Mohammad Yunus Naseri

Virginia Polytechnic Institute and State University (Virginia Tech);UC Davis

Subject Areas: civil and environmental engineering, Water resources systems

 Recent Activity

ABSTRACT:

The United States Water Withdrawals Database (USWWD) provides a standardized compilation of user-level water withdrawal data across 42 US states. USWWD provides time series of water withdrawals at unprecedented spatial and temporal resolutions, encompassing 188,857 unique water users, 353,694 points of diversion and use, and 58,439,412 withdrawal volumes included in 7,524,266 records across various sectors. USWWD integrates diverse state-level data sources, standardizing information on water users, withdrawal locations, volumes, source types, and primary water use categories. The withdrawal data combines both direct measurements and various estimation techniques, reflecting the diverse methods utilized by different state agencies in reporting water usage. USWWD addresses significant gaps in national water use data, enabling researchers to conduct detailed analyses of water withdrawal patterns, trends, and drivers across space, time, and sectors. This granular dataset supports a wide range of applications, including water resource management, planning, and policy development. By providing the most detailed national water use data to date, USWWD facilitates new understanding of how society uses water.

This HydroShare data repository contains the complete USWWD dataset, organized by state in individual folders under the Data directory. Each state folder contains two primary files: the Water Use Characteristics file, which includes detailed tabular data on water withdrawal volumes, use sectors, measurement methods, water sources, types, and data flags; and the Water Withdrawal or Use Locations file, which provides location data including latitude and longitude coordinates for water diversion points and users. The repository also houses essential code in the Code directory, featuring Jupyter Notebooks for subclassifying unspecified water use categories, conducting data flagging assessments, and generating visualizations presented in the data descriptor (under review at Nature's Scientific Data) documenting USWWD database creation. Additionally, the repository includes metadata tables and the communication protocol used for communicating with state agencies that provided the source data. The repository also contains USGS five-year water use data products from 2000, 2005, 2010, and 2015 that were used for comparison with USWWD data.

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ABSTRACT:

This resource includes city-level aggregated residential water consumption data from single-family households and analysis code accompanying the manuscript "Patterns and Predictors of Residential Indoor Water Use Across Major US Cities". The dataset comprises daily water consumption patterns aggregated from 26,441 single-family households across 39 major US metropolitan statistical areas in the conterminous US. While the original data was collected at 5-second intervals using Flume's smart water monitoring sensors at individual households, this public dataset provides city-level daily aggregations to protect privacy. The data captures both total indoor water use and specific end uses (e.g., shower and toilet), along with aggregated household characteristics (e.g., house size and value), appliance presence (e.g., humidifiers and reverse osmosis systems), and daily climate variables (temperature, precipitation), the latter obtained from the Parameter-elevation Regression on Independent Slopes Model (PRISM). Two Jupyter Notebooks are included: one implementing functional data analysis to identify distinct usage patterns across city clusters, and another executing mixed-effects random forest analysis to investigate the influence of household features, appliances, and weather on water consumption patterns.

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Patterns and Predictors of Residential Indoor Water Use Across Major US Cities
Created: Jan. 8, 2025, 2:06 p.m.
Authors: Naseri, Mohammad Yunus · Grant Bernosky · Peter Mayer · Marston, Landon

ABSTRACT:

This resource includes city-level aggregated residential water consumption data from single-family households and analysis code accompanying the manuscript "Patterns and Predictors of Residential Indoor Water Use Across Major US Cities". The dataset comprises daily water consumption patterns aggregated from 26,441 single-family households across 39 major US metropolitan statistical areas in the conterminous US. While the original data was collected at 5-second intervals using Flume's smart water monitoring sensors at individual households, this public dataset provides city-level daily aggregations to protect privacy. The data captures both total indoor water use and specific end uses (e.g., shower and toilet), along with aggregated household characteristics (e.g., house size and value), appliance presence (e.g., humidifiers and reverse osmosis systems), and daily climate variables (temperature, precipitation), the latter obtained from the Parameter-elevation Regression on Independent Slopes Model (PRISM). Two Jupyter Notebooks are included: one implementing functional data analysis to identify distinct usage patterns across city clusters, and another executing mixed-effects random forest analysis to investigate the influence of household features, appliances, and weather on water consumption patterns.

Show More
Resource Resource

ABSTRACT:

The United States Water Withdrawals Database (USWWD) provides a standardized compilation of user-level water withdrawal data across 42 US states. USWWD provides time series of water withdrawals at unprecedented spatial and temporal resolutions, encompassing 188,857 unique water users, 353,694 points of diversion and use, and 58,439,412 withdrawal volumes included in 7,524,266 records across various sectors. USWWD integrates diverse state-level data sources, standardizing information on water users, withdrawal locations, volumes, source types, and primary water use categories. The withdrawal data combines both direct measurements and various estimation techniques, reflecting the diverse methods utilized by different state agencies in reporting water usage. USWWD addresses significant gaps in national water use data, enabling researchers to conduct detailed analyses of water withdrawal patterns, trends, and drivers across space, time, and sectors. This granular dataset supports a wide range of applications, including water resource management, planning, and policy development. By providing the most detailed national water use data to date, USWWD facilitates new understanding of how society uses water.

This HydroShare data repository contains the complete USWWD dataset, organized by state in individual folders under the Data directory. Each state folder contains two primary files: the Water Use Characteristics file, which includes detailed tabular data on water withdrawal volumes, use sectors, measurement methods, water sources, types, and data flags; and the Water Withdrawal or Use Locations file, which provides location data including latitude and longitude coordinates for water diversion points and users. The repository also houses essential code in the Code directory, featuring Jupyter Notebooks for subclassifying unspecified water use categories, conducting data flagging assessments, and generating visualizations presented in the data descriptor (under review at Nature's Scientific Data) documenting USWWD database creation. Additionally, the repository includes metadata tables and the communication protocol used for communicating with state agencies that provided the source data. The repository also contains USGS five-year water use data products from 2000, 2005, 2010, and 2015 that were used for comparison with USWWD data.

Show More