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Intersystem Implications Of The Developmental Origins Of Health And Disease: Advancing Health Promotion In The 21st Century, Michael D. Barnes, Thomas L. Heaton, Michael C. Goates, Justin M. Packer Jul 2016

Intersystem Implications Of The Developmental Origins Of Health And Disease: Advancing Health Promotion In The 21st Century, Michael D. Barnes, Thomas L. Heaton, Michael C. Goates, Justin M. Packer

Faculty Publications

The developmental origins of health and disease (DOHaD) theory and life course theory (LCT) are emerging fields of research that have significant implications for the public health and health promotion professions. Using a DOHaD/LCT perspective, social determinants of health (SDH) take on new critical meaning by which health promotion professionals can implement DOHaD/LCT guided interventions, including recommended policies. Through these interventions, public health could further address the sources of worldwide chronic disease epidemics and reduce such disease rates substantially if related policy, programs, and interdisciplinary and multi-sector collaboration are emphasized. Additional characteristics of the most effective interventions involve context-specific adaptation …

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Water Supply System Classification For Water Quality Improvement, Bruno Melo Brentan, Gustavo Meirelles Lima, Edevar Luvizotto Junior, Joaquín Izquierdo, Rafael Pérez-García Jul 2016

Water Supply System Classification For Water Quality Improvement, Bruno Melo Brentan, Gustavo Meirelles Lima, Edevar Luvizotto Junior, Joaquín Izquierdo, Rafael Pérez-García

International Congress on Environmental Modelling and Software

Universal access to drinkable water is a constitutional right guaranteed in Brazil. However, not all cities in this country are able to supply the population with the expected quality. Important actions should be taken to improve the supply of drinkable water. To define a strategic plan for this purpose, classification tools can facilitate the design of plans, by grouping cities with similar quality conditions. During the last decades, neural network approaches have been used in environmental models, allowing more accurate representation of some complex systems. This work proposes the use of self-organizing maps (SOM’s) coupled with the k-means algorithm …

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Understanding The Relationships Between Sanitation And Health In Nicaragua And Honduras, Through Data Mining Tools, Ginevra Marina Lazerini, Josep Nualart, Sergio Ruiz-Cayuela, Maialen Urbina, Miquel Sànchez Marrè, Karina Gibert Jul 2016

Understanding The Relationships Between Sanitation And Health In Nicaragua And Honduras, Through Data Mining Tools, Ginevra Marina Lazerini, Josep Nualart, Sergio Ruiz-Cayuela, Maialen Urbina, Miquel Sànchez Marrè, Karina Gibert

International Congress on Environmental Modelling and Software

The aim of this work is to analyze water and sanitation supply data from Nicaragua and Honduras by using different data mining tools. The data has been provided by SIASAR (Rural Water and Sanitation Information System), which is a water and sanitation management and information platform created through the joint effort of different Central American Governments and the World Bank. In the study data from a survey performed in all the rural communities in Nicaragua and in a sample of the rural communities in Honduras from 2012 to 2015 is analyzed. Database contains 10206 communities described by 23 numerical variables …

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A Framework For Decision-Making In Cases Of Invasive Species, Peter A. Khaiter, Marina G. Erechtchoukova, Sina Roushan Jul 2016

A Framework For Decision-Making In Cases Of Invasive Species, Peter A. Khaiter, Marina G. Erechtchoukova, Sina Roushan

International Congress on Environmental Modelling and Software

Invasion of nonindigenous species is one of the most pressing global challenges, causing substantial environmental, economic and social harm. Invasion of alien species alters the composition, structure and functioning of invaded ecosystems as well as the services they generated before the invasion. Decisions about the management of invasive cases are inherently difficult because of the multifactorial and multiattribute scope of the problem. In particular, the resilience limits of invaded ecosystems to fully recover original, pre-invaded states remain unclear. To facilitate management efforts, decision-makers and environmental practitioners require a framework integrating relevant knowledge and acting as a supporting expert system. The …

