|
Table
of Contents
|
|
Introduction |
|
Project
Area Description |
|
Purpose
and Content of the Study |
|
Methodology |
|
Data
Collection |
|
Mail
Surveys and Interviews |
|
Traffic
Counts, Spot Counts, and Tailrace Counts |
|
Flyovers |
|
Existing
Recreation Areas and Facilities |
|
Data
Analysis |
|
Recreation
Use Assessment |
|
Boat
Carrying Capacity Assessment |
|
Recreation
Demand Assessment |
|
Limitations |
|
Consultation
|
|
Summary
of Recreation Resources |
|
Summary
of Regional Recreation Resources |
|
Catawba-Wateree
Key Characteristics |
|
Catawba-Wateree
Project Area Recreation Areas |
|
Catawba-Wateree
Project Area Recreation Use Assessment |
|
General
Recreation User Characteristics |
|
Recreation
Use |
|
Boating
Use |
|
Project
Area Recreation Resources |
|
Lake
James |
|
Lake
James Existing Recreation Areas |
|
Lake
James Recreation Use Assessment |
|
Lake
James Boat Carrying Capacity Assessment |
|
Lake
James Survey Respondent Comments |
|
Lake
Rhodhiss |
|
Lake
Rhodhiss Existing Recreation Areas |
|
Lake
Rhodhiss Recreation Use Assessment |
|
Lake
Rhodhiss Boat Carrying Capacity Assessment |
|
Lake
Rhodhiss Survey Respondent Comments |
|
Lake
Hickory |
|
Lake
Hickory Existing Recreation Areas |
|
Lake
Hickory Recreation Use Assessment |
|
Lake
Hickory Boat Carrying Capacity Assessment |
|
Lake
Hickory Survey Respondent Comments |
|
Lookout
Shoals Lake |
|
Lookout
Shoals Lake Existing Recreation Areas |
|
Lookout
Shoals Lake Recreation Use Assessment |
|
Lookout
Shoals Lake Boat Carrying Capacity Assessment |
|
Lookout
Shoals Lake Survey Respondent Comments |
|
Lake
Norman |
|
Lake
Norman Existing Recreation Areas |
|
Lake
Norman Recreation Use Assessment |
|
Lake
Norman Boat Carrying Capacity Assessment |
|
Lake
Norman Survey Respondent Comments |
|
Mountain
Island Lake |
|
Mountain
Island Lake Existing Recreation Areas |
|
Mountain
Island Lake Recreation Use Assessment |
|
Mountain
Island Lake Boat Carrying Capacity Assessment |
|
Mountain
Island Lake Survey Respondent Comments |
|
Lake
Wylie |
|
Lake
Wylie Existing Recreation Areas |
|
Lake
Wylie Recreation Use Assessment |
|
Lake
Wylie Boat Carrying Capacity Assessment |
|
Lake
Wylie Survey Respondent Comments |
|
Fishing
Creek Lake |
|
Fishing
Creek Lake Existing Recreation Areas |
|
Fishing
Creek Lake Recreation Use Assessment |
|
Fishing
Creek Lake Boat Carrying Capacity Assessment |
|
Fishing
Creek Lake Survey Respondent Comments |
|
Great
Falls and Rocky Creek Lakes |
|
Great Falls and Rocky Creek Lakes Existing Recreation Areas |
Great
Falls and Rocky Creek Lakes Recreation Use
Assessment |
Great
Falls and Rocky Creek Lakes Boat Carrying
Capacity Assessment |
|
Great
Falls and Rocky Creek Lakes Survey Respondent Commentsss |
|
Lake
Wateree |
|
Lake
Wateree Existing Recreation Areas |
|
Lake
Wateree Recreation Use Assessment |
|
Lake
Wateree Boat Carrying Capacity Assessment |
|
Lake
Wateree Survey Respondent Comments |
|
This section describes the methodology for the data collection
efforts during the 1999 study period and the methods applied for the analysis
of the data. Data collection efforts focused on obtaining information
related to recreational use, existing recreation facilities, recreation
user perceptions, and boat carrying capacity. This information was then
analyzed to characterize existing recreational use and facilities, assess
boat carrying capacity, and assess future recreational demand.
