The Impact of Urban Water Use on Energy Consumption and Climate Change: A Case Study of Household Water Use in Beijing

2013 ◽  
pp. 169-197 ◽  
Author(s):  
Yuan-sheng Chen ◽  
Lu Li ◽  
Lei Jiang ◽  
Caitlin Grady ◽  
Xin-hui Li
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Water Use ◽  
Urban Water ◽  
Household Water ◽  
Urban Water Use ◽  
The Impact

scholarly journals Assessing the Impacts of Urban Water-Use Restrictions at the District Level: Case Study of California’s Drought Mandate

2020 ◽  
Vol 146 (5) ◽  
pp. 05020004
Author(s):  
María Pérez-Urdiales ◽  
Kenneth A. Baerenklau
Keyword(s):  
Water Use ◽  
District Level ◽  
Urban Water ◽  
Urban Water Use

An integrated approach to public’s perception of urban water use and ownership of water companies during a period of economic crisis. Case study in Athens, Greece

2019 ◽  
Vol 16 (5) ◽  
pp. 334-342 ◽  
Author(s):  
Efi Drimili ◽  
Zoi Gareiou ◽  
Antigoni Vranna ◽  
Stavros Poulopoulos ◽  
Efthimios Zervas
Keyword(s):  
Economic Crisis ◽  
Water Use ◽  
Integrated Approach ◽  
Urban Water ◽  
Urban Water Use ◽  
Water Companies

scholarly journals Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America

2021 ◽  
Vol 9 ◽  
Author(s):  
Joseph Janssen ◽  
Valentina Radić ◽  
Ali Ameli
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Water Demand ◽  
Supply And Demand ◽  
Deep South ◽  
Urban Water ◽  
Water Shortages ◽  
Municipal Water ◽  
Urban Water Use ◽  
Projected Changes

While anthropogenic climate change poses a risk to freshwater resources across the globe through increases in evapotranspiration and temperature, it is essential to quantify the risks at local scales in response to projected trends in both freshwater supply and demand. In this study, we use empirical modeling to estimate the risks of municipal water shortages across North America by assessing the effects of climate change on streamflow and urban water demand. In addition, we aim to quantify uncertainties in both supply and demand predictions. Using streamflow data from both the US and Canada, we first cluster 4,290 streamflow gauges based on hydrograph similarity and geographical location. We develop a set of multiple linear regression (MLR) models, as a simplified analog to a distributed hydrological model, with minimum input data requirements. These MLR models are calibrated to simulate streamflow for the 1993–2012 period using the ERA5 climate reanalysis data. The models are then used to predict streamflow for the 2080–2099 period in response to two climate scenarios (RCP4.5 and RCP8.5) from five global climate models. Another set of MLR models are constructed to project seasonal changes in municipal water consumption for the clustered domains. The models are calibrated against collected data on urban water use from 47 cities across the study region. For both streamflow and water use, we quantified uncertainties in our predictions using stochastic weather generators and Monte Carlo methods. Our study shows the strong predictive power of the MLR models for simulating both streamflow regimes (Kling-Gupta efficiency >0.5) and urban water use (correlation coefficient ≈0.7) in most regions. Under the RCP4.5 (RCP8.5) emissions scenario, the West Coast, the Southwest, and the Deep South (South-Central US and the Deep South) have the highest risk of municipal water shortages. Across the whole domain, the risk is the highest in the summer season when demand is high. We find that the uncertainty in projected changes to the water demand is substantially lower than the uncertainty in the projected changes to the supply. Regions with the highest risk of water shortages should begin to investigate mitigation and adaptation strategies.

scholarly journals Tradable water saving certificates to improve urban water use efficiency: an ex-ante evaluation in a French case study

2015 ◽  
Vol 60 (3) ◽  
pp. 422-441 ◽  
Author(s):  
Jean-Daniel Rinaudo ◽  
Javier Calatrava ◽  
Marine Vernier De Byans
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Saving ◽  
Urban Water ◽  
Ex Ante ◽  
French Case ◽  
Urban Water Use ◽  
Use Efficiency

The Impact of Investment on Climate Change: The Case Study of Cambodia

2015 ◽  
Author(s):  
Phon Sophat
Keyword(s):  
Climate Change ◽  
The Impact

scholarly journals Stay-at-Home Orders during the COVID-19 Pandemic Reduced Urban Water Use

2021 ◽  
Author(s):  
Dongyue Li ◽  
Ruth A. Engel ◽  
Xiaoyu Ma ◽  
Erik Porse ◽  
Jonathan D. Kaplan ◽  
...  
Keyword(s):  
Water Use ◽  
Urban Water ◽  
Urban Water Use ◽  
At Home

Heat-related mortality under climate change and the impact of adaptation through air conditioning: A case study from Thessaloniki, Greece

2021 ◽  
pp. 111285
Author(s):  
Panayiotis Kouis ◽  
Kyriaki Psistaki ◽  
George Yiallouros ◽  
Antonis Michanikou ◽  
Maria G. Kakkoura ◽  
...  
Keyword(s):  
Climate Change ◽  
Air Conditioning ◽  
The Impact ◽  
Related Mortality

scholarly journals The Impact Assessment of Climate Change on Building Energy Consumption in Poland

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4084
Author(s):  
Hassan Bazazzadeh ◽  
Peiman Pilechiha ◽  
Adam Nadolny ◽  
Mohammadjavad Mahdavinejad ◽  
Seyedeh sara Hashemi safaei
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Thermal Load ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Building Sector ◽  
Energy Demands ◽  
Heating Load ◽  
The Impact ◽  
The City

A substantial share of the building sector in global energy demand has attracted scholars to focus on the energy efficiency of the building sector. The building’s energy consumption has been projected to increase due to mass urbanization, high living comfort standards, and, more importantly, climate change. While climate change has potential impacts on the rate of energy consumption in buildings, several studies have shown that these impacts differ from one region to another. In response, this paper aimed to investigate the impact of climate change on the heating and cooling energy demands of buildings as influential variables in building energy consumption in the city of Poznan, Poland. In this sense, through the statistical downscaling method and considering the most recent Typical Meteorological Year (2004–2018) as the baseline, the future weather data for 2050 and 2080 of the city of Poznan were produced according to the HadCM3 and A2 GHG scenario. These generated files were then used to simulate the energy demands in 16 building prototypes of the ASHRAE 90.1 standard. The results indicate an average increase in cooling load and a decrease in heating load at 135% and 40% , respectively, by 2080. Due to the higher share of heating load, the total thermal load of the buildings decreased within the study period. Therefore, while the total thermal load is currently under the decrease, to avoid its rise in the future, serious measures should be taken to control the increased cooling demand and, consequently, thermal load and GHG emissions.

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