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Enabling Efficient Use Of Earth Observations For Hydrologic Model Evaluation, Adnan Rajib, Linji Wang, Venkatesh Merwade Jul 2022

Enabling Efficient Use Of Earth Observations For Hydrologic Model Evaluation, Adnan Rajib, Linji Wang, Venkatesh Merwade

International Congress on Environmental Modelling and Software

Modelers often create multiple scenarios of a hydrologic model to evaluate the effects of climate change and watershed management decisions on model outputs, test a hypothesis, understand the implications of an improved input parameter or source code, and above all, validate the accuracy of model calibrations. Spatially distributed Earth Observations (EO) offer opportunities for evaluating watershed processes at different spatial scales as opposed to evaluating only streamflow at a few locations. Yet, making EO data ready for model evaluation remains challenging due the difficulty of getting these data to interoperate with the model structure. This becomes even more labor and …

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Visualizing Abm Submodels To Promote Stakeholder Participation: A Look Into Sustainable Forest Operations, Zenith Arnejo, Benoit Gaudou, Nathaniel Bantayan, Leonardo Barua Jul 2022

Visualizing Abm Submodels To Promote Stakeholder Participation: A Look Into Sustainable Forest Operations, Zenith Arnejo, Benoit Gaudou, Nathaniel Bantayan, Leonardo Barua

International Congress on Environmental Modelling and Software

Over the years, there has been an accumulation of different agent-based models (ABM) dedicated to forest resource management. However, only a few have been used in the implementation of real-world decision-making applications. One reason for this is the low level of stakeholder engagement in model development. There is still a significant gap between the stakeholders' understanding of the socioecological system and its corresponding representation as a process in a simulation model. In order to bridge this gap, it is necessary to communicate to the stakeholders the actual processes taking place in the simulation model. In this study, we developed an …

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Convergent Anthropocene Systems – A System Of Systems Approach, John Little, Amro Farid Jul 2022

Convergent Anthropocene Systems – A System Of Systems Approach, John Little, Amro Farid

International Congress on Environmental Modelling and Software

The greatest societal challenges of the Anthropocene are numerous and daunting, collectively spanning almost every discipline of science and engineering. Societies confronted with these challenges need to manage synergies and trade-offs across multiple systems, scales and levels of analysis. Unfortunately, most researchers tend to begin with their own subsystem and incrementally add a few interactions to a few other subsystems. Such incremental approaches ignore the dynamics of the larger systems and entirely overlook the fact that the societal challenges are interdependent. This fragmented approach is paralleled in policy circles. To overcome these challenges, we are inspired by system-of-systems approaches to …

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Reconstruction Of 20th Century Burned Area Through Recurrent Neural Networks, Seppe Lampe, Bertrand Le Saux, Inne Vanderkelen, Wim Thiery Jul 2022

Reconstruction Of 20th Century Burned Area Through Recurrent Neural Networks, Seppe Lampe, Bertrand Le Saux, Inne Vanderkelen, Wim Thiery

International Congress on Environmental Modelling and Software

The absence of a global long-term burned area dataset significantly hampers analyses of longterm trends in wildfire impacts. This prevents conclusive statements on the role of anthropogenic activity on wildfire impacts over the last century. Here, we construct a 1901-2014 data-driven reanalysis of monthly global burned area at a 0.5° by 0.5° scale. A recurrent neural network is trained with weather-related, vegetational, societal and economic input parameters, and burned area as output label for the 1982-2014 time period. This model is then applied to the whole 1901-2014 time period to create a data-driven, longterm burned area reanalysis. This reconstruction allows …

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The Development Of Oobn Pattern Language: Design Approach And Case Study In Sdg Modelling, Ebrahim Aly, Sondoss Elsawah, Michael J. Ryan Jul 2022

The Development Of Oobn Pattern Language: Design Approach And Case Study In Sdg Modelling, Ebrahim Aly, Sondoss Elsawah, Michael J. Ryan

