可控源音频大地电磁测深法在青藏高原煤田地质勘探中的应用

青藏高原构造复杂,岩层、煤层倾角较陡,过去物探方法找煤效果不够理想。近几年在鱼卡煤田云雾山地区、小红山地区、羊水河地区、天峻苏里地区及海北门源盆地等地利用可控源音频大地电磁测深（CSAMT）进行勘探,有效解决了高原冻土带高阻屏蔽层下第四系厚度、含煤岩系侏罗系基底深度、构造及基底起伏形态等地质问题。为钻探的布设提供了物探依据。     

Affinity between Palaeozoic Blocks of Xinjiang and Their Suturing Ages

The Kazakhstanian plate was near the Tarim, Sino-Korean and South China-Southeast Asian plates in the Middle-Late Cambrian and Late Ordovician, and approached the Siberian plate in the other periods of the Early Palaeozoic. The Hi and Toksun-Yamansu terranes had been split from the Tarim plate before the Middle Devonian and then went close to Angaraland in the late Early Permian. The Beishan area on the northeastern margin of the Tarim plate came close to Angaraland first in the early Early Permian. The suturing age between the Tarim and Ka-zakhstanian-Siberian plates is generally the same as that between the Turkey-Central Iran-Gangdise and South China-Southeast Asian plates. The suturing event took place in the early Early Permian, while the corresponding tectogeny occurred between the Early and Late Permian.     

Remote sensing classification approach to large-scale crop cultivation identification: A case study of the Aral Sea Basin

Since the collapse of the Soviet Union, the crop cultivation structure in the Aral Sea Basin has changed dramatically, and these changes are worth studying. However, historical crop remote sensing mapping at the watershed scale remains challenging, especially crop misclassification at the cropland edge due to mixed pixels. Therefore, we proposed a field segmentation approach to constrain field edges based on time-series Sentinel-2 remote sensing images and the Google Earth Engine platform and then employed the random forest algorithm to perform crop classification based on time series Landsat/Sentinel-2 images and crop phenology information to produce historical crop maps in the Aral Sea Basin from the 1990s onward. The results showed that the intersection over union between the extracted field edges and in situ-measured field size data was 0.65. The overall accuracy of crop mapping was 95.2% in 2019. Then, we extended our method to historical mapping over the 1991–2015 period with accuracies ranging from 82.8% to 91.3%. Moreover, our method applied to historical mapping works well in terms of accuracy and policy matching. These findings indicate that our method can accurately distinguish cropland edges to reduce classification errors due to mixed pixels. This method is promising for solving the cropland edge problem for historical crop mapping in the Aral Sea Basin and can potentially provide a reference for historical crop classification in other watersheds of the world.     

深海上浮平台线型设计及水动力特性预报

深海上浮平台是水下装备技术朝信息化、智能化方向发展的未来趋势,对根本扭转我海上战略安全形势、在深远海有效拒止强敌具有重大意义.针对深海上浮平台长期服役、水下快速上浮、大深度耐压密封等特点,提出了一种基于回转体外形的大型航行器外形设计及水动力特性预报,着重解决平台在无动力上浮时的低阻性要求,经过理论估算和CFD软件仿真验...