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Articles 91 - 108 of 108
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Kernel Density Independence Sampling Based Monte Carlo Scheme (Kismcs) For Inverse Hydrological Modeling, Mojtaba Shafiei, Shervan Gharari, Saket Pande, Sandjai Bhulai
Kernel Density Independence Sampling Based Monte Carlo Scheme (Kismcs) For Inverse Hydrological Modeling, Mojtaba Shafiei, Shervan Gharari, Saket Pande, Sandjai Bhulai
International Congress on Environmental Modelling and Software
Posterior sampling methods are increasingly being used to describe parameter and model predictive uncertainty in hydrologic modelling. This paper proposes an alternative to random walk chains (such as DREAM-zs). We propose a sampler based on independence chains with an embedded feature of standardized importance weights based on Kernel density estimates. A Markov Chain Monte Carlo sampling algorithm is proposed with Metropolis-Hastings (M-H) updates using an independence sampler. The independence sampler ensures that candidate observations are drawn independently of the current state of a chain, thereby ensuring efficient exploration of the target distribution. The M-H acceptance-rejection criterion is used to sample …
Web Service And Plug-In Architecture For Flexibility And Openness Of Environmental Data Sharing Platforms, Stephen Knox, Philipp Meier, Julien Harou
Web Service And Plug-In Architecture For Flexibility And Openness Of Environmental Data Sharing Platforms, Stephen Knox, Philipp Meier, Julien Harou
International Congress on Environmental Modelling and Software
The sharing, comparison and maintenance of computer model input and result data for real-world projects is a challenge. In collaborative research projects, particularly when collaboration occurs between multiple institutions in different locations, the complications are greater still. The co-development of water resource network simulation and optimization models is one field that faces this challenge. There is a need for ways to allow multiple users to build and apply models collaboratively. This paper argues that a web service architecture is an appropriate approach for multi-institution maintenance of resource network models. We describe the design of a prototype system that allows developers …
Hydroshare: Advancing Collaboration Through Hydrologic Data And Model Sharing, David G. Tarboton, Ray Idaszak, Jeffery S. Horsburgh, Jeff Heard, Dan Ames, Jonathan L. Goodall, Larry Band, Venkatesh Merwade, Alva Couch, Jennifer Arrigo, Richard Hooper, David Valentine, David Maidment
Hydroshare: Advancing Collaboration Through Hydrologic Data And Model Sharing, David G. Tarboton, Ray Idaszak, Jeffery S. Horsburgh, Jeff Heard, Dan Ames, Jonathan L. Goodall, Larry Band, Venkatesh Merwade, Alva Couch, Jennifer Arrigo, Richard Hooper, David Valentine, David Maidment
International Congress on Environmental Modelling and Software
HydroShare is an online, collaborative system being developed for open sharing of hydrologic data and models. The goal of HydroShare is to enable hydrology researchers to easily discover and access hydrologic data and models, retrieve them to their desktop for local analysis and perform analyses in a distributed computing environment that may include grid, cloud or high performance computing. Users may also share and publish outcomes (data, results or models) into HydroShare, using the system as a collaboration platform. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated. HydroShare …
Reproducible Research Within The Datanet Federation Consortium, Reagan W. Moore, Arcot Rajasekar
Reproducible Research Within The Datanet Federation Consortium, Reagan W. Moore, Arcot Rajasekar
International Congress on Environmental Modelling and Software
The DataNet Federation Consortium (DFC) is an NSF funded project that provides cyberinfrastructure for federating data management systems into a collaboration environment. Researchers are able to build a shared collection, apply analysis workflows, and manage the analysis results. The shared collections may span storage resources at multiple institutions, and multiple types of data management systems. The analysis workflows may include staging of files to remote compute platforms, and in-place analysis at the remote data storage location. The workflows can be captured as shareable objects, with automatic capture of input files, input parameters, and output files. A key feature is support …