International Congress on Environmental Modelling and Software

Bayesian Networks (BN) are graph models that have been widely used in modeling applications where uncertainty treatment is a key consideration. When such applications strive to depict complex systems, an extension to the BN that utilizes the concepts of Object-Oriented programming (OOP) paradigm is adopted to reduce the model’s complexity and increase its understandability and modularity, namely Object-Oriented Bayesian Networks (OOBN). Although OOBN serve as a versatile framework that is apt for addressing a wide range of the challenges pertinent to developing complex interdisciplinary models, the development of OOBN can be a challenging task that comprises multiple critical design choices …

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Integrating Equity Considerations Into Agent-Based Modeling: A Conceptual Framework And Practical Guidance, Tim G. Williams, Daniel G. Brown, Seth G. Guikema, Tom M. Logan Jul 2022

Integrating Equity Considerations Into Agent-Based Modeling: A Conceptual Framework And Practical Guidance, Tim G. Williams, Daniel G. Brown, Seth G. Guikema, Tom M. Logan

International Congress on Environmental Modelling and Software

Advancing equity is a multi-dimensional challenge for society, science, and policy. Agent-based models are increasingly used as scientific tools to advance system understanding, inform decision-making, and share knowledge. Yet, equity has not received due attention within the agent-based modeling (ABM) literature. In this work, we develop a conceptual framework and provide guidance for integrating equity considerations into ABM research and good modeling practice. The framework describes ABM as interfacing with equity outcomes at two levels: the science-society interface and within the model itself. The framework identifies the modeler as a filter and lens that projects knowledge between the target system …

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Understanding Usa Power Plants Renewable Behaviours With Data Science, Ignacio Peñafiel, Karina Gibert Jul 2022

Understanding Usa Power Plants Renewable Behaviours With Data Science, Ignacio Peñafiel, Karina Gibert

International Congress on Environmental Modelling and Software

Article Understanding USA Power Plants renewable behaviours with data science Ignacio Peñafiel (1), Karina Gibert (2) (1) Knowledge Engineering and Machine Learning group at Intelligent Data Science and Artificial Intelligence Research Center; Research Institute of Science and Technology for Sustainability; Universitat Politècnica de Catalunya-BarcelonaTech, Spain), [email protected] (2) Knowledge Engineering and Machine Learning group at Intelligent Data Science and Artificial Intelligence Research Center; Research Institute of Science and Technology for Sustainability; Universitat Politècnica de Catalunya-BarcelonaTech, Spain), [email protected] 1. Abstract: Background: Decarbonization, renewable energy and sustainability awareness are growing. Society and Governments target a share of power plants from renewable energy sources …

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Learning Latent Representations For Operational Nitrogen Response Rate Prediction, Pylianidis Christos, Athanasiadis N. Ioannis Jul 2022

Learning Latent Representations For Operational Nitrogen Response Rate Prediction, Pylianidis Christos, Athanasiadis N. Ioannis

International Congress on Environmental Modelling and Software

Learning latent representations has aided operational decision-making in several disciplines. Its advantages include uncovering hidden interactions in data and automating procedures which were performed manually in the past. Representation learning is also being adopted by the environmental sciences. However, there are still subfields that depend on manual feature engineering based on expert knowledge and the use of algorithms which do not utilize the latent space. Relying on those techniques can inhibit operational decision-making since they impose data constraints and inhibit automation. In this work, we adopt a case study for nitrogen response rate prediction and examine if representation learning can …

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Spatio-Temporal Variability Of Dry And Wet Spells And Their Influence On Crop Yields, Hans Van De Vyver, Anne Gobin Jul 2022

Spatio-Temporal Variability Of Dry And Wet Spells And Their Influence On Crop Yields, Hans Van De Vyver, Anne Gobin

