Hydraulic Engineering Commons^™

Implementation Of Integrated Modelling Approach To Impact Assessment Applications For Lng Operations Using 3-D Comprehensive Modelling Framework, Shwet Prakash, Venkat S. Kolluru

International Congress on Environmental Modelling and Software

Natural gas is a premium fuel for both its energy value and environmental friendliness. Worldwide reliance on natural gas and continual discovery of new reserves around the world has spurred increased exploration and production. Offshore liquefied natural gas (LNG) developments of a large scale are being operated an built across the world requiring continual assessment of environmental impacts from operational and accidental releases. Physical and chemical environmental impacts on surface waters from these releases should preferably be assessed using a comprehensive modelling approach. In a comprehensive modelling approach, a single model is used to develop the ambient hydrodynamic conditions and …

Integra: From Global Scale Contamination To Tissue Dose, Dimosthenis Sarigiannis, Spyros Karakitsios, Alberto Gotti, George Loizou, John Cherrie, Roel Smolders, Kathleen De Brouwere, Karen Galea, Kate Jones, Evangelos Handakas, Krystalia Papadaki, Anne Sleeuwenhoek

International Congress on Environmental Modelling and Software

The objective of the INTEGRA project is to bring together all information necessary for assessing the source-to-dose continuum over the entire life cycle of substances covering an extensive chemical space through the use of QSARs. The major outcome of INTEGRA is a comprehensive computational platform that integrates multimedia environmental and micro-environmental fate, exposure and internal dose within a dynamic framework in time. The platform allows multimedia interactions across different spatial scales, taking into account environmental releases and related processes at global, regional and local scale, up to the level of personal microenvironment. Coupling seamlessly exposure models with refined computational tools …

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 …

An Ontology-Based Approach For The Instrumentation, Control And Automation Infrastructure Of A Wwtp, Davide Sottara, Jean Claude Coreale, Thierry Spetebroot, Dalila Pulcini, Daniele Giunchi, Fabrizio Paolucci, Luca Luccarini

International Congress on Environmental Modelling and Software

The instrumentation, control and automation of wastewater treatment plants (WWTPs) is a key aspect to ensure good performance and lower operational costs. However, control systems are seldom interoperable and standard-compliant. In this paper, we propose a knowledge-based approach which decouples the description of the plants and their control strategies from their physical structure and instrumentation. In particular, we propose a semantic model based on ontologies, formalized using the W3C OWL2 standard. We have extended the Semantic Sensor Network and created a specialized representation of the WWTP domain, to provide a consistent description of instrumentation (sensors and probes), actuators and data …

A Chemical Properties Simulator To Support Iem, Gene Whelan, Eric Weber, Caroline Stevens, Mitch Pelton, Kurt Wolfe, Rajbir Parmar, Mike Galvin, Said Hilal, Justin Babendreier

International Congress on Environmental Modelling and Software

Users of Integrated Environmental Modeling (IEM) systems are responsible for defining individual chemicals and their properties, a process that is time-consuming at best and overwhelming at worst, especially for new chemicals with new structures. A software tool is needed to allow users to define a chemical structure, predict transformation products within an environmental setting, and calculate relevant physicochemical properties. Independent software provides relevant chemical and environmental descriptors to parameterize IEM systems that support fate/transport of organics by integrating cheminformatic applications and software technologies. These 1) encode process science using SMART reaction strings, an extension of SMILES notation; 2) generate transformation …

An Information Platform Fostering Re-Use Of Water Data, Ralf Denzer, Sascha Schlobinski, Gerben Boot, Frank Keppel, Erik De Rooij

International Congress on Environmental Modelling and Software

The re-use of publicly funded governmental data has received a lot of attention recently. In the environmental domain, it is clear that improved public services need exchange of data across governments at all levels. Governments keep producing information products at all levels, and some of them are more or less readily available. Reporting obligations in the EC, for instance demanded by the Water Framework Directive (WFD), are direct inputs to European datasets. The technology base for advanced systems is supported by the OGC suite of standards and by encodings for water information.

