Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
A Method to Group Wastewater Collection Systems by Key Attributes to Evaluate Potential Impacts from Urban Water Conservation
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 11.1 KB | |
| Created: | Dec 19, 2022 at 8:35 p.m. | |
| Last updated: | Jan 28, 2023 at 12:44 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 489 |
| Downloads: | 3 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
In California, over 400 water supply agencies provide water to 36 million people living in cities and suburbs. The wastewater generated by homes, businesses, and industrial facilities is managed by hundreds of wastewater collection, treatment, reuse, and recovery systems. A procedure was developed to extrapolate modeled effects of water conservation from a sample of collection systems (50) to all potentially-affected systems throughout the state (over 300). An Excel-based model of wastewater collection system operations was developed to evaluate physical and chemical changes in pipes from lower flows. The model was run for fifty systems across the state of varying sizes and locations. Key impacts of corrosion, hydrogen sulfide production, sediment deposition, and use of added chemicals were evaluated based on changes in wastewater influent flow rates. To then extrapolate effects statewide, collection systems were grouped by the key characteristics that correlate with modeled impacts. The R code associated with this Hydroshare resource demonstrates how to use modeled results from the subset of collection systems to: 1) Identify key explanatory attributes of impacts using statistically-significant regression models, 2) Use the key explanatory attributes to identify non-geographic clusters of collection systems, and 3) Use the clusters to group systems for extrapolating effects. The modeling was used to support regulatory rulemaking for California’s “Making Water Conservation a Way of Life” associated with Assembly Bill 1668 and Senate Bill 606 (AB 1668-SB 606). Details of the model’s development and use were presented in public workshops in December 2021 and May 2022, which can be found at this link: https://www.waterboards.ca.gov/water_issues/programs/conservation_portal/regs/water_efficiency_legislation.html
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment