“科钻一井”一开泥浆技术          下载免费PDF全文

陈小明李传武  孙德宇李发东　和昔 《探矿工程》2001,(6):63-64

“科钻一井”一开井段采用了钠膨润土-高粘CMC泥浆体系，视漏失情况添加GD-Ⅲ随钻堵漏剂，满足了施工携带岩屑和堵漏防漏要求。介绍了该井一开井段的泥浆技术，并对泥浆成本进行了分析。  相似文献   

陆相红层盆地1:5万区调中的遥感应用研究   总被引：3，自引：0，他引：3  

刘登忠 《国土资源遥感》1996,7(2):45-50

本文采用遥感地质方法,对陆相红层盆地的沉积岩相、沉积体系界面、盆地充填序列、岩相变化以及地层格架影像特征进行了识别研究,取得了较好效果,为遥感在红层盆地1:5万区调中的应用,开辟了新思路。  相似文献   

Landsat　TM及JERS－1　SAR数据在金矿探测中的应用研究     

张满郎  郑兰芬 《遥感学报》1996,(4)

金矿遥感探测之关键在于成矿构造及铁氧化物、含羟基蚀变矿物的信息提取。ＪＥＲＳ—１ＳＡＲ在构造探测方面具有很大的优势，可通过噪斑消除及边缘增强的空间滤波来提取构造信息。ＬａｎｄｓａｔＴＭ可通过主成分变换，比值分析－主成分变换来提取蚀变矿物波谱信息、抑制植被波谱干扰。这两种遥感数据的复合处理可综合蚀变与构造信息。  相似文献   

密1井水位在日本北海道7.8级地震震前的异常反映     

姜大万  张云都 《东北地震研究》1996,12(3):54-57

黑龙江省密山市密１井水位于１９９３年７月１２日２１时１７分日本北海道西南海域Ｍｓ７．８级强震前４天开始出现的水位异常现象，这可能是地下水位的远场前兆效应，对强震孕育过程的理解提供了新的科学线索。  相似文献   

中国沿海地区国民收入预测的新组合模型     

刘玉龙  陆大道 《地理科学》1996,16(4):305-311

着重讨论一种基于灰色ＧＭ（１，１）模型及国民收入决定函数模型而建立的新组合模型。该模型建模方法简单，组合性强，并且在各模型的拟合精度提高。该模型汲取了灰色ＧＭ（１，１）模型模拟国民收入变化趋势的优点和国民收入决定函数模型模拟国民收入波动的优点，使组合模型不但在趋势上符合国民收入的发展，而且也给出了在波动方面的比较一致的模拟。  相似文献   

对中强地震发震时间的模糊灰色预测     

蒋海昆 《山西地震》1992,(1):31-36

本文视地震系统为模糊灰色系统,由此建立关于发震时间的模糊灰色预测模型,该模型认为已知地震样本集及待预测集的震级分布属模糊正态分布,应用模糊聚类思路于样本集元素的选取,引入最佳震级从属函数μ~*的选择过程。针对可能产生的趋势性偏差,根据实际资料对模型进行了修正。并以华北平原地震带、燕山渤海地震带及山西地震带为例,对模糊灰色GM(1,1)预测模型的实际应用及有关问题进行了初步讨论。  相似文献   

GBPP－100型地面雨滴谱仪测量的可靠性   总被引：6，自引：0，他引：6  

陈金荣  马生伟 《南京气象学院学报》1995,(2)

用ＧＢＰＰ－１００型地面雨滴谱仪与吸水纸斑，点法进行同步观测，对比分析ＧＢＰＰ－１００型地面雨滴谱仪测量的可靠性。结果表明：（１）两种方法测量雨滴谱所得资料除平均直径、均立方根直径相似性稍差外，其它特征量的线性相关显著性水平均为０．００５；（２）两种方法所得雨滴谱资料除平均直径、均立方根直径、降水强度稍有差异外，其它特征量均无显著差异。  相似文献   

灰色系统理论在海堤沉降预测中的应用   总被引：8，自引：2，他引：6  

臧德彦 《测绘工程》1999,8(2):50-54

利用灰色系统理论,对秦山核电站一期海堤沉降进行了预测,以较少的观测样本建立了新陈代谢数列,经后验差检验,观测精度达到一级。由此证明,用ＧＭ（１,１）模型进行预测,建模方便,预测精度高,在大型建筑物变形监测中有较大的实用价值。  相似文献   

