Displaying 1 - 10 of 10 in detection (remove filter)
CEST Proceedings are published under the ISSN 2944-9820.
Detection of Alpha-induced radioluminescence in the ultraviolet C range for Nuclear Decommissioning Applications
(Corresponding) Gamage K., Crompton A.
Topic:
Hazardous waste management
The close range of traditional alpha radiation detectors makes detection time-consuming and potentially hazardous. Alpha-induced radioluminescence in the ultraviolet C (UVC) wavelength range (180-280 nm) may be the mechanism through which stand-off detection can be achieved. The UVTRON (Hamamatsu...Read more
An Ignition Probability Index for the early detection of wildfires in the Eastern Mediterranean region
(Corresponding) Xofis P., Tsiourlis G., Konstantinidis P.
Topic:
Disaster risk reduction and management
Wildfires continue to form a major disturbance factor in Mediterranean ecosystems, often associated with significant loss of properties and human lives. Fast detection and suppression within the first minutes after ignition constitute one of the pillars for successful wildfire management and...Read more
Photoluminescence spectroscopy on commercially available plastic products
(Corresponding) Konde S., Brackmann S., Hüppe F., Koch M.
Topic:
Case studies of macro- and microplastics pollution in coastal waters and rivers
Commercially available plastic products are produced for specific applications. They represent polymeric compounds, i.e. base materials mixed with various types of additives such as pigments. The identification of the plastic type is the key goal in microplastics analysis but also the key process...Read more
In pine stands systematic harvesting of forest products, such as resin extraction, are known to affect trees’ vitality and consequently their response to fungal diseases. The latter constitutes a serious threat for standing vigorous trees, thus early warning signals and short diagnosis time of...Read more
Keywords:
Pinus brutia, fungal detection, thermal imaging, leaf area index, tree coring
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
Morphological changes recorded from an automated beach optical monitoring system in a highly touristic pocket beach, Coral Bay, Pegeia, Cyprus
Chatzipavlis A., Andreadis O., Psarros F., (Corresponding) Hasiotis T., Velegrakis A., Evagorou E., Loizidi M., Chrysostomou G.
Topic:
Beach erosion of island beaches In Eastern Mediterranean (Greece and Cyprus): assessment, monitoring and Management
This paper demonstrates preliminary results of a Beach Optical Monitoring System (BOMS) installed in Coral Bay Beach (Pegeia, Cyprus) in the framework of BEACHTECH project. The BOMS is deployed at the southern sector of Coral Bay, a pocket sandy beach of high touristic and economic importance for...Read more
Many Engineering projects involve the authoring of repetitive documentation. On one key project that aimed to track clean water leakage from pipelines across a major city, this was the case. This project involved constructing chambers around clean water mains that enabled a tracking device to be...Read more
The Occurrence and Risk Assessment of Microplastics: different treatment technologies for wastewater treatment plants in Oman
(Corresponding) Yavari Z., Al Amri A., Nikoo M.
Topic:
Environmental data analysis and modelling
Microplastics (MPs) are considered an emerging pollutant and one of the greatest challenges for many states and are a significant environmental concern that requires to be addressed. Municipal wastewater treatment plants (WWTPs) are usually suspected of being major contributors to environmental MPs...Read more
Speciation of inorganic and organic arsenic forms using HPLC-ICP-MS technique in aqueous matrices
Tenea A., Dinu C., (Corresponding) Vasile G., Iancu V., Niculescu M.
Topic:
Heavy metals in the environment
The aim of the study was to develop, optimize and validate an analytical method for the simultaneous detection and quantification of As species (As (III), dimethylarsinate (DMA), monomethylarsonate (MMA) and As (V)) from various water matrices (drinking water, surface water and groundwater) using...Read more
Keywords:
As species, HPLC-ICP-MS, detection, organic and inorganic forms
Sensitive method for the simultaneous detection of ten azole contaminants in water samples by SPE-LC-MS/MS
Iancu V., (Corresponding) Tenea A., Chiriac F., Pirvu F., Serban G., Cojocaru V., Vasile G.
Topic:
Emerging pollutants
A new analytical method was developed for the determination of azole contaminants from environmental samples (surface water, drinking water, wastewater) by solid phase extraction (SPE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) quantification. The separation of the compounds...Read more
