Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Chrysi Laspidou"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-15 (2024)
Abstract Motivated by the significance and complexity of exploring spatiotemporal patterns - regions within an urban environment, particularly in the context of extreme heat events- this research analyzes meteorological time series through complex ne
Externí odkaz:
https://doaj.org/article/6e2b870dbf1e48c9a91cd990404c6a3a
Autor:
Stephanie Bilgram, Christian Kind, Carla Klusmann, Chiara Castellani, Elisa Andreoli, Jan Cools, Dimitris Kofinas, Chrysi Laspidou, Antonio Trabucco
Publikováno v:
Open Research Europe, Vol 4 (2024)
Actions to strengthen climate resilience are gaining more traction. In order to ensure effective adaptation, it is important to monitor the outcomes and impacts of these actions. However, there are numerous challenges and a multitude of approaches wh
Externí odkaz:
https://doaj.org/article/f630a6e38c7041cdab8af178176626ef
Publikováno v:
Ecological Indicators, Vol 145, Iss , Pp 109630- (2022)
A methodology and a System Dynamics Model is constructed, using published data from the IUCN Red List Index database, that can be used to quantify the biodiversity status. The methodology is implemented for the Nestos River catchment in Greece. It is
Externí odkaz:
https://doaj.org/article/65b3cde716d046949fd4045d1cf5f45e
Autor:
Eleni Fotopoulou, Ioanna Mandilara, Anastasios Zafeiropoulos, Chrysi Laspidou, Giannis Adamos, Phoebe Koundouri, Symeon Papavassiliou
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
The development of solutions to manage or mitigate climate change impacts is very challenging, given the complexity and dynamicity of the socio-environmental and socio-ecological systems that have to be modeled and analyzed, and the need to include q
Externí odkaz:
https://doaj.org/article/5965553ed85a40b4ad5a2ee211bbfa2c
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Over the past decades, the understanding and assessment of cross-systems interactions have gained momentum in research and policy-support. As such, scientific literature on Nexus assessment methods and applications continues to grow, followed by nume
Externí odkaz:
https://doaj.org/article/575b8ab126a34be3b5ec2828b5e7c90b
Autor:
Rabi H. Mohtar, Virender K. Sharma, Bassel Daher, Chrysi Laspidou, Hyunook Kim, Efstratios N. Pistikopoulos, Iman Nuwayhid, Richard Lawford, Ali Rhouma, Majdi Abou Najm
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
The American Chemical Society’s Division of Environmental Chemistry symposium Toward Creating a Water-Energy-Food (WEF) Nexus Community of Practice, brought together 25 cross-disciplinary speakers in five thematic areas: 1) state of the art models
Externí odkaz:
https://doaj.org/article/5df472e7d03b4065a013260f473e17b8
Autor:
Floor Brouwer, Georgios Avgerinopoulos, Dora Fazekas, Chrysi Laspidou, Jean-Francois Mercure, Hector Pollitt, Eunice Pereira Ramos, Mark Howells
Publikováno v:
Energy Strategy Reviews, Vol 19, Iss , Pp 1-6 (2018)
The Nexus concept is the interconnection between the resources energy, water, food, land and climate. Such interconnections enable to address trade-offs and seek for synergies among them. Several policy areas (e.g. bio-based economy, circular economy
Externí odkaz:
https://doaj.org/article/0521c2064e1840328fe5b42258adaf60
Publikováno v:
Water, Vol 12, Iss 4, p 1191 (2020)
Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail under different and often co
Externí odkaz:
https://doaj.org/article/93a5e54587f14992b71c82c6b5d88070
Publikováno v:
Proceedings, Vol 2, Iss 11, p 668 (2018)
In recent years, mercury (Hg) concentration that exceeds the Maximum Contaminant Level Standard set by the World Health Organisation for drinking water has been detected in the groundwater of Skiathos Island in Greece. The island single source of urb
Externí odkaz:
https://doaj.org/article/bdf1d8aa440d4ac5a73d5611d4822d03
Autor:
Klemen Kenda, Matej Čerin, Mark Bogataj, Matej Senožetnik, Kristina Klemen, Petra Pergar, Chrysi Laspidou, Dunja Mladenić
Publikováno v:
Proceedings, Vol 2, Iss 11, p 697 (2018)
In this study a thorough analysis is conducted concerning the prediction of groundwater levels of Ljubljana polje aquifer. Machine learning methodologies are implemented using strongly correlated physical parameters as input variables. The results sh
Externí odkaz:
https://doaj.org/article/1b914d744a484d1a907c4078f2a8f2ab