SlideShare a Scribd company logo
1 of 51
Download to read offline
Natural Disasters are too often treated
          as acute problems
 The scientific consensus is that natural disasters are
  not simply “natural” events…
   They are an outcome of the interaction between
     biophysical systems, human systems, and their built
     environment

 Human action (or inaction) is in large measure driving
  these events:
   We continue to develop and expand into high hazard
     areas
      Increasing hazard exposure
      All too often destroy or compromise natural resources and
       the potential services they are providing. A prime example
       are wetlands.
Ecosystem Restoration/Preservation &
         Coastal Hazards
 Ecosystem restoration/preservation and coastal hazards are
  inextricably related to each other
 Destruction and compromising of ecosystems, such as
  wetlands, can increase the severity of hazard impacts for a
  variety of reasons:
   First, there is a loss of ecosystem services
     Increases flooding losses as well as causalities
   Second, there is increasing exposure to coastal hazards such
    as surge and flooding

 Preservation and restoration of ecosystems can and should
  also be an important element of hazard mitigation policies
  and programs
   Unfortunately, as we will see, these are neglected elements
     within hazard mitigation planning, particularly in Texas.
Texas Coastal
                  Counties &
                    Coastal
                   Hazards
 The Texas Coast:
     18 coastal counties
     228 coastal municipalities
     39,546 sq. kilometers
     47.6% of this area is located in our
      Coastal Management Zone (CMZ)
Texas Coastal
  Wind Risk                                                                                                                         Counties &
  1. 75 mph
  2. 92 mph
                                                                                                                                      Coastal
  3. 109 mph
  4. 127 mph                                                                                                                         Hazards*
                                                                               Wind hazard and the Texas Coast:
                                                                                       Substantial proportions of Galveston
                                                                                        (50.3%), Jefferson (41.7%) and
                                                                                        Chambers (31.3%) counties are in the
                                                                                        highest wind risk zone (4)
                                                                                       13 of 18 counties have 80% or more of
                                                                                        their area falling into risk zones 3 or 4
                                                                                       Essentially all coast county areas fall
                                                                                        into Wind zones 2, 3, or 4.
                                                                                       The vast majority of the entire CMZ falls
                                                                                        into the falls into Wind risk zones 3 or 4.



* A more complete discussion of Texas coastal county hazard exposure can be found in the following report -- Status and Trends of Coastal Hazard Exposure and Mitigation Policies for the
Texas Coast: The Mitigation Policy Mosaic of Coastal Texas by Walter Gillis Peacock, Jung Eun Kang, Yi-Sz Lin, Himanshu Grover, Rahmawati Husein, and Gabriel R. Burns. 2009. Hazard
Reduction and Recovery Center.
Hurricane Surge Risk zones:                             Texas Coastal
5 = Cat. 1 or above
4 = Cat. 2 or above                                      Counties &
3 = Cat. 3 or above
2 = Cat. 4 or above
                                                           Coastal
1 = Cat. 5                                                Hazards*
                               Surge Risk Zones:
                                    Between 20-24% of Calhoun, Chambers,
                                     Galveston and Jefferson counties fall into the
                                     highest surge risk zone (5) (meaning they are
                                     vulnerable to all hurricanes).
                                    Aransas, Calhoun, Chambers, Galveston,
                                     Jefferson and Orange counties all have 30%
                                     or more of their areas located in zones 4 & 5
                                    Aransas, Calhoun, Chambers, Galveston,
                                     Jefferson and Orange counties all have in
                                     excess of 79% of their areas located in Cat 1
                                     to 5 risk zones
                                    On average, 47.1% of coastal county areas
                                     are located in hurricane surge risk zones.

                                                                   * see: Status and Trends of Coastal
                                                                   Hazard Exposure and Mitigation
                                                                   Policies for the Texas Coast: The
                                                                   Mitigation Policy Mosaic of Coastal
                                                                   Texas by W.G.Peacock, J.E.Kang,
                                                                   Y.S. Lin, H. Grover, R.Husein, and
                                                                   G.R. Burns. 2009. Hazard Reduction
                                                                   and Recovery Center.
Major Flooding Risk Zones:                                                                                      Texas Coastal
5 = subject to ocean surge
4 = 100 year flood plain                                                                                         Counties &
3 = 500 year flood plain
                                                                                                                   Coastal
                                                                                                                  Hazards*
                                                            Flooding Risk Zones:
                                                                         12 of 18 counties have over 20% of their areas in
                                                                          flood risk areas 4 (100 year flood plain) or 5
                                                                          (subject to ocean flooding with wave action)
                                                                           These are: Jefferson (58.6%), Chambers
                                                                                (50%)Brazoria (48.3%), Orange (46.6%), Galveston
                                                                                (46.1%), Aransas (41.2%), Calhoun (33.9%),
                                                                                Cameron (33.2%), Matagorda (27.2%), Harris
                                                                                (21.6%), Victoria (21.5%), and Kenedy (20.9%).

                                                            All counties have over, sometimes substantially
                                                                  over, 20% in flood risk zones 3 (500 year), 4 (100
                                                                  year) or 5 (surge). The only exception is San
                                                                  Patricio county at 18.4%.

