Digital Commons Network^™

An Application Of Geographical And Statistical Linked Data To Ecology: The Brazilian Cerrado Ontology Network And Qualitative Reasoning Models, Adriano Souza, Oscar Corcho, Paulo Salles, Luis Vilches-Blázquez

International Congress on Environmental Modelling and Software

This work aims to link data about wood plant communities obtained from scientific studies about the Brazilian Cerrado biome, meteorological and environmental data, geographical information (maps) and Qualitative Reasoning (QR) conceptual models. An ontology network was developed in order to integrate data from different sources. Data Cube, AEMET, GeoSPARQL, and Time ontologies and QR formalism were used as general ontologies. In addition, two domain ontologies--Cerrado Concepts and Wood Plant Dynamics Ontology (Ccon) and Fire Ontology (Fire)--were developed to represent scientific knowledge about vegetation ecology focused on vegetation dynamics under different burning regimens. Datasets provided by Brazilian geovernment agencies and those …

An R Package For Implementing Multiple Evapotranspiration Formulations, Danlu Guo, Seth Westra, Holger R. Maier

International Congress on Environmental Modelling and Software

The use of multiple evapotranspiration (ET) models is critical for exploring the ambiguity in the representations of ET processes. Although ensemble ET models are increasingly used to address this ambiguity, practical issues include: 1) the diversity of process representations, which require different input data and constants; 2) the diversity of nomenclature, terminology and units used in the literature; and 3) the complexity of some formulations, requiring significant time for coding and leading to potential user errors. We describe an R package that estimates both actual and potential ET from 17 well-known formulations. Results are presented as summary text and plots, …

Investigating Mobility Styles Using Smartphones: Advantages And Limitations According To A Field Study In Southern Switzerland, Andrea E. Rizzoli, Roman Rudel, Anna Förster, Giorgio Corani, Francesca Cellina, Luca Pampuri, Roberto Guidi, Andrea Baldassari

International Congress on Environmental Modelling and Software

Diffusion of smart mobile devices offers unprecedented opportunities to monitor travel behaviour, by means of the GPS devices they are equipped with: using a suitable application, potentially every smartphone owner can produce huge, inexpensive quantities of data suitable to profile her mobility patterns. We take advantage of this opportunity within the e-mobiliTI project, which aims at analysing the main psychological and behavioural barriers affecting the transition to new mobility solutions. The project sets up a "living lab" made up of around twenty families and gives them the opportunity to test electric cars and bikes, public transport season tickets and car …

Using Surrogate Modelling For Fast Estimation Of Water Budget Component In A Regional Watershed, Aurelien Hazart, Koji Mori, Kazuhiro Tada, Hiroyuki Tosaka

International Congress on Environmental Modelling and Software

We developed a method based on surrogate modelling to estimate the water flow in both surface and subsurface sections of a basin watershed. The real case of a regional watershed near Tokyo with a catchment area of 100km² was targeted with observations on a period of about 16 years. Our purpose was to propose a tool of water resources management that can be operated daily by the person in charge of a watershed without expert knowledge of the numerical modelling process. Replacement of complex physical models by surrogate models like artificial neural networks (ANN) has been proved useful in …

Abstractions From Sensor Data With Complex Event Processing And Machine Learning, Markus Stocker, Mauno Rönkkö, Mikko Kolehmainen

International Congress on Environmental Modelling and Software

Environmental knowledge systems that build on sensor-based environmental monitoring rely on techniques in knowledge acquisition and representation to interpret the numbers obtained in measurement for what they tell about the monitored environment. Languages and systems in knowledge representation and reasoning, specifically Semantic Web technologies, support the formulation and execution of rules, a technique that enables deductive inference in a knowledge base. This technique has been used to demonstrate inference on sensor data. While the approach certainly has its merits, it is often demonstrated for numerical thresholds and, thus, for relatively trivial “semantic enrichment.” In reality, knowledge acquisition tasks of interest …

Integrating Raster And Vector Spatial Representations With Interaction Graphs For Multi-Scale Environmental Simulations, Mathieu Castets, Pascal Degenne, Pascal Poncelet, Danny Lo Seen

International Congress on Environmental Modelling and Software

Nowadays, developing tools for modelling complex system is a mandatory issue in environmental research. Environmental modelling implies taking into account processes at different scales of space and time. Ocelet is a domain specific environmental modelling language that uses graphs to describe how spatial entities in the system interact, with functions attached to the arcs of the graphs that are activated within scenarios to represent the dynamics of the system. The language has a strong focus on spatial interactions where the vector format is used for attributing geometries to entities, thus allowing a precise description of their shapes. However, the vector …

Interactive Web-Based Flood Modeling At Country Wide Scale And Plantar Size Resolution, Fedor Baart, Jack Ha, Arthur Van Dam, Gennadii Donchyts, Martijn Siemerink