A combination of data collection instruments was used
to collect recreational use data within the project area, including mail-out
surveys, recreational user interviews, traffic and spot counts at recreation
sites and tailraces, and watercraft counts from flyovers. Table 2.1-1
summarizes the data collection methods, targeted user groups, data collection
mediums (survey, interview, etc.), when and where the mediums were used,
estimated population numbers, number of surveys mailed, and number of
survey responses for each survey type. A total of 1,820 surveys was received
from the Survey A, B, D, and E mailings and the Survey C interviews. In
addition, about 5,200 spot counts and tailrace counts were conducted during
the study period to obtain further information about recreational use
within the project area.
| 2.1.1 |
Mail Surveys and Interviews |
Surveys and interviews were conducted during January 1999
through December 1999 to assess the existing recreation use and perceived
recreation needs within the project area. Appendix A includes the survey
and interview instruments used during these data collection efforts. Surveys
were mailed to different user types to obtain information and input from
property owners adjacent to the project reservoirs, the general population
in order to capture recreationists from the region, commercial marina
operations located within the project reservoirs, and lake management
and resource agencies. Two mailings of Surveys (A) and (B) were conducted
due to low response rates from the first mailing, in an attempt to reach
the targeted sample size of responses.
Survey (A) was mailed to property owners adjacent to the
Catawba-Wateree reservoirs selected from Duke Power's pier permit database.
Survey (B) was mailed to a sampling of registered boaters, and households
within the counties surrounding the reservoirs to obtain information from
potential and existing recreation users. The registered boaters were selected
from North Carolina's and South Carolina's boat permitting databases,
and households were selected from the voter registration databases. All
sample populations were selected through random sampling and stratified
by the geographic region to obtain evenly distributed and representative
survey information for the entire study area.
Interviews were conducted (Survey
C) of recreators using the public access areas. The interviews were conducted
both during the primary recreation season (April through October) and
the non-peak season (January through March and November through December).
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| Table 2.1-1. |
Summary of Data Collection Methods and Targeted User Categories
|
Survey (D) was mailed to all public and private marina
operators on the Catawba-Wateree reservoirs. Survey (E) was mailed to
lake management support agencies, including law enforcement, emergency
response, and safety training organizations; marine commissions; and resource
agencies associated with the Catawba-Wateree reservoirs.
| 2.1.2 |
Traffic Counts, Spot
Counts, and Tailrace Counts |
In January 1999, electronic traffic counters were placed
at 17 Duke Power access areas within the Catawba-Wateree system. The sites
were selected based on an assessment of the suitability of the site for
traffic counters, with an emphasis on obtaining information from the sites
with the anticipated highest level of use, and obtaining information from
sites geographically distributed throughout the project area. Early in
the study period, calibration of the traffic counters was conducted via
manual spot counts of traffic entering the sites and comparing those estimates
with the traffic counter data for that period; the results of this assessment
verified the accuracy of the traffic counter data. From January to early
April, a total of 10 traffic counters were stolen and several moved, resulting
in lost and sporadic data. As a result of these ongoing problems, traffic
counters were maintained at 11 representative sites, and spot counts were
conducted at 26 other representative sites. Table 2.1-2 contains a list
of all of the traffic counters used during the study. Table 2.1-3 contains
a list of all spot count sites and the number of days that counts took
place. The traffic counter issues were resolved before the primary recreation
season began and traffic counters that were removed were replaced with
spot counts. Therefore, it is not expected that there would be any bias
associated with the use estimates that are based on the results of the
traffic counts as a whole. Over 1,000 spot counts were conducted periodically
and randomly at selected times of the day and week during the study period
to record the type of recreational activity at the access areas. The spot
counts provided information at the sites where traffic counters were not
installed. Over 4,200 tailrace counts of recreational users were conducted
throughout the 1999 study period to obtain information about the recreational
use occurring within the tailrace areas.
| Table 2.1-2. |
Location of Traffic Counters
|
|
|
|
|
Allison Creek
|
Cane Creek
|
|
Beatties Ford
|
Conley Creek
|
|
Black Bear
|
Fort Mill
|
|
Buster Boyd
|
June Creek
|
|
Cedar Creek
|
Oxford
|
|
Hager Creek
|
Rhodiss
|
|
Lookout Shoals
|
River Bend
|
|
Lovelady
|
South Point
|
|
Pinnacle
|
|
|
White Oak
|
|
|
Whittenburg
|
|
| Table 2.1-3. |
Locations of Spot Counts
|
Flyovers were conducted of the 11 reservoirs beginning
in April and extending through Labor Day weekend. During the flyovers,
counts of the watercraft and type of use (such as water skiing, fishing,
motor boating, canoeing) were recorded. The purpose of the flyovers was
to capture peak boating use data to characterize the distribution of boating
use and to assess existing water-based carrying capacity conditions. Attempts
were made to adequately cover all the reservoirs within the Catawba-Wateree
system; however, focus was placed on obtaining information from James,
Rhodhiss, Hickory, Norman, Mountain Island, Wylie, and Wateree reservoirs,
where there is the most use and public access to the project reservoirs.
