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21世纪重力与磁法勘探的展望 总被引:21,自引:18,他引:21
对21世纪重力与磁法勘探的仪器,数据处理技术,解释理论与方法,应用领域等方面的发展方向进行了分析与展望,发展航空标量,矢量,梯度重力测量和航空全梯度磁力测量,三分量磁力测量,提高综合信息采集能力;开展卫星重磁测量,综合卫星,航空,地面重磁测量资料研究地球结构与构造;发展高精度数据处理技术;重磁异常弱信号的提取,不同深度重磁异常的划分,低纬底变倾角化磁极以及位场面延拓;发展复杂条件下三维重磁场多参数综合反演可视化技术以及快速自动反演技术;探索磁性多参数的应用新领域,充分发挥磁法在环境污染调查中的作用并开拓应用新领域。 相似文献
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草滩沟群、丹凤岩群火山岩对比及其构造环境分析 总被引:2,自引:0,他引:2
通过北泰岭造山带西段凤县地区1:5万辛家庄、红花铺幅区调填图及前人成果,对位于秦岭岩群南北两侧的丹凤岩群和草滩沟群火山岩的岩石类型、岩石化学及地球化学特征进行对比,认为二者均属亚碱性岩系之钙性-钙碱性系列;前者为中-基性岩组合,显示了岛弧外侧-边缘海型的构造背景特征;后者为中-酸性岩组合,具弧后盆地拉张裂谷活动背景特征。为探讨北秦岭造山带的地质发展史提供了新的资料。 相似文献
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FY-3B TOU臭氧总量产品空间分辨率为50 km,在开展小区域或精细化的臭氧研究时,需要获得更高分辨率、更具有准确和可靠性的臭氧插值数据。常规的数据插值方法没有考虑TOU臭氧总量受短波辐射、海拔高度的影响,所得到的插值数据参考性不强。文中介绍TOU多元回归插值方法,方法采用程序设计方式,动态分析TOU与短波辐射、海拔高度之间的相关性,建立一元回归模型,并根据一元回归模型结构建立多元回归模型,再通过多元回归模型对TOU进行插值。使用OMI臭氧总量数据对插值结果开展验证,验证结果表明采用多元回归算法的插值具有较好的可行性。且该插值方法及程序设计对其他类似的数据插值、分析具有一定的借鉴和参考意义。 相似文献
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大兴安岭北段扎兰屯哈多河“花岗质糜棱片麻岩”年代学及地球化学特征研究 总被引:2,自引:0,他引:2
哈多河“花岗质糜棱片麻岩”为一套变质变形的花岗质岩石,其岩石组合为细粒黑云母二长花岗质糜棱片麻岩、细粒黑云母花岗质糜棱片麻岩和细粒石榴二云母花岗质糜棱片麻岩.SiO2含量在66.4%~74.52%之间,K2O+ Na2O介于7.36%~8.84%之间,Al2()3含量在13.43%~15.74%之间,A/CNK =0.974~1.092,属于高钾钙碱性、准铝质到过铝质岩石;具有较高的稀土总量(ΣREE=94.15×10-6~164.30×10-6),稀土元素配分模式表现为轻稀土元素(LREE)富集、重稀土元素(HREE)相对亏损的右倾型曲线,具有弱的负铕异常;富集Rb、Ba、U、K等大离子亲石元素,相对亏损Ta、Nb、P、Ti等元素.锆石U-Pb测年结果表明,哈多河“花岗质糜棱片麻岩”的岩浆侵入期次可分为两期,第一期在320Ma左右,代表性岩石为细粒黑云母花岗质糜棱片麻岩和细粒石榴二云母花岗质糜棱片麻岩;第二期在304Ma左右,代表性岩石为细粒黑云母二长花岗质糜棱片麻岩.综合岩相学、年代学及岩石地球化学特征,哈多河“花岗质糜棱片麻岩”原岩为高钾钙碱性Ⅰ型花岗岩,形成于晚石炭世兴安地块与松嫩地块的后碰撞构造环境下,之后在早二叠世末遭受“后碰撞作用”的影响,发生较强的韧脆性变质变形. 相似文献
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将地理信息与水产资源相结合,为水产养殖业提供一个直观的、可视化的地理信息展示和管理服务平台。综合应用Geoserver,Openlayers,J2EE等技术设计并实现了水产信息和相关专题地图的数据采集、管理、服务发布以及在线浏览、查询、空间分析、统计分析等功能。 相似文献
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在温度为 ( 2 2± 1 )℃ ,盐度为 2 8的条件下 ,用不同浓度的NaHCO3( 0 ,1 0 0 ,2 0 0 ,40 0 ,80 0 ,1 2 0 0和 1 60 0mg/L)对青岛海洋大学微藻种质库保存的塔胞藻 (Pyramidomonassp.)、小球藻 (Chlorellaspp .)和新月菱形藻 (Nitzschiaclosterium )进行培养。实验结果表明 ,NaHCO3浓度对 3种海洋微藻生长的影响差异显著 ,经过 6d的培养 ,塔胞藻和小球藻的细胞浓度都在NaHCO3浓度为 1 2 0 0mg/L时达到最大值 ;新月菱形藻的细胞浓度在NaHCO3浓度为 40 0mg/L时达到最大值。 相似文献
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Application of an automated LSPIV system in a mountainous stream for continuous flood flow measurements
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An imaging‐based automated large‐scale particle image velocimetry (LSPIV) system for flash flood monitoring is developed and deployed in a mountainous stream in the Longchi Catchment, Chengdu, China. This system is built from a low‐cost Raspberry Pi board‐level computer with a camera module, which can acquire continuous images/videos automatically at programmed intervals. The minimum quadratic difference algorithm tracks surface patterns as flow tracers to estimate the distribution of surface velocities. Meanwhile, a stereo imaging‐based ‘virtual pole’ method has been developed to reconstruct the three‐dimensional topography with a stereo digital camera, and a cross‐sectional bathymetry has been generated without manual surveying. The varying water stage and water surface gradient, which are critical parameters that affect image rectification and surface velocity measurements, can also be directly resolved by applying the two imaging modules together. Discharge can then be estimated with the velocity–area method through selected cross sections. A flash flood that occurred between 24 July 2014 and 25 July 2014 is selected for analysis. The water surface level reconstructed from image processing was validated with marked water levels, and a good agreement was found with a root mean square error of 3.7 cm. The discharge recorded during the flood recession process ranged from approximately 3.5 to 27 m3/s. The rating curve obtained can be well described by a power function, and the linear regression suggested a Manning's n roughness coefficient of 0.18 of one specific cross section. Some limitations of the presented large‐scale particle image velocimetry system are also put forward, and possible solutions are provided for future improvements. With these proposed upgrades, the system can provide valuable datasets of flash floods in steep mountainous streams, which are critically needed for improving our understanding and modelling of many hydrological processes associated with flood generation, propagation and erosion, as well as for real‐time forecasting. Copyright © 2016 John Wiley & Sons, Ltd. 相似文献