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Abstract

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Title: Abstract


1
Abstract
  • This paper examines the relationship
    between urban form and impervious surface. Smart
    growth development (compact, mixed-use,
    pedestrian friendly, etc) has been held up as a
    solution to the negative consequences of urban
    sprawl. For example, smart growth has been hailed
    as a solution to traffic congestions, the loss of
    open space, the consumption of open space and
    other environmental impacts attributed to sprawl.
    This analysis explores the relationship of
    sprawl/smart growth to one very widely used
    indicator of water quality, impervious surface.
    The study first grades development in Gloucester
    County, NJ on a smart growth/sprawl scale
    utilizing a housing-unit density (Hasse 2004).
    The analysis evaluates impervious surface at a
    sub-watershed level as derived from NJ DEP land
    use/land cover data. A correlation evaluation is
    then made between sprawl/smart growth and gross
    as well as percentage amounts of impervious
    surface. The results indicate that while sprawl
    development actually has less intense impervious
    surface coverage per acre due to its dispersed
    nature, the total impervious surface contributed
    by sprawl is substantially higher than
    contributed by smart growth when calculated on a
    per-capita basis. The study concludes that smart
    growth is locally more impacting to water quality
    at the site-level due to its compact nature but
    overall less impacting on the regional-level due
    to its smaller total footprint compared to sprawl
    patterns of development.

2
Sprawl has been claimed to impose greater impacts
to land resources (Hasse and Lathrop, 2003) than
compact development
3
Urbanization results in the creation of
impervious surfaceParking lots, sidewalks,
buildings, driveways, etc.
4
Impervious Surface Coverage and Water Quality
Arnold, Chester L Jr and Gibbons, C James
5
Research Questions
  1. Does Sprawl create more or less intense
    impervious surface than high-density growth?
  2. At what scale?
  3. Does sprawl create more or less total impervious
    surface per capita?
  4. At what scale?

6
Hypotheses
  • Sprawl creates a lower total amount of
    impervious surface within a sub-watershed
  • (Sprawl is good for water quality at the
    sub-watershed level)
  • 2) Sprawl creates a greater total amount of
    impervious surface per capita
  • (Sprawl creates a greater overall
    impervious surface footprint)

7
Methods (1)
  • Create a sprawl index related to density at
    housing unit level
  • Identify housing units as point layer
  • Assign the average housing population by census
    tract
  • Created Sprawl Index
  • Create Density Surface in Spatial Analyst (660 ft
    radius)
  • Assign the density value back to the housing
    points

8
Housing Units Graded for Sprawl (Density)
  • Sprawl index represents density of population
    within ¼ mile of any given housing unit

9
Methods (1 continued)
  • Evaluate correlation of sprawl index with percent
    impervious surface per watershed
  • Summarize the amount of Impervious Surface per
    watershed at different scales
  • HUC 11
  • HUC 14
  • Sub Watershed

10
(No Transcript)
11
Gloucester County Impervious Surface
12
Results - Basin
13
Results - Watershed
14
Results Sub-watershed
15
Discussion
  • Sprawl does create a lower total amount of
    impervious surface within a sub-watershed as
    compared to non-sprawling development
  • Relationship is strongest at the basin level
    (largest scale)
  • Many of the watersheds high sprawl values (i.e.
    low density) will receive more future development
    and can expect to increase I.S.

16
Discussion cont.
  • Sprawl creates more total impervious surface per
    person housed
  • Relationship is strongest at the sub-watershed
    level
  • Many of the watersheds have impervious surface
    not related to residential development
    (commercial and industrial).

17
Conclusion
  • Sprawl does have a relationship to impervious
    surface although it is a complex one.
  • Scale is an important factor
  • More research needed to determine the most
    appropriate scale of analysis
  • More sophisticated measure of sprawl would make a
    stronger conclusion
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