Based on radar penetrating measurements and analysis of sea ice in the Arctic Ocean, the potential of radar wave to measure sea ice thickness and map the morphology of the under-side of sea ice is investigated. The re...Based on radar penetrating measurements and analysis of sea ice in the Arctic Ocean, the potential of radar wave to measure sea ice thickness and map the morphology of the under-side of sea ice is investigated. The results indicate that the radar wave can penetrate Arctic sum-mer sea ice of over 6 m in thickness; and the propagation velocity of the radar wave in sea ice is in the range of 0.142 m·ns-1 to 0.154 m·ns-1. The radar images display the roughness and mi-cro-relief variation of sea ice bottom surface. These features are closely related to sea ice types, which show that radar survey may be used to identify and classify ice types. Since radar images can simultaneously display the linear profile features of both the upper surface and the underside of sea ice, we use these images to quantify their actual linear length discrepancy. A new length factor is suggested in relation to the actual linear length discrepancy in linear profiles of sea ice, which may be useful in the further study of the area difference between the upper surface and bottom surface of sea ice.展开更多
Based on radar penetrating measurements and analysis of sea ice in the Arctic Ocean, The potential of radar wave to measure sea ice thickness and map the morphology of the underside of sea ice is investigated. The res...Based on radar penetrating measurements and analysis of sea ice in the Arctic Ocean, The potential of radar wave to measure sea ice thickness and map the morphology of the underside of sea ice is investigated. The results indicate that the radar wave can penetrate Arctic summer sea ice of over 6 meters thick; and the propagation velocity of the radar wave in sea ice is in the range of 0.142 m·ns -1 to 0.154 m·ns -1 . The radar images display the roughness and micro-relief variation of sea ice bottom surface. These features are closely related to sea ice types, which show that radar survey may be used to identify and classify ice types. Since radar images can simultaneously display the linear profile features of both the upper surface and the underside of sea ice, we use these images to quantify their actual linear length discrepancy. A new length factor is suggested in relation to the actual linear length discrepancy in linear profiles of sea ice, which may be useful in further study of the area difference between the upper surface and bottom surface of sea ice.展开更多
Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the We...Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the Weddell Sea was classified from scatterometer data by the histogram threshold method and the Spreen model method, and evaluated and validated with the Antarctic Sea Ice Processes and Climate(ASPeCt) sea ice type ship-based observations. The results show that the two methods can both distinguish multi-year(MY) ice and first-year(FY) ice during the ice growth season, and that the histogram threshold method has a relatively larger MY ice classification extent than the Spreen model. The classification accuracy of the histogram threshold method is 77.8%, while the Spreen model method accuracy is 80.3% compared with the ship-based observations, thus indicating that the Spreen model method is better for discriminating MY ice from FY ice from scatterometer data. These results provide a basis and reference for further retrieval of long-time sea ice type information for the whole Antarctica.展开更多
冰载荷是海上风机在寒区安全运行的重要影响因素之一,由其引发的冰激振动给风机结构带来了严重的危害.本文通过离散元(discrete element method, DEM)--有限元(finite element method, FEM)耦合方法建立了寒区单桩式风机结构的冰激振动...冰载荷是海上风机在寒区安全运行的重要影响因素之一,由其引发的冰激振动给风机结构带来了严重的危害.本文通过离散元(discrete element method, DEM)--有限元(finite element method, FEM)耦合方法建立了寒区单桩式风机结构的冰激振动模型.采用具有粘结-破碎性能的球体离散单元描述平整海冰损伤破坏行为,采用梁单元和三角形平板壳单元构造带有抗冰锥体的单桩式风机有限元模型.采用DEM-FEM耦合方法模拟不同冰速、冰厚条件下单桩式风机与平整冰相互作用过程,并且与IEC规范和ISO标准经验公式对比验证该耦合模型计算冰载荷的准确性.对比风机塔筒顶端和基础顶端的位移和加速度响应时程,定性地给出风机结构不同部位振动响应行为差异性.风机不同部位动力特性差异原因为风机结构独特结构特点:下部为大刚度桩基和上部为高柔度塔筒,使其动力特征表现为主从式结构特性."主-从式结构"特征使得结构在复杂的冰载荷作用下,风机塔筒(子结构)和桩基(主结构)表现为不同的响应行为,风机不同部位振动周期和加速度谱两者出现差异.本文研究成果为海上风机抗冰设计和疲劳分析提供了有益参考.展开更多
基金the National Natural Science Foundation of China(Grant No.40071022)the Ministry of Science and Technology of China(Grant No.2001DIA50040)+1 种基金Chinese Arctic Expedition Foundation and the Laboratory Foundation of Ice Core and Cold Region Environment,Cold and Arid Regions Environmental and Engineering Institutethe ChineseAcademy of Sciences(Grant No.BX2001-04).
