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Articles 31 - 60 of 361
Full-Text Articles in Computer Engineering
Development And Evaluation Of A Parsimonious Agro-Hydrological Model To Assess Agricultural Managements Strategies For Climate Change Adaptation, H. Van Gaelen, E. Vanuytrecht, P. Willems, J. Diels, D. Raes
Development And Evaluation Of A Parsimonious Agro-Hydrological Model To Assess Agricultural Managements Strategies For Climate Change Adaptation, H. Van Gaelen, E. Vanuytrecht, P. Willems, J. Diels, D. Raes
International Congress on Environmental Modelling and Software
While simple crop and hydrological models are limited with respect to the number and accuracy of the processes they incorporate, complex models have high demand for data. Due to these limitations, there is a need for new agro-hydrological models that can simulate the impact of agronomic and environmental changes on both crop productivity and water availability in agricultural catchments, without vast data requirements for model input and calibration. AquaCrop-Hydro was developed to fill the need for a such a parsimonious, physically sound and widely applicable agro- hydrological model. The model was developed by linking the process-based AquaCrop crop water productivity …
Spatial Evolution Of Urban Fabrics Extracted From Spatiotemporal Topographic Database Using Symbolic Dynamic Time Warping, Pierre Gançarski, Anne Puissant, François Petitjean
Spatial Evolution Of Urban Fabrics Extracted From Spatiotemporal Topographic Database Using Symbolic Dynamic Time Warping, Pierre Gançarski, Anne Puissant, François Petitjean
International Congress on Environmental Modelling and Software
This article introduces a new methodology dedicated to extracting the evolution of urban blocks from spatiotemporal topographic databases where an urban block is defined as the smallest area that is surrounded by communication network. To achieve this analysis, we apply the ascendant hierarchical clustering to sequences of urban block states (i.e.; sequences of class labels to which the block belongs to on each date). The principal originality of this approach is to use a measure based on DTW (Dynamic Time Warping) which is able to apprehend temporal behaviours (mainly time lags in dates corresponding to a change of state) and …
A Simple Integrated Assessment Approach To Global Change Simulation And Evaluation, K. B. Z. Ogutu, F. D’Andrea, M. Ghil
A Simple Integrated Assessment Approach To Global Change Simulation And Evaluation, K. B. Z. Ogutu, F. D’Andrea, M. Ghil
International Congress on Environmental Modelling and Software
We further develop and study a Coupled Climate-Economy-Biosphere (CoCEB) model. This simple and highly idealized model constitutes the basis of our integrated assessment approach to simulating and evaluating global change. CoCEB is composed of a physical climate module, based on Earth’s energy balance, and an economy module that uses endogenous economic growth with physical and human capital accumulation. A biosphere model is likewise under study and will be coupled to the existing two modules. We concentrate on the interactions between the two subsystems: the effect of climate on the economy, via damage functions, and the effect of the economy on …
Creating Best Bathymetry Using The Iqmulus High Volume Fusion And Analysis Platform For Geospatial Point Clouds, Quillon Harpham, Jennifer Herbert, Vibeke Skytt
Creating Best Bathymetry Using The Iqmulus High Volume Fusion And Analysis Platform For Geospatial Point Clouds, Quillon Harpham, Jennifer Herbert, Vibeke Skytt
International Congress on Environmental Modelling and Software
New data acquisition techniques are emerging and are providing a fast and efficient means for multidimensional spatial data collection. Single and multi-beam echo-sounders, airborne LIDAR, SAR satellites and mobile mapping systems are increasingly used for the digital reconstruction of the environment. All these systems provide point clouds, often enriched with other sensor data providing extremely high volumes of raw data. With these acquisition approaches, a great deal of data is collected, but it often requires harmonisation and integration before reaching its maximum use potential. For use in modelling waves and flow in seas and oceans, collections of surveys of water …
