Environmental Engineering Commons^™

The Challenges Of Incorporating Urine And Dung Patches In Process-Based Modelling Of Grazed Agricultural Systems, Val O. Snow, Richard J. Eckard, C. Alan Rotz, Ian R. Johnson, Nicholas J. Hutchings

International Congress on Environmental Modelling and Software

Animals are well known to be important in lateral transfers of nitrogen within the farm boundary. Those transfers can be categorised into those that are: (a) primarily random and small- scale dung and urine patches within a grazed paddock, (b) larger and systematic transfers resulting from preferred grazing and resting areas and (c) those that are additionally mediated by management actions such as manure management from housing systems. We review how key simulation models treat the random category of nitrogen transfers and develop recommendations for usage and further development. While urine patches are clearly understood to be important in N …

The Value Of Seasonal Productivity Forecasting In Biodiesel Plans, Giulia Fiorese, Giorgio Guariso

International Congress on Environmental Modelling and Software

Crop productivity is commonly assumed as a deterministic function when developing agricultural plans. Actual data prove however that, even for the same soil at the same location, crop productivity can be better interpreted as a random variable due to the meteorological conditions of the specific year. For the production of biodiesel, crops are easily substitutable and the farmer can chose every year between various alternatives. Without information on the seasonal meteorology, the farmers select the crop to cultivate mainly on the basis of the expected productivity. However, changes in the meteorological situation may result in a reduction in crop profitability. …

Complexity Regularized Hydrological Model Selection, Saket Pande, Liselot Arkesteijn, Luis A. Bastidas

International Congress on Environmental Modelling and Software

This paper uses a recently proposed measure of hydrological model complexity in a model selection exercise. It demonstrates that a robust hydrological model is selected by penalizing model complexity while maximizing a model performance measure. This especially holds when limited data is available. here by a robust model, we mean a model that predicts a variable of interest conditioned on future input forcing better than a model that is fitted on limited data. We demonstrate this on a rainfall-runoff model structure, SAC-SMA, using MOPEX data set of Guadalupe river basin.

Open Source Map Based Software For Photovoltaic System Layout Design, Daniel P. Ames, Kasem Pinthong, Michael Scott, Rohit Khattar, David Solan, Randy Lee

International Congress on Environmental Modelling and Software

This paper presents a new free and open source GIS-based software package, PVDesktop, for designing large or small photovoltaic (PV) energy production systems with the goal of increasing use of alternative energy. PVDesktop considers numerous factors to better reflect the characteristics of landscape specific to the area including site location, time zone, sun path, nearby weather station data, tilt and azimuth angle of the solar panels, and nearby objects such as trees and buildings that may obstruct or shadow solar radiation over the panels. PVDesktop enables the design of a solar panel layout, assesses the solar shade that could reduce …

Uncovering Urban System Interrelations Using Land-Use Scenario Modelling, Steffen Lauf, Birgit Kleinschmit, Dagmar Haase

International Congress on Environmental Modelling and Software

For the conservation as well as the improvement in life quality of human beings, today’s political decision makers are challenged to tackle the complex interactions between human activities and the natural environment. In order to better understanding these interactions, we applied a well- validated land-use change model that integrates demographic and residential dynamics, including a preference-driven choice algorithm to enable the simulation of simultaneously occurring growth and shrinkage processes. We introduce 13 scenarios that combine different assumptions based on demographic and economic development, residential preferences, short-range transit accessibility preferences and planning restrictions. They are applied to test the respective effects …

Physically Based Landslide Susceptibility Models With Different Degree Of Complexity: Calibration And Verification, Giuseppe Formetta, Giovanna Capparelli, Riccardo Rigon, Pasquale Versace

International Congress on Environmental Modelling and Software

Rainfall induced shallow landslides cause significant damages involving loss of life and properties. Predicting shallow landslide susceptible locations is a complex task that involves many disciplines: hydrology, geotechnical science, geomorphology, statistics. Usually to accomplish this task two main approaches are used: a statistical model or a physically based model.