A total number of 21 flyovers were conducted, with 11 taken on weekends
(Saturday or Sunday), 5 on holidays, and 5 during the week (see Table
2.1-4). During each flyover, the data assessors attempted to fly over
and record all lakes within the Catawba-Wateree system. Due to inclement
weather and mechanical problems on some of the flights, some of the lakes
were not covered during several of the flyovers, or the distribution of
boating activity was not properly recorded. Appendix B provides a summary
for each date of the flyover coverage for each lake and the type of weather
for that day.
| Table 2.1-4. |
Summary of Flights Conducted during the 1999 Study Period
|
|
Month
|
Weekend
|
Weekday
|
Holiday*
|
Total
|
|
April
|
2
|
0
|
0
|
2
|
|
May
|
3
|
0
|
2
|
5
|
|
June
|
2
|
1
|
0
|
3
|
|
July
|
2
|
2
|
1
|
5
|
|
August
|
2
|
1
|
0
|
3
|
|
September
|
0
|
1
|
2
|
3
|
|
Total
|
11
|
5
|
5
|
21
|
* Includes Memorial Day weekend, Fourth of
July weekend, and Labor Day weekend
The boat count data were obtained during the flyovers
using aerial GPS surveying techniques with a Trimble Pro XRS GPS unit
in the airplane. The unit produces sub-meter level accuracy; however,
due to velocity and the angle of line of sight, most boat count locations
are probably only accurate to within 20 meters. All collected data were
differentially post processed with the use of Duke Power's base station.
Post processing differential correction allows for the removal of error
produced by the ionosphere, and error associated with the Department of
Defense's Selective Availability distortion. Once the final data were
corrected, they were combined into a single coverage or "theme"
depicting the total number of boats and the boat type. For instance, some
areas had clusters of boats; therefore, a single point may represent many
boats that were very close together. For each lake, boat count maps were
created and are included in Section 4 of this report. Figure 2.1-1 shows
an example of the boat count maps. The boat types are differentiated by
color and symbol type. The count groups (i.e., 1 - 5, 6 - 10) are maintained
for all boat types. Public access and marina features are added for display
purposes.
|
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Figure 2.1-1
Example of Boat Count Maps
|
 |
| 2.1.4 |
Existing Recreation Areas
and Facilities |
Duke Power compiled information about existing recreation
facilities at Duke-owned public access areas. State and county agencies
were contacted to obtain information about recreation facilities at the
state- and county-owned recreation areas. In addition, information was
obtained from state and county agencies on planned recreation facilities
within the
project region. Information on facilities at the commercial marinas was
obtained from information provided through Survey (D) responses and from
Duke Power Lake Management Staff.
Data obtained during the 1999 study period were compiled
and analyzed to characterize the recreation facilities and recreational
use within the project region by reservoir. The following sections summarize
the approach for data assessment for recreational use and boat carrying
capacity.
| 2.2.1 |
Recreation Use Assessment |
Recreation use and needs data collected from the traffic
counters, site observations, interviews, and surveys were analyzed to
compile information for each of the reservoirs within the Catawba-Wateree
system (see Section 4.0). This information includes for each reservoir:
descriptions of the total use, type of recreation activity, length of
stay at the project, boating use and characteristics, perception of crowding,
any conflicts people had with other people during their recreational activity,
and peoples' perceptions about the adequacy of the facilities and need
for additional facilities. We also include an estimate of the shoreline
classification of land use types for each lake, including the estimated
shoreline miles for existing and future public recreation access from
the updated SMP maps that are being filed with FERC concurrently as a
part of this filing.
| 2.2.2 |
Boat Carrying Capacity
Assessment |
Overall Boat Carrying Capacity Estimate by Reservoir
The overall boat carrying capacity for each reservoir
was assessed based on standards and procedures identified in "Guidelines
for Understanding and Determining Optimum Recreation Carrying Capacity"
(BOR, 1977) and "Management of Aquatic Recreational Resources"
(Warren and Rea, 1989). Several data items were identified for each lake
including:

  |
peak boating use estimate for weekday, weekends,
and holidays; |

  |
average person per boat type and overall
average person per boat; |

  |
total usable boating surface acres for each
lake; |

  |
optimum boating acres per boat for each
boat activity type; and |

  |
distribution of the type of boating per
category, i.e., what percent of the total boating use is fishing,
cruising, jet skiing, etc. |
The peak boating use estimates were obtained from the
flyovers conducted during April through Labor Day 1999. The average person
per boat type and distribution of the boating use were obtained from the
interviews and surveys conducted during the 1999 study period.
