Computer Engineering Commons^™

Design And Implementation Of Integrated Surveillance And Modelling Systems For Climate- Sensitive Diseases, Michael C. Wimberly, Justin Davis, Geoffrey M. Henebry, Michael B. Hildreth, Yi Liu, Christopher L. Merkord

International Congress on Environmental Modelling and Software

Climatic variations can have a multitude of impacts on human health, ranging from the direct impacts of extreme heat events to indirect effects on the vectors and hosts that transmit a multitude of infectious diseases. Infectious disease surveillance has traditionally focused on monitoring human cases, and in some instances tracking population sizes and infection rates of arthropod vectors and zoonotic hosts. For climate-sensitive diseases, there is potential to strengthen surveillance and obtain early indicators of future outbreaks by monitoring environmental risk factors using broad-scale sensor networks that include earth-observing satellites as well as ground stations. We highlight the opportunities and …

Simulating Structural Change In Agriculture: Modelling Farming Households And Farm Succession, Christian Troost, Thomas Berger

International Congress on Environmental Modelling and Software

The majority of European farms are family farms. Farm succession, i.e. passing over the responsibility from farm owner and manager to their heir, is an important element of structural change in agriculture. We present a model implementation capturing farming household evolution in an agent- based model and explore the consequences of farm household composition and farm succession on agricultural production, investment and participation in agri-environmental policy schemes.

A Dynamic Water Supply Portfolio Optimisation Approach, Michael G. Porter, Oz Sahin

International Congress on Environmental Modelling and Software

This paper examines the future water supply situation in Adelaide, a relatively dry city in South Australia, in the driest populated continent on earth. Using the Systems Approach, we analyse a diversified strategy with a new portfolio mix of core bulk water: (i) rainfall independent desalinated water from the ocean and (ii) rainfall dependent water from catchments including the Mount Lofty Ranges (MLR) and water piped from the Murray‐Darling Basin (MDB) including via the Mannum‐Adelaide Pipeline. Our focus is on the quantity, indicative costs and risks of water supply, and associated augmentation choices and trade‐offs, over the next century to …

Modelling Urban Transition: A Case Of Rainwater Harvesting, Adam C. Castonguay, Christian Urich, Md Sayed Iftekhar, Ana Deletic

International Congress on Environmental Modelling and Software

Cities are increasingly exposed to extreme climate events such as floods and droughts. Land use change is also expected to reduce the availability of green spaces and intensify extreme heat events. Given these pressures on the quality of life of urban dwellers, there is a great need to improve the integrated management of water to enable sustainable development of rapidly growing cities and improve human well-being. A promising way to make urban communities more liveable is to invest in green water technologies, that is, decentralised and low-energy water supply, wastewater and stormwater solutions, to foster the transition to more sustainable …

An Optimization Approach To Define Effective Air Quality Policies At Urban Scale, Helder Relvas, Ana Isabel Miranda, Joana Ferreira, Alexandra Monteiro, Enrico Turrini, Claudio Carnevale, Marialuisa Volta

International Congress on Environmental Modelling and Software

The use of modeling to support environmental authorities to plan air quality control policies is now quite widespread in Europe. At the sub-national level, the most common approach is based on a scenario analysis which uses Chemical Transport Models (CTM) to assess the impact of emission reductions on air pollution concentrations. In this work, a multi-objective approach based on RIAT+ (Regional Integrated Assessment Tool) is used to cost-efficiently define air quality improvement policies. Internal costs (due to the implementation of emission reduction measures) and external benefit gains (due to the reduction of population exposure to air pollution levels) are worked …

A Better Way To Build Plant Models, Dean Holzworth, Hamish Brown, Neil Huth

International Congress on Environmental Modelling and Software

The plant modelling framework (PMF) in the next generation of APSIM enables plant models to be constructed in a novel, more reliable and robust manner. It provides a library of small processes that can be aggregated into bigger processes which in turn can be combined into larger constructs, ultimately forming a plant model. The user interface supports a workflow that allows the model builder to collate and store experimental data, construct the model (by process aggregation), create and run simulations of the experimental data and graphically view the performance of the model. The model builder can then iteratively modify the …

Towards Standard Variable Names For Environmental Chemistry: Semantic Mediation And Extensions To The Csdms Standard Names, Scott Dale Peckham