                                                            All coastal county areas are at risk of flooding.
                                                                  Indeed, these flood zones are notoriously
                                                                  conservative in their assessments.


             * see: Status and Trends of Coastal Hazard Exposure and Mitigation Policies for the Texas Coast: The Mitigation Policy Mosaic of Coastal Texas by
             W.G.Peacock, J.E.Kang, Y.S. Lin, H. Grover, R.Husein, and G.R. Burns. 2009. Hazard Reduction and Recovery Center.
Coastal Hazard Impacts
               1960-2007*
  Dates                       Injuries Deaths                                    Damage ($)
1960 - 1969                       274       43                                      485,138,177
1970 - 1979                       201       55                                    1,320,582,653
1980 - 1989                      1072       48                                    1,381,191,030
1990 - 1999                       102       15                                      393,932,143
2000 - 2007                         69      19                                    2,648,787,945
  Totals                         1718     180                                     6,229,631,948
 * Data are from the Hazards & Vulnerability Research Institute (2010). The Spatial Hazard Events and Losses
 Database for the United States, Version 8.0 [Online Database]. Columbia, SC: University of South Carolina.
 Available from http://www.sheldus.org . Damage in constant 2007 dollars.
 NOTE: does not include Hurricane Ike, with its estimated 19.3 billion in losses and estimates that 20 people died
 directly due to storm, 64 for indirect reasons, and ~34 missing.
Coastal Hazard Impacts
                1960-2008
                  ** Including Ike’s estimates, interpret with caution**

  Dates                       Injuries Deaths                                    Damage ($)
1960 - 1969                       274       43                                      485,138,177
1970 - 1979                       201       55                                    1,320,582,653
1980 - 1989                      1072       48                                    1,381,191,030
1990 - 1999                       102       15                                      393,932,143
2000 - 2007                         69     103
                                            19                                   21,948,787,945
                                                                                  2,648,787,945
  Totals                         1718     180
                                           264                                    6,229,631,948
                                                                                 25,529,631,948
 Hazards & Vulnerability Research Institute (2010). The Spatial Hazard Events and Losses Database for the
 United States, Version 8.0 [Online Database]. Columbia, SC: University of South Carolina. Available from
 http://www.sheldus.org . Damage in constant 2007 dollars.
 NOTE: does not include Hurricane Ike, with its estimated 19.3 billion in losses and estimates that 20 people died
 directly due to storm, 64 for indirect reasons, and ~34 missing.
Texas Coastal Counties &
        Coastal Hazards
 Clearly we see substantial hazard exposure when
  considering wind, surge, and flooding to Texas coastal
  counties.

 And, we also see substantial losses, particularly when
  we factor in Hurricane Ike.

 Coastal counties have also experience considerable
  population growth and increasing demographic
  diversity.
Coastal County Population
7000000
                   Trends*
                                                             Significant overall population
                                                               growth:
6000000
                                                                3.8 million to 6.1 million
                                                                57.8% increase in population
5000000
                                                             Increased diversity
                                                                  White: 2.87 m. to 3.86 m.
4000000
                                                    total           34.3% increase
                                                    white         Black: 630K to 979K
3000000
                                                    black           55.3% increase
                                                    hispanic
                                                                  Hispanic: 824K to 2.6 m.
                                                                    214.7% increase
2000000
                                                             NET RESULT: Increasing
                                                               concentrations of an increasingly
1000000                                                        diverse population in coastal
                                                               counties which are themselves
                                                               highly exposed and vulnerable to
     0                                                         coastal hazards
          1980      1990       2000       2010
Population Size and Composition: Texas Coastal Counties                           *Data from the U. S. Census
Associated ecosystem
          disruption/compromise




                                         These maps show extensive
                                            wetland permitting (i.e.,
                                        development) in areas with the
                                         highest surge risk resulting in
                                         loss of wetland services and
                                        much higher exposure and risk
                                        of new infrastructure, housing,
                                       and people to hurricane impacts.

Wetland Permits 1990-2004: Galveston                    Wetland Permits 1990-2004: Corpus
                Bay                                     Christi, Aransas, and Copano Bays
Development in higher hazard areas
     can have consequences




                                                                         This is a close up map of
                                                                        Galveston Island. Note the
                                                                        extensive concentration of
                                                                          wetland permits often
                                                                        associated with residential
                                                                       development around Offatts
                                                                        Bayou and Greens Bayou.




This map is from the coastal planning atlas, a web based planning tool developed and hosted by the Center for Texas Beaches
and Shores at Texas A&M Galveston and the Hazard Reduction and Recovery Center at Texas A&M College Station. See
coastalatlas.tamu.edu or coastalatlas.tamug.edu
Development in higher hazard areas
     can have consequences
                              These data* are from a
                           damage survey of over 1500
                           single family homes following
                            Hurricane Ike. The red dots
                           indicate extensively damage
                                  homes. Note the
                              concentrations of higher
                            damaged homes associated
                              with the wetland permits
                            around these same bayous
                           when compared to the lighter
                           (yellow) damage in the urban
                            core of the city of Galveston