Smart Meter Enabled Dynamic Pricing Of Water, Charles Rougé, Julien Harou, Paola Garrone, Manuel Pulido-Velazquez, Riccardo Marzano, Matteo Giuliani, Andrea Cominola, Antonio Lopez-Nicolas, Andrea Castelleti, Andrea-Emilio Rizzoli
Smart Meter Enabled Dynamic Pricing Of Water, Charles Rougé, Julien Harou, Paola Garrone, Manuel Pulido-Velazquez, Riccardo Marzano, Matteo Giuliani, Andrea Cominola, Antonio Lopez-Nicolas, Andrea Castelleti, Andrea-Emilio Rizzoli
International Congress on Environmental Modelling and Software
The advent of smart metering is set to revolutionize many aspects of the relationship between water utilities and their customers. Smart-metered data supports enhanced customer interaction, enables linking to social media and paves the way for dynamic tariffs (prices that change over time). For dynamic pricing, metering must have sufficiently high frequency and enable billing users individually; smart metering enables this. Dynamic tariffs aim to either reduce demand or shift it in time and can be designed for revenue neutrality with the wider aim of increasing economic, social or environmental benefits. Two dynamic water pricing schemes are described here: scarcity …
Rural Livelihood, Biodiversity And Carbon Stock In Vietnam Mountains: Agent-Based Modeling To Anticipate Trade-Offs, Quang Bao Le
Rural Livelihood, Biodiversity And Carbon Stock In Vietnam Mountains: Agent-Based Modeling To Anticipate Trade-Offs, Quang Bao Le
International Congress on Environmental Modelling and Software
Assessment of future multiple ecosystem services driven by alternative land-use policies is useful for supporting decisions about what and where to invest for the best overall environmental and developmental outcomes. The task faces a great challenge due to the inherent complexity of human- landscape systems and trade-offs between rural livelihood improvement, biodiversity conservation and carbon sequestration. Agent-based system models have been recognized to be well suited to simulate the co-evolutions of the community and landscape systems in response to policy interventions. The study applies the Land Use Dynamics Simulator (LUDAS) framework to a mountain watershed in central Vietnam for anticipating …
Improving Evapotranspiration Simulation In Swat Using Remote Sensing, A. Teklesadik, A. Van Griensven, Tadesse Alemayehu, W. G.M. Bastiaanssen
Improving Evapotranspiration Simulation In Swat Using Remote Sensing, A. Teklesadik, A. Van Griensven, Tadesse Alemayehu, W. G.M. Bastiaanssen
International Congress on Environmental Modelling and Software
Evapotranspiration (ET) is the main hydrological component besides precipitation, but evapotranspiration calculations in hydrological models are poorly validated. In our study, we used an ensemble of monthly ET estimations derived from remote sensing (RS) obtained from ALEXI, MODIS ,CMRSET and SSEBOP RS models, as a reference for evaluating ET simulation results from SWAT in the Upper Blue Nile Basin (UBN). A comparison indicates that SWAT ET estimation is lower than the ensemble mean RS-ET estimations during dry season, where as for the wet season simulated SWAT ET is comparable with RS ET. These results indicate an underestimation of vegetation transpiration …
Quantile Regression Ensemble For Summer Temperatures Time Series And Its Impact On Built Environment Studies, Manuel Herrera, Matthew Eames, Alfonso Ramallo-Gonzalez, Chunde Liu, David Coley
Quantile Regression Ensemble For Summer Temperatures Time Series And Its Impact On Built Environment Studies, Manuel Herrera, Matthew Eames, Alfonso Ramallo-Gonzalez, Chunde Liu, David Coley
International Congress on Environmental Modelling and Software
The occurrence of heat waves, heavy rainfall, or drought periods have an increasing trend nowadays as consequence of Earths global warming. This seriously affects natural habitats and directly impacts on the human environment. Architects and engineers use different approaches to model reference and future weather conditions to achieve building designs that resilient and energy efficient. However, modelling extreme weather events within those future conditions is a relative few explored field. This paper introduces the analysis of regression models for summer temperature time series that facilitate the representation of those extreme events; this is based on upper and lower quantiles, instead …
Multi-Dimensional Hydraulic Coupling For Flood Forecasting, S. Barthélémy, S. Ricci, N. Goutal, T. Morel, E. Le Pape
