W. E. T. Water Elevation Technologies David Lynch Project Manager Miriam Mosher GIS Analyst Jeff Gravett GIS Analyst Clinton Buehring GIS Analyst.

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Presentation transcript:

W. E. T. Water Elevation Technologies David Lynch Project Manager Miriam Mosher GIS Analyst Jeff Gravett GIS Analyst Clinton Buehring GIS Analyst

Analysis of Costs Associated with Obtaining Elevation Certificates for Low-Income Households in San Marcos, Texas

Agenda  Introduction  Summary  Purpose  Scope  Proposal  Data  Methodology  Implications  Budget  Timetable  Final Deliverables  Conclusion

Summary & Purpose Central Texas is prone to floods Many of San Marcos’ most flood-prone areas are low income Survey of property’s elevation (elevation certificate) required to obtain flood insurance. Grants possible to help low-income families get flood insurance – but how much money will it take?

Scope City limits and extraterritorial jurisdiction of San Marcos, Texas

Data Base Map Address Points Building Footprints City Limits ETJ Parcel Boundaries Railroad Street Centerlines Income Parcel Appraisals Hydrology San Marcos River Major Streams FEMA Floodway 100- & 500-year Floodplains Cross-Section Elevations 1998 Flood Area Flood Insurance Existing Elevation Certificates Previous Claims

Methodology Find properties at risk of flood damage Spatial join of parcels with flood data FEMA-defined floodplain Buffer of flood plain Areas flooded in October 1998 (used as an example of an extreme flood) Eliminate properties with existing elevation surveys Known surveys provided as point layer Match to parcels

Methodology Determine which properties are likely to have low-income residents Join parcels with possible flooding to property tax assessments Total assessed value of under $30,000 per Hays Central Appraisal District Estimated cost = (number of properties meeting criteria) x (cost per survey) Cost per elevation survey obtained through contact with San Marcos-area surveyors

Implications Analysis of San Marcos Flood Data, San Marcos Tax Appraisal Information, and FEMA Flood data to produce maps to show the following: Locations of residences that are with the floodplain, 100 year floodplain, and the 500 year floodplain. Analysis of these residences to see which ones fall into a low income bracket. Low income defined as Total Assessed Values less than $30,000. Locations of residences that have elevation certificates and if the fall into the floodplains.

Implications Analysis of the low income areas within the floodplains for the purpose of: To make a proposed block grant for the city of San Marcos, Texas that will help low income families receive the elevation certificates necessary to apply for flood insurance. These maps will be: Clear and easy to read, an overview of the current situation of residences in the floodplains, locations of low income families and their relationship with the floodplains.

Budget Total $25,000 Personnel: $21,000 3 Analysts × 12 weeks × 10 hours/week × $40/hour = $14,400 1 Project Leader × 12 weeks × 10 hours/week × $55/hour = $6,600 Miscellaneous $4,000 Office supplies & printing $1,000 Computer maintenance & repair $1,000 Contingency $2,000

Timeline Week of: JanFebruaryMarchApril Data Collection / Acquisition Spring Break Data Pre- Processing Analysis Web Site Metadata Interpretation Deliverables

Deliverables Final Report (2 copies; paper) Poster for Display All data used or created Website CD containing the following: (2 copies) Data provided (as modified during the pre-processing phase) Data generated as the result of analysis Metadata Electronic copy of Final Report in MS Word format. Electronic copy of Poster for Display PowerPoint Presentation “Readme” directions on use of the CD

Conclusion We know areas in need of flood insurance We know areas where residents may not be able to afford flood insurance Combine the two to determine the need for a grant

Participation Clinton Buehring GIS Analyst Proposal: Summary, Purpose, Conclusions, Participation Project: Contact for Surveyors & Insurance, Data Editing & Analysis Jeff Gravett GIS Analyst Proposal: Data Project: Data Editing & Analysis, 2D Mapping David Lynch Project Manager, Webmaster Proposal: Methodology, Budget, Timetable, Final Deliverables Project: Web Site, Development of Block Grant, Data Editing & Analysis Miriam Mosher GIS Analyst Proposal: Scope, Implications, References Project: Metadata, Income Data, Data Editing & Analysis, 3D Mapping