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使用2021年唐山地区196个测点的土壤气Rn通量数据,结合2010年测量得到的土壤气浓度数据,研究了唐山地区土壤气体Rn通量的地球化学特征及其控制因素。结果表明：（1）土壤气Rn通量范围为0.01～409.31 mBq/（m2·s）,平均值为40.58 mBq/（m2·s）,高值分布在断裂带或断裂带交汇位置;（2）唐山地区土壤气Rn浓度与通量高值空间分布有较好的一致性,在研究区北部,较低的b值与土壤气Rn通量的高值空间对应关系较好;（3） Rn通量测量受环境（地温、气温与海拔）影响较小,并与近期小震活动相关不明显;（4）土壤气Rn通量和浓度与b值的空间分布特征一致,Rn高通量与高浓度对应低b值,表明土壤气Rn脱气强度可能与活动断裂带的高渗透性以及高应力有关。 相似文献
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周村水库汛期暴雨中溶解有机物(DOM)的光谱特征及来源解析 总被引：2，自引：2，他引：0
运用三维荧光光谱（EEMs）技术结合平行因子分析法（PARAFAC）,对周村水库夏季两场暴雨不同降雨历时以及分子量的溶解有机物光谱特征和来源进行分析.结果表明：周村水库不同暴雨荧光光谱中出现了5种组分,分别为类腐殖质（C1、C2）、可见区富里酸（C3）和类蛋白（C4、C5）;相关性分析显示C1与C2、C3、C4以及C5具有显著的相关性,C2与C3具有显著的相关性,C3与C4以及C5具有显著的相关性;同一分子量下的雨水有机质总荧光强度以及各组分荧光强度随着降雨历时的增加均呈下降趋势,并且在各个历时和分子量间差异明显;同一降雨历时下,第一场暴雨总荧光强度随着分子量的减少而增加,第二场暴雨总荧光强度随着分子量的减少而减少;两场暴雨都呈现自生源的特征,其中第一场暴雨具有以陆源输入为主的特征;组分C1和C3与水质参数硝态氮、氨氮、总氮以及有机碳呈显著相关性.通过对暴雨在不同降雨历时以及分子量DOM光谱特征研究,可以进一步分析水库外源输入的天然有机质特征,为水库水质管理提供技术支持. 相似文献
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地震对人类生活安全有很大的威胁,对建筑结构有明显的影响,研究地震波动强度非平稳特征可为地震的预防提供参考。研究地震波动强度非平稳特征提取模型,分别设定确定性参数和随机参数的取值。对地震波动强度非平稳特性进行傅里叶分析,根据分析结果选取数学模型,并对模型参数进行设定;将记录的地震波动强度所对应的数振幅谱进行分解,拆分成一组不同尺度的分量,并对其重组创建连续分量,提取地震波振幅谱;利用地震波的振幅谱和相位谱之间的关系对地震波动强度非平稳特征进行提取。经过仿真实验证明,本方法提取地震波动强度非平稳特征的准确度更高,对分析高分辨率地震资料具有重要意义。 相似文献
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基于区间值模糊C-均值算法的土地覆盖分类 总被引：1，自引：0，他引：1
用区间值数据描述聚类原型特征更符合遥感数据的模糊性特点,即传感器获取的地物反射光谱的不确定性和不均匀性在影像上的反映.本文以遥感影像数据为基础构建了区间值数据模型,并提出一种区间最大相异度量方法,进而进行基于区间值数据的模糊C-均值聚类.利用珠三角地区SPOT5卫星和青海玉树附近的TM影像数据进行基于区间值模糊C-均值算法的土地覆盖分类实验.结果表明区间值数据的模糊C-均值算法兼顾了模糊聚类的泛函特性和地物反射光谱的条带特点,从而可以明显改善聚类效果,尤其可以降低"同物异谱"现象对聚类结果的不利影响,而区间最大相异度量可实现基于多波段遥感影像构建的区间向量的最大可分离度,有效抑制类间光谱混叠造成的错分现象,进一步改善聚类效果,最终结果明显优于传统的模糊C-均值聚类方法. 相似文献
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时序InSAR技术是近些年发展起来的一种新的InSAR测量技术.其中PS-InSAR技术是通过分析高相干的永久散射体相位变化信息提取形变,受时间和空间基线的限制小,该方法需要假设形变特征为匀速,同时需要大量的SAR数据（25景）来估算大气效应贡献值;短基线技术（SBAS）可以降低几何去相干的影响,同时较短基线使DEM误差的敏感性大大降低,但该方法通过一定大小的窗体计算相干性,并据此来选择时间序列稳定点,窗体操作降低了被选像元的分辨率,但抑制了噪声相位的影响;干涉图叠加方法（interferogram stacking）是将多幅差分干涉图进行叠加,提高结果中形变信息对大气干扰的相对精度,可以获取大区域的连续形变场;CR-InSAR技术将人工角反射器作为观测对象,通过建立CR点上的形变模型,实现对重点目标如滑坡、水库和断层的形变监测. 相似文献
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为了解浅覆盖区半出露辉长岩等基性岩体地球物理与遥感影像识别方法,本文利用大井坡航空地球物理试验场建设过程中获取的多种地球物理和遥感影像数据,开展了辉长岩岩石磁性、密度、电性、放射性及光谱等综合岩石物性特征,磁、重、电磁、放射性等地球物理场与遥感影像特征以及不同方法组合相关性研究．结果表明大井坡辉长岩具有高磁化率、高密度、中等电阻率、低放射性以及高反射率等综合物性特征,具有近东西向条带状较强磁异常、椭圆形重力高值异常、近椭圆形中等强度电阻率异常、条带状低放射性异常等地球物理场特征和近东西向红色-砖红色条带状、梳状影纹等遥感影像特征;大井坡辉长岩的遥感影像信息、放射性异常信息及地质信息具有很好的相关性,能够比较容易圈定岩体出露地表范围;大井坡辉长岩体磁、重、电磁信息相关性较差,不同方法之间存在信息差异,这种差异是地质体不同属性的反映,与遥感影像、放射性及地质资料对比可圈出隐伏岩体范围．因此,地球物理与遥感影像等多源信息可从不同角度更加全面地表征地质体特征,有助于更加客观地反映地质体属性．多种地球物理及遥感影像、地质等信息显示,大井坡辉长岩体受东西向龙头山断裂控制,总体呈近东西向展布,东西长... 相似文献
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基于小波多尺度分析的奇性指数：一种新地震属性 总被引：22，自引：6，他引：22