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Sectorization Of Intermittent Water Supply Networks Based On Graph Theory And Clustering Techniques, Amilkar E. Ilaya-Ayza, David Ayala-Cabrera, Joaquín Izquierdo, Enrique Campbell, Rafael Pérez-García Jul 2016

Sectorization Of Intermittent Water Supply Networks Based On Graph Theory And Clustering Techniques, Amilkar E. Ilaya-Ayza, David Ayala-Cabrera, Joaquín Izquierdo, Enrique Campbell, Rafael Pérez-García

International Congress on Environmental Modelling and Software

Intermittent water supply is the form of access to water in many countries around the world. It is very common that design, operation, maintenance and, in general, decision-making in these systems are performed using tools originally developed for systems with continuous supply, which are not adequate. However, these tools can be reasonably applied to network sectorization of intermittent supply networks. We propose a sectorization methodology for networks that do not have the possibility of working with continuous supply. In addition, to ensure sufficient pressure, sector design must guarantee equity in the supply. Furthermore, it is not enough to establish sector …

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Fuzzy Vs Neural Network Models For Environmental Decision Support System Implementation Aiming To Standardise The Multiparametric Decision In A Drinking Water Plant With Electrodialysis Reversal, Montse Dalmau, Hèctor Monclús, Joan Espasa, Natasa Atanasova, Manel Poch, Pere Emiliano, Oriol Capdevila, Santiago González, Fernando Valero Jul 2016

Fuzzy Vs Neural Network Models For Environmental Decision Support System Implementation Aiming To Standardise The Multiparametric Decision In A Drinking Water Plant With Electrodialysis Reversal, Montse Dalmau, Hèctor Monclús, Joan Espasa, Natasa Atanasova, Manel Poch, Pere Emiliano, Oriol Capdevila, Santiago González, Fernando Valero

International Congress on Environmental Modelling and Software

The development of an environmental decision support system (EDSS) by means of two different aims to support the operators’ decisions in the drinking water treatment plant (DWTP), equipped with the biggest electrodialysis reversal (EDR) in the world has been tested. A fuzzy artificial neural network model (fuzzy) and an artificial neural network (ANN) have been compared for optimizing the decision: how to manage water blending ratios from EDR and conventional treatment of the drinking water plant, evaluating Llobregat River characteristics (inlet DWTP), current operating conditions of DWTP, weather conditions and distribution requirements on-line. This tool has been tested among 4,5 …

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A Multi-Disciplinary Procedure To Ascertain Biofilm Formation In Drinking Water Pipes, Eva Ramos-Martinez, Manuel Herrera, Joaquín Izquierdo, Rafael Pérez-García Jul 2016

A Multi-Disciplinary Procedure To Ascertain Biofilm Formation In Drinking Water Pipes, Eva Ramos-Martinez, Manuel Herrera, Joaquín Izquierdo, Rafael Pérez-García

International Congress on Environmental Modelling and Software

Biofilm development in drinking water distribution systems (DWDSs) is a real problem negatively affecting service and water quality, and, thus, the satisfaction of the final consumers. It is the direct and indirect responsible for many of the DWDSs’ problems, and a lot of resources are invested to mitigate its effects. Addressing this problem has been a concern of researchers and DWDS managers for years. However, it is only recently that both technology and data have been available to support the new approach presented in this work. Our proposal is based on the combination of various existing data sets from similar …

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Land Use Change Effects Of Oil Palm Expansion On Ecosystem Services In Tapi River Basin, Thailand, Kanokwan Saswattecha, Lars Hein, Carolien Kroeze, Warit Jawjit Jul 2016

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 …

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Big Data In Environmental And Human Health Risk Assessment: Opportunities And Challenges, Vikas Kumar Jul 2016

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 …

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Measuring Household Vulnerability: A Fuzzy Approach, Gautam Sethi, Molly Gilligan, Amy Richmond Jul 2016

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 …

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Learning On The Relationships Between Respiratory Desease And The Use Of Traditional Stoves In Bangladesh Households, Camila Vergara, Iñigo Arregui, Alain Balaguer, Tamia Gómez, Carmen Sandoval, Miquel Sànchez Marrè, Karina Gibert Jul 2016

