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Application of the Global Uncertainty and Sensitivity Analysis to assess the importance of deadwood characteristics for forest biodiversity
Data acquisition for sustainable forest management has focused on obtaining high quality information to estimate biomass. Improving the quality of...
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Identifying uncertainty in the global warming impacts of biomaterials: an analysis of biosuccinic acid
PurposeLife cycle assessments of biosuccinic acid (bioSA) report a range of emissions compared to their fossil-based counterparts. Such uncertainty...
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Assessing the impact of trade policy uncertainty on pollution emissions: an analysis of Chinese firms’ green transformation
Oscillations in the global trade milieu have exacerbated the ambiguity experienced by Chinese enterprises, thereby influencing their ecological...
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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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Human health risk assessment and uncertainty analysis of silver nanoparticles in water
Despite frequent detection in environmental waters, literature which quantifies the health risk of silver nanoparticles (Ag NPs) through oral...
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Bootstrapped ensemble and reliability ensemble averaging approaches for integrated uncertainty analysis of streamflow projections
Uncertainty sources in climate change impact studies can be addressed in two distinct phases, climate modelling and impact assessment. Generally,...
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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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Wetland functional assessment and uncertainty analysis using fuzzy α-cut–based modified hydrogeomorphic approach
Wetlands are significant ecosystems which perform several functions such as ground water recharge, flood control, carbon sequestration, and pollution...
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Uncertainty analysis for streamflow modeling using multiple optimization algorithms at a data-scarce semi-arid region: Altınapa Reservoir Watershed, Turkey
The calibration of ecohydrological models is challenging in semi-arid regions, particularly for data-scarce conditions. Precise uncertainty analysis...
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Addressing uncertainty in Participatory Integrated Assessment: qualitative modeling approach for risk estimation
Participatory Integrated Assessment (PIA) has become a vital tool for decision-making for sustainable development, but it faces significant...
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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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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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Understanding how climate preferences, environmental policy stringency, and energy policy uncertainty shape renewable energy investments in Germany
AbstractGermany, as one of the largest carbon emitters in the world, faces a crucial challenge in meeting SDG 7, which underscores the importance of...
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Navigating the interconnected risks in currency valuation: unveiling the role of climate policy uncertainty
Given the significance of fostering sustainable climate conditions for long-term economic stability and financial resilience, this study probes the...
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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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Uncertainty and sensitivity analysis of deep learning models for diurnal temperature range (DTR) forecasting over five Indian cities
In this article, the maximum and minimum daily temperature data for Indian cities were tested, together with the predicted diurnal temperature range...
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Risk analysis framework for the optimum remediation of a contaminated aquifer under uncertainty: application in Lake Karla aquifer, Thessaly, Greece
A risk analysis framework is proposed for the optimum remediation of a contaminated aquifer under hydrogeological uncertainty. The limited...
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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...
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Incorporating uncertainty in Indigenous sea Country monitoring with Bayesian statistics: Towards more informed decision-making
Partnerships in marine monitoring combining Traditional Ecological Knowledge and western science are developing globally to improve our understanding...
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The essential role of climate policy uncertainty in carbon emissions: a fresh insight
This study assesses the influence of climate policy uncertainty (CPU) on carbon emissions (CE) against the backdrop of economic policy uncertainty...
