Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Brigham Young University (629)
- Universitas Indonesia (428)
- Purdue University (7)
- Technological University Dublin (7)
- Louisiana State University (4)
-
- University of Arkansas, Fayetteville (4)
- University of Nevada, Las Vegas (3)
- California Polytechnic State University, San Luis Obispo (2)
- Clemson University (2)
- Portland State University (2)
- University of Kentucky (2)
- University of Nebraska - Lincoln (2)
- University of Texas at Arlington (2)
- City University of New York (CUNY) (1)
- Embry-Riddle Aeronautical University (1)
- Faculty of Engineering, Mansoura University (1)
- Georgia Southern University (1)
- Indian Institute of Management Bangalore (1)
- Louisiana Tech University (1)
- San Jose State University (1)
- Southern Methodist University (1)
- St. Mary's University (1)
- University of New Mexico (1)
- Western Michigan University (1)
- Keyword
-
- Climate change (11)
- Ionic conductivity (8)
- Remote sensing (8)
- Data mining (7)
- Optimization (7)
-
- Sustainability (7)
- Uncertainty (7)
- Cloud computing (6)
- Crowdsourcing (6)
- Ecosystem services (6)
- Sensitivity analysis (6)
- Adsorption (5)
- Agriculture (5)
- Biodiesel (5)
- Modeling (5)
- Modelling (5)
- Transportation (5)
- Activated carbon (4)
- CDMA (4)
- Conductivity (4)
- Earthquake (4)
- GIS (4)
- Integrated modelling (4)
- Machine learning (4)
- Mechanical properties (4)
- Neutron diffraction (4)
- Ontologies (4)
- Renewable energy (4)
- Semiconductor (4)
- Temperature (4)
- Publication Year
- Publication
-
- International Congress on Environmental Modelling and Software (629)
- Makara Journal of Technology (428)
- Conference papers (5)
- Civil Engineering Teaching and Learning (3)
- Faculty Publications (3)
-
- The Summer Undergraduate Research Fellowship (SURF) Symposium (3)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (3)
- Civil and Environmental Engineering Faculty Publications and Presentations (2)
- LSU Master's Theses (2)
- Publications (2)
- Theses and Dissertations--Civil Engineering (2)
- All Dissertations (1)
- Architectural Engineering (1)
- Civil Engineering Dissertations - Archive (1)
- Civil Engineering ETDs (1)
- Civil and Environmental Engineering Theses and Dissertations (1)
- Computer Science and Engineering Theses - Archive (1)
- Conference Papers (1)
- Data (1)
- Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research (1)
- Department of Construction Engineering and Management: Dissertations, Theses, and Student Research (1)
- Dissertations (1)
- Doctoral (1)
- Doctoral Dissertations (1)
- Doctoral Dissertations and Master's Theses (1)
- Graduate Theses and Dissertations (1)
- Honors College Theses (1)
- IIMB Management Review (1)
- Mansoura Engineering Journal (1)
- Master's Theses (1)
- Publication Type
- File Type
Articles 361 - 390 of 1105
Full-Text Articles in Computer Engineering
Time Series Analyst: Interactive Online Visualization Of Standards Based Environmental Time Series Data, Jeffery S. Horsburgh, Amber Spackman Jones, Maurier Ramírez, Juan Caraballo
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 …
Number Of Patterns In Lempel-Ziv Algorithm Applied To Iterative Maps And Measured Time Series, G. Mimić, I. Arsenić, D. T. Mihailović
Number Of Patterns In Lempel-Ziv Algorithm Applied To Iterative Maps And Measured Time Series, G. Mimić, I. Arsenić, D. T. Mihailović
International Congress on Environmental Modelling and Software
Some tests with information measure based on Kolmogorov complexity, using Lempel-Ziv algorithm, were performed. Information measure, which indicates randomness, was applied on the modeled and measured time series. The logistic map iterations were used as the modeled time series and the measurements of velocity data from the turbulent flow collected in a laboratory channel, were used as the measured one. The complexity counter, indicating the number of distinct patterns in the time series, was computed. An analysis has shown that the number of patterns in the measured time series is increasing with the time series length, but having a saturation …
Desired Precision In Multi-Objective Optimization: Epsilon Archiving Or Rounding Objectives?, Masoud Asadzadeh
Desired Precision In Multi-Objective Optimization: Epsilon Archiving Or Rounding Objectives?, Masoud Asadzadeh
International Congress on Environmental Modelling and Software
