Conference proceedings

Displaying 11 - 20 of 31 in treatment (remove filter), water (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

New evidence of accelerated elimination of an emergent water pollutant by TiO2 assisted photo-oxidation

(Corresponding) FAVIER L., LASLAU A., SIMION A., SESCU A., HARJA M., RUSU L.
Topic: 
Advanced oxidation processes
Over the past few years, the presence of the pharmaceuticals and their metabolites in the aquatic environment has become an important public health issue. These molecules are generally released in the aquatic ecosystem through the effluents of conventional wastewater treatment plants which were not...Read more
Keywords: 
emergent organic pollutant, degradation,advanced oxidation, water treatment
Paper ID: 
cest2019_00652

Water reuse integration in the holistic water cycle

(Corresponding) Adin A.
Topic: 
Water and wastewater reuse
Wastewater reclamation and reuse (WRR) is an emerging water generation tool for combating water stress. The objective of this paper is to develop a conceptual approach which will pave the way to WRR sustainable integration in a multi-resources regional or local system. For that purpose, a holistic...Read more
Keywords: 
Water reuse; water cycle; water treatment; desalination; innovation
Paper ID: 
cest2019_00657

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

Implementing nature-based and other engineering solutions to recover water from non-conventional water sources

(Corresponding) Kappa S., Mamais D., Noutsopoulos C., Kisser J., Stanchev P., Katsou E., Malamis S.
Topic: 
Circular economy and industrial symbiosis
Mediterranean (MED) islands and coastal areas are under pressure due to water shortage. Water reserves are depleted, while tourism in the summer months burdens the limited water sources. A persistent issue arising from the above activity is the increased seasonal loads of sewage that wastewater...Read more
Keywords: 
circular economy, Horizon 2020, wastewater treatment, water reuse
Paper ID: 
cest2019_00953

Efficiency of Arsenic Removal from Water Using Fe-Modified Biochar from Date-Palm-Leaves Combined with Spectral Induced Polarization (SIP) Monitoring

Siddiq O., (Corresponding) Tawabini B., Kirmizakis P., Kalderis D., Ntarlagiannis D., Soupios P.
Topic: 
Water treatment
In this study, lab-scale column batch adsorption experiments were conducted to demonstrate the efficiency of Iron-modified Biochar (Fe-BC) produced from date-palm leaves at 500oC to remove arsenic (As) from contaminated water. The As removal capacity were monitored by both chemical analysis and...Read more
Keywords: 
Biochar, spectral induced polarization, arsenic, water treatment
Paper ID: 
cest2021_00119

Removal Of Arsenic From Water Using Iron-Coated Pomelo Peel (ICPP)

Nguyen T., Tran H., Nguyen Q., (Corresponding) Nguyen T., Vigneswaran S., Nguyen T.
Topic: 
Water treatment
This study investigated the removal of arsenite (As(III)) and arsenate (As(V)) in aqueous solution using iron-coated pomelo peel (ICPP). Batch adsorption experiments were performed to evaluate the effects of initial pH values (2.0–10), contact time (1–1440 minutes), initial concentration (0.05–5 mg...Read more
Keywords: 
Arsenic removal; Adsorption; Iron-coated pomelo peel; Water treatment
Paper ID: 
cest2021_00174

Synthesis of Fe3O4/Carbon Quantum Dots Hybrid for Efficient Removal of Congo Red Dye from Aqueous Solution

(Corresponding) Zourou A., Axarli V., Falara P., Ntziouni A., Kordatos K.
Topic: 
Water treatment
During the past decades, the release of toxic pollutants into aquatic environment has continuously increased due to rapid industrialization and civilization. The presence of organic dyes, such as Congo Red (CR), can be dangerous to both human and aquatic life. Therefore, their removal is an...Read more
Keywords: 
Fe3O4, carbon quantum dots, water treatment, Congo Red
Paper ID: 
cest2021_00251

Degradation of cytostatic drugs in water by ozonation

(Corresponding) Garcia-Costa A., Gouveia T., Pereira M., Silva A., Alves A., Madeira L., Santos M.
Topic: 
Advanced oxidation processes
This work presents the degradation of five cytostatics found in Portuguese WWTP effluents: bicalutamide (BICA), capecitabine (CAP), cyclophosphamide (CYC), ifosfamide (IFO) and mycophenolic acid (MPA) using non-catalytic ozonation. Experiments were performed with 1 µM of each cytostatic at pH: 7.3...Read more
Keywords: 
cytostatic drugs, oxidation, water treatment, emerging contaminants
Paper ID: 
cest2021_00389

Preliminary study on fluoride removal from contaminated groundwater by nanofiltration

(Corresponding) Fuoco I., Apollaro C., Criscuoli A., De Rosa R., Figoli A.
Topic: 
Water treatment
In this work, a commercial nanofiltration (NF) membrane, named SPR 10113, was used for the first time to treat a real F-contaminated groundwater (F= 8.9 mg/L) coming from deep crystalline aquifer of Calabria Region (Southern Italy), in order to verify its efficiency in terms of fluorine rejection...Read more
Keywords: 
Fluoride, water treatment, nanofiltration, membranes
Paper ID: 
cest2021_00395

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