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EESH 411: SURFACE WATER MODELLING

Purpose of the course

  • This course aims at developing a quantitative approach to understanding, estimation, and prediction of different components of the hydrologic cycle.

Learning outcomes

After completion of the course, the student should be able to:

  • Describe the application of different types of models in hydrology, including model calibration, validation and uncertainty;
  • Use hydrological models for flood forecasting, water resources assessment, impact assessment of climate change and land-use change;
  • Evaluate hydrological models with respect to their applications on gauged and un-gauged basins and on stationary/non-stationary climatic conditions

Content

Hydrologic models, system approach; components of system & system representation; general theory of mathematical modeling, taxonomy of hydrologic models; model formulation, model development, model calibration, parameter optimization, validation of runoff models and their inherent uncertainty; stochastic models: concepts and definitions of stochastic processes, classification of hydrological time series, analysis of hydrological time series (WETSPRO); Monte Carlo generation of synthetic time series; application of rainfall-runoff models; HEC-HMS, SWAT, MIKE 11-NAM, case studies.

Mode of Delivery

Lectures, computer exercises, project work, library research, demonstration, group-based learning, and e-learning.

 

Course Assessment

  • Continuous assessment tests (Computer assignments & project work - 30 marks),
  • Written examination (70 marks).

 

 

 

Core Reading Materials for the Course

 

  1. Chapra, S. C. (1997). Surface Water-Quality Modeling, McGraw-Hill Series in

Water Resources and Environmental Engineering, McGraw-Hill, New York.

  1. Willems, P. (2009). A time series tool to support the multi-criteria performance evaluation of rainfall-runoff models. Environmental Modelling and Software Vol: 24, Elsevier, 311–321.

3.      Neistch, S. A. (2011). Texas Water Resource Institute Technical Report No-406 Soil and Water Assessment Tool, Theoretical Documentation Version 2009. Texas: Grassland Soil and Water Research Laboratory-ARS, Backland Research Center,TAMU.

 

4.      Neitsch, S., Arnold, J., Kiniry, J., Srinivasan, R., and Williams, J. (2004). Soil and water assessment tool; Input/output file documentation. Version 2005. Texas: Grassland soil and water research laboratory; Agricultural Research Service.

 

  1. Viessman, W.J and Lewis, G.L (2003): Introduction to Hydrology. Prentice Hall, Upper Saddle River, New Jersey.
  2. USACE (United States Army Corps of Engineers), (2010). Hydrologic Modeling System - HEC-HMS: User’s Manual Version 3.5, USACE, Davis, CA, USA (2010).

 

Recommended Reference Materials

 

  1. McCuen, R.H. (1989). Hydrologic analysis and Design. Prentice Hall, Englewood Cliffs, New Jersey 07632.

2.      Chow, V., Maidment, D., and Mays, L. (1988). Applied Hydrology. New York. McGraw-Hill.

  1. Bras, R.L. (1990). Hydrology: An introduction to Hydrologic Science. Addison-Wesley Publishing Company.

Jaya, R.R. (2008).  A Textbook of Hydrology. University Science Press, New Delhi.

EESH 221: BASIC HYDROLOGY

Purpose of the course

·         To understand the processes in the hydrological cycle and their measurements.

 

Expected Learning Outcomes of the Course

  • Define, explain and correctly use terms and concepts used to describe basic physical hydrologic processes including evaporation, transpiration, precipitation, infiltration, ground-water flow and surface runoff.

·         Explain the hydrologic cycle and the ways that humans impact and interact with it.

  • To describe methods to measure the various processes in the hydrological cycle.

Course Content

Definitions:  Hydrology; hydrological cycle; hydrological processes: precipitation; Evapotranspiration and evaporation; infiltration; percolation, condensation Interception, surface storage, interflow, runoff; stream flow; water balance equation – global and regional water budgets; fluid mechanics of the lower atmosphere; water vapour in the air (atmospheric water); hydrostatics and atmospheric stability, meteorological measurements, precipitation producing mechanisms, Precipitation analysis: sources of gaps in rainfall records, methods of filling gaps, consistency; test for consistency using mass curve,  methods of estimating areal rainfall:  Arithmetic mean; Thiessen polygon and Isohyetal methods; analysis of storm precipitation; Depth/Area/Duration; surface and ground water systems.