In this paper, three physically based models for landslide susceptibility analysis were integrated in the Object Modelling System (OMS) and tested in real world applications. Models presented have an increasing degree of complexity. Effects of three different hydrological components connected to the stability model and of model parameters optimization were investigated. …

Modeling Of Urban Planning Actions By Complex Transactions On Semantic 3d City Models, Maximilian Sindram, Thomas H. Kolbe

International Congress on Environmental Modelling and Software

Decision support for environmental planning requires the impact analysis of envisaged actions. These actions often are adapted from measures specified in regulations or other legal doc­uments given in natural language. Their realization involves (possibly complex) changes to specific parts of the environment. For example, the energetic retrofitting of a building typically comprises the insulation of the faҫade and replacement of the windows. In general, different actions or combinations of actions can be chosen for the optimization of certain key performance indicators (KPI) like the over­ all energy demand or C0₂ emission of a city district. This requires the assessment …

Intelligent Workflow Systems And Provenance-Aware Software, Yolanda Gil

International Congress on Environmental Modelling and Software

Workflows are increasingly used in science to manage complex computations and data processing at large scale. Intelligent workflow systems provide assistance in setting up parameters and data, validating workflows created by users, and automating the generation of workflows from high-level user guidance. These systems use semantic workflows that extend workflow representations with semantic constraints that express characteristics of the data and analytic models. Reasoning algorithms propagate these semantic constraints throughout the workflow structure, select executable components for underspecified steps, and suggest parameter values. Semantic workflows also enhance provenance records with abstract steps that reflect the overall data analysis method rather …

Automating Data Management And Sharing Within A Large-Scale, Heterogeneous Sensor Network, Jeffery S. Horsburgh, Amber Spackman Jones, Stephanie Reeder

International Congress on Environmental Modelling and Software

Hydrology researchers are collecting data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that require infrastructure for data storage, management, and sharing. Managing streaming sensor data is challenging, especially in large networks with large numbers of sites and sensors. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data product. It also depends on the ability of researchers to share and access the data in usable formats. In this paper …

Integrating Neon Data With Existing Models: An Example With The Community Land Model, Edmund M. Hart, Andrew Fox, Steve Berukoff, T. J. Hoar

International Congress on Environmental Modelling and Software

A central challenge to environmental forecasting in hydrological and land surface modeling is how to integrate multiple data sources over a wide range of spatial scales. Furthermore how can this complex task be achieved in the most productive and reproducible way with a robust informatics architecture? At the National Ecological Observatory Network (NEON) we are collecting a variety of biophysical and biogeochemical measurements which can be used with models to perform temporal forecasting on decadal timescales. To take advantage of this data we are developing a data assimilation framework. Using this framework NEON data can be combined with the Community …

Residential Mobility And Model Complexity - An Agent-Based Modelling Experiment On A Small Shrinking Town In Eastern Germany, Carsten M. Buchmann, Nina Schwarz

International Congress on Environmental Modelling and Software

Residential mobility is one of the major drivers of urban land use change. For urban planning it is therefore essential to understand patterns of population distribution and residential mobility in cities. Agent-based modelling has been found to be the most suitable method to investigate the complex interplay of processes, including individual location decisions. While numerous of such models have been developed in recent years, the challenge of adequate model complexity is still a hot topic. In this talk we present an agent-based model on residential mobility in the shrinking town Delitzsch in eastern Germany. The model is parameterized by a …

Geospatial Workflow Process For Modelling Complex Land Use Cover Change, Isaac Kwadwo Nti, Philip Sallis

International Congress on Environmental Modelling and Software

The challenge of modelling the ever changing land use cover (LUC) of the earth has resulted in the creation of diverse models to depict these variations. Most of the land use cover change (LUCC) models were developed for either specific projects or locations; therefore, they are not generic. Also, most of the current LUCC models have been applied to only one LUC class which is less complex, e.g. urban growth or at most two LUC classes.