Learning On The Relationships Between Respiratory Desease And The Use Of Traditional Stoves In Bangladesh Households, Camila Vergara, Iñigo Arregui, Alain Balaguer, Tamia Gómez, Carmen Sandoval, Miquel Sànchez Marrè, Karina Gibert

International Congress on Environmental Modelling and Software

More than 4 million people die prematurely every year by deseases related to indoor air pollution produced by solid fuels used in cooking (WHO, 2016, Jones 1999), fifty thousand of them in Bangladesh (News Medical, 2012), being women and children the most affected. Risk of pneumonia is high due to the irritants, toxins and carcinogens realeased into air by the incomplete combustion of solid fuels (biomass) used in traditional stoves (WHO 2016), which produce PM10 (particulate matter, small enough (≤10μm) to get into lungs). An open data base from the World Bank (WHO, 2016) (Dasgutpa et al 2006) describing a …

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From Climate Change Awareness To Energy Efficient Behaviour, Leila Niamir, Tatiana Filatova Jul 2016

From Climate Change Awareness To Energy Efficient Behaviour, Leila Niamir, Tatiana Filatova

International Congress on Environmental Modelling and Software

Understanding and predicting how climate will change, and whether and how a transition to low-carbon economies will develop over the next century is of vital importance. Nowadays there is high competition between countries to achieve a low-carbon economy. They are examining different ways e.g. different energy efficient technologies and low-carbon energy sources, however they believe that human choices and behavioural change has a crucial impact, which is many times discussed in the literature as well. In this paper, we aim to discuss challenges related to modelling behavioural changes on the demand side and show effect of the demand side activation …

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Environmental Model Managment Within The Us Environmental Protection Agency, Andrew J. R. Gillespie Jul 2016

Environmental Model Managment Within The Us Environmental Protection Agency, Andrew J. R. Gillespie

International Congress on Environmental Modelling and Software

The United States Environmental Protection Agency (USEPA) is responsible for formulating and implementing environmental rules and regulations under several major US laws aimed at protecting human health and the environment. USEPA’s work strives to be grounded on a strong and rigorous scientific foundation which increasingly relies on models to improve understanding of complex human- environmental systems. USEPA decisions are frequently challenged in courts, so the underlying science needs to meet a high bar in terms of transparency and scientific rigor established through peer review. USEPA currently has no universal framework for managing models over a lifecycle. There is a grassroots …

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Behaviour Change And Incentive Modelling For Water Saving: First Results From The Smarth2o Project, J. Novak, M. Melenhorst, I. Micheel, C. Pasini, P. Fraternali, A. E. Rizzoli Jul 2016

Behaviour Change And Incentive Modelling For Water Saving: First Results From The Smarth2o Project, J. Novak, M. Melenhorst, I. Micheel, C. Pasini, P. Fraternali, A. E. Rizzoli

International Congress on Environmental Modelling and Software

Stimulating users to save water is a challenge and an opportunity for water demand management. Existing ICT-based systems for behavioural change often do not consider the underlying behavioural determinants in a systematic way. This paper discusses the design of the behavioural change and incentive model for the SmartH2O system, combining smart meter data with consumption visualisation and gamified incentive mechanisms to stimulate water saving. We show how the design of such a system can be related to a holistic behavioural change model and how this systematic mapping can inform the design of an integrated incentive model combining different incentive types …

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Spatial And Dynamic Sensitivity Analysis Of A Biophysical Model Of Nitrogen Transfers And Transformations At The Landscape Scale., Jordi Ferrer Saval, Pierre Barbillon, Cyril Benhamou, Patrick Durand, Marie-Luce Taupin, Hervé Monod, Jean-Louis Drouet Jul 2016