   *For a more complete discussion of these
   data and analysis see: Van Zandt et al
   forthcoming; Peacock et al. forthcoming;
   and Highfield et al. 2011.
Disconnect between hazard mitigation and
    ecosystem protection/restoration*
                                                                                 12 Hazard Mitigation Plans
                                                                                     3 municipalities, 4 county, & 5
                                                                                      regional
                                                                                     18 counties and 112
                                                                                      municipalities

                                                                                 Few ecosystem issues
                                                                                    mentioned
                                                                                     Wetland restoration (1 plan)
                                                                                 Of the 836 mitigation actions
                                                                                    proposed:
                                                                                     Structural: 34.4%
                                                                                     Emergency management:
                                                                                      24.1%
                                                                                     Regulatory/planning: 25.8%
                                                                                     Education/Awareness: 14.4%
                                                                                     Natural resource
* For a more complete discussion of these findings and data collection see: Kang,     protection/restoration: 1.4%
Peacock and Husein 2010 and Peacock et al. 2009.
Disconnect between hazard mitigation
       and ecosystem protection/restoration
    To what does your jurisdiction use in the                                         New survey* of coastal
    following for natural resource protection?                                         jurisdictions
                                                                                        Counties and Municipalities
                                                             Very
                     Not	At	      Small	       Some	        Great	
                                                                                        Preliminary results from 120
         	                                                                                Jurisdictions (counties and
                      All	        Extent	      Extent	      Extent	        Total	
                                                                                          municipalities
     Wetland	              67	          11	          18	          24	         120	
    protection	      55.8%	          9.2%	       15.0%	       20.0%	       100.0%	
     Coastal	
                                                                                      Findings:
                           93	           5	          10	          12	         120	
    Vegetation	                                                                         The bad: Most jurisdictions do
    protection	      77.5%	          4.2%	        8.3%	       10.0%	       100.0%	       not use any of these
      Habitat	             81	          12	          18	            9	        120	       ecosystem
    protection/	                                                                         preservation/restoration
    restoration	     67.5%	        10.0%	        15.0%	        7.5%	       100.0%	       approaches to facilitate natural
    Protected	             76	          17	          14	          13	         120	       resource protection
      areas	         63.3%	        14.2%	        11.7%	       10.8%	       100.0%	      The good:
	                                                                                         35% of employ wetland
                                                                                            protection to some or a very
                                                                                            great extent.
                                                                                           22.5% employ protected areas
                                                                                            to some or a very great extent.
* These are preliminary data findings. A full report on this survey will
be available on the HRRC website by November 2011
Recommendation 1
 We must do a better job of linking ecosystem
  restoration and preservation with hazard mitigation
  policies and planning activities:
   This might be accomplished through:
     Education programs related to hazard mitigation training
     Incentives to enhance ecosystem restoration/preservation as
      a part of effective hazard mitigation planning
     Guidelines: modify FEMA and State hazard mitigation
      guidelines
     Mandates for ecosystem preservation/restoration to obtain
      hazard mitigation funding from the federal and state
      government.
Social vulnerability, coastal hazards,
    and ecosystem restoration
                     Much like physical vulnerability
                       except focused on social units
                     Focus is on social factors and
                       processes that generate vulnerability
                       in terms of a person’s or group’s
                       capacity to anticipate, cope with,
                       resist and recover from the impact of
                       a natural hazard
                        These factors include:
                            Race/ethnicity, gender, education,
                              poverty, age, and housing tenure

                     Social vulnerability will rarely be
                       uniformly distributed among the
                       individuals, groups, or various
                       populations comprising social
                       systems
                        As a consequence we can develop
                           mapping tools to identify areas with
                           higher concentrations of socially
                           vulnerable populations
Social vulnerability mapping
              strategy




This table displays 1st order (base indicators) 2nd order, and 3rd order social
vulnerability indicators that can be mapped using data available on the Texas
Coastal Planning Atlas: coastalatlas.tamu.edu or coastalatlas.tamug.edu
Area with high levels of transportation
 dependence and hazard exposure



                                     A map of the 2nd order SV
                            measure of transportation needs,
                               indicating census block groups
                                    with high concentrations of
                                    households without private
                            vehicles and dependent on public
                             transportation. These have been
                                 overlaid with hurricane surge
                                                        zones.
                             Areas that are darker and cross-
                                 hatched have high social and
                                        physical vulnerabilities,
                              containing households at risk to
                               hurricane surge yet with limited
                                       evacuation capabilities.
Area with high levels of transportation
      Dependence and hazard exposure
Not surprisingly, hurricane Ike evacuation
data* clearly showed that households in
these same areas were much later in leaving
and less likely to evacuate. This map shows
that households in these areas were much
later to evacuate, risking getting trapped by
Ike’s surge.




                                            *For a more complete discussion of these
                                            data and analysis see: Van Zandt et al
                                            forthcoming, Peacock et al. forthcoming;
                                            Highfield et al. 2011, and Peacock et al
                                            2011.
Area with high levels of SV
          and hazard exposure
                                            Post Hurricane Ike
                                             research* has shown that
                                             areas with higher SV:
                                              Suffered greater levels of
                                                    relative damage
This map is of the 3rd order social                Were less likely to have
     vulnerability (SV) measure                     homeowners and renters
      indicating areas with high                    insurance
      concentrations of socially
vulnerable populations with lower
                                                   Were more likely to have
ability to prepare and recover from                 applied for FEMA
 a disaster like Hurricane Ike. The                 assistance, but less likely
more red the color, the higher the                  to apply for SBA loans
                  SV.                              Have been slower to be
                                                    able to undertake
                                                    significant repairs to their
                                                    homes
                                                   Have been slower to
                                                    receive permits for repairs
                                                   And, on the whole have
                                                    been slower to recover.


