To assess the influence of the initial temperature field on ocean temperature and sea ice simulations,a climatological dataset(WOA18),a real-time varying dataset(SODA),and an analysis field obtained after applying the...To assess the influence of the initial temperature field on ocean temperature and sea ice simulations,a climatological dataset(WOA18),a real-time varying dataset(SODA),and an analysis field obtained after applying the“vertical projection”assimilation scheme were selected to obtain the initial temperature field(the initial moment was December 1,2015)for use in the sea ice simulation of the HAMSOM ice-ocean coupled model,considering the Bohai Sea in the 2015/2016 winter.In this study,after using this assimilation scheme,the analysis initial temperature field showed significant improvement.The simulated SST results showed that the initial temperature field had a considerable effect on the SST results in the first 45 days of the model run;after this period,the effect became negligible and the model internal dynamics and atmospheric forcing became dominant.The simulated sea ice results showed that the ice area and ice edge distance(i.e.,the distance between the intersection of the central axis and the ice edge line and axis apex)results obtained in experiment E3 which used the analysis initial temperature field were improved by~14%and~35%,respectively,and those obtained in experiment E2 which used the real-time varying initial temperature field were improved by~10%and~22%,respectively,compared to the results of experiment E1 which used the climatological initial temperature field.展开更多
With the rapid development of the city, it is necessar</span><span style="font-family:Verdana;">y to obtain geological information within 500 meters. Electrical prospecting is not only low cost a...With the rapid development of the city, it is necessar</span><span style="font-family:Verdana;">y to obtain geological information within 500 meters. Electrical prospecting is not only low cost and simple operation, but also solves the problem of insufficient drilling density in </span><span style="font-family:Verdana;">a </span><span style="font-family:Verdana;">survey</span><span style="font-family:Verdana;">. However, due to the dense urban buildings and strong electromagnetic interference, it is difficult for traditional electrical instruments to obtain effective data</span><span style="font-family:Verdana;">.</span><span style="font-family:""> </span><span style="font-family:Verdana;">An </span><span style="font-family:Verdana;">anti-interference electrical method instrument is designed.</span><span style="font-family:""> </span><span style="font-family:""><span style="font-family:Verdana;">In the application test of Tongzhou</span><span style="color:black;font-family:Verdana;"> core area in Beijing, the resistivity sounding data collected by </span></span><span style="font-family:"color:black;"><span style="font-family:Verdana;">anti-interference</span><span style="font-family:Verdana;"> electrical method </span><span style="font-family:Verdana;">instrument</span><span style="font-family:Verdana;"> is stable and reliable;inversion results of sounding are basically consistent with borehole data;</span><span style="font-family:Verdana;">the known Zhangjiawan fault and Yaoxinzhuang fault are obvious;basement karst collapse area inferred is basically coincident with the historical collapse area. It is proved that the anti-interference electrical </span><span style="font-family:Verdana;">method</span><span style="font-family:Verdana;"> instrument is effective and can be applied to the geological survey of underground space in other cities.展开更多
Vehicle recognition system (VRS) plays a very important role in the field of intelligent transportation systems.A novel and intuitive method is proposed for vehicle location.The method we provide for vehicle location ...Vehicle recognition system (VRS) plays a very important role in the field of intelligent transportation systems.A novel and intuitive method is proposed for vehicle location.The method we provide for vehicle location is based on human visual perception model technique. The perception color space HSI in this algorithm is adopted.Three color components of a color image and more potential edge patterns are integrated for solving the feature extraction problem.A fast and automatic threshold technique based on human visual perception model is also developed.The vertical edge projection and horizontal edge projection are adopted for locating left-right boundary of vehicle and top-bottom boundary of vehicle, respectively. Very promising experimental results are obtained using real-time vehicle image sequences, which have confirmed that this proposed location vehicle method is efficient and reliable, and its calculation speed meets the needs of the VRS.展开更多
基金This research was jointly sponsored by the National Key R&D Program of China(2019YFC 1407800)National Natural Science Foundation of China(No.42006154).
文摘To assess the influence of the initial temperature field on ocean temperature and sea ice simulations,a climatological dataset(WOA18),a real-time varying dataset(SODA),and an analysis field obtained after applying the“vertical projection”assimilation scheme were selected to obtain the initial temperature field(the initial moment was December 1,2015)for use in the sea ice simulation of the HAMSOM ice-ocean coupled model,considering the Bohai Sea in the 2015/2016 winter.In this study,after using this assimilation scheme,the analysis initial temperature field showed significant improvement.The simulated SST results showed that the initial temperature field had a considerable effect on the SST results in the first 45 days of the model run;after this period,the effect became negligible and the model internal dynamics and atmospheric forcing became dominant.The simulated sea ice results showed that the ice area and ice edge distance(i.e.,the distance between the intersection of the central axis and the ice edge line and axis apex)results obtained in experiment E3 which used the analysis initial temperature field were improved by~14%and~35%,respectively,and those obtained in experiment E2 which used the real-time varying initial temperature field were improved by~10%and~22%,respectively,compared to the results of experiment E1 which used the climatological initial temperature field.
文摘With the rapid development of the city, it is necessar</span><span style="font-family:Verdana;">y to obtain geological information within 500 meters. Electrical prospecting is not only low cost and simple operation, but also solves the problem of insufficient drilling density in </span><span style="font-family:Verdana;">a </span><span style="font-family:Verdana;">survey</span><span style="font-family:Verdana;">. However, due to the dense urban buildings and strong electromagnetic interference, it is difficult for traditional electrical instruments to obtain effective data</span><span style="font-family:Verdana;">.</span><span style="font-family:""> </span><span style="font-family:Verdana;">An </span><span style="font-family:Verdana;">anti-interference electrical method instrument is designed.</span><span style="font-family:""> </span><span style="font-family:""><span style="font-family:Verdana;">In the application test of Tongzhou</span><span style="color:black;font-family:Verdana;"> core area in Beijing, the resistivity sounding data collected by </span></span><span style="font-family:"color:black;"><span style="font-family:Verdana;">anti-interference</span><span style="font-family:Verdana;"> electrical method </span><span style="font-family:Verdana;">instrument</span><span style="font-family:Verdana;"> is stable and reliable;inversion results of sounding are basically consistent with borehole data;</span><span style="font-family:Verdana;">the known Zhangjiawan fault and Yaoxinzhuang fault are obvious;basement karst collapse area inferred is basically coincident with the historical collapse area. It is proved that the anti-interference electrical </span><span style="font-family:Verdana;">method</span><span style="font-family:Verdana;"> instrument is effective and can be applied to the geological survey of underground space in other cities.
文摘Vehicle recognition system (VRS) plays a very important role in the field of intelligent transportation systems.A novel and intuitive method is proposed for vehicle location.The method we provide for vehicle location is based on human visual perception model technique. The perception color space HSI in this algorithm is adopted.Three color components of a color image and more potential edge patterns are integrated for solving the feature extraction problem.A fast and automatic threshold technique based on human visual perception model is also developed.The vertical edge projection and horizontal edge projection are adopted for locating left-right boundary of vehicle and top-bottom boundary of vehicle, respectively. Very promising experimental results are obtained using real-time vehicle image sequences, which have confirmed that this proposed location vehicle method is efficient and reliable, and its calculation speed meets the needs of the VRS.