Analysis of Damage Caused by Hydrometeorological Disasters in Texas, 1960–2016
Abstract
:1. Introduction
2. Study Area
3. Data Sources
4. Methodology
5. Results
5.1. Annual Distribution of Damage
5.2. Monthly Distribution of Damage
5.3. Regional Normalized Trends and Spatial Distribution of Damage
5.4. Detailed Event Damage
5.4.1. Hurricane Carla (2014 U.S. dollars)
5.4.2. Hurricane Alicia (2014 U.S. dollars)
5.4.3. Hurricane Ike (2014 U.S. dollars)
5.4.4. Variability and Limitations in Damage Estimates
6. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Disaster Type | TX ($2016) | US ($2016) |
---|---|---|
Hurricane/Trop Strm | 18,325,926,908 | 258,877,397,419 |
Hail | 12,301,331,729 | 37,295,600,013 |
Flooding | 7,035,494,246 | 152,447,938,320 |
Severe /TStrm | 6,298,129,432 | 35,434,257,137 |
Tornado | 4,103,255,471 | 58,871,799,205 |
Wind | 2,095,538,316 | 33,335,423,825 |
Drought | 1,454,769,396 | 5,121,265,940 |
Coastal | 940,709,789 | 2,955,956,179 |
Winter Weather | 795,182,868 | 26,391,427,257 |
Wildfire | 692,696,316 | 22,497,632,949 |
Lightning | 159,383,681 | 3,101,409,332 |
Fog | 6,885,490 | 58,142,521 |
Heat | 1,794,114 | 504,346,195 |
Landslide | 179,521 | 18,864,695,667 |
Avalanche | 1,064 | 30,299,599 |
Grand Total | 54,211,278,340 | 655,787,591,561 |
16-year Average | 16-year Annual Trend | |||||
---|---|---|---|---|---|---|
MSA—Actual/GDP | Adj PD/Capita | Act PD/GDP | Spearman | p | Kendall | p |
Dallas-Fort Worth-Arlington | $48.12 | 0.706 | 0.8176 | 0.0001 | 0.6500 | 0.0004 |
Lubbock | $393.40 | 9.672 | 0.4853 | 0.0567 | 0.3667 | 0.0476 |
Texarkana | $100.05 | 1.732 | 0.2796 | 0.2942 | 0.1757 | 0.3439 |
McAllen-Edinburg-Mission | $27.87 | 1.262 | 0.2264 | 0.4364 | 0.1868 | 0.3520 |
Tyler | $1.90 | 0.030 | 0.1319 | 0.6676 | 0.1026 | 0.6255 |
El Paso | $57.66 | 1.741 | 0.0682 | 0.8020 | 0.0342 | 0.8558 |
Austin-Round Rock | $43.82 | 0.727 | 0.0643 | 0.8199 | 0.0476 | 0.8046 |
Corpus Christi | $25.53 | 0.583 | 0.0440 | 0.8866 | 0.0769 | 0.7143 |
Killeen-Temple | $4.51 | 0.106 | 0.0382 | 0.8882 | 0.0000 | 1.0000 |
Sherman-Denison | $39.40 | 1.212 | 0.0382 | 0.8882 | −0.0167 | 0.9283 |
Longview | $10.99 | 0.229 | 0.0059 | 0.9827 | 0.0084 | 0.9640 |
Laredo | $16.25 | 0.527 | −0.0604 | 0.8445 | 0.0000 | 1.0000 |
San Angelo | $36.72 | 0.882 | −0.1273 | 0.7092 | −0.0909 | 0.6971 |
Waco | $5.13 | 0.122 | −0.1471 | 0.5868 | −0.1167 | 0.5285 |
Brownsville-Harlingen | $16.00 | 0.712 | −0.1729 | 0.5377 | −0.1409 | 0.4788 |
San Antonio-New Braunfels | $44.83 | 0.956 | −0.2341 | 0.4010 | −0.2297 | 0.2344 |
Amarillo | $221.04 | 4.698 | −0.2357 | 0.3977 | −0.1619 | 0.4002 |
Houston-The Woodlands-Sugar Land | $69.44 | 1.034 | −0.2634 | 0.3242 | −0.1925 | 0.2999 |
Odessa | $5.41 | 0.117 | −0.2813 | 0.2912 | −0.2017 | 0.2789 |
Victoria | $2.32 | 0.055 | −0.3091 | 0.3848 | −0.3333 | 0.1797 |
Beaumont-Port Arthur | $457.18 | 8.690 | −0.3176 | 0.2306 | −0.2667 | 0.1497 |
College Station-Bryan, | $6.04 | 0.168 | −0.3370 | 0.2018 | −0.2427 | 0.1912 |
Abilene | $194.88 | 4.499 | −0.3626 | 0.2026 | −0.2527 | 0.2080 |
Wichita Falls | $14.09 | 0.261 | −0.4059 | 0.1188 | −0.2833 | 0.1258 |
Midland | $91.18 | 0.693 | −0.4794 | 0.0706 | −0.3942 | 0.0420 |
Disaster Event Name | Hurricane Carla | Hurricane Alicia | Hurricane Ike |
---|---|---|---|
Month/Days | September 8–14 | August 15–21 | September 11–12 |
Saffir-Simpson Classification | Cat-5 | Cat-3 | Cat-2 |
Year | 1961 | 1983 | 2008 |
Landfall | Port O’Connor, Tx | Galveston, Tx | |
Primary Cause of Damage | Wind/Storm Surge | Wind/Tornadoes | Flooding |
Texas Almanac (total damage) | $2.4 billion | $7.2 billion | $15.6 billion |
NWS/NOAA (total damage) | NA | $7.3 billion | $33.4 billion |
SHELDUS (property damage) | $204.4 million | $1.23 billion | $3.8 billion |
SHELDUS (crop damage) | $204.4 million | $1.23 billion | NA |
HAZUS model counties | Aransas, Calhoun, Jackson, Matagorda, Refugio, Victoria | Brazoria, Chambers, Galveston, Harris | |
Counties population (2010) | 189,492 | 4,732,030 | |
Hazus model (2010 building exposure) | $20.9 billion (80% wood residential) | $529 billion (80% wood residential) | |
Hazus model (property damage) | $689 million | $10.3 billion | $6.63 billion |
Hazus model (business interruption) | $119 million | $1.23 billion | $697 million |
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Paul, S.H.; Sharif, H.O. Analysis of Damage Caused by Hydrometeorological Disasters in Texas, 1960–2016. Geosciences 2018, 8, 384. https://doi.org/10.3390/geosciences8100384
Paul SH, Sharif HO. Analysis of Damage Caused by Hydrometeorological Disasters in Texas, 1960–2016. Geosciences. 2018; 8(10):384. https://doi.org/10.3390/geosciences8100384
Chicago/Turabian StylePaul, Srikanto H., and Hatim O. Sharif. 2018. "Analysis of Damage Caused by Hydrometeorological Disasters in Texas, 1960–2016" Geosciences 8, no. 10: 384. https://doi.org/10.3390/geosciences8100384
APA StylePaul, S. H., & Sharif, H. O. (2018). Analysis of Damage Caused by Hydrometeorological Disasters in Texas, 1960–2016. Geosciences, 8(10), 384. https://doi.org/10.3390/geosciences8100384