Multi-Dimensional Hydraulic Coupling For Flood Forecasting, S. Barthélémy, S. Ricci, N. Goutal, T. Morel, E. Le Pape
International Congress on Environmental Modelling and Software
In the context of hydrodynamic modelling the use of 2D models is of fundamental importance in areas where the flow is not mono-dimensional. Nonetheless, the lack of bathymetric data to develop a global 2D model over an entire network or the computational cost of a global 2D model can be prohibitive for operational flood forecasting services. To overcome this limitation a solution is to use multi-dimensional coupling with the use of 1D models where the flow is mono- dimensional and the use of 2D models when needed. Multi-dimensional coupling allows for the use of a global hydrodynamic 1D/2D model over …
Using Bayesian Networks To Evaluate The Vulnerability Of Smallholder Farmers In Increasingly Globalized Markets, Victoria Junquera, Adrienne Grêt-Regamey
Using Bayesian Networks To Evaluate The Vulnerability Of Smallholder Farmers In Increasingly Globalized Markets, Victoria Junquera, Adrienne Grêt-Regamey
International Congress on Environmental Modelling and Software
Agricultural systems in northern Laos are undergoing a rapid transformation from subsistence-based to increasingly export-oriented production of cash crops such as rubber, banana, and sugarcane, with important consequences for local livelihoods and ecosystem services. Our work aims first to identify the drivers of these land use and land cover (LULC) changes, and in turn to understand the impact of such changes on livelihood vulnerability. We define the vulnerability of the local system (in this case the village) in terms of its exposure and sensitivity to stress, as well as its resilience, i.e., its capacity to cope with the stress, either …
Land Use Change Effects Of Oil Palm Expansion On Ecosystem Services In Tapi River Basin, Thailand, Kanokwan Saswattecha, Lars Hein, Carolien Kroeze, Warit Jawjit
Land Use Change Effects Of Oil Palm Expansion On Ecosystem Services In Tapi River Basin, Thailand, Kanokwan Saswattecha, Lars Hein, Carolien Kroeze, Warit Jawjit
International Congress on Environmental Modelling and Software
The last decades have shown a strong increase in oil palm production in Thailand. This is increasingly leading to land conversion including loss of forest habitat. However the specific direct and indirect land use effects of oil palm expansion in Thailand are as yet insufficiently understood. We selected the Tapi river Basin and model land use change caused by oil palm expansion. We analysed both direct and indirect land use change effects, using spatial analysis in ArcGIS 10.0 in combination with farmer interviews. Our analysis shows that in the first decade after 2000, direct-land-use-change (dLUC) amounted to 102,000 ha, and …
Systems Approach To Link Big Socio-Ecological Geo-Data To Food Systems Sustainability, Quang Bao Le, Chandrashekhar Biradar, Enrico Bonaiuti, Richard Thomas
Systems Approach To Link Big Socio-Ecological Geo-Data To Food Systems Sustainability, Quang Bao Le, Chandrashekhar Biradar, Enrico Bonaiuti, Richard Thomas
International Congress on Environmental Modelling and Software
Rapid development of multi-dimensionally, multi-scale, timely updated socio-ecological geo-data presents an opportunity as potential information resource for supporting effective decision- making of stakeholders involved with food systems, from daily routines of individuals to strategic decisions of manager and policy-makers. However, the use of this type of big data toward supporting the sustainability of food systems at different scales still fall short of (i) what information commonly needed by food system actors to response and adapt to socio-ecological change and enhance the system performance, (ii) interoperability between different types of data across scales, and (iii) sufficient guidance to utilize big data …
Challenges And Opportunities For Urban Decarbonization At The Global Scale, Roger Cremades
Challenges And Opportunities For Urban Decarbonization At The Global Scale, Roger Cremades
International Congress on Environmental Modelling and Software