Spatial And Dynamic Sensitivity Analysis Of A Biophysical Model Of Nitrogen Transfers And Transformations At The Landscape Scale., Jordi Ferrer Saval, Pierre Barbillon, Cyril Benhamou, Patrick Durand, Marie-Luce Taupin, Hervé Monod, Jean-Louis Drouet

International Congress on Environmental Modelling and Software

Modelling complex systems such as agroecosystems often requires the quantification of a large number of input factors. Sensitivity analyses are useful to fix the appropriate spatial and temporal resolution of models and to reduce the number of input factors to be measured or estimated accurately. Comprehensive spatial and dynamic sensitivity analyses were applied to the Nitroscape model, a deterministic spatially distributed model describing nitrogen transfers and transformations in a rural landscape. Simulations were led on a virtual landscape that represented five years of farm management in an intensive rural area of 3 km². Cluster analyses were applied to summarize the …

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Escapade To Quantify Nitrogen Losses In Territories And Assess Mitigation And Adaptation Strategies, Jean-Louis Drouet, François Laurent, Patrick Durand, Gilles Billen, Pierre Cellier, Olivier Maury, Stéphanie Potok, Philippe Faverdin, Christophe Fléchard, Josette Garnier, Armelle Guy, Catherine Hénault, Catherine Mignolet, Hervé Monod, Anne Probst, Stéphane Sorin, Gaëlle Tallec, Matthias Beekmann, Eric Ceschia, Cécile Le Gall, Thierry Morel, Gauthier Quesnel, Eric Ramat Jul 2016

Escapade To Quantify Nitrogen Losses In Territories And Assess Mitigation And Adaptation Strategies, Jean-Louis Drouet, François Laurent, Patrick Durand, Gilles Billen, Pierre Cellier, Olivier Maury, Stéphanie Potok, Philippe Faverdin, Christophe Fléchard, Josette Garnier, Armelle Guy, Catherine Hénault, Catherine Mignolet, Hervé Monod, Anne Probst, Stéphane Sorin, Gaëlle Tallec, Matthias Beekmann, Eric Ceschia, Cécile Le Gall, Thierry Morel, Gauthier Quesnel, Eric Ramat

International Congress on Environmental Modelling and Software

Agriculture is facing to the challenge of maintaining or even increasing production while limiting the use of nitrogen inputs. The introduction of mineral nitrogen in agroecosystems feeds a cascade of processes and losses to the environment at each stage of the cascade with many environmental and societal impacts (degradation of air, water and soil quality, impacts on greenhouse gas balance, biodiversity and human health…). Since classical approaches at plot or farm scale do not make possible to control all impacts, levers must also be sought at larger scales. The overall objective of the interdisciplinary project ESCAPADE (ANR-12-AGRO-0003, 2013-2017) is to …

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A Survey On Data-Driven Decision Support Systems Using Effective Narrative Pattern, Martin Komenda, Matěj Karolyi Jul 2016

A Survey On Data-Driven Decision Support Systems Using Effective Narrative Pattern, Martin Komenda, Matěj Karolyi

International Congress on Environmental Modelling and Software

Nowadays information technology assists with decision making in various fields of human activities. This paper focuses on a survey of decision support portals and systems that provide any data visualization form and reporting in the environmental research field. Generally, data outputs in environmental research are too large, and it might be difficult for the general public to be well oriented when exploring shown data sets. Therefore, it would be appropriate to guide readers, or to point out the fundamental features of the presentation. One of the effective techniques to lead the reader is data visualization storytelling. It expands exploratory data …

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Design And Implementation Of A Rest Api For The Human Well Being Index (Hwbi), Amber R. Ignatius, Kurt Wolfe, Rajbir Parmar, Jonathan Flaishans, Linda Harwell, Susan Yee, Tom Purucker, Mike Galvin Jul 2016

Design And Implementation Of A Rest Api For The Human Well Being Index (Hwbi), Amber R. Ignatius, Kurt Wolfe, Rajbir Parmar, Jonathan Flaishans, Linda Harwell, Susan Yee, Tom Purucker, Mike Galvin

