Project Proposal
Examining
Wildfire Hazard Potential in the western United States with GIS
Lexie
Lill
Siena
College School of Science
Loudonville,
NY 12211
September
24, 2018
Introduction
A
wildfire is a large unplanned fire that takes place in a rural and vegetated
area. Wildfires have the ability to destroy homes and kill humans and animals.
They are usually started accidentally by humans or by a lightning strike that
reaches the ground. During time spans of little precipitation, increased temperatures,
and increased winds, the risk of a potential wildfire in an area increases
dramatically.
The
western United States tends to have an increased number of wildfires each year
in comparison to other regions. Along with having an increased number of
wildfires, the western United States is home to many National Parks. These
National Parks are constantly being threatened by the potential risk of a
wildfire. Inside of these National Parks contain very unique ecosystems with
rare species of animals, insects, and plants that should be spared of possible
danger.
A
GIS model will be created in order to predict the wildfire hazard potential
surrounding National Parks in the western United States. This wildfire hazard
potential will be based on annual average precipitation totals, average monthly
temperatures, and annual average winds. The model will be able to provide
insight into why National Parks in the western United States experience a
greater potential risk of wildfires.
Objectives
This
project will discover if a GIS model based on environmental factors at National
Parks in the western United States can be used to determine the wildfire hazard
potential surrounding the parks. The specific objectives include:
· Compare wildfire hazard potential to annual average precipitation totals
·
Compare wildfire hazard potential to annual average winds
·
Compare wildfire hazard potential to average monthly temperatures
·
Developing
a model to predict wildfire hazard potential inside and surrounding National Parks
in the western United States
Methodology
This
GIS analysis will use correlation methods in order to determine the relationship between the National Parks in the western United States and wildfire hazard
potential. A model will be created to determine this based on annual average
winds, average monthly temperatures and annual average precipitation totals.
The end product will provide a map including the predicted wildfire hazard
potential based on these environmental conditions for each National Park in the
western United States.
Deliverables
The
final map will display wildfire hazard potential surrounding National Parks in
the western United States. This map will show the average annual precipitation,
the average annual winds, and the average monthly temperature. The combination
of these three variables will be able to calculate the wildfire hazard
potential surrounding and inside a certain National Park because these are the
top three variables that contribute to wildfires in the western United States.
This will be able to provide insight to travelers on the potential wildfire
hazard potential at a specific National Park.
Data Sources
Data.gov
National Land Cover Database (NLCD) Percent Tree Canopy Collection (2015) [shapefile]
U.S. Geological Survey, custserv@usgs.gov.
https://catalog.data.gov/dataset/national-land-cover-database-nlcd-percent-tree-canopy-collection
Western
Wind Data Set (2007) [shapefile] National Renewable Energy Laboratory https://www.nrel.gov/grid/western-wind-data.html
Annual
Average Precipitation (PRISM Model) (2018) [shapefile] Spatial Climate Analysis
Service. oregon@coas.oregonstate.edu.
https://catalog.data.gov/dataset/average-annual-precipitation-prism-model-1961-1990
North
America Climate – Monthly Mean Temperature (2011) [shapefile] USGS, sciencebase@usgs.gov. https://www.sciencebase.gov/catalog/item/4fb5528ee4b04cb937751d9e
National
Park Boundaries (2009) [shapefile] The Earth Data Analysis Center, University
of New Mexico, roger_m_johnson@nps.gov.
https://catalog.data.gov/dataset/national-park-boundariesf0a4c
Work Plan
Week
6 – Download and compile data from sources
Week
7 – Import data into ArcMap, making sure it is unzipped
Week
8 – Query/clip all data sources so only the western United States is displayed
Week
9 – Perform regression analysis between variables. This will be able to prove
wildfire hazard potential
Week
10 – Analyze results from regression analysis to determine correlations between
variables
Week
11 – Finalize maps
Week
12 – Begin to create project poster for maps
Week
13 – Finalize poster
Week
14 – Put finishing touches onto maps and posters and turn it in
Sources:
This looks great, Lexie. Nice job! I like the idea of using regression models, but we won't be covering those in class so it'll be up to you to get the tools to work. If you get stuck, just let me know. Best, Dr. M
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