Nickel (Ni) phytotoxicity and detoxification mechanisms: A review
A Mustafa, U Zulfiqar, MZ Mumtaz, M Radziemska… - Chemosphere, 2023 - Elsevier
Scientists studying the environment, physiology, and biology have been particularly
interested in nickel (Ni) because of its dual effects (essentiality and toxicity) on terrestrial …
interested in nickel (Ni) because of its dual effects (essentiality and toxicity) on terrestrial …
Nickel in terrestrial biota: Comprehensive review on contamination, toxicity, tolerance and its remediation approaches
Nickel (Ni) has been a subject of interest for environmental, physiological, biological
scientists due to its dual effect (toxicity and essentiality) in terrestrial biota. In general, the …
scientists due to its dual effect (toxicity and essentiality) in terrestrial biota. In general, the …
[HTML][HTML] Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
Suspended sediment load (SSL) estimation is a required exercise in water resource
management. This article proposes the use of hybrid artificial neural network (ANN) models …
management. This article proposes the use of hybrid artificial neural network (ANN) models …
[HTML][HTML] Artificial intelligence for suspended sediment load prediction: a review
The estimation of sediment yield concentration is crucial for the development of stream
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
Long term trend analysis and suitability of water quality of River Ganga at Himalayan hills of Uttarakhand, India
River Ganga flows in the northern part of India and is treated as sacred water resource. The
river receive huge amount of partially treated and untreated waste from industrial …
river receive huge amount of partially treated and untreated waste from industrial …
Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
High loads of suspended sediments in rivers are known to cause detrimental effects to
potable water sources, river water quality, irrigation activities, and dam or reservoir …
potable water sources, river water quality, irrigation activities, and dam or reservoir …
[PDF][PDF] Evaluation of physicochemical and heavy metals characteristics in surface water under anthropogenic activities using multivariate statistical methods, Garra …
MYA Khan, J Wen - Environmental Engineering Research, 2021 - eeer.org
Water samples from twenty-six locations were collected during March 2014, to evaluate the
spatial variation in the water quality of Garra River, Ganges Basin. The physicochemical and …
spatial variation in the water quality of Garra River, Ganges Basin. The physicochemical and …
[HTML][HTML] Application of hybrid machine learning-based ensemble techniques for rainfall-runoff modeling
G Gelete - Earth Science Informatics, 2023 - Springer
The main aim of this study was to develop hybrid machine learning (ML)-based ensemble
modeling of the rainfall-runoff process in the Katar catchment, Ethiopia. This study used four …
modeling of the rainfall-runoff process in the Katar catchment, Ethiopia. This study used four …
Predictability performance enhancement for suspended sediment in rivers: Inspection of newly developed hybrid adaptive neuro-fuzzy system model
Reliable modeling of river sediments transport is important as it is a defining factor of the
economic viability of dams, the durability of hydroelectric-equipment, river susceptibility to …
economic viability of dams, the durability of hydroelectric-equipment, river susceptibility to …
Monitoring the spatio-temporal impact of small tributaries on the hydrochemical characteristics of Ramganga River, Ganges Basin, India
Surface waters are one of the most easily pollutable natural resources because of their high
mobility and universal solvent nature. One of the most severe environmental problems is the …
mobility and universal solvent nature. One of the most severe environmental problems is the …