International Congress on Environmental Modelling and Software

Interoperable software development uses principles of component reuse, systems integration, flexible data transfer, and standardized ontological documentation to promote access, reuse, and integration of code. While interoperability principles are increasingly considered technology standards in software engineering, adoption by the environmental modeling community has been slow. We created an Application Programming Interface (API) for the U.S. Environmental Protection Agency’s Human Well-being Index (HWBI) model based on interoperability principles. The HWBI characterizes economic, social, and environmental services during years 2000-2010. For each county in the U.S., specific metrics (e.g., life expectancy, housing affordability, voter turnout) are used to calculate scores for eight …

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Cloud Services Integration Platform (Csip) Model And Data Services, Olaf David, W. Lloyd, J. Carlson, M. Arabi, T. Wible Jul 2016

Cloud Services Integration Platform (Csip) Model And Data Services, Olaf David, W. Lloyd, J. Carlson, M. Arabi, T. Wible

International Congress on Environmental Modelling and Software

The Cloud Services Integration Platform (CSIP) is an open platform tailored to develop and deploy microservices for environmental models with data sources. Its emergence responded to needs within the modelling community for rapid and wide access to such modelling resources. CSIP was designed from the ground up (1) to account for modelling service elasticity and scalability, (2) to leverage contemporary computational approaches, (3) to address interoperability and traceability within operational settings, (4) to allow platform and language agnostic service access and cloud agnostic deployment while providing a simple, OMS3 based non-invasive approach to leverage legacy and new modelling solutions with …

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Global Monitoring Plan Data Warehouse As A Tool For Worldwide Assessment Of Persistent Organic Pollution, Jiří Kalina, Jiří Hřebíček, Richard Hůlek, Jana Borůvková, Jana Klánová Jul 2016

Global Monitoring Plan Data Warehouse As A Tool For Worldwide Assessment Of Persistent Organic Pollution, Jiří Kalina, Jiří Hřebíček, Richard Hůlek, Jana Borůvková, Jana Klánová

International Congress on Environmental Modelling and Software

In 2004 the Stockholm Convention came into force, which eliminates a manufacture and use of persistent organic pollutants. Global Monitoring Plan is an important executive component of the convention, providing framework for an evaluation of its effectiveness. It ensures collection of comparable monitoring data on POPs from around the world in order to identify changes in POPs concentrations over time and their eventual transport. There are several programs focused on a monitoring of persistent organic pollutants in diverse environmental matrices over the globe, each working with a different methodology of sampling and analyses. Results of these programs are reported in …

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Indexmed Projects: New Tools Using The Cigesmed Database On Coralligenous For Indexing, Visualizing And Data Mining Based On Graphs, Romain David, Jean-Pierre Féral, Anne-Sophie Archambeau, Nicolas Bailly, Cyrille Blanpain, Vincent Breton, Aurélien De Jode, Aurélie Delavaud, Alrick Dias, Sophie Gachet, Dorian Guillemain, Julien Lecubin, Geneviève Romier, Christian Surace, Laure Thierry De Ville D’Avray, Christos Arvanitidis, Anne Chenuil, Melih Ertan Ҫinar, Drosos Koutsoubas, Stéphane Sartoretto, Thierry Tatoni Jul 2016

Indexmed Projects: New Tools Using The Cigesmed Database On Coralligenous For Indexing, Visualizing And Data Mining Based On Graphs, Romain David, Jean-Pierre Féral, Anne-Sophie Archambeau, Nicolas Bailly, Cyrille Blanpain, Vincent Breton, Aurélien De Jode, Aurélie Delavaud, Alrick Dias, Sophie Gachet, Dorian Guillemain, Julien Lecubin, Geneviève Romier, Christian Surace, Laure Thierry De Ville D’Avray, Christos Arvanitidis, Anne Chenuil, Melih Ertan Ҫinar, Drosos Koutsoubas, Stéphane Sartoretto, Thierry Tatoni

