Please wait for the process to complete.
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 does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 1.7 MB|
|Created:||Jan 19, 2021 at 11:58 p.m.|
|Last updated:|| Jun 16, 2021 at 4:14 p.m.
|Citation:||See how to cite this resource|
|Content types:||Model Program Content|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
Urban water demand modeling with regression identifies explanatory factors of water use in cities. A generalized demand modeling approach was developed for over 400 urban water supply agencies in California. Using standardized data from self-reported sources for agencies across the state, a batch-processing approach was used to create standardized urban water demand models. The models were developed to test the validity of a simplified and generalized demand modeling approach using monthly available data. Semilog, multivariate regression models were developed for each urban water supply agency. Consumption from residential (single- and multi-family), commercial, industrial, and institutional water use were considered as outcome variables. Explanatory variables include indicator variables for months in a calendar year, periods of water conservation requirements during a 2011-16 severe drought, population, and water rates. The models were of reasonable fit, with adjusted R-squared values ranging from 0.6-0.99. Visual inspection revealed that the monthly models captured trends with reasonable accuracy. The time frame for models was 2013-18, a period with standardized available data through statewide reporting. The modeling approach has been subsequently further extended to incorporate additional climate variables (precipitation and evapotranspiration) for sector-specific models. The models are intended to understand explanatory factors of demand through a generalized modeling approach and not intended to be used for water supply operations without further refinement and testing. The approach can be adapted to many types of cities.
|MIGRATED_FROM||Model Program Resource|
|The content of this resource is derived from||California State Water Resources Control Board: Electronic Annual Reports (partial)|
|This resource has been replaced by a newer version||Porse, E. (2021). Urban Water Demand Regression Modeling for California Water Suppliers, HydroShare, https://doi.org/10.4211/hs.f70cefe684b746c6b37dd4ca056a6b34|
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.http://creativecommons.org/licenses/by-nc/4.0/