Urban areas emit roughly three quarters of global carbon emissions. Cities are crucial elements for a decarbonized society, however, there is not a framework to analyse cities at the global scale. Supervised machine learning from remote sensing provides information about human settlements from 4 dates (1974, 1990, 2000 and 2014), allowing the creation of the Global Human Settlement Layer (GHSL) which jointly with the Gridded Population of the World (GPW) provides the basis for this study. This dynamic evolution of 250 metre sided cells and its population at the global scale gives an unprecedented opportunity to analyse a backbone of …
Profiling Residential Water Users’ Routines By Eigenbehavior Modelling, A. Cominola, A. Moro, L. Riva, M. Giuliani, A. Castelleti
Profiling Residential Water Users’ Routines By Eigenbehavior Modelling, A. Cominola, A. Moro, L. Riva, M. Giuliani, A. Castelleti
International Congress on Environmental Modelling and Software
Developing effective demand-side management strategies is essential to meet future residential water demands, pursue water conservation, and reduce the costs for water utilities. The effectiveness of water demand management strategies relies on our understanding of water consumers’ behavior and their consumption habits and routines, which can be monitored through the deployment of smart metering technologies and the adoption of data analytics and machine learning techniques. This work contributes a novel modeling procedure, based on a combination of clustering and principal component analysis, which allows performing water users’ segmentation on the basis of their eigenbehaviors (i.e., recurrent water consumption behaviors) automatically …
Evapotranspiration Mapping Using Sebal Algorithms To Account For Agricultural Water Uses In The Upper Pangani, Tanzania, Anna Msigwa, Ann Van Griensven, Hans C. Komakech, Boud Verbeiren, Tim Hessels, Wim G. M. Bastiaanssen
Evapotranspiration Mapping Using Sebal Algorithms To Account For Agricultural Water Uses In The Upper Pangani, Tanzania, Anna Msigwa, Ann Van Griensven, Hans C. Komakech, Boud Verbeiren, Tim Hessels, Wim G. M. Bastiaanssen
International Congress on Environmental Modelling and Software
To make informed decisions, river basin managers requires information on demands and actual usage from different sectors in the basin. Such water use information has to be adequate in terms of quantities used per sector, where and when. However, because of high costs of maintaining equipment for monitoring use, it is very difficult to obtain this information in developing arid and semi- arid areas of Sub-Saharan Africa. The use of proxy method such as calculation of evapotranspiration is proposed as a cheaper means for such data acquisition. Water consumption through crop evapotranspiration (ET) is a major component of water withdrawal, …
Data-Driven Rainfall/Runoff Modelling Based On A Neuro-Fuzzy Inferential System, N. Bartoletti, F. Casagli, S. Marsili-Libelli, A. Nardi, A. Oliva, L. Palandri
Data-Driven Rainfall/Runoff Modelling Based On A Neuro-Fuzzy Inferential System, N. Bartoletti, F. Casagli, S. Marsili-Libelli, A. Nardi, A. Oliva, L. Palandri
International Congress on Environmental Modelling and Software
The development of rainfall/runoff models may involve extensive computation and differing platforms, including GIS. In this paper we present a simple data-driven approach which avoids the use of GIS, but is based on a combination of Principal Component Analysis (PCA) and an Adaptive Neuro Fuzzy Inference System (ANFIS) to produce a simple and effective output flow prediction based on previous rainfall/runoff data. Given the ANFIS internal complexity, the emphasis of the paper is on how to set-up the most representative and parsimonious data structure that produces an efficient output flow estimation. In the preliminary data reduction stage, the PCA approach …
A Bayesian Method For Data Assimilation In Probabilistic Wave Forecasting, Quillon Harpham, Nigel Tozer, Paul Cleverley, David Wyncoll, Doug Cresswell
A Bayesian Method For Data Assimilation In Probabilistic Wave Forecasting, Quillon Harpham, Nigel Tozer, Paul Cleverley, David Wyncoll, Doug Cresswell
International Congress on Environmental Modelling and Software
New innovations are emerging which offer opportunities to reduce the uncertainty of forecasts of wave conditions. These include probabilistic modelling results, such as those based on an ensemble of multiple predictions which can provide a measure of the uncertainty, and new sources of observational data such as GNSS reflectometry and FerryBoxes, which can be combined with an increased availability of more traditional static sensors. This paper outlines an application of the Bayesian statistical methodology which combines these innovations. The method modifies the probabilities of ensemble wave forecasts based on recent past performance of individual members against a set of observations …
