Search results for "modelling."
showing 10 items of 1269 documents
A semi-empirical approach for surface soil water content estimation from radar data without a-priori information on surface roughness
2006
Abstract In this study, the spatial distribution of soil water content in an agricultural area of 30 km 2 in Southern Italy has been estimated by using high-resolution space-borne Synthetic Aperture Radar data. Multi-polarised SAR images acquired during the SIR-C mission in April 1994 have been analysed by using the semi-empirical surface backscattering model derived by Oh, Y., Sarabandi K., Ulaby F.T., 1992. An empirical model and an inversion technique for radar scattering from bare soil surface. IEEE Trans. Geosci. Remote Sensing, 30(2), 370381. A site-specific calibration procedure of the cited model has been proposed to derive soil dielectric constant values without a-priori informatio…
Time series of Cosmo-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites
2012
This paper reports on the results of an Italian project aimed at investigating the use of X-band COSMO-SkyMed (CSK) SAR data for applications in agriculture and hydrology. Existing classification and retrieval algorithms have been tailored to CSK data and time series of crop, leaf area index and soil moisture maps have been retrieved and assessed through the comparison with in situ data collected over three agricultural sites. In addition, the CSK-derived surface parameters have been integrated into crop growth and hydrologic models and the resulting improvements have been assessed. Results indicate that multi-temporal dual-polarized CSK data are very well-suited for agricultural crop class…
Using System Dynamics modelling to frame environmental voluntary commitment programs: the French experience
2021
This study stems from a research project aimed at investigating the factors facilitating and hampering the success of the EVE (Engagements Volontaires pour l’Environnement) program recently launched in France. Similarly to other countries, in which successfully environmental voluntary commitment programs are currently in place (SmartWay in the USA), EVE program aspires to improve transport operators efficiency and to reduce CO2 emissions in the environment. However, the multiple relationships between public and private actors involved in the program (ranging from the program coordinator to transport organisations), the complexity of transport and logistics sector (including the differences …
epiModel: A system to build automatically systems of differential equations of compartmental type-epidemiological models
2011
In this paper we describe epiModel, a code developed in Mathematica that facilitates the building of systems of differential equations corresponding to type-epidemiological linear or quadratic models whose characteristics are defined in text files following an easy syntax. It includes the possibility of obtaining the equations of models involving age and/or sex groups. © 2011.
Facilitating organisational learning through teamwork-based knowledge management: evidence from Spain
2015
[EN] In the context of organisational learning optimisation through knowledge management policies, it is essential to pay careful attention to teamwork design and dynamics. Having these ideas in mind, the aim of our paper is to empirically study whether a number of knowledge management policies related to team design and dynamics facilitate organisational learning processes across the different ontological levels (individual, group, and organisational-institutional). Hence, we propose a model linking teamwork-design based on knowledge management policies (including the sub-dimensions of team composition, team bonding, and team bridging) and organisational learning. We test this model in a s…
Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland
2021
The main purpose of this study is to investigate the relationships between key sources of air pollutant emissions (sources of energy production, factories which are particularly harmful to the environment, the fleets of cars, environmental protection expenditure) and the main environmental air pollution (SO2, NOx, CO and PM) in Poland. Models based on MLP neural networks were used as predictive models. Global sensitivity analysis was used to demonstrate the significant impact of individual network input variables on the output variable. To verify the effectiveness of the models created, the actual data were compared with the data obtained through modelling. Projected courses of changes in t…
Position paper - progress towards standards in integrated (aerobic) MBR modelling.
2020
Membrane bioreactor (MBR) models are useful tools for both design and management. The system complexity is high due to the involved number of processes which can be clustered in biological and physical ones. Literature studies are present and need to be harmonized in order to gain insights from the different studies and allow system optimization by applying a control. This position paper aims at defining the current state of the art of the main integrated MBR models reported in the literature. On the basis of a modelling review, a standardized terminology is proposed to facilitate the further development and comparison of integrated membrane fouling models for aerobic MBRs. ispartof: WATER …
Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks
2019
This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…
Design and implementation of modelling tasks using iPad's: a dual perspective
2016
[EN] This paper presents the design of two experiences to introduce modelling of physical phe-nomena through modelling tasks using iPadR's. Each of the proposals is designed with adi erent vision about modelling. In one case modelling is used as a vehicle to introduceprecise mathematical contents. While, on the other one, we intend to develop an activitythat can help student to improve their modelling competence. Our aim is to present twoproposals to introduce modelling in a ninth or tenth grade classroom
On the origin of the southern Permian Basin, Central Europe.
2000
A detailed study of the structural and stratigraphic evolution of the Southern Permian Basin during latest Carboniferous to Early Jurassic times, supported by quantitative subsidence analyses and forward basin modelling for 25 wells, leads us to modify the conventional model for the Rotliegend-Zechstein development of this basin. The Late Permian-Early Jurassic tectonic subsidence curves are typical for a Permian to Early Triassic extensional stage that is followed by thermal subsidence. However, a purely extensional model is extremely problematic because active faulting during this time is 'minor' and generally hard to document. Using inverse techniques to model the subsidence curves, we q…