Integrated Bayesian Network and Strongest Path Method (BN-SPM) for effective multi-hazard risk assessment of interconnected infrastructure systems

S Bakhtiari, MR Najafi, K Goda… - Sustainable Cities and …, 2024 - Elsevier
This study proposes an integrated framework based on Bayesian Network (BN) and
Strongest Path Method (SPM) to provide a robust assessment of the natural hazard risks to …

Enhancing hydrological data completeness: A performance evaluation of various machine learning techniques using probabilistic fusion imputer with neural networks …

GRA Nair, S Adarsh, A El-Shafie, AN Ahmed - Journal of Hydrology, 2024 - Elsevier
The present-day accessibility of streamflow data, particularly in the developing countries, is
often marked by a multitude of data shortfalls or distortions. This study investigates the …

A hybrid suitability mapping model integrating GIS, machine learning, and multi-criteria decision analytics for optimizing service quality of electric vehicle charging …

A Elomiya, J Křupka, S Jovčić, V Simic… - Sustainable Cities and …, 2024 - Elsevier
Electric vehicles are emerging as sustainable transportation solutions worldwide.
Inadequate electric vehicle charging stations (EVCS) hinder their broader adoption. Optimal …

[HTML][HTML] Challenge to Lake Ecosystems: Changes in Thermal Structure Triggered by Climate Change

Y Zhang, J Shen, L He, J Feng, L Chi, X Wang - Water, 2024 - mdpi.com
Human activities, global warming, frequent extreme weather events, and changes in
atmospheric composition affect the solar radiation reaching the Earth's surface, affect mass …

[HTML][HTML] Spatiotemporal pattern of successive hydro-hazards and the influence of low-frequency variability modes over Canada

M RahimiMovaghar, M Fereshtehpour, MR Najafi - Journal of Hydrology, 2024 - Elsevier
Successive hydro-hazards, particularly dry and wet weather whiplash, can severely impact
societies and infrastructure undermining the resilience measures developed based on the …

[HTML][HTML] Compound Extremes of Droughts and Pluvials: A Review and Exploration of Spatio-Temporal Characteristics and Associated Risks in the Canadian Prairies

E Wheaton, B Bonsal, D Sauchyn - Water, 2023 - mdpi.com
The Canadian Prairies are associated with high natural hydroclimatic variability including
the frequent periodic occurrence of droughts and pluvials. These extremes carry various …

[HTML][HTML] Multivariate Analysis of Compound Hail, Wind and Rainfall Extremes in Alberta's Hail Alley

I Mohamed, MR Najafi, P Joe, J Brimelow - Weather and Climate Extremes, 2024 - Elsevier
Hailstorms are severe weather events with the potential for devastating impacts. The
consequences can be significantly worsened when hail events are accompanied by strong …

The role of large reservoirs in drought and flood disaster risk mitigation: A case of the Yellow River Basin

J Feng, T Qin, D Yan, X Lv, D Yan, X Zhang… - Science of the total …, 2024 - Elsevier
The acceleration of water cycle processes in the context of global warming will exacerbate
the frequency and intensity of extreme events and predispose to drought and flood disasters …

Decomposition of exotic versus native aquatic plant litter in a lake littoral zone: Stoichiometry and life form analyses

Q Wang, H Zhang, Z Yan, J Wang, H Yu, D Yu… - Science of The Total …, 2024 - Elsevier
The decomposition rates and stoichiometric characteristics of many aquatic plants remain
unclear, and our understanding of material flow and nutrient cycles within freshwater …

[HTML][HTML] Rising risks of hydroclimatic swings: A large ensemble study of dry and wet spell transitions in North America

W Na, MR Najafi - Global and Planetary Change, 2024 - Elsevier
Hydroclimatic swings between dry and wet spells are increasing globally, raising concerns
due to their severe impacts on society, agriculture, infrastructure systems, and water …