传统的地震解释主要是观测地震振幅及相位的变化，但是地震振幅也会掩盖地下介质中真实的地质情况.在许多情况下，重要的地质信息可能是通过与振幅特征无关的奇异性参数来传递的.本文提出奇异性指数，即Hlder指数α（又被称为Lipschitz指数），可以作为一种新的地震属性，它能够准确反映数据中的奇点的位置和奇异性强度.Hlder指数α是对某一点上或某一点周围很小的范围内的奇异性强度的度量，大的α值表示低的奇异性（或高的正则性）.研究表明α可以作为一种自然的能够精确刻画地层边界的地震属性.本文根据这一思想，对合成和实测的地震数据进行了小波基础上的多尺度分析研究，结果表明由本文的算法得到的α提高了对地层边界划分的能力，而这些地层界面在传统的地震振幅显示则不明显. 相似文献
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大地电磁观测数据中的相位超象限现象可以由不同的电性结构产生.本文在已实现大地电磁三维任意各向异性有限差分正演的基础上,以具有上下结构关系的三维各向异性模型为例,分析各向异性体的规模以及参数变化对阻抗相位的影响.在下部各向异性体规模明显大于上部各向异性体或表现为层状特征的情况下,上部各向异性体在两个水平方向上的尺度差异较大,可以看作准二维体时容易发生相位超象限;当上部各向异性体在两个水平方向上尺度相近表现为规则三维体时,要产生相位超象限的现象则需要各向异性体具有更高的各向异性比.在同等条件下,增加各向异性体的各向异性比更容易发生相位超象限;而各向异性走向方位角的变化将直接影响到发生相位超象限的范围.对于准二维模型引起相位超象限的条件,沿用二维模型的近似解析分析方法,进一步构建了基于各向异性体的电导率、背景电导率以及各向异性走向角的相位超象限指标函数,从而更加直观地解释在二维或准二维条件下发生相位超象限现象的模型参数特征. 相似文献
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鉴于地震数据不连续性检测的重要性,本文提出了一种保持和检测地震图像不连续性(如:岩层,断层,河道等)的方法.通常在图象不连续的地方,象素值会有较大的差异,文中用4×4的方向模板计算目标点周围六个方向上的差值,当最大差值超过某个门限值时,则可认为该点为不连续点,由此来检测地震图像的不连续性.由于包含重要信息的区域受噪声的影响通常比其他地方严重,而且基于差值的不连续性检测算法对噪声较为敏感,所以在不连续性检测之前降低地震图像的噪声是很重要的.普通的平滑去噪方法会造成边缘模糊,不利于不连续性检测.本文采用旋转模板的非线性平滑方法,用四个六边形和一个八边形模板在目标像素周围旋转,用与目标像素标准差最小(最同类)的模板内那些点的均值代替目标像素的值,从而实现对地震图象的保边缘平滑去噪处理.理论模型和实际数据处理结果表明:与Y、Luo等人提出的保边缘平滑方法相比,本文的保边缘平滑处理方法提高了计算效率和峰值信噪比;将文中提出的保边缘平滑方法和基于方向模板的不连续性检测方法结合使用,得到的不连续性检测结果比直接检测更清晰.地震数据解释人员可根据检测到的不连续性来识别断层、岩层、河道等. 相似文献
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R. T. Gushchina A. V. Belov V. N. Obridko B. D. Shelting 《Geomagnetism and Aeronomy》2010,50(4):436-442
Based on observations of long-term variations in galactic cosmic rays (CRs) on Earth and in the near-Earth space, we have
determined, using our own semiempirical model, modulation of galactic CRs during solar cycles 19–23. The modulation model
relates CR variations to the characteristics of the solar magnetic field obtained for the surface of the solar wind source
at distances of 2.50 and 3.25 solar radii. The main focus is CR behavior at the minimums of cycles 19–23 and specific features
of CR modulation at a prolonged (as compared to previous cycles) minimum of cycle 23, which is still ongoing. CR modulation
at minimums related to a change in the solar field dipole component during this period of the cycle has been considered. It
is indicated that the long-term variations in CRs are better described if the last two years (2007 and 2008) of cycle 23 with
anomalously low solar activity (SA) are included in the model. The role and value of the contribution of the cyclic variations
in each index used in the proposed CR modulation model to the observed CR modulation have been estimated. 相似文献
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V. O. Mikhailov E. A. Kiseleva E. I. Smol’yaninova P. N. Dmitriev V. I. Golubev Yu. S. Isaev K. A. Dorokhin E. P. Timoshkina S. A. Khairetdinov 《Izvestiya Physics of the Solid Earth》2014,50(4):576-587