International Congress on Environmental Modelling and Software

The flooding of rural and urban areas is an increasing hazard to society. Accurate and timely predictions are essential for the water manager to prepare and respond to these hazards. Predicting flooding requires a numerical model that represents the physical processes (rain, evaporation, infiltration, overland flow, groundwater flow). This model, fed with measurements, and possible measures, calculates the expected flooding. The traditional working method consists of a three step process: schematization setup, running and post-processing, with a total feedback time of hours. This process is suitable for confirmatory modeling. Most of the time, models are applied exploratory, requiring a different …

Towards An Ontology For Situation Assessment In Environmental Monitoring, Markus Stocker, Mauno Rönkkö, Mikko Kolehmainen

International Congress on Environmental Modelling and Software

Situation assessment, i.e. the process of achieving situation awareness, is common in environmental monitoring, where assessment occurs predominantly on sensor data and awareness is for the state of environmental phenomena. For a particular location, an environmental monitoring system may measure and compute mean hourly PM2.5 concentration to acquire knowledge for situations of unhealthy exposure by humans to ambient air; it may measure aerosol particle size distribution to acquire knowledge for situations of atmospheric new particle formation; it may measure road-pavement vibration to acquire knowledge for traffic. The process can be divided in four generic sub processes, namely data acquisition, data …

Eliciting Stakeholder Preferences Through Nonmarket Valuation Techniques, Marit E. Kragt

International Congress on Environmental Modelling and Software

To successfully predict the impacts of environmental change, modellers need to incorporate analyses of human behaviour into their predictions. The engagement of stakeholders, including participatory model development, is now widely advocated as an approach to account for stakeholder preferences. While participatory approaches are suitable to involve targeted stakeholder groups and technical experts, it is typically prohibitively expensive to engage a wide range of communities in the model development process. Many environmental modellers may be aware of social science research methods to participatory research. Socio-economic approaches to elicit stakeholder preferences are, however, less commonly used. This paper presents three stated preference …

Evolutionary Computation And Case-Based Reasoning Interoperation In Iedss Through Gesconda, Miquel Sànchez-Marrè, Gibert Karina, Radha K. Vinayagam, Beatriz Sevilla-Villanueva

International Congress on Environmental Modelling and Software

Interoperability of Intelligent Environmental Decision Support Systems (IEDSS) is one open challenge in the IEDSS field. This paper shows the interoperability of Evolutionary Computation, concretely Genetic Algorithms (GA), and Case-Based Reasoning (CBR) in IEDSS through the GESCONDA tool. GESCONDA is a tool for the deployment of Intelligent Decision Support Systems. This interoperability has been tested with several domains with different purposes like classification tasks, predictive tasks, etc. In the paper, the application in one environmental domain is described and analysed. The experimentation results indicate that this interoperation of both methods can improve the results of the application of one single …

Using Semantic-Based Spatial Reclassification For Interoperable Data Management In Natura 2000 Monitoring, Simon Nieland, Niklas Moran, Birgit Kleinschmit, Michael Förster

International Congress on Environmental Modelling and Software

In various fields of spatial research, semantic heterogeneity remains an unsolved problem in terms of data comparability. Interoperability of biodiversity monitoring information is especially difficult because of its thematic complexity and the high variability of acquisition methods and national differences in nomenclatures. Each EU member state must compile comprehensive information on protected areas every six years to comply with the reporting obligations of the habitats directive. Since data collection methods and interpretation manuals broadly vary by member state and manual delineation of protected areas can never be neutral, there is a need for automatized, objective methodologies for the generation of …

Life Cycle Fragments: Development Of An Online Tool For Curating And Sharing Life, Brandon Kuczenski

International Congress on Environmental Modelling and Software

Increasingly, policy makers and consumers demand information on the environmental implications of industrial activities. Life cycle assessment (LCA) is a standardized methodology to relate the delivery of products and services to the potential environmental impacts from that delivery, both directly and throughout the industrial supply chain. LCA requires extensive information about industrial processes throughout the global economy, and is subject to substantial parametric and epistemic uncertainty. Moreover, results often hinge on modeling decisions, such as the selection of system outcomes. Comparative results from a single study can give policy-relevant insights only if it is possible to review the sensitivity of …

A New Evaluation Framework For Input Variable Selection Algorithms Used In Environmental Modelling, Greer B. Humphrey, Stefano Galelli, Andrea Castelleti, Holger R. Maier, Graeme C. Dandy, Matthew S. Gibbs

