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Environmental disasters are becoming more frequent. These disasters not only include the most common natural disasters, but also include man-made disasters, such as public health, accident disasters, etc., which have caused greater damage to human society and cities. Because of the limitations of a single government-led model in emergency response, the emergency preparedness of communities, families and individuals are more important. In particular, the emergency preparedness psychology and behavior of individuals directly determine whether or not they can effectively protect themselves and their families in the first time of disaster. This Special Issue focuses on environmental disasters and individuals’ emergency preparedness in the perspective of psychology and behavior.

social networks --- trust --- risk perception --- multiple disasters --- China --- volunteering --- disaster preparedness --- accidental life insurance --- training --- organizational identification --- pandemic --- public sentiment --- system dynamics --- cross-validation --- simulation and control --- place attachment --- self-efficacy --- disaster experience --- water resources carrying risk --- vulnerability of disaster-bearers --- hazard of disaster-causing factors --- coping behaviors --- psychological capital --- theory of planned behavior --- structural equation model --- MHO staff --- emergency preparedness behavior --- COVID-19 --- campus signal --- disaster awareness --- structural regression model

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Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.

Technology: general issues --- History of engineering & technology --- spatial downscaling --- MODIS chlorophyll-a --- sentinel-2A MSI --- multiple polynomial regression --- genetic programming --- rainfall variability --- Indian Ocean Dipole (IOD) --- El Niño–Southern Oscillation (ENSO) --- intentional statistical simulation --- satellite-based precipitation --- hydrological modeling --- error propagation --- monsoon-climate watershed --- typhoon-induced rainfall --- prediction --- statistical model --- fuzzy C-means clustering --- China --- remote sensing --- integrated drought monitoring --- meteorological drought --- hydrological drought --- agricultural drought --- Bayesian principal component analysis (BPCA) --- statistical simulation --- extreme precipitation index --- PERSIANN-CDR --- KGE --- linear trend --- Huai River Basin --- Indian Ocean Dipole mode --- El Niño–Southern Oscillation --- singular spectrum analysis --- mutual information --- non-stationarity of seasonal precipitation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.

Technology: general issues --- History of engineering & technology --- spatial downscaling --- MODIS chlorophyll-a --- sentinel-2A MSI --- multiple polynomial regression --- genetic programming --- rainfall variability --- Indian Ocean Dipole (IOD) --- El Niño–Southern Oscillation (ENSO) --- intentional statistical simulation --- satellite-based precipitation --- hydrological modeling --- error propagation --- monsoon-climate watershed --- typhoon-induced rainfall --- prediction --- statistical model --- fuzzy C-means clustering --- China --- remote sensing --- integrated drought monitoring --- meteorological drought --- hydrological drought --- agricultural drought --- Bayesian principal component analysis (BPCA) --- statistical simulation --- extreme precipitation index --- PERSIANN-CDR --- KGE --- linear trend --- Huai River Basin --- Indian Ocean Dipole mode --- El Niño–Southern Oscillation --- singular spectrum analysis --- mutual information --- non-stationarity of seasonal precipitation --- spatial downscaling --- MODIS chlorophyll-a --- sentinel-2A MSI --- multiple polynomial regression --- genetic programming --- rainfall variability --- Indian Ocean Dipole (IOD) --- El Niño–Southern Oscillation (ENSO) --- intentional statistical simulation --- satellite-based precipitation --- hydrological modeling --- error propagation --- monsoon-climate watershed --- typhoon-induced rainfall --- prediction --- statistical model --- fuzzy C-means clustering --- China --- remote sensing --- integrated drought monitoring --- meteorological drought --- hydrological drought --- agricultural drought --- Bayesian principal component analysis (BPCA) --- statistical simulation --- extreme precipitation index --- PERSIANN-CDR --- KGE --- linear trend --- Huai River Basin --- Indian Ocean Dipole mode --- El Niño–Southern Oscillation --- singular spectrum analysis --- mutual information --- non-stationarity of seasonal precipitation