Climate change and global warming results in natural hazards, including
flash floods. Flash floods can create blue spots; areas where transport
networks (roads, tunnels, bridges, passageways) and other engineering
structures within them are at flood risk. The economic and social impact of
flooding revealed that the damage caused by flash floods leading to blue spots
is very high in terms of dollar amount and direct impacts on people’s lives.
The impact of flooding within blue spots is either infrastructural or social,
affecting lives and properties. Currently, more than 16.1 million properties in
the U.S are vulnerable to flooding, and this is projected to increase by 3.2%
within the next 30 years. Some models have been developed for flood risks
analysis and management including some hydrological models, algorithms and
machine learning and geospatial models. The models and methods reviewed are
based on location data collection, statistical analysis and computation, and
visualization(mapping). This research aims to create blue spots model for the State of
Tennessee using ArcGIS visual programming language (model) and data analytics
pipeline.
References
[1]
Baby, S. N., Arrowsmith, C., Liu, G. J., Mitchell, D., Al-Ansari, N., & Abbas, N. (2021). Finding Areas at Risk from Floods in a Downpour Using the Lidar-Based Elevation Model. Journal of Civil Engineering and Architecture, 15, 1-16.
[2]
Balstrøm, T., & Crawford, D. (2018). Arc-Malstrøm: A 1D Hydrologic Screening Method for Stormwater Assessments Based on Geometric Networks. Computers & Geosciences, 116, 64-73. https://doi.org/10.1016/j.cageo.2018.04.010
[3]
Bliss, J. (2020). Mitigating Disaster: Costly Cycle of Flood Damage and Repair Inspires Changes in Tennessee. The Tennessean. https://www.tennessean.com/story/news/local/2020/05/01/tennessee-works-mitigate-future-disaster-after-2010-flood-losses/3060919001/
[4]
Environmental Systems Research Institute (ESRI) (2022). What Is ModelBuilder? https://pro.arcgis.com/en/pro-app/2.8/help/analysis/geoprocessing/modelbuilder/what-is-modelbuilder-.htm
[5]
Federal Emergency Management Agency (FEMA) (2022). Hazard Mitigation Planning. https://www.fema.gov/emergency-managers/risk-management/hazard-mitigation-planning#:~:text=Hazard%20mitigation%20planning%20reduces%20loss,are%20common%20in%20their%20area
[6]
Hall, J., & Hossain, A. K. M. (2020). Mapping Urbanization and Evaluating Its Possible Impacts on Stream Water Quality in Chattanooga, Tennessee, Using GIS and Remote Sensing. Sustainability, 12, Article No. 1980. https://doi.org/10.3390/su12051980
[7]
Hidayat, D. P., & Andajani, S. (2018). Development Land Erosion Model Using Model Builder GIS (Case Study: Citepus Watershed). MATEC Web of Conferences, 147, Article ID: 03003. https://doi.org/10.1051/matecconf/201814703003
[8]
Jamali, B., Bach, P. M., Cunningham, L., & Deletic, A. (2019). A Cellular Automata Fast Flood Evaluation (CA-ffé) Model. Water Resources Research, 55, 4936-4953. https://doi.org/10.1029/2018WR023679
[9]
Kourgialas, N. N., & Karatzas, G. P. (2011). Flood Management and a GIS Modelling Method to Assess Flood-Hazard Areas—A Case Study. Hydrological Sciences Journal, 56, 212-225. https://doi.org/10.1080/02626667.2011.555836
[10]
Le, H. H., Schaeben, H., Jasper, H., & Görz, I. (2014). Database Versioning and Its Implementation in Geoscience Information Systems. Computers & Geosciences, 70, 44-54. https://doi.org/10.1016/j.cageo.2014.05.011
[11]
Madurika, H. K. G. M., & Hemakumara, G. P. T. S. (2017). GIS Based Analysis for Suitability Location Finding in the Residential Development Areas of Greater Matara Region. International Journal of Scientific and Technology Research, 6, 96-105.
