新的构造控矿类型——螺旋构造控矿

概括天宝山新兴角砾岩筒铅锌矿,山东七宝火山岩型金矿,安徽铜陵凤凰山铜矿,辽宁簸箕山磷矿,辽宁清源红透山铜(锌)矿等构造控矿实例的解读,表明它们可建立一种新的构造控矿类型——螺旋构造控矿。受幔团螺旋运动上冲的地幔热柱多级浸演化的幔枝构造制约。     

“十五”期间我省地震分析预报数据库建设展望

本文阐述了地震分析预报数据库在地震中短期预报系统中的重要性 ,同时具体提出建立该数据库系统所用的方法和技术途径 ,并给出预期的成果。另外 ,本文还介绍了建立该数据库系统的有利条件极其存在的困难 ,并对解决困难提出了建议。     

基于计算机模拟模型LESS的落叶松林木质元素影响分析

目前大部分植被辐射传输模型在模拟太阳辐射与植被之间的相互作用过程时,将植物结构进行了简化,只保留了叶片的结构和空间分布特征,而忽略了木质元素(枝干等)对冠层反射特性的影响.计算机模拟模型LESS能够充分考虑植被的多种组分光谱和结构特征,精确模拟植被冠层内部的光散射和辐射过程.本文以地面实测数据为基础,发展了以单木为基本...     

风尘堆积常见的同沉积和沉积后改造特征及其环境意义

黄土堆积作为气下沉积,任何一个深度都曾经暴露于地表,因而必然受到相关地表过程的作用.由于这些过程均发生于特定的环境条件下,形成的特征多数具有明确的环境意义;而黄土在沉积后也可能受到各种地质过程的改造,从而对研究中常用的气候代用指标有一定影响.文章基于野外、微形态等分析,结合前人成果,对我国北方新近纪风尘堆积中常见的同沉积和沉积后改造特征、形成过程及环境意义进行研究.由于一些特征在黄土堆积中具有普遍性,可作为识别风成堆积的标志和环境事件研究的指标,并有助于全面理解常用的替代指标的环境意义.     

柿竹园夕卡岩中钙铝-钙铁榴石系列石榴子石形成条件的实验研究

柿竹园夕卡岩中有早、晚形成的两种产状石榴子石。本文为查明其形成物理化学条件及与矿化的关系,采用矿区天然花岗岩、灰岩和夕卡岩化早期形成的石榴子石为试样进行了模拟实验研究。实验结果表明:夕卡岩化早期石榴子石是在温度400—750℃,压力500—1000bar,pH=5—8条件下,由富含Si、Al、Fe、Cl、F等组分的热液与上泥盆统佘田桥组灰岩交代反应形成的;晚期石榴子石是在温度250—700℃,压力500—1000bar,pH=5—14条件下,由富含Si、Al、F等组分的带钨溶液与早期石榴子石交代反应产生重结晶作用形成的。     

Remote Sensing Image On‐Demand Computing Schema for the China ZY‐3 Satellite Private Cloud‐Computing Platform

Time is a crucial factor for many remote sensing applications such as emergency response. The traditional approach requires users to spend a lot of time downloading, processing, and viewing satellite images with specialized software. Realizing interactive real‐time processing and visualization of satellite images online is our focus. This article presents an On‐Demand computing schema for remote sensing images. A processing chain model is proposed for satellite images on a private cloud computing platform designed for the China Centre for Resources Satellite Data and Application (CCRSDA). The architecture, processing flow, optimization method, fault tolerance, and user interface are described in detail. To test the efficiency and scalability of the platform, 11 processing chains were created and three load balance experiments were executed. The results from these experiments show the validity of the proposed methods and architecture.     

Improved Priority‐Flood method for depression filling by redundant calculation optimization in local micro‐relief areas

Depression filling is a critical step in distributed hydrological modeling using digital elevation models (DEMs). The traditional Priority‐Flood (PF) approach is widely used due to its relatively high efficiency when dealing with a small‐sized DEM. However, it seems inadequate and inefficient when dealing with large high‐resolution DEMs. In this work, we examined the relationship between the PF algorithm calculation process and the topographical characteristics of depressions, and found significant redundant calculations in the local micro‐relief areas in the conventional PF algorithm. As such calculations require more time when dealing with large DEMs, we thus propose a new variant of the PF algorithm, wherein redundant points and calculations are recognized and eliminated based on the local micro‐relief water‐flow characteristics of the depression‐filling process. In addition, depressions and flatlands were optimally processed by a quick queue to improve the efficiency of the process. The proposed method was applied and validated in eight case areas using the Shuttle Radar Topography Mission digital elevation model (SRTM‐DEM) with 1 arc‐second resolution. These selected areas have different data sizes. A comparative analysis among the proposed method, the Wang and Liu‐based PF, the improved Barnes‐based PF, the improved Zhou‐based PF, and the Planchon and Darboux (P&D) algorithms was conducted to evaluate the accuracy and efficiency of the proposed algorithm. The results showed that the proposed algorithm is 43.2% (maximum) faster than Wang and Liu's variant of the PF method, with an average of 31.8%. In addition, the proposed algorithm achieved similar performance to the improved Zhou‐based PF algorithm, though our algorithm has the advantage of being simpler. The optimal strategies using the proposed algorithm can be employed in various landforms with high efficiency. The proposed method can also achieve good depression filling, even with large amounts of DEM data.     

无人机与卫星影像的叶面积指数遥感反演研究

针对卫星遥感影像获取的叶面积指数精度较低的问题,该文结合无人机低空航拍影像和卫星影像,基于最小二乘法建立了一种叶面积指数遥感反演方法,并与卫星影像像元二分模型进行了比较。结果表明:从单一植被类型到整体植被叶面积指数的反演,新方法均优于卫星影像的像元二分法,两者整体相对误差分别为27%和35%。4种植被类型中,草本植物对模型的反演精度影响较大,两者相对误差分别为32%和56%。使用该方法准确计算了长汀县相关区域叶面积指数分布,与他人结果一致。该方法提高了卫星遥感影像获取叶面积指数的精度,为大面积高精度估算区域植被提供了一种方法。     

基于小波去噪的地铁变形组合预测模型分析

对地铁监测数据建立相应的预测模型,对变形可进行前瞻性预测,从而保证地铁安全的施工和运营。本文以北京市地铁某基坑工程为研究对象,首先以某一监测点为例,利用小波分析对原始监测数据进行去噪处理;然后分别利用时间序列分析模型和BP神经网络模型对去噪后的数据进行建模分析,得到原数据的拟合值和对未来变形的预测值;最后利用同期Sentinel-1A卫星影像进行相干点时序InSAR处理,得到形变结果。通过分析两个模型的预测值与实际值,并与InSAR结果进行对比,验证了两个预测模型在地铁形变监测中应用的优劣性。     

扬子地块北缘武当山岩群与耀岭河岩群不整合接触关系的地质意义

鄂西北南化塘地区中元古界武当山岩群由三个岩段组成，其原岩分别以火山角砾岩、岩屑凝灰岩及晶屑凝灰岩为主。它们的空间展布与上覆上元古界耀岭河岩群高角度相交，三岩段所显示出早期褶皱也只限于武当山岩群内部，与上覆岩群的构造轮廓极不谐调，耀岭河岩群没有经历过这一期变形。因此，武当山岩群与耀岭河岩群之间最初存在着明显的角度不整合接触。该区域不整合面的厘定和早晋宁运动的确认将改变以往关于扬子地块北缘构造层的划分及构造演化历史的认识，对研究秦岭造山带的造山过程具有重要意义。