JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

GEOSPATIAL TECHNIQUES FOR WATER AND ENVIRONMENTAL ENGINEERING

M.Tech I Year II Semester (R17)

Course Objective

To understand the application of Remote sensing and GIS for water and

environment management

Course Outcome

at the end of the course the student will able to learn to use the geospatial tools in

water resources and environmental models, Estimate and analyze, Apply the geospatial methods for planning and design of water resources systems, Identify the geospatial tools for understanding the environmental systems the spatio-temporal quantification of water resources

UNIT - I

Surface-Water Hydrologic Data, Spatial techniques for Surface-Water Hydrology Modeling, Surface- Water Hydrology Models, ArcSWAT model and its applications; Groundwater Data, Ground water Models and spatial techniques for Groundwater Modelling and Visualization, The ArcHydro Data Model.

UNIT - II

Geospatial techniques for planning and design of Water-Supply and Irrigation Systems, Spatial Database Development for Wastewater and Storm water Systems, GIS-Based Wastewater Collection System Design and Management Applications, GIS-Based Decision-Support Systems for Wastewater and Storm water Systems.

UNIT - III

Geospatial technologies for Water Resources Monitoring and Forecasting; Spatial Decision-Support Systems in River Basin Management; Spatial systems for floodplain mapping and management.

UNIT - IV

Spatial techniques for Water Quality Monitoring and Modeling, GIS for Water-Quality Database Development, GIS for Water-Quality Management Decision Support

UNIT - V

axonomy of Environmental Models in the Spatial Sciences. Geographic Data for Environmental Modeling and Assessment. Applications of Remote Sensing and Geographic Information Systems in Wildlife Mapping and Modeling. Land Use Planning and Environmental Impact Assessment Using Geographic Information Systems.

TEXT BOOKS:

  • 1. Lynn E. Johnson, Geographic Information Systems in Water Resources Engineering, CRC Press, 2008.
  • 2. Allan Brimicombe, GIS, Environmental Modeling and Engineering, Second Edition, CRC Press, 2009.

REFERENCES:

  • 1. Andrew Skidmore (Editor, Environmental Modelling with GIS and Remote Sensing, CRC Press), 2002.
  • 2. Praveen Kumar, Mike Folk, Momcilo Markus and Jay C. Alameda, Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling, CRC Press, 2005. M. Tech – I Year – II Sem. (GIST)

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