                                      *For a more complete discussion of these data, analysis and
                                      findings see:
                                      Van Zandt et al forthcoming, Peacock et al. forthcoming;
                                      Highfield et al. 2011, and Peacock et al 2011.
As we consider restoration efforts, we
      should also consider SV

                 These maps show again show
                    wetland permitting (i.e.,
                development) in conjunction with
                   social vulnerability. When
                 considering wetland restoration
                  policies we need to consider
                 areas with high levels of social
                     vulnerability as well as
                  physical/hazard vulnerability.
As we consider restoration efforts, we
      should also consider SV
                   Recommendation 2: When
                    considering restoration efforts
                     Consider hazard vulnerability
                      reduction
                       Targeting ecosystem restoration in
                         high hazard areas
                     However, also consider social
                      vulnerability issues as well
                       Try to obtain a double payoff
                          Reducing physical vulnerability
                            in areas with high social
                            vulnerability.
                       Be concerned about environmental
                         justice issues
                          If ecosystem restoration always
                            means displacement of socially
                            vulnerable/less powerful citizens
                            – this is a problem
                          If ecosystem restoration only
                            means the powerful and rich
                            benefit, this too is a problem.
Coastal hazards, social vulnerability, and
    ecosystem restoration/preservation
 Texas coastal counties are          There is a marked disconnect
   highly vulnerable to a variety      between hazard mitigation
   of coastal hazards (wind,           and ecosystem
   surge, and flooding)                restoration/preservation
 The population of these
   counties had grown                 Recommendations:
   substantially from 1980 to           Link hazard mitigation to
   2010 and has become highly            ecosystem
   diverse                               restoration/preservation
 That population growth has              particularly with respect to
                                            wetlands and habitat
   been coupled with substantial
   development of fragile wetland       When targeting ecosystem
   ecosystems                            restoration/preservation
    Resulting in                         Consider hazard reduction
                                            issues
       Loss of ecosystem services        AND -- Consider social
       Increased hazard exposure           vulnerability issues
References
   Kang, Jung Eun, Walter Gillis Peacock, and Rahmawati Husein. 2010. An Assessment of Coastal Zone Hazard Mitigation Plans in
    Texas. Journal of Disaster Research, 5(5):526-34.

   Walter Gillis Peacock, Shannon Van Zandt, Dustin Henry, Himanshu Grover and Wesley Highfield. Forthcoming. Social Vulnerability
    and Hurricane Ike: Using Social Vulnerability Mapping to Enhance Coastal Community Resiliency in Texas. Chapter 7 in Sever Storm
    Prediction, Impact, and Recovery on the Texas Gulf Coast. Edited by Phillip B. Bedient. College Station, Texas: Texas A&M Press.

   Peacock, Walter Gillis, Jung Eun Kang, Yi-Sz Lin, Himanshu Grover, Rahmawati Husein, and Gabriel R. Burns. 2009. Status and
    Trends of Coastal Hazard Exposure and Mitigation Policies for the Texas Coast: The Mitigation Policy Mosaic of Coastal Texas. A
    Report Prepared for the Texas General Land Office and The National Oceanic and Atmospheric Administration Under GLO Contract
    No. 07-005-21. Hazard Reduction and Recovery Center, College of Architecture, Texas A&M University.

   Peacock, Walter Gillis, Jung Eun Kang, Rahmawati Husein, Gabriel R. Burns, Carla Prater, Samuel Brody and Tommy Kennedy.
    2009. An Assessment of Coastal Zone Hazard Mitigation Plans in Texas. A Report Prepared for the Texas General Land Office and
    The National Oceanic and Atmospheric Administration Under GLO Contract No. 07-005-21. Hazard Reduction and Recovery Center,
    College of Architecture, Texas A&M University.

   Van Zandt, Shannon, Walter Gillis Peacock, Dustin Henry, Himanshu Grover, Wesley Highfield, and Sam Brody. Forthcoming.
    Mapping Social Vulnerability to Enhance Housing and Neighborhood Resilience. Housing Policy Debate.

   Zahran, Sammy, Samuel D. Brody, Walter Gillis Peacock, Himanshu Grover, Arnold Vedlitz. 2008. Social Vulnerability and Flood
    Casualties in Texas, 1997-2001. Disasters 32(4): 537-560.