This work investigated existing LUCC models with the aim of finding a generic geospatial workflow process approach for modelling complex LUCC so that the …

Linking Bayesian Belief Networks And Gis To Assess The Ecosystem Integrity In The Brazilian Amazon, Peter Verweij, Margareth Simoes, Andrei Alves, Rodrigo Ferraz, Anouk Cormont

International Congress on Environmental Modelling and Software

Deforestation and climate change heavily impact the ecosystem of the Amazon rainforest threatening its resilience and the sustainability of many human activities. Land protection may prevent ecosystems and their services to deteriorate from the pressures of agricultural expansion, population growth and wood harvesting. In the Brazilian Amazon land protection occurs in several forms such as environmental conservation, setting biodiversity priority areas and the delineation of indigenous lands. Still, the effects are not clear as understanding of the ecosystems is incomplete and responses to human actions are highly uncertain. Bayesian Belief Networks (BBN) are models that probabilistically represent correlative and causal …

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 …

Simulating The Sensitivity Of Residential Wildfire Risk To Land Use Policy, Tony Prato, Travis Paveglio, Micheal Hardy

International Congress on Environmental Modelling and Software

An integrated model is used to simulate the sensitivity of expected residential losses from wildfire [E(RLW)]) and growth of the wildland urban interface (WUI) to three land use policies in Flathead County, Montana, during the period 2010–2059. The model accounts for the complex socio-ecological interactions among climate change, economic growth and associated residential development, land use policy, homeowners’ wildfire loss mitigation actions, and forest treatments by various land management agencies. E(RLW) depends on the number of developed residential properties, the total value of residential properties, the probability that parcels containing residential properties burn, the conditional probability of residential wildfire losses, …

Modeling Of Co2 Solubility In Salty Aqueous Solutions At Geological Sequestration Conditions, Lu Wang, Qingchun Yu, Lu Xia, Yinhe Zheng

International Congress on Environmental Modelling and Software

Injecting CO₂ into deep saline aquifers possesses the highest potential capacity for geological carbon storage (GCS) in order to mitigate climate change. CO₂ solubility in salty aqueous solutions plays a key role in GCS. However, the models of CO₂ solubility are scanty when the mixture of K⁺, Na⁺, Ca²⁺ and Mg²⁺ in aqueous solution is included. In this study, a simple model for CO₂ solubility is proposed covering conditions typically encountered in geological sequestration. Effect of the property and concentration of K⁺, Na⁺, Ca²⁺ and …

Ocean Acidification And Fisheries - A Bayesian Network Approach To Assessing A Wicked Problem, Russell Richards, Jan-Olaf Meynecke, Oz Sahin, Rachel Tiller, Yaije Liu

International Congress on Environmental Modelling and Software

Increased carbon dioxide emissions are driving changes in the chemistry of seawater in a process termed 'ocean acidification' (OA). Globally, this is predicted to impact on coastal fisheries, especially those consisting of calcifying organisms (e.g. mollusks and crustaceans). The impact might also depend on synergistic co-stressors such as a concomitant increase in seawater temperature and the resilience of other biota. However, the framing of OA as a future problem coupled with the complexity of coastal systems means that assessing fisheries vulnerability to OA is characterised by strong variability and uncertainty. It is further characterised by strong socio-economic dimensions given the …

Sea Level Rise Effects On Acidic Pollution In A Coastal Acid Sulphate Soil Area, Ngo Dang Phong, Chu Thai Hoanh, To Phuc Tuong, Reiner Wassmann

International Congress on Environmental Modelling and Software

Bac Lieu is a coastal province in the Mekong River Delta (MRD), Vietnam. Aside from salinity intrusion from the sea, the province is strongly affected by acidic pollution as 58% of the area (250,000 ha) is overlaid with acid sulphate soil (ASS). Previous studies showed that the eminent sea level rise (SLR) would influence the hydrology and salinity of the canal networks in the province. This study, using the previously validated hydraulic and water quality model CRSAP-ACIDITY (Vietnam River Systems And Plains, coupled with ACIDITY Module), aimed at quantifying impacts of different SLR scenarios (SLR=17, 30, 50, or 75 cm) …

Managing Mine Water Under Extreme Climate Variability Using A Model Predictive Control Approach, Lei Gao, Damian Barrett, Rui Liu, Mingwei Zhou, Luigi Renzullo, Irina Emelyanova

