Riverine flood event situation awareness and emergency management decision support systems require accurate and scalable geoanalytic data at the local level. This paper introduces the Water-flow Visualization Enhancem...Riverine flood event situation awareness and emergency management decision support systems require accurate and scalable geoanalytic data at the local level. This paper introduces the Water-flow Visualization Enhancement (WaVE), a new framework and toolset that integrates enhanced geospatial analytics visualization (common operating picture) and decision support modular tools. WaVE enables users to: 1) dynamically generate on-the-fly, highly granular and interactive geovisual real-time and predictive flood maps that can be scaled down to show discharge, inundation, water velocity, and ancillary geomorphology and hydrology data from the national level to regional and local level;2) integrate data and model analysis results from multiple sources;3) utilize machine learning correlation indexing to interpolate streamflow proxy estimates for non-functioning streamgages and extrapolate discharge estimates for ungaged streams;and 4) have time-scaled drill-down visualization of real-time and forecasted flood events. Four case studies were conducted to test and validate WaVE under diverse conditions at national, regional and local levels. Results from these case studies highlight some of WaVE’s inherent strengths, limitations, and the need for further development. WaVE has the potential for being utilized on a wider basis at the local level as data become available and models are validated for converting satellite images and data records from remote sensing technologies into accurate streamflow estimates and higher resolution digital elevation models.展开更多
Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events.An International Mobile Subscriber Identity(IMSI)catcher was proposed as a nontraditional method f...Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events.An International Mobile Subscriber Identity(IMSI)catcher was proposed as a nontraditional method for cell phone-based people localization.We verified the idea of using a cell phone as a sensor and tested the possibility of transmitting cell phone data through the Open Geospatial Consortium(OGC)Sensor Web Enablement.Four large field tests were performed and are described in detail.The main conclusions for IMSI catcher deployment were search within a limited radius from its placement and the number of localized people was not a limiting aspect;although the technology for advanced cell phone-based localization is available for crisis/emergency management applications,we do not yet have sufficient ability to handle this technology.展开更多
This paper presents a multi-HVDC emergency coordinated modulating strategy to enhance the transient stability of hybrid AC/DC power systems.First,the main factors that affect the unbalanced energy distribution during ...This paper presents a multi-HVDC emergency coordinated modulating strategy to enhance the transient stability of hybrid AC/DC power systems.First,the main factors that affect the unbalanced energy distribution during a fault are analyzed,and the dominant generators are determined online.Next,considering the influence on both generators in the sending and receiving ends,the assessment index that evaluates the effects of DC power support is established.On the basis of this,a dynamic DC power support strategy is put forward,and the DC support sequence table is promptly updated by the changing dominant generators.The AC/DC hybrid power system with multi-DC lines is built and used as a test system.The simulation results of different scenarios demonstrate that the proposed method could follow the dominant generator dynamically and adjust the DC participating in modulation to enhance the transient stability effectively and quickly.展开更多
文摘Riverine flood event situation awareness and emergency management decision support systems require accurate and scalable geoanalytic data at the local level. This paper introduces the Water-flow Visualization Enhancement (WaVE), a new framework and toolset that integrates enhanced geospatial analytics visualization (common operating picture) and decision support modular tools. WaVE enables users to: 1) dynamically generate on-the-fly, highly granular and interactive geovisual real-time and predictive flood maps that can be scaled down to show discharge, inundation, water velocity, and ancillary geomorphology and hydrology data from the national level to regional and local level;2) integrate data and model analysis results from multiple sources;3) utilize machine learning correlation indexing to interpolate streamflow proxy estimates for non-functioning streamgages and extrapolate discharge estimates for ungaged streams;and 4) have time-scaled drill-down visualization of real-time and forecasted flood events. Four case studies were conducted to test and validate WaVE under diverse conditions at national, regional and local levels. Results from these case studies highlight some of WaVE’s inherent strengths, limitations, and the need for further development. WaVE has the potential for being utilized on a wider basis at the local level as data become available and models are validated for converting satellite images and data records from remote sensing technologies into accurate streamflow estimates and higher resolution digital elevation models.
基金This research has been supported by funding from the EU FP7 Project No.217951,which is called‘Emergency Support System’and the project of Masaryk University under the grant agreement[No.MUNI/A/0902/2012]which is called‘Expression of Global Environmental Change in Component Earth’s Spheres’.
文摘Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events.An International Mobile Subscriber Identity(IMSI)catcher was proposed as a nontraditional method for cell phone-based people localization.We verified the idea of using a cell phone as a sensor and tested the possibility of transmitting cell phone data through the Open Geospatial Consortium(OGC)Sensor Web Enablement.Four large field tests were performed and are described in detail.The main conclusions for IMSI catcher deployment were search within a limited radius from its placement and the number of localized people was not a limiting aspect;although the technology for advanced cell phone-based localization is available for crisis/emergency management applications,we do not yet have sufficient ability to handle this technology.
基金This work was supported in part by the National Natural Science Foundation of China(51637005)the Science and Technology Project of SGCC(SGBJDK00KJJS1900088).
文摘This paper presents a multi-HVDC emergency coordinated modulating strategy to enhance the transient stability of hybrid AC/DC power systems.First,the main factors that affect the unbalanced energy distribution during a fault are analyzed,and the dominant generators are determined online.Next,considering the influence on both generators in the sending and receiving ends,the assessment index that evaluates the effects of DC power support is established.On the basis of this,a dynamic DC power support strategy is put forward,and the DC support sequence table is promptly updated by the changing dominant generators.The AC/DC hybrid power system with multi-DC lines is built and used as a test system.The simulation results of different scenarios demonstrate that the proposed method could follow the dominant generator dynamically and adjust the DC participating in modulation to enhance the transient stability effectively and quickly.