International Congress on Environmental Modelling and Software

Data produced by the SeasEra CIGESMED project (Coralligenous based Indicators to evaluate and monitor the "Good Environmental Status" of the MEDiterranean coastal waters) have a high potential to be used by several stakeholders involved in environmental management. A new consortium called IndexMed whose task is to index Mediterranean biodiversity data, makes it possible to build graphs in order to analyse the CIGESMED data and develop new ways for data mining of coralligenous data. This paper presents the prototypes under development that test the ability of graphs dataBases and tools to connect biodiversity objects with non-centralized data. This project explores the …

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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 Jul 2016

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 …

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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 Jul 2016

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 …

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Numerical Modelling Of Particle Capture Efficiency And Fine Particles Sampling With Series Impaction Sizer, C-H Huang, Y-Y Chang Jul 2016

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 …

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One Dimensional Riverine Water Quality Modeling System (Hec-Ras/Nsm), Billy E. Johnson, Zhonglong Zhang Jul 2016

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 …

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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 Jul 2016

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 …

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Emergency Maps Tool – Facilitating Collaboration And Decision Making During Emergency & Crises Situations, Gerald Schimak, Peter Kutschera, Refiz Duro, Katharina Kutschera Jul 2016

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 …

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R Package Mvghd: Causal Inference Procedure For Geographic High-Dimensional, Stéphane Bourrelly, Pascal Auquier Jul 2016

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 …

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Climate Change Impacts And Implications: An Integrated Assessment In A Lowland Environment Of New Zealand, A. G.E. Ausseil, K. Bodmin, A. Daigneault, E. Teixeira, E. D. Keller, M. U. F. Kirschbaum, L. Timar, A. Dunningham, C. Zammit, S. Stephens, M. Cameron, P. Blackett, G. Harmsworth, B. Frame, A. Reisinger, A. Tait, D. Rutledge Jul 2016

Climate Change Impacts And Implications: An Integrated Assessment In A Lowland Environment Of New Zealand, A. G.E. Ausseil, K. Bodmin, A. Daigneault, E. Teixeira, E. D. Keller, M. U. F. Kirschbaum, L. Timar, A. Dunningham, C. Zammit, S. Stephens, M. Cameron, P. Blackett, G. Harmsworth, B. Frame, A. Reisinger, A. Tait, D. Rutledge

International Congress on Environmental Modelling and Software

New Zealand’s mixed economy includes a range of sectors (e.g. primary production, energy, tourism) that depend heavily on the state of natural resource capital. This makes the economy heavily dependent on future global climate change and the global economic situation. In this paper, we present a framework to evaluate socio-economic and environmental impacts of future climate and land-use change, and give results for one scenario in a typical lowland environment in New Zealand. The future scenario was designed as a combination of global climate and socio-economic assumptions, along with New Zealand-specific policy assumptions. We evaluated the impacts and implications of …

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How To Couple Ecological Database To Geochemical Dynamic Model To Predict The Impact Of Atmospheric Nitrogen Deposition And Climate Change On French Forest Ecosystems At The National Scale?, S. Rizzetto, J. -.C Gégout, S. Belyazid, E. Kuhn, H. Sverdrup, A. Probst Jul 2016

How To Couple Ecological Database To Geochemical Dynamic Model To Predict The Impact Of Atmospheric Nitrogen Deposition And Climate Change On French Forest Ecosystems At The National Scale?, S. Rizzetto, J. -.C Gégout, S. Belyazid, E. Kuhn, H. Sverdrup, A. Probst

International Congress on Environmental Modelling and Software

Nitrogen atmospheric deposition is known to severely impact ecosystem functioning by influencing soil biogeochemistry, nutrients balance and, consequently, tree growth, forest health and biodiversity. Because the ongoing global changes affect the ecosystem processes, climate change and atmospheric deposition must be conjointly taken into account to assess the evolution of forest ecosystem status over time. The general purpose of this work was to predict forest vegetation response to the combined impacts of nitrogen atmospheric deposition and climate change by using dynamic modelling approaches. The coupled biogeochemical-ecological model ForSAFE-Veg was first run to simulate this response on three well referenced studied sites …

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