International Congress on Environmental Modelling and Software

We analyse the relationship between variations in crop yields across Belgium and dry (wet) spell metrics during the crop growing season. More specifically, we consider the number of consecutive dry (wet) days, and the total amount of rainfall during consecutive wet days. Dry (wet) days were defined as days with less (more) than 0.2 mm. A two-way ANOVA is employed to indicate statistically significant relationships between dry/wet spell metrics and regional crop yields. We make an extreme value analysis of the dry and wet spell metrics and estimate 20-year return levels, relevant to agricultural insurances and risk management strategies. We …

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Development Of An Engineering With Nature (Ewn) Design Tool, Billy Johnson, Charles Downer, Todd Steissberg, Nawa Pradhan Jul 2022

Development Of An Engineering With Nature (Ewn) Design Tool, Billy Johnson, Charles Downer, Todd Steissberg, Nawa Pradhan

International Congress on Environmental Modelling and Software

The U.S. Army Corps of Engineers (USACE) has a major responsibility for the regulation of the Nation’s streams, rivers, and waterways. This often requires developing water quality models to resolve issues and concerns with regard to the environment and ecosystems. USACE Engineer Research and Development Center (ERDC) is currently developing an Engineering with Nature Design Tool supported by years of research and development in the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model and a suite of Water Quality and Ecosystem Models (Clearwater Water Quality Modules). GSSHA is a physics-based, distributed, hydrologic, sediment and constituent fate and transport model. Features include …

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Crop Modelling At Scale Using Cloud And Hpc Infrastructures, Rob Knapen, Allard De Wit, Eliya Buyukkaya, Petros Petrou Jul 2022

Crop Modelling At Scale Using Cloud And Hpc Infrastructures, Rob Knapen, Allard De Wit, Eliya Buyukkaya, Petros Petrou

International Congress on Environmental Modelling and Software

The well-known World Food Studies simulation model (WOFOST) is a process model for the quantitative analysis of the growth and production of annual field crops. Over time this model has been implemented by quite a few organizations, using a diverse range of programming languages such as R (Rwofost), Python (The Python Crop Simulation Environment (PCSE)), C# and the original version in Fortran. Most frequently the model is being deployed on single computers or laptops, which poses limits to the number of simulations that can be performed within a reasonable timeframe. A recent development is the Java implementation of WOFOST, based …

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Assessing Holistic Sustainability Of Riparian Buffer Designs Usingdata Envelopment Analysis, Not Listed Jul 2022

Assessing Holistic Sustainability Of Riparian Buffer Designs Usingdata Envelopment Analysis, Not Listed

International Congress on Environmental Modelling and Software

Riparian buffer zones (RBZs) represent best management practices (BMPs) that can provide multiple benefits to watershed ecosystems. However, the holistic sustainability assessment of individual RBZ designs is at infancy. We discuss RBZ sustainability indicators that include five river water quality parameters as environmental indicators, namely, dissolved oxygen (DO), total phosphorus (TP), total nitrogen (TN), total suspended solids as sediment (TS), and biochemical oxygen demand (BD), and an economic indicator of net present value (NPV) costs. We then present an approach for integrating the sustainability indicators of 120 RBZ decision management objectives (DMOs) that are derived from the combination of RBZ …

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Updates And Enhancements To Usepa’S Cyanweb Web Application For Early Detection Of Harmful Algal Blooms To Protect Human Health In Recreational Waters, John M. Johnston, Deron Smith, Kurt Wolfe, Rajbir Parmar Jul 2022

Updates And Enhancements To Usepa’S Cyanweb Web Application For Early Detection Of Harmful Algal Blooms To Protect Human Health In Recreational Waters, John M. Johnston, Deron Smith, Kurt Wolfe, Rajbir Parmar

International Congress on Environmental Modelling and Software

The Cyanobacteria Assessment Network (CyAN) is a multi-agency (NASA, USGS, NOAA, and USEPA) project to support the safe public use of U.S. lakes and reservoirs and includes delivery of satellite images of algal blooms via a web-based application developed and hosted by the USEPA. CyANWeb is usable on most internet-connected devices via a web browser and operational on any device operating system platform. CyANWeb uses the JavaScript Angular web framework for cross-platform functionality and mirrors the functionality of the CyAN Android mobile application released in 2019. Cyanobacterial images are derived from the European Space Agency’s Copernicus Sentinel-3 satellite Ocean and …