Plant Trait-Based Assessment Of The Pasture Simulation Model, Anne-Isabelle Graux, Katja Klumpp, Shaoxiu Ma, Raphaël Martin, Gianni Bellocchi
Plant Trait-Based Assessment Of The Pasture Simulation Model, Anne-Isabelle Graux, Katja Klumpp, Shaoxiu Ma, Raphaël Martin, Gianni Bellocchi
International Congress on Environmental Modelling and Software
We used a functional trait-based plant classification to improve the plant module of the biogeochemical grassland model PaSim. Based on four main classes (A, B, C, D) and two derived types (b, d) covering a gradient from high to low productive/fertile grassland vegetation types, we derived new classes of model plant parameters representing an evolution of a previous parameterization obtained by calibration without considering any plant diversity. Illustrative results are presented for the French grassland site of Laqueuille, by comparing two grazing management treatments: high animal stocking rate and fertilisation “intensive” (type B) and low animal stocking rate “extensive” (type …
Big Data In Environmental And Human Health Risk Assessment: Opportunities And Challenges, Vikas Kumar
Big Data In Environmental And Human Health Risk Assessment: Opportunities And Challenges, Vikas Kumar
International Congress on Environmental Modelling and Software
Big Data is broad term for large data sets arriving from multiple sources with typological and structural complexities which presents integrational, analytical and visualization challenge to extract meaningful information. In the human health risk assessment, the amount of data is exploding from basic science to clinically based omics, High Throughput Screening (HTS) to biosensors, large scale biomonitoring to multigenerational individual and population based studies. The scattered “Big Data” captures the opportunities as well as challenges in accessing, integrating, managing and analysing the datasets of diverse data types. The aim of this study is to perform a systematic review of the …
Reconciling Information From Climate-Economic Model Ensembles, A. Shchiptsova, D. Kovalevsky, E. Rovenskaya
Reconciling Information From Climate-Economic Model Ensembles, A. Shchiptsova, D. Kovalevsky, E. Rovenskaya
International Congress on Environmental Modelling and Software
To date, no model building process can guarantee full representation of the complex climate-economic processes and narrow down the uncertainty associated with future climate projections. Multiple highly detailed models are developed by individual research groups to capture various known aspects of the climate processes. Normally, these models represent only a part of the climate-society system due to its complexity. On the other hand, a number of the simplified integrated assessment models (IAMs) have been put forward in the attempt to introduce the full causal loop between accumulated emissions, economy and climate, and study associated uncertainty. We present a simplified system …
Comparison Of Parametric And Non-Parametric Disaggregation Models For The Top-Down Generation Of Water Demand Time Series, S. Alvisi, N. Ansaloni, M. Franchini
Comparison Of Parametric And Non-Parametric Disaggregation Models For The Top-Down Generation Of Water Demand Time Series, S. Alvisi, N. Ansaloni, M. Franchini
International Congress on Environmental Modelling and Software
This study presents a “top-down” procedure for generating synthetic time series of hourly nodal water demands from time series of the total water demands in the area that includes the nodes considered, based on the application of disaggregation models already presented in the literature in the field of hydrology. More specifically, a parametric and a nonparametric disaggregation model are compared to assess their performance in reproducing, on a nodal level, the main statistics of the time series of historically observed water demands. Moreover, with regard to the nonparametric model, two variants of the original formulation are proposed with the aim …
Measuring Household Vulnerability: A Fuzzy Approach, Gautam Sethi, Molly Gilligan, Amy Richmond
Measuring Household Vulnerability: A Fuzzy Approach, Gautam Sethi, Molly Gilligan, Amy Richmond