Still re-use of data is not happening at …

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 …

Back-End Science Model Integration For Ecological Risk Assessment, Tao Hong, Chancellor Pascale, Jonathan Flaishans, Marcia Snyder, S. Thomas Purucker

International Congress on Environmental Modelling and Software

The U.S. Environmental Protection Agency (USEPA) relies on a number of ecological risk assessment models that have been developed over 30-plus years of regulating pesticide exposure and risks under Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Endangered Species Act. Since computing technology have changed dramatically over this time period, constituent legacy models often contain algorithms based on source code with defunct dependencies and/or have been integrated with graphical user interface elements no longer compatible with current operating systems. Model migration to modern web applications creates integration challenges for back-end science model code residing on a server. An example …

Mobile Device App For Small Open-Channel Flow Measurement, Lüthi Beat, Thomas Philippe, Salvador Peña-Haro

International Congress on Environmental Modelling and Software

For effective water management, particularly in irrigated agriculture, it is essential to have reliable open-channel flow data. With present methods, such data is not readily obtained as they require measurement stations, what often results in sparse data. We present a mobile device app to measure runoff in open channels. With this tool flow data can be collected reliably and cheaply.

The technology, on which the app is based, is derived from an already implemented and tested similar webcam application. The smartphone app calculates the runoff by analyzing a few seconds of a movie sequence that is recorded by the same …

Analysis Of Vegetation Heterogeneity As Sensor For Soil Moisture Patterns Using Remote Sensing, Angela Lausch, Claudia Schütze, Bernhard Siemon, Steffen Zacharias, Ulrike Werban

International Congress on Environmental Modelling and Software

Soil moisture patterns are key parameters when it comes to controlling and managing process-pattern interactions in processes relating to soil, vegetation, landscape, climate and the ecosystem. Soil pattern heterogeneity is hard to determine in European landscapes using direct procedures, which are used on soil with little or no vegetation, because the soil is often covered with vegetation all year round. The goal of this study is therefore to develop indirect procedures to analyze soil moisture patterns, which "use the biochemical-biophysical characteristics of plants as sensors and indicators" for soil moisture heterogeneity. For this research, geoelectrical methods which include electromagnetic induction …

Modelling Similarities Of Endocrine Disruptors In Pine Needles And Human Breast Milk, Kristina Voigt, Rainer Bruggemann, Hagen Scherb, Ismet Cok, Karl-Werner Schramm

International Congress on Environmental Modelling and Software

In a recently performed monitoring project, 18 OCPs (Organochlorine pesticides) in paired samples of pine needles and human breast milk samples were analysed in different regions in the Taurus Mountains in Turkey. The aim of our data evaluation approach is to find out whether there are conformities between the paired human breast milk and pine needle samples. An appropriate data analysis method to identify such conformities and differences is the discrete mathematical method named Hasse diagram technique. The software package used is the PyHasse software. It comprises several modules, which are of great support in the evaluation of environmental data. …

Epidemia - An Ecohealth Informatics System For Integrated Forecasting Of Malaria Epidemics, Micheal C. Wimberly, Geoffrey M. Henebry, Yi Liu, Gabriel B. Senay

International Congress on Environmental Modelling and Software

Advance information about the timing and locations of malaria epidemics allows more effective targeting of resources for prevention, control, and treatment. However, these predictions must be accurate to ensure that potential outbreaks are not missed and resources are not wasted responding to predicted outbreaks that do not occur. Early warning systems based on environmental monitoring can identify critical risk factors before an epidemic actually starts, but their accuracy is constrained by the complex interrelationships of climatic variability, mosquito population dynamics, malaria transmission, and the resulting risk of human infection. In contrast, early detection of malaria epidemics based on epidemiological surveillance …

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 …

Multi-Level Automated Sub-Zoning Of Water Distribution Systems, Lina Sela Perelman, Micheal Allen, Ami Preis, Mudasser Iqbal, Andrew J. Whittle

International Congress on Environmental Modelling and Software

Water distribution systems (WDS) are complex pipe networks with looped and branching topologies that often comprise of thousands of links and nodes. This work presents a generic framework for improved analysis and management of WDS by partitioning the system into smaller (almost) independent sub-systems with balanced loads and minimal number of interconnections. This paper compares the performance of three classes of unsupervised learning algorithms from graph theory for practical sub-zoning of WDS: (1) Graph clustering – a bottom-up algorithm for clustering n objects with respect to a similarity function, (2) Community structure – a bottom-up algorithm based on network modularity …