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Gamified Process Of Conceptual Model Development With Stakeholders, Elena Bakhanova, Jaime Garcia, William Raffe, Alexey Voinov Jul 2022

Gamified Process Of Conceptual Model Development With Stakeholders, Elena Bakhanova, Jaime Garcia, William Raffe, Alexey Voinov

International Congress on Environmental Modelling and Software

Despite the positive influence of gamification on increasing engagement and motivation, there are a limited number of cases when the participatory modeling (PM) process has been gamified. In this research we focused on gamifying the stage of Conceptual Model Development because there are almost no examples when it has been gamified in any way. At the same time, this stage is very important for the overall PM process because it is associated with the first workshops where the stakeholders might experience difficulties in learning the modeling language and interacting in a group with diverse views. Hence, there is a need …

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Modelling Trichodesmium Dynamics And Its Contribution To The Great Barrier Reef Nitrogen Budget, Chinenye J. Ani, Stephen Lewis, Scott Smithers, Mark Baird Jul 2022

Modelling Trichodesmium Dynamics And Its Contribution To The Great Barrier Reef Nitrogen Budget, Chinenye J. Ani, Stephen Lewis, Scott Smithers, Mark Baird

International Congress on Environmental Modelling and Software

Trichodesmium is a nitrogen-fixing marine cyanobacterium, proposed to be an important source of “new” nitrogen (i.e., nitrogen that is not generated from remineralised organic matter) in the Great Barrier Reef. We estimated the contribution of nitrogen fixation by Trichodesmium to the Great Barrier Reef’s annual nitrogen budget using the CSIRO Environmental Modelling Suite (EMS), a coupled hydrodynamic, biogeochemical and sediment modelling system. EMS outputs were improved by optimally parameterising the temperature dependence of Trichodesmium physiological rates to capture influence of ongoing temperature increases associated with climate change. The model estimated that Trichodesmium contributed 0.49 MT to the nitrogen budget between …

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Serious Games To Support Participatory Modeling In Integrated Water Resource Management, John Kucharski, Jennifer Olszewski Jul 2022

Serious Games To Support Participatory Modeling In Integrated Water Resource Management, John Kucharski, Jennifer Olszewski

International Congress on Environmental Modelling and Software

To build consensus around inherent multi-objective trade-offs integrated water resource management (IWRM) decisions usually requires structured collaboration across multiple stakeholder groups and decision-making authorities. For this reason, participatory modeling (PM) is often at the core of IWRM decision-making processes. However, the diversity and complexity of physical, social, and environmental dynamics in water resources systems is a substantial barrier to PM in these contexts, because it makes developing a shared understanding of the system difficult. This presentation will recount the iterative development of a serious game designed to help IWRM teams achieve the cognitive, social, and practical milestones necessary to achieve …

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Leveraging Modern Programming Languages To Streamline Coastal Engineering Decisions: The Development Of The Usace Coastal Engineering Toolkit (Ucet), Theresa R. Coumbe, Amanda R. Catlett, Scott D. Christensen, Mary A. Bryant Jul 2022

Leveraging Modern Programming Languages To Streamline Coastal Engineering Decisions: The Development Of The Usace Coastal Engineering Toolkit (Ucet), Theresa R. Coumbe, Amanda R. Catlett, Scott D. Christensen, Mary A. Bryant

International Congress on Environmental Modelling and Software

The Automated Coastal Engineering System (ACES) is an interactive, computer-based design and analysis system for coastal engineering applications. Even though it was designed in the 1990s and is built on legacy software, making it cumbersome to use by today’s standards (e.g, DOS-based with keystroke inputs), ACES continues to be actively applied in the coastal engineering community for planning and finding simple estimates. Using Python, and modern open-source libraries like Param and Panel, we developed the USACE Coastal Engineering Toolkit (UCET), an intuitive, web-based interface that will enable the broader coastal engineering community, academia, non-governmental organizations, and the general public access …