Multi-objective optimization (MO) aids in supporting the decision making process in environmental engineering and design problems. One of the main goals of solving a MO problem is to archive a set of solutions that are well-distributed across a wide range of all the design objectives. To this end, some of the state-of-the-art MO algorithms use the epsilon dominance concept to define a mesh-grid with pre-defined grid-cell size (often called epsilon) in the objective space and archive at most one solution in each grid-cell. Moreover, epsilon archiving helps the MO algorithm control the number of archived solutions. This is particularly important …
Design Of Decision Support Tools For The Quality Assessment Of Illegal Dumping Notifications Based On Crowd-Sourced Data, Jan Brus, Jakub Vrkoč, Miroslav Kubásek
Design Of Decision Support Tools For The Quality Assessment Of Illegal Dumping Notifications Based On Crowd-Sourced Data, Jan Brus, Jakub Vrkoč, Miroslav Kubásek
International Congress on Environmental Modelling and Software
Illegal dumping has become an increasingly significant environmental problem throughout the Czech Republic and also in Prague. The waste is disposed in areas such as vacant lots, along roadways, alleys, city and county parks, ravines, construction sites. The challenge for cities dealing with illegal dumping is that it is tough to identify when it will happen, where it will occur, and how much will be dumped. The paper is therefore focused on designing a decision support tool, which uses crowdsourcing data to cope with this problem as the management of illegal dumps can be built upon citizen reports via the …
Engaging Stakeholders In Assessing The Impact Of Agricultural Practice On Groundwater Quality: The Residence Time Distribution Model (Rtd), S. Binet, V. Essayan, A. Hertout, M. Dedewanou, H. Noel, Leo Berte, F. Bordeau
Engaging Stakeholders In Assessing The Impact Of Agricultural Practice On Groundwater Quality: The Residence Time Distribution Model (Rtd), S. Binet, V. Essayan, A. Hertout, M. Dedewanou, H. Noel, Leo Berte, F. Bordeau
International Congress on Environmental Modelling and Software
Nowadays, the quantitative evaluation of the impact of agricultural practices on groundwater quality and the estimation of the underground residence time of contaminants can be achieved by solving the advection, dispersion, and reaction differential equations. However, the application of these models at the aquifer scale is always difficult because it requires a large amount of data to be consistent with field observations. Thus, in practice numerical modelling is mostly incompatible with the financial support of water managers and the time-frame imposed by the authorities for groundwater vulnerability assessments.
This note presents an operational approach to model contaminant migration from soil …
Modelling Flash Floods At Sub-Daily Time-Step: Comparison Of The Performances Of The Conceptual Swat Model And The Process-Oriented Marine Model, Laurie Boithias, Anneli Lenica, Hélène Roux, Kévin Larnier, Karim C. Abbaspour, Sabine Sauvage, José Miguel Sanchez-Perez
Modelling Flash Floods At Sub-Daily Time-Step: Comparison Of The Performances Of The Conceptual Swat Model And The Process-Oriented Marine Model, Laurie Boithias, Anneli Lenica, Hélène Roux, Kévin Larnier, Karim C. Abbaspour, Sabine Sauvage, José Miguel Sanchez-Perez
International Congress on Environmental Modelling and Software
Due to climate change, the frequency of intense rainfall events and consequent flash floods are expected to increase in the next decades across the Mediterranean coastal basins. To date, few spatially-explicit models are able to simulate flash floods with accurate details. The MARINE model is one of them: it is a process-oriented fully distributed model operating dynamically at the rainfall event time-scale. It includes infiltration and saturation excess processes along with subsurface, overland and channel flows. It does not describe ground-water processes as the model's purpose is to simulate individual flood events during which ground-water processes are considered negligible. The …
Web Based Analysis Of Hydrological Time Series In R Using Web Processing Services, Jiří Kadlec, Daniel P. Ames, Matthew Bayles, Martin Seul, Rick Hooper, Brian Cummings
Web Based Analysis Of Hydrological Time Series In R Using Web Processing Services, Jiří Kadlec, Daniel P. Ames, Matthew Bayles, Martin Seul, Rick Hooper, Brian Cummings
International Congress on Environmental Modelling and Software