International Congress on Environmental Modelling and Software
This research develops an index of vulnerability for Ugandan households using a variety of economic, social and environmental variables with two objectives. First, there is only a small body of research that measures household vulnerability. Given the stresses faced by households susceptible to water, environment, food, livelihood, energy, and health security concerns, it is critical that they be identified in order to make effective policy. We draw on the socio-ecological systems (SES) framework described by Ostrom (2009) and adapt the model developed by from Giupponi, Giove, and Giannini (2013) to develop a composite measure. Second, most indices in the literature …
Web Service Based Approach To Link Heterogeneous Climate-Energy-Economy Models For Climate Change Mitigation Analysis, Getachew F. Belete, Alexey Voinov, Tatyana Bulavskaya, Leila Niamir, Kishore Dhavala
Web Service Based Approach To Link Heterogeneous Climate-Energy-Economy Models For Climate Change Mitigation Analysis, Getachew F. Belete, Alexey Voinov, Tatyana Bulavskaya, Leila Niamir, Kishore Dhavala
International Congress on Environmental Modelling and Software
Climate change mitigation analysis requires understanding the causes and identifying the possible alternative actions that could be taken. We linked heterogeneous models that focus on climate, energy, and economy for the purpose of climate change mitigation. The models were originally developed to serve as standalone tools for some specific purposes. The models operate at various levels of complexity, different temporal and spatial scales, from individual to global. They were developed using quite different assumptions and modeling paradigms and tools. One of them is a Computable General Equilibrium model, the second is an Integrated Assessment Model, and the third one is …
Uncertainty Quantification With Polynomial Chaos Expansion In Ensemble Based Data Assimilation Framework, N. El Mocayd, S. Ricci, M. Rochoux, N. Goutal, S. Boyaval, C. Goeury, D. Lucor
Uncertainty Quantification With Polynomial Chaos Expansion In Ensemble Based Data Assimilation Framework, N. El Mocayd, S. Ricci, M. Rochoux, N. Goutal, S. Boyaval, C. Goeury, D. Lucor
International Congress on Environmental Modelling and Software
In hydraulic simulations, water level calculations suffer from uncertainty in various physical and numerical parameters that translate into uncertainty in simulated water level. Usually, a classical Monte-Carlo method sampling is used to quantify uncertainty, but this approach is quite expensive as it requires a large number of the forward model integrations. This study aims at developing a cost- effective stochastic approach adapted to open-channel flows assuming that the uncertainty is mostly due to roughness coefficient and input discharge. We investigate the ability of a polynomial chaos expansion to evaluate the probabilistic features of the water level with the same accuracy …
Up In The Air: Understanding Vulnerability When Toilets Fly, Amy Krakowka Richmond, Suzanne Pierce, Sethi Gautam
Up In The Air: Understanding Vulnerability When Toilets Fly, Amy Krakowka Richmond, Suzanne Pierce, Sethi Gautam
International Congress on Environmental Modelling and Software
Across sub-Saharan Africa, both natural and social factors contribute to household level vulnerability. This case study focuses specifically on Uganda, which has made progress towards meeting the United Nation’s Millennium Development Goals, most notably halving the proportion of the population that is below the poverty line. Despite these impressive achievements, many households remain vulnerable to multiple social and environmental stressors. A better understanding of the drivers of household level vulnerability will assist stakeholders and policy-makers in determining what drives vulnerability at a household level, where vulnerable populations are, and suggest what type of aid to target specific locations to be …
Big Data In Land Change Science: Challenges And Implications Of Advanced Technologies, Hichem Omrani, Amin Tayyebi
Big Data In Land Change Science: Challenges And Implications Of Advanced Technologies, Hichem Omrani, Amin Tayyebi
International Congress on Environmental Modelling and Software
