ITEM: Peavine Pipeline Replacement Environmental Review
Sector: Water Supply and Storage • Location: Boulder Creek, California, United States of America
Source: Dodge USA
The San Lorenzo Valley Water District (SLVWD or District) is seeking a qualified consultant to guide design choices and prepare environmental documentation for the replacement of approximately 1.3 miles of damaged raw water pipeline and the removal of approximately 520 hazardous trees along Pipeline route. The affected Peavine Pipeline segment (Pipeline), which runs between Foreman Creek and Peavi
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Pre-Design |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The San Lorenzo Valley Water District (SLVWD or District) is seeking a qualified consultant to guide design choices and prepare environmental documentation for the replacement of approximately 1.3 miles of damaged raw water pipeline and the removal of approximately 520 hazardous trees along Pipeline route. The affected Peavine Pipeline segment (Pipeline), which runs between Foreman Creek and Peavine Creek, was damaged during the CZU fire in 2020 and must be reconstructed to restore the critic... |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