The optimum boating acreage per boat activity type was
derived from acknowledged standards and procedures (BOR, 1977; Warren
and Rea, 1989). The optimum boating acreage per boat activity was adjusted
by assessing various factors and determining if these factors would influence
the overall capacity for each lake by:

  |
a negative (-) rating. The factor
would influence the overall capacity in a manner that recreators would
not be as likely to tolerate higher use densities; |

  |
a neutral (0) rating. The factor would
have a mixed or neutral influence on how the recreators would tolerate
higher use densities; and |

  |
a positive (+) rating. The factor
would influence the overall capacity in a manner that recreators would
tolerate higher use densities. |
The following factors were assessed for each lake (modified
from Warren and Rea, 1989):
| 1. |
Location of the lake in relation to population
served. Users from more urban population centers are more accustomed
to higher use densities than individuals from more rural areas. Individuals
from more urban areas therefore tend to be more tolerant of higher
use densities than those individuals from more rural areas. Lakes
where the recreators were more likely to be from rural areas were
given a negative (-) rating. Lakes where there could be a mix of urban
and rural users were given a neutral (0) rating. There were no lakes
within the Catawba-Wateree system that were considered to have a purely
urban use. |
| 2. |
Multiple use of water area. Lakes
where multiple types of activities occur generally cause the capacity
tolerance level of each activity to be lower as a result of potential
user conflicts between the different recreation activity types. All
lakes within the Catawba-Wateree system receive multiple use, and
therefore all lakes were given a negative (-) rating for this factor. |
| 3. |
Shoreline configuration. Lakes with
irregular shoreline areas generally result in lower carrying capacity.
Lakes with irregular shorelines were given a negative (-) rating for
this factor. |
| 4. |
Amount of open water. Lakes with
large, open areas can accommodate more boats in a safer manner than
lakes with small areas of open water surface areas. Lakes with small
surface areas were given a negative (-) rating factor, lakes with
moderate open spaces were given a neutral (0) rating factor, and lakes
with large open water surface areas were given a positive (+) rating
factor. |
| 5. |
Amount of facility and shoreline development.
Lakes with a higher number of recreation facilities and access
areas can handle a higher capacity than lakes with few facilities
or limited access. In addition, recreators are more tolerant of higher
use densities when there is a greater amount of shoreline development
as compared to lakes where there is less shoreline development and
more natural conditions exist. Lakes with few facilities and an undeveloped,
more natural shoreline were given negative (-) ratings for this factor.
Lakes with moderate development and shoreline facilities were given
neutral (0) ratings. Lakes with a greater number of access areas,
shoreline development and shoreline facilities were given positive
(+) ratings. |
| 6. |
Crowding rating. Each lake was assessed
based on the combined Surveys A, B, and C respondents rating of perceived
crowding levels (rated on a scale of 1 to 5). Lakes where the overall
weekend crowding levels were rated at 3.5 or higher were given a negative
(-) rating. Lakes with ratings lower than 3.5 were given a neutral
(0) rating. |
Each factor was assessed for each lake and given a value as shown in
the following example:
| Factor |
Adjustment
|
| 1. |
Location of the lake in relation to population
served |
0
|
| 2. |
Multiple use of water area |
-
|
|
3.
|
Shoreline configuration |
-
|
| 4. |
Amount of open water |
0
|
| 5. |
Amount of facility and shoreline development |
0
|
| 6. |
Crowding rating |
0
|
| |
Total
|
-2
|
This factor was then applied to consider the appropriate
standard as summarized in Table 2.2-1. In the case of this example, the
total factor assessment added up to -2, and therefore the -2 boat acreage
adjustments were used in the overall boat carrying capacity assessment.