Use Of A One-Dimensional Link-Node Model To Develop Total Maximum Daily Load Strategies For The San Joaquin River Estuary, Mary Kay Camarillo, William Stringfellow, Joel Herr, Scott Sheeder, Gregory Weissmann, Shelly Gulati, Ashley Stubblefield

International Congress on Environmental Modelling and Software

A one-dimensional link-node model was used to simulate water quality conditions in the tidally­-influenced, deep water ship channel (DWSC) of the San Joaquin River located in Central California. The DWSC has been plagued with low dissolved oxygen (DO) conditions for decades and is currently a focus of restoration efforts. The model was calibrated using a six-year flow and water quality data set. Model simulations were run by removing the mass loads of each of the following major sources of oxygen depletion to determine the effects: elimination of the deepened ship channel (i.e., restore to its pre­ existing depth), elimination of …

Towards A Low-Cost, Full-Service Air Quality Data Archival System, Argyris Samourkasidis, Ioannis N. Athanasiadis

International Congress on Environmental Modelling and Software

We present our explorations towards a low-cost solution for creating an autonomous environmental data archival system. AiRCHIVE is a software platform for providing open access to sensor data with different ways, that account for machine interoperability. It is built with Raspberry Pi, a low-cost, pocket-size computer, and Air Pi a low-cost amateur sensory kit for air quality monitoring. Raspberry Pi with AirPi allowed us to easily capture raw sensor data and store them in a local database, and with AiRCHIVE we deployed “on sensor” a web server that provides with a set of services for data preprocessing and dissemination, including …

Multicriteria Decision-Making For Flood Management Based On Sustainable Development Criteria, Mohammad Ebrahim Banihabib, Abolfazl Laghabdoost-Arani

International Congress on Environmental Modelling and Software

Flood management alternatives are investigated based on sustainable development criteria (SDC) by using a non-compensatory multicriteria decision-making (MCDM) model, ELECTRE- III, to reduce flood damage in a study reach of the Gorganrood River in Golestan Province, north of Iran. The selection of optimal alternative of flood management is a multi-objective issue and thus using MCDM models becomes necessary. Considering the physical, social and economic conditions of the region, a set of structural and non-structural alternatives is proposed for the flood management in the study reach of the Gorganrood River. To model sustainable development, 11 criteria are proposed for decisions regarding …

Exploring Environmental Model Catalogs, Ilva Zaslavsky, Thomas Whitenack, David Valentine

International Congress on Environmental Modelling and Software

As part of the NSF EarthCube cross-domain interoperability roadmap and the CINERGI (Community Inventory of EarthCube Resources for Geoscience Interoperability) projects, we assembled and analysed several catalogs of environmental models. The goals of this work included analysis of patterns of pre-model data flows from multiple domains and consistent cataloguing models across multiple model collections using a common set of metadata fields. This paper presents status updates and initial analytical results along these goals. We explored model registries assembled by NOAA and EPA, as well as model descriptions created within CSDMS, ESMF and TESS projects. These model metadata collections were visualized …

Interoperable Intelligent Environmental Decision Support Systems: A Framework Proposal, Miquel Sànchez-Marrè

International Congress on Environmental Modelling and Software

In this paper, an approach for the development of Interoperable Intelligent Environmental Decision Support Systems (IEDSS) is proposed. The framework is based upon the cognitive-oriented approach for the development of IEDSS proposed in (Sànchez-Marrè et al., 2008), where three kinds of tasks must be built: analysis tasks, synthesis tasks and prognosis tasks. Now, a fourth level will be proposed: the model construction layer, which is normally an off-line task. At each level, interoperability should be possible and inter-level interoperability must also be achieved. This interoperability is proposed to be obtained using data interchange protocols like Predictive Model Markup Language (PMML), …

A Hybrid, Integrated Iedds For The Management Of Sequencing Batch Reactors, Davide Sottara, Stefano Bragaglia, Dalila Pulcini, Paola Mello, Luca Luccarini