Poverty Status and Flood
Texas coastal atlas

More Related Content

More from Texas Natural Resources Information System

From creekology to rocket science the evolution of remote sensing gis in oilg...
From creekology to rocket science the evolution of remote sensing gis in oilg...From creekology to rocket science the evolution of remote sensing gis in oilg...
From creekology to rocket science the evolution of remote sensing gis in oilg...Texas Natural Resources Information System
 

More from Texas Natural Resources Information System (20)

Nmc ussls charter 2012
Nmc ussls charter 2012Nmc ussls charter 2012
Nmc ussls charter 2012
 
Nationwide dgps (ndgps) lt mendoza
Nationwide dgps (ndgps)   lt mendozaNationwide dgps (ndgps)   lt mendoza
Nationwide dgps (ndgps) lt mendoza
 
Lyle tamucc 2
Lyle tamucc 2Lyle tamucc 2
Lyle tamucc 2
 
Dirks cgsic brief 2012
Dirks cgsic brief 2012Dirks cgsic brief 2012
Dirks cgsic brief 2012
 
Connected vehicle highway network applications
Connected vehicle highway network applicationsConnected vehicle highway network applications
Connected vehicle highway network applications
 
Cgsic presentation humphreys
Cgsic presentation humphreysCgsic presentation humphreys
Cgsic presentation humphreys
 
Cgsic navcen
Cgsic navcenCgsic navcen
Cgsic navcen
 
Gnss international policy regional cgsic (austin - jun2012)
Gnss international policy   regional cgsic (austin - jun2012)Gnss international policy   regional cgsic (austin - jun2012)
Gnss international policy regional cgsic (austin - jun2012)
 
From creekology to rocket science the evolution of remote sensing gis in oilg...
From creekology to rocket science the evolution of remote sensing gis in oilg...From creekology to rocket science the evolution of remote sensing gis in oilg...
From creekology to rocket science the evolution of remote sensing gis in oilg...
 
Early warning forecast of an oil spill bp deepwater horizon in the gulf
Early warning forecast of an oil spill bp deepwater horizon in the gulfEarly warning forecast of an oil spill bp deepwater horizon in the gulf
Early warning forecast of an oil spill bp deepwater horizon in the gulf
 
We are the music makers and we are the dreamers of dreams
We are the music makers and we are the dreamers of dreamsWe are the music makers and we are the dreamers of dreams
We are the music makers and we are the dreamers of dreams
 
Volunteered geographic information (vgi) for the national map
Volunteered geographic information (vgi) for the national mapVolunteered geographic information (vgi) for the national map
Volunteered geographic information (vgi) for the national map
 
Uav image recognition technology and applications
Uav image recognition technology and applicationsUav image recognition technology and applications
Uav image recognition technology and applications
 
Texas high water marks crowd sourcing history, culture, and geography
Texas high water marks   crowd sourcing history, culture, and geographyTexas high water marks   crowd sourcing history, culture, and geography
Texas high water marks crowd sourcing history, culture, and geography
 
Nws floodplain inundation project
Nws floodplain inundation projectNws floodplain inundation project
Nws floodplain inundation project
 
New york city case study lidar and the power of solar
New york city case study   lidar and the power of solarNew york city case study   lidar and the power of solar
New york city case study lidar and the power of solar
 
National atlas of the us 1 to 1,000,000 scale hydrography dataset
National atlas of the us   1 to 1,000,000 scale hydrography datasetNational atlas of the us   1 to 1,000,000 scale hydrography dataset
National atlas of the us 1 to 1,000,000 scale hydrography dataset
 
Monitoring playa water resources using gis and remote sensing
Monitoring playa water resources using gis and remote sensingMonitoring playa water resources using gis and remote sensing
Monitoring playa water resources using gis and remote sensing
 
Mobile app for i pad water resources
Mobile app for i pad water resourcesMobile app for i pad water resources
Mobile app for i pad water resources
 
Leveraging sql server to improve vector display through point clustering
Leveraging sql server to improve vector display through point clusteringLeveraging sql server to improve vector display through point clustering
Leveraging sql server to improve vector display through point clustering
 

Recently uploaded

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 

Recently uploaded (20)