| Table 2.2-1 |
Boat Activity Type Acreage Adjustment
(Source: Modified from Warren and Rea, 1989)
|
|
Boat Activity Type
|
Low
|
-4
|
-3
|
-2
|
-1
|
Base
|
1
|
2
|
3
|
4
|
High
|
|
Fishing
|
10.0
|
9.0
|
8.0
|
6.0
|
5.0
|
4.3
|
4.0
|
3.3
|
3.0
|
2.3
|
2.0
|
|
Canoe/Kayak
|
2.5
|
2.3
|
2.0
|
1.8
|
1.5
|
1.3
|
1.1
|
1.0
|
0.8
|
0.7
|
0.5
|
|
Motor
Boating
|
18.0
|
17.0
|
15.0
|
13.0
|
11.0
|
9.0
|
8.0
|
7.0
|
6.0
|
5.0
|
3.0
|
|
Sailing
|
10.0
|
9.0
|
8.0
|
6.0
|
5.0
|
4.3
|
4.0
|
3.3
|
3.0
|
2.3
|
2.0
|
|
Jet
Skiing
|
10.0
|
9.0
|
8.0
|
6.0
|
5.0
|
4.3
|
4.0
|
3.3
|
3.0
|
2.3
|
2.0
|
|
Water
Skiing
|
20.0
|
18.0
|
17.0
|
15.0
|
14.0
|
12.0
|
11.0
|
10.0
|
9.0
|
8.0
|
7.0
|
Table 2.2-2 provides an example of how the boat carrying
capacity assessment was conducted for each reservoir. The usable surface
area (column B) was divided by the use factor for each type of identified
boating activity type. For each reservoir, the usable boating surface
area was determined by using the total surface area at full pond and subtracting:
(1) all island areas; (2) all isolated lake areas that are segmented from
the larger reservoir and not accessible by boat from the main lake; and
(3) all areas within 120 feet (allowable length of private piers) of the
shorelines. These restrictions were applied to establish a conservative
estimate of the usable boating surface area available at each reservoir.
Items 1 and 2 are applied to all boating types, while item 3 is applied
to all boating types except canoe/kayak and fishing activities. The boating
activity types (column A) were classified as fishing, canoeing/kayaking,
cruising, sailing, jet skiing, and water skiing. The use factor for each
boat activity type (column C) was derived from adjusted standards for
optimum boating surface area (acreage) as described previously. The estimated
maximum number of boats for each boat activity type (column D) was derived
by multiplying the total usable acreage (column B) by the use factor (column
C) for each boat activity type. This estimate provides the total estimated
maximum use for each category if the only activity occurring were just
that boating type category. To assess the mix of boat activity type that
occurs on the reservoirs, the percent usage for each category (column
E) was identified based on survey and interview data. The total boat activity
mix (column F) was derived by multiplying the maximum number of boats
(column D) by the percent usage (column E). The estimated persons per
boat (column G) was based on the survey data, and was used to determine
the potential number of total users (column H) by multiplying this number
(column G) by the boat activity mix (column F).
| Table 2.2-2. |
Example of Boat Carrying Capacity Assessment
|
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
|
Boat Activity
|
Usable Acreage
|
Use Factor
|
Max. No. Boats
|
% Usage
|
Boat Activity Mix
|
Persons/ Boat
|
Total Users
|
|
Fishing
|
6,812
|
6.0
|
1,135
|
40.0%
|
454
|
3.14
|
1,427
|
|
Canoe/Kayak
|
6,812
|
1.8
|
3,784
|
4.5%
|
171
|
3.26
|
557
|
|
Cruising
|
5,059
|
13.0
|
389
|
26.5%
|
103
|
3.90
|
402
|
|
Sailing
|
5,059
|
6.0
|
843
|
2.6%
|
22
|
3.36
|
73
|
|
Jet
Skiing
|
5,059
|
6.0
|
843
|
11.6%
|
98
|
3.85
|
377
|
|
Water
Skiing
|
5,059
|
15.0
|
337
|
14.8%
|
50
|
4.39
|
220
|
|
Total
|
|
|
|
100%
|
898
|
|
3,055
|
The optimum estimated capacity was then compared to the
peak boating use observed during the 1999 data study period (see Table
2.2-3). The peak boating use estimate was determined for weekday, weekend,
and holiday boating use (i.e., 175 weekday, 219 weekend, and 377 holiday)
by applying the highest number of boats observed at the reservoir during
one day during the flights conducted in the 1999 study period. These numbers
were then divided by the capacity/activity mix (number of boats) (i.e.,
898) to derive the estimate of the percent of boat carrying capacity for
the weekday (19 percent), weekend (24 percent), and holiday (42 percent).
