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GIS in water resources engineering
( saavedra oliver  )


Thr 7-8Session M112

Credits  Lecture:1  Practice:1  Experiment:0 / code:61080
Update : 2012/7/26
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Spring Semester

Outline of lecture
This lecture supports students to get benefit from Geographical Information Systems (GIS) tools in water resources engineering. It introduces concepts of spatial coordinate systems, and raster and vector data types. The procedures of surface analysis using Digital Elevation Models (DEM) to the watershed delineation, including river networks are studied. In addition, the preparation of thematic data is introduced. Actually, this includes the sources of GIS input data from advanced on-site observations, Global Positioning System (GPS) and remote sensors. Then, different applications in ecological assessment of rivers, water supply and water management are reviewed. By the end of the lecture, a final project should be submitted by students applying GIS to address a specific topic of interest. Hands-on learning followed by theory introduction is expected.
Purpose of lecture
To expose students to the emerging technology of GIS. It is expected that participants are able to apply the theory from lectures and self-study in to the a real problem to be solved using GIS tool. Students should carry out the exercises and final project by their own.
Plan of lecture
1. Application of Geographic Information Systems in Water Resources
2. GIS data and databases
3. Coordinate systems and geo-coding
4. GIS analysis functions
5. How to delineate a watershed from a DEM
6. How to prepare Soil and land-use data
7. How to prepare precipitation data
8. GIS for water supply
9. GIS for floods and droughts
10. Application of remote sensing data in Hydrology
Textbook and reference
TEXTBOOK:
Geographical Information Systems (GIS) tools in water resources engineering, Lynn E. Johnson, 2009

REFERENCE BOOKS:
Getting to know ArcGIS, ESRI, 2010
GIS for water resources and watershed management, John G. Lyon, 2003
Arc Hydro, GIS for water resources, David R. Maidment, 2002
Essential image processing and GIS for remote sensing, Jian G. Liu and Philippa J. Mason, 2009
Remote sensing and GIS technologies for Monitoring and Prediction of disasters, Shailesh Nayak and Sisi Zlatanova, 2010.
Related and/or prerequisite courses
This course requires some basic knowlegde of hydrology and geography. It will be used ArcGIS software including spatial analyst and 3D Analyst.

Necessary guidance will be provided but effort and motivation is expected from participants. We had already prepared licenses at common PC station in our Department.
Evaluation
Mid-term 25%
Exercises/Assignments 20%
Final Written exam 25%
Final project 30%

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