Big data has received a lot of attentions during last decade. Dealing with big data is a complex task as it is challenging to analyse, store, model and make sense of big data. Using big data in land change science (LCS) is a new area of research. One of the main challenges in LCS is using big data for model calibration effectively. In this study, we propose using clustering technique, based on k-means approach, to handle big land-use data and overcome the limitation of model calibration. With clustering, data are partitioned into smaller subsets and are t hen analysed …
Developement Of Data Fusion Methods For An Improved Estimation Of Soil Moisture, Felix Linde
Developement Of Data Fusion Methods For An Improved Estimation Of Soil Moisture, Felix Linde
International Congress on Environmental Modelling and Software
This talk presents recent work on data fusion methods applied to the estimation of soil moisture by means of remote sensing. Particularly in research dealing with landscapes and agriculture there is a need for spatially and temporally resolved estimation of soil moisture from local to regional level and beyond. The methods to evaluate the water content of the soil range from direct measurements, optical and microwave remote sensing to modeling based on precipitation measurements. Usually the availability of the specific data defines the used method. The uncertainties connected to each way of estimation vary with weather conditions, region and data …
Developing A Stochastic Simulation Model For The Generation Of Residential Water End-Use Demand Time Series, A. Cominola, M. Giuliani, Andrea Castelleti, A. M. Abdallah, D. E. Rosenberg
Developing A Stochastic Simulation Model For The Generation Of Residential Water End-Use Demand Time Series, A. Cominola, M. Giuliani, Andrea Castelleti, A. M. Abdallah, D. E. Rosenberg
International Congress on Environmental Modelling and Software
Smart metering technologies allow for gathering high resolution water demand data in the residential sector, opening up new opportunities for the development of models describing water consumers’ behaviors. Yet, gathering such accurate water demand data at the end-use level is limited by metering intrusiveness, costs, and privacy issues. In this paper, we contribute a stochastic simulation model for synthetically generating high-resolution time series of water use at the end-use level. Each water end-use fixture in our model is characterized by its signature (i.e., its typical single-use pattern), as well as frequency distributions of its number of uses per day, single …
Planning Complex Agro-Ecosystems: The Case Of Analog Forestry, F. Recanati, Giorgio Guariso, M. Saini, Sergio Vilchez Mendoza
Planning Complex Agro-Ecosystems: The Case Of Analog Forestry, F. Recanati, Giorgio Guariso, M. Saini, Sergio Vilchez Mendoza
International Congress on Environmental Modelling and Software
Traditional agroecosystems, aimed at maximizing the short term productivity, are characterized by oversimplification of ecological structure and dependence on the use of external inputs. Moreover, intensive agriculture is one of the main cause of deforestation. The main consequence of traditional agriculture is the loss of natural ecosystems and of their precious services. Analog forestry has emerged as a sustainable productive model able to be integrated in forest contexts, without degrading their ecological functions. The obtained agro-ecosystem is characterized by an ecological structure similar to the one of forest, and by the presence of several productive species in the same area. …
Participatory Simulation And Learning Process: Technology Matters!, Nicolas Becu, Pierre Bommel, Christophe Le Page, François Bousquet
Participatory Simulation And Learning Process: Technology Matters!, Nicolas Becu, Pierre Bommel, Christophe Le Page, François Bousquet
International Congress on Environmental Modelling and Software
Participatory modelling (PM) is an approach under constant renewal due to its close link to available technologies and evolution of learning habits of citizens. Since the years 2000 many PM research projects leapt into the breach of hybrid simulation to produce new modes of interaction between PM session’s participants. This paper reports on the advances of participatory simulation (PS) – the branch of PM that focuses on learning by interacting with a collective simulation – on using different projection technologies for participants’ interfaces. The use of two types of technologies is analyzed in this paper: ultra-short throw projector and distribution …