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A Cross-Sectoral Look At The Use Of A Frame Game To Set Strategic Agendas For Urban Resilience, Carissa Champlin Jul 2022

A Cross-Sectoral Look At The Use Of A Frame Game To Set Strategic Agendas For Urban Resilience, Carissa Champlin

International Congress on Environmental Modelling and Software

The ability to integrate knowledge that is distributed across a broad range of research disciplines and professions is crucial to responding effectively to the grand challenges pressing our societies. Urban resilience being one of these challenges requires coordinated responses to the shocks and stresses that threaten our highly interconnected social, technical and environmental systems in cities and regions. Using the Weblinx strategy-making frame game, a group of resilience engineering assistant professors and other academics prioritized key topics of urban resilience originating from their various domains of expertise. The adaptable frame game methodology also proved to be effective in an online …

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Clearwater-Riverine: An Integrated Water Quality Modeling Framework For Riparian And Floodplain Ecosystems, Todd E. Steissberg, Billy E. Johnson, Zhonglong Zhang, Mark Jensen Jul 2022

Clearwater-Riverine: An Integrated Water Quality Modeling Framework For Riparian And Floodplain Ecosystems, Todd E. Steissberg, Billy E. Johnson, Zhonglong Zhang, Mark Jensen

International Congress on Environmental Modelling and Software

Watersheds comprise a complex web of interactions as water, heat, nutrients, and contaminants flow in varying frequency and quantities through riverine ecosystems. Integrated process-based riverine water quality models that incorporate these processes and interactions in river channels, riparian buffers, and floodplain ecosystems are needed to predict changes to watersheds due to stressors such as land use and climate change, as well as changes associated with beneficial actions, such as ecosystem restoration. ClearWater-Riverine, the U.S. Army Corps of Engineers Engineer Research and Development Center’s (USACE-ERDC) new state-of-the-art riverine water quality modeling system, simulates water temperature and water quality in branching river …

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Addressing The Effect Of Image Classification Techniques And Its Impact On Modelling The Causative Factors Of Urban Densification, Anasua Chakraborty, Ahmed Mustafa, Hichem Omrani, Jacques Teller Jul 2022

Addressing The Effect Of Image Classification Techniques And Its Impact On Modelling The Causative Factors Of Urban Densification, Anasua Chakraborty, Ahmed Mustafa, Hichem Omrani, Jacques Teller

International Congress on Environmental Modelling and Software

The proportion of world’s population living in the cities has grown exponentially in the last 5 decades and it is expected to reach over 9.3 billion by 2050. The rising number of urban dwellers is due to the increase in the spatial extent of cities and metropolitan areas. Urban densification is a mechanism for intensifying the physical form and realizing compact cities rather than sprawling urban areas. Spatial patterns of urban structure is frequently concomitant with densification. In order to understand the relation, it is relevant to study different causative factors, which can be categorized into physical, economic, environmental, accessibility …

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Managing Urban Water System Trade-Offs Using Smart Storages, Ruijie Liang, Mark A. Thyer, Holger R. Maier, Graeme C. Dandy Jul 2022

Managing Urban Water System Trade-Offs Using Smart Storages, Ruijie Liang, Mark A. Thyer, Holger R. Maier, Graeme C. Dandy

International Congress on Environmental Modelling and Software

Water balances in urban environments are changing as a result of population growth, urbanisation and climate and land use change. This has a number of potential impacts, including increased demand for water, increased flooding and a reduction in water quality, especially in receiving waters. The optimal placement and control of smart storages throughout urban catchments provide an opportunity to better manage these impacts, as this can reduce flood peaks, provide a source of water and improve downstream water quality. In this paper, the trade-offs between flood reduction, water supply benefits, water quality benefits, required total storage volume and costs are …

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The Environmental Fate, Transformation, And Speciation Of Nano Copper Oxide In A Freshwater Environment, Bianca N. Ross, Christopher D. Knightes Jul 2022

