Conference proceedings

Displaying 1 - 7 of 7 in regression (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

An integrated methodology to estimate the contribution of environmental factors controlling the spatial variation of total dissolved solids. Application on Jiu River Basin (Romania)

(Corresponding) Morosanu G., Zaharia L., Ioana - Toroimac G.
Topic: 
Enviornmental data analysis and modelling
The variation of the total dissolved solids (TDS) in river water is highly dependent on the natural and anthropogenic features of the TDS source areas, namely the river basins upstream of the measurement points. Despite the significant theoretical knowledge on the factors governing the TDS...Read more
Keywords: 
total dissolved solids, GIS, PCA, regression, Jiu River
Paper ID: 
cest2019_00269

Managing the risk of cyanobacteria through water quality characteristics analysis: A case study of two warm Mediterranean reservoirs

(Corresponding) Antoniou M., Kagalou I., Hadjiouraniou G., Daskalakis E., Tsiarta N., Chamoglou M., Polykarpou P.
Topic: 
Lakes, rivers, estuaries and ecosystem health
This study correlated the trophic condition of two Mediterranean water bodies with different typology with their water quality characteristics. The two studied cases included Polemidia Dam, a reservoir enriched with tertiary treated wastewater in Cyprus and Lake Karla, a re-established reservoir in...Read more
Keywords: 
eutrophication, cyanobacteria, PCA, multiple linear regression, cyanotoxins
Paper ID: 
cest2019_00315

Statistical modeling of meteorological conditions and air pollution over Athens, Greece

(Corresponding) DELIGIORGI D., PHILIPPOPOULOS K., DIAMANTI A.
Topic: 
Air pollution
The importance of meteorological parameters and topography in determining the air pollution levels in a specific area is well established. The aim of this study is to model the association between air pollution levels and meteorological parameters for a single site in Athens, Greece. The...Read more
Keywords: 
air pollution, meteorology, multiple linear regression
Paper ID: 
cest2019_00613

Fuzzy Relation Between The RDIst Index And The Water Table Of A Coastal Aquifer of Nestos Delta, Greece

(Corresponding) Papadopoulos C., Gkiougkis I., Spiliotis M., Pliakas F., Papadopoulos B.
Topic: 
Floods, droughts and water scarcity
Drought is a complicated natural extreme event associated with the decline of water availability below the normal conditions of a hydrological system, both from a temporal and from a spatial point of view. This work aims to assess the drought impacts on groundwater fluctuation in a shallow coastal...Read more
Keywords: 
Reconnaissance Drought Index, coastal aquifers, groundwater modeling, fuzzy linear regression, Nestos River Delta.
Paper ID: 
cest2019_00846

Moss-specific accumulation of atmospheric element deposition?

Dr. Nickel S., (Corresponding) Dr. Schröder W.
Topic: 
Air pollution
This article presents statistical analyses of elements concentrations in mosses which were collected in 1990, 1995, 2000, 2005 and 2015 throughout Germany at 592, 1026, 1028, 726 and 400 sites, respectively, and chemically analysed according to harmonised methods throughout Europe. The evaluations...Read more
Keywords: 
Conversion factors; heavy metals; Random Forest Regression; Multiple Linear Regression; Commonality Analysis.
Paper ID: 
cest2019_00955

Correction of the predicted wave characteristics using regression methods – a case study for the Iberian coastal environment

(Corresponding) Rusu L.
Topic: 
Marine environment and coastal management
The west Iberian coast is affected by various storms developed in the North Atlantic Ocean. For this reason, an accurate prediction of the sea state conditions is very important to manage the protection of the harbours and population living in the coastal cities. In recent years computing power has...Read more
Keywords: 
SWAN, West Iberian coast, hindcast wave data, correction, regression methods.
Paper ID: 
cest2021_00339

Comparison of regression model and artificial neural network model in noise prediction in a mixed area of Dhaka City

(Corresponding) Chowdhury V., Zarif S., Tofa T., Laskar M.
Topic: 
Environmental data analysis and modelling
The equivalent noise levels regularly exceed acceptable limits within Dhaka city, the capital of Bangladesh, especially in the mixed urban areas (where trips are generated to serve commercial, residential, and industrial demands). The study aims to assess the noise level in mixed urban areas, build...Read more
Keywords: 
Noise pollution, Equivalent noise level, Prediction model, Regression, Artificial Neural Network.
Paper ID: 
cest2021_00482