On the Uncertainty Control in the Complex Multiphysics Systems in the Task of Multi-Scale Stochastic GHG and Carbon Balance Modeling

2018 ◽  
Vol 6 (2) ◽  
pp. 12-41
Author(s):  
Yuriy Kostyuchenko ◽  
Anna Kozlova ◽  
Dmytro Movchan ◽  
Olga Sedlerova ◽  
Maxim Yuschenko
Keyword(s):  
Decision Making ◽  
Uncertainty Analysis ◽  
Carbon Balance ◽  
Ghg Emissions ◽  
Comprehensive Analysis ◽  
Uncertainty Component ◽  
Multi Scale ◽  
Component Systems ◽  
New Knowledge ◽  
Uncertainty Control

The problem of uncertainty analysis in complex multi-component systems is considered. The problem of decision making with uncertainty in tasks modeling carbon balance and the analysis of greenhouse gas (GHG) emissions using satellite tools was considered. Approaches to decision making under uncertainty are described in terms of interval, fuzzy, and stochastic assessments. Different approaches and algorithms to calculate carbon and GHG emissions are described. For every algorithm, errors and uncertainties are analyzed and estimated. Algorithms for uncertainty analysis based on integrated interlinked models of the system are presented. Algorithms for the analysis of components of vegetation productivity assessment using satellite data are proposed. Uncertainty component analysis allows the understanding of important properties of the system studied, and its feedback as to its anthropogenic load and impact on the climate. It was demonstrated that the comprehensive analysis of uncertainties allows not only the reduction of errors, but new knowledge about the studied systems.

Stochastic Approach to Uncertainty Control in Multiphysics Systems

2017 ◽  
pp. 350-378 ◽  
Author(s):  
Yuriy V. Kostyuchenko ◽  
Dmytro Movchan ◽  
Igor Artemenko ◽  
Ivan Kopachevsky
Keyword(s):  
Decision Making ◽  
Uncertainty Analysis ◽  
Ghg Emissions ◽  
Stochastic Approach ◽  
Climate Impact ◽  
Decision Making Under Uncertainty ◽  
Component Systems ◽  
New Knowledge ◽  
Uncertainty Control ◽  
Productivity Assessment

The problem of uncertainty analysis in multi-component systems is considered. As an example a problem of decision making under uncertainty in task of modeling of carbon balance and analysis of greenhouse gases (GHG) emissions using satellite tools was considered. Approaches to decision making under uncertainty are described: interval, fuzzy, and stochastic assessments. Different approaches and algorithms to calculate carbon and GHG emissions are described. For every algorithm (deterministic inventory, ecological modeling, and satellite control of emissions) errors and uncertainties are analyzed and estimated. Algorithms for uncertainty analysis are presented. Algorithm for analysis of components of uncertainty of vegetation productivity assessment using satellite data is proposed. Uncertainty component analysis allows understand important properties of the system studied and its feedback to anthropogenic load and climate impact. It was demonstrated that the comprehensive analysis of uncertainties not only reduces errors but also obtains new knowledge about the systems studied.

The Law & Politics of Brexit: Volume II

2020 ◽  
Keyword(s):  
Decision Making ◽  
European Union ◽  
Legal Framework ◽  
Comprehensive Analysis ◽  
The European Union ◽  
Trade Relations ◽  
The United Kingdom ◽  
The Uk ◽  
Financial Settlement ◽  
The Eu

This book provides the first comprehensive analysis of the withdrawal agreement concluded between the United Kingdom and the European Union to create the legal framework for Brexit. Building on a prior volume, it overviews the process of Brexit negotiations that took place between the UK and the EU from 2017 to 2019. It also examines the key provisions of the Brexit deal, including the protection of citizens’ rights, the Irish border, and the financial settlement. Moreover, the book assesses the governance provisions on transition, decision-making and adjudication, and the prospects for future EU–UK trade relations. Finally, it reflects on the longer-term challenges that the implementation of the 2016 Brexit referendum poses for the UK territorial system, for British–Irish relations, as well as for the future of the EU beyond Brexit.

scholarly journals Influence of the Water Source on the Carbon Footprint of Irrigated Agriculture: A Regional Study in South-Eastern Spain

