Maurizio Mazzoleni
UNESCO-IHE Institute for Water Education
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Featured researches published by Maurizio Mazzoleni.
Earth’s Future | 2017
Heidi Kreibich; Giuliano Di Baldassarre; Sergiy Vorogushyn; J.C.J.H. Aerts; Heiko Apel; Giuseppe T. Aronica; Karsten Arnbjerg-Nielsen; Laurens M. Bouwer; P. Bubeck; Tommaso Caloiero; Do Thi Chinh; Maria Cortès; Animesh K. Gain; Vincenzo Giampá; Christian Kuhlicke; Zbigniew W. Kundzewicz; M. C. Llasat; Johanna Mård; Piotr Matczak; Maurizio Mazzoleni; Daniela Molinari; Nguyen Viet Dung; Olga Petrucci; Kai Schröter; Kymo Slager; Annegret H. Thieken; Philip J. Ward; Bruno Merz
As flood impacts are increasing in large parts of the world, understanding the primary drivers of changes in risk is essential for effective adaptation. To gain more knowledge on the basis of empirical case studies, we analyze eight paired floods, that is, consecutive flood events that occurred in the same region, with the second flood causing significantly lower damage. These success stories of risk reduction were selected across different socioeconomic and hydro-climatic contexts. The potential of societies to adapt is uncovered by describing triggered societal changes, as well as formal measures and spontaneous processes that reduced flood risk. This novel approach has the potential to build the basis for an international data collection and analysis effort to better understand and attribute changes in risk due to hydrological extremes in the framework of the IAHSs Panta Rhei initiative. Across all case studies, we find that lower damage caused by the second event was mainly due to significant reductions in vulnerability, for example, via raised risk awareness, preparedness, and improvements of organizational emergency management. Thus, vulnerability reduction plays an essential role for successful adaptation. Our work shows that there is a high potential to adapt, but there remains the challenge to stimulate measures that reduce vulnerability and risk in periods in which extreme events do not occur.
Journal of Hydrologic Engineering | 2014
Maurizio Mazzoleni; Baldassare Bacchi; Stefano Barontini; G. Di Baldassarre; Marco Pilotti; Roberto Ranzi
AbstractIn recent years, flood-related risk has been increasing worldwide, being inundations among the natural disasters which induce the maximum damage in terms of economic losses. In the research reported in this paper, a methodology to map the flooding residual hazard due to levee failure events induced by piping in embankments protecting flood-prone areas is proposed. Ensemble simulations are used to account for uncertainties in location, geometry, and time-evolution of the levee breaches. Probabilistic flooding-hazard maps are generated combining the results of 192 inundation scenarios, simulated by using one-dimensional (1D) and two-dimensional (2D) hydrodynamic models. The methodology is applied considering 96 different locations and sizes of breaches occurred along a 23-km reach protected by the right levee of the Po River, the right levee of the Taro River, and the left levee of the Parma River, which delimit a 100-km2 study area. The influence of obstacles to the flood propagation and consequent...
Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2016
Maurizio Mazzoleni; Leonardo Alfonso; Dimitri P. Solomatine
ABSTRACT The aim of this study is to assess the influence of sensor locations and varying observation accuracy on the assimilation of distributed streamflow observations, also taking into account different structures of semi-distributed hydrological models. An ensemble Kalman filter is used to update a semi-distributed hydrological model as a response to measured streamflow. Various scenarios of sensor locations and observation accuracy are introduced. The methodology is tested on the Brue basin during five flood events. The results of this work demonstrate that the assimilation of streamflow observations at interior points of the basin can improve the hydrological models according to the particular location of the sensors and hydrological model structure. It is also found that appropriate definition of the observation accuracy can affect model performance and consequent flood forecasting. These findings can be used as criteria to develop methods for streamflow monitoring network design.
Journal of Hydrologic Engineering | 2015
Maurizio Mazzoleni; Stefano Barontini; Roberto Ranzi; Luigia Brandimarte
AbstractTraditionally, levees are a popular measure widely adopted for flood control, accepted and trusted by populations living in floodplain areas. The presence of levees sometimes might even induce a false sense of safety in the population, influencing their decision to develop further in floodplains, because they feel safer. Thus, failures of levee systems are potentially devastating, as they might induce loss of human lives, damages to properties, and economic loss. This study proposes an innovative methodology to estimate the reliability of levee systems, accounting for different sources of uncertainty, and to divide and classify discrete levee reaches, according to different fragility classes. The reliability analysis is performed by evaluating the probability of failure, as a function of a certain failure mechanism, conditioned by a given hydraulic load. Fragility curves are determined using two different methods: Monte Carlo data generation and the so-called approximate, first-order reliability m...
Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2018
Maurizio Mazzoleni; Seong Jin Noh; Haksu Lee; Yuqiong Liu; Dong Jun Seo; Alessandro Amaranto; Leonardo Alfonso; Dimitri P. Solomatine
ABSTRACT This paper comparatively assesses the performance of five data assimilation techniques for three-parameter Muskingum routing with a spatially lumped or distributed model structure. The assimilation techniques used include direct insertion (DI), nudging scheme (NS), Kalman filter (KF), ensemble Kalman filter (EnKF) and asynchronous ensemble Kalman filter (AEnKF), which are applied to river reaches in Texas and Louisiana, USA. For both lumped and distributed routing, results from KF, EnKF and AEnKF are sensitive to the error specification. As expected, DI outperformed the other models in the case of lumped modelling, while in distributed routing, KF approaches, particularly AEnKF and EnKF, performed better than DI or nudging, reflecting the benefit of updating distributed states through error covariance modelling in KF approaches. The results of this work would be useful in setting up data assimilation systems that employ increasingly abundant real-time observations using distributed hydrological routing models.
Science Advances | 2018
Johanna Mård; Giuliano Di Baldassarre; Maurizio Mazzoleni
Catastrophic flood events can trigger human resettlement away from rivers. To understand the spatiotemporal changes of flood risk, we need to determine the way in which humans adapt and respond to flood events. One adaptation option consists of resettling away from flood-prone areas to prevent or reduce future losses. We use satellite nighttime light data to discern the relationship between long-term changes in human proximity to rivers and the occurrence of catastrophic flood events. Moreover, we explore how these relationships are influenced by different levels of structural flood protection. We found that societies with low protection levels tend to resettle further away from the river after damaging flood events. Conversely, societies with high protection levels show no significant changes in human proximity to rivers. Instead, such societies continue to rely heavily on structural measures, reinforcing flood protection and quickly resettling in flood-prone areas after a flooding event. Our work reveals interesting aspects of human adaptation to flood risk and offers key insights for comparing different risk reduction strategies. In addition, this study provides a framework that can be used to further investigate human response to floods, which is relevant as urbanization of floodplains continues and puts more people and economic assets at risk.
Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2017
Maurizio Mazzoleni; Francesco Dottori; Luigia Brandimarte; Shewandagn Tekle; Mario L. V. Martina
ABSTRACT The reliability of a levee system is a crucial factor in flood risk management. In this study we present a probabilistic methodology to assess the effects of levee cover strength on levee failure probability, triggering time, flood propagation and consequent impacts on population and assets. A method for determining fragility curves is used in combination with the results of a one-dimensional hydrodynamic model to estimate the conditional probability of levee failure in each river section. Then, a levee breach model is applied to calculate the possible flood hydrographs, and for each breach scenario a two-dimensional hydrodynamic model is used to estimate flood hazard (flood extent and timing, maximum water depths) and flood impacts (economic damage and affected population) in the areas at risk along the river reach. We show an application for levee overtopping and different flood scenarios for a 98 km reach of the lower Po River in Italy. The results show how different design solutions for the levee cover can influence the probability of levee failure and the consequent flood scenarios. In particular, good grass cover strength can significantly delay levee failure and reduce maximum flood depths in the flood-prone areas, thus helping the implementation of flood risk management actions. EDITOR D. Koutsoyiannis ASSOCIATE EDITOR A. Viglione
Advances in Water Resources | 2015
Maurizio Mazzoleni; Leonardo Alfonso; Juan Chacon-Hurtado; Dimitri P. Solomatine
Hydrology and Earth System Sciences | 2017
Maurizio Mazzoleni; Martin Verlaan; Leonardo Alfonso; Martina Monego; Daniele Norbiato; Miche Ferri; Dimitri P. Solomatine
Hydrology and Earth System Sciences | 2018
Maurizio Mazzoleni; Vivian Juliette Cortes Arevalo; Uta Wehn; Leonardo Alfonso; Daniele Norbiato; Martina Monego; Michele Ferri; Dimitri P. Solomatine