An integrated environmental modeling framework for performing Quantitative Microbial Risk Assessments

2014 ◽  
Vol 55 ◽  
pp. 77-91 ◽  
Author(s):  
Gene Whelan ◽  
Keewook Kim ◽  
Mitch A. Pelton ◽  
Jeffrey A. Soller ◽  
Karl J. Castleton ◽  
...  
Keyword(s):  
Environmental Modeling ◽  
Risk Assessments ◽  
Modeling Framework ◽  
Microbial Risk

Trends in conducting quantitative microbial risk assessments for water reuse systems: A review

2020 ◽  
Vol 16 ◽  
pp. 100132
Author(s):  
Veronika Zhiteneva ◽  
Uwe Hübner ◽  
Gertjan J. Medema ◽  
Jörg E. Drewes
Keyword(s):  
Water Reuse ◽  
Risk Assessments ◽  
Microbial Risk

The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE

2021 ◽  
Author(s):  
Peter H. Verburg ◽  
Žiga Malek ◽  
Sean P. Goodwin ◽  
Cecilia Zagaria
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Land Use Changes ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Regional Modelling ◽  
Model Application ◽  
Climatic Regions ◽  
Single Region

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.

scholarly journals Cheese Microbial Risk Assessments — A Review

2016 ◽  
Vol 29 (3) ◽  
pp. 307-314 ◽  
Author(s):  
Kyoung-Hee Choi ◽  
Heeyoung Lee ◽  
Soomin Lee ◽  
Sejeong Kim ◽  
Yohan Yoon
Keyword(s):  
Risk Assessments ◽  
Microbial Risk

scholarly journals Integrating cellular automata and discrete global grid systems: a case study into wildfire modelling

2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Majid Hojati ◽  
Colin Robertson
Keyword(s):  
Big Data ◽  
Spatial Analysis ◽  
Cellular Automata ◽  
Spatial Data ◽  
Data Model ◽  
Data Access ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Global Grid

Abstract. With new forms of digital spatial data driving new applications for monitoring and understanding environmental change, there are growing demands on traditional GIS tools for spatial data storage, management and processing. Discrete Global Grid System (DGGS) are methods to tessellate globe into multiresolution grids, which represent a global spatial fabric capable of storing heterogeneous spatial data, and improved performance in data access, retrieval, and analysis. While DGGS-based GIS may hold potential for next-generation big data GIS platforms, few of studies have tried to implement them as a framework for operational spatial analysis. Cellular Automata (CA) is a classic dynamic modeling framework which has been used with traditional raster data model for various environmental modeling such as wildfire modeling, urban expansion modeling and so on. The main objectives of this paper are to (i) investigate the possibility of using DGGS for running dynamic spatial analysis, (ii) evaluate CA as a generic data model for dynamic phenomena modeling within a DGGS data model and (iii) evaluate an in-database approach for CA modelling. To do so, a case study into wildfire spread modelling is developed. Results demonstrate that using a DGGS data model not only provides the ability to integrate different data sources, but also provides a framework to do spatial analysis without using geometry-based analysis. This results in a simplified architecture and common spatial fabric to support development of a wide array of spatial algorithms. While considerable work remains to be done, CA modelling within a DGGS-based GIS is a robust and flexible modelling framework for big-data GIS analysis in an environmental monitoring context.

scholarly journals Development of an ESMF Based Flexible Coupling Application of ADCIRC and WAVEWATCH III for High Fidelity Coastal Inundation Studies

2020 ◽  
Vol 8 (5) ◽  
pp. 308 ◽  
Author(s):  
Saeed Moghimi ◽  
Andre Van der Westhuysen ◽  
Ali Abdolali ◽  
Edward Myers ◽  
Sergey Vinogradov ◽  
...  
Keyword(s):  
System Modeling ◽  
Atlantic Coast ◽  
Storm Track ◽  
Circulation Model ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Earth System Modeling ◽  
Coastal Inundation ◽  
Wavewatch Iii ◽  
Fully Implicit

To enable flexible model coupling in coastal inundation studies, a coupling framework based on the Earth System Modeling Framework (ESMF) and the National Unified Operational Prediction Capability (NUOPC) technologies under a common modeling framework called the NOAA Environmental Modeling System (NEMS) was developed. The framework is essentially a software wrapper around atmospheric, wave and storm surge models that enables its components communicate seamlessly, and efficiently to run in massively parallel environments. For the first time, we are introducing the flexible coupled application of the ADvanced CIRCulation model (ADCIRC) and unstructured fully implicit WAVEWATCH III including NUOPC compliant caps to read Hurricane Weather Research and Forecasting Model (HWRF) generated forcing fields. We validated the coupled application for a laboratory test and a full scale inundation case of the Hurricane Ike, 2008, on a high resolution mesh covering the whole US Atlantic coast. We showed that how nonlinear interaction between surface waves and total water level results in significant enhancements and progression of the inundation and wave action into land in and around the hurricane landfall region. We also presented that how the maximum wave setup and maximum surge regions may happen at the various times and locations depending on the storm track and geographical properties of the landfall area.

