Choose an application

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

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.

Psychology --- 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

Choose an application

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

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

Choose an application

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

This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making, and policy making to achieve our goals of enhancing the resilience of human–environment systems to climate change and increased variability.

Research & information: general --- Meteorology & climatology --- flood risk --- urban flood forecasting and warning --- inland-river combined flood system --- LSTM --- artificial neural network --- neurons --- layers --- temperature --- South Korea --- deep learning --- reference evapotranspiration --- climate change --- drought --- meteorological extremes --- climatic variables --- wind speed --- extreme El Niño event --- tropical cyclone --- tropical cyclone-induced precipitation --- China --- Bayesian approach --- nonstationarity --- reanalysis products --- quantile delta mapping --- ranges of flood sizes --- specific flood distributions --- ungauged watersheds --- influence of rainfall characteristics --- depth-averaged temperature --- decision tree --- lifetime maximum intensity --- climate variability --- seasonality --- dengue fever --- vector --- rainfall --- Bangladesh --- copula function --- drought duration --- drought severity --- land-ocean temperature contrast/meridional temperature gradient --- standardized precipitation evapotranspiration index --- flood risk --- urban flood forecasting and warning --- inland-river combined flood system --- LSTM --- artificial neural network --- neurons --- layers --- temperature --- South Korea --- deep learning --- reference evapotranspiration --- climate change --- drought --- meteorological extremes --- climatic variables --- wind speed --- extreme El Niño event --- tropical cyclone --- tropical cyclone-induced precipitation --- China --- Bayesian approach --- nonstationarity --- reanalysis products --- quantile delta mapping --- ranges of flood sizes --- specific flood distributions --- ungauged watersheds --- influence of rainfall characteristics --- depth-averaged temperature --- decision tree --- lifetime maximum intensity --- climate variability --- seasonality --- dengue fever --- vector --- rainfall --- Bangladesh --- copula function --- drought duration --- drought severity --- land-ocean temperature contrast/meridional temperature gradient --- standardized precipitation evapotranspiration index

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

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