International Congress on Environmental Modelling and Software

When a model needs to obtain the values of its input variables from another model or from a data file, it is necessary to reliably match the internal vocabularies of the coupled resources (e.g. models or data sets). In addition, spatial regridding, time interpolation and unit conversion may be required. In order to automate this semantic matching and variable exchange process in a model coupling framework, the internal vocabularies of the resources to be coupled must be mapped to a controlled vocabulary in a hub-and-spoke manner. The CSDMS Standard Names provide a domain-independent set of conventions and rules for constructing …

How Modellers Frame Uncertainty In Scientific Publications: Review And Reflections, Joseph H.A. Guillaume, Casey Helgeson, Sondoss Elsawah, Anthony J. Jakeman, Matti Kummu

International Congress on Environmental Modelling and Software

Uncertainty is recognised as an essential issue in environmental modelling. As modellers, we notably use a variety of tools and techniques within an analysis, for example related to uncertainty quantification and model validation. We also address uncertainty by how we present results. For example, experienced modellers are careful to distinguish robust conclusions from those that need further work, and the precision of quantitative results is tailored to their accuracy. In doing so, the modeller frames how uncertainty should be interpreted by their audience. This is an area which extends beyond modelling to fields such as philosophy of science, semantics, discourse …

Modelling Combinations Of Economic Instruments To Eliminate Depletion In The Alto Guadalentín Aquifer (Se Spain), David Martínez-Granados, Javier Calatrava

International Congress on Environmental Modelling and Software

This paper analyses the cost-effectiveness of combining several policy instruments to address the problem of non-renewable pumping in the Alto Guadalentín aquifer in Southeast Spain, one of the most extreme cases of aquifer depletion in Europe. Their economic impact is assessed using a partial equilibrium non-linear mathematical programming model that maximises the farm net margin resulting from the use of the available water resources for irrigation in the area. Our results show that all the alternatives have significant economic impacts, although the future availability of desalinised resources would notably mitigate them, as farmers can substitute groundwater with desalinised water. …

Integration Of Models For Low Carbon Economy, Getachew F. Belete, Alexey Voinov

International Congress on Environmental Modelling and Software

Designing the transition to low carbon economy is a very complex task that touches upon a wide variety of climate-energy-economic systems. We need to explore the various possible climate mitigation scenarios at different temporal and spatial scales. However, due to the diversity of the involved disciplines it is difficult to find one complete and unified modeling approach that works equally well in all those different domains. As a result we have to select 'appropriate' models, which represent only specific aspects of the scenarios and assemble them 'coherently'. In this research we have identified some challenges in integrating multidisciplinary models; and …

A Decision Support System Approach For Identifying Poliutant Source For Optimization Of Beneficial Management Practices Scenario Modelling In Lake Winnipeg Watersheds, Isaac Wong, Luis Leon, Jason Vanrobaeys, Craig Mccrimmon, Phil Fong

International Congress on Environmental Modelling and Software

The Soil and Water Assessment Tool (SWAT) results can be used to source trace loading "hotspots• for optimally locating beneficial management practices (BMP). It is possible to trace upstream and compute the relative contribution of each sub-basin to a point of interest, accounting for in-stream processes, reservoirs and point sources. A decision support system (DSS) framework was developed to run SWAT, perform the otherwise tedious process of source tracing "hotspots" and to optimize BMP locations. The "Crop to Hay- land use change BMP scenario was applied in an attempt to reduce annual loadings of total phosphorus (TP) for three Lake …

Agroecosystem-Watershed (Ages-W) Model Delineation And Scaling, Timothy R. Green, Robert H. Erskine, James C. Ascough Ii, Bruce Vandenberg, Björn Pfennig, Holm Kipka, Olaf David, Micheal L. Coleman

International Congress on Environmental Modelling and Software

Water movement and storage within an agricultural watershed can be simulated at different spatial resolutions of land areas or hydrological response units (HRUs). Interactions between HRUs in space and time vary with the HRU sizes, such that natural scaling relationships are confounded with the simulation scales. Scaling concepts can be tested using the AgroEcoSystem­ Watershed (AgES-W) model with different resolutions of HRUs. Here, we delineated a 56-ha agricultural watershed in northern Colorado, USA farmed primarily under a wheat-fallow rotation. Factors used to distinguish HRUs included topography (surface flow paths), land use (crop strips and native grass), and mapped soil units …