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 

Texas coastal atlas

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. Natural Disasters are too often treated as acute problems  The scientific consensus is that natural disasters are not simply “natural” events…  They are an outcome of the interaction between biophysical systems, human systems, and their built environment  Human action (or inaction) is in large measure driving these events:  We continue to develop and expand into high hazard areas  Increasing hazard exposure  All too often destroy or compromise natural resources and the potential services they are providing. A prime example are wetlands.
  • 6. Ecosystem Restoration/Preservation & Coastal Hazards  Ecosystem restoration/preservation and coastal hazards are inextricably related to each other  Destruction and compromising of ecosystems, such as wetlands, can increase the severity of hazard impacts for a variety of reasons:  First, there is a loss of ecosystem services  Increases flooding losses as well as causalities  Second, there is increasing exposure to coastal hazards such as surge and flooding  Preservation and restoration of ecosystems can and should also be an important element of hazard mitigation policies and programs  Unfortunately, as we will see, these are neglected elements within hazard mitigation planning, particularly in Texas.
  • 7. Texas Coastal Counties & Coastal Hazards  The Texas Coast:  18 coastal counties  228 coastal municipalities  39,546 sq. kilometers  47.6% of this area is located in our Coastal Management Zone (CMZ)
  • 8. Texas Coastal Wind Risk Counties & 1. 75 mph 2. 92 mph Coastal 3. 109 mph 4. 127 mph Hazards*  Wind hazard and the Texas Coast:  Substantial proportions of Galveston (50.3%), Jefferson (41.7%) and Chambers (31.3%) counties are in the highest wind risk zone (4)  13 of 18 counties have 80% or more of their area falling into risk zones 3 or 4  Essentially all coast county areas fall into Wind zones 2, 3, or 4.  The vast majority of the entire CMZ falls into the falls into Wind risk zones 3 or 4. * A more complete discussion of Texas coastal county hazard exposure can be found in the following report -- Status and Trends of Coastal Hazard Exposure and Mitigation Policies for the Texas Coast: The Mitigation Policy Mosaic of Coastal Texas by Walter Gillis Peacock, Jung Eun Kang, Yi-Sz Lin, Himanshu Grover, Rahmawati Husein, and Gabriel R. Burns. 2009. Hazard Reduction and Recovery Center.
  • 9. Hurricane Surge Risk zones: Texas Coastal 5 = Cat. 1 or above 4 = Cat. 2 or above Counties & 3 = Cat. 3 or above 2 = Cat. 4 or above Coastal 1 = Cat. 5 Hazards*  Surge Risk Zones:  Between 20-24% of Calhoun, Chambers, Galveston and Jefferson counties fall into the highest surge risk zone (5) (meaning they are vulnerable to all hurricanes).  Aransas, Calhoun, Chambers, Galveston, Jefferson and Orange counties all have 30% or more of their areas located in zones 4 & 5  Aransas, Calhoun, Chambers, Galveston, Jefferson and Orange counties all have in excess of 79% of their areas located in Cat 1 to 5 risk zones  On average, 47.1% of coastal county areas are located in hurricane surge risk zones. * see: Status and Trends of Coastal Hazard Exposure and Mitigation Policies for the Texas Coast: The Mitigation Policy Mosaic of Coastal Texas by W.G.Peacock, J.E.Kang, Y.S. Lin, H. Grover, R.Husein, and G.R. Burns. 2009. Hazard Reduction and Recovery Center.
  • 10. Major Flooding Risk Zones: Texas Coastal 5 = subject to ocean surge 4 = 100 year flood plain Counties & 3 = 500 year flood plain Coastal Hazards*  Flooding Risk Zones:  12 of 18 counties have over 20% of their areas in flood risk areas 4 (100 year flood plain) or 5 (subject to ocean flooding with wave action)  These are: Jefferson (58.6%), Chambers (50%)Brazoria (48.3%), Orange (46.6%), Galveston (46.1%), Aransas (41.2%), Calhoun (33.9%), Cameron (33.2%), Matagorda (27.2%), Harris (21.6%), Victoria (21.5%), and Kenedy (20.9%).  All counties have over, sometimes substantially over, 20% in flood risk zones 3 (500 year), 4 (100 year) or 5 (surge). The only exception is San Patricio county at 18.4%.  All coastal county areas are at risk of flooding. Indeed, these flood zones are notoriously conservative in their assessments. * see: Status and Trends of Coastal Hazard Exposure and Mitigation Policies for the Texas Coast: The Mitigation Policy Mosaic of Coastal Texas by W.G.Peacock, J.E.Kang, Y.S. Lin, H. Grover, R.Husein, and G.R. Burns. 2009. Hazard Reduction and Recovery Center.
  • 11. Coastal Hazard Impacts 1960-2007* Dates Injuries Deaths Damage ($) 1960 - 1969 274 43 485,138,177 1970 - 1979 201 55 1,320,582,653 1980 - 1989 1072 48 1,381,191,030 1990 - 1999 102 15 393,932,143 2000 - 2007 69 19 2,648,787,945 Totals 1718 180 6,229,631,948 * Data are from the Hazards & Vulnerability Research Institute (2010). The Spatial Hazard Events and Losses Database for the United States, Version 8.0 [Online Database]. Columbia, SC: University of South Carolina. Available from http://www.sheldus.org . Damage in constant 2007 dollars. NOTE: does not include Hurricane Ike, with its estimated 19.3 billion in losses and estimates that 20 people died directly due to storm, 64 for indirect reasons, and ~34 missing.
  • 12. Coastal Hazard Impacts 1960-2008 ** Including Ike’s estimates, interpret with caution** Dates Injuries Deaths Damage ($) 1960 - 1969 274 43 485,138,177 1970 - 1979 201 55 1,320,582,653 1980 - 1989 1072 48 1,381,191,030 1990 - 1999 102 15 393,932,143 2000 - 2007 69 103 19 21,948,787,945 2,648,787,945 Totals 1718 180 264 6,229,631,948 25,529,631,948 Hazards & Vulnerability Research Institute (2010). The Spatial Hazard Events and Losses Database for the United States, Version 8.0 [Online Database]. Columbia, SC: University of South Carolina. Available from http://www.sheldus.org . Damage in constant 2007 dollars. NOTE: does not include Hurricane Ike, with its estimated 19.3 billion in losses and estimates that 20 people died directly due to storm, 64 for indirect reasons, and ~34 missing.
