modelling software

While non-point nutrient loads are important determinants of biological productivity in Southeastern Piedmont impoundments, productivity can be attenuated by concomitant sediment loads that reduce the biological availability of these nutrients. A biogeochemical model is proposed ...

In recent years the field of Business Process Modelling (BPM) has gained increasing attention from both the business and research communities. One of the primary drivers for BPM is the improved understanding of business processes, improved communication and the competitive advantage gained over competitors. BPM is a collaborative activity that needs to be carried out in a team environment, and Collaborative Business Process Modelling (CBPM) promotes improved accuracy and quality of process models. In spite of the increased popularity of CBPM, there is limited research related to the collaborative nature of the modelling tasks performed by modellers and specifically to the synchronisation of shared process models. The main research problem addressed by this study is that modellers experience difficulties conducting BPM activities in a co-located collaborative environment. The first research question addressed relates to the benefits and challenges of CBPM, whilst the second research question involves identifying the critical success factors and measures for CBPM. A survey of modellers in South African Information Technology (IT) consulting companies is reported on in order to provide a more in-depth understanding of the status, benefits and challenges of CBPM in IT consulting organisations. The survey results revealed that CBPM provides for sharing of ideas and increased understanding of the processes being modelled. Several challenges were reported with regards to the integration and synchronisation of models. The study provides a valuable contribution to the field of process modelling and will assist IT management with understanding the problems and challenges involved in CBPM. Analysis of these factors can contribute to the improved planning for CBPM. This in turn can facilitate improve BPM in organisations thereby providing them with a competitive edge.

... using the SNAP (Selected Nomenclature for Sources of Air Pollution) classification scheme ... largest part of computer power are: meteorological downscaling (Section 3.2) and air quality modelling (Section ... RAMS is a parallel code realised using MPI techniques and it takes about ...

In this paper, the results obtained by inter-comparing several statistical techniques for modelling SO2 concentration at a point such as neural networks, fuzzy logic, generalised additive techniques and other recently proposed statistical approaches are reported. The results of the inter-comparison are the fruits of collaboration between some of the partners of the APPETISE project funded under the Framework V Information Societies and Technologies (IST) programme. Two different cases for study were selected: the Siracusa ...

Agriculture and deforestation contribute approximately one third of global greenhouse gas emissions. Major sources of emissions in this sector are from loss of soil carbon due to repeated soil disturbance under typical crop cultivation, fossil fuel use in the production of synthetic fertilisers, direct and indirect soil nitrous oxide emissions from fertiliser application, pesticide manufacture and use, and fossil fuel

This article evaluates an infrared-based satellite algorithm for rainfall estimation, the Convective Stratiform technique, over Mediterranean. Unlike a large number of works that evaluate remotely sensed estimates concentrating on global measures of accuracy, this work examines the relationship between ground truth and satellit0e derived data in a local scale. Hence, we examine the fit of ground truth and remotely sensed data on a widely adopted probability distribution for rainfall totals–the mixed lognormal distribution–per ...

In response to the increasing loss of native vegetation and biodiversity, a growing number of countries have adopted “offsetting” policies that seek to balance local habitat destruction by restoring, enhancing and/or protecting similar but separate habitat. Although these policies often have a stated aim of producing a “net gain” or “no net loss” in environmental benefits, it is challenging to determine the potential impacts of a policy and if, or when, it will achieve its objectives. In this paper we address these questions with a general approach that uses predictive modelling under uncertainty to quantify the ecological impacts of different offset policies. This is demonstrated with a case study to the west of Melbourne, Australia where a proposed expansion of Melbourne’s urban growth boundary would result in a loss of endangered native grassland, requiring offsets to be implemented as compensation. Three different offset policies were modelled: i) no restrictions on offset locat...