This estimate represents the percent of the maximum boat carrying capacity
occurring at the reservoir in the peak use period during the 1999 study
period.
| Table 2.2-3. |
Example of Estimated 1999 Study Period Boat Capacity
|
|
Peak Use
|
Weekday
|
% Capacity
|
Weekend
|
% Capacity
|
Holiday
|
% Capacity
|
|
No.
boats
|
175
|
19%
|
219
|
24%
|
377
|
42%
|
Boat Density Assessment
Boat density grids were created in order to indicate the
locations where the highest levels of boating use were occurring in the
study area during peak use days. Boat density grids were calculated for
both the highest use day and the average high use days for each lake in
the study area. The average high-use day grids are the average of output
grids for high use days. The number of high use days varied between the
3 and 5 highest use days using the natural break method. The method for
calculating the boat density in acres per boat for a specific lake on
a specific day is as follows:
Boat density was calculated using the ESRI Arc View Spatial
Analyst density function with the following parameters:

  |
The grid output extent parameter was selected
to be the same as the specific lake extent since we are calculating
density for that specific lake. |

  |
A 50 x 50 foot grid cell size was selected
because this cell size is small enough that the resulting density
maps don't look grainy but is large enough that data processing was
practical. |

  |
1.5 miles were selected for the radius
parameter to smooth the GPS data to show general boat use density
patterns that are easily interpreted. It is useful to smooth the specific
GPS data for the following 3 reasons:
| 1) |
The GPS data was collected at a large
scale accuracy, from a plane travelling up to 80 miles per hour. |
| 2) |
Boats are not static but are often
moving while the data is being collected. |
| 3) |
Many GPS points had multiple boats
associated with them. Some locations had over 100 boats. Multiple
boats don't occur at one point location. |
|

  |
The kernel density parameter was selected
to create a smoother and more easily interpreted density grid. |
The resulting grid is density in boats per square mile.
This grid was revised to take into account that some of the 1.5 mile radii
around many of the grid cells included land areas. The original grid in
boats per total area were divided by the proportion of available water
surface area to total surface area, so that the resulting grid would be
in boats per square mile of surface water. Finally, the grid was converted
to acres per boat to obtain the final boat density maps. Figure 2.2-1
is an example of a boat density map.
| 2.2.3 |
Recreation Demand Assessment |
Population projections, future recreational demand projections,
and estimated acreage for facility needs were analyzed to assess future
recreational demand and land acreage needs for future recreation facilities.
Population projections of the counties within about 50-60 miles of each
reservoir (impact zone) were conducted for each reservoir within the Catawba-Wateree
system. Population projections were conducted for these impact zones using
population data from the Office of State Planning for the counties in
North Carolina and from the Office of Research and Statistics for the
counties in South Carolina for 1970 through 1990 and population projections
from the U.S. Census Bureau for 2000, 2010, and 2020. An average percentage
increase for each ten year period was calculated. The impact zone populations
were then projected to the year 2050 using the average percentage growth
for the entire time period. Current use estimates are based on spot counts
and responses to surveys conducted during the summer of 1999. The recreational
use projections (Table 2.2-4) were estimated by computing the projected
population increase for the impact zone and incorporating indexed values
for future recreational use for the various activities. The index values
for each activity were obtained from "Outdoor Recreation in American
Life: A National Assessment of Demand and Supply Trends" (Cordell,
1999). The indices are based on models that incorporate a number of variables,
including age structure of the population, income, race, sex, and population
density, as well as other explanatory variables. Full model parameters
and estimates are available from the author. Sub-totals of boating activity
use and projected demand are given.