The Environmental Fate, Transformation, And Speciation Of Nano Copper Oxide In A Freshwater Environment, Bianca N. Ross, Christopher D. Knightes

International Congress on Environmental Modelling and Software

The use and production of engineered nanomaterials have grown rapidly over the past few decades due to their unique properties and versatility. As a result of widespread industrial applications, nanomaterials have evolved into their own unique class of emerging contaminants. However, the full extent of nanomaterials’ impact on the environment is currently unknown. In this study, we use the Water Quality Analysis Simulation Program (WASP, version 8.32) to investigate the fate, transformation, and speciation of nano copper oxide (nanoCuO), a common component of antifouling boat-bottom paints, in a freshwater environment over the course of 101 years. WASP serves as a …

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Air Pollution Control Methods And Environmental Impacts Of The Cement Manufacturing Industry : A Case Study, Sahar Sadat Hosseini, Maryam Zare Shahneh Jul 2022

Air Pollution Control Methods And Environmental Impacts Of The Cement Manufacturing Industry : A Case Study, Sahar Sadat Hosseini, Maryam Zare Shahneh

International Congress on Environmental Modelling and Software

Cement manufacturers may now generate more significant volumes than in the past due to technological advancements and a rise in demand for cement in the construction industry. Higher production levels, on the other hand, have been widely attributed to being the primary source of pollution. The most notable contaminants in the air are Methane, Fume, Dust, Nitrogen oxide, Sulphur oxide, Carbon oxide, and Carbon dioxide, which are the byproducts of cement manufacturers and also harmful to human and plant health through respiration. Excavation activities, dumps, tips, conveyer belts, crushing mills, and kiln emissions are the primary sources of air pollution …

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The Impact Of Climate Change On Droughts In Central Asia Assessed Using Regional Climate Models, Bert Van Schaeybroeck, Stijn Buytaert, Sara Top, Steven Caluwaerts Jul 2022

The Impact Of Climate Change On Droughts In Central Asia Assessed Using Regional Climate Models, Bert Van Schaeybroeck, Stijn Buytaert, Sara Top, Steven Caluwaerts

International Congress on Environmental Modelling and Software

Climate change is expected to aggravate the frequency and intensity of extreme weather events such as droughts but impacts are found to strongly vary per region. For different reasons the region of Central Asia has been sparsely studied in that respect. To enable well-informed decision making for adaptation and mitigation, however, regional authorities in Central Asia are interested in a comprehensive and scientifically-based assessment. This work will provide an assessment of the impact of climate change on droughts that affect the agriculture and forestry in Central Asia, based on recently produced climate projections of regional climate models. The aim is …

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A Hybrid Approach To Weather Seasonality Study And Forecasting, Masooma Suleman, Peter Khaiter Jul 2022

A Hybrid Approach To Weather Seasonality Study And Forecasting, Masooma Suleman, Peter Khaiter

International Congress on Environmental Modelling and Software

In the recent years, climate change produces a profound impact on the seasonality shifting. For example, even a slight variation in temperature may trigger an early spring start. This study presents a hybrid application of machine learning and deep learning to analyze the shifts in seasons across contiguous years and to accurately forecast weather variables. The daily meteorological features (minimum temperature, maximum temperature, wind speed, precipitation, snow cover, etc.) collected for the City of Toronto (Canada) area over a 20-year period spanning from 1st January 2001 till 31st December 2020 are used in the study. The temporal data has been …

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Optimal Management Of Irrigation Water Using Ant Colony Optimisation, Duc Cong Hiep Nguyen, Holger Maier, Graeme Dandy Jul 2022

Optimal Management Of Irrigation Water Using Ant Colony Optimisation, Duc Cong Hiep Nguyen, Holger Maier, Graeme Dandy