Global Sensitivity Analysis Of Key Parameters In A Process-Based Sugarcane Growth Model - A Bayesian Approach, Justin Sexton, Yvette Everingham

International Congress on Environmental Modelling and Software

While several statistical methods are available to analyse model sensitivity, their application to complex process-based models is often impractical due to the large number of simulation runs required. A Bayesian approach to global sensitivity analysis can greatly reduce the number of simulation runs required by building an emulator of the model which is less computationally demanding. A Gaussian Emulation Machine (GEM) was used to efficiently assess the sensitivity of key agronomic outputs from the APSIM-Sugar crop model to influential input parameters. The sensitivity of simulated biomass and sucrose at harvest was assessed on 14 parameters representing varietal differences and growth …

Dynamic Feedback Between Land Use And Hydrology For Ecosystem Services Assessment, Seleshi Getahun Yalew, Tobias Pilz, Christian Schweitzer, Stefan Liersch, Johannes Van Der Kwast, Marloes L. Mul, Ann Van Griensven, Pieter Van Der Zaag

International Congress on Environmental Modelling and Software

Ecosystem services assessment requires an integrated approach, as it is influenced by elements such as climate, hydrology and socio-economics, which in turn influence each other. However, there are few studies that integrate these elements in order to assess ecosystem services. Absence of integrated approach to modelling hydrological and land-use changes, for instance, often oversights the dynamic feedback between the two processes. Dynamic changes in land-use should be fed into hydrological models and vice-versa at each time-step for a more realistic representation. In this study, this approach is demonstrated with a case study of the uThukela catchment, South Africa. There is …

Ontology Mapping In Semantic Time Series Processing In Climate Change Prediction, Bojan Božić, Jan Peters-Anders, Gerald Schimak

International Congress on Environmental Modelling and Software

In today's time series processing there is more and more a need for addressing diverse user groups interested in a specific domain with appropriate user tailored time series data. The complexity of time series (e.g. involved data from different data sources and/or domains, visualization and representation, etc.) is growing rapidly. As a consequence, it means that users need to find a path through the jungle of time series data. After we have presented our concepts for semantic time series filtering and enrichment of time series with meta-information and annotations (Božić et al., 2012), we are now going to present a …

Metadata Extraction Using Semantic And Natural Language Processing Techniques, Rob Knapen, Thomas Hüsing, Klaus Jacob, Yke Van Randen, Stefan Reis, Onno Roosenschoon, Sander Janssen

International Congress on Environmental Modelling and Software

The World Wide Web and related technologies are playing an increasing role in the field of Integrated Environmental Modelling (IEM). Model integration software frameworks are more and more becoming web-enabled. The technologies and standards of the Web are used to access and run simulation models remotely (known as the Web of models) and are considered for enabling interoperability across model integration frameworks. Furthermore there is a growing number of local and global initiatives to provide open access to environmental data (Web of data) that can potentially be used as input for the scientific models. The availability of descriptive information of …

Improved Implicit Stochastic Optimization Technique For Multireservoir Water Systems Under Drought Conditions, Andrea Sulis

International Congress on Environmental Modelling and Software

Drought is a creeping phenomenon, making its onset and end difficult to determine. Damages from droughts can exceed those resulting from any other natural hazard, although it is difficult to assign a monetary value to them. In the Mediterranean area a severe drought period occurred over the years 2000-2002 and economic losses from that drought exceeded 250 million euros in Sardinia (Italy) (source: ENAS Regional Water Authority). Currently, technological developments and environmental modelling tools are improving our ability to more effectively manage water supply systems. Models can provide decision makers with better and more timely data and information. In this …

Challenges/Advances In Distributed Watershed Modeling: A Review And Application Of The Agroecosystem-Watershed (Ages-W) Model, James C. Ascough Ii, Timothy R. Green, Olaf David, Holm Kipka, Gregory S. Mcmaster, Manfred Fink, Peter Krause, Sven Kralisch

International Congress on Environmental Modelling and Software

Progress in the understanding of physical, chemical, and biological processes influencing water quality, coupled with advances in the collection and analysis of hydrologic data, provide opportunities for significant innovations in the manner and level with which watershed-scale processes may be quantified and modeled. This paper first provides a brief review of current challenges and advances in distributed watershed modeling including quantifying and coping with the uncertainty, data availability, influence of data resolution and scaling issues, and the use of environmental modeling frameworks that help maintain model modularity, reusability, and interoperability (or compatibility). Important findings and observed trends from this work …

