Evaluation of river water quality index using remote sensing and artificial intelligence models

M Najafzadeh, S Basirian - Remote Sensing, 2023 - mdpi.com
To restrict the entry of polluting components into water bodies, particularly rivers, it is critical
to undertake timely monitoring and make rapid choices. Traditional techniques of assessing …

[HTML][HTML] A comprehensive review of the research on local scour below subsea pipelines under steady currents and waves

M Zhao - Ocean Engineering, 2025 - Elsevier
This paper presents a comprehensive review of studies of local scour below subsea
pipelines. The review covers a variety of topics including onset of scour, scour depth, scour …

Experimental investigation and application of soft computing models for predicting flow energy loss in arc-shaped constrictions

H Abbaszadeh, R Daneshfaraz, V Sume… - AQUA—Water …, 2024 - iwaponline.com
This investigation focuses on flow energy, a crucial parameter in the design of water
structures such as channels. The research endeavors to explore the relative energy loss (Δ …

[HTML][HTML] Sacrificial piles as a countermeasure against local scour around underwater pipelines

F Raeisi, SMA Zomorodian, M Zolghadr… - Water Science and …, 2024 - Elsevier
Local scour around pipelines crossing rivers or in marine environments is a significant
concern. It can lead to failure of the pipelines resulting in environmental side effects and …

Comparative Study on International Research Hotspots and National-Level Policy Keywords of Dynamic Disaster Monitoring and Early Warning in China (2000–2021)

J Gao, W Zhang, C Yang, R Wang, S Shao, J Li… - International journal of …, 2022 - mdpi.com
For more than 20 years, disaster dynamic monitoring and early warning have achieved
orderly and sustainable development in China, forming a systematic academic research …

[HTML][HTML] Study on the Erosion Damage Law in Mountain Flood Disasters Regarding the Exposed Section of Oil Pipelines

X **g, J Mao, J Ou, X Liu, Y Zhang, D Chen - Water, 2025 - mdpi.com
Oil pipelines are susceptible to significant hydraulic erosion from mountain torrents during
the flood season when passing through the mountain valley area, which can lead to soil …

Study of the Performance of Deep Learning Methods Used to Predict Tidal Current Movement

K Zhang, X Wang, H Wu, X Zhang, Y Fang… - Journal of Marine …, 2022 - mdpi.com
To predict tidal current movement accurately is essential in the process of tidal energy
development. However, the existing methods have limits to meet the need for accuracy …

Evaluating machine learning models in predicting GRI drought indicators (case study: Ajabshir area)

M Faramarzpour, A Saremi, A Khosrojerdi… - Applied Water …, 2024 - Springer
Examining the condition of groundwater resources and the impact of droughts is valuable for
effective water resources management. Today, machine learning (ML) models are …

Application of a hybrid ANFIS with metaheuristic algorithms to estimate the aeration design parameters

M Hekmat, H Sarkardeh, E Jabbari, M Samadi - Water Supply, 2023 - iwaponline.com
Cavitation is a common and complex hydraulic phenomenon on the chute spillways and
may cause damage to the structure. Aeration in the water flow is one of the best ways to …

[PDF][PDF] corrected Proof

H Abbaszadeh, R Daneshfaraz, V Sume, J Abraham - 2024 - researchgate.net
This investigation focuses on flow energy, a crucial parameter in the design of water
structures such as channels. The research endeavors to explore the relative energy loss …