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Evangelos Rozos, Vasilis Bellos, John Kalogiros and Katerina Mazi
This paper presents an efficient flood early warning system developed for the city of Mandra, Greece which experienced a devastating flood event in November 2017 resulting in significant loss of life. The location is of particular interest due to both it...
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Hatef Dastour and Quazi K. Hassan
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread. In such situations, recurring data gaps can lead to unfavora...
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Aristoteles Tegos, Stefanos Stefanidis, John Cody and Demetris Koutsoyiannis
This paper examines the impacts of three different potential evapotranspiration (PET) models on drought severity and frequencies indicated by the standardized precipitation index (SPEI). The standardized precipitation-evapotranspiration index is a recent...
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Zaheed Gaffoor, Kevin Pietersen, Nebo Jovanovic, Antoine Bagula, Thokozani Kanyerere, Olasupo Ajayi and Gift Wanangwa
Machine learning and deep learning have demonstrated usefulness in modelling various groundwater phenomena. However, these techniques require large amounts of data to develop reliable models. In the Southern African Development Community, groundwater dat...
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Raffaele Albano, Caterina Samela, Iulia Craciun, Salvatore Manfreda, Jan Adamowski, Aurelia Sole, Åke Sivertun and Alexandru Ozunu
Large-scale flood risk assessment is essential in supporting national and global policies, emergency operations and land-use management. The present study proposes a cost-efficient method for the large-scale mapping of direct economic flood damage in dat...
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Lay Shien See, Luke Calo, Benjamin Bannon and Aaron Opdyke
Urban flooding in developing countries represents a growing threat to sustainable development efforts, yet the tools needed to study these infrastructure systems in data-scarce environments are woefully inadequate. This study seeks to propose a standardi...
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Bernd Resch and Michael Szell
Due to the wide-spread use of disruptive digital technologies like mobile phones, cities have transitioned from data-scarce to data-rich environments. As a result, the field of geoinformatics is being reshaped and challenged to develop adequate data-driv...
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Raffaele Albano, Leonardo Mancusi, Jan Adamowski, Andrea Cantisani and Aurelia Sole
Mapping the delineation of areas that are flooded due to water control infrastructure failure is a critical issue. Practical difficulties often present challenges to the accurate and effective analysis of dam-break hazard areas. Such studies are expensiv...
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Salvatore Manfreda, Caterina Samela, Alberto Refice, Valerio Tramutoli and Fernando Nardi
The last decades have seen a massive advance in technologies for Earth observation (EO) and environmental monitoring, which provided scientists and engineers with valuable spatial information for studying hydrologic processes. At the same time, the power...
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Yohannes Yihdego, John A Webb and Babak Vaheddoost
A method is presented to analyze the interaction between groundwater and Lake Linlithgow (Australia) as a case study. A simplistic approach based on a ?node? representing the groundwater component is employed in a spreadsheet of water balance modeling to...
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