A hyperspectral experiment over tropical forests based on the EO-1 orbit change and PROSAIL simulation     

Lênio Soares Galvão  Alana Almeida de Souza  Fábio Marcelo Breunig 《地理信息系统科学与遥感》2020,57(1):74-90

ABSTRACT

We designed a unique hyperspectral experiment from the Earth Observing One (EO-1) orbit change to evaluate solar illumination effects over tropical forests in Brazil. Ten nadir-viewing Hyperion images collected over a fixed site and period of the year (July to August) were selected for analysis. We evaluated variations in reflectance and in 16 narrowband vegetation indices (VIs) with increasing solar zenith angle (SZA) from the pre-drift (2004–2008) to the EO-1 drift period (2011–2016). To detect changes in reflectance and shadows, we applied spectral mixture analysis (SMA) and principal component analysis (PCA) and calculated the similarity spectral angle (θ) between the vegetation spectra measured with variable SZA. The magnitude of the illumination effects was also evaluated from change-point analysis and nonparametric Mann-Whitney U tests applied over the time series. Finally, we complemented our experiment using the PROSAIL model to simulate the VIs variation with increasing SZA resultant from satellite drift. The results showed significant changes in Hyperion reflectance and VIs, especially when the EO-1 crossed the study area at earlier times and larger SZA in 2015 (9:05 a.m.; SZA = 59°) and 2016 (8:30 a.m.; SZA = 67°). Compared to the pre-drift period (10:30 a.m.; SZA = 45°), the SZA differences of 14° (2015) and 22° (2016) increased the shade fractions and decreased the vegetation brightness. PCA separated the pre-drift and drift reflectance datasets, showing shifts in scores due to changes in brightness. θ increased with SZA, indicating changes in the shape of the vegetation spectra with drift. For most VIs, the change-point analysis indicated 2015 (SZA = 59°) as the predominant year of detected changes. Compared to the EO-1 original orbit, the Plant Senescence Reflectance Index (PSRI), Anthocyanin Reflectance Index (ARI) and Structure Insensitive Pigment Index (SIPI) presented the largest positive changes during drift, while the Photochemical Reflectance Index (PRI), Visible Atmospherically Resistant Index (VARI) and Enhanced Vegetation Index (EVI) had the largest negative changes. The effect size of the illumination geometry on these VIs was large, as indicated by increasing values of the Cohen’s r metric toward 2016. The anisotropy of the Hyperion VIs was generally consistent with that from PROSAIL in the simulated pre-drift and drift periods. Focusing on structural indices, it affected the relationships between VIs and simulated leaf area index (LAI) at large SZA.  相似文献   

Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier,Iceland     

Diego Gómez  Pablo Salvador  Julia Sanz  Mikhail Urbazaev  José Luis Casanova 《地理信息系统科学与遥感》2020,57(6):813-829

ABSTRACT

The climate in southern Iceland has warmed over the last 70 years, resulting in accelerated glacier dynamics at the Solheimajoküll glacier. In this study, we compare glacier terminus locations from 1973 to 2018, to changes in climate across the study area, and we derive ice-surface velocities (2015–2018) from satellite remote-sensing imagery (Sentinel-1) using the offset-tracking method. There have been two regional temperature trends in the study period: cooling (1973–1979) and warming (1980–2018). Our results indicate a time lag of about 20 years between the onset of glacier retreat (?53 m/year since 2000) and the inception of the warming period. Seasonally, the velocity time series suggest acceleration during the summer melt season since 2016, whereas glacier velocities during accumulation months were constant. The highest velocities were observed at high elevations where the ice-surface slope is the steepest. We tested several scenarios to assess the hydrological time response to glacier accelerations, with the highest correlations being found between one and 30 days after the velocity estimates. Monthly correlation analyses indicated inter-annual and intra-annual variability in the glacier dynamics. Additionally, we investigate the linkage between glacier velocities and meltwater outflow parameters as they provide useful information about internal processes in the glacier. Velocity estimates positively correlate with water level and negatively correlate with water conductivity between April and August. There is also a disruption in the correlation trend between water conductivity and ice velocity in June, potentially due to a seasonal release of geothermal water.  相似文献