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 351
Author(s):  
Bernardo Martin-Gorriz ◽  
Victoriano Martínez-Alvarez ◽  
José Francisco Maestre-Valero ◽  
Belén Gallego-Elvira
Keyword(s):  
Carbon Footprint ◽  
Carbon Balance ◽  
Ghg Emissions ◽  
Water Source ◽  
Policy Implications ◽  
Irrigated Agriculture ◽  
Regional Study ◽  
South Eastern ◽  
Hypothetical Scenario ◽  
Co2 Sink

Curbing greenhouse gas (GHG) emissions to combat climate change is a major global challenge. Although irrigated agriculture consumes considerable energy that generates GHG emissions, the biomass produced also represents an important CO2 sink, which can counterbalance the emissions. The source of the water supply considerably influences the irrigation energy consumption and, consequently, the resulting carbon footprint. This study evaluates the potential impact on the carbon footprint of partially and fully replacing the conventional supply from Tagus–Segura water transfer (TSWT) with desalinated seawater (DSW) in the irrigation districts of the Segura River basin (south-eastern Spain). The results provide evidence that the crop GHG emissions depend largely on the water source and, consequently, its carbon footprint. In this sense, in the hypothetical scenario of the TSWT being completely replaced with DSW, GHG emissions may increase by up to 50% and the carbon balance could be reduced by 41%. However, even in this unfavourable situation, irrigated agriculture in the study area could still act as a CO2 sink with a negative total and specific carbon balance of −707,276 t CO2/year and −8.10 t CO2/ha-year, respectively. This study provides significant policy implications for understanding the water–energy–food nexus in water-scarce regions.

Simulating multi-scale movement decision-making and learning in a large carnivore using agent-based modelling

2021 ◽  
Vol 452 ◽  
pp. 109568
Author(s):  
Alejandra Zubiria Perez ◽  
Christopher Bone ◽  
Gordon Stenhouse
Keyword(s):  
Decision Making ◽  
Agent Based ◽  
Large Carnivore ◽  
Agent Based Modelling ◽  
Multi Scale

scholarly journals Electrophysiological characterization of a diverse group of sugar transporters from Trichoderma reesei

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sami Havukainen ◽  
Jonai Pujol-Giménez ◽  
Mari Valkonen ◽  
Ann Westerholm-Parvinen ◽  
Matthias A. Hediger ◽  
...  
Keyword(s):  
Trichoderma Reesei ◽  
Scientific Literature ◽  
Large Body ◽  
Comprehensive Analysis ◽  
Transport Function ◽  
Sugar Transporters ◽  
New Knowledge ◽  
Electrophysiological Characterization ◽  
Shed Light

AbstractTrichoderma reesei is an ascomycete fungus known for its capability to secrete high amounts of extracellular cellulose- and hemicellulose-degrading enzymes. These enzymes are utilized in the production of second-generation biofuels and T. reesei is a well-established host for their production. Although this species has gained considerable interest in the scientific literature, the sugar transportome of T. reesei remains poorly characterized. Better understanding of the proteins involved in the transport of different sugars could be utilized for engineering better enzyme production strains. In this study we aimed to shed light on this matter by characterizing multiple T. reesei transporters capable of transporting various types of sugars. We used phylogenetics to select transporters for expression in Xenopus laevis oocytes to screen for transport activities. Of the 18 tested transporters, 8 were found to be functional in oocytes. 10 transporters in total were investigated in oocytes and in yeast, and for 3 of them no transport function had been described in literature. This comprehensive analysis provides a large body of new knowledge about T. reesei sugar transporters, and further establishes X. laevis oocytes as a valuable tool for studying fungal sugar transporters.

New Method of Knowledge Acquisition of Aid Decision-Making for Missile-Launching

2014 ◽  
Vol 1006-1007 ◽  
pp. 685-688
Author(s):  
Guo Bao Ding ◽  
Hao Xing ◽  
Lian Bing Wang ◽  
Dan Li
Keyword(s):  
Decision Making ◽  
Knowledge Acquisition ◽  
Power Supply System ◽  
Supply System ◽  
Pulse Power Supply ◽  
Causal Knowledge ◽  
Diagram Method ◽  
New Knowledge ◽  
Knowledge Acquisition Methods ◽  
Aid Decision

