饱和储层砂岩中流体粘度引起的超声波速度频散实验研究(英文)

在实验室对5块储层砂岩进行了模拟地层压力条件下的超声波速度测试。砂岩样品采自WXS凹陷的W地层,覆盖了从低到高的孔隙度和渗透率范围。实验选用了卤水和4种不同密度油作为孔隙流体,结合温度变化,实现了对流体粘度引致的速度频散研究。对实验结果的分析表明:(1)对于高孔隙度和渗透率的样品,无论是哪种流体饱和,观察到的超声波速度测试值和零频率Gassmann预测值的差异较小(约2-3%),基本上可以用Biot模型解释;对于中等孔隙度和渗透率的样品,低粘度流体(<约3mP?S)的频散效应也可以用Biot模型得到合理解释;(2)对于低、中孔隙度和渗透率样品,当流体粘度增加时,喷射流机制起主导作用,导致严重的速度频散(可达8%)。对储层砂岩的微裂隙纵横比进行了估计并用于喷射流特征频率的计算,当高于该特征频率时,Gassmann理论的假设条件受到破坏,实验室测得的高频速度不能直接用于地震低频条件下的W地层砂岩的Gassmann流体替换研究。     

A New Progressive Simplification Method for Point Cloud Using Local Entropy of Normal Angle

With the development of modern 3D measurement technologies, it becomes easy to capture dense point cloud datasets. To settle the problem of pruning the redundant points and fast reconstruction, simplification for point cloud is a necessary step during the processing. In this paper, a new method is proposed to simplify point cloud data. The kernel procedure of the method is to evaluate the importance of points based on local entropy of normal angle. After the estimation of normal vectors, the importance evaluation of points is derived based on normal angles and the theory of information entropy. The simplification proceeds and finishes by removing the least important points and updating the normal vectors and importance values progressively until user-specified reduction ratio is reached. To evaluate the accuracy of the simplification results quantitatively, an indicator is determined by calculating the mean entropy of the simplified point cloud. Furthermore, the performance of the proposed approach is illustrated with two sets of validation experiments where other three classical simplification methods are employed for contrast. The results show that the proposed method performs much better than other three methods for point cloud simplification.     

基于ANUSPLIN的小兴安岭地区降水格点数据空间插值

在全球变化研究中,高分辨率、网格化的气候数据作为环境因子是地学模型和气模型等相关研究的重要参数.本文以黑龙江省小兴安岭地区为研究对象,采用ANUSPLIN空间插值方法,利用该区域69个地面降水月值0.5°×0.5°格点和1 km空间分辨率DEM,对逐月降水进行了空间插值,使用广义交叉验证方法和多个评估指标进行了误差分析和精度评价,进一步分析了2020年小兴安岭地区降水月值的时空特征.结果表明:TVTPS4模型具有最优插值精度和区域适用性;降水具有阶段性和季节性,以及地域分布差异特征.本研究成果可为复杂地形地貌的气象要素精细化研究,以及区域可持续发展科学决策提供参考.     

遥感科学与技术专业本科创新人才培养能力评价体系

通过调查走访,设计、分发、回收纸质、电子问卷,查阅期刊等调查方式收集与遥感科学与技术专业本科创新人才培养能力相关的评价项,将出现次数大于总次数10%的评价项作为最终的专业创新人才培养能力评价指标;根据评价指标含义确定各二级指标对应的评价依据,构建了新时期遥感科学与技术专业本科创新人才培养能力评价体系。该体系可用于遥感科学与技术专业本科创新人才培养能力现状的评价,为后期高校从多方面提高创新人才培养能力提供基础。     

基于蓝噪声理论的遥感图像森林植被纹理测量

遥感图像分割中森林植被是重要的一类目标,有效确定森林植被的纹理尺度是纹理分割的重要问题。提出一种用蓝噪声理论描述遥感图像森林植被纹理特征的方法,是一种新的植被纹理刻画和纹理尺度计算方法。研究尺度与植被纹理形态的对应关系,对于选定的探测区域,迭代寻找蓝噪声特征。迭代过程包含通过几何变换缩小区域的尺寸,用快速傅里叶变换获取区域的频谱响应,从频谱响应中提取蓝噪声特征。对于具有蓝噪声特征的区域,计算森林植被纹理的灰度分布,根据当前区域尺寸计算纹理的尺寸。实验表明,森林植被纹理单元的尺度和灰度分布测量结果准确,为进一步纹理分割提供了可靠的基础。     