| Table 2.2-4. |
Lake Estimated Future Recreational Use
|
|
Activity
|
Est. 1999 Rec Use
|
Rec Use 2010
|
Rec Use 2020
|
Rec Use 2030
|
Rec Use 2040
|
Rec Use 2050
|
|
Motor
Boating*
|
73,115
|
78,639
|
84,436
|
90,636
|
98,221
|
106,483
|
|
Boat
Fishing*
|
146,902
|
169,494
|
190,814
|
210,438
|
223,040
|
229,633
|
|
Bank/Pier
Fish
|
51,118
|
58,979
|
66,398
|
73,227
|
77,612
|
79,906
|
|
Lake
Swimming
|
82,686
|
93,274
|
103,771
|
115,065
|
128,221
|
143,386
|
|
Canoeing*
|
12,152
|
13,533
|
14,756
|
16,450
|
18,947
|
22,595
|
|
Jet
Skiing*
|
35,369
|
38,041
|
40,845
|
43,844
|
47,514
|
51,510
|
|
Kayaking*
|
0
|
0
|
0
|
0
|
0
|
0
|
|
Tailrace
Fishing
|
2,987
|
3,447
|
3,880
|
4,279
|
4,535
|
4,669
|
|
Sailing*
|
7,671
|
8,251
|
8,859
|
9,509
|
10,305
|
11,172
|
|
Water
Ski/Tubing*
|
36,049
|
38,773
|
41,631
|
44,688
|
48,428
|
52,501
|
|
Backpacking
|
5,974
|
7,667
|
9,637
|
11,885
|
14,137
|
16,505
|
|
Hunting
|
7,468
|
7,714
|
7,868
|
7,849
|
7,557
|
7,184
|
|
Tent/Vehicle
Camp
|
19,416
|
25,455
|
32,582
|
40,804
|
49,915
|
59,882
|
|
Windsurfing
|
0
|
0
|
0
|
0
|
0
|
0
|
|
Bicycling
|
5,974
|
7,085
|
8,344
|
9,754
|
10,635
|
11,419
|
|
Picnicking
|
39,240
|
46,212
|
53,743
|
62,216
|
71,656
|
82,075
|
|
Sightseeing
|
36,049
|
43,803
|
52,209
|
61,220
|
71,178
|
81,680
|
|
Hiking
|
19,416
|
24,319
|
29,646
|
35,358
|
40,793
|
45,864
|
|
Wildlife
Viewing
|
20,910
|
26,693
|
33,587
|
40,557
|
46,624
|
51,171
|
|
Using
Playgrounds
|
4,481
|
5,282
|
6,103
|
6,981
|
7,966
|
9,058
|
|
Sub-total *
|
311,258
|
346,731
|
381,341
|
415,565
|
446,455
|
473,894
|
|
Total
|
606,978
|
696,658
|
789,110
|
884,762
|
977,285
|
1,066,694
|
Table 2.2-5 shows the estimated absorption percentage
for the four major recreation activities that require specific lands and
facilities. Picnicking, swimming, camping, and boating are activities
that require specific developed facilities. The other activities listed
are dispersed activities that can take place at a variety of undeveloped
areas. The estimated 1999 use levels are from Table 2.2-4. The estimated
demand is based on the impact zone population (population of all counties
within 50-60 miles of the lake). The impact zone population is multiplied
by the participation rate for the activity, which was obtained from "Emerging
Markets for Outdoor Recreation in the United States: Based on the National
Survey on Recreation and the Environment" by H. Ken Cordell, et al.
Participation rates are for the South and are similar to 1995 North Carolina
and South Carolina SCORP data. Specific participation rates are as follows:
swimming, 37.3%; picnicking, 44.8%; camping 22.4%; boating, 45.0%. The
product of the impact zone population and participation rates are then
multiplied by the estimated of number of days of participation for each
activity, which were obtained from the 1995 North Carolina SCORP. The
North Carolina SCORP data were used for all of the lakes, since specific
data about days of participation are not available for South Carolina.
The 1999 estimated number of participants for each activity was then divided
by the 1999 estimated demand to obtain the estimated absorption percentage.
Absorption percentage is defined as the percent of total demand for the
impact zone that is met by the individual lake.
| Table 2.2-5. |
Estimated Absorption Percentages for Reservoir
|
|
Activity
|
Estimated
1999 Participants
|
Estimated
1999 Demand
|
Absorption
Percentage
|
|
Swimming
|
82,686
|
1,878,512
|
4.4%
|
|
Picnicking
|
39,240
|
1,156,622
|
3.4%
|
|
Camping
|
19,416
|
454,775
|
4.2%
|
|
Boating
|
311,258
|
1,445,415
|
21.5%
|
Table 2.2-6 provides the estimate of the recreational
facilities land acreage needed to meet the future recreational demand
through the year 2050. The recreation activities that were determined
to have a specific need for recreational facilities were addressed. These
are swimming, picnicking, camping and boating (Column A). The weighted
population (Column C) is the estimated impact zone population multiplied
by the participation rate for each activity. The facility standards (Column
D) and estimated acreage needs for the facility class (Column F) are based
on State SCORPS and FERC Guidelines for Outdoor Recreational Facilities.
The facility need (Column E) is the total facility need for the impact
zone based on the weighted population and the facility standards. The
total facility need is then multiplied by the absorption percentage to
determine the facility need for each lake (Column G). The acreage needs
(Column H) are then based on the individual lake facility need multiplied
by per unit acreage needs that are based on State SCORPS and FERC Guidelines
for Outdoor Recreation Facilities.