An increasing quantity of observed and modeled hydrological time series data are becoming available through web based catalogs and data servers. The Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI) Water Data Center makes much of this data available globally via its new http://data.cuahsi.org web portal. A computationally distributed system was needed to facilitate web based visualization and analysis of data discovered via this portal. This presentation will introduce the design and development of a web-based software framework including an application programmer interface and architecture to share time series analysis R scripts online. Using the CUAHSI data …
Integrated Spatio-Temporal Model Of Land-Use Change: A Focus On Mediterranean Agriculture Under Global Changes, Vahid Mojtahed, Carlo Giupponi, Fabio Eboli, Francesco Busello, Carlo Cararro
Integrated Spatio-Temporal Model Of Land-Use Change: A Focus On Mediterranean Agriculture Under Global Changes, Vahid Mojtahed, Carlo Giupponi, Fabio Eboli, Francesco Busello, Carlo Cararro
International Congress on Environmental Modelling and Software
Global climate and socio-economic changes determine the patterns of the allocation and trade of resources in all markets. Top-Down computable general equilibrium (CGE) models ignoring ecosystem constraints, look at the effects of global trends and generate trajectories of socio-economic indicators. Those models are commonly used to analyse the evolution of global economies, under the pressure of climate change drivers, but their approach impose substantial simplifications in terms of spatial aggregation and interactions between socio-economic and environmental variables. When considering adaptation of coupled socio-ecological systems to climate change, their inherent complexity and non-linearity and their spatial and temporal variabilities put the …
An Experimental Comparison Of Methods To Handle Missing Values In Environmental Datasets, A. D. Maldonado, P. A. Aguilera, A. Salmeron
An Experimental Comparison Of Methods To Handle Missing Values In Environmental Datasets, A. D. Maldonado, P. A. Aguilera, A. Salmeron
International Congress on Environmental Modelling and Software
This paper reports on a comparison of different techniques to handle missing data in a real environmental dataset containing missing values. In particular, we handled a dataset related to a surface water quality index. The chosen techniques were regression imputation by linear regression, a model tree and a Bayesian network; multiple imputation by chained equations; and data augmentation by a Bayesian network. The models were tested by analyzing the predictive maps and by comparing the density function of the predicted variable with the observed one. The experimental results showed that the imputation by linear regression and the multiple imputation by …
Facilitating The Design Of Abm And The Code Generation To Promote Participatory Modelling, Peter Uhnak, Pierre Bommel
Facilitating The Design Of Abm And The Code Generation To Promote Participatory Modelling, Peter Uhnak, Pierre Bommel
International Congress on Environmental Modelling and Software
Designing and implementing an ABM is a hard task that needs programming skills besides design skills. This is especially true when dealing with Participatory Modelling (PM) where the model should no longer appear as a black box. On the contrary, participants of a PM process should easily understand the relationship between the outputs of a simulation and the underlying conceptual model, and even contribute to modify it. For that purpose, we have developed an UML Class Diagram Editor that allows the participants to design the structure of their model. Then it generates the source code of the model that can …
Innovation For Consistent Integrated Modeling Across Scales, Bert Jagers
Innovation For Consistent Integrated Modeling Across Scales, Bert Jagers
International Congress on Environmental Modelling and Software
In the context of environmental management policies and implementation plans, we are often faced by complex questions about the environment and human interaction. In order to be able to identify solution pathways forward, we need to understand the dynamics of the natural system as a whole and the human role therein. Our understanding of the system is reflected by the components of our numerical models: from highly specific detailed models to more integrated lumped models. We use models across a wide range of scales. Since policies and implementations interact across these scales and the expertise of relevant authorities involved varies …
On The Use Of Finite-Difference Model To Evaluate The Impact Of Underground Water Overexploitation, Hani A., Bougherira N., Djabri L., Chaffai H., Lallahem S.
On The Use Of Finite-Difference Model To Evaluate The Impact Of Underground Water Overexploitation, Hani A., Bougherira N., Djabri L., Chaffai H., Lallahem S.
