Building risk spaces differ according to the history of urban development and environmental context each city. The aim this work is analyze historical-territorial periods that generated construction flood areas in city San Carlos de Bariloche, Rio Negro, Argentina. Dagwood Sandwich methodology was applied urbanization its transformations over time role played by environment impacts caused socie...

the main purpose of the present research is to determine the relationship between the management earnings forecast errors and conservatism level and then surveying about the effects of forecast difficulty, and external financing on this relationship. regarding this, the financial information related to 147 stock firms, available during the period of study (2003-2015) were collected and analyzed...

The difficulties involved in calibrating conceptual watershed models have, in the past, been partly attributable to the lack of robust optimization tools. Recently, a global optimization method known as the SCE-UA (shuffled complex evolution method developed at The University of Arizona) has shown promise as an effective and efficient optimization technique for calibrating watershed models. Exp...

Future cars will be integrated in large information systems, where various kinds of information might be sent to and from a car. Beyond information about the current traffic condition or weather forecast, cars should also offer access to the Internet, enabling electronic commerce or mobile commerce such as online banking and online brokerage, and various other applications. In order to handle t...

A scale-invariance analysis of space and time rainfall events monitored by meteorological radar over the area of Rome (Italy) is proposed. The study of the scale-invariance properties of intense precipitation storms, particularly important in flood forecast and risk mitigation, allows to transfer rainfall information from the large scale predictive meteorological models to the small scale hydro...

Information required for decision-making in complex applications, such as flood forecast or maritime surveillance, can be represented using a mathematical function. However, due to the complexity of the considered applications and their dynamics, the parameters involved in the mathematical function can be hard to value a priori. This paper first introduces the mathematical function representing...

Better understanding of the physics of natural systems, the power of information technology and remote sensing tools, and the advances in statistics and simulation of complex nonlinear systems have revolutionized the way civil and environmental engineers approach traditional and new challenges. This paper describes new developments in the area of distributed rainfall and flood forecasting over ...

We examine the use of El Niño-Southern Oscillation (ENSO) forecasts for flood planning in the Pacific Northwest. Using theories of resource mobilization as a conceptual foundation, the paper relies on: 1) case studies of three communities vulnerable to flooding that have had access to long-term forecasts of ENSO conditions; and 2) analysis of data collected from a survey of nearly 60 local emer...

The HYDROPTIMET Project, Interreg IIIB EU program, is developed in the framework of the prediction and prevention of natural hazards related to severe hydrometeorological events and aims to the optimisation of HydroMeteorological warning systems by the experimentation of new tools (such as numerical models) to be used operationally for risk assessment. The objects of the research are the mesosc...

The snow cover in lower mountain areas is often a very dynamic matter. For flood forecast, but also for continuous water balance modelling, a detailed knowledge of the snow cover, its temporal dynamics and current snow properties is essential. According to this, modelling of the snow cover is a constituent part of applied water balance models. To drive and calibrate the models, spatial measurem...