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Environmental and Earth Sciences Proceedings
Volume 32
Issue 1
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Environ. Earth Sci. Proc., 2025, ECWS-8

The 8th International Electronic Conference on Water Sciences

14–16 October 2024

Volume Editor:
Helena M. Ramos, University of Lisbon, Portugal

Number of Papers: 3
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Cover Story (view full-size image): The 8th International Electronic Conference on Water Sciences (ECWS-8), building on seven successful previous conferences, will focus on key water-related issues including adaptive water resources [...] Read more.
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8 pages, 1000 KiB  
Proceeding Paper
Extreme Rainfall Analysis Including Seasonality in Athens, Greece
by Konstantinos Vantas and Athanasios Loukas
Environ. Earth Sci. Proc. 2025, 32(1), 1; https://doi.org/10.3390/eesp2025032001 - 15 Jan 2025
Viewed by 352
Abstract
Extreme rainfall analysis is essential for accurate flood hazard assessment. Traditional approaches, such as the use of annual maxima, may overlook seasonal variations and lead to underestimated precipitation extremes, compromising effective flood risk management strategies. This study applies a point process model to [...] Read more.
Extreme rainfall analysis is essential for accurate flood hazard assessment. Traditional approaches, such as the use of annual maxima, may overlook seasonal variations and lead to underestimated precipitation extremes, compromising effective flood risk management strategies. This study applies a point process model to uninterrupted daily rainfall records (1901–2023) from the National Observatory of Athens meteorological station in Thiseion. This method analyzes both the frequency of exceedances above a given threshold and the values of those exceedances, incorporating seasonality into the modeling process. Preliminary analysis using annual maxima revealed no statistically significant trend but indicated clear monthly seasonality in precipitation extremes. By incorporating seasonality, the point process method yielded estimates up to 22% higher than those obtained using traditional annual maxima approaches, such as those employed in Greece’s National Flood Risk Management Plans. These findings highlight the need for a revision of current methodologies, which could significantly impact flood risk assessments and management strategies. Full article
(This article belongs to the Proceedings of The 8th International Electronic Conference on Water Sciences)
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8 pages, 3405 KiB  
Proceeding Paper
Nature-Based Solutions Applied in Urban Drainage Systems: A Case Study Using GIS-Based Hydrological Modeling
by Lineker Max Goulart Coelho
Environ. Earth Sci. Proc. 2025, 32(1), 2; https://doi.org/10.3390/eesp2025032002 - 24 Jan 2025
Viewed by 257
Abstract
This work aims to show a streamlined framework to assess Nature-based Solution (NbS) scenarios in stormwater management. Different scenarios for NbS were assessed using computational modeling to estimate the extension of flooded areas. Scenario 1 represents the current situation with no NbS implemented, [...] Read more.
This work aims to show a streamlined framework to assess Nature-based Solution (NbS) scenarios in stormwater management. Different scenarios for NbS were assessed using computational modeling to estimate the extension of flooded areas. Scenario 1 represents the current situation with no NbS implemented, Scenario 2 increased vegetation cover, Scenario 3 used linear gardens, and Scenario 4 rain gardens. Hydrological modeling combined Georeferenced Information System (GIS) and flooding spot analysis. Scenarios 3 and 4 were able to avoid flooding, with almost no flooding spots. The results indicate that the proposed assessment framework was an efficient way to compare different scenarios for stormwater management. Full article
(This article belongs to the Proceedings of The 8th International Electronic Conference on Water Sciences)
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8 pages, 4076 KiB  
Proceeding Paper
Regional Frequency Analysis of Annual Maximum Rainfall and Sampling Uncertainty Quantification
by Marios Billios and Lampros Vasiliades
Environ. Earth Sci. Proc. 2025, 32(1), 3; https://doi.org/10.3390/eesp2025032003 - 24 Jan 2025
Viewed by 283
Abstract
Accurate quantile estimation of extreme precipitation is crucial for hydraulic infrastructure design but is often hindered by limited data records, leading to uncertainties. This study applies regional frequency analysis (RFA) using L-moments, comparing classical and Bayesian approaches to quantify uncertainties. Data from 55 [...] Read more.
Accurate quantile estimation of extreme precipitation is crucial for hydraulic infrastructure design but is often hindered by limited data records, leading to uncertainties. This study applies regional frequency analysis (RFA) using L-moments, comparing classical and Bayesian approaches to quantify uncertainties. Data from 55 rainfall stations in Thessaly, Greece, are analyzed through clustering using PCA and k-means. The Generalized Extreme Value (GEV) distribution is fitted to delineated clusters, and uncertainties are assessed via bootstrap and MCMC methods. Results highlight consistency in location and scale estimates, with Bayesian methods offering narrower uncertainty bounds, demonstrating improved reliability for long-term rainfall prediction and design. Full article
(This article belongs to the Proceedings of The 8th International Electronic Conference on Water Sciences)
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