[12]
Marques, Y. P. (2021). Assessment of Pluvial Flooding in Syracuse, Ny, Using High-Resolution Topographic Data. MSc. Thesis, Syracuse University.
[13]
Michielsen, A., Kalantari, Z., Lyon, S. W., & Liljegren, E. (2016). Predicting and Communicating Flood Risk of Transport Infrastructure Based on Watershed Characteristics. Journal of Environmental Management, 182, 505-518. https://doi.org/10.1016/j.jenvman.2016.07.051
[14]
Miller, B. A., Whitlock, A., & Hughes, R. C. (1996). Flood Management—The TVA Experience. Water International, 21, 119-130. https://doi.org/10.1080/02508069608686504
[15]
Nation Resourced Defense Council (NRDC) (2019). Flooding and Climate Change: Everything You Need to Know: Flood Consequences. https://www.nrdc.org/stories/flooding-and-climate-change-everything-you-need-know#consequences
[16]
National Oceanic and Atmosperic Agency (NOAA)—National Centers for Environmental Information (NCEI) (2018). NOAA National Centers for Environmental Information (NCEI) Billion-Dollar Weather and Climate Disasters: Table of Events [WWW Document]. https://www.ncdc.noaa.gov/billions/events/US/2019
[17]
PEW (2022). After Devastating Storms, Tennessee Coalition Calls for State Policy to Address Pervasive Flooding. https://www.pewtrusts.org/en/research-and-analysis/articles/2021/10/06/after-devastating-storms-tennessee-coalition-calls-for-state-policy-to-address-pervasive-flooding#:~:text=On%20average%2C%20flooding%20costs%20Tennessee,on%20Intergovernmental%20Relations%20(TACIR)
[18]
Pregnolato, M., Ford, A., Robson, C., Glenis, V., Barr, S., & Dawson, R. (2016). Assessing Urban Strategies for Reducing the Impacts of Extreme Weather on Infrastructure Networks. Royal Society Open Science, 3, Article ID: 160023. https://doi.org/10.1098/rsos.160023
[19]
Risk Factor (2022). Flood Risk Review: Does Tennessee Have Risk? https://riskfactor.com/state/tennessee/47_fsid/flood
[20]
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017). Flood Inundation Modelling: A Review of Methods, Recent Advances and Uncertainty Analysis. Environ. Environmental Modelling & Software, 90, 201-216. https://doi.org/10.1016/j.envsoft.2017.01.006
[21]
Thrysøe, C., Balstrøm, T., Borup, M., Jamali, B., & Arnbjerg-Nielsen, K. (2021). FloodStroem—A Fast Dynamic GIS-BASED URBAN FLOOD and Damage Model. Journal of Hydrology, 600, Article ID: 126521. https://doi.org/10.1016/j.jhydrol.2021.126521
[22]
Uddin, K., Gurung, D. R., Giriraj, A., & Shrestha, B. (2013). Application of Remote Sensing and GIS for Flood Hazard Management: A Case Study from Sindh Province, Pakistan. American Journal of Geographic Information System, 2, 1-5. https://doi.org/10.5923/j.ajgis.20130201.01
[23]
USGCRP (2017). Climate Science Special Report: Fourth National Climate Assessment, Volume I. In D. J. Wuebbles, D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart, & T. K. Maycock (Eds.), U.S. Global Change Research Program, Washington, DC, USA. https://science2017.globalchange.gov/
[24]
Winter, M. G., Shearer, B., Palmer, D., Peeling, D., Harmer, C., & Sharpe, J. (2016). The Economic Impact of Landslides and Floods on the Road Network. Procedia Engineering, 143, 1425-1434. https://doi.org/10.1016/j.proeng.2016.06.168
[25]
Zhang, S., & Pan, B. (2014). An Urban Storm-Inundation Simulation Method Based on GIS. Journal of Hydrology, 517, 260-268. https://doi.org/10.1016/j.jhydrol.2014.05.044