Linking A Modified Epic-Based Plant Growth Model (Upgm) With A Component-Based Watershed Model (Ages-W), Gregory S. Mcmaster, James C. Ascough Ii, Debora A. Edmunds, Olaf David, Larry E. Wagner, Fred A. Fox, Robert H. Erskine, Holm Kipka, Timothy R. Green

International Congress on Environmental Modelling and Software

Agricultural models and decision support systems (DSS) for assessing water use and management are increasingly being applied to diverse geographic regions at different scales. This requires models that can simulate different crops, however, very few plant growth models are available that "easily" can simulate the growth of many common and alternative crops. One option available is a suite of plant growth models based on the original plant growth model used in EPIC (Erosion Productivity Index Calculator). Various versions of the original EPIC plant growth model have been used in other agroecosystem models such as the Wind Erosion Prediction System (WEPS), …

Assessing The Transition To A Low-Carbon Economy Using Actor-Based System-Dynamic Models, Dmitry V. Kovalevsky, Klaus Hasselmann

International Congress on Environmental Modelling and Software

For a comprehensive analysis of climate mitigation policies, Integrated Assessment models (IAMs) of the coupled climate-socioeconomic system are needed. However, while there is general agreement on the physics of the climate system, the dynamics of the socioeconomic system is still the subject of considerable controversy. This has become particularly apparent since the recent global financial crisis. To explore the dynamics of the socio-economic system, a family of socio-economic models is proposed that incorporates the various alternative assumptions regarding the behaviour of the different economic actors that govern the evolution of the socio-economic system. The model family needs to be developed …

Enhancing The Policy Relevance Of Scenarios Through A Dynamic Analytical Approach, Céline Guivarch, Vanessa Schweizer, Julia Rozenberg

International Congress on Environmental Modelling and Software

We present a new dynamic analytical approach for studying scenarios produced by an integrated assessment {IA) model. Our approach involves the analysis of a large number of scenarios, which can better address three principal shortcomings of how uncertainty is traditionally handled in IA scenario studies. The shortcomings are all a result of the prevailing practice of investigating a small number of scenarios and include (1) the ad hoc nature of exploring vast socioeconomic uncertainties with only a small number of scenarios; (2) the conventional representation of alternative scenario typologies as "parallel universes• or "diverging universes•, which provide little insight on …

Development Of A Decision Support Tool To Allocate Irrigation Water On Competitive Basis: Application To Kathiraveli Village, Sri Lanka, Tom Le Cerf, Muhammed A. Bhuiyan

International Congress on Environmental Modelling and Software

This paper focuses specifically on the irrigation field and water supply tanks for ways to improve efficiency of water use and increase the resilience to climatic variability. The purpose of this paper is to develop an excel-based water balance model that will allow the maximum cropping area be planted in the upcoming agricultural season. The model consists of three modules: a crop water requirement calculator that allows the water requirements of specific crops to be compared, a water tank balance model, and a model which simulates the storage in the permanent wetland attached to the irrigation tank. The hydrological computation …

Modelling Biofilm Based Technologies With Activated Sludge Unit Processes: A Short Cut To Performance Simulation?, Noella Jones, Maebh Grace, Eoghan Clifford

International Congress on Environmental Modelling and Software

Biofilm-based passive aeration systems (PAS) have attracted recent attention as alternative, energy efficient and low maintenance technologies in the wastewater sector. However the modelling of biofilm-based PAS offers unique challenges for modellers, particularly where new technologies are not easily simulated using existing commercial modelling software. However, if the modeller is concerned only with simulating "macro" plant performance (e.g. key effluent concentrations and cycle analysis) it may be possible to efficiently model these technologies using "surrogate" unit process systems (e.g. using an activated sludge process to model a biofilm process). The pumped flow biofilm reactor (PFBR); a batch biofilm technology, is …

A Best-Worst Scaling Model Of Climate Change Abatement By Australian Farmers, Marit E. Kragt, Nikki Dumbrell, Fiona Gibson