  • 13. Texas Coastal Counties & Coastal Hazards  Clearly we see substantial hazard exposure when considering wind, surge, and flooding to Texas coastal counties.  And, we also see substantial losses, particularly when we factor in Hurricane Ike.  Coastal counties have also experience considerable population growth and increasing demographic diversity.
  • 14. Coastal County Population 7000000 Trends*  Significant overall population growth: 6000000  3.8 million to 6.1 million  57.8% increase in population 5000000  Increased diversity  White: 2.87 m. to 3.86 m. 4000000 total  34.3% increase white  Black: 630K to 979K 3000000 black  55.3% increase hispanic  Hispanic: 824K to 2.6 m.  214.7% increase 2000000  NET RESULT: Increasing concentrations of an increasingly 1000000 diverse population in coastal counties which are themselves highly exposed and vulnerable to 0 coastal hazards 1980 1990 2000 2010 Population Size and Composition: Texas Coastal Counties *Data from the U. S. Census
  • 15. Associated ecosystem disruption/compromise These maps show extensive wetland permitting (i.e., development) in areas with the highest surge risk resulting in loss of wetland services and much higher exposure and risk of new infrastructure, housing, and people to hurricane impacts. Wetland Permits 1990-2004: Galveston Wetland Permits 1990-2004: Corpus Bay Christi, Aransas, and Copano Bays
  • 16. Development in higher hazard areas can have consequences This is a close up map of Galveston Island. Note the extensive concentration of wetland permits often associated with residential development around Offatts Bayou and Greens Bayou. This map is from the coastal planning atlas, a web based planning tool developed and hosted by the Center for Texas Beaches and Shores at Texas A&M Galveston and the Hazard Reduction and Recovery Center at Texas A&M College Station. See coastalatlas.tamu.edu or coastalatlas.tamug.edu
  • 17. Development in higher hazard areas can have consequences These data* are from a damage survey of over 1500 single family homes following Hurricane Ike. The red dots indicate extensively damage homes. Note the concentrations of higher damaged homes associated with the wetland permits around these same bayous when compared to the lighter (yellow) damage in the urban core of the city of Galveston *For a more complete discussion of these data and analysis see: Van Zandt et al forthcoming; Peacock et al. forthcoming; and Highfield et al. 2011.
  • 18. Disconnect between hazard mitigation and ecosystem protection/restoration*  12 Hazard Mitigation Plans  3 municipalities, 4 county, & 5 regional  18 counties and 112 municipalities  Few ecosystem issues mentioned  Wetland restoration (1 plan)  Of the 836 mitigation actions proposed:  Structural: 34.4%  Emergency management: 24.1%  Regulatory/planning: 25.8%  Education/Awareness: 14.4%  Natural resource * For a more complete discussion of these findings and data collection see: Kang, protection/restoration: 1.4% Peacock and Husein 2010 and Peacock et al. 2009.
  • 19. Disconnect between hazard mitigation and ecosystem protection/restoration To what does your jurisdiction use in the  New survey* of coastal following for natural resource protection? jurisdictions  Counties and Municipalities Very Not At Small Some Great  Preliminary results from 120 Jurisdictions (counties and All Extent Extent Extent Total municipalities Wetland 67 11 18 24 120 protection 55.8% 9.2% 15.0% 20.0% 100.0% Coastal  Findings: 93 5 10 12 120 Vegetation  The bad: Most jurisdictions do protection 77.5% 4.2% 8.3% 10.0% 100.0% not use any of these Habitat 81 12 18 9 120 ecosystem protection/ preservation/restoration restoration 67.5% 10.0% 15.0% 7.5% 100.0% approaches to facilitate natural Protected 76 17 14 13 120 resource protection areas 63.3% 14.2% 11.7% 10.8% 100.0%  The good:  35% of employ wetland protection to some or a very great extent.  22.5% employ protected areas to some or a very great extent. * These are preliminary data findings. A full report on this survey will be available on the HRRC website by November 2011
  • 20. Recommendation 1  We must do a better job of linking ecosystem restoration and preservation with hazard mitigation policies and planning activities:  This might be accomplished through:  Education programs related to hazard mitigation training  Incentives to enhance ecosystem restoration/preservation as a part of effective hazard mitigation planning  Guidelines: modify FEMA and State hazard mitigation guidelines  Mandates for ecosystem preservation/restoration to obtain hazard mitigation funding from the federal and state government.
  • 21. Social vulnerability, coastal hazards, and ecosystem restoration  Much like physical vulnerability except focused on social units  Focus is on social factors and processes that generate vulnerability in terms of a person’s or group’s capacity to anticipate, cope with, resist and recover from the impact of a natural hazard  These factors include:  Race/ethnicity, gender, education, poverty, age, and housing tenure  Social vulnerability will rarely be uniformly distributed among the individuals, groups, or various populations comprising social systems  As a consequence we can develop mapping tools to identify areas with higher concentrations of socially vulnerable populations
  • 22. Social vulnerability mapping strategy This table displays 1st order (base indicators) 2nd order, and 3rd order social vulnerability indicators that can be mapped using data available on the Texas Coastal Planning Atlas: coastalatlas.tamu.edu or coastalatlas.tamug.edu
