Showing 1 - 6 of 6
This study presents a discriminant analysis-based method for prediction of agriculture drought disaster risk. We selected the Chaoyang city in the Northeast China as the study area. We employed multi-scale standard precipitation index (SPI) to reflect drought hazard. We used the yield losses to...
Persistent link: https://www.econbiz.de/10010996419
This study presents a methodology of risk early warning of maize drought disaster in Northwestern Liaoning Province from the viewpoints of climatology, geography, disaster science, environmental science, and so on. The study area was disaggregated into small grid cells, which has higher...
Persistent link: https://www.econbiz.de/10010846518
This study presents a methodology for risk analysis, assessment, combination, and regionalization of integrated drought and waterlogging disasters in Anhui Province, which is supported by geographical information systems (GIS) and technique of natural disaster risk assessment from the viewpoints...
Persistent link: https://www.econbiz.de/10010846844
This study presents the methodology and procedure for risk assessment of flood disasters in central Liaoning Province, which was supported by geographical information systems (GIS) and technology of natural disaster risk assessment. On the basis of the standard formulation of natural disaster...
Persistent link: https://www.econbiz.de/10010949723
Poyang Lake, directly connected with the Yangtze River, is one of the most frequently flooded areas in China. The frequent large floods have caused huge damages to the environment and economy and threatened the life of approximately 10 million people. Understanding the changing characteristics...
Persistent link: https://www.econbiz.de/10011241155
Over the last few decades, a lot of attention has been concentrated on the consequences of marine impacts, especially those caused by the tsunami wave train. Internal solitary waves are similar to the surface waves that commonly occur in the waters of the ocean or large lakes and can have...
Persistent link: https://www.econbiz.de/10010759028