scholarly journals Estimating the impact of climate change on residential water use using panel data analysis: a case study of Lilongwe, Malawi

2017 ◽  
Vol 8 (2) ◽  
pp. 217-226 ◽  
Author(s):  
Chikondi Makwiza ◽  
Musandji Fuamba ◽  
Fadoua Houssa ◽  
Heinz Erasmus Jacobs
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Water Conservation ◽  
Linear Models ◽  
Panel Data Analysis ◽  
Empirical Relationship ◽  
Residential Water Use ◽  
The Impact ◽  
Residential Water ◽  
Emissions Scenario

Abstract In this study, panel linear models were used to develop an empirical relationship between metered household water use and the independent variables plot size and theoretical irrigation requirement. The estimated statistical model provides a means of estimating the climate-sensitive component of residential water use. Ensemble averages of temperature and rainfall projections were used to quantify potential changes in water use due to climate change by 2050. Annual water use per household was estimated to increase by approximately 1.5% under the low emissions scenario or 2.3% under the high emissions scenario. The model results provide information that can enhance water conservation initiatives relating particularly to outdoor water use. The model approach presented utilizes data that are readily available to water supply utilities and can therefore be easily replicated elsewhere.

The implications of climate change on residential water use: a micro-scale analysis of Portland (OR), USA

2012 ◽  
Vol 3 (3) ◽  
pp. 225-238 ◽  
Author(s):  
Vivek Shandas ◽  
Meenakshi Rao ◽  
Moriah McSharry McGrath
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Environmental Sustainability ◽  
Water Conservation ◽  
Urban Areas ◽  
Future Climate ◽  
Metropolitan Region ◽  
Study Region ◽  
Residential Water Use ◽  
Residential Water

Social and behavioral research is crucial for securing environmental sustainability and improving human living environments. Although the majority of people now live in urban areas, we have limited empirical evidence of the anticipated behavioral response to climate change. Using empirical data on daily household residential water use and temperature, our research examines the implications of future climate conditions on water conservation behavior in 501 households within the Portland (OR) metropolitan region. We ask whether and how much change in ambient temperatures impact residential household water use, while controlling for taxlot characteristics. Based on our results, we develop a spatially explicit description about the changes in future water use for the study region using a downscaled future climate scenario. The results suggest that behavioral responses are mediated by an interaction of household structural attributes, and magnitude and temporal variability of weather parameters. These findings have implications for the way natural resource managers and planning bureaus prepare for and adapt to future consequences of climate change.

scholarly journals Advances in the Economic Analysis of Residential Water Use: An Introduction

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1162 ◽  
Author(s):  
Arnaud Reynaud ◽  
Giulia Romano
Keyword(s):  
Water Use ◽  
Water Conservation ◽  
Water Demand ◽  
Water Price ◽  
Special Issue ◽  
Residential Water Demand ◽  
Residential Water Use ◽  
Household Water ◽  
The Impact ◽  
Residential Water

The aim of this Special Issue is to gather evidence on the impact of price policies (PP) and non-price policies (NPP) in shaping residential water use in a context of increased water scarcity. Indeed, a large body of the empirical economic literature on residential water demand has been devoted to measuring the impact of PP (water price increases, use of block rate pricing or peak pricing, etc.). The consensus is that the residential water demand is inelastic with respect to water price, but not perfectly. Given the low water price elasticity, pricing schemes may not always be effective tools for modifying household water behaviors. This is puzzling since increasing the water price is still viewed by public authorities as the most direct economic tool for inducing water conservation behaviors. Additional evidence regarding the use of PP in shaping residential water use is then required. More recently, it has been argued that residential consumers may react to NPP, such as water conservation programs, education campaigns, or smart metering. NPP are based on the idea that residential water users can implement strategies that will result in water savings via changing their individual behaviors. Feedback information based on smart water metering is an example of approach used by some water utilities. There are still large gaps in the knowledge on the residential water demand, and in particular on the impact of PP and NPP on residential water use, household water affordability and water service performance. These topics are addressed in this Special Issue “Advances in the Economic Analysis of Residential Water Use”.

scholarly journals Nondiscretionary residential water use: the impact of habits and water-efficient technologies

2013 ◽  
Vol 58 (2) ◽  
pp. 185-204 ◽  
Author(s):  
Maria A. Garcia-Valiñas ◽  
Wasantha Athukorala ◽  
Clevo Wilson ◽  
Benno Torgler ◽  
Robert Gifford
Keyword(s):  
Water Use ◽  
Residential Water Use ◽  
The Impact ◽  
Residential Water

The impact of large temporary rate changes on residential water use

1975 ◽  
Vol 11 (6) ◽  
pp. 791-794 ◽  
Author(s):  
Thomas F. Hogarty ◽  
Robert J. Mackay
Keyword(s):  
Water Use ◽  
Residential Water Use ◽  
The Impact ◽  
Residential Water

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

2021 ◽  
Author(s):  
Camilo J. Bastidas Pacheco ◽  
Jeffery S. Horsburgh ◽  
Joseph C. Brewer ◽  
Robb J. Tracy ◽  
Juan Caraballo
Keyword(s):  
Data Collection ◽  
Open Source ◽  
Water Use ◽  
Temporal Resolution ◽  
Water Conservation ◽  
High Temporal Resolution ◽  
Base System ◽  
Technical Requirements ◽  
Residential Water Use ◽  
Residential Water

<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>

Assessing the impact of property size on residential water use for selected neighbourhoods in Lilongwe, Malawi

2016 ◽  
Vol 6 (2) ◽  
pp. 242-251 ◽  
Author(s):  
Chikondi Makwiza ◽  
Heinz Erasmus Jacobs
Keyword(s):  
Water Use ◽  
Urban Housing ◽  
Considerable Proportion ◽  
Urban Water ◽  
Plot Size ◽  
Residential Water Use ◽  
Residential Properties ◽  
The Impact ◽  
The City ◽  
Residential Water

Malawi has one of the highest urbanisation rates in Africa, with an urban housing approach that favours large residential plot sizes. The impact of plot size on residential water use was evaluated by examining water use records, obtained for the period between January 2009 and December 2014, for formal residential properties in the city of Lilongwe. Water use increased with plot size in line with other reported research, but the dataset contained a considerable proportion of large plots, which were also associated with higher residential water use than presented in similar studies. The findings of this study point to the need for collaboration between water managers and urban planners to promote increased access of urban water supplies by appropriately managing future residential plot sizes.

scholarly journals Do Conservation Policies Work? Evidence from Residential Water Use

2021 ◽  
Vol 2 ◽  
pp. 190-225
Author(s):  
Oliver R. Browne ◽  
Ludovica Gazze ◽  
Michael Greenstone
Keyword(s):  
Water Use ◽  
Conservation Policies ◽  
Residential Water Use ◽  
Residential Water
Sign in / Sign up

Export Citation Format

Share Document