  • 23. Area with high levels of transportation dependence and hazard exposure A map of the 2nd order SV measure of transportation needs, indicating census block groups with high concentrations of households without private vehicles and dependent on public transportation. These have been overlaid with hurricane surge zones. Areas that are darker and cross- hatched have high social and physical vulnerabilities, containing households at risk to hurricane surge yet with limited evacuation capabilities.
  • 24. Area with high levels of transportation Dependence and hazard exposure Not surprisingly, hurricane Ike evacuation data* clearly showed that households in these same areas were much later in leaving and less likely to evacuate. This map shows that households in these areas were much later to evacuate, risking getting trapped by Ike’s surge. *For a more complete discussion of these data and analysis see: Van Zandt et al forthcoming, Peacock et al. forthcoming; Highfield et al. 2011, and Peacock et al 2011.
  • 25. Area with high levels of SV and hazard exposure  Post Hurricane Ike research* has shown that areas with higher SV:  Suffered greater levels of relative damage This map is of the 3rd order social  Were less likely to have vulnerability (SV) measure homeowners and renters indicating areas with high insurance concentrations of socially vulnerable populations with lower  Were more likely to have ability to prepare and recover from applied for FEMA a disaster like Hurricane Ike. The assistance, but less likely more red the color, the higher the to apply for SBA loans SV.  Have been slower to be able to undertake significant repairs to their homes  Have been slower to receive permits for repairs  And, on the whole have been slower to recover. *For a more complete discussion of these data, analysis and findings see: Van Zandt et al forthcoming, Peacock et al. forthcoming; Highfield et al. 2011, and Peacock et al 2011.
  • 26. As we consider restoration efforts, we should also consider SV These maps show again show wetland permitting (i.e., development) in conjunction with social vulnerability. When considering wetland restoration policies we need to consider areas with high levels of social vulnerability as well as physical/hazard vulnerability.
  • 27. As we consider restoration efforts, we should also consider SV  Recommendation 2: When considering restoration efforts  Consider hazard vulnerability reduction  Targeting ecosystem restoration in high hazard areas  However, also consider social vulnerability issues as well  Try to obtain a double payoff  Reducing physical vulnerability in areas with high social vulnerability.  Be concerned about environmental justice issues  If ecosystem restoration always means displacement of socially vulnerable/less powerful citizens – this is a problem  If ecosystem restoration only means the powerful and rich benefit, this too is a problem.
  • 28. Coastal hazards, social vulnerability, and ecosystem restoration/preservation  Texas coastal counties are  There is a marked disconnect highly vulnerable to a variety between hazard mitigation of coastal hazards (wind, and ecosystem surge, and flooding) restoration/preservation  The population of these counties had grown  Recommendations: substantially from 1980 to  Link hazard mitigation to 2010 and has become highly ecosystem diverse restoration/preservation  That population growth has  particularly with respect to wetlands and habitat been coupled with substantial development of fragile wetland  When targeting ecosystem ecosystems restoration/preservation  Resulting in  Consider hazard reduction issues  Loss of ecosystem services  AND -- Consider social  Increased hazard exposure vulnerability issues
  • 29. References  Kang, Jung Eun, Walter Gillis Peacock, and Rahmawati Husein. 2010. An Assessment of Coastal Zone Hazard Mitigation Plans in Texas. Journal of Disaster Research, 5(5):526-34.  Walter Gillis Peacock, Shannon Van Zandt, Dustin Henry, Himanshu Grover and Wesley Highfield. Forthcoming. Social Vulnerability and Hurricane Ike: Using Social Vulnerability Mapping to Enhance Coastal Community Resiliency in Texas. Chapter 7 in Sever Storm Prediction, Impact, and Recovery on the Texas Gulf Coast. Edited by Phillip B. Bedient. College Station, Texas: Texas A&M Press.  Peacock, Walter Gillis, Jung Eun Kang, Yi-Sz Lin, Himanshu Grover, Rahmawati Husein, and Gabriel R. Burns. 2009. Status and Trends of Coastal Hazard Exposure and Mitigation Policies for the Texas Coast: The Mitigation Policy Mosaic of Coastal Texas. A Report Prepared for the Texas General Land Office and The National Oceanic and Atmospheric Administration Under GLO Contract No. 07-005-21. Hazard Reduction and Recovery Center, College of Architecture, Texas A&M University.  Peacock, Walter Gillis, Jung Eun Kang, Rahmawati Husein, Gabriel R. Burns, Carla Prater, Samuel Brody and Tommy Kennedy. 2009. An Assessment of Coastal Zone Hazard Mitigation Plans in Texas. A Report Prepared for the Texas General Land Office and The National Oceanic and Atmospheric Administration Under GLO Contract No. 07-005-21. Hazard Reduction and Recovery Center, College of Architecture, Texas A&M University.  Van Zandt, Shannon, Walter Gillis Peacock, Dustin Henry, Himanshu Grover, Wesley Highfield, and Sam Brody. Forthcoming. Mapping Social Vulnerability to Enhance Housing and Neighborhood Resilience. Housing Policy Debate.  Zahran, Sammy, Samuel D. Brody, Walter Gillis Peacock, Himanshu Grover, Arnold Vedlitz. 2008. Social Vulnerability and Flood Casualties in Texas, 1997-2001. Disasters 32(4): 537-560. 
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.