International Congress on Environmental Modelling and Software

Storing carbon from the atmosphere in terrestrial sinks has been proposed as an important way to mitigate climate change and is a major focus in Australia's climate change policies. Mitigation by changing agricultural practices is seen as a promising way to achieve significant reductions in C02 concentrations. Several policies therefore aim to stimulate farmers to adopt so-called 'carbon farming' practices. However, there is little information about farmers' ability and willingness to adopt carbon farming. We present a best-worst scaling model to analyse farmers' decisions about adopting climate change mitigating practices. Best-worst scaling data was collected through a survey amongst mixed …

Hypothesis Testing For Management: Evolving And Answering Closed Questions Using Multiobjective Visualization, Joseph Kasprzyk, Joseph Guillaume, Joshua Kollat, Chris Danilo

International Congress on Environmental Modelling and Software

In order to use models to understand deeply uncertain future conditions, managers must be able to pose and test hypotheses about their management problems. In Iterative Closed Question Methodology (ICQM), a series of closed questions are used to structure thinking about hypotheses while looking beyond a problem's existing modeling representation. Our research is exploring how ICQM can contribute to a framework called Many Objective Robust Decision Making (MORDM), which uses multiobjective optimization and ensembles of uncertain future states of the world to create and evaluate robust solutions for environmental management. A visualization software tool; AeroVis, has greatly aided implementation of …

The Virtual Learning Commons (Vlc): Enabling Sharing And Innovation For Flexible, Responsive Solutions, Deana D. Pennington, Alida Gándara, Nick Del Rio, Omar Ochoa

International Congress on Environmental Modelling and Software

A key challenge in modeling of complex natural systems is identifying and integrating models and tools that are relevant, but were not developed for the targeted purpose. Modeling resources are proliferating, along with emerging technologies designed to enable discovery and integration of data and models. The goal of the Virtual Learning Commons (VLC) is to improve awareness and understanding of emerging methodologies and technologies, facilitate individual and group evaluation of these for innovative uses, and trace the impact of innovations across research communities. The VLC is funded by the U.S. National Science Foundation, and will be released in 2014. The …

Designing Innovative Linked Open Data And Semantic Technologies In Agro-Environmental Modelling, Rob Lokers, Stasinos Konstantopoulos, Armando Stellato, Rob Knapen, Sander Janssen

International Congress on Environmental Modelling and Software

In recent years, innovative applications exploiting Linked Open Data (LOD) and the Semantic Web have opened up, combined and cross referenced high volumes of high-quality data and created tremendous new opportunities for data users as well as data providers. However, in order to serve the broadest community of users, technologies need to be developed that can manage large, constantly updated datasets and streams that are published in formats that were not designed with cross source linking in mind.

The EU-FP7 project SemaGrow aims to tackle this challenge by developing novel algorithms and methods for querying distributed triple stores, scalable and …

Testing Site-Specific Parameterizations Of Longwave Radiation Integrated In A Gis-Based Hydrological Model, Giuseppe Formetta, Olaf David, Riccardo Rigon

International Congress on Environmental Modelling and Software

Incoming (Rli) and outgoing (Rlo) longwave atmospheric radiation are very important components of the global radiation balance. They influence many hydrological processes such as evapotranspiration, soil-surface temperature, energy balance, and snowmelt. Field measures of Rli and Rlo are extremely rare except for a few sites and experimental watersheds. Many parameterization schemes were proposed in order to model Rli and Rlo by using easily available meteorological observations such as air temperature, relative humidity, incoming solar radiation and cloud cover.

In this work 10 methods of parameterizing clear sky radiation for the estimation of Rli and Rlo were integrated in the GIS …

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 …

Trade-Offs Of Biogas Production: Comparing Crop Ro­Tations Under Different Climate Scenarios, Sven Lautenbach, Martin Volk, Micheal Strauch, Gerald Whittaker, Ralf Seppelt

International Congress on Environmental Modelling and Software

While increasing biofuel production is worldwide on the political agenda, concerns about the involved trade-offs are on the rise. However, the quantification of these trade-offs is typically based on the comparison of a limited number of plausible alternatives. We extended the analysis by applying a multi-objective genetic algorithm to estimate the set of Pareto optimal solutions which de­scribe the trade-offs between the objectives. The Pareto solutions represent the (estimated) best op­tions given the model and the specified control options. Our analysis studied food and fodder based crop rotations and two alternative biogas crop production schemes: a corn based production scheme …