scholarly journals Case studies in Bayesian microbial risk assessments

2009 ◽  
Vol 8 (Suppl 1) ◽  
pp. S19 ◽  
Author(s):  
Marc C Kennedy ◽  
Helen E Clough ◽  
Joanne Turner
Keyword(s):  
Case Studies ◽  
Risk Assessments ◽  
Microbial Risk

scholarly journals Environmental modeling framework invasiveness: Analysis and implications

2011 ◽  
Vol 26 (10) ◽  
pp. 1240-1250 ◽  
Author(s):  
W. Lloyd ◽  
O. David ◽  
J.C. Ascough ◽  
K.W. Rojas ◽  
J.R. Carlson ◽  
...  
Keyword(s):  
Environmental Modeling ◽  
Modeling Framework

Guidelines for the safe use of wastewater in agriculture: revisiting WHO guidelines

2004 ◽  
Vol 50 (2) ◽  
pp. 31-38 ◽  
Author(s):  
R.M. Carr ◽  
U.J. Blumenthal ◽  
D. Duncan Mara
Keyword(s):  
Health Care ◽  
Drinking Water ◽  
Relevant Information ◽  
Epidemiological Studies ◽  
Risk Assessments ◽  
Who Guidelines ◽  
Microbial Risk ◽  
Scarce Resources ◽  
Health Measures ◽  
Hygiene Promotion

The use of wastewater in agriculture is occurring more frequently because of water scarcity and population growth. Often the poorest households rely on this resource for their livelihood and food security needs. However, there are negative health implications of this practice that need to be addressed. WHO developed Guidelines for the Safe Use of Wastewater in Agriculture in 1989. The Guidelines are currently being revised based on new data from epidemiological studies, quantitative microbial risk assessments and other relevant information. WHO guidelines must be practical and offer feasible risk management solutions that will minimize health threats and allow for the beneficial use of scarce resources. To achieve the greatest impact on health, guidelines should be implemented with other health measures such as: health education, hygiene promotion, provision of adequate drinking water and sanitation, and other health care measures.

scholarly journals TOWARDS IMPLEMENTATION OF COMPONENT-BASED MODELING IN THE PLATFORM FOR CREATING KNOWLEDGE-BASED SYSTEMS

2022 ◽  
pp. 21-30
Author(s):  
Александр Борисович Столбов ◽  
Анна Ананьевна Лемперт ◽  
Александр Иннокентьевич Павлов
Keyword(s):  
Environmental Modeling ◽  
Complex Model ◽  
Balance Model ◽  
Knowledge Based Systems ◽  
Complex Objects ◽  
Modeling Framework ◽  
Knowledge Based ◽  
Modeling Process ◽  
Model Components

В статье исследуются проблемы автоматизации и интеллектуальной поддержки процесса математического и имитационного моделирования сложных объектов за счёт комбинации компонентно-ориентированного и онтологического подходов. В качестве основной прикладной области для применения обсуждаемых методов и средств предполагается использовать такое направление, как комплексное моделирование окружающей среды. В контексте изучаемых вопросов рассмотрены современные подходы к автоматизации компонентно-ориентированного моделирования. При интеграции компонентов-моделей в единую результирующую комплексную модель разработчику необходимо не только обеспечить формальное согласование со стандартами используемого каркаса моделирования, но и учитывать различные типы семантической и синтаксической неоднородности компонентов. В связи с этим выполнена классификация типов интеграции комплексных моделей, обсуждаются особенности реализации компонентно-ориентированного моделирования в авторской платформе создания систем, основанных на знаниях. В качестве иллюстративного примера рассматривается гидролого-экологическая балансовая модель. The article considers the problems of automation and intellectual support of the mathematical and simulation modeling process of complex objects via a combination of component-based and ontological approaches. As the main application area for the discussed methods and tools, it is proposed to use the integrated environmental modeling domain. In this context, modern approaches to the automation of component-based modeling are considered. To couple model components into a final complex model, the developer needs not only to ensure formal agreement with the standards of the modeling framework but also to take into account various types of semantic and syntactic heterogeneity of components. In this regard, the classification of the integration types for complex modeling is carried out, the related implementation features in the author's platform for creating knowledge-based systems are discussed. The hydrological-ecological balance model is considered an illustrative example.

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