E. Todini

ORCID: 0000-0003-0847-1379
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Water Systems and Optimization
  • Hydrological Forecasting Using AI
  • Meteorological Phenomena and Simulations
  • Water resources management and optimization
  • Precipitation Measurement and Analysis
  • Groundwater flow and contamination studies
  • Hydraulic flow and structures
  • Urban Stormwater Management Solutions
  • Hydrology and Sediment Transport Processes
  • Reservoir Engineering and Simulation Methods
  • Climate variability and models
  • Geotechnical Engineering and Underground Structures
  • Tropical and Extratropical Cyclones Research
  • Energy Load and Power Forecasting
  • Target Tracking and Data Fusion in Sensor Networks
  • Soil and Unsaturated Flow
  • Soil Moisture and Remote Sensing
  • Soil Geostatistics and Mapping
  • Dam Engineering and Safety
  • Probabilistic and Robust Engineering Design
  • Water Treatment and Disinfection
  • Hydraulic and Pneumatic Systems

Società Italiana di Fisica
2017-2024

Italian Society of Physiotherapy
2018-2022

University of Bologna
2008-2020

Zambon (Italy)
2003-2017

Bologna Research Area
2009-2011

University of L'Aquila
2008

University of Pisa
1980

IBM (United States)
1978

10.1016/s0022-1694(96)80016-3 article EN Journal of Hydrology 1996-02-01

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We provide an overview wide range theoretical, state-of-the-art models, methods, principles,...

10.1016/j.ijforecast.2021.11.001 article EN cc-by International Journal of Forecasting 2022-01-20

Abstract. This paper discusses basic issues in hydrological modelling and flood forecasting, ranging from the roles of physically-based data-driven rainfall runoff models, to concepts predictive uncertainty equifinality their implications. The evolution a wide range catchment models employing physically meaningful approaches introduces need for objective test beds or benchmarks assess merits different reconciling alternative approaches. In addition, analyses predictions by clarifying meaning...

10.5194/hess-11-468-2007 article EN cc-by-nc-sa Hydrology and earth system sciences 2007-01-17

Abstract Recent advances in meteorological forecast skill now enable significantly improved estimates of precipitation quantity, timing and spatial distribution to be made up 10 days ahead for model scales 40 km mode. Here we outline a prototype methodology downscale these using regional Numerical Weather Prediction models appropriate hydrological forecasting then use drive high‐resolution scale (1 or 5 grid scale) water balance rainfall‐runoff models. The aim is develop European Flood...

10.1080/15715124.2003.9635192 article EN International Journal of River Basin Management 2003-03-01

Abstract. This paper introduces TOPKAPI (TOPographic Kinematic APproximation and Integration), a new physically-based distributed rainfall-runoff model deriving from the integration in space of kinematic wave model. The approach transforms runoff routing processes into three ‘structurally-similar’ non-linear reservoir differential equations describing different hydrological hydraulic processes. geometry catchment is described by lattice cells over which are integrated to lead cascade...

10.5194/hess-6-859-2002 article EN cc-by-nc-sa Hydrology and earth system sciences 2002-10-31

Abstract This paper briefly discusses the nature, causes and role of predictive uncertainty in flood forecasting proposes a novel approach to its estimation. Following definition uncertainty, importance decision process is highlighted relation different sources errors (model, parameter, observations, boundary conditions) that affect forecasting. Moreover, analyses using full obtained by marginalising parameter instead conditional single set. Finally, new Model Conditional Processor (MCP) for...

10.1080/15715124.2008.9635342 article EN International Journal of River Basin Management 2008-06-01

[1] New survey techniques provide a large amount of high-resolution data, which can be extremely precious for flood inundation modeling. Such data availability raises the issue as to how exploit their information content effectively improve risk mapping and predictions. In this paper, we will discuss number important issues should taken into account in works related These include uncertainty sources model structure available data; difficult evaluation results, due scarcity observed...

