[Objective]The study aimed to analyze climatic characteristics and vulnerability of fog in Changzhou. [Method]Based on the data of fog from 2006 to 2012 observed at Longhutang observation station and disaster conditio...[Objective]The study aimed to analyze climatic characteristics and vulnerability of fog in Changzhou. [Method]Based on the data of fog from 2006 to 2012 observed at Longhutang observation station and disaster condition in Changzhou in recent years,fog distribution and vulnerability of Changzhou were analyzed. [Result]Most fog happened from November to February in 2006 and 2007,while less fog happened in 2010,and fog seldom occurred in summer. Average monthly fog days were from 0. 3 to 4. 0,and the maximum appeared in November. The average visibility was 382 m. Generally,the fog with long duration appeared in autumn and winter. The average duration of fog in 2010 was the shortest among these years,about 3 h,while the longest duration of fog was in 2008,up to 7 h. Fog mainly caused damage to traffic systems,human health and economy. Population density,GDP per capita,civil aviation landing flights and highway mileage density were selected to evaluate fog disaster vulnerability,and the results showed that Changzhou was the most vulnerable,followed by Jintan,then Liyang. [Conclusion]The research could provide scientific references for the reduction of losses caused by fog.展开更多
Taking hundreds of pieces of hazardous geological maps （1 ： 10 000） of Three Gorges res-ervoir area （3GR） as background, we establish regional three-dimensional （3D） geo-hazard modelusing DEM （digital elevatio...Taking hundreds of pieces of hazardous geological maps （1 ： 10 000） of Three Gorges res-ervoir area （3GR） as background, we establish regional three-dimensional （3D） geo-hazard modelusing DEM （digital elevation model） superposed surface images and geo-hazards elements. Based on landslides and other geo-hazard survey data,using improved B-REP（boundary representa-tion）entity data structure （two-body 3D data structure）, we set up 3D solid models for each hazardous bodies in each hazardous geological maps. Then we integrate the two types of 3D models with different scales from area to point, which are the regional geo-hazard 3D model and the solid models of each disaster body, in order to provide a visual processing and analysis plat-form for danger partition, stability evaluation, disaster prevention and control, early warning and command.展开更多
基金Supported by the Soft Science Project of Jiangsu Meteorological Bureau,China(201309)
文摘[Objective]The study aimed to analyze climatic characteristics and vulnerability of fog in Changzhou. [Method]Based on the data of fog from 2006 to 2012 observed at Longhutang observation station and disaster condition in Changzhou in recent years,fog distribution and vulnerability of Changzhou were analyzed. [Result]Most fog happened from November to February in 2006 and 2007,while less fog happened in 2010,and fog seldom occurred in summer. Average monthly fog days were from 0. 3 to 4. 0,and the maximum appeared in November. The average visibility was 382 m. Generally,the fog with long duration appeared in autumn and winter. The average duration of fog in 2010 was the shortest among these years,about 3 h,while the longest duration of fog was in 2008,up to 7 h. Fog mainly caused damage to traffic systems,human health and economy. Population density,GDP per capita,civil aviation landing flights and highway mileage density were selected to evaluate fog disaster vulnerability,and the results showed that Changzhou was the most vulnerable,followed by Jintan,then Liyang. [Conclusion]The research could provide scientific references for the reduction of losses caused by fog.
基金supported by the 3D Model Library of Geo-hazards in the 3GR (No. SXJC-3ZH1A7)the software development of 3D area disaster geology map in the 3GR (No. SXJC-3ZH1A6)+1 种基金survey data acquisition and geologic map CAD system in the 3GR (No. SXKY4-02)985 Platform Projects,3D modeling and space analysis system of geo-hazards and the National Natural Science Foundation of China (No. 41172300)
文摘Taking hundreds of pieces of hazardous geological maps （1 ： 10 000） of Three Gorges res-ervoir area （3GR） as background, we establish regional three-dimensional （3D） geo-hazard modelusing DEM （digital elevation model） superposed surface images and geo-hazards elements. Based on landslides and other geo-hazard survey data,using improved B-REP（boundary representa-tion）entity data structure （two-body 3D data structure）, we set up 3D solid models for each hazardous bodies in each hazardous geological maps. Then we integrate the two types of 3D models with different scales from area to point, which are the regional geo-hazard 3D model and the solid models of each disaster body, in order to provide a visual processing and analysis plat-form for danger partition, stability evaluation, disaster prevention and control, early warning and command.
