Laboratory Exercise X Most Dangerous Places to Live in the United States Based on Natural Disasters

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Brigham Young University BYU ScholarsArchive Engineering Applications of GIS - Laboratory Exercises Civil and Environmental Engineering 2016 Laboratory Exercise X Most Dangerous Places to Live in the United States Based on Natural Disasters Joshua Alpers Luke Kevan Santiago Tovar Follow this and additional works at: https://scholarsarchive.byu.edu/gislabs Part of the Civil Engineering Commons, and the Geographic Information Sciences Commons Recommended Citation Alpers, Joshua; Kevan, Luke; and Tovar, Santiago, "Laboratory Exercise X Most Dangerous Places to Live in the United States Based on Natural Disasters" (2016). Engineering Applications of GIS - Laboratory Exercises. 21. https://scholarsarchive.byu.edu/gislabs/21 This Article is brought to you for free and open access by the Civil and Environmental Engineering at BYU ScholarsArchive. It has been accepted for inclusion in Engineering Applications of GIS - Laboratory Exercises by an authorized administrator of BYU ScholarsArchive. For more information, please contact scholarsarchive@byu.edu.

GROUP PROJECT: US HISTORICAL NATURAL DISTASTERS By: Los Cachacos Joshua Alpers, Luke Kevan, and Santiago Tovar Graduate Students Department of Civil and Environmental Engineering Brigham Young University Provo, UT 84602 For: Daniel P. Ames, Ph.D. CEEn 414 Engineering Applications of GIS Department of Civil and Environmental Engineering Brigham Young University Provo, UT 84602 December 8, 2016

Laboratory Exercise X Most Dangerous Places to Live in the United States Based on Natural Disasters Background Problem Statement This laboratory assignment simulates the most dangerous places to live in the United States based on natural disasters. The natural disasters that will be used in this assignment include wild fires, earthquakes, landslides, hurricanes, tornadoes, and flooding. These inputs will be required in creating a heat map of the United States showing what locations are most likely to have a high probability of natural disasters. Spatial Considerations For this exercise, you will limit the factors with which you are concerned to the following: River Flood Plain: we know floods occur near rivers, however, a big concern is how far out the flooding goes from the river. We will assign specific conservative distances from the river, in order to represent the flood plains surrounding rivers. Data http://www.fs.usda.gov/rds/archive/product/rds-2015-0046 Wild Fires: To download this data you need to follow the link provided. At the bottom of the page you will see a link that says data publication. Follow this link and you will download a raster that contains fire hazard across the US. http://earthquake.usgs.gov/hazards/hazmaps/conterminous/index.php#2016 Earthquakes: You will need to download a map of historic ground motions based on past earthquakes. Follow the link provided, and under the year 2014 select the GIS Shapefiles link. This downloads a shapefile of ground motions based on path Earthquakes. http://www.spc.noaa.gov/gis/svrgis/ Tornadoes: You will need to download the free shapefile of tornadoes in the United States. This can be done by following the link and clicking the Download torn.zip. This zip file contains data that can be used in ArcMap to map tornadoes that have occurred between 1950 and 2015. https://www.arcgis.com/home/item.html?id=290e4ab8a07f4d2c8392848d011add32 Flooding: you will need to download the USA Major Rivers shapefile that is provided by ArcGIS. After following the link there is a download button on the right hand side of the

page. These rivers will have to be buffered using a multiple ring buffer tool in order to get carrying flood threat levels for the major rivers in the United States. http://landslides.usgs.gov/hazards/nationalmap/ Landslides: You will need to download a shapefile of landslide hazard from the USGS website. The link provided will take you to the USGS website. On the right hand side of the page click the link Shapefiles of the landslide data. You will then have a shapefile of the landslide hazard across the US. http://www.mapcruzin.com/natural-disaster-shapefiles/hurricane-arcgis-shapefiledownload.htm Hurricanes: The last set of data needed for this project is hurricane data. This shapefile is of the path of hurricanes that have occurred in the US in the past. Part of this data is the category of the hurricane, this is what we will use to determine the danger. Additionally, a shapefile of the United States needs to be downloaded for use in this assignment. ModelBuilder Tools Throughout this exercise the following tools will be used: Project is a ModelBuilder tool that can be used to project one set of spatial data from one coordinate system to another. In this laboratory assignment the project tool will need to be used in order to get all of the data into the same coordinate system. Multiple Ring Buffer is a tool that allows the user to project multiple buffers around spatial data sets at specified distances. These buffers can be optionally merged and dissolved using the buffer distance values to create non-overlapping buffers. This tool will be used specifically on the major rivers and hurricane shapefiles. It will be used to generate a higher threat level closer to historical hurricane paths and to the rivers. Buffer is useful tool that creates a buffer around data files at specified distances. The buffer tool will be used on the tornado files to illustrate the threat of the tornadoes over a distance because tornadoes do not necessarily follow the same path every time they appear in a certain area. Polygon to Raster is a tool that can be used to change points, lines, and other polygon features into raster format. By changing data into raster format other important computational tools can be used in order to solve the problems at hand. In this laboratory assignment the Polygon to Raster tool will be used to transform all of the data sets, with the exception of the wildfires data set, from a polygon feature into a raster data set. Reclassify is a useful tool used to change the values of items in a raster. This tool will be used to rate the danger level of the natural disasters on a scale of one to five with five being the highest threat level. Raster Calculator is a tool that allows the user to do math equations using spatial data in ArcGIS. This tool will allow you to multiply and add rasters together in order to combine the threat levels of all of the natural disasters together.

