Περιλαμβάνονται, με χρονολογική σειρά, δημοσιεύσεις στις οποίες έχουν χρησιμοποιηθεί δεδομένα από το εθνικό δίκτυο παρακολούθησης λιμνών.
Δημοσιεύσεις σε επιστημονικά περιοδικά
Latinopoulos, Dionissis; Ntislidou, Chrysoula; Carriere, Alexandra; Kemitzoglou, Dimitra; Tsiaoussi, Vasiliki; Kagalou, Ifigenia
How Hydromorphological Pressures Co-govern Lake Water Quality in a Mediterranean Environment. A Study for Greek Natural Lakes and Reservoirs Δημοσίευση σε επιστημονικό περιοδικό
In: Environmental Management, vol. 76, iss. 10, no. 324, 2026.
Περίληψη | Σύνδεσμοι | BibTeX | Ετικέτες: Biological quality elements (BQEs), Ecohydrological management, Hydrological features, Landscape metrics, Morphological attributes, Water Quality
@article{Latinopoulos2026,
title = {How Hydromorphological Pressures Co-govern Lake Water Quality in a Mediterranean Environment. A Study for Greek Natural Lakes and Reservoirs},
author = {Latinopoulos, Dionissis and Ntislidou, Chrysoula and Carriere, Alexandra and Kemitzoglou, Dimitra and Tsiaoussi, Vasiliki and Kagalou, Ifigenia},
url = {https://link.springer.com/article/10.1007/s00267-026-02627-6},
doi = {10.1007/s00267-026-02627-6},
year = {2026},
date = {2026-09-17},
urldate = {2026-09-17},
journal = {Environmental Management},
volume = {76},
number = {324},
issue = {10},
abstract = {Hydromorphological (HyMo) conditions are increasingly recognized as key drivers of ecological quality in lakes and reservoirs, yet their role in Mediterranean systems remains poorly understood. We hypothesize that the relations between HyMo (natural or anthropogenic) metrics and quality elements (biological and physicochemical; QEs) could be quantified to benefit lake functioning and ecological quality. This attempt to quantify HyMo and QEs links, is the first for Mediterranean lakes, and aims to identify the level of QEs responsiveness to specific HyMo metrics. National monitoring data from 24 natural lakes and 26 reservoirs across Greece (2012–2021) were used. A systematic screening procedure ended with seven and eleven metrics for natural lakes and reservoirs, respectively. Redundancy Analysis and stepwise multiple linear regression were applied to identify and quantify the influence of HyMo metrics on QEs. In natural lakes, mean depth and water level were the most consistent predictors, reflecting self-purification capacity and resilience to eutrophication, while non-natural land cover and agricultural land use negatively affected phytoplankton, macrophytes, and water transparency. In reservoirs, land cover characteristics (i.e., intensive agriculture and fallow land) within the 100 m buffer zone emerged as dominant drivers of phytoplankton and Chl-a variability. Principal Component Analysis revealed four distinct typological groupings for both system types, reflecting the interplay between morphological and land use metrics. These findings confirm that HyMo functioning is a significant mediator of ecological quality in Mediterranean lakes and reservoirs, supporting the integration of system-specific HyMo metrics into Water Framework Directive assessment and ecohydrological management strategies.},
keywords = {Biological quality elements (BQEs), Ecohydrological management, Hydrological features, Landscape metrics, Morphological attributes, Water Quality},
pubstate = {published},
tppubtype = {article}
}
Hydromorphological (HyMo) conditions are increasingly recognized as key drivers of ecological quality in lakes and reservoirs, yet their role in Mediterranean systems remains poorly understood. We hypothesize that the relations between HyMo (natural or anthropogenic) metrics and quality elements (biological and physicochemical; QEs) could be quantified to benefit lake functioning and ecological quality. This attempt to quantify HyMo and QEs links, is the first for Mediterranean lakes, and aims to identify the level of QEs responsiveness to specific HyMo metrics. National monitoring data from 24 natural lakes and 26 reservoirs across Greece (2012–2021) were used. A systematic screening procedure ended with seven and eleven metrics for natural lakes and reservoirs, respectively. Redundancy Analysis and stepwise multiple linear regression were applied to identify and quantify the influence of HyMo metrics on QEs. In natural lakes, mean depth and water level were the most consistent predictors, reflecting self-purification capacity and resilience to eutrophication, while non-natural land cover and agricultural land use negatively affected phytoplankton, macrophytes, and water transparency. In reservoirs, land cover characteristics (i.e., intensive agriculture and fallow land) within the 100 m buffer zone emerged as dominant drivers of phytoplankton and Chl-a variability. Principal Component Analysis revealed four distinct typological groupings for both system types, reflecting the interplay between morphological and land use metrics. These findings confirm that HyMo functioning is a significant mediator of ecological quality in Mediterranean lakes and reservoirs, supporting the integration of system-specific HyMo metrics into Water Framework Directive assessment and ecohydrological management strategies.