International Congress on Environmental Modelling and Software

Input variable selection is an essential step in the development of statistical models and is particularly relevant in environmental modelling, where potential model inputs often consist of time lagged values of each different potential input variable. While new methods for identifying important model inputs continue to emerge, each has its own advantages and limitations and no method is best suited to all datasets and purposes. Nevertheless, rigorous evaluation of new and existing input variable selection methods, is largely neglected due to the lack of guidelines or precedent to facilitate consistent and standardised assessment. This rigorous evaluation would allow the effectiveness …

The Smarth2o Project And The Role Of Social Computing In Promoting Efficient Residential Water Use: A First Analysis, A. E. Rizzoli, A. Castelleti, A. Cominola, P. Fraternali, A. Diniz Dos Santos, B. Storni, R. Wissmann-Alves, M. Bertocchi, J. Novak, I. Micheal

International Congress on Environmental Modelling and Software

SmartH2O is an EU funded project which aims at creating a virtuous feedback cycle between water users and the utilities, providing users information on their consumption in quasi real time, and thus enabling water utilities to plan and implement strategies to reduce/reallocate water consumption. Traditional metering data, usually gathered twice a year, can be used to model consumers' behaviour at an aggregate level, but the motivations and individual attitudes of consumers are hidden. The advent of smart water meters allows gathering high frequency consumption data that can be used to provide instantaneous information to water utilities on the state of …

The Use Of Object-Oriented Programming Concepts For Documenting A Model Ensemble, Georgii A. Alexandrov

International Congress on Environmental Modelling and Software

The spread of cloud computing services gives community modelling a reasonable opportunity to become a reality in scientific research. However, even if models will be deployed in clouds, and model codes will be open for re-use, there will be little progress in community modelling in the lack of consensus standards for model documentation. This paper is to discuss a conceptual framework for developing such standards. The proposed conceptual framework is based on the idea that a new model is often a modification of an old one, and hence, the similarities between the models of the same environmental process could be …

Evaluation Of Metamodeling Techniques On A Co2 Injection Simulation Study, Jared Schuetter, Srikanta Mishra, Doug Mooney

International Congress on Environmental Modelling and Software

Full-physics models for geologic carbon sequestration applications can be time-consuming to run. As a result, optimization of a particular response over a range of predictor values can be difficult. A common approach is to use a small number of simulation runs to develop a metamodel that can approximate the system response with much less computing time; this metamodel can then be used for optimization. Choosing a metamodeling approach is not always straightforward, and it can also be difficult to determine how well a model is fitting after it is trained. Here, we present a case study for a CO_{2 …}

Environmental Fluid Mechanics At Iemss Conferences (2002-2014), Carlo Gualtieri, Dragutin T. Mihailoviĉ

International Congress on Environmental Modelling and Software

Environmental Sciences encompass issues such as climate change, conservation, biodiversity, water quality, groundwater contamination, soil contamination, use of natural resources, waste management, sustainable development, disaster reduction, air pollution, and noise pollution. Within this broad and inherently interdisciplinary field, Environmental Fluid Mechanics (EFM) is the scientific study of naturally occurring fluid flows of air and water on our planet Earth, especially of those flows that affect the environmental quality of air and water, with scales of relevance, which are ranged (i) spatially from millimetres to kilometres, and (ii) temporally from seconds to years.

The paper presents a comprehensive review of the …

Discovering Comprehensible Hydrogeological Profiles In The Margarita Island's Aquifers Including Post-Processing In A Data Mining Process, Conti Dante, Gibert Karina

International Congress on Environmental Modelling and Software

Groundwater wells are one of the most important water resources in the world. Control and management of these resources are of high importance due to the implicit need of water as the main resource for life. This research focuses on a hydrogeological analysis with clustering, which is one of the most popular data mining methods, including In the classical data mining scheme, last step corresponds to the effective production of knowledge. In this paper, special focus on that part is done, by means of post-processing tools. The main goal is to discover prototypical profiles from the acquifer Pedro González in …

Predicting Citation Counts Of Environmental Modelling Papers, Barbara J. Robson, Aurélie Mousquès

International Congress on Environmental Modelling and Software

We assessed all papers published in two key environmental modelling journals in 2008 to determine the degree to which the citation counts of the papers could be predicted without considering the paper's quality. We applied both random forests and general additive models to predict citation counts using a range of easily quantified or categorised characteristics of the papers as covariates. The more highly cited papers were, on average, longer, had longer reference lists, had more authors, were more likely to have been published in Environmental Modelling and Software and less likely to include differential or integral equations than papers with …

Quantifying Enso Impacts At The Basin Scale Using The Iterative Input Variable Selection Algorithm, Ludovica Beltrame, Daniele Carbonin, Stefano Galelli, Andrea Castelletti, Matteo Giuliani

