Jacqueline L. Oravitz, PE
Joseph P. LeClaire, PhD
Ali T. Diba, PE

GIS-Based Pipeline Alternative Alignment Analysis Using PIPEplan

A water utility conducted an analysis of seven alternative alignments for a new aqueduct connection using PIPEplan (DCSE, 1997). PIPEplan is an interactive tool which quantifies environmental impact assessments in corridor planning for conveyance alignments. PIPEplan runs with the ArcView geographic information system (GIS) and Oracle relational database management system (RDBMS) and can be used by planners, managers, and engineers to conduct siting analysis.

PIPEplan was used to screen and rank the alternative alignments based on impacts to resources that fall within three categories: natural resources, land use, and agricultural resources. PIPEplan uses GIS and RDBMS, as well as internal algorithms to summarize resource impacts for each alternative alignment. Ratings of resources within a given category and weights between resource categories were considered in the analysis. The alignments were ranked based on the available data and on the analysis summarized in this report.


Project Background

The water utility is evaluating two major alternatives: (1) a 34-mile pipeline from and existing pipeline access point paralleling a railroad right of way and traversing mainly rural and agricultural areas; and (2) a 15 to 23-mile pipeline from the terminus the existing pipeline traversing a more remote area with more undisturbed natural resources

Methodology

The process of analyzing pipeline data is divided into a number of steps which are described in this section. The following terminology and associated analytical steps are described herein: segments and alignments; resources; resource rates and weights; impacts and buffer distances; generating impacts; calculating score for a given segment; segment ratings; and rating score for alignments.

Segments and Alignments

Each proposed alignment is comprised of several segments. The segments were analyzed separately, and the overall ratings for each alignment was obtained by summing the ratings of it's component alignments. The segments are shown on Figure 1. The composition of the various proposed alignments is as follows:

Figure 1 - Segments

AlignmentLengthLengthSegments
(ft)(miles)
1A179,50033.91-1, 1-2b, 1-3, 1-5, 1-6, 1-7b, 1-8, 1-9a
2A87,30016.52-1, 2-2, 2.3a, 2-4, 2-5, 2-6, 2-7, 2-8a
2B89,50017.02-1, 2-9a, 2-9b, 2-10, 2-12, 2-17a, 2-19a, 2-20
2C95,70018.12-21a, 2-21b, 2-22b, 2-23
2D120,00022.71-10, 1-6, 1-7b, 1-8, 1-9a
2AB81,00015.42-1, 2-2, 2-3b, 2-10, 2-11, 2-12, 2-17a, 2-19a, 2-20
2BC84,00015.92-1, 2-9a, 2-21b, 2-22b, 2-23, 2-25

Resources and Resource Ratings

A resource is an entity with an intrinsic societal value in the vicinity of a proposed alignment that can be impacted by the alignment. Resources can include natural resources such as wetlands and wildlife habitat or man-made resources such as cities, farmlands, and urban areas. Rates were assigned to each resource, specifying a "penalty" for impacting a resource. The higher the rate, the more significant the penalty. Table 1 shows the individual resources (indicated by "ID" and "Description") and the rates assigned for this analysis. The "Category" and "Resource" columns in the table, in general, represent categories and resources used in the pre-engineering alignment studies. The categies were mapped to the PIPEplan resources derived from ArcInfo coverages.

Table 1 -- Resource Ratings
Pre-Eng Refinement StudyPIPEplan Resource-Ratings Table
CategoryResourceIDDescriptionRate
Natural Resources
Wetlands51Wetland Lines: Seasonal Wetland5
54Wetland Areas: Seasonal Wetland5
4Stream-Intermittent5
10Pond-Intermittent5
11Marsh5
53Wetland Areas: Marsh5
Waters3Stream-Permanent3
9Lake/Pond-Permanent3
Riparian30Landuse: Riparian Vegetation - SAC3
40Landuse: Riparian Vegetation - SJQ3
52Wetland Lines: Riparian Woodland3
56Wetland Areas: Riparian Woodland3
Native Vegetation31Landuse: Native Vegetation - SAC2
41Landuse: Native Vegetation - SJQ2
Land Use
Annual crop27Landuse: Field Crops - SAC3
28Landuse: Truck Nursery and Berry Crops - SAC3
37Landuse: Field Crops - SJQ3
38Landuse: Truck Nursery and Berry Crops - SJQ3
Vineyard34Landuse: Vineyards - SAC5
44Landuse: Vineyards - SJQ5
Orchard25Landuse: Citrus and Subtropical - SAC4
26Landuse: Deciduous Fruits and Nuts - SAC4
35Landuse: Citrus and Subtropical - SJQ4
36Landuse: Deciduous Fruits and Nuts - SJQ4
Pastures39Landuse: Grain and Hay Crops - SJQ2
42Landuse: Pasture - SJQ2
29Landuse: Grain and Hay Crops - SAC2
32Landuse: Pasture - SAC2
Residences57General Plan Landuse: AG-RES - SAC5
58General Plan Landuse: COMM/OFF - SAC5
71Zone: Limited Agricultural/5ac - SJQ5
72Zone: Incorporated Cities - SJQ5
73Zone: Non-Agricultural - SJQ5
69Zone: Agricultural/Urban Reserve - SJQ5
70Zone: Limited Agricultural/10ac - SJQ5
Ag Structures33Landuse: Semiagricultural & Incidental to Agriculture - SAC5
43Landuse: Semiagricultural & Incidental to Agriculture - SJQ5
Agricultural Resources
Prime22Prime Farm Land - SAC4
48Prime Farm Land - SJQ4
Local47Farm Land of Local Importance - SJQ3
21Farm Land of Local Importance - SAC3
State49Farm Land of Statewide Importance - SJQ3
23Farm Land of Statewide Importance - SAC3
Unique50Unique Farm Land - SJQ3
24Unique Farm Land - SAC3

Impacts and Buffer Distances

An impact occurs wherever the alignment centerline comes within a buffer distance from a resource. Each impact has a starting and ending point within a given segment. The starting point is the point along the segment, indicated by the stationing along the segment, where the segment comes within the buffer distance. The impact occurs along the alignment until it is no longer within the buffer distance. If the segment begins or ends within the buffer distance from a resource, the impact will start at the beginning or end of the segment. Using a larger buffer distance will increase the length of the impact for any given resource. A buffer distance of 20 meter was used in this analysis to calculate the impact scores.