Perivolioti, Triantafyllia-Maria; Zachopoulos, Konstantinos; Zioga, Marianthi; Tompoulidou, Maria; Katsavouni, Sotiria; Kemitzoglou, Dimitra; Terzopoulos, Dimitrios; Mouratidis, Antonios; Tsiaoussi, Vasiliki
Monitoring the Impact of Floods on Water Quality Using Optical Remote Sensing Imagery: The Case of Lake Karla (Greece) Δημοσίευση σε επιστημονικό περιοδικό
In: Water, vol. 16, no. 23, 2024, ISSN: 2073-4441.
Περίληψη | Σύνδεσμοι | BibTeX | Ετικέτες: investigative monitoring, Sentinel-2 imagery, Storm Daniel, Thessaly Plain flood, Water Quality
@article{w16233502,
title = {Monitoring the Impact of Floods on Water Quality Using Optical Remote Sensing Imagery: The Case of Lake Karla (Greece)},
author = {Triantafyllia-Maria Perivolioti and Konstantinos Zachopoulos and Marianthi Zioga and Maria Tompoulidou and Sotiria Katsavouni and Dimitra Kemitzoglou and Dimitrios Terzopoulos and Antonios Mouratidis and Vasiliki Tsiaoussi},
editor = {Juan Miguel Soria},
doi = {10.3390/w16233502},
issn = {2073-4441},
year = {2024},
date = {2024-12-05},
urldate = {2024-12-05},
journal = {Water},
volume = {16},
number = {23},
abstract = {This study investigates the performance of published bio-optical remote sensing indices/algorithms for monitoring water quality changes in Lake Karla, Greece, caused by Storm Daniel after the September 2023 flooding event. Commonly applied indices were utilised to estimate chlorophyll-a (Chl-a) and total suspended solids (TSS) using Sentinel-2 high-resolution optical imagery. In situ measurements were undertaken and water samples were collected during the pre-flooding period, post-flooding, and one-year post-flood, providing a basis for validating the remote sensing models. Monitoring results showed that most physicochemical parameters changed considerably. Chl-a and TSS were estimated by testing five and seven indices, respectively. Regarding the Chl-a estimation, the NDCI and 2-BDA indices outperformed other models, having high correlations with in situ Chl-a measurements and effectively following the in situ Chl-a temporal trends. Among the TSS indices, NDWI and TUR-IND demonstrated better performances, effectively capturing the variations in suspended solids. Overall, this study highlights the potential of Sentinel-2 imagery in assessing water quality changes, particularly in response to flooding events. It is an exploratory approach to assess the feasibility of utilising optical satellite data for evaluating the environmental impacts of natural disasters on lake water quality and supports decision-making in environmental management. Additionally, it identifies potential challenges and considerations that must be addressed to ensure effective application.},
keywords = {investigative monitoring, Sentinel-2 imagery, Storm Daniel, Thessaly Plain flood, Water Quality},
pubstate = {published},
tppubtype = {article}
}
This study investigates the performance of published bio-optical remote sensing indices/algorithms for monitoring water quality changes in Lake Karla, Greece, caused by Storm Daniel after the September 2023 flooding event. Commonly applied indices were utilised to estimate chlorophyll-a (Chl-a) and total suspended solids (TSS) using Sentinel-2 high-resolution optical imagery. In situ measurements were undertaken and water samples were collected during the pre-flooding period, post-flooding, and one-year post-flood, providing a basis for validating the remote sensing models. Monitoring results showed that most physicochemical parameters changed considerably. Chl-a and TSS were estimated by testing five and seven indices, respectively. Regarding the Chl-a estimation, the NDCI and 2-BDA indices outperformed other models, having high correlations with in situ Chl-a measurements and effectively following the in situ Chl-a temporal trends. Among the TSS indices, NDWI and TUR-IND demonstrated better performances, effectively capturing the variations in suspended solids. Overall, this study highlights the potential of Sentinel-2 imagery in assessing water quality changes, particularly in response to flooding events. It is an exploratory approach to assess the feasibility of utilising optical satellite data for evaluating the environmental impacts of natural disasters on lake water quality and supports decision-making in environmental management. Additionally, it identifies potential challenges and considerations that must be addressed to ensure effective application.