Use Of Near Real Time Earth Observation Data Infrastructures And Open Source Tools For Water Resources Monitoring And Assessment, Chris M. Mannaerts, Ben H.P. Maathuis, Petra E. Budde
Use Of Near Real Time Earth Observation Data Infrastructures And Open Source Tools For Water Resources Monitoring And Assessment, Chris M. Mannaerts, Ben H.P. Maathuis, Petra E. Budde
International Congress on Environmental Modelling and Software
Since several years, a rapid and ever increasing public use of geo-information data derived from earth observation satellites is noted. The use of Google and Microsoft Virtual Earth engines can be seen as generic examples of this trend. For hydrology, water resources research and professional practice, we also note a growing availability of earth observation (EO) data and products, needed for operational land and water management. Many of these data are public domain and made freely available using low-cost global data dissemination infrastructures like GEONETCast, managed by the spaces agencies EUMETSAT and NOAA amongst others, within the context of the …
Amadeus: A System For Monitoring Water Quality Parameters And Predicting Contaminant Paths, Abdeltawab M. Hendawi, David Hazel, Joel Larson, Yiru Li, Dwaine Trummert, Mohamed Ali, Ankur Teredesai
Amadeus: A System For Monitoring Water Quality Parameters And Predicting Contaminant Paths, Abdeltawab M. Hendawi, David Hazel, Joel Larson, Yiru Li, Dwaine Trummert, Mohamed Ali, Ankur Teredesai
International Congress on Environmental Modelling and Software
Managing the water quality in an urban environment is extremely challenging. While it flows, the water picks up pollutants such as lawn care chemicals, oil, and pet waste bacteria. In fact, topography plays a factor in where water runoff goes. However, there are many other factors, such as urban density, impermeable surface coverage, weather events and tidal patterns which all have the potential to impact not only the final destination of a particular pollutant but also the rate of travel along the route. In this paper, we propose a system, named AMADEUS (Azure Marketplace of Applications for Diverse Environmental Use …
Quantitative Microbial Risk Assessment Of Freshwater Impacted By Animal Fecal Material, Jeffrey Soller, Timothy Bartrand, Marirosa Molina, Gene Whelan, Mary Schoen, Nicholas Ashbolt
Quantitative Microbial Risk Assessment Of Freshwater Impacted By Animal Fecal Material, Jeffrey Soller, Timothy Bartrand, Marirosa Molina, Gene Whelan, Mary Schoen, Nicholas Ashbolt
International Congress on Environmental Modelling and Software
We evaluated the potential for human illness from a hypothetical recreational exposure to freshwater that was impacted by land-applied, agricultural animal fecal material. The scenario included 1) fresh cattle manure, pig slurry, or chicken litter (fecal material) land-applied, adjacent to a freshwater waterbody at standard agronomic rates (based on nutrient management); 2) fecal materials containing fecal indicator bacteria (FIB) and pathogens of public health concern (reference pathogens) at levels reported in peer-reviewed literature; 3) FIB and reference pathogens mobilized via runoff at rates estimated from our rainfall simulation experiments; 4) primary recreational contact (e.g., swimming) occurring in undiluted runoff at …
The Csdms Standard Names: Cross-Domain Naming Conventions For Describing Process Models, Data Sets And Their Associated Variables, Scott D. Peckham
The Csdms Standard Names: Cross-Domain Naming Conventions For Describing Process Models, Data Sets And Their Associated Variables, Scott D. Peckham
International Congress on Environmental Modelling and Software
The CSDMS (Community Surface Dynamics Modeling System) modeling framework provides mechanisms that allow models and data sets from different contributors to be automatically coupled in a plug-and-play manner to create composite models. In developing this capability, a key challenge has been that of automatic semantic mediation, or name matching, because each model or data set (here called a resource) uses its own set of terms for input and output variable names. These names are often domain-specific or abbreviated. In order for the CSDMS framework to determine whether one model’s output variable is appropriate to be used as another model’s input …
The Qmra Wiki: A Social Media Tool For Interdisciplinary And Interagency Collaboration For Quantitative Microbial Risk Assessment, Jade Mitchell, Mark H. Weir, Wietske Van Osch, Joan Rose