The problems of processing and interpreting the data provided by radar satellite interferometry for the conditions of landslides covered by vegetation are analyzed in two case studies of landslides in the Northern Caucasus in the region of Kepsha and Mamaika villages in the vicinity of the railway tunnels. The estimates of the displacement fields are obtained by the method of persistent scatterers using the StaMPS program package. The five-year experience of landslide monitoring shows that in the unfavorable conditions of satellite radar interferometry, proper selection of the strategy of satellite image processing is vital. In the present paper, we discuss, in particular, the crop selection, the selection of the master image, reference area, and digital elevation model. For the landslide located in the sparsely populated region near Kepsha village, we used the data from the ascending and descending tracks of the long-wavelength ALOS and shorter-wavelength ENVISAT satellites. For the landslide in the region of Mamaika village with a large number of different buildings serving as good scatterers for radar signals, we used the images from the ENVISAT and from TerraSAR satellite, which transmits even shorter waves. The average line-of-sight (LOS) displacement velocities V LOS for the landslide near Kepsha village measure at most 10 mm per annum, which means that this landslide has remained stable at least since 2004. The landslide in Mamaika village is significantly more active. The average LOS displacement velocities in the active part of this landslide attain 60 mm per annum. The artificial corner reflector installed on the segment of the landslide where natural scatterers of radar signal are absent made it possible to estimate the LOS displacement velocity on this segment of the slope at 49 mm per annum. 相似文献
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《Geofísica Internacional》2014,53(3):289-308
Edge enhancement is an element of analysis to derive the spatial structure of satellite images. Two methods to extract edges from multispectral satellite images are presented. A multispectral image is modeled as a vector field with a number of dimensions equal to the number of bands in the image. In this model, a pixel is defined as a vector formed by a number of elements equal to the number of bands. Two vector operators are applied to such vector field. In our first method, we extend the definition of the gradient. In this extension, the vector difference of the window central pixel with neighboring pixels is obtained. A multispectral image is then generated where each pixel represents the maximum change in spectral response in the image