遥感数据时空尺度对地理要素时空变化分析的影响

地理要素的时空变化分析对于了解和掌握地表的规律性有着重要的作用。利用地面站点观测、实地调查等传统方式获取数据,对地理要素进行时空变化分析是最常用的方法。但该类方法往往表现的是"点尺度"观测,不能在大尺度情况下准确地反映地表的时空变化信息。遥感卫星能以一定的时间间隔获得空间连续的对地"面尺度"观测数据,然而其特定的空间和时间分辨率使其获取的地表信息仍十分有限。同时地表的空间异质性和个别地表短时间内的快速变化,使得利用遥感数据对地理要素进行时空变化分析时,时空变化分析结果会随观测尺度而发生改变。本文从空间尺度和时间尺度两方面综述遥感数据时空尺度对地理要素的时空变化分析产生的影响和原因,并针对这些问题总结了减小时空尺度对结果不确定性影响的现行方法。可以通过多源遥感协同观测和反演、尺度转换、空间建模等方法减小空间尺度引起的不确定性;通过联合多时相遥感数据的方法减小时间尺度引起的不确定性。在实际应用中,应根据所观测地理要素的实际情况,综合分析选择合适的方法。     

洪涝灾害灾情分析和评估的遥感方法研究

探讨了基于遥感和地理信息系统手段进行洪涝灾害灾情分析和损失估计的途径,研究了利用灾后一定时期内的遥感影像再现淹没状况的方法。     

A Study of the Rhenium-Osmium Geochronometry of Molybdenites1

Abstract This study deals with the first application of the isotope dilution-inductively coupled plasma mass spectrometry in the rhenium-osmium geochronometry in China. The chemical separation procedure included decomposition of samples by means of alkali fusion, extraction of rhenium by acetone and extraction of osmium by distillation. The recovery of both elements in the entire process was more than 90% . The blanks of analyses were 0.07 ng for rhenium and 0.01 ng for ¹⁸⁷Os. The mineralization ages of molybdenites from four molybdenum deposits in China were determined by using this method, with a precision (2σ) of about ±3% . These results agree satisfactorily with their geological backgrounds. The Re-Os method can directly determine ages of metal deposits and reflect the true ages more reliably than other dating methods that only determine the ages of country rocks from which mineralization ages are inferred. As many hydrothermal sulphide deposits usually contain molybdenites, this method has bright prospects of wide application.     

State of China's climate in 2021

This report is a summary of China's climate, as well as major weather and climate events, during 2021. In 2021, the mean temperature in China was 10.5°C, which was 1.0°C above normal (1981–2010 average) and broke the highest record since 1951. The annual rainfall in China was 672.1 mm, which was 6.7% above normal. Also, the annual rainfall in northern China was 40.2% above normal, which ranked second highest since 1961. The rainstorm intensity in the rainy season was strong and featured significant extremes, and disasters caused by rainstorms and flooding were more serious than the average in the past decade. In particular, the extremely strong rainstorm in Henan during July and autumn caused flooding in the middle and lower reaches of the Yellow River with severe consequences. Heatwaves occurred more frequently than normal, and their durations in southern China were longer than normal in summer and autumn. Phased drought was obvious, and caused serious impacts in South China. The number of generated and landfalling typhoons was lower than normal; however, Typhoon In-fa broke the record for the longest overland duration, held since 1949, and affected a wide area. Severe convective weather and extreme windy weather occurred frequently, causing serious impacts. The number of cold waves was more than normal, which caused wide-ranging extremely low temperatures in many places. Sandstorms appeared earlier than normal in 2021, and the number of strong dust storm processes was more than normal.摘要2021年, 中国气候暖湿特征明显, 全国平均气温10.5℃, 较常年偏高1.0℃, 创下了1951年以来最高纪录; 全国平均降水量672.1毫米, 比常年偏多6.7%, 其中北方地区平均降水量较常年偏多40.2%, 为1961年以来第二多. 汛期暴雨过程强度大, 极端性显著, 河南特大暴雨灾害影响重, 黄河中下游流域秋汛明显; 高温过程多, 夏秋南方高温持续时间长; 区域性, 阶段性气象干旱明显, 华南干旱影响较重; 台风生成和登陆均偏少, “烟花”陆地滞留时间长, 影响范围广; 强对流天气强发, 极端大风频发, 局地致灾重; 寒潮过程多, 强度大, 极端低温频现; 沙尘天气出现早, 强沙尘暴过程多.     

非地转湿Q矢量在台风暴雨预报中的应用试验

利用NCEP/NCAR全球格点资料和TRMM卫星资料,采用改进后的非地转湿Q矢量,对0908号台风＂莫拉克＂引起的台湾南部特大暴雨过程进行预报应用试验。试验结果表明：（1）850 hPa高度层的非地转湿Q矢量散度及水汽通量散度分布可以预报未来24 h暴雨的落区及其雨带的分布,暴雨发生在Q矢量散度梯度大值区靠近辐合区域,同时该区域要有水汽辐合中心,雨带分布与该梯度大值区分布基本一致。（2）Q矢量辐合区的倾斜式发展很好地描述了暴雨中心强对流系统垂直结构,强对流系统发展旺盛期出现在暴雨发生前的18 h,具有一定预报意义。（3）台风暴雨发生在次级环流的上升支附近,最强次级环流上升支出现在暴雨发生时期;次级环流中的上升气流从低层到高层的倾斜方向较好地描述了雨带的移动,次级环流的调整比雨带移动提前了24 h,具有较好的预报应用价值。