The Qmra Wiki: A Social Media Tool For Interdisciplinary And Interagency Collaboration For Quantitative Microbial Risk Assessment, Jade Mitchell, Mark H. Weir, Wietske Van Osch, Joan Rose
International Congress on Environmental Modelling and Software
This study presents a web-based social media system that supports quantitative microbial risk assessment (QMRA) and collaboration among interdisciplinary scientists and interagency stakeholders, namely the QMRA wiki. The QMRA wiki is intended to aid the development of risk assessments by providing a collection of raw data, models and calculators as well as a platform for exchange and cross-fertilization between the QMRA community and its stakeholders. The wiki is organized around the exploration of the QMRA paradigm including the following five components: hazard identification, dose-response assessment, exposure assessment, risk characterization and risk management. Additionally, the wiki houses a number of case …
A K-Means Clustering Approach To Assess Wheat Yield Prediction Uncertainty With A Hydrus-1d Coupled Crop Model, Derek Groenendyk, Kelly Thorp, Ty Ferré, Wade Crow, Doug Hunsaker
A K-Means Clustering Approach To Assess Wheat Yield Prediction Uncertainty With A Hydrus-1d Coupled Crop Model, Derek Groenendyk, Kelly Thorp, Ty Ferré, Wade Crow, Doug Hunsaker
International Congress on Environmental Modelling and Software
Soil moisture, especially under drought conditions, is a factor that is known to impact crop yield predictions. Crop growth models used to make these predictions rely on soil texture estimates, which influence simulated soil moisture and ultimately crop growth. The purpose of this research was to implement a k-means clustering approach to address the uncertainty of the soil texture estimates. By grouping similar soil textures based on their simulated responses, clustering reveals how soil texture uncertainty may impact yield estimates. Wheat growth simulations were conducted using a HYDRUS 1D and coupled crop model for soils defined on the USDA soil …
App2adapt: Using Tablet Technology To Elicit Conditional Probabilities For Bayesian Belief Network Modelling, Russell Richards, Oz Sahin, Marcello Sano, Jan-Olaf Meynecke, Rachel Tiller
App2adapt: Using Tablet Technology To Elicit Conditional Probabilities For Bayesian Belief Network Modelling, Russell Richards, Oz Sahin, Marcello Sano, Jan-Olaf Meynecke, Rachel Tiller
International Congress on Environmental Modelling and Software
The aim of this study is to use touch-screen computer tablet technology (e.g. iPAD) and its interactive flight console capabilities (e.g. touch screen 'sliders') as an improved method to stakeholder driven climate change adaptation research. Climate change vulnerability and adaptation have strong human dimensions meaning that the experiences of stakeholders often plays an important role when assessing adaptation options and/or the determinants of adaptive capacity. Methods such as Bayesian belief networks {BBNs) can draw upon the extensive knowledge and beliefs of stakeholders in a straightforward manner yet are underpinned by a robust mathematical framework (i.e. Bayes theory). This is critically …
Using Integrated Environmental Modeling To Automate A Process-Based Quantitative Microbial Risk Assessment, Gene Whelan, Keewook Kim, Rajbir Parmar, Kurt Wolfe, Mike Galvin, Paul Duda, Mark Gray, Marirosa Molina, Richard Zepp, Yakov Pachepsky, John Ravenscroft, Lourdes Prieto, Brenda Kitchens
Using Integrated Environmental Modeling To Automate A Process-Based Quantitative Microbial Risk Assessment, Gene Whelan, Keewook Kim, Rajbir Parmar, Kurt Wolfe, Mike Galvin, Paul Duda, Mark Gray, Marirosa Molina, Richard Zepp, Yakov Pachepsky, John Ravenscroft, Lourdes Prieto, Brenda Kitchens
International Congress on Environmental Modelling and Software
Integrated Environmental Modeling (IEM) organizes multidisciplinary knowledge that explains and predicts environmental-system response to stressors. A Quantitative Microbial Risk Assessment (QMRA) is an approach integrating a range of disparate data (fate/transport, exposure, and human health effects relationships) to characterize potential health impacts/risks from exposure to pathogenic microorganisms. We demonstrate loosely connected IEM legacy technologies (SDMProjectBuilder, Microbial Source Module, HSPF, and BASINS) to support watershed-scale microbial source-to-receptor modeling, focusing on animal-impacted catchments. The coupled models automate manual steps in standard watershed assessments to expedite the process, minimize resources, increase ease of use, and introduce more science-based processes to the analysis. SDMProjectBuilder …