Προφορικές παρουσιάσεις σε συνέδρια
Mavromati, Efpraxia; Kagalou, Ifigenia; Kemitzoglou, Dimitra; Apostolakis, Antonis; Tsiaoussi, Vasiliki
Linkages between physicochemical status and hydromorphology in Greek lakes under WFD policy Προφορική παρουσίαση σε συνέδριο
European Water 58, 01.09.2017.
Περίληψη | Σύνδεσμοι | BibTeX | Ετικέτες: Hydromorphology, Water Quality, WFD, Λίμνες
@misc{Mavromati2017,
title = {Linkages between physicochemical status and hydromorphology in Greek lakes under WFD policy},
author = {Efpraxia Mavromati and Ifigenia Kagalou and Dimitra Kemitzoglou and Antonis Apostolakis and Vasiliki Tsiaoussi},
url = {https://www.ewra.net/ew/pdf/EW_2017_58_41.pdf},
year = {2017},
date = {2017-09-01},
urldate = {2017-09-01},
pages = {273-279},
abstract = {The national monitoring network of waters in Greece, in the context of Water Framework Directive, has been operational since 2012. It comprises 50 lake water bodies, both natural and artificial (24 and 26 respectively). The aims of the study are i) to present the main features of Greek lakes; ii) to position them according to hydromorphological and physicochemical data from the first period of monitoring and iii) to investigate how the hydromorphological features influence water quality. Greek lakes are discerned in relation to hydromorphological aspects such as mean depth, volume, surface area, catchment area. Impacted and unimpacted lakes are separated when positioned along physical and chemical attributes, such as Secchi depth, TP and ion concentrations. The dataset covers a gradient of eutrophication, which seems to be the main anthropogenic pressure on lakes in Greece and probably one of the most widespread anthropogenic pressures on lakes across Europe. Catchment areas of the Greek lakes have undergone substantial agricultural, industrial, and urban development over recent years, leading to eutrophication and hydromorphological alterations. Management measures at a catchment scale aiming to control land uses would be needed in order to maintain and/or improve water quality in Greek lakes, supplemented by site-specific measures when appropriate. The monitoring network provides baseline data that will allow the assessment of status and trends of Greek lakes.},
howpublished = {European Water 58},
keywords = {Hydromorphology, Water Quality, WFD, Λίμνες},
pubstate = {published},
tppubtype = {presentation}
}
The national monitoring network of waters in Greece, in the context of Water Framework Directive, has been operational since 2012. It comprises 50 lake water bodies, both natural and artificial (24 and 26 respectively). The aims of the study are i) to present the main features of Greek lakes; ii) to position them according to hydromorphological and physicochemical data from the first period of monitoring and iii) to investigate how the hydromorphological features influence water quality. Greek lakes are discerned in relation to hydromorphological aspects such as mean depth, volume, surface area, catchment area. Impacted and unimpacted lakes are separated when positioned along physical and chemical attributes, such as Secchi depth, TP and ion concentrations. The dataset covers a gradient of eutrophication, which seems to be the main anthropogenic pressure on lakes in Greece and probably one of the most widespread anthropogenic pressures on lakes across Europe. Catchment areas of the Greek lakes have undergone substantial agricultural, industrial, and urban development over recent years, leading to eutrophication and hydromorphological alterations. Management measures at a catchment scale aiming to control land uses would be needed in order to maintain and/or improve water quality in Greek lakes, supplemented by site-specific measures when appropriate. The monitoring network provides baseline data that will allow the assessment of status and trends of Greek lakes.