Results 31 to 40 of about 906,093 (293)

Using SeaWiFS and In Situ Data for HAB Prediction in the Northern Gulf of Mexico: Decision Tree Analysis [PDF]

open access: yes, 2009
To date, 13 potential HAB species have been detected in coastal waters of Mississippi and Alabama, including representatives of the diatom genera Pseudo-nitzschia and Chaetoceros, and dinoflagellate genera Karenia, Gonyaulax, Akashiwo, Karlodinium, and ...
Dan Holiday, Greg Carter
core   +2 more sources

Research on Watershed Water Quality Classification Prediction Based on WOA-CNN-GRU Model [PDF]

open access: yesE3S Web of Conferences
River water quality monitoring plays a crucial role in water environment protection and management. This paper aims to explore and innovatively propose an efficient and accurate water quality classification prediction model WOA-CNN-GRU composite model ...
Wu Minning, Blancaflor Eric B.
doaj   +1 more source

Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

open access: yesComplexity, 2020
The process of predicting water quality over a catchment area is complex due to the inherently nonlinear interactions between the water quality parameters and their temporal and spatial variability.
Yashon O. Ouma   +2 more
doaj   +1 more source

Spatial assessment of Langat river water quality using chemometrics [PDF]

open access: yes, 2010
The present study deals with the assessment of Langat River water quality with some chemometrics approaches such as cluster and discriminant analysis coupled with an artificial neural network (ANN).
Aris, Ahmad Zaharin   +4 more
core   +1 more source

WaQuPs: A ROS-Integrated Ensemble Learning Model for Precise Water Quality Prediction

open access: yesApplied Sciences, 2023
Water presents challenges in swiftly and accurately assessing its quality due to its intricate composition, diverse sources, and the emergence of new pollutants.
Firna Firdiani   +3 more
doaj   +1 more source

Water temperature modeling in the Garonne River (France) [PDF]

open access: yes, 2010
Stream water temperature is one of the most important parameters for water quality and ecosystem studies. Temperature can influence many chemical and biological processes and therefore impacts on the living conditions and distribution of aquatic ...
Croze, Olivier   +3 more
core   +3 more sources

Microbial dynamics and human health risks at the beach – Will climate change matter? [PDF]

open access: yes, 2019
Beaches provide recreational opportunities, relief from hot weather, and economic benefits to coastal communities. Visitors to the beach may be exposed to microbial contaminants and pathogens via water, sand, and aerosols.
Brandão, João   +2 more
core   +1 more source

Prediction of Water Quality in Riva River Watershed [PDF]

open access: yesEcological Chemistry and Engineering S, 2019
Abstract The Riva River is a water basin located within the borders of Istanbul in the Marmara Region (Turkey) in the south-north direction. Water samples were taken for the 35 km drainage area of the Riva River Basin before the river flows into the Black Sea at 4 stations on the Riva River every month and analyses were carried out ...
Öz, Nurtaç   +2 more
openaire   +3 more sources

A systematic mapping of water quality prediction using computational intelligence techniques [PDF]

open access: yes, 2016
Dada la naturaleza renovable del agua, este recurso se ha tratado y gestionado tradicionalmente como si fuese ilimitado, sin embargo el incremento indiscriminado de su uso ha acarreado consigo un acelerado deterioro en su calidad; es así como la ...
Afshar   +10 more
core   +2 more sources

Prediction and Assessment of Stream Water Quality by Considering Multiple Water Quality Parameters

open access: yesAsian Journal of Probability and Statistics, 2023
Geostatistical studies entail identifying the most appropriate model to describe the observed data so that it can be used to accurately predict responses across a range of possible locations. The purpose of such a model is to depict the link between the response variables and the predictors while taking into account uncertainties in space and time.
null Senarathne S. G. J.   +1 more
openaire   +1 more source

Home - About - Disclaimer - Privacy