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 …
[HTML][HTML] Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions
Natural hazard risk is largely projected to increase in the future, placing growing
responsibility on decision makers to proactively reduce risk. Consequently, decision support …
responsibility on decision makers to proactively reduce risk. Consequently, decision support …
Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach
Metro system is a vital component of mass transportation infrastructure, providing crucial
social and economic service in urban area. Flood events may cause functional disruptions to …
social and economic service in urban area. Flood events may cause functional disruptions to …
Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis
The coastal region of Bangladesh is highly vulnerable due to its low adaptive capacity,
dense population, flat topography and exposure to various natural disasters such as …
dense population, flat topography and exposure to various natural disasters such as …
Coupling the water-energy-food-ecology nexus into a Bayesian network for water resources analysis and management in the Syr Darya River basin
The widespread uncertainty regarding future changes in climate, socioeconomic conditions,
and population growth have increased interest in water-energy-food-ecology nexus-based …
and population growth have increased interest in water-energy-food-ecology nexus-based …
Resilience in water infrastructures: a review of challenges and adoption strategies
An increase in the number and strength of natural catastrophes experienced over the past
few decades has accelerated the damage sustained by infrastructures. Drinking water and …
few decades has accelerated the damage sustained by infrastructures. Drinking water and …
Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia
Flooding hazard evaluation is the basis of flooding risk assessment which has significances
to natural environment, human life and social economy. This study develops a spatial …
to natural environment, human life and social economy. This study develops a spatial …
Intelligent monitor for typhoon in IoT system of smart city
Accidents often occur in the earth—typhoons, floods, earthquakes, traffic accidents and so
on. Whether these accidents can be timely and effectively responded to has been an …
on. Whether these accidents can be timely and effectively responded to has been an …
[HTML][HTML] A novel causal structure-based framework for comparing a basin-wide water–energy–food–ecology nexus applied to the data-limited Amu Darya and Syr …
H Shi, G Luo, H Zheng, C Chen… - Hydrology and Earth …, 2021 - hess.copernicus.org
The previous comparative studies on watersheds were mostly based on the comparison of
dispersive characteristics, which lacked systemicity and causality. We proposed a causal …
dispersive characteristics, which lacked systemicity and causality. We proposed a causal …
Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus
This study proposes a performance appraisal framework for agricultural water distribution
systems based on the Water-Food-Energy Nexus perspective. To analyze and evaluate …
systems based on the Water-Food-Energy Nexus perspective. To analyze and evaluate …