Study of flood hazard in the Castelfranco Emilia area (Modena Province, Northern Italy)

The Castelfranco Emilia area is located in the Po Plain. The Panaro River have periodically caused flooding in the studyarea. The more recent floods took place between 1966 and 1973 (3 events).In order to reduce flood hazards, several meander cuts were carried out along the river. As these interventions resultedto be ineffective, a flow-regulation system was constructed west of Castelfranco Emilia. It consists of a regulating dambuilt across the riverbed and a storage basin bordered by embankments. This structure is operating since 1985 but wasfinished in 1999: no flooding events have occurred since it is in operation.The paper illustrates some aspects of flood hazard induced by the Panaro River, related to the construction of a highvelocity railway in the study area, a tract of the connection between Milano and Bologna.The relationship between precipitation data and the occurrence of a number of flooding events is studied, in order toestablish whether or not a significant relationship between the two can be identified. Furthermore, a distributed dynamichydrological model is constructed for simulation of the spatial and temporal proceedings of a flood event.On the basis of merely precipitation no predictions can be made with respect to the occurrence of a flood event. Theinclusion of alternative routes for the proposed railway allows for the evaluation and comparison of the spatial effects ofa flood event. Critical points in the model are calibration and the calculation of soil saturation prior to the event

Integrated GIS data set and 3d analysis for environmental impact assessment in the Castelfranco Emilia area (Modena Province, Northern Italy).

In this work is presented a database sets in order in order to analyse an Environmental Impact Assessment (EIA), Geographical Information System (GIS), Geomorphology, Castelfranco Emilia, Modena Provinc

An Iterative Least-Squares Method for the Hyperbolic Monge-Amp\`ere Equation with Transport Boundary Condition

A least-squares method for solving the hyperbolic Monge-Amp\`ere equation with transport boundary condition is introduced. The method relies on an iterative procedure for the gradient of the solution, the so-called mapping. By formulating error functionals for the interior domain, the boundary, both separately and as linear combination, three minimization problems are solved iteratively to compute the mapping. After convergence, a fourth minimization problem, to compute the solution of the Monge-Amp\`ere equation, is solved. The approach is based on a least-squares method for the elliptic Monge-Amp\`ere equation by Prins et al., and is improved upon by the addition of analytical solutions for the minimization on the interior domain and by the introduction of two new boundary methods. Lastly, the iterative method is tested on a variety of examples. It is shown that, when the iterative method converges, second-order global convergence as function of the spatial discretization is obtained.Comment: 30 pages, 24 figure

Modelling gradients using petri nets

Computer Systems, Imagery and MediaAlgorithms and the Foundations of Software technolog

Antenatal non-medical risk assessment and care pathways to improve pregnancy outcomes: a cluster randomised controlled trial

Social deprivation negatively affects health outcomes but receives little attention in obstetric risk selection. We investigated whether a combination of (1) risk assessment focused on non-medical risk factors, lifestyle factors, and medical risk factors, with (2) subsequent institution of risk-specific care pathways, and (3) multidisciplinary consultation between care providers from the curative and the public health sector reduced adverse pregnancy outcomes among women in selected urban areas in the Netherlands. We conducted a cluster randomised controlled trial in 14 urban municipalities across the Netherlands. Prior to the randomisation, municipalities were ranked and paired according to their expected proportion of pregnant women at risk for adverse outcomes at birth. The primary outcome was delivery of a preterm and/or small for gestational age (SGA) baby, analysed with multilevel mixed-effects logistic regression analysis adjusting for clustering and individual baseline characteristics. A total of 33 community midwife practices and nine hospitals participated throughout the study. Data from 4302 participants was included in the Intention To Treat (ITT) analysis. The intervention had no demonstrable impact on the primary outcome: adjusted odds ratio (aOR) 1.17 (95% CI 0.84–1.63). Among the secondary outcomes, the intervention improved the detection of threatening preterm delivery and fetal growth restriction during pregnancy [aOR 1.27 (95% CI 1.01–1.61)]. Implementation of additional non-medical risk assessment and preventive strategies into general practices is feasible but did not decrease the incidence of preterm and/or SGA birth in the index pregnancy in deprived urban areas. Trial registration Netherlands National Trial Register (NTR-3367)

Modeling Biological Gradient Formation: Combining Partial Differential Equations and Petri Nets

Algorithms and the Foundations of Software technologyComputer Systems, Imagery and Medi