Conference proceedings

Displaying 261 - 270 of 565 in CEST2021 (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Monitoring of SARS-CoV-2, noroviruses and adenoviruses in wastewater in the Czech Republic

(Corresponding) Mlejnková H., Sovová K., Vašíčková P., Gharwalová L., Očenášková V., Jašíková L., Juranová E.
Topic: 
Wastewater-based epidemiology to monitor covid-19 outbreak: present and future diagnostic methods to be in your radar
Monitoring SARS-CoV-2 presence in wastewater has been carried out since April 2020, when the new disease COVID-19 began to spread rapidly in the Czech Republic. The aim of this study was to detect viruses in order to evaluate the possibility of using wastewater analysis as one of the tools for the...Read more
Keywords: 
SARS-CoV-2, wastewater, PCR, WWTP, WBE, adenoviruses, noroviruses
Paper ID: 
cest2021_00408

Modelling the operation of a Water Treatment Plant based on Artificial Neural Networks

(Corresponding) GYPARAKIS S., TRICHAKIS I., VAROUCHAKIS E., DIAMADOPOULOS E.
Topic: 
Water treatment
The main purpose of this study is to model the operation of a Drinking Water Treatment Plant (DWTP) using its main operational and water quality parameters in a fast, easy and reliable way. This study is based on a large number of data from recent years (2019-2021). The DWTP has a maximum capacity...Read more
Keywords: 
water, treatment, artificial, neural, network
Paper ID: 
cest2021_00409

Lisbon – European Green Capital 2020: the allotment gardens contribution

Batista D., Matos R., Simões P.
Topic: 
Spatial environmental planning
The main objective of this paper is to define the role and the importance of the urban allotment gardens in the consideration of Lisbon as the European Green Capital in 2020. In the first part of the paper, we seek to trace the historical evolution of vegetable gardens in the context of city...Read more
Keywords: 
Lisbon, vegetable gardens, multifunctionality, ecosystem services, food security
Paper ID: 
cest2021_00410

Performance Evaluation of a Portable and Cost-effective Atmospheric Particulate Matter Monitor

(Corresponding) Bezantakos S., Papaconstantinou R., Hadjigeorgiou N., Marinos C., Biskos G.
Topic: 
Air pollution
Low-cost particulate matter (PM) sensors offer high potentials in air quality monitoring. Their performance, however, strongly depends upon the materials used, their design and on the sampling and operational conditions. In this work we evaluate the performance of the latest Alphasense PM sensors...Read more
Keywords: 
Low cost PM sensors; Air quality; Indoor/Outdoor exposure
Paper ID: 
cest2021_00411

Seafood wastes as an attractive biosorbent: Chitin-based shrimp shells

Bahadır T., Gök G., (Corresponding) Çelebi H., Şimşek İ., Gök O.
Topic: 
Wastewater treatment
In recent years, water quality deteriorated with Zn (II) ions has started to take place among the important environmental problems. Zn (II) is a primary type of toxic and bioaccumulative pollutant commonly found in industrial wastewater. Biosorption is the most practical method in the treatment of...Read more
Keywords: 
Biosorption, Chitin, Seafood waste, Shrimp shell, Zinc ion
Paper ID: 
cest2021_00415

Bioaccumulation of pharmaceuticals, pesticides and PFASs in mussel´s visceral mass and haemolymph

(Corresponding) Álvarez-Ruiz R., Campo J., Picó Y.
Topic: 
Biodibersity conservation
Human activities pose an important impact for coastal environments. Particularly aquatic fuana is afflicted by the discharge of organic pollutants of anthorpogenic origin. Furthermore, recent studies show sinergies between diffferent pollutants, such as interactions between the presence of...Read more
Keywords: 
exposition, depuration, microplastics, haemolymph, QuEChERS
Paper ID: 
cest2021_00416

Suspected-target screening for the assessment of pollutants in sewage sludge and assessment of their environmental risk

(Corresponding) Álvarez-Ruiz R., Cuñat A., Picó Y.
Topic: 
Wastewater treatment
Wastewater generated by human activities contains different organic pollutants from anthropogenic origin. During its depuration in the wastewater treatment plants (WWTPs) sewage sludge is generated, which also contains these pollutants. While water influents and effluents of WWTPs are widely...Read more
Keywords: 
non-target, suspected screening, pharmaceuticals, metabolites
Paper ID: 
cest2021_00417

Evaluation of Toxicity of Three Antibiotics to Germination and Early Growth of Trifolium alexandrinum Seeds

(Corresponding) Fiaz M., Arshad M.
Topic: 
Emerging pollutants
Antibiotics are one of the most important emerging contaminants as they have been detected in several environmental compartments including soil. Compared to the wide literature on the effects of antibiotics on aquatic organisms, knowledge and understanding of their potential effects on terrestrial...Read more
Keywords: 
Phytotoxicity, Antibiotic mixtures, Trifolium alexandrinum, Germination
Paper ID: 
cest2021_00418

Ηexavalent chromium reduction in a photocatalytic membrane reactor in the presence of organic acids

(Corresponding) Sarasidis V., Kyriakou E., Plakas K., Karabelas A.
Topic: 
Advanced oxidation processes
This study deals with the photocatalytic reduction of carcinogenic hexavalent chromium, encountered in industrial effluents and surface waters, to much less toxic and harmful trivalent form. Experiments were performed in a pilot scale Photocatalytic Membrane Reactor employing titanium dioxide...Read more
Keywords: 
Advanced oxidation processes, heterogeneous photocatalysis, ultrafiltration, titanium dioxide nanoparticles, wastewater treatment
Paper ID: 
cest2021_00419

A data-driven approach to predict phytoplankton blooms using satellite-derived water quality and hydrometeorological drivers

(Corresponding) Kandris K., Romas E., Tzimas A., Bresciani M., Giardino C., Bauer P., Pechlivanidis I., Dessena M.
Topic: 
Environmental data analysis and modelling
The present work leverages simulated hydrometeorological factors and satellite-derived chlorophyll-a to predict phytoplankton dynamics for Mulargia reservoir (Sardinia, Italy). A Random Forest (RF) model was (a) calibrated to minimize out-of-bag errors of chlorophyll-a predictions for a 5-year-long...Read more
Keywords: 
Machine learning; forecasting; phytoplankton blooms; remote sensing; hydrometeorological predictions
Paper ID: 
cest2021_00420