Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Forecast of urban water consumption under the impact of climate change

Bibliographic Data

ID21229538
AuthorsNiousha Rasifaghihi (Concordia University), S S Li (0009-0008-0697-905X, Concordia University, corresponding author), Fariborz Haghighat (0000-0003-2869-7308, Concordia University)
Year2020
Volume52
Pages101848
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2019.101848
OpenAlexW2974234787
LanguageEN
Citations received9
References cited36

Bayesian probability · Climate change · Climatology · Econometrics · Geography · Linear regression · Meteorology · Precipitation · Regression analysis · Statistics · Water supply · Environmental Science · Hydrology and Drought Analysis · Mathematics · Water resources management and optimization · Water-Energy-Food Nexus Studies · Environmental Engineering

  • My Parents Taught…Green Was My Growth! The Role of Intergenerational Transmission of Ecological Values in Young Adults’ Pro-Environmental Behaviors and Their Psychosocial Mechanisms

    Open Access•Massimiliano Scopelliti, Daniela Barni et al.•International Journal of…•2022

  • Spatial, infrastructural and consumer characteristics underlying spatial variability in residential energy and water consumption in Amsterdam

    Open Access•Ilse Voskamp, Megan N Visscher et al.•Sustainable Cities and Society•2021

  • The analysis of financially sustainable management strategies of urban water distribution network under increasing block tariff structure

    Open Access•Amir Salimi Babamiri, Mir Saman Pishvaee et al.•Sustainable Cities and Society•2020

  • Forecasting municipal water demands

    Open Access•Hanyu Liu, Rui Xing et al.•Sustainable Cities and Society•2025

  • Reliable multi-horizon water demand forecasting model

    Open Access•Ke Wang, Xiang Xie et al.•Sustainable Cities and Society•2024

  • Short term water demand forecast modelling using artificial intelligence for smart water management

    Open Access•M Kavya, Aneesh Mathew et al.•Sustainable Cities and Society•2023

  • Climate changes impact on stormwater infrastructure design in Tucson Arizona

    Open Access•Erfan Ghasemi Tousi, William O’brien et al.•Sustainable Cities and Society•2021

  • A dual-feature channel deep network with adaptive variable weight reconstruction for urban water demand prediction

    Open Access•Sibo Xia, Hongqiu Zhu et al.•Sustainable Cities and Society•2025

  • Deep seawater cooling and desalination

    Open Access•Julian David Hunt, Natália de Assis Brasil Weber et al.•Sustainable Cities and Society•2021

  • The RCP greenhouse gas concentrations and their extensions from 1765 to 2300

    Open Access•Malte Meinshausen, Steven J Smith et al.•Climatic Change•2011

  • Bayesian Model Averaging for Linear Regression Models

    Adrian E Raftery, David Madigan et al.•Journal of the American…•1997

  • Large Bayesian vector auto regressions

    Open Access•Marta Bańbura, Domenico Giannone et al.•Journal of Applied Econometrics•2010

  • Estimates of the Regression Coefficient Based on Kendall's Tau

    Pranab Kumar Sen•Journal of the American…•1968

  • Rcp4.5

    Open Access•Allison M Thomson, Katherine Calvin et al.•Climatic Change•2011

  • RCP 8.5—A scenario of comparatively high greenhouse gas emissions

    Open Access•Keywan Riahi, Shilpa Rao et al.•Climatic Change•2011

  • A new multiple regression model for predictions of urban water use

    Open Access•S Alireza Eslamian, Sayed-Saeid Eslamian et al.•Sustainable Cities and Society•2016

Unique citing works9
Citations per year1.5
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae