Computer Engineering Commons^™

From Raw Material To Biofuel Demand: The Agraf Model, Coline Assaiante, Pierre-Alain Jayet, Frédérick Lantz

International Congress on Environmental Modelling and Software

The search for energetic independence, for boosting local economies and for reducing polluting emissions, has supported bioenergy’s development and biofuels in particular. Mandatory biofuels incorporation rates have been recently established in several countries, including the European Union, in order to promote the use of renewable energetic resources in spite of several criticisms toward biofuels relating to their impacts on food security, the environment and the conflicts associated with resource allocations. To study existing concerns on the growth, the profitability, the limiting factors biofuels, as well as the impacts of current policies in force, a highly parameterized operational modelling tool (AGRAF) …

Monitoring Agricultural Landscapes Dynamics Using The Complementarities Of Optical, Microwave And Thermal Remote Sensing Data, Cheul Benoît, Coudert Benoit, Baup Frederic

International Congress on Environmental Modelling and Software

The goal of this study is to establish links between crop trajectories (governed by environmental conditions and agricultural practices) and the ability of optical, radar and thermal imagery to inform water budget, crop phenology and biomass characteristics. The perspective of this study is to take advantage of the three main domains of wavelength to sequentially constrain static (parameters) and dynamic variables of agrometeorological and SVAT (Soil Vegetation Atmosphere Transfers) models for water budget and biomass simulation. As of now, only the association of microwave or thermal infrared with visible optical data are considered to instantaneously estimate information of the surface …

Cfd Simulation Of Snow Fences, S. J. Wakes

International Congress on Environmental Modelling and Software

Snow fences play a significant role in transporting snow away from roads, buildings and recreational areas. Although some guidelines for fence design exist these are mostly empirical in nature and are potentially difficult to apply in complex terrain and for multiple fences scenarios. Numerical modelling of the wind flow and snow transportation using Computational Fluid Dynamics (CFD) has the potential to allow site-specific topographies to be considered with multiple fence designs for optimisation. Manipulation of the snowfield to emulate climate change effects in New Zealand for a long term ecology monitoring project involved two angled porous fences set up with …

In Situ Data Visualization Of Acme Land Model Simulations, Yu Pei, Benjamin Hernandez, Dali Wang, Brian Smith, Scott Atchley, Fengming Yuan, Chad Steed

International Congress on Environmental Modelling and Software

With the ever increasing precision and complexity of various environmental models, writing large volumes of [email protected] to disk for post-processing becomes a huge bottleneck, and simulation modules diagnostic and tracking become difficult for scientists as well. In this paper, we propose a loosely coupled in situ visualization framework to address these problems when working with a representative land model within the Accelerated Climate Modeling for Energy (ACME). ACME land model (ALM) simulates energy, water, carbon nitrogen fluxes and state variables for various land surfaces. Loosely coupled in situ framework means simulation and visualization communicate through network, while tightly coupled means …

Location, Identification, And Low Complexity Tracking Algorithms With An Image Compression Strategy For A Long Term Multi-Tracking Application, Ramon Reig-Bolaño, Pere Marti-Puig, Moisès Serra-Serra

International Congress on Environmental Modelling and Software

A biological experiment that requires a continuous tracking of a group of 10 to 20 fish specimens was designed to obtain empirical data to estimate biological energy models from specimen’s activity. The surface in which specimens can move is enormous (2,5m x 5m) in comparison to the sizes of the individuals and it is mandatory to work with high resolution images in order to cover all the area. Furthermore, as each experiment must work uninterruptedly during fifteen days the cost of storing and post-processing all the generated information in its rough form is prohibitive, incurring into a big data problem. …

Contribution Of Remote Sensing Data To Hydrological Simulations: Case Of The Garonne Catchment In The South-West Of France, Grégory Espitalier-Noël, José-Miguel Sanchez-Perez, Youen Grusson, François Anctil, Mélanie Bardeau, Sylvain Biancamaria, Simon Gascoin, Pierre Le Cointe, Patrick Le Moigne, Moussa Mballo, François Moussu, Eric Martin, Sabine Sauvage

