A compound event framework for understanding extreme impacts
Climate and weather variables such as rainfall, temperature, and pressure are indicators for
hazards such as tropical cyclones, floods, and fires. The impact of these events can be due …
hazards such as tropical cyclones, floods, and fires. The impact of these events can be due …
Multi-risk assessment in mountain regions: A review of modelling approaches for climate change adaptation
Climate change has already led to a wide range of impacts on our society, the economy and
the environment. According to future scenarios, mountain regions are highly vulnerable to …
the environment. According to future scenarios, mountain regions are highly vulnerable to …
[HTML][HTML] A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain
Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …
Climate change and its impact on the projected values of groundwater recharge: A review
Understanding the influence of climate change (CC) on groundwater recharge (GWR) is
fundamental for a better long-term planning and management of groundwater supply. To …
fundamental for a better long-term planning and management of groundwater supply. To …
Will the carbon neutrality target impact China's energy security? A dynamic Bayesian network model
Efforts to reach the target of carbon neutrality create uncertainty about future energy security
in China. This paper predicts the future state of energy security on the path to achieving …
in China. This paper predicts the future state of energy security on the path to achieving …
Applications of Bayesian belief networks in water resource management: A systematic review
Bayesian belief networks (BBNs) are probabilistic graphical models that can capture and
integrate both quantitative and qualitative data, thus accommodating data-limited conditions …
integrate both quantitative and qualitative data, thus accommodating data-limited conditions …
Research on scenario deduction and emergency decision-making evaluation for construction safety accidents
This study introduces an innovative “scenario-response” analysis framework for emergency
management in construction safety accidents. Leveraging Bayesian Network (BN) …
management in construction safety accidents. Leveraging Bayesian Network (BN) …
[HTML][HTML] Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran
Study region This study develops the first daily runoff forecast system for Bukan reservoir in
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …
Low-carbon economic multi-objective dispatch of integrated energy system considering the price fluctuation of natural gas and carbon emission accounting
M Qin, Y Yang, X Zhao, Q Xu… - Protection and Control of …, 2023 - ieeexplore.ieee.org
Natural gas is the main energy source and carbon emission source of integrated energy
systems (IES). In existing studies, the price of natural gas is generally fixed, and the impact …
systems (IES). In existing studies, the price of natural gas is generally fixed, and the impact …
Reviewing Bayesian Networks potentials for climate change impacts assessment and management: A multi-risk perspective
The evaluation and management of climate change impacts on natural and human systems
required the adoption of a multi-risk perspective in which the effect of multiple stressors …
required the adoption of a multi-risk perspective in which the effect of multiple stressors …