[HTML][HTML] Digitalization and real-time control to mitigate environmental impacts along rivers: Focus on artificial barriers, hydropower systems and European priorities

E Quaranta, MD Bejarano, C Comoglio… - Science of the Total …, 2023 - Elsevier
Hydropower globally represents the main source of renewable energy, and provides several
benefits, eg, water storage and flexibility; on the other hand, it may cause significant impacts …

[HTML][HTML] Environmental optimization of warm mix asphalt (WMA) design with recycled concrete aggregates (RCA) inclusion through artificial intelligence (AI) …

R Polo-Mendoza, G Martinez-Arguelles… - Results in …, 2023 - Elsevier
Abstract Warm Mix Asphalts (WMAs) are asphalt concretes produced at lower temperatures
than traditional Hot Mix Asphalts (HMAs). Nonetheless, the above is not enough to diminish …

[HTML][HTML] Intelligent learning algorithms integrated with feature engineering for sustainable groundwater salinization modelling: Eastern Province of Saudi Arabia

MA Yassin, AG Usman, SI Abba, DU Ozsahin… - Results in …, 2023 - Elsevier
Groundwater (GW) salinization refers to the natural or human-induced process of GW
acquiring a higher level of salt content. While geological factors or proximity to the ocean …

Identifying and evaluating the essential factors affecting the incidence of site accidents caused by human errors in industrial parks construction projects

A Rafieyan, H Sarvari, DWM Chan - International journal of environmental …, 2022 - mdpi.com
In terms of safety management, the implementation of industrial parks construction projects
(IPCPs) is incredibly challenging due to the special working conditions and the specific type …

[HTML][HTML] Mutual validation of remote hydraulic estimates and flow model simulations using UAV-borne LiDAR and deep learning-based imaging techniques

MT Islam, K Yoshida, S Nishiyama, K Sakai - Results in Engineering, 2023 - Elsevier
Hydraulic modeling plays a pivotal role in various river-related applications, but acquiring
precise datasets can be challenging due to complex environments and limited availability of …

Determining the effective factors leading to incidence of human error accidents in industrial parks construction projects: Results of a fuzzy Delphi survey

A Rafieyan, H Sarvari, M Beer… - International Journal of …, 2024 - Taylor & Francis
The implementation of construction projects is always associated with several incidents for
various reasons. Previous research studies advocated that human errors are one of the …

[HTML][HTML] A comparative study of different optimization algorithms for the optimum operation of the Mahabad dam reservoir

H Feizi, MT Sattari, H Apaydin - Results in Engineering, 2024 - Elsevier
In this study, the performance of the Differential Evolution (DE) Algorithm, the Genetic
Algorithm (GA) and Teaching-Learning Based Optimization (TLBO) Algorithm are compared …

Development of a model for sediment evacuation from reservoirs

F Afzalsoltani, J Yazdi - Environmental Processes, 2023 - Springer
Among surface water sources, reservoirs of dams, especially in arid and semi-arid regions of
the world, have always faced the problem of sedimentation and storage capacity reduction …

Monthly Agricultural Reservoir Storage Forecasting Using Machine Learning

SJ Kim, SJ Bae, SJ Lee, MW Jang - Atmosphere, 2022 - mdpi.com
Storage rate forecasting for the agricultural reservoir is helpful for preemptive responses to
disasters such as agricultural drought and planning so as to maintain a stable agricultural …

[HTML][HTML] Monitoring the Area Change in the Three Gorges Reservoir Riparian Zone Based on Genetic Algorithm Optimized Machine Learning Algorithms and Sentinel …

B Xu, W Wu, H Ye, X Li, H Liu - Remote Sensing, 2023 - mdpi.com
Riparian zones play a critical role in ecosystems. Accurately extracting the area of a riparian
zone in open water is challenging due to human activities and climate change. This study …