10.1002/wrcr.20406 article EN Water Resources Research 2013-07-16

10.1016/0022-1694(88)90191-6 article EN Journal of Hydrology 1988-07-01

Abstract. The work aims at discussing the role of predictive uncertainty in flood forecasting and emergency management, its relevance to improve decision making process techniques be used for assessment. Real time requires taking into account a number reasons. Deterministic hydrological/hydraulic forecasts give useful information about real future events, but their predictions, as usually done practice, cannot taken occurrences rather pseudo-measurements order reduce makers. Predictive...

10.5194/hess-15-3253-2011 article EN cc-by Hydrology and earth system sciences 2011-10-28

The known formulations for steady-state hydraulics within looped water distribution networks are rederived in terms of linear and nonlinear transformations the original set partly equations that express conservation mass energy. All these lead to a system can be linearized as function chosen unknowns using either Newton-Raphson (NR) or theory (LT) approaches. This produces number different algorithms, some which already literature, whereas others have been originally developed this work. For...

10.1061/(asce)hy.1943-7900.0000703 article EN Journal of Hydraulic Engineering 2012-11-10

Abstract The paper introduces a new distributed rainfall‐runoff model derived upon the assumption that horizontal flow at point in soil and over surface can be approximated by means of kinematic wave model. is then integrated up to finite pixel dimension, thus converting original differential equation into non‐linear reservoir based physically meaningful parameters, solution which found numerically. catchment behaviour finally obtained aggregating reservoirs three cascades, representing...

10.1002/hyp.342 article EN Hydrological Processes 2002-01-22

Abstract. Operational real time flood forecasting systems generally require a hydrological model to run in as well series of hydro-informatics tools transform the forecast into relatively simple and clear messages decision makers involved defense. The scope this paper is set forth possibility providing warnings at given river sections based on direct comparison quantitative precipitation with critical rainfall threshold values, without need an on-line system. This approach leads extremely...

10.5194/hess-10-413-2006 article EN cc-by-nc-sa Hydrology and earth system sciences 2006-06-07

Abstract. The operational measurement of discharge in medium and large rivers is mostly based on indirect approaches by converting water stages into the basis steady-flow rating curves. Unfortunately, under unsteady flow conditions, this approach does not guarantee accurate estimation due, one hand, to underlying steady state assumptions and, other required extrapolation curve beyond range actual measurements used for its derivation. Historically, several formulae were proposed correct...

10.5194/hess-13-847-2009 article EN cc-by Hydrology and earth system sciences 2009-06-19

Abstract. TOPKAPI is a physically-based, fully distributed hydrological model with simple and parsimonious parameterisation. The original structured around five modules that represent evapotranspiration, snowmelt, soil water, surface water channel respectively. Percolation to deep layers was ignored in the old version of since it not important basins which originally applied. Based on published literature, this study developed new model, interception, infiltration, percolation, groundwater...

10.5194/hess-9-347-2005 article EN cc-by-nc-sa Hydrology and earth system sciences 2005-10-07

Abstract. The variable parameter Muskingum-Cunge (MC) flood routing approach, together with several variants proposed in the literature, does not fully preserve mass balance, particularly when dealing very mild slopes (<10−3). This paper revisits derivation of MC and demonstrates (i) that loss balance is caused by use time variant parameters which violate implicit assumption embedded original Muskingum scheme, implies constant at same (ii) estimated means Cunge approach two basic...

10.5194/hess-11-1645-2007 article EN cc-by-nc-sa Hydrology and earth system sciences 2007-10-15

In 2000, the resilience and failure indices were introduced as a convenient compact tool to express respectively water-distribution network (WDN) surplus deficit in satisfying users' demand, terms of delivered power. their original formulation, mentioned indices, originally thought WDN design tools, developed only considering demand-driven modeling approach, which would include pumps but not leakage. This paper extends formulation both presents generalized expression, more for use when...

10.1061/(asce)wr.1943-5452.0000656 article EN Journal of Water Resources Planning and Management 2016-03-30

The aim of this paper is to show that the combined use resilience index (Todini, 2000) with a loop based diameter uniformity (here formulated) yields good indirect reliability measure, which can be conveniently used within optimization processes water distribution system design. methodology adopted advantages two indexes consists (a) three-objective performed in order simultaneously minimize costs (first objective function) and maximize both (second third functions respectively); (b)...

10.1080/1573062x.2014.949799 article EN Urban Water Journal 2014-09-12
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