The estimated acreage needs for the reservoir are total
acreage needs. Duke Power sites, county and state parks, and other private
and public agencies all help meet these needs. There are a number of state
and county parks that are located on lands leased from Duke Power. These
areas are listed as Duke Power owned access areas, but are discussed under
the Summary of County or State Public Recreation Facilities. Duke Power
is expected to meet a portion of the future recreational land needs. The
entire estimated need will be met by a combination of opportunities from
all sources.
| Table 2.2-6. |
Estimated Recreation Facility Land Acreage Needs
|
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
|
Activity
|
Year
|
Weighted Population
|
Facility Standard
|
Facility Need
|
Facility Class
|
Lake Share
|
Acreage
|
|
Swimming
|
2010
|
226,054
|
1 per 50,000
|
4.52
|
beaches
|
0.20
|
1.09
|
| |
2020
|
251,172
|
1 per 50,000
|
5.02
|
beaches
|
0.22
|
1.22
|
| |
2030
|
267,636
|
1 per 50,000
|
5.35
|
beaches
|
0.24
|
1.30
|
| |
2040
|
282,013
|
1 per 50,000
|
5.64
|
beaches
|
0.25
|
1.36
|
| |
2050
|
315,227
|
1 per 50,000
|
6.30
|
beaches
|
0.28
|
1.53
|
|
Picnicking
|
2010
|
271,508
|
1 per 500
|
543.02
|
tables
|
18.46
|
1.85
|
| |
2020
|
301,676
|
1 per 500
|
603.35
|
tables
|
20.51
|
2.05
|
| |
2030
|
321,450
|
1 per 500
|
642.90
|
tables
|
21.86
|
2.19
|
| |
2040
|
338,718
|
1 per 500
|
677.44
|
tables
|
23.03
|
2.30
|
| |
2050
|
378,610
|
1 per 500
|
757.22
|
tables
|
25.75
|
2.57
|
|
Camping
|
2010
|
135,754
|
6 per 1,000
|
271.51
|
campsites
|
34.21
|
8.55
|
| |
2020
|
150,838
|
6 per 1,000
|
301.68
|
campsites
|
38.01
|
9.50
|
| |
2030
|
160,725
|
6 per 1,000
|
321.45
|
campsites
|
40.50
|
10.13
|
| |
2040
|
169,359
|
6 per 1,000
|
338.72
|
campsites
|
42.68
|
10.67
|
| |
2050
|
189,305
|
6 per 1,000
|
378.61
|
campsites
|
47.70
|
11.93
|
|
Boating
|
2010
|
175,147
|
1 per 4000
|
350.29
|
boat
ramps
|
9.41
|
9.41
|
| |
2020
|
194,608
|
1 per 4000
|
389.22
|
boat
ramps
|
10.46
|
10.46
|
| |
2030
|
207,364
|
1 per 4000
|
414.73
|
boat
ramps
|
11.15
|
11.15
|
| |
2040
|
218,503
|
1 per 4000
|
437.01
|
boat
ramps
|
11.74
|
11.74
|
| |
2050
|
244,237
|
1 per 4000
|
488.47
|
boat
ramps
|
13.13
|
13.13
|
| |
|
|
|
|
Total Acreage
|
29.15
|
There are some limitations to the utility of the data
collected as a part of this study. First is the distribution of surveys
that were collected. The overall number of surveys that was collected
was quite high, however the number of responses received for some of the
lakes was low. This could call into question the representativeness of
the surveys that were analyzed. This issue arises for Lookout Shoals Lake,
Rocky Creek Lake, and Fishing Creek Lake. Also, since the study takes
place over the course of one year, effects due to anomalous weather patterns
are unlikely but possible.
Consultation was conducted throughout the development
of the Recreation Study. The draft study methodology for the Recreation
Study was distributed to state agencies, non-governmental agencies, and
lake management agencies (consulted parties) for review and comment on
August 28, 1998. The study methodology was revised to incorporate or respond
to these comments and submitted to FERC on October 29, 1998, for FERC
review and approval, which was noticed on February 17, 1999. Data collection
efforts began in January 1999 and continued through December 1999 (study
period). During the study period, three interim reports, summarizing the
status of the data collection efforts were distributed to FERC and the
consulted parties for their review and information. The first interim
report was distributed on April 29, 1999, the second report was distributed
on July 30, 1999, and the third interim report was distributed on November
29, 1999. No comments were received on the interim reports. The draft
Recreation Study was be submitted to FERC and the consulted parties on
March 31, 2000, for review and comment. Only 1 comment letter was received
in regard to the submittal of the final Study. The letter and responses
to the comments contained within it are included in this filing.
|
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Figure 2.2-1
Example of a Boat Density Map for
|
 |
|