International Congress on Environmental Modelling and Software

(Semi-)Distributed hydrological models often poorly simulate all reservoirs in sub-basins because they rather focus on obtaining a correct streamflow at sub-basin’s outlet. In situ networks are point based estimates of a flux and their locations are not always dense enough to validate reservoirs at the model spatial scale. Remote sensing data, however, can provide spatially distributed information on a specific reservoir (with less accuracy than in situ measurements) and are an alternative source of data to calibrate and evaluate model outputs, which can only be performed with (semi-)distributed hydrological models. We present a comparison between remote sensing data and hydrological …

Co2 Emissions Scenarios From A Database Of Diverse Socio-Economic Pathways, Céline Guivarch, Julie Rozenberg, Vanessa Schweizer

International Congress on Environmental Modelling and Software

The Shared Socio-economic Pathways, or SSPs, are the next generation of socio-economic scenarios following the SRES. The SSP framework recognizes that different socio-economic conditions may lead to similar levels of emissions, or radiative forcing. This implies that any given level of radiative forcing may have very different socio-economic impacts depending on the conditions associated with it. To uncover different socio-economic conditions associated with any level of radiative forcing, we propose a methodology based on “scenario discovery” cluster analysis. With a database of hundreds of scenarios, we demonstrate how this method can identify very different groups of socio-economic scenarios sharing common …

Integrating Landscape Structure Into Participatory Bayesian Network Models Of Habitat Suitability, J. G. Froese, C. S. Smith, C. A. Mcalpine, P. A. Durr, R. D. Van Klinken

International Congress on Environmental Modelling and Software

Species distribution and habitat suitability models are widely used to inform decisions about conservation, resource or invasion management. Bayesian networks (BN) have received increasing attention in environmental modelling and habitat suitability modelling. Some important advantages of BNs are: a) they lend themselves to a participatory modelling framework including calibration from expert knowledge, explicit treatment of uncertain or missing knowledge and scenario analysis for decision support; b) they model responses specifically from interactions of influential habitat variables rather than statistical correlations; and c) recent advances have greatly simplified spatially-explicit applications (PMAT, https://github.com/DriesLanduyt/PMAT, QUICKScan, http://www.quickscan.pro or GeoNeticaTM, https://www.norsys.com). However, limited …

Replicability Of A Modelling Solution Using Newage-Jgrass, Marialaura Bancheri, Giuseppe Formetta, Francesco Serafin, Riccardo Rigon, Timothy R. Green, Olaf David

International Congress on Environmental Modelling and Software

NewAge-JGrass is a semi-distributed hydrological modelling system. It is based on the object-oriented modelling framework (OMS version 3), on the JGrasstools and on the Geotools. To make it more effective, it is interoperable with many other tools such as R-project, gvSIG GIS, GitHub and other collaborative sharing tools, such as Authorea.

OMS3 allows to create science simulation components, which are implemented with a standard, well-defined purpose and interface. The encapsulation of the source code in components make them easier to be inspected and its copyleft license allows the easy access to the code, its use and its improvement. The components …

Effectiveness Of Incentives To Promote Adoption Of Water Sensitive Urban Design: A Case Study On Rain Water Harvesting Tanks, M. S. Iftekhar, C. Urich, S. Schilizzi, A. Deletic

International Congress on Environmental Modelling and Software

Water sensitive urban design (WSUD) often consists of decentralized multi-functional technologies which are capable of producing both private and public benefits. However, private costs often outweigh private benefits, and therefore agencies must often provide incentives to encourage adoption of such technologies. Scarce resources also require cost-effective schemes. However, there is a lack of comprehensive analysis of the performance of incentive schemes to promote WSUD. In this paper, we develop an agent-based model to study the effectiveness of an incentive scheme to promote adoption of rain water tanks. Using a case-study based on Melbourne, we study how its cost-effectiveness changes with …

Group-Based Crop Change Planning: Application Of Smartscapetm Spatial Decision Support System For Resolving Conflicts, Amin Tayyebi, Jamal J. Arsanjani, Amir H. Tayyebi, Hichem Omrani, Hossein S. Moghadam

International Congress on Environmental Modelling and Software

Agricultural changes are complex and managing an appropriate type of crop change to satisfy stakeholders with various interests is challenging. Decisions regarding a crop change need to be debated among multiple stakeholders with various conflicting viewpoints. Two kinds of conflicts might occur as a result of crop change in an agricultural landscape: 1) conflicts among multiple ecosystem services i.e., internal conflicts and 2) conflicts among multiple stakeholders i.e., external conflicts. In this study, we held a series of meetings with stakeholders, who were experts in economics, energy, soil erosion, greenhouse gas emission, surface water, and biodiversity, to develop two crop …

Predictive Species Distribution Models Of Three Range-Expanding Mammal Species In Japan, Shinji Fukuda, Shiho Saito, Koji Osato, Koichi Kaji

International Congress on Environmental Modelling and Software

Three mammal species, namely sika deer (Cervus nippon), wild boar (Sus scrofa), and Japanese monkey (Macaca fuscata), have been rapidly expanding their distribution ranges in the last 50 years, and are heavily impacting agriculture and forestry in Japan. This paper aims to demonstrate how random forests can be applied as a tool for predictive modelling of the spatial distributions of the three species recorded in 1978 and 2004. Twenty one habitat variables regarding landuse, topographic and climatic factors were considered when modelling the species distributions. In order to understand controlling factors of their distributions …

Constraint Programming Versus Mip For Lca-Based Multi-Objective Optimization Of Sustainable Potable Water Production Plants, Florin Capitanescu, Antonino Marvuglia, Enrico Benetto, Aras Ahmadi, Ligia Tiruta-Barna

International Congress on Environmental Modelling and Software

Many real-world multi-objective optimization (MOO) problems rely on computationally expensive simulators of industrial processes and require solutions within a limited time budget. In this context, we propose a heuristic approach which aims at building a surrogate problem model, solvable by computationally efficient optimization methods, in order to quickly provide a sufficiently accurate estimation of the Pareto front. The proposed approach generates a multi-objective mixed-integer programming (MO-MIP) proxy model of the MOO problem using sensitivity-based piece-wise linear approximation of objectives and constraints. The approximation of the Pareto front is obtained by applying the ε-constraint method to the multi-objective surrogate problem, …

Parameterizing Bayesian Networks With A Game: A Case-Study From North-Eastern Madagascar, Enrico Celio, Adrienne Grêt-Regamey

International Congress on Environmental Modelling and Software

In participatory modeling, actors are a main source of information and at the same time users of the model outputs. Many different approaches have been applied for incorporating actors into modeling processes. While games have proven to be valuable as a mean for parameterizing agent- based models, they have never been used to parameterize Bayesian networks even though Bayesian networks have been extensively used in participatory approaches.

The reasons for the absence of gaming approaches in the parameterization of Bayesian networks are potentially two-fold: (1) assessing of the conditional probabilities in the network is complex as, both, probability and conditions …

Numerical Modelling Of Particle Capture Efficiency And Fine Particles Sampling With Series Impaction Sizer, C-H Huang, Y-Y Chang

International Congress on Environmental Modelling and Software

Numerical modelling of particle capture efficiency and fine particles sampling are important for designing a series impaction sizer. This study generated liquid particles using an ultrasonic atomizing nozzle to examin the particle capture efficiency of the series impaction sizer. The aerosol number concentrations of the inlet and outlet of the series impaction sizer were measured by an aerodynamic particle sizer. Numerical analysis including the flow field of the impaction sizer was calculated by solving the Navier-Stokes equations in the cylindrical coordinate and the governing equations were discretized by means of the finite volume method. The particle equations of motion in …

