@article{SeleemAyzelBronstertetal.2023,
  author    = {Seleem, Omar and Ayzel, Georgy and Bronstert, Axel and Heistermann, Maik},
  title     = {Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany},
  series = {Natural Hazards and Earth System Sciences},
  volume    = {23},
  journal   = {Natural Hazards and Earth System Sciences},
  number    = {2},
  publisher = {Copernicus},
  address   = {G{\"o}ttingen},
  issn      = {1684-9981},
  doi       = {10.5194/nhess-23-809-2023},
  pages     = {809 -- 822},
  year      = {2023},
  abstract  = {Data-driven models have been recently suggested to surrogate computationally expensive hydrodynamic models to map flood hazards. However, most studies focused on developing models for the same area or the same precipitation event. It is thus not obvious how transferable the models are in space. This study evaluates the performance of a convolutional neural network (CNN) based on the U-Net architecture and the random forest (RF) algorithm to predict flood water depth, the models' transferability in space and performance improvement using transfer learning techniques. We used three study areas in Berlin to train, validate and test the models. The results showed that (1) the RF models outperformed the CNN models for predictions within the training domain, presumable at the cost of overfitting; (2) the CNN models had significantly higher potential than the RF models to generalize beyond the training domain; and (3) the CNN models could better benefit from transfer learning technique to boost their performance outside training domains than RF models.},
  language  = {en}
}
@article{RodriguesRodriguesRaabeetal.2023,
  author    = {Rodrigues, Glauber Pontes and Rodrigues, {\´I}talo Sampaio and Raabe, Armin and Holstein, Peter and De Araujo, Jos{\`e} Carlos},
  title     = {Direct measurement of open-water evaporation},
  series = {Hydrological sciences journal},
  volume    = {68},
  journal   = {Hydrological sciences journal},
  number    = {3},
  publisher = {Taylor \& Francis},
  address   = {Abingdon, Oxon},
  issn      = {0262-6667},
  doi       = {10.1080/02626667.2022.2157278},
  pages     = {379 -- 394},
  year      = {2023},
  abstract  = {This study investigates the sensitivity and uncertainty of evaporation assessment in a tropical reservoir in northeastern Brazil. For this purpose, four approaches were used: Penman, a Dalton-modified equation, a pressure meter and a novel acoustic sensor. The main objective is to evaluate whether sensors can be employed to adequately assess lake evaporation. The sensors were installed in floating pans and the equations are based on variables collected from a raft. The wind-inducted waves in the reservoir often disturbed the measurements using both pressure (uncertainty of +/- 0.6 mm) and acoustic (uncertainty of +/- 0.1 mm) sensors, causing flaws and affecting continuous monitoring. The modified Dalton model, based on data collected with a floating station, estimated values over three-hour courses of evaporation similar to those measured by the pressure meter. These findings are important contributions to an accurate monitoring of water losses through evaporation and reservoir operation, particularly in dry regions.},
  language  = {en}
}
@article{ArguellodeSouzaSamprognaMohorGuzmanAriasetal.2023,
  author    = {Arguello de Souza, Felipe Augusto and Samprogna Mohor, Guilherme and Guzman Arias, Diego Alejandro and Sarmento Buarque, Ana Carolina and Taffarello, Denise and Mendiondo, Eduardo Mario},
  title     = {Droughts in S{\~a}o Paulo},
  series = {Urban water journal},
  volume    = {20},
  journal   = {Urban water journal},
  number    = {10},
  publisher = {Taylor \& Francis},
  address   = {London [u.a.]},
  issn      = {1573-062X},
  doi       = {10.1080/1573062X.2022.2047735},
  pages     = {1682 -- 1694},
  year      = {2023},
  abstract  = {Literature has suggested that droughts and societies are mutually shaped and, therefore, both require a better understanding of their coevolution on risk reduction and water adaptation. Although the Sao Paulo Metropolitan Region drew attention because of the 2013-2015 drought, this was not the first event. This paper revisits this event and the 1985-1986 drought to compare the evolution of drought risk management aspects. Documents and hydrological records are analyzed to evaluate the hazard intensity, preparedness, exposure, vulnerability, responses, and mitigation aspects of both events. Although the hazard intensity and exposure of the latter event were larger than the former one, the policy implementation delay and the dependency of service areas in a single reservoir exposed the region to higher vulnerability. In addition to the structural and non-structural tools implemented just after the events, this work raises the possibility of rainwater reuse for reducing the stress in reservoirs.},
  language  = {en}
}