Example Model

Step by Step Solution For an advanced GIS student, the information up to this point is all you need to complete the assignment and create an output map from the results. Feel free to try conducting the analysis using only the information provided above. If you need specific steps, follow the instructions. Step 1 The first thing that needs to be done outside of the ModelBuilder functions is the intersect tool needs to be used on the United States shapefile and the hurricane data. If these are not in the same projections they both need to be projected so that they are in the same projections in order to increase accuracy. This will greatly reduce the amount of hurricane data that will be used in the computational process. This is important because it will not only reduce the amount of time spent by the program processing the data, but we only care about the hurricane data that impacts the United States. Step 2

The second step of this assignment is to use ModelBuilder to project all of the shapefiles into the correct datum. The creators of this laboratory assignment used the WGS 1964 World Mercator projection, but the user may choose a different projection if they feel it is better. Remember, that all of the input shapefiles and rasters must be in the same projection in order to work accurately. Step 3 The next step would be to buffer the various shapefiles in order to realistically see where each of the natural disasters are going to impact. A normal buffer will be used for the tornadoes data. For this laboratory exercise due to the amount of tornado data that we have a buffer of only one mile will be used. Step 4 Step 4 of this process includes using two multiple ring buffers on the hurricane data and the USA major rivers data. This was done because the threat level for each of those natural disasters is higher the closer they are to the center of those shapefiles. Images of the tools are included below for your convenience. The rivers should be buffered at five increments including 0.25, 0.5, 0.75, 1, and 2. The units that should be used are miles.

Generally speaking, hurricanes affect a larger area so a multiple ring buffer tool should be used as well but as increments of 1, 2, 3, 4, and 5 miles. A picture of the tool is included below.

Step 5

The next step in the process is to change all of the polygon files to rasters. All of the input files, with the exception of wildfires, are polygon files and will need to be changed into raster format. It is important that all of the rasters have the same cell size. The creators used a larger cell size of 1000 in order to make the processing time faster. You may choose to have a larger cell size if you wish to further decrease the computational time. Just remember, that if the cell size is increased that the accuracy and definition of the overall model will be decreased. An example of the tool can be seen below. Step 6 See the picture from ModelBuilder above for extra reference. Each of the data sets needs to be reclassified. The reclassify tool will be used to rate the danger level of the natural disasters on a scale of one to five with five being the highest threat level. Remember that the closer the value is to the center the higher the threat level will be. Each of the rasters have a range of values. The values should be divided into five categories. This can be done by selecting classify, then by the number of divisions to 5. Due to outliers in the data, the best way to get more representative results is to change the type of distribution to quantile. This will break up the values into equal quantiles, based on average and standard deviation, and better represent the data. Each of these sections will be given a threat value between one and five with five being the highest threat level. An example of the reclassify tool can be seen below. It is also important to note that landslide hazard data only has one value. This value should be reclassified to 5, so that it has an impact when combined with the other hazard data.

Due to the highest risk being closest to the rivers the value of 0.25 miles is given the new value of a threat level of 5 while 2 miles away is given the lowest value of 1. The user needs to make sure that all of the data sets have the NoData section labeled as a value of 1 otherwise when these rasters are multiplied together only areas that have a threat from each of the categories will have any data. The default value for the least amount of threat needs to be a 1.

Step 7 Deliverables Using the data described above, construct a single ModelBuilder model that will prepare all of the input data for the US Historical Natural Disasters; and then conduct the analysis. As noted previously, this analysis is to be done for the United States and all other results outside of the United States should be clipped off. Only consider the six inputs included in this assignment. Prepare a report in the form of a word document that contains a screenshot of your model that clearly shows all elements of the model, a list of the steps that were taken in the model building process, and a final map of your results. Make sure to review the rubric at the end of this chapter for the full requirements of the laboratory exercise. References http://www.fs.usda.gov/rds/archive/product/rds-2015-0046 http://earthquake.usgs.gov/hazards/hazmaps/conterminous/index.php#2016 http://www.spc.noaa.gov/gis/svrgis/ https://www.arcgis.com/home/item.html?id=290e4ab8a07f4d2c8392848d011add32 http://landslides.usgs.gov/hazards/nationalmap/ http://www.mapcruzin.com/natural-disaster-shapefiles/hurricane-arcgis-shapefiledownload.htm

Example Map

Rubric for Most Dangerous Places to Live Item Points Assignment Title, Author Name, Date, Course Name /5 Brief summary of the requirements of the project and why this projec is useful /5 Describe your model -List each of the tools used: (2 pts) -List tool settings applied for the analysis (could someone repeat the assignment using your lab report?): (2 pts) -List all input, intermediate, and output datasets: (2 pts) /10 -Describe each input dataset including type (point, line, polygon, raster) and the source of the data: (2 pts) -Describe each output dataset (point, line, polygon, raster): (2 pts) -One full page(8.5x11) showing your model (5pts) -All text is readable (at least 10 point font) (3 pts) -All tools and data sets are shown (2 pts) -Describe the areas that are most hazardous for people living in that area. (3 pts) -Describe any indescressions you may detect in the logic of the data, and describe what can be done to fix it? (4pts) Make a full page (8.5x11) map showing the results of your hazard analysis. -Map title: (1 pt) -Neat line: (1 pt) -North Arrow: (1 pt) -Scale Bar: (1 pt) -Text box with author name, date, map projection: (1 pt) -The most obvious hazard areas are clear: (3 pts) -All datasets clearly symbolized: (1 pt) -Visible basemap: (1 pt) -Data points showing existing cell phone towers: (1 pt) -Zoomed to an appropriate scale for viewing analysis results: (1 pt) -All text is legible on printed map: (1 pt) Bonus Task: Repeat the lab exercise with a different set of data. Include in your report what data you used, how you aquired it, what, if anything, you changed to complete the exercise work. Also include an additional full page map showing your results. /10 /7 /13 Instructors Discretion