[HTML][HTML] Uncovering urban water consumption patterns through time series clustering and entropy analysis

R Wang, X Zhao, H Qiu, X Cheng, X Liu - Water Research, 2024 - Elsevier
Sustainable urban water management is crucial for meeting the growing demands of urban
populations. This study presents a novel approach that combines time series clustering …

Tuning ANN hyperparameters by CPSOCGSA, MPA, and SMA for short-term SPI drought forecasting

MA Alawsi, SL Zubaidi, N Al-Ansari, H Al-Bugharbee… - Atmosphere, 2022 - mdpi.com
Modelling drought is vital to water resources management, particularly in arid areas, to
reduce its effects. Drought severity and frequency are significantly influenced by climate …

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network‐Based Marine Predators Algorithm

SJ Mohammed, SL Zubaidi, N Al-Ansari… - Advances in Civil …, 2022 - Wiley Online Library
Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal
fluctuations in climatic factors and complex physical processes. This paper proposes a novel …

Urban water resources management with energy constraint and carbon emission intensity under uncertainty: A dual objective optimization model

S Zhang, Y Xie, Y Jiang, Z Luo, L Ji, Y Cai - Journal of Cleaner Production, 2024 - Elsevier
Water production, utilization and recycle in urban system associated with a large amount of
energy consumption and carbon emission that has increasingly international attention under …

Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting

HE Khairan, SL Zubaidi, M Al-Mukhtar, A Dulaimi… - Sustainability, 2023 - mdpi.com
Evapotranspiration (ETo) is one of the most important processes in the hydrologic cycle, with
specific application to sustainable water resource management. As such, this study aims to …

Assessing the benefits of nature-inspired algorithms for the parameterization of ANN in the prediction of water demand

SL Zubaidi, NSS Al-Bdairi… - Journal of Water …, 2023 - ascelibrary.org
Accurate forecasting techniques for a stochastic pattern of water demand are essential for
any city that faces high variability in climate factors and a shortage of water resources. This …

[HTML][HTML] The sanitary sewer unit hydrograph model: A comprehensive tool for wastewater flow modeling and inflow-infiltration simulations

G Perez, JD Gomez-Velez, SB Grant - Water Research, 2024 - Elsevier
Sanitary sewer systems are critical urban water infrastructure that protect both human and
environmental health. Their design, operation, and monitoring require novel modeling …

Forecasting urban water demand using different hybrid-based metaheuristic algorithms' inspire for extracting artificial neural network hyperparameters

SL Zubaidi, H Al-Bugharbee, AW Alattabi, HM Ridha… - Scientific Reports, 2024 - nature.com
This research offers a novel methodology for quantifying water needs by assessing weather
variables, applying a combination of data preprocessing approaches, and an artificial neural …

Assessment of drinking water treatment and disinfection by-products Dessalegn Geleta Ebsa a,*, Wakjira Takala Dibaba b

DG Ebsa, WT Dibaba - South African Journal of Chemical …, 2022 - journals.co.za
Water treatment plants and disinfection by-products are a worldwide problem in the
provision of drinking water with disinfectants. However, in countries like Ethiopia, studies on …

Examination of Single-and Hybrid-Based Metaheuristic Algorithms in ANN Reference Evapotranspiration Estimating

HE Khairan, SL Zubaidi, SF Raza, M Hameed… - Sustainability, 2023 - mdpi.com
Hydrological resource management, including crop watering and irrigation scheduling,
relies on reliable estimates of reference evapotranspiration (ETo). However, previous …