Incorporating Ecological Data and Associated Uncertainty in Bioaccumulation Modeling: Methodology Development and Case Study

2009 ◽  
Vol 43 (7) ◽  
pp. 2620-2626 ◽  
Author(s):  
Frederik De Laender ◽  
Dick Van Oevelen ◽  
Jack J. Middelburg ◽  
Karline Soetaert
Keyword(s):  
Ecological Data ◽  
Methodology Development ◽  
Modeling Methodology

scholarly journals Dispersal in a house sparrow metapopulation: an integrative case study of genetic assignment calibrated with ecological data and pedigree information

2021 ◽  
Author(s):  
Dilan Saatoglu ◽  
Alina K. Niskanen ◽  
Markku Kuismin ◽  
Peter S. Ranke ◽  
Ingerid J. Hagen ◽  
...  
Keyword(s):  
House Sparrow ◽  
Pedigree Information ◽  
Ecological Data ◽  
Genetic Assignment

Regional biogeographical model of vegetation zones in doctoral programme Regional Biography in Olomouc (Case study for Norway spruce)

2020 ◽  
Author(s):  
Ivo Machar ◽  
Marián Halás ◽  
Zdeněk Opršal
Keyword(s):  
Climate Change ◽  
Regional Climate ◽  
Climate Change Impacts ◽  
Climate Data ◽  
Ecological Data ◽  
The Czech Republic ◽  
Climate Conditions ◽  
Vegetation Zones ◽  
Landscape Research

Regional climate changes impacts induce vegetation zones shift to higher altitudes in temperate landscape. This paper deals with applying of regional biogeography model of climate conditions for vegetation zones in Czechia to doctoral programme Regional Geography in Palacky University Olomouc. The model is based on general knowledge of landscape vegetation zonation. Climate data for model come from predicted validated climate database under RCP8.5 scenario since 2100. Ecological data are included in the Biogeography Register database (geobiocoenological data related to landscape for cadastral areas of the Czech Republic). Mathematical principles of modelling are based on set of software solutions with GIS. Students use the model in the frame of the course “Special Approaches to Landscape Research” not only for regional scenarios climate change impacts in landscape scale, but also for assessment of climate conditions for growing capability of agricultural crops or forest trees under climate change on regional level.

scholarly journals Reference model for building innovation networks in information technology

2021 ◽  
Vol 28 (3) ◽  
Author(s):  
Adauto Lucas da Silva ◽  
Fábio Müller Guerrini
Keyword(s):  
Information Technology ◽  
Research Methodology ◽  
Formation Process ◽  
Reference Model ◽  
Knowledge Development ◽  
Innovation Networks ◽  
Organizational Processes ◽  
Exploratory Case Study ◽  
Modeling Methodology

Abstract: The change in organizational processes by means of associating the new resources made available by IT (Information Technology) with the intrinsic characteristics of business-related areas embodies one of the innovation concepts. This work proposes a reference model for the formation of innovation networks focused on implementing systems that represent innovations by associating IT with the business area. The research methodology is based on an exploratory case study, composed of several analysis units, and on the organizational modeling methodology EKD (Enterprise Knowledge Development) to formulate the reference model. This research proposition contributes to systematize the formation process of collaborative alliances among the innovation agents in order to implement Information Technology-based systems.

Economic Project Risk Assessment in Remediation Projects Prior to Construction: Methodology Development and Case Study Application

2015 ◽  
Vol 25 (2) ◽  
pp. 117-138 ◽  
Author(s):  
Petra Brinkhoff ◽  
Malin Norin ◽  
Jenny Norrman ◽  
Lars Rosén ◽  
Kristine Ek
Keyword(s):  
Risk Assessment ◽  
Project Risk ◽  
Methodology Development ◽  
Study Application ◽  
Project Risk Assessment

scholarly journals Direct measurement of selected soil services in a drained agricultural field: Methodology development and case study in Saclay (France)

2020 ◽  
Vol 42 ◽  
pp. 101088 ◽  
Author(s):  
Maha Chalhoub ◽  
Benoit Gabrielle ◽  
Julien Tournebize ◽  
Cédric Chaumont ◽  
Pascal Maugis ◽  
...  
Keyword(s):  
Direct Measurement ◽  
Agricultural Field ◽  
Methodology Development ◽  
Field Methodology

scholarly journals Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants

2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Diego Sierra ◽  
Leonardo Montecchi ◽  
Ivan Mura
Keyword(s):  
Stochastic Modeling ◽  
Operating Conditions ◽  
Chemical Plants ◽  
Domino Effect ◽  
Modeling And Analysis ◽  
Modeling Methodology ◽  
Vapor Cloud ◽  
Maintenance Activities ◽  
Support Decision Making

Abstract Because of the substances they process and the conditions of operation, chemical plants are systems prone to the occurrence of undesirable and potentially dangerous events. Major accidents may occur when a triggering event produces a cascading accident that propagates to other units, a scenario known as domino effect. Assessing the probability of experiencing a domino effect and estimating the magnitude of its consequences is a complex task, as it depends on the nature of the substances being processed, the operating conditions, the failure proneness of equipment units, the execution of preventive maintenance activities, and of course the plant layout. In this work, we propose a stochastic modeling methodology to perform a probabilistic analysis of the likelihood of domino effects caused by propagating vapor cloud explosions. Our methodology combines mathematical models of the physical characteristics of the explosion, with stochastic state-based models representing the actual propagation among equipment units and the effect of maintenance activities. Altogether, the models allow predicting the likelihood of major events occurrence and the associated costs. A case study is analyzed, where various layouts of atmospheric gasoline tanks are assessed in terms of the predicted consequences of domino effects occurrence. The results of the analyses show that our approach can provide precious insights to support decision-making for safety and cost management.

The complimentary role of genetic and ecological data in understanding population structure: a case study using moose (Alces alces)

2011 ◽  
Vol 58 (2) ◽  
pp. 415-423 ◽  
Author(s):  
L. A. Finnegan ◽  
P. J. Wilson ◽  
G. N. Price ◽  
S. J. Lowe ◽  
B. R. Patterson ◽  
...  
Keyword(s):  
Population Structure ◽  
Alces Alces ◽  
Ecological Data
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