 

Mode of Delivery

  • Lectures, library research, demonstration, group-based learning, and e-learning. 

 

Instructional Materials and/or Equipment

  • Computers; Projector, charts, staff gauge, current meter, evaporation pan; hydrological data; raingauge.

 

 

Course Assessment

·         Continuous assessment tests (sit-in CAT and term paper- 30%),

·         Final semester examinations -70%.

 

Core Reading Materials for the Course

  1. Bras, R.L. (1990). Hydrology: An introduction to Hydrologic Science. Addison-Wesley Publishing Company.
  2. Jaya, R.R. (2008).  A Textbook of Hydrology. University Science Press, New Delhi.

Recommended Reference Materials

  1. McCuen, R.H. (1989). Hydrologic analysis and Design. Prentice Hall, Englewood Cliffs, New Jersey 07632.
  2. Raghunath, H. M. (2006).  Hydrology. New Age International (P) Limited, Publishers, new Delhi

COMMON/CORE COURSES

HUMAN RESOURCE MANAGEMENT

Purpose: The purpose of this course is to  equipping the learner with human resource management practices in the organization set up.

 

Expected Learning Outcomes

1.      Explain how human resource management concepts can be applied in the work environment set-up.

2.      Describe the role of human resource professionals in organizations.

3.      Identify the challenges faced by managers of human resources and discuss measures of cubing the challenges

4.      Discuss the role of human resource management in attracting and retaining the workforce


INDUSTRIAL PHSYCHOLOGY

P


Mathematical Physics II

1. Purpose of the Course This is a second course in Mathematical Physics, and equip the students with more mathematical skills required in other branches of physics. The course covers complex numbers, tensors, multivariate calculus and Green’s function. 2. Course Objectives At the end of the course, students should be able to: 67 a) Achieve an understanding and appreciation of some mathematical techniques which are widely used in theoretical physics; b) Convey physical concepts with mathematical and computational tools and to derive quantitative predictions from models; c) Apply knowledge of phenomenological physics to solve problems in physics; d) Effectively communicate scientific information in a mathematical format 3. Course Content Functions of a complex variable: summary of complex algebra. Complex differentiation and the Cauchy-Riemann equations. Complex integration and Cauchy’s integral theorem. Cauchy’s integral formula. The Laurent series and residue theorem. Applications of the residue theorem in the evaluation of integrals and series. Tensors: Coordinate transformation and definition of scalar and vector in terms of the transformations. Definition of tensor and rank of a tensor. Definition of rank zero (scalar), rank one (vector) and rank two (tensor). Tensor algebra-addition, subtraction, contraction, direct product and the quotient rule. Axial and polar vectors and extension to definition of pseudo-tensor. Calculus of variations: The concept of variation leading to Euler’s equations for one dependent and one independent variable. Generalizations to (i) more than one independent variables, (ii) more than one dependent variables and (iii) more than one of both independent and dependent variable. Constraints and Lagrangian multipliers. Green’s function: Definition and properties of Green’s function. Solution of differential equations using Green’s function method. Introduction to Green’s function in two and three dimensions. 4. Modes of Delivery: Lectures, Tutorials and discussion. 5. References: a. K. F. Riley, M. P. Hobson and S. J. Bence (2006). Mathematical Methods for Physics and Engineering (3rd Edition). Cambridge University Press; ISBN13 978-0-511-16842-0 b. Vaughn M. T. Introduction to Mathematical Physics. Wiley VCH; ISBN 978-3-527-40627-2 c. James Nearing. Mathematical Tools for Physics (Self Published eBook www.physics.miami.edu/nearing/mathmethods/

Plant Genetics

Research Methodology

Purpose of the Course

This course aims at equipping students with the necessary research tools that will enable them to solve problems at their work environment and society as a whole.