Acquiring causal knowledge of abnormity is essential to Missile-Launching reliably. There are lots of Knowledge Acquisition methods. But it is absence for usage and maintenance support process. So it is necessary to start the research on new knowledge acquisition technology of aid Decision-Making for Missile-Launching. Based on the Usage and Maintenance-Support Process, this thesis acquires knowledge with the ESD and CESD (Converse Event Sequence Diagram) method. First, this thesis gives the concept of CESD. Then, in order to adapt the CESD model of the complex systems more effectively, this paper expands the CESD framework and provides a software frame of computer aided ESD study. Finally, the operation of pulse power supply system is analyzed on the basis of the improved ESD and CESD. This sample shows the applicability of ESD and CESD methodology in knowledge acquisition technology of aid Decision-Making for Missile-Launching.

scholarly journals Strengthening the Capacity on Geospatial Information Technology and Earth Observation Applications

2021 ◽  
pp. 269-289
Author(s):  
Rajesh Bahadur Thapa ◽  
Poonam Tripathi ◽  
Mir A. Matin ◽  
Birendra Bajracharya ◽  
Betzy E. Hernandez Sandoval
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Carbon Balance ◽  
Anthropogenic Impacts ◽  
Earth Observation ◽  
Forest Monitoring ◽  
Biomass Estimation ◽  
Geospatial Information ◽  
Significant Opportunity ◽  
Support Decision Making

AbstractThe innovative transformation in geospatial information technology (GIT) and Earth observation (EO) data provides a significant opportunity to study the Earth’s environment and enables an advanced understanding of natural and anthropogenic impacts on ecosystems at the local, regional, and global levels (Thapa et al. in Carbon Balance Manag 10(23):1–13, 2015; Flores et al. in SAR handbook: comprehensive methodologies for forest monitoring and biomass estimation. NASA Publication, 2019; Leibrand et al. in Front Environ Sci 7:123, 2019; Chap. 10.1007/978-3-030-73569-2_1). The major advantages of these technologies can be briefly categorized into five broad areas: multidisciplinary; innovative and emerging; providing platforms for analysis, modelling, and visualization; capability to support decision-making; and impact on policies.

scholarly journals The Critical Relationship between Climate Change Awareness and Action: An Origin-Based Perspective

2020 ◽  
Author(s):  
Tina Tiller ◽  
Christian Schott
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
New Zealand ◽  
Human Activity ◽  
General Public ◽  
Climate Changes ◽  
Ghg Emissions ◽  
Mail Survey ◽  
Overwhelming Majority

<p>While it is now widely accepted by scientists and governments that human activity contributes to climate change, there is a lack of understanding whether this realisation is now gaining greater attraction with the general public than it had 5 or 10 years ago. Additional gaps in knowledge relate to the link between awareness and action, which could be hypothesised to have become stronger in light of evidence being produced of some projected climate changes occurring already. This article examines climate change awareness and the link with travel-related decision-making by adopting an under-utilised origin perspective in Wellington, New Zealand. The findings, generated by a household mail survey, indicate that the majority of the respondents are aware of tourism’s contribution to climate change and think that it is likely that their lives in New Zealand will be negatively affected by climate change. However, when examining the respondents’ recent holiday decision-making, it is evident that for the overwhelming majority, climate change awareness does not appear to influence travel-related decisions. This article concludes by discussing demand-focused measures aimed at reducing the GHG emissions generated by tourism.</p>

scholarly journals Land subsidence modelling for decision making on groundwater abstraction under emergency situation

2020 ◽  
Vol 382 ◽  
pp. 403-408
Author(s):  
Masaatsu Aichi
Keyword(s):  
Decision Making ◽  
Monte Carlo ◽  
Uncertainty Analysis ◽  
Real Time ◽  
Land Subsidence ◽  
Null Space ◽  
Emergency Situation ◽  
Computational Time ◽  
Groundwater Abstraction ◽  
Emergency Situations

Abstract. This study presents an inversion scheme with uncertainty analysis for a land subsidence modelling by a Monte Carlo filter in order to contribute to the decision-making on the groundwater abstraction. For real time prediction and uncertainty analysis under the limited computational resources and available information in emergency situations, one dimensional vertical land subsidence simulation was adopted for the forward modelling and the null-space Monte Carlo method was applied for the effective resampling. The proposed scheme was tested with the existing land subsidence monitoring data in Tokyo lowland, Japan. The results demonstrated that the prediction uncertainty converges and the prediction accuracy improves as the observed data increased with time. The computational time was also confirmed to be acceptable range for a real time execution with a laptop.

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