International Congress on Environmental Modelling and Software

Medium-to-long range streamflow predictions provide a key assistance in anticipating hydro-climatic adverse events and prompting effective adaptation measures. In this context, recent modelling efforts have been dedicated to seasonal and inter-annual predictions based on the teleconnection between at-site hydrological processes and large-scale, low-frequency climate fluctuations, such as El Niño Southern Oscillation (ENSO). This work proposes a novel procedure for first detecting the impact of ENSO on hydro-meteorological processes at the basin scale, and then quantitatively assessing the potential of ENSO indexes for building medium-to-long range streamflow prediction models. Core of this procedure is the adoption of the Iterative Input variable …

Using Genetic Algorithms To Fit Species And Habitat Parameters For Modelling The Effect Of Climate Change On Species Distributions With Stochastic Patch Occupancy Models, Gary Polhill, Alessandro Gimona

International Congress on Environmental Modelling and Software

Standard approaches to modelling the effect of climate change on species distributions model a direct link between climatic and other biophysical variables and species occupancy. Though these provide a reasonable estimate for the effects of climate change on species distributions in the future, there are a number of issues with these approaches that fail to account for dynamic landscape interactions. For example, the mass occupancy effect means that species may be observed in unsuitable habitat patches surrounding a well-populated area of highly suitable patches. Conversely, a highly suitable area may be too disconnected from other suitable patches to allow long-term …

A Simple And Effective Approach To Global Sensitivity Analysis Based On Conditional Output Distributions, Francesca Pianosi, Thorsten Wagener

International Congress on Environmental Modelling and Software

Predictions of environmental models are affected by unavoidable and potentially large uncertainty. When models are applied to understand dominant controls of the system under study, uncertainties will reduce our ability to choose between competing hypotheses. When they are used to support decision-making, uncertainties will reduce our ability to discriminate between different management options and undermine the defensibility of the decision-making process. Global Sensitivity Analysis (GSA) provides quantitative information about the contribution to the uncertainty in the model output arising from different input factors like, for instance, model parameters, boundary conditions or forcing data. GSA thus provides insights into the model …

Modelling Spatial Relationships Between Ecosystem Services And Agricultural Production In An Agent- Based Model, Changxing Dong, Mark Brady, Yann Clough, Ullrika Sahlin, Christoph Sahrbacher, Martin Stjernman

International Congress on Environmental Modelling and Software

The collective impacts of farmers’ land management decisions on above ground ecosystem services (ES) and their implications for agriculture are poorly understood. Managing habitat to provide ES is costly but at the same time it can support higher yields through, e.g., pollination or natural pest control. Due to the mobility of ES-providers (bees, natural enemies) farmers providing habitat might also benefit their neighbours, creating interdependencies among their decisions. Interdependencies among farmers’ land-use decisions and the flow of ES in space can be considered by integrating agent-based modelling and evidence-based ES models. Such integration requires a trade-off between the land-use details …

Accounting For Groups Of Animals In Qmra Of Recreational Waters, Richard W. Muirhead, Vanessa M. Cave

International Congress on Environmental Modelling and Software

The development of QMRA for recreational waters often involves assessing the inputs from multiple sources, including human sewage, agricultural sources and wild animals. The concentrations of microorganisms in faeces from individual animals are highly variable leading to a broad spectrum of risk. When modelling the load of faecal microbes from a group of animals, based on data from individuals, the group distribution must be correctly accounted for. A further complication to QMRA is that pathogen concentrations in faeces have a high proportion of non-detects making them difficult to model using standard mathematical distributions. Moreover, when only limited concentration data are …

The Effect Of Recovery On Modeling Inactivation Of Bacillus Spores On Hvac Filters, Bharathi Murali, Jade Mitchell

International Congress on Environmental Modelling and Software

The ability of microorganisms to persist on fomite surfaces is an important component in modeling their spread in physical environment. For example, Bacillus anthracis (Ba) spores have been found to be extremely resistant to inactivation, environmental stresses, and stable over decades. Modeling the inactivation of spores could form an integral element for estimating the exposure and the subsequent health risks posed by them. However, there is a knowledge gap in the quantification of recovery of Bacillus spores on porous surfaces, which may have a significant effect on the quantification of their persistence in the environment. Our work investigates the recovery …

Defining The Spatiotemporal Surveillance Space For Alien Species' Invasions Using Approximate Bayesian Computation, Grant Hamilton, Rune Rasmussen, Jana Mullerova, Jan Pergl, Petr Pysek

International Congress on Environmental Modelling and Software

The spatiotemporal dynamics of an alien species invasion across a real landscape are typically complex. While surveillance is an essential part of a management response, planning surveillance in space and time present a difficult challenge due to this complexity. We show here a method for determining the highest probability sites for occupancy across a landscape at an arbitrary point in the future, based on occupancy data from a single slice in time. We apply to the method to the invasion of Giant Hogweed, a serious weed in the Czech republic and throughout Europe.