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Proposal of a multi-expert multi-criteria model for the sustainability assessment of industrial systems under uncertainty
Incorporating sustainability into industries is crucial to achieving sustainable development of industrial systems. However, identifying the most...
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Multi-GCM ensemble model for reduction of uncertainty in runoff projections
Formulation of sustainable development plans in the water sector requires reliable estimates of future hydrological conditions. The general...
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Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming
Climate change is expected to impact crop yields and alter resource availability. However, the understanding of the potential of agricultural...
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Developing an uncertainty-based auto-calibrated reservoir eutrophication model: a case study of Karkheh Dam, Iran
As crucial as it is to monitor the water quality in the reservoirs, constant measurement of different water quality indices can become a serious...
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Optimal design of groundwater pollution monitoring network based on a back-propagation neural network surrogate model and grey wolf optimizer algorithm under uncertainty
In the optimal design of groundwater pollution monitoring network (GPMN), the uncertainty of the simulation model always affects the reliability of...
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A hybrid mathematical model for estimation of runoff uncertainty influenced by climate drivers
Quantifying the runoff uncertainty influenced by the climate drivers is essential for water resources management. Runoff in the Tarim River Basin...
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Uncertainty reduction in flood areas by probabilistic analyses of land use/cover in models of two-dimensional hydrodynamic model of dam-break
The estimation of the flood area inaccuracies by the propagation of Manning’s coefficient uncertainty is crucial for safety plans of dam-breaks....
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An integrated scenario-based multi-period multi-objective mathematical model for a sustainable biomass supply chain network considering social factors and disruption risk under uncertainty
While numerous papers have explored Biomass Supply Chain Network Design (BSCND), a significant gap persists in the literature regarding models that...
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Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP)
BackgroundLarge uncertainty in modeling land carbon (C) uptake heavily impedes the accurate prediction of the global C budget. Identifying the...
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Uncertainty in Environmental Micropollutant Modeling
Water pollution policies have been enacted across the globe to minimize the environmental risks posed by micropollutants (MPs). For regulative...
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EIA and Uncertainty Management
This chapter looks at the topics of environmental impact assessment (EIA) and handling uncertainty. Key aspects of an EIA are explained including...
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Assessing uncertainty in airborne birch pollen modelling
In Europe, more than one quarter of the adult population and one third of the children suffer from pollinosis, but the geographical variability is...
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Uncertainty analysis in probabilistic design of detention rockfill dams using Monte-Carlo simulation model and probabilistic frequency analysis of stability factors
The detention rockfill dams are of promising importance in flood control projects, due to their minimal technical requirement, low cost, minimal...
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Model-wise uncertainty decomposition in multi-model ensemble hydrological projections
There has been a growing interest in model-wise uncertainty decomposition, which quantifies contribution of individual models such as emission...
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Uncertainty analysis of greenhouse gas emissions of monorail transit during the construction
This paper examines the uncertainty of greenhouse gas (GHG) emissions during monorail construction. Firstly, a deterministic analysis is conducted....
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Uncertainty, Risk and Decisions
This chapter discusses the notions of uncertainty and risk in relation to decision-making, with an emphasis on their implications for life cycle...
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Frequency spillover effects between natural gas market, uncertainty, and stock market: new evidence from China
This study investigates the correlation between the natural gas market, uncertainty, and the stock market in China. The research uses the BK model...
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Assessment for the response and uncertainty of energy poverty to climate extremes in China
With increasing energy demand, energy poverty (EP) caused by climate extremes is becoming a significant concern in China, which has great differences...
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Stratospheric impact on subseasonal forecast uncertainty in the northern extratropics
Extreme states of the polar stratospheric circulation during winter tend to be followed by anomalies in the near-surface circulation for several...
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Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive...