International Congress on Environmental Modelling and Software

In Australia, growing water demand, intensifying competition with other water users, and significant climate variability have brought a pressure of securing water use to the mining industry, especially in years of droughts. However, during heavy rainfall periods, unregulated discharges of mine-affected water may put the livelihood of community and the environment at risk. Therefore, a careful balance needs to be struck between securing mine water use during water limited periods, on one hand, and mitigating environmental risk expressed through unregulated discharges when water is in excess, on the other. This paper designs a model predictive controller (MPC) to address this …

Object-Based Analysis Of Multispectral Rs Data And Gis For Detection Of Climate Change Impact On The Karakoram Range Northern Pakistan, Waquar Ui Hassan Chaudhary, Åke Sivertun

International Congress on Environmental Modelling and Software

Changing climate has a great impact on northern area of Pakistan's environment and is more prone to environmental change impacts than the rest of the country due to its high elevation. However, the results of melting glaciers effect not only the local environment but also the whole country with frequent and heavy floods. Although recent technological development provided solutions of many problems to mankind, the pace of development in the field of environmental preservation technologies are much slower than needed.

Remote sensing (RS) from Satellites and Airplanes used in Geographical Information Systems (GIS) are technologies that can aid in understanding …

Probabilistic Mapping With Bayesian Belief Networks: An Application On Ecosystem Service Delivery In Flanders, Belgium, Dries Landuyt, Seven Broekx, Katrien Van Der Biest, Peter Goethals

International Congress on Environmental Modelling and Software

Ecosystem services are gaining more and more attention in decision support applications. Nevertheless, modelling and mapping ecosystem services to support landscape planning decisions remains challenging. Recently, Bayesian belief networks (BBNs), a probabilistic modelling technique, has been introduced in ecosystem service modelling. Major advantages of this modelling approach include high model transparency which enables stakeholder involvement in model development and evaluation, the ability to incorporate expert knowledge on top of data and the possibility to take into account uncertainties. To combine the advantages of BBNs and spatially explicit modelling in the context of ecosystem service modelling, we developed a Quantum GIS …

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 …

A Sequential Participatory Approach To Adapt Livestock Systems To Climate Change, Marion Sautier, Mathilde Piquet, Michel Duru, Roger Martin-Clouaire

International Congress on Environmental Modelling and Software

Livestock systems are and will increasingly be impacted by climate change primarily because the feed supply produced on the farm (pastures, forage crops) depends greatly on the climatic conditions experienced. To adapt grassland-based livestock systems to climate change, some transformational redesign of the fanning system may be required. Redesign is basically a matter of reconfiguring land-use for feed production and management practices set up to cope with weather variability. We present a participatory method to design systems adapted to new conditions. It is based on a pre-existing game-like platform (Forage Rummy) in which various year-round forage production and animal feeding …

Swat-Sir Model For Predicting Fate And Transport Of Manure-Borne Pathogens In Fragmented Agriculture-Forest Ecosystems, Andrey K. Guber, David M. Williams, Amy C. Dechen Quinn, Sushil B. Tamrakar, Joan B. Rose, William F. Porter

International Congress on Environmental Modelling and Software

The objective of this study was to develop and qualitatively evaluate a model predicting transmission of manure-borne pathogens between co-grazing cattle and wildlife. The developed add- on module SIR that we coupled with SWAT model included the following new components: wildlife population changes, resource selection, dose-response, compartmental susceptible-infectious- recovered (SIR) module and pathogen shedding. Probabilities of the wild and domestic animal infection by pathogens and numbers of infected animals were computed based on a dose-response approach, which included beta-Poisson and exponential models. Land use and plant biomass predicted with watershed-scale model SWAT were used as the input for the deer …

Norovirus Dose-Response In Sewage-Related Qmra: The Importance Of Virus Aggregation, Graham B. Mcbride

International Congress on Environmental Modelling and Software

Norovirus infection and illness are increasingly used as end-points in sewage-related health risk assessments, especially as data from clinical trials outbreak studies have recently become available. The authors of a very recent clinical trial have inferred that the human median infectious dose is higher than previous estimates and similar to that of other RNA viruses. This finding has the potential to cause a revision of previous risk assessments. However, in reaching this conclusion, the potential role of aggregation of these viruses seems not to have been accounted for, although it was accounted for in an earlier trial. In fitting (hypergeometric) …

