Ekaterini Hadjisolomou

ORCID: 0000-0003-3711-9585
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About
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Research Areas
  • Hydrological Forecasting Using AI
  • Water Quality Monitoring Technologies
  • Marine and coastal ecosystems
  • Water Quality and Pollution Assessment
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Water Quality Monitoring and Analysis
  • Geological formations and processes
  • Fish Ecology and Management Studies
  • Marine and environmental studies
  • Geology and Paleoclimatology Research
  • Marine and fisheries research
  • Aquatic and Environmental Studies
  • Environmental Science and Water Management
  • Marine Biology and Ecology Research

University of Nicosia
2023

Cyprus University of Technology
2021-2023

University of Patras
2016-2022

Artificial Neural Networks (ANNs) have wide applications in aquatic ecology and specifically modelling water quality biotic responses to environmental predictors. However, data scarcity is a common problem that raises the need optimize approaches overcome limitations. With this paper, we investigate optimal k-fold cross validation building an ANN using small water-quality set. The was created model chlorophyll-a levels of shallow eutrophic lake (Mikri Prespa) located N. Greece. typical...

10.3390/w13111590 article EN Water 2021-06-04

During the last decades, Mediterranean freshwater ecosystems, especially lakes, have been under severe pressure due to increasing eutrophication and water quality deterioration. In this article, we compared effectiveness of different data analysis methods by assessing contribution environmental parameters processes. For purpose, principal components (PCA), cluster analysis, a self-organizing map (SOM) were applied, using from two transboundary lakes North Greece. SOM is considered as an...

10.3390/ijerph15030547 article EN International Journal of Environmental Research and Public Health 2018-03-19

Abstract The southern Red Sea is a key region for investigating the effect of climate forces on semi-closed basin. Detailed micropaleontological (planktic foraminifera) and isotopic (δ 18 Ο, δ 13 C) analyses along with reconstructions sea surface temperature salinity sediment core from Farasan banks revealed imprints level changes South Asian Monsoon area. Comparison surrounding records provided insights Sea-Gulf Aden (GoA)-Northwestern Arabian (NWArS) water exchange pattern over last 30 ka....

10.1017/qua.2022.16 article EN cc-by Quaternary Research 2022-04-29

Lake Pamvotis (Greece) is a shallow hypereutrophic lake with natural tendency to eutrophication. Several restoration measures were applied, but no long-term success. To examine the causes for this an Artificial Neural Network (ANN) was created in order simulate chlorophyll-a (Chl-a) levels and investigate role of associated environmental parameters. The ANN managed good correlation simulated Chl-a can be considered as reliable predictor. relative importance parameters calculated use "Partial...

10.3390/ijerph13080764 article EN International Journal of Environmental Research and Public Health 2016-07-28

Eutrophication is a major environmental issue with many negative consequences, such as hypoxia and harmful cyanotoxins production. Monitoring coastal eutrophication crucial, especially for island countries like the Republic of Cyprus, which are economically dependent on touristic sector. Additionally, open-sea aquaculture industry in Cyprus has been exhibiting an increase last decades monitoring to identify possible signs mandatory according legislation. Therefore, this modelling study, two...

10.20944/preprints202310.2090.v1 preprint EN 2023-11-01

Abstract Coastal hypoxia is a serious environmental problem that needs to be addressed at global level. The phenomenon of characterized by low Dissolved Oxygen (DO) levels in the water column causes detrimental effects on aquatic organisms. Anthropogenic activities such as intensive agriculture practices and point-source nutrient loading are considered main coastal hypoxia. This study utilizes data-driven modelling based Artificial Neural Networks (ANNs), specifically Feed-Forward ANNs,...

10.1088/1755-1315/1123/1/012083 article EN IOP Conference Series Earth and Environmental Science 2022-12-01

A surfeit of Dissolved Inorganic Nitrogen (DIN), which is defined as the total amount nitrite, nitrate, and ammonium levels in water, may cause negative effects to marine environment. For example, elevated DIN promote surplus production algae possible depletion oxygen water column. The column monitored part Water Framework Directive (WFD), Nitrates EU Marine Strategy (MSFD). Data-driven models have been proved be an excellent management tool for environmental issues related coastal quality...

10.1051/e3sconf/202343610002 article EN cc-by E3S Web of Conferences 2023-01-01

Eutrophication is a major environmental issue with many negative consequences, such as hypoxia and harmful cyanotoxin production. Monitoring coastal eutrophication crucial, especially for island countries like the Republic of Cyprus, which are economically dependent on tourist sector. Additionally, open-sea aquaculture industry in Cyprus has been exhibiting an increase recent decades monitoring to identify possible signs mandatory according legislation. Therefore, this modeling study, two...

10.3390/w15234097 article EN Water 2023-11-26

Good coastal water quality is important for human well-being but also marine organisms. The European Water Framework Directive (2000/60/EC) has established threshold values regional seas, with Cyprus collaborating Greece to assess conditions and set common chlorophyll-a (chl-a) thresholds. In the Levantine Basin, known its oligotrophic waters, chl-a levels categorize quality: under 0.1 (μg/l) indicates high quality, 0.4 good over moderate quality. A study developed a Probabilistic Neural...

10.1051/e3sconf/202458509007 article EN cc-by E3S Web of Conferences 2024-01-01

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10.1017/qua.2022.63 article EN Quaternary Research 2022-11-01
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