The Effect Of Recovery On Modeling Inactivation Of Bacillus Spores On Hvac Filters, Bharathi Murali, Jade Mitchell
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 …
Metadata For Describing Water Models, Mohamed M. Morsy, Jonathan L. Goodall, Christina Bandaragoda, Anthony M. Castronova, Jane Greenberg
Metadata For Describing Water Models, Mohamed M. Morsy, Jonathan L. Goodall, Christina Bandaragoda, Anthony M. Castronova, Jane Greenberg
International Congress on Environmental Modelling and Software
Computer models are widely used in hydrology and water resources management. A large variety of models exist, each tailored to address specific challenges related to hydrologic science and water resources management. When scientists and engineers apply one of these models to address a specific question, they must devote significant effort to set up, calibrate, and evaluate that model instance built for some place and time. In many cases, there is a benefit to sharing these computer models and associated datasets with the broader scientific community. Core to model reuse in any context is metadata describing the model. A standardized metadata …
Toward Integrated Environmental Modeling Using Research Data Infastructures, Jeffery S. Horsburgh
Toward Integrated Environmental Modeling Using Research Data Infastructures, Jeffery S. Horsburgh
International Congress on Environmental Modelling and Software
Anticipated changes to climate, human population, land use, and urban form will alter the hydrology and availability of water within the water systems on which the world's population relies. Managing water resources, as well as maintaining associated capacity to provide ecosystem services (e.g., regulating flooding, maintaining instream flow during dry periods, cycling nutrients, and maintaining water quality) will require better information characterizing both the natural hydrologic system and human mediated hydrologic systems. The next generation of integrated environmental models will seek to provide this information but requires better access to data at the spatial and temporal scales relevant to decision …
Agile Workflows For Climate Impact Risk Assessment Based On The Ci:Grasp Platform And The Jabc Modeling Framework, Samih Al-Areqi, Anna-Lena Lamprecht, Tiziana Margaria, Steffen Kriewald, Dominik Reusser, Markus Wrobel
Agile Workflows For Climate Impact Risk Assessment Based On The Ci:Grasp Platform And The Jabc Modeling Framework, Samih Al-Areqi, Anna-Lena Lamprecht, Tiziana Margaria, Steffen Kriewald, Dominik Reusser, Markus Wrobel
International Congress on Environmental Modelling and Software
Analyzing and assessing potential impacts of climate change are critical and challenging tasks that require the processing of large and heterogeneous datasets. These analyses are particularly demanding because of the multi-scale and multi-objective nature of environmental modeling for climate change impact assessment. The Climate Impacts: Global and Regional Adaptation Support Platform (ci:grasp) is a web-based climate information service for exploring climate change related information in its geographical context. In this paper, we show how the agile workflow development style supported by the jABC process modeling and execution framework permits us to leverage the processes implemented in the ci:grasp platform to …
Defining The Spatiotemporal Surveillance Space For Alien Species' Invasions Using Approximate Bayesian Computation, Grant Hamilton, Rune Rasmussen, Jana Mullerova, Jan Pergl, Petr Pysek
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.
The Data Processing Inequality And Environmental Model Prediction, Steven V. Weijs
The Data Processing Inequality And Environmental Model Prediction, Steven V. Weijs
International Congress on Environmental Modelling and Software
Prediction in environmental systems, such as hydrological streamflow prediction, is a challenging task. Although on a small scale, many of the physical processes are well described, accurate predictions of macroscopical (e.g. catchment scale) behavior with a bottom-up mechanistic approach often remains elusive. On the other hand, conceptual or purely statistical models fitted to data often perform surprisingly well for prediction. The data processing inequality, from the field of information theory, says that processing data with statistical procedures can only decrease, and not increase the information content of the data. This seems to contradict the intuition that our knowledge of physical …