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3815_PGSF WMVD Pkg 2_Vol 4-2_03.03.2026_BXWA_Certified
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3815_PGSF WMVD Pkg 2_Vol 4-2_03.03.2026_BXWA_Certified
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Entry Properties
Last modified
4/22/2026 2:55:34 PM
Creation date
4/22/2026 2:02:54 PM
Metadata
Fields
Template:
Contracts
Contractor's Name
KLB Construction, LLC
Approval Date
4/22/2026
Council Approval Date
4/8/2026
Department
Public Works
Department Project Manager
Randy Loveless
Subject / Project Title
PGSF West Marine View Drive Storm and Combined Sewer, Package 2 Volume 4.2
Tracking Number
0005222
Total Compensation
$0.00
Contract Type
Capital Contract
Contract Subtype
Capital Construction Contracts and Change Orders
Retention Period
10 Years Then Transfer to State Archivist
Imported from EPIC
No
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ASPECT CONSULTING <br />18 FINAL PROJECT NO. AS190583A-08 MAY 21, 2025 <br />July and September 2017 and the following vertical gradients calculated within the Log <br />Pond (Table 2-1): <br /> Inland well pair (LP-MW-1/LP-MW-3). Downward vertical gradients are calculated <br />during both monitoring events (0.17 ft/ft and 0.06 ft/ft downward in July and <br />September, respectively), with an average of 0.12 ft/ft downward; and <br /> Shoreline well pair (MW-6/LP-MW-7). Vertical gradients change from upward <br />(0.014 ft/ft) in July 2017 to downward (0.0026 ft/ft) in September 2017; the average of <br />the two values is 0.006 ft/ft in an upward direction. <br />The lower-magnitude vertical gradients relative to the inland location, and the change <br />from slight upward to very slight downward gradients, measured at the shoreline is <br />consistent with groundwater approaching the surface water interface. <br />2.4.4.2.3 Hydraulic Conductivity Estimates <br />TIDAL STUDY-BASED ESTIMATES FOR FILL OUTSIDE OF LOG POND <br />Hydraulic conductivity (K) of the fill unit outside of the Log Pond was estimated from the <br />tidal study data, using the stage ratio and time lag methods of Ferris (1963). The Ferris <br />(1963) methods are intended to provide a K estimate representing the entire fill unit <br />between the well and the tide (area of groundwater discharge to the East Waterway). The <br />Ferris methods were developed for confined aquifer conditions, but can be applied for <br />unconfined aquifers if the observed tidal fluctuation in the aquifer is relatively small <br />compared to the aquifer thickness, and the observation well is far enough from the <br />submarine outcrop so that vertical flow is not a significant component of the flow path <br />(Millham and Howes, 1995). Because the fill unit is on the order of 40 feet thick along the <br />shoreline, these conditions are considered to be met sufficiently to use the methods to <br />estimate K. Groundwater levels within the Log Pond show negligible tidal influence, so <br />this method could not be applied to the Log Pond fill. <br />The stage ratio method uses the tidal efficiency measured at a well and the distance <br />between the well and the tide (point of discharge) as key input data. The time lag method <br />uses the tidal lag measured at a well and the distance between the well and the tide as key <br />input data. In each calculation, the tidal period for the semidiurnal Puget Sound tides is <br />12.4 hours, and the aquifer thickness at each well was estimated as an assumed 40-foot <br />depth for the bottom of fill (near the shoreline, based on the geologic cross sections) minus <br />the average measured depth to water below grade for the various water level <br />measurements at the well. The aquifer storage coefficient (specific yield for unconfined <br />aquifer) for the reworked alluvial materials was estimated as 0.1 based on the following <br />literature estimates and best professional judgement: <br /> United States Geological Survey (USGS, 1966) estimates for various facies of <br />unconsolidated alluvium: 0.04 for silt; 0.16 for very fine sand; 0.23 for fine sand. <br /> A model-calibrated value (0.02) for dredge fill at the Port of Seattle’s Terminal 30 <br />(S.S. Papadopoulos and Associates, 2006). <br /> A USGS (2003) estimate (0.13) for an alluvial aquifer in California.
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