文摘Based on radar penetrating measurements and analysis of sea ice in the Arctic Ocean, the potential of radar wave to measure sea ice thickness and map the morphology of the under-side of sea ice is investigated. The results indicate that the radar wave can penetrate Arctic sum-mer sea ice of over 6 m in thickness; and the propagation velocity of the radar wave in sea ice is in the range of 0.142 m·ns-1 to 0.154 m·ns-1. The radar images display the roughness and mi-cro-relief variation of sea ice bottom surface. These features are closely related to sea ice types, which show that radar survey may be used to identify and classify ice types. Since radar images can simultaneously display the linear profile features of both the upper surface and the underside of sea ice, we use these images to quantify their actual linear length discrepancy. A new length factor is suggested in relation to the actual linear length discrepancy in linear profiles of sea ice, which may be useful in the further study of the area difference between the upper surface and bottom surface of sea ice.
基金This work was supported by the National Natural Science Foundation of China(No.4007 1022,40231013)the Ministry of Science and technology,the People's Republic of China(No.2001DIA50040)Chinese Arctic expedition foundation and Laboratory foundation of Ice Core and Cold Region Environment,Cold and Arid Regions Environmental and Engineering Institute,Chinese Academy of Sciences(No.BX2001-04).
文摘Based on radar penetrating measurements and analysis of sea ice in the Arctic Ocean, The potential of radar wave to measure sea ice thickness and map the morphology of the underside of sea ice is investigated. The results indicate that the radar wave can penetrate Arctic summer sea ice of over 6 meters thick; and the propagation velocity of the radar wave in sea ice is in the range of 0.142 m·ns -1 to 0.154 m·ns -1 . The radar images display the roughness and micro-relief variation of sea ice bottom surface. These features are closely related to sea ice types, which show that radar survey may be used to identify and classify ice types. Since radar images can simultaneously display the linear profile features of both the upper surface and the underside of sea ice, we use these images to quantify their actual linear length discrepancy. A new length factor is suggested in relation to the actual linear length discrepancy in linear profiles of sea ice, which may be useful in further study of the area difference between the upper surface and bottom surface of sea ice.
基金the supports from the National Natural Science Foundation of China (Grant nos. 41606215 and 41576188)the National Key Research and Development Program of China (Grant no. 2017YFA0603104)+3 种基金the fund of SOA Key Laboratory for Polar Science (Grant no. PS1502)the fund of Key Laboratory of Global Change and Marine-Atmospheric Chemistry, SOA (Grant no. GCMAC1504)the Fundamental Research Funds for the Central Universities (Grant no. 2042016kf0038)the Chinese Postdoctoral Science Foundation Funded Project (Grant no. 2016M602342)
文摘Sea ice type is an important factor for accurately calculating sea ice parameters such as sea ice concentration, sea ice area and sea ice thickness using satellite remote sensing data. In this study, sea ice in the Weddell Sea was classified from scatterometer data by the histogram threshold method and the Spreen model method, and evaluated and validated with the Antarctic Sea Ice Processes and Climate(ASPeCt) sea ice type ship-based observations. The results show that the two methods can both distinguish multi-year(MY) ice and first-year(FY) ice during the ice growth season, and that the histogram threshold method has a relatively larger MY ice classification extent than the Spreen model. The classification accuracy of the histogram threshold method is 77.8%, while the Spreen model method accuracy is 80.3% compared with the ship-based observations, thus indicating that the Spreen model method is better for discriminating MY ice from FY ice from scatterometer data. These results provide a basis and reference for further retrieval of long-time sea ice type information for the whole Antarctica.
文摘冰载荷是海上风机在寒区安全运行的重要影响因素之一,由其引发的冰激振动给风机结构带来了严重的危害.本文通过离散元(discrete element method, DEM)--有限元(finite element method, FEM)耦合方法建立了寒区单桩式风机结构的冰激振动模型.采用具有粘结-破碎性能的球体离散单元描述平整海冰损伤破坏行为,采用梁单元和三角形平板壳单元构造带有抗冰锥体的单桩式风机有限元模型.采用DEM-FEM耦合方法模拟不同冰速、冰厚条件下单桩式风机与平整冰相互作用过程,并且与IEC规范和ISO标准经验公式对比验证该耦合模型计算冰载荷的准确性.对比风机塔筒顶端和基础顶端的位移和加速度响应时程,定性地给出风机结构不同部位振动响应行为差异性.风机不同部位动力特性差异原因为风机结构独特结构特点:下部为大刚度桩基和上部为高柔度塔筒,使其动力特征表现为主从式结构特性."主-从式结构"特征使得结构在复杂的冰载荷作用下,风机塔筒(子结构)和桩基(主结构)表现为不同的响应行为,风机不同部位振动周期和加速度谱两者出现差异.本文研究成果为海上风机抗冰设计和疲劳分析提供了有益参考.