International Congress on Environmental Modelling and Software
The potentiometric surface in the Annaba basin, which covers an area of 264 km2, has declined significantly since 1995. A transient multilayer model has been developed to synthesise the hydrologic data. The groundwater flow was modelled using the finite difference method with a horizontal dimension of 500 x 500 m for the cells. The model consists of two layers, the first corresponding to the alluvial phreatic aquifer and the second to the deep confined aquifer, and is calibrated against the steady state groundwater heads recorded before 1996. Under steady-state conditions, the correspondence between simulated and observed water levels …
Design Of The Data Sensor Pre-Processing Stage For A Long Term Multi-Tracking Application, Pere Martí-Puig, Ramon Reig-Bolaño, Moisès Serra-Serra
Design Of The Data Sensor Pre-Processing Stage For A Long Term Multi-Tracking Application, Pere Martí-Puig, Ramon Reig-Bolaño, Moisès Serra-Serra
International Congress on Environmental Modelling and Software
This paper presents a design strategy for an underwater computer vision data system and its pre-processing stage with the purpose of long-term fish behavior monitoring in a controlled environment. The biological experiment requires the continuous tracking of a group of fishes (of 10 to 20 specimens) in a prepared installation located in the Science Marine Laboratory in Mallorca. The experiment is thought to obtain empirical data to estimate biological energy models from specimen’s activity. In consequence it is required to identify and track each individual in the images, which supposes an important image processing effort. Our approach takes advantage from …
Decision Support System For Waste Management, Jiří Hřebíček, Jiří Kalina, Jana Soukopová, Jiří Valta, Jan Prášek
Decision Support System For Waste Management, Jiří Hřebíček, Jiří Kalina, Jana Soukopová, Jiří Valta, Jan Prášek
International Congress on Environmental Modelling and Software
The paper presents a prototype of the integrated decision support system DECWASTE developed to support decision making in waste management in the Czech Republic. It uses linked open data of eGovernment systems of the Czech Republic. It consists of six sub-modules: PARSER, which downloads the appropriate data from the eGovernment systems to its databases; PREVENT, which calculates the prevention impact on waste generation; FORECAST, which forecasts waste generation for a given time period using developed mathematical forecast models based on the DPSIR (Driving forces-Pressures-States-Impacts-Responses) framework including past time series of waste stream generation; TREATMENT, which forecasts waste treatment for the …
Individual Vs Collective In Public Policy Design, A Cooperation Example In The Marais Poitevin Region, Pierre-Yves Hardy, Véronique Souchère, Anne Dray, Maia David, Rodolphe Sabatier, Eric Kernéis
Individual Vs Collective In Public Policy Design, A Cooperation Example In The Marais Poitevin Region, Pierre-Yves Hardy, Véronique Souchère, Anne Dray, Maia David, Rodolphe Sabatier, Eric Kernéis
International Congress on Environmental Modelling and Software
The conciliation between different issues such as production activities, biodiversity conservation and water management remains unsolved in many places in the world. As a striking example, the wet grasslands of the Marais Poitevin region (France) present many obstacles against the integration of previous issues, especially in terms of public policy design. The socio-cultural situation in this region shows a high degree of political resistance and questions the relevancy of the current Agri-Environmental Schemes (AES) as an incentive for livestock farmers to adopt biodiversity friendly practices favoring the birds’ richness of the area. Yet, the current AES based on financial support …
Integration Of Land Use And Land Cover Models: Coupling Two Existing Models To Improve The Simulation Of Location Choice, Harutyun Shahumyana, Rolf Moeckel, Peter Claggett, Frederick Ducca
Integration Of Land Use And Land Cover Models: Coupling Two Existing Models To Improve The Simulation Of Location Choice, Harutyun Shahumyana, Rolf Moeckel, Peter Claggett, Frederick Ducca
International Congress on Environmental Modelling and Software
Single models do not usually provide all answers required for complex policy decisions, so an integrated modelling is often applied to inform policy makers and urban planners. Developing a fully integrated model is an expensive and time consuming task, thus, coupling existing models is often used for model integration. The paper provides an overview of potential model integration approaches, briefly describes the Simple Integrated Land Use Orchestrator (SILO) model and the Chesapeake Bay Land Change Model (CBLCM), and focuses on the integration method applied to link those models. Particularly, Python wrappers were developed to loosely couple SILO and CBLCM; while …
