Florida H2OSAV Insights: Home Water Use in Osceola County

This fact sheet provides current, basic information about residential water use in Osceola County, Florida. Written by Nick Taylor, Kaitlin Robb Price, Bradley Spatz, Parker Johnson, and Pierce Jones, and published by the UF/IFAS Department of Agricultural and Biological Engineering, November 2021.

Effect of the COVID-19 Pandemic on Residential Water Use Behavior in Japan

To investigate the effect of the COVID-19 (coronavirus) pandemic on residential water use behavior in Japan, we conducted a web-based survey of 1310 people throughout Japan in March 2021, one year after the initial spread of coronavirus. The survey was designed to provide an average picture of Japan. The survey revealed that the time respondents spent at home increased during the pandemic for both men and women in all age groups by an average of 1 h, an increase of 9%. Changes in water use behavior increased almost in proportion to the increase in time spent at home, except for the frequency of defecation, which was limited to once a day. The amount of time spent in the washroom increased by 13%, an increase of more than 1.4 times the increase in the amount of time spent at home. The additional 40% increase could be considered an effect of the awareness of disease prevention. The coronavirus pandemic is expected to end in the near future. In Japan, the pandemic has led to a strong push for the reform of work styles. Therefore, even in a post-coronavirus-pandemic society, changes in work styles may normalize the increased time spent at home and the proportional increase in water use. However, because the change in water use behavior caused by quarantine awareness is a result of the fear of coronavirus infection, it is possible that water use will gradually return to pre-pandemic levels once the source of the fear is removed. To reflect the changes in water use behavior in the design of facilities in the post-coronavirus-pandemic society, it is necessary to continue this survey even once the pandemic has ended.

Heterogeneity and Temporal Stability of Residential Water Use Responsiveness to Price Change

Many papers estimate the price elasticity of water demand. However, heterogeneity and temporal variation of price elasticity of residential water use are still unclear. We analyze these issues by applying the latent class analysis and t-test using disaggregated data of approximately 30,000 households recorded over five years: Two years before and three years after a tariff revision. As a result, the households are divided into three (heterogeneous) groups: About 5% of them responded to the price change sensitively, 40–60% slightly, and 35–55% not at all. Households with high water use prior to the revision had higher price elasticity. In addition, the price elasticity in the first and third years after the revision was the same.

Florida H2OSAV Insights: Home Water Use in Orange County

This fact sheet provides current, basic information about residential water use in Orange County. Written by Nick Taylor, Kaitlin Olander Robb Price, Bradley Spatz, Parker Johnson, and Pierce Jones, and published by the UF/IFAS Department of Agricultural and Biological Engineering, June 2021.

Advancing open source cyberinfrastructure for collecting, processing, storing and accessing high temporal resolution residential water use data

<p>Collecting and managing high temporal resolution (< 1 minute) residential water use data is challenging due to cost and technical requirements associated with the volume and velocity of data collected. It is well known that this type of data has potential to expand our knowledge of residential water use, inform future water use predictions, and improve water conservation strategies. However, most studies collecting this type of data have been focused on the practical application of the data (e.g., developing and applying end use disaggregation algorithms) with much less focus on how the data were collected, retrieved, quality controlled, and managed to enable data visualization and analysis. We developed an open-source, modular, generalized cyberinfrastructure system to automate the process from data collection to analysis. The system has three main architectural components: first, the sensors and dataloggers for water use monitoring; second, the data communication, parsing and archival tools; and third, the analyses, visualization and presentations of data produced for different audiences. For the first component, we present a low-cost datalogging device, designed for installation on top of existing, analog, magnetically driven, positive displacement, residential water meters that can collect data at a user configurable time resolution interval. The second component consists of a system developed using existing open-source software technologies that manages the data collected, including services and databasing. The final element includes software tools for retrieving the data that can be integrated with advanced data analytics tools. The system was used in a single family residential water use data collection case study to test the scalability and performance of its functionalities within our design constraints. Testing with a base system configuration, our results show that the system requires approximately six minutes to process a single day of data collected at a four second temporal resolution for 500 properties. Thus, the system proved to be effective beyond the typical number of participants observed in similar studies of residential water use and would scale well beyond this even with the modest system resources we used for testing. All elements of the cyberinfrastructure developed are freely available in open source repositories for re-use.</p>