International Congress on Environmental Modelling and Software

Irrigation is vital for food production in many parts of the world, particularly in dry areas or in periods of water scarcity. However, with growing water demands due to population growth, economic development and climate change, there is likely to be a significant reduction in the amount of water available for irrigation. This challenges how to manage the available irrigation water in the most effective way. The feasible solutions of this problem are (i) the optimal allocation of land and water resources for irrigation management to maximise net return, subject to constraints on area and water allocation and (ii) the …

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Monitoring Changes In Agricultural Water Use Efficiency Related To Sdg Indicator 6.4.1 Using Wapor Data, Seleshi Yalew, Marloes L. Mul, Sajid Pareeth, Celine Safi Jul 2022

Monitoring Changes In Agricultural Water Use Efficiency Related To Sdg Indicator 6.4.1 Using Wapor Data, Seleshi Yalew, Marloes L. Mul, Sajid Pareeth, Celine Safi

International Congress on Environmental Modelling and Software

Satellites nowadays provide a large amount of data useful for monitoring biophysical environmental changes. The FAO Water Productivity Open-access portal (WaPOR) compiles such satellite data into a database comprising of various components required to estimate water productivity at various spatial resolutions for the Africa and MENA regions. In addition to maps and statistics generated at national or sub-national administrative levels to monitor the status and progress of sustainable development goal (SDG) indicators, remote sensing derived products such as WaPOR provide opportunity to develop value added applications. In this study, we developed a dashboard using the Google Earth Engine (GEE) platform …

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Design And Development Of Datalabs For Environment Data Science, Maria Salama, Gordon S. Blair Jul 2022

Design And Development Of Datalabs For Environment Data Science, Maria Salama, Gordon S. Blair

International Congress on Environmental Modelling and Software

Research in Environmental Data Science is trans-disciplinary, where scientists and practitioners from different disciplines create data-driven solutions to environmental challenges, often using a large amount of data along with analytical methods. DataLabs, in continuous development by UKCEH using the agile approach, is a cloud-based virtual research platform that advocates open science by providing the infrastructure and software tools for collaborating scientists to explore big data, develop and share new methods, and communicate their results to stakeholders and decision-makers. The architecture of DataLabs follows the principles of service-oriented architectures, to enable selecting the most appropriate technology for each component and exposing …

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Including Varying Degrees Of Stakeholder Input In The Optimisation Of Integrated Water Management Planning And Design, Holger R. Maier, Michael Di Matteo, Graeme C. Dandy Jul 2022

Including Varying Degrees Of Stakeholder Input In The Optimisation Of Integrated Water Management Planning And Design, Holger R. Maier, Michael Di Matteo, Graeme C. Dandy

International Congress on Environmental Modelling and Software

Sustainable integrated water management (IWM) requires collaborative planning and design approaches. The complex engineering systems involved can have a large number of options and multiple benefits and costs to multiple stakeholders. Understanding trade-offs between options with respect to these diverse benefits and costs can increase decision-maker buy-in to negotiated outcomes on IWM performance requirements and engineering solutions. Optimisation frameworks using evolutionary algorithms (such as genetic algorithms) can be tailored to the level of stakeholder interaction required to encourage buy-in into the modelling process and adopted solutions. This paper presents a series of three (3) IWM planning and design evolutionary optimisation …

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Scalable Orchestration Of Containerized Science Applications, Deron Smith, Kurt Wolfe, Rajbir Parmer Jul 2022

Scalable Orchestration Of Containerized Science Applications, Deron Smith, Kurt Wolfe, Rajbir Parmer

International Congress on Environmental Modelling and Software

Scientific computing applications can be complex to design, difficult to deploy, and expensive computationally. Using the latest advances in software engineering and cloud technologies, we can greatly mitigate these challenges while also providing new opportunities to pursue research with increased flexibility. Our Hydrologic Micro Services (HMS) technology stack has been developed as a containerized set of components, orchestrated through Kubernetes, that can be managed, updated, and deployed with relative ease to any cloud platform. The general framework can be applied to a variety of different scientific software applications, that can be containerized, providing the ability to quickly create complete technology …

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