Simulation Of Guozheng Lake Temperature By Using A New Water Temperature Model, Ling Kang, Zheng Jing
Simulation Of Guozheng Lake Temperature By Using A New Water Temperature Model, Ling Kang, Zheng Jing
International Congress on Environmental Modelling and Software
Water temperature in lakes plays an important role in aquatic ecosystem. Wind sheltering effect has an important influence on water temperature distribution. An improved wind sheltering model, which was developed to quantify wind sheltering effect, was coupled to vertical one dimensional heat conduction model to create a new water temperature model. Based on the relationship between the wind direction and obstacle location, as well as the characteristics of wind variation downwind from the obstacle, the wind sheltering model could calculate a time-dependent wind sheltering coefficient. For numerical solution, a new operator-splitting method was adopted. To compensate for the deviation caused …
Multispecies Granular Biofilm Modelling For Simultaneous Anammox And Denitrification Processes In Batch Systems, Mohammad Azari, Manfred Lȕbken, Martin Denecke
Multispecies Granular Biofilm Modelling For Simultaneous Anammox And Denitrification Processes In Batch Systems, Mohammad Azari, Manfred Lȕbken, Martin Denecke
International Congress on Environmental Modelling and Software
The nitrogen removal pathways in anaerobic ammonium oxidation (anammox) process where anaerobic ammonium-oxidizing bacteria and denitrifying heterotrophs convert ammonium and nitrite directly to dinitrogen gas under anoxic conditions were investigated using a mathematical model. The Activated Sludge Model No. 1 (ASM1) was modified with two step denitrification and one-step anaerobic ammonia oxidation. A one dimensional granular biofilm model was implemented in Aquasim 2.1v (EAWAG, Switzerland) in order to describe a series of batch processes operated in a bioreactor treating synthetic wastewater. A sophisticated statistical method was used for parameter estimation. The model was not sensitive with respect to the detachment …
Optimal Scales Of Neighbourhood Effects On Land- Use Change: An Analysis Procedure Applied In An Alpine Mountainous Region, Quang Bao Le, Robert Huber
Optimal Scales Of Neighbourhood Effects On Land- Use Change: An Analysis Procedure Applied In An Alpine Mountainous Region, Quang Bao Le, Robert Huber
International Congress on Environmental Modelling and Software
Neighbourhood effects on land use change are very common. Therefore, they are often included in spatially explicit models of land use change and other spatial analyses. Neighbourhood indices, however, depend strongly on the spatial extent set for calculating them. So far, most of the existing land-use change analyses or models using neighbourhood indices assumed some predefined neighbourhood extents without proving whether the selected extents are optimal for the analysis of the corresponding land use dynamics. This paper presents a methodological procedure to identify (i) the optimal neighbourhood extent and (ii) the range of scale-dependency in neighbourhood effects of different land …
Interoperability Between The Basic Modeling Interface (Bmi) And The Open Modeling Interface (Openmi): A Step Toward Building The Earth System Bridge For Modeling Framework Interoperability, Jonathan L. Goodall, Scott D. Peckham
Interoperability Between The Basic Modeling Interface (Bmi) And The Open Modeling Interface (Openmi): A Step Toward Building The Earth System Bridge For Modeling Framework Interoperability, Jonathan L. Goodall, Scott D. Peckham
International Congress on Environmental Modelling and Software
Interoperability among environmental modeling frameworks is important to allow for the exchange of software components for modeling, analysis, and data access between these systems. Modeling frameworks share the concept of encapsulating models as software components or services within a larger modeling framework where the components have defined interfaces and data exchange formats. However, the exact definition of these interfaces and data exchange formats differs across modeling frameworks. The Earth System Bridge project, funded by the US National Science Foundation (NSF) under their EarthCube program, seeks to address this challenge by adopting a core model component that can be wrapped using …
Using System-Dynamics For Advanced Decision Making And Sustainable Water-Use For Farm Irrigation, Monika Von Haaren, Sylvia Herrmann
Using System-Dynamics For Advanced Decision Making And Sustainable Water-Use For Farm Irrigation, Monika Von Haaren, Sylvia Herrmann
International Congress on Environmental Modelling and Software
Under the conditions of climate change, an efficient use of water is crucial for sustainable resource management. There is a need of user-friendly systems to evaluate the complex system of water use in agriculture. In this scientific research, the factors that have a significant effect on irrigation and the assessment of water consumption were determined by a system-dynamics approach. The developed model includes selected components of irrigation farming and shows interactions of these elements. The model was defined based on expert inputs and a participatory stakeholder process to analyse the interactions within the system "water extraction for irrigation" and derive …
