Conference proceedings

Displaying 1 - 10 of 13 in plant (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Identification and Quantification of Microplastic in Sewage systems by TED-GC-MS

(Corresponding) Altmann K., Goedecke C., Bannick C., Abusafia A., Scheid C., Steinmetz H., Braun U.
Topic: 
Microplastics in the marine environment
Over the last years, the number of publications reporting the amount of microplastic (MP) all over the world increased rapidly. But harmonised sampling, sample preparation and analysis strategies are missing. Commonly used methods are very time consuming and not comparable to each other. Hence,...Read more
Keywords: 
microplastic, TED-GC-MS, microplastic analysis, grey water, waste water treatment plant, combined sewer system
Paper ID: 
cest2019_00233

Employing data-driven models in the optimization of chemical usage in water treatment plants

(Corresponding) Kandris K., Romas E., Tzimas A., Gavalakis E.
Topic: 
Enviornmental data analysis and modelling
One of the most challenging tasks in potable water production is the cost-efficient and consistent operation of water treatment plants (WTPs) that treat raw water of variable quality and quantity. To increase process stability and optimize the usage of resources, two data-driven models simulated...Read more
Keywords: 
Water treatment optimization, Data-driven modelling, Water treatment plant
Paper ID: 
cest2019_00238

Pasture biodiversity after five years of establishment of a walnut silvopastoral system fertilized with different types of sewage sludge

ARIAS-MARTÍNEZ D., (Corresponding) MOSQUERA-LOSADA M., RIGUEIRO-RODRÍGUEZ A., FERREIRO-DOMÍNGUEZ N.
Topic: 
Agroforestry, forest and agricultural sustainability
Silvopasture is the combination of woody vegetation with forage and animal production on the same land that allows the diversification of agricultural income and productivity. In the silvopastoral systems, the fertilisation with sewage sludge could increase tree growth and pasture production at the...Read more
Keywords: 
agroforestry, waste, grazing, sowing, water treatment plant
Paper ID: 
cest2019_00865

Irrigation with reclaimed water containing Diclofenac and Lamotrigine induces stress reactions in Lettuce (Lactuca sativa)

Bigott Y., Perez S., Manasfy R., Montemurro N., Chowdhury S., (Corresponding) Schröder P.
Topic: 
Water and wastewater reuse
Pharmaceuticals as contaminants in treated wastewater can become a serious problem for food safety when they are used for agricultural irrigation. These organic contaminants can be taken up by plants and trigger abiotic stress responses which can eventually affect plant growth and development. When...Read more
Keywords: 
irrigation, diclofenac, lamotrigine, plant uptake, Lettuce
Paper ID: 
cest2021_00019

Patterns of drug use and chemical exposure in Athens (Greece) during COVID-19 pandemic using wastewater-based epidemiology

Aleiferi E., Galani A., Kontou A., Gkogkou A., Nika M., Alygizakis N., (Corresponding) Thomaidis N.
Topic: 
Emerging pollutants
After the first COVID-19 case in 2019 in Wuhan, China, the virus SARS-COV-2 has rapidly spread nationwide, alarming both the public and scientific community (Cascella et al., 2021). Currently, there are no treatments available for COVID-19, hence reducing the virus transmission and vaccinations...Read more
Keywords: 
COVID-19 wastewater-based epidemiology, wastewater treament plant of Psyttaleia (Athens), high-resoltution mass spectrometry (HRMS), LC-MS/MS
Paper ID: 
cest2021_00841

Sustainable Smart Agriculture: Plant disease detection with deep learning techniques in cotton cultivation

(Corresponding) Kounani A., Lavazos N., Tsimpiris A., Varsamis D.
Topic: 
ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS
To meet the needs of an ever-growing global population, the agricultural sector has the responsibility of increasing production, managing diseases and pests that attack crops, and implementing sustainable practices. Deep learning techniques used in sustainable smart agriculture have proven...Read more
Keywords: 
Convolutional Neural Networks, Plant Disease Detection, Smart Sustainable Agriculture
Paper ID: 
cest2023_00014

Drinking water from surface and ground water: production costs and influence of the climate change

(Corresponding) Verlicchi P., Grillini V., Maffini F., Benini A., Casoni R., Mari M.
Topic: 
Water treatment
Drinking water production may be affected by climate changes (i.e. intense rainfall events and high temperature periods) which impact on the availability and quality of the water source, above all surface water bodies. Efforts are being made to adopt the best strategies in the drinking water...Read more
Keywords: 
climate change, drinking water treatment plant, groundwater, production costs, surface water
Paper ID: 
cest2023_00057

Impact of Fatty Waste on Anaerobic Digestion of Sewage Sludge at a Municipal Wastewater Treatment Plant - A Case Study

(Corresponding) Umiejewska K., Retman M., Lech P.
Topic: 
Waste-to-energy
Anaerobic digestion is a common method for utilization of sewage sludge at large-scale wastewater treatment plants. This process generates biogas, which is a source of renewable energy. Intensification of biogas production can be achieved, for example, through co-digestion, with fatty waste...Read more
Keywords: 
anaerobic digestion, biogas, municipal wastewater treatment plant, co-digestion
Paper ID: 
cest2023_00155

Improve the post-harvest quality of fruits based on edible natural resources

RODINO S., (Corresponding) BUTU M., (Corresponding) BUTU A.
Topic: 
Agroforestry, forest and agricultural sustainability
Edible coatings and films from natural resources from which benefit both the consumer and the environment. In general, edible coatings and films are a combination of polysaccharides, proteins, lipids and plasticizers, used to improve the functional properties and general quality parameters of...Read more
Keywords: 
edible coatings, edible films, fruits, natural resources,plant extracts
Paper ID: 
cest2023_00269

OTAER biotechnology: a new pathway of reaching the Zero Net Carbon in Odours Treatment

(Corresponding) Romano F., Mariniello A., Oliva G., Naddeo V., Belgiorno V., Zarra T.
Topic: 
Sustainability & the SDGs
Emissions of odours into ambient air represent a serious problem and cause for conflict, due to the effects they cause on the population and on the exposed environment. Their treatment is therefore a priority. The approach currently pursued by the conventional odour treatment technologies is...Read more
Keywords: 
air pollution, biotechnology, environmental sustainability, Hydrogen sulfide, odor treatment wastewater treatment plant,
Paper ID: 
cest2023_00375