Air pollution: sources & types and effects on biosphere. 
5 hours


National & International air emission standards; air pollution emission inventory; emission factor; air quality index; air pollution control laws 
6 hours


Stake holder analysis – role of CPCB, MoEF, DoI, NGOs & major R&D institutes. 
2 hours


Introduction to air pollution meteorology 
10 hours


Gaussian plume dispersion model: theory and application. 
7 hours


Air pollutant monitoring and control: SO2, NO2, particulates, Hydrocarbons 
5 hours


Urban air pollution: sectoral analysis; trends in major cities of India and government initiatives. 
5 hours


Introduction to indoor air pollution 
3 hours


Global effects of air pollution: Green house effects, acid rain and ozone layer depletion; international agreements for mitigating global air pollution effects. 
5 hours