Evidence Of Contaminant Storage At The Soil/Vadose Zone Interface And Implication For Nitrate Residence Time Modeling In Groundwaters, E. Viel, M. Dedewanou, Yves Coquet, S. Binet
Evidence Of Contaminant Storage At The Soil/Vadose Zone Interface And Implication For Nitrate Residence Time Modeling In Groundwaters, E. Viel, M. Dedewanou, Yves Coquet, S. Binet
International Congress on Environmental Modelling and Software
The “Beauce” limestone aquifer is contaminated by nitrate and pesticides mostly coming from agricultural activities. In this region the vadose zone can extend to more than 20 m in depth, appears to be highly heterogeneous and plays a significant role in the retention and/or release of pollutants to aquifers and wells. In order to gain insight into contaminant transfer in the vadose zone, tracer experiments were conducted in a pit, 4 meters wide, 1.6 meters deep, using (1) 30 L of brilliant blue (BB) at a concentration of 6 g/L to map the preferential flow along the percolation profile and …
Socio Environmental Conflicts In Ecuador. The Use Of Preprocessing And Data Mining To Detect Influencing Factors On Violence And Crisis (1985 - 2016), Lina Pita Merino, Martí Rosas-Casals, Karina Gibert
Socio Environmental Conflicts In Ecuador. The Use Of Preprocessing And Data Mining To Detect Influencing Factors On Violence And Crisis (1985 - 2016), Lina Pita Merino, Martí Rosas-Casals, Karina Gibert
International Congress on Environmental Modelling and Software
The main concern regarding the spread of Socio Environmental Conflicts (SEC) is the constant increase of extractive activities to support the economic system. Conflicts originated in the clash of interests between the extractive industries and local populations is the more visible outcome, but the complexity of this phenomenon may not be that obvious. Among South American countries, the highest murder rates of environmental activists corresponded to Brazil, Peru and Colombia, three of the four Amazonian countries along with Ecuador (Global Witness, 2015). In addition, all of them have similar characteristics such as high levels of inequality and the presence of …
Emergency Maps Tool – Facilitating Collaboration And Decision Making During Emergency & Crises Situations, Gerald Schimak, Peter Kutschera, Refiz Duro, Katharina Kutschera
Emergency Maps Tool – Facilitating Collaboration And Decision Making During Emergency & Crises Situations, Gerald Schimak, Peter Kutschera, Refiz Duro, Katharina Kutschera
International Congress on Environmental Modelling and Software
The Emergency Maps Tool (EMT) has been developed as part of a collaboration environment in the C2-SENSE Emergency Interoperability Framework (www.c2-sense.eu). The collaboration environment aims to connect all relevant organizations for joint response in emergency and crises situations. The Emergency Maps Tool aims to display all relevant resources (e.g., authorities, organization, points and object of interests, messages, etc.) involved or of special importance, in order to allow proper decision making. EMT allows decision makers to set and monitor activities, send and receive event related messages but also to include ad-hoc information from sensors or sensor networks (e.g., water monitoring sensors …
Bluetooth Beacon Network Suitability For Crisis Management, Jonas Sevcik
Bluetooth Beacon Network Suitability For Crisis Management, Jonas Sevcik
International Congress on Environmental Modelling and Software
This research addresses assessment of Bluetooth Low Energy beacon based sensor networks used indoors for navigation or localization purposes, e.g. for fire brigade or during emergency evacuation. The objective of this research is to evaluate suitability of beacon technology in the terms of overall stability and precision. We focused on commercially highly deployed beacon brand Estimote, for usage in such network infrastructures. These beacons were tested in a real field deployment conditions, with focus on radiated signal quality and its spreading. Test measurements were made by iOS based smartphones to evaluate precision of user localization. Furthermore, beacons were tested in …
Development Of A Novel Mobile Industrial-Scale Fluidized Adsorption Process For Emergency Treatment Of Water Polluted By Aniline: Cfd Simulation And Experiments, Zhaolin Du, Tong Zheng, Huizhe Cao, Jiping Jiang, Peng Wang
Development Of A Novel Mobile Industrial-Scale Fluidized Adsorption Process For Emergency Treatment Of Water Polluted By Aniline: Cfd Simulation And Experiments, Zhaolin Du, Tong Zheng, Huizhe Cao, Jiping Jiang, Peng Wang
International Congress on Environmental Modelling and Software
