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Santa Clara Valley Water District·California

Fishery Habitat Characterization and Identification of Restoration Opportunities: Stevens Creek

Closes 12/7/2026$500k – $1.5MRequest for Proposal
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Description

The Santa Clara Valley Water District (Valley Water) seeks qualified firms to conduct comprehensive fishery habitat characterization, eco‑hydraulic modeling, and bio‑energetics analysis for steelhead in the Stevens Creek watershed. The work will generate spatially‑explicit habitat capacity models, integrate thermal limits, and identify restoration opportunities, supporting long‑term flow‑management and biodiversity goals. • Conduct field surveys and topographic (LiDAR/photogrammetry) data collection to produce high‑resolution DEMs and habitat datasets across multiple reaches. • Develop 2‑D hydraulic models (HEC‑RAS, River2D, or equivalent) at multiple flow regimes and translate outputs into habitat‑suitability and viable salmonid population metrics. • Apply bio‑energetics modeling (e.g., inSALMO) to assess population dynamics, productivity, and flow‑temperature interactions; deliver quantitative flow‑habitat relationships and restoration recommendations. • Provide detailed technical reports, GIS deliverables, project schedule, and required administrative documentation, with optional supplemental LiDAR for Guadalupe River and identification of up‑to‑three restoration sites.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Diana Ruiz Ramirez

[email protected]

(408) 630-2377

Key dates

Opened
10/21/2026
Questions due
11/6/2026
Pre-bid meeting
11/3/2026
Closes
12/7/2026
Duration
3 years

Last updated

Details

Type
Request for Proposal
Industry
Environmental Services
NAICS
541620
Solicitation №
VW0747

Budget estimate

$500,000 – $1,500,000

The solicitation does not disclose a total ceiling, but comparable multi‑year environmental‑consulting contracts for watershed habitat modeling in California typically range between $500,000 and $1.5 million, depending on the depth of data collection, modeling complexity, and deliverable scope. Factors influencing the final amount include the extent of LiDAR acquisition, number of flow scenarios modeled, and any optional supplemental restoration analyses.

AI estimate from the solicitation

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