slide1
Download
Skip this Video
Download Presentation
Development and Reliability of Standard Land Development Models

Loading in 2 Seconds...

play fullscreen
1 / 28

Development and Reliability of Standard Land Development Models - PowerPoint PPT Presentation


  • 126 Views
  • Uploaded on

Development and Reliability of Standard Land Development Models. Robert Pitt 1 , Celina Bochis 2 , and Geosyntec Project Team Members 1 Cudworth Professor of Urban Water Systems, University of Alabama, Tuscaloosa 2 Former Postdoctoral Researcher, University of Alabama, Tuscaloosa.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Development and Reliability of Standard Land Development Models ' - roary-kirk


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Development and Reliability of Standard Land Development Models

  • Robert Pitt1, Celina Bochis2, and Geosyntec Project Team Members
  • 1Cudworth Professor of Urban Water Systems, University of Alabama, Tuscaloosa
  • 2FormerPostdoctoral Researcher, University of Alabama, Tuscaloosa
land development surveys
Land Development Surveys
  • Land development characteristics for different land uses have been collected for many locations throughout the US as part of stormwater research projects, stormwater management plans, and model calibration efforts.
  • This information was collated and statistically evaluated to identify similarities and trends in the major land use features for different locations in the country as part of this EPA Standards Development Process.
  • WinSLAMM used this information along with data from the National Stormwater Quality Database (NSQD) to develop regional calibrations and to evaluate different stormwater management alternatives.
example field data collection for development characteristics for different land uses in an area
Example Field Data Collection for Development Characteristics for Different Land Uses in an Area
  • Delineation of the watersheds and neighborhoods
  • Single land use neighborhood surveys: 6 to 12 per study area land use to determine the variability of the development characteristics
  • Site Inventory has 2 parts:
    • Field data collection
    • Aerial photographic measurements of different land covers
  • Each site has at least two photographs taken (now supplemented with Google Street View):
    • one as a general view
    • one as a close-up of the street texture and gutter/curb interface
slide4

Field Inventory

  • SheetPrepared for Each
  • Neighborhood
  • When in the field we look for:
    • 1. Roof types (flat or pitched) and material (now supplemented by small drone cameras)
    • 2. Roof connections (connected, disconnected)
    • 3. Pavement conditions and texture (smooth, intermediate, rough)
    • 4. Storm drainage type
    • (grass swales, curb and
    • gutters, and roof drains)
general land use categories modified based on local definitions and project needs
General Land Use Categories (modified based on local definitions and project needs)
  • Residential (separated by development age and veg type)
    • High, medium, low density
    • Apartments, multi- family units
  • Commercial
    • Strip commercial, shopping centers
    • Office parks, downtown business district
  • Industrial
    • Manufacturing (power plants, steel mills, cement plants)
    • Non-manufacturing (warehouses)
    • Medium and Heavy Industrial (lumber yards, junk and auto salvage yards, storage areas)
  • Institutional
    • Schools, churches, hospitals, nursing homes
  • Open Space
    • Parks, cemeteries, golf courses
    • Vacant spaces, undeveloped areas
  • Freeway
slide10

High Rise

Residential

Apartments

slide11

Open

Space:

Cemetery

Freeway

slide12

Scrap yard and

Storage Area

Light Industrial Area

(Warehouses)

slide13

Institutional

School

Strip

Commercial

slide14
Little Shades Creek WatershedAverage Land Cover DistributionHigh Density Residential (6 houses/acre)

TIA = 25%

DCIA = 15%

TR-55 = 52 - 65%

slide15

TIA = 61%

DCIA = 60%

TR-55 = 85%

TIA = 20%

DCIA = 15%

TR-55 = 25-52%

TIA = 67%

DCIA = 64%

TR-55 = 85%

TIA = 10%

DCIA = 6.7%

TR-55 = 20-25%

slide17

National Stormwater Quality Database (NSQD) and Geographical Calibration Areas

North West

Great Lakes

East Coast

South West

Central

South East

slide19

NSQD Data: These grouped box-whisker plots sort all of the data by land use. Kruskal-Wallis analyses indicate that all constituents have at least one significantly different category from the others. Heavy metal differences are most obvious.

slide20

NSQD data: Residential area concentrations grouped by EPA rain zones. Zones 1-4 are east half of country, zones 5-9 are western half of country. Zones 3 and 7 are the wettest zones.

slide21

Many study areas throughout the US had detailed land development information and concurrent stormwater quality data and were organized by geographical area and land use:

Number of Standard Land Use Files Used for Each Category

slide23

Rainfall Distribution Modeling for Different Locations and Land Uses

  • Can be used to establish treatment goals for a targeted annual runoff objective:
  • About 90% of the annual runoff corresponds to a rain depth from about 1.5 to 3.5 inches
  • About 70% of the annual runoff corresponds to a rain depth from about 0.75 to 2 inches
slide24

Source Area Modeling Identifies Major Sources of Flows and Pollutants for Critical Events:

- As expected, directly connected impervious areas are the major runoff sources for up to about 2 inch rains in residential areas, but then landscaped areas are more important. They are always important in most commercial and industrial areas.

arcgis and winslamm
ArcGIS and WinSLAMM
  • Typically user might use GIS to develop source areas and then manually enter values into the WinSLAMM interface
  • Developing databases and tools to automate that process
  • ArcSLAMM tool will produce WinSLAMM compliant databases per drainage or catchment area which can then be run in batch mode through WinSLAMM
conclusions
Conclusions
  • Standard land use information and associated development characteristics affect stormwater quality and quantity.
  • Surface coverage of different elements in each land use do not vary as much throughout the country as does random variations in directly connected imperviousness.
  • Obtaining regional standard land use information is a good investment, but it requires field work and evaluation of aerial imaging.
conclusions cont
Conclusions (cont.)
  • Historical tools used to automate the collection of this information was found to result in significant errors.
  • Newer high resolution tools (such as 6 inch LiDAR, light detection and ranging) has been shown to be quite effective in the collection of most of this data, but field surveys are still needed for supplemental information.
ad