Testing Tales: Selection And Evaluation Of A Framework For Interoperable Freshwater Modelling, Alexander Elliot, Gabriella Turek, Valerie Snow, Daniel Rutledge, Alistair Ritchie, Alexander Herzig

International Congress on Environmental Modelling and Software

Recent freshwater policy initiatives in New Zealand have highlighted the need for integrated and interoperable freshwater models and data sources. In response, we evaluated a range of software frameworks for interoperable freshwater modelling. A workshop on user needs identified a spectrum of framework users, ranging from ‘indirect users’ such as policy makers, to ‘developers’ such as software engineers concerned with developing and implementing frameworks. To address calls for clearer information on available models and data sources, we developed databases of models and data sources along with an interactive tool to query the database and illustrate potential data-model and model-model couplings. …

Leveraging Quality Assurance And Quality Control Processes To Deliver Provenance As A First-Order Scientific Output In Large-Scale Environmental Assessments, William Francis, Nicholas J. Car, Rebecca K. Schmidt, Simon Gallant

International Congress on Environmental Modelling and Software

In large-scale environmental assessments, such as the Australian Government Bioregional Assessment Programme, the science is integrated when products (scientific reports) are assembled. Product assembly involves synthesising material written by multiple authors from multiple disciplines and producing standard tables, maps and charts. High-quality products require that quality assurance and quality control (QA/QC) procedures are built into the scientific and publication processes.

Further, funders and stakeholders are increasingly demanding that scientists provide sufficient infor- mation to explain and justify the evidence provided, even to the extent that an independent group can repeat the science. Recording an effective lineage of processes and data …

Uncertainty Transfer In Modeling Layers: From Gcm To Downscaling To Hydrologic Surface-Groundwater Modeling, John F. Mejia, Richard G. Niswonger, Justin Huntington

International Congress on Environmental Modelling and Software

In this presentation we show how model uncertainty is transferred from GCMs to hydrologic model results for different downscaling strategies. We use a USGS Groundwater and Surface-water FLOW (GSFLOW) model applied to three small catchments in the northeastern Lake Tahoe basin. A framework is developed for assessing the benefits and difficulties associated with using historical and future climate projections from CMIP3 and CMIP5 datasets for hydrologic investigations. Here we downscale 10 km gridded GCM climate data to a 60m grid using daily values from climate stations and PRISM average monthly climate. Hydrologic model results show that an ensemble/probabilistic station- based …

An Extendable Experiment With Gis And Ict To Make Environmental Data And Modeling User-Friendly And Accessible, Saurav Kumar, Adil N. Godrej, Thomas J. Grizzard, Harold E. Post

International Congress on Environmental Modelling and Software

Occoquan Watershed Monitoring Laboratory (OWML), has been monitoring the Occoquan Reservoir and its tributary watershed in Washington DC suburb for over 40 years. OWML has also developed and maintained a state-of-the-art water quality and quantity model for the region based on seven HSPF and two CE-QUAL-W2 software. To make the data and modeling tools easily accessible to stakeholders, OWML has embarked on an experiment to use modern Information Communication Technology (ICT) along with web-mapping systems. As a result the web-portal https://wqdata.owml.vt.edu has been developed to provide easy access to the real-time and historic water resources data for the Occoquan watershed …

A Model Component For Simulating The Seasonal Cycle Of Heterotrophic Respiration, G. A. Alexandrov

International Congress on Environmental Modelling and Software

Heterotrophic respiration, an important item in ecosystem carbon balance, is the process which is addressed in the global carbon cycle models and Earth system models. The seasonal cycle of the het- erotrophic respiration is determined by seasonal changes in climatic conditions and in the storage of litter (i.e., in the amount of organic substrate available as a food source for organisms composing the heterotrophic community). The model component presented in this paper is focussing at effects produced by seasonal depletion in litter storage. The seasonal changes in litter storage are modelled by ordinary differential equa- tions, which are solved analytically …