2021
DOI: 10.2166/aqua.2021.061
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Water resources planning under climate and economic changes in Skiathos island, Aegean

Abstract: Small Aegean islands are facing complicated pressures of different natures. Their physically limited water resources are invoked to cover the increasing needs of the local population, combined with the seasonal water demand peaks due to tourists. This often leads to aquifers’ overexploitation and seawater intrusion, deteriorating the water quality. Water scarcity may also occur due to inadequate infrastructure, limited investments and human resources for proper management. This study uses the example of Skiath… Show more

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Cited by 4 publications
(1 citation statement)
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“…The need to enable the anticipation of impending heavy rainfall events and their potential impact on hydrological systems leading to potential flooding has long been recognized and researched [11]. The inherent uncertainties concerning meteorological phenomena that pass through flood models and forecasts have also long been researched [12,13], and continue to be a crucial research question [14], given the importance of accurate and timely forecasts [15], and the need for considering climate and weather uncertainties in integrated planning [16]. In that context, probabilistic forecasts have been proved particularly useful in enhancing the reliability of hydrologic-hydraulic forecasts [17].…”
Section: Introductionmentioning
confidence: 99%
“…The need to enable the anticipation of impending heavy rainfall events and their potential impact on hydrological systems leading to potential flooding has long been recognized and researched [11]. The inherent uncertainties concerning meteorological phenomena that pass through flood models and forecasts have also long been researched [12,13], and continue to be a crucial research question [14], given the importance of accurate and timely forecasts [15], and the need for considering climate and weather uncertainties in integrated planning [16]. In that context, probabilistic forecasts have been proved particularly useful in enhancing the reliability of hydrologic-hydraulic forecasts [17].…”
Section: Introductionmentioning
confidence: 99%