International Congress on Environmental Modelling and Software

A Sequencing Batch Reactor (SBR) is a particular kind of wastewater treatment plant (WWTP), where all treatment processes take place in a single reactor tank, according to a fixed temporal sequence. SBR offers several advantages in terms of reduced costs, minor impact and greater flexibility with respect to traditional WWTPs. However, an optimal cost/performance ratio can only be achieved if the treatment processes are continuously monitored and controlled. In this paper, we present a hybrid, distributed, knowledge-based (Intelligent) Environmental Decision Support System (IEDSS) specifically dedicated to the management of SBRs. The IEDSS is responsible for verifying, ensuring and enforcing the …

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 …

Modeling And Implementation Of A Geospatial Database For Environmental Niches And Potential Geographic Distributions, Gerardo José Zárate, Jugurta Lisboa-Filho, Carlos Frankl Sperber, Flavia Maria Da Silva Carmo

International Congress on Environmental Modelling and Software

The ecological niche of a species is defined by an array of biotic and abiotic requirements that allow organisms to live and reproduce in a geographic region. Abiotic data from the ecological niche in combination with occurrence data can be used to predict the potential geographic distribution of a species in different regions. Potential geographic distributions are useful in predicting the extent of invasive species, predict distributions as preparation for climate change and find appropriate regions for endangered species, among others. Geographic entities and environmental variables can be represented with a high-level abstraction in diagrams using formalism dedicated to model …

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 …

Essential Elements For Participatory Modelling: Using Deliberative Engagement And Gesture-Enabled Interfaces To Implement Energy-Mineral-Water Solutions In The Atacama Desert, Chile, Suzanne A. Pierce, Eugenio Figueroa B.

International Congress on Environmental Modelling and Software

Sound science and adequate models of systems are necessary for environmental decisions, yet frequently it is insufficient. The ENCOMPASS and ECOGES projects aim to create science-based deliberation among diverse stakeholders about water-energy-mineral use and choices in the Atacama Desert region of Chile. The projects seek to improve levels of understanding and open possibilities for collaborative problem solving by engaging industry, academics, and indigenous communities in a long- term participatory modeling process.

Since 2009 the initiative has brought people into collaborative discussions, building technical knowledge and bridging across sectors that are often at odds over management of earth resources. Today, participants …

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 …

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 …

3d Model Construction Of Water Supply System Pipes Based On Gpr Images, David Ayala-Cabrera, Joaquín Izquierdo, Silvia J. Ocaña-Levario, Rafael Pérez-García

International Congress on Environmental Modelling and Software

In this work, a GPR (ground penetrating radar) development is presented as a non-destructive technique. It allows the visualization of water supply system (WSS) pipelines buried into the ground. The main scope is in image (radargram) processing obtained from GPR, to ob tain improved data visualization. For the application of the technique, laboratory essays have been conducted. These essays were performed by burying a commonly used pipe in a tank that emu­ lates a small ground parcel. The images obtained were analysed and particular differences between them were observed. From this ensemble of images, a 3D model was generated to …

A Virtual Reality System To Monitor And Control Diseases In Strawberry With Drones: A Project, Rafael Rieder, Willingthon Pavan, José Maurício Carré Maciel, José Maurício Cunha Fernandes, Márcio Sarroglia Pinho

International Congress on Environmental Modelling and Software

Strawberry (Fragaria x ananassa Duchesne) is an important fruit crop in Brazil. Strawberry cultivation interest occurs because of high profitability, consumer acceptance and crop production diversity. Notwithstanding, diseases caused by fungi are a major problem in strawberry fields. For this reason, growers adopt rigid phytosanitary management practices in order to prevent losses. In this context, growers rely on the use of pesticides for controlling diseases. However, pesticide usage increases the product costs, reduces fruit quality and increases rejection by consumers. This paper presents a Virtual Reality system project to assist integrated disease management in strawberry using image processing. High quality …

Business Intelligence In Environmental Reporting Powered By Xbrl, Jiří Hřebíček, Michal Hodinka, Michael Ŝtencl, Oldřich Trenz

International Congress on Environmental Modelling and Software

The paper discusses several critical points of the whole concept of Business lntelligence (Bl) approach to environmental reporting powered by XBRL. First, and most important, is the usage of structured data delivered via XBRL. The main profit on usage of XBRL is the optimization of the Extract, Transform and Load (ETL) process and its combination commonly used best practices on data warehouse models. The whole Bl workflow could be moved further by additional data quality health checks, extended mathematical and logical data test, basics of data discovery and drill-down techniques. The state of the art on the XBRL level and …