Sudden river chemical spills accidents occurred frequently these years and caused great economic losses and odious social impacts. Although the current methods, such as the granular activated carbon package treatment in the Sudden Water Pollution Accident of Zhuozhang River of China, could make the water quality up to the standard, they resulted in the limited flow ability and low mass transfer capability, and also had some difficulty treating the unpredicted emergencies because of its location-specific treatment and time-consuming preparation work. Hence, a novel mobile industrial-scale fluidized adsorption process, which could address the above problems and was fast to deploy with …
Participatory Modelling To Assess Climate Impacts On Water Resources In The Big Wood Basin, Idaho, J. Koch, A. Inouye, D. Lach, J. Stevenson, J. P. Bolte
Participatory Modelling To Assess Climate Impacts On Water Resources In The Big Wood Basin, Idaho, J. Koch, A. Inouye, D. Lach, J. Stevenson, J. P. Bolte
International Congress on Environmental Modelling and Software
Many of the natural resource issues we face today cannot be fully understood using normal scientific methods or theories. When uncertainties or decision stakes are high, participation by an “extended peer community” can be critical to studying and managing complex systems since local expertise on land use and ecosystem processes may not otherwise be captured. We conducted a case study of participatory modelling to support natural resource management under a changing climate. Over a two-year period, we convened a Knowledge to Action Network (KTAN) of scientists and stakeholders interested in exploring the impacts of climate change in Idaho’s Big Wood …
R Package Mvghd: Causal Inference Procedure For Geographic High-Dimensional, Stéphane Bourrelly, Pascal Auquier
R Package Mvghd: Causal Inference Procedure For Geographic High-Dimensional, Stéphane Bourrelly, Pascal Auquier
International Congress on Environmental Modelling and Software
Causal statistic inference is a key issue in machine learning. The goal is designing procedures that are able to select relevant subsets of explanatory variables, which might help scientists to better understand the underlying mechanisms behind the studied phenomena. We present a causal statistic inference procedure, especially designed for Geographic High-dimensional Datasets (GHD). The promise of discovering unknown informative factors are as great as the intrinsic learning challenges in these complex datasets, which are more and more common in the fields of environment, health, ecology, epidemiology, geography, agriculture, etc. Firstly, we point out the difference between the variable selection strategies …
From Openmi To Hydrocouple: Advancing Openmi To Support Experimental Simulations And Standard Geospatial Datasets, Caleb A. Buahin, Jeffery S. Horsburgh
From Openmi To Hydrocouple: Advancing Openmi To Support Experimental Simulations And Standard Geospatial Datasets, Caleb A. Buahin, Jeffery S. Horsburgh
International Congress on Environmental Modelling and Software
HydroCouple is a cross-platform, component-based modeling interface definition that largely follows the Open Modeling Interface 2.0 (OpenMI) specification. HydroCouple provides advancements to better facilitate those experimental model investigations that fall into the so-called “embarrassingly parallel” class of simulations, including uncertainty assessment, ensemble forecasting, and optimization simulations. Additionally, HydroCouple explicitly incorporates low level interface definitions for multi- dimensional datasets and geospatial data formats including the Open Geospatial Consortium’s Simple Feature Access specification, raster datasets, and meshes that are widely used in the earth systems and environmental modeling field. In this paper, we describe these and other advances provided by the HydroCouple …
Towards A Neural Networks-Based Prediction Tool Devoted To Low Water-Levels Forecasting: Relevant Architecture Selection Based On Main Physical Processes, A. Coutouis, A. Johannet, S. Pistre, P. -A. Ayral, L. Cadilhac
Towards A Neural Networks-Based Prediction Tool Devoted To Low Water-Levels Forecasting: Relevant Architecture Selection Based On Main Physical Processes, A. Coutouis, A. Johannet, S. Pistre, P. -A. Ayral, L. Cadilhac
International Congress on Environmental Modelling and Software
Karst aquifers provide water resource for a large part of the Mediterranean population and water resource becomes a strategic problem during summer when population increases due to tourism. To help managers to optimize the exploitation of water, this work studies the ability of a neural network model to efficiently simulate water levels in the Cèze River, connected to a karst aquifer, few months ahead during the dry season. The neural model is based on recurrent multilayer perceptrons that learn the relations between inputs (mainly rainfall and ETP) and output (water level). After a training step using 17 years of data, …