What This Document Is
This is a detailed project assignment for an Applied Geographic Information Systems (GIS) course, specifically focused on environmental applications. The assignment centers around a real-world case study involving the Suwannee River Water Management District (SRWMD) in northern Florida and the Floridan Aquifer system. It requires students to utilize GIS software and spatial data to analyze environmental factors impacting groundwater vulnerability. The project involves working with multiple layers of geospatial data to model and assess potential contamination risks.
Why This Document Matters
This assignment is crucial for students enrolled in GIS courses with an environmental science or hydrology focus. It’s particularly valuable for those seeking to apply GIS skills to practical problems in water resource management and environmental protection. Students will gain hands-on experience in data manipulation, spatial analysis, and map creation – skills highly sought after in environmental consulting, government agencies, and research positions. This project is best utilized *after* foundational GIS concepts have been covered in coursework.
Common Limitations or Challenges
This assignment outlines the project scope and data requirements, but it does *not* provide step-by-step instructions on how to perform the GIS analysis. Students are expected to have a working knowledge of GIS software and analytical techniques. The document also doesn’t include pre-calculated results or interpretations; the analysis and conclusions are the responsibility of the student. Access to the necessary GIS software and the project data files (available separately) are also required to complete the assignment.
What This Document Provides
* A comprehensive overview of the SRWMD project and its objectives.
* A description of the Floridan Aquifer system and its importance.
* Identification of the key parameters used to assess aquifer contamination susceptibility.
* A list of the specific geospatial datasets required for the project (shapefiles and associated database files).
* Details regarding the coordinate system used for the data.
* The formula used to calculate a composite contamination susceptibility score.
* Classification rules for specific parameters like aquifer confinement and recharge potential.