in any direction. This image is named a multispectral gradient. The other method, considers the generalization of the Laplacian by means of an η-dimensional Fourier transform. This image is named a multispectral Laplacian. The vector operators perform a simultaneous extraction of edge-content in the spectral bands of a multispectral image. Our methods are parameter-free. Our methods work for a multispectral image of any number of bands. Two examples are discussed that involve multispectral satellite images at two scales. We compare our results with widely used edge enhancement procedures. The evaluation of results shows better performance of proposed methods when compared to widely used edge operators. 相似文献
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Remote sensing of discharge and river stage from space provides us with a promising alternative approach to monitor watersheds, no matter if they are ungauged, poorly gauged, or fully gauged. One approach is to estimate river stage from satellite measured inundation area based on the inundation area – river stage relationship (IARSR). However, this approach is not easy to implement because of a lack of data for constructing the IARSR. In this study, an innovative and robust approach to construct the IARSR from digital elevation model (DEM) data was developed and tested. It was shown that the constructed IARSR from DEM data could be used to retrieve water level or river stage from satellite‐measured inundation area. To reduce the uncertainty in the estimated inundation area, a dual‐thresholding method was proposed. The first threshold is the lower limit of pixel value for classifying water body pixels with a relatively high‐level certainty. The second threshold is the upper limit of pixel value for classifying potentially flooded pixels. All pixels with values between the first threshold and the second threshold and adjacent to the classified water body pixels may be partially flooded. A linear interpolation method was used to estimate the wetted area of each partially flooded pixel. In applying the constructed IARSR to the estimated inundation areas from 11 Landsat TM images, 11 water levels were obtained. The root mean square error (RMSE) of the estimated water levels compared with the observed water levels at the US Geological Survey (USGS) gauging station on the Trinity River at Liberty in Liberty County, Texas, is about 0.38 m. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
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基于二维小波变换的FMI图象分割 总被引：1，自引：0，他引：1
为了从FMI资料中定量提取参数，一个重要的步骤是从实际FMI资料中分离出反映溶孔、溶洞、裂缝的子图像。本文给出的方法，考虑图像像元邻域的特征，应用二维小波变换求出目标与背景边缘的点集，按这个边缘点集的坐标点所对应的原图像像素灰度值的平均值作为分割阈值进行图像分割。实际资料处理表明，应用这种方法可以从实际的FMI资料中准确地分割出孔洞、裂缝的子图像并且可以按深度段连续自动处理，为后续定量计算参数奠定了良好基础。 相似文献
17.
