Conference proceedings

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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

Quantification of Soil Properties from Hyperspectral Data for Sustainable Agriculture Using Deep Learning

(Corresponding) Singh S., Kasana S.
Topic: 
Agroforestry, forest and agricultural sustainability
The characterization of soil properties is critical for optimizing farming for sustainable agriculture. All the existing techniques for soil quantification do not take advantage of the sequential nature of Hyperspectral Data. This work focuses on proposing a Hybrid Framework that can quantitatively...Read more
Keywords: 
Hyperspectral data, LSTM, PCA, LPP, Nutrients.
Paper ID: 
cest2019_00722