Generating Impacts

Impacts for each segment on each resource were derived using ArcInfo's dynamic segmentation (dynseg) data model. The dynseg events were generated for various buffer distances. The generated events were then transfered and normalized in the PIPEplan RDBMS for retrieval, overlay, rating, and display using the PIPEplan tool.

Calculating score for a given segment

PIPEplan was used to estimate the impacts of a segment to a selected set of resources. This resulted in a rating or score for each segment. When multiple resource impacts were assessed, their impacts were overlayed. Based on the buffer distance, an impact zone for each resource occurrence is established. Then, for the impact and rating calculations, the segment is subdivided by the boundaries of the impact zones. The rate for each sub-segment is the sum of the products of the rate times the weighting factor times the sub-segment length for each resource impacting that sub-segment. The overall rating for a segment is calculated form the sum of the rating for the sub-segments, and the overall rating for each alignment is the sum of the ratings of the segments comprising the alignment.

Results

Segment ratings were derived using a 20 meter buffer distance. The total impact score for each segment and resource category are shown in Table 2. The impacts for each resource category and for all of the resources in the categories combined. The impact score for each category and for the overall combination are illustrated on Figures 2, 3, 4, and 5. These impacts show the ratings as it changes in each subpart of each segment.

Table 2 - Segment Ratings
SegmentNatural ResourcesLand UseAgricultural ResourcesOverall
1-19,2984,6089,98123,887
1-2a1,22117,54013,36032,121
1-2b6,50134,66416,03357,199
1-36,5124,5134,26115,286
1-532,24055,94630,544118,730
1-69,97737,34943,70991,035
1-7a1,3841,6408283,852
1-7b8028,7856,02615,612
1-81,09858,52038,02997,647
1-9a5996,0187,51214,129
1-9b1,9479,7923,99715,736
1-108,19918,34218,48145,022
2-17,21017,4224,84129,474
2-26,9124,61711,00322,532
2-3a6,3826363,16810,186
2-3b6,2645153,40110,180
2-410,50511,68611,29133,482
2-51,059001,059
2-61,4931843161,992
2-79,36012,84218,79340,995
2-8a4,1024,2541,4949,849
2-8b5,2309,7216,43721,388
2-9a14,6285,4665,68425,778
2-9b18,3653,2287,11928,712
2-102,4391,5724334,443
2-115,5681,7621,1848,514
2-122,3103,8762,3438,528
2-139622,3607804,102
2-146871,4211,4953,603
2-153212,0529723,344
2-167,2341,9741,06610,274
2-17a3,6666,2686,86716,800
2-17b2,7852,2902,6477,722
2-182,0339,0757,29118,399
2-19a2,8363831,4214,640
2-19b4,0252891,3115,625
2-208,8672,6293,97615,473
2-21a37,66919,68730,01187,367
2-21b7,38135807,739
2-22a4,0161,4921,5727,080
2-22b3,5869871,6376,210
2-2316,87801,68818,566
2-2415,9564434,32220,721
2-256,810006,810

Figure 2 - Natural Resources Impact Ratings

Figure3 - Land Use Impact Ratings

Figure 4 - Agricultural Resources Impact Ratings

Figure 5 - Overall Impact Ratings

The score for the individual alignments were obtained by adding the scores for the segments composing these alignments. The final summary of the rating score combined into the seven alignments is provided in Table 3. Based on the available data and on the analysis summarized in this report, Alignment 2BC is the alignment that would have the least impact to the resources examined.

Table 5 - Alignment Ratings
AlignmentNatural ResourcesLand UseAgricultural ResourcesOverallNormalized
167,028210,403156,095433,526458%
2A47,02251,64250,905149,569158%
2B60,32140,84332,684133,848142%
2C65,51421,03233,336119,882127%
2D20,675129,014113,756263,445279%
2AB46,07139,04435,468120,582127%
2BC56,49424,23313,85194,578100%

References

Diba Consulting Software Engineers. 1997. PIPEplan User's Guide. Mission Viejo, California

Oracle is a registered trademark of Oracle Corporation
ERSI, ArcInfo, and ArcView are registered trademarks of Environmental System Research Institute, Inc.


About the Authors

Jacqueline L. Oravitz, P.E.
Senior Software Engineer
Diba Consulting Software Engineers
26980 Crown Valley Parkway
Mission Viejo, CA 92691
Telephone: (714)347-7587
Fax: (714)347-7565
email: jlo@dcse.com
http://www.dcse.com

Joseph P. LeClaire, Ph.D.
Supervising Environmental Scientist
Diba Consulting Software Engineers
26980 Crown Valley Parkway
Mission Viejo, CA 92691
Telephone: (714)347-7584
Fax: (714)347-7565
email: jpl@dcse.com
http://www.dcse.com

Ali T. Diba, PE
President
Diba Consulting Software Engineers
26980 Crown Valley Parkway
Mission Viejo, CA 92691
Telephone: (714)347-7575
Fax: (714)347-7565
email: atd@dcse.com
http://www.dcse.com