One Dimensional Riverine Water Quality Modeling System (Hec-Ras/Nsm), Billy E. Johnson, Zhonglong Zhang

International Congress on Environmental Modelling and Software

The transport of nutrients from watersheds to aquatic resources (streams and rivers, lakes and reservoirs, and coastal zones) directly influences their environmental quality and ecosystem. While this is a natural process, excessive inputs from anthropogenic sources (e.g., intensive agriculture) can exceed the assimilative capacity and resilience of aquatic ecosystems. The result is accelerated rates of eutrophication and destabilized ecological communities susceptible to the establishment of invasive species or to changes in food web structure, loss of valuable habitat, threats to human health, and reduced economic and societal benefits. As part of the Ecosystem Management and Restoration Research Program (EMRRP), a …

‘Plain-View’ Earth System Simulation, Christian Neuwirth

International Congress on Environmental Modelling and Software

Hard-coded models of the earth system are typically perceived as ‘black boxes’, which are unserviceable by anyone other than those who developed the model. This constitutes a constraint to open innovation and cross-disciplinary model building. Likewise, the use of icon-based solutions is restricted by inappropriate performance on a larger spatial scale. This contribution, introduces a middleware program for the synchronization of icon-based software with GIS software. Parallel programming is used to boost simulation performance. In contrast to mainstream modeling environments such as SIMILE or NOVA, spatiotemporal modeling capabilities are supported by GIS interoperability. This enables interactive spatial analyses, access to …

Water Resources Decision Support Under Deep Uncertainty: A Classification Of Model-­Based Frameworks And Challenges For Scenario Discovery, J. Herman, P. Reed, H. Zeff, G. Characklis

International Congress on Environmental Modelling and Software

Recent work in water systems planning has focused on exploratory “bottom-­up” decision support frameworks, which aim to identify robust solutions capable of withstanding deviations from the conditions for which they were designed. Here we organize these frameworks according to their methods of (1) alternative generation, (2) sampling of states of the world, (3) quantification of robustness measures, and (4) machine learning and sensitivity analysis methods to identify influential uncertainties. We demonstrate these methods using an urban water portfolio planning problem in North Carolina, a region whose water supply faces both climate and population pressures. The task of scenario sampling poses …

Pre-Processing Scada Data From Wind Turbines As A Previous Stage To The Application Of Prognosis Algorithms, Alejandro Blanco, Juan José Cárdenas, Isaac Justicia, Jordi Solé-Casals, Pere Marti-Puig

International Congress on Environmental Modelling and Software

Modern wind turbines in operation today record more than 200 analogous variables at intervals of 5 to 10 minutes by their SCADA (Supervisory Control and Data Acquisition) system. The SCADA data often comprise temperature values from a variety of measurement positions in the turbine, pressure data, electrical quantities such as line currents and voltages or pitch-motor currents, tower vibration, etc. The Wind Turbine’s data pre-processing is a task that faces diverse difficulties. The main are the atypical values produced by a miss configuration of the SCADA, the information lost about the alarms states (activations/deactivations) and the information loss when the …

Time Series Analyst: Interactive Online Visualization Of Standards Based Environmental Time Series Data, Jeffery S. Horsburgh, Amber Spackman Jones, Maurier Ramírez, Juan Caraballo

International Congress on Environmental Modelling and Software

Visualization is a common need of many researchers, organizations, and projects that collect and use environmental sensor data. Web-based tools can provide screening-level visualization and data analysis functionality for users with a range of technical expertise. However, it is difficult to integrate data from multiple sources due to syntactic and semantic differences in data formats and different data delivery mechanisms that are not always interoperable. We developed an open-source time series visualization tool called the Time Series Analyst (TSA) that integrates data from multiple sources using web service interfaces and a standardized data encoding format. The TSA provides multiple types …