《Journal of Atmospheric and Solar》2003,65(9):1021-1033
Analysis of the time series into trigonometric series allows the investigation of cosmic-ray (CR) intensity variations in a range of periodicities from a few days to 1 year. By this technique the amplitude and the phase of all observed fluctuations can be given. For this purpose, daily CR intensity values recorded at Climax Neutron Monitor station for the time intervals 1979–1982 and 1989–1991, which correspond to the epochs of maximum activity for solar cycles 21 and 22, respectively, have been studied. The data analysis revealed the occurrence of new periodicities, common or not, in the two solar maxima. A search of our results was done by a power spectral analysis determining independently possible systematic periodic or quasi-periodic variations. Based on the fact that during these maxima the CR intensity tracks the solar flare index better than the sunspot number, the same analysis was performed on these data, which are equivalent to the total energy emitted by the solar flares. Both analyses result in periodicities with different probability of occurrence in different epochs. Occurrence at peaks of 70, 56, 35, 27, 21 and 14- days were observed in all time series, while the periods of 140–154 and 105 days are reported only in the 21st solar maximum and are of particular importance. All of the short-term periods except of those at 27 and 154-days are recorded for first time in CR data, but they had already been observed in the solar activity parameters. Moreover, each parameter studied here has a very different power spectrum distribution in periods larger than 154 days. The possible origin of the observed variations in terms of the CR interaction in the upper atmosphere and the solar cavity dynamics is also discussed here. 相似文献
18.
Sub‐sample time shift and horizontal displacement measurements using phase‐correlation method in time‐lapse seismic 
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下载免费PDF全文 Hydrocarbon production and fluid injection affect the level of subsurface stress and physical properties of the subsurface, and can cause reservoir‐related issues, such as compaction and subsidence. Monitoring of oil and gas reservoirs is therefore crucial. Time‐lapse seismic is used to monitor reservoirs and provide evidence of saturation and pressure changes within the reservoir. However, relative to background velocities and reflector depths, the time‐lapse changes in velocity and geomechanical properties are typically small between consecutive surveys. These changes can be measured by using apparent displacement between migrated images obtained from recorded data of multiple time‐lapse surveys. Apparent displacement measurements by using the classical cross‐correlation method are poorly resolved. Here, we propose the use of a phase‐correlation method, which has been developed in satellite imaging for sub‐pixel registration of the images, to overcome the limitations of cross‐correlation. Phase correlation provides both vertical and horizontal displacements with a much better resolution. After testing the method on synthetic data, we apply it to a real dataset from the Norne oil field and show that the phase‐correlation method can indeed provide better resolution. 相似文献
19.
Abstract Reliable estimation of sensible heat flux (H) is important in energy balance models for quantifying evapotranspiration (ET). This study was conducted to evaluate the value of adding the Priestley-Taylor (PT) equation to the METRIC (Mapping Evapotranspiration at high Resolution with Internalized Calibration) model. METRIC was used to estimate energy fluxes for 10 Landsat images from the 2005, 2006 and 2007 crop growing seasons in south-central Nebraska, USA, where each image owing to recent rainfall exhibited high residual moisture content even at the hot pixel. The METRIC model performed satisfactorily for net radiation (Rn ) and soil heat flux (G) estimation with a root mean square error (RMSE) of 52 and 24 W m-2, respectively. A RMSE of 122 W m-2 for H indicated the limitation of the METRIC model in estimating H for high residual moisture content of the hot pixel (Alfalfa reference ET fraction, ET r F > 0.15). The modified METRIC model (wet METRIC or wMETRIC) incorporating the PT equation was applied to calculate H at the anchor pixels (hot and cold) for high residual moisture content of the hot pixel. The α coefficient of the PT equation was locally calibrated using hourly meteorological data from an automatic weather station and Rn and G data from a Bowen ratio flux tower. The mean α coefficient value was 1.14. The wMETRIC model reduced the RMSE of H from 122 to 64 W m-2 and that of latent heat flux, LE, from 163 to 106 W m-2. The RMSE of daily ET decreased from 1.7 to 1.1 mm d-1 with wMETRIC. The results indicate that treatment of anchor pixels for high residual moisture content with the PT approach gives improved estimation of H, LE and daily ET. It is recommended that the wMETRIC model be used for estimating ET if the hot pixel has high residual moisture (i.e. reference ET fraction > 0.15). Citation Singh, R. K. & Irmak, A. (2011) Treatment of anchor pixels in the METRIC model for improved estimation of sensible and latent heat fluxes. Hydrol. Sci. J. 56(5), 895–906. 相似文献
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图象重建是一个求逆过程具有不适定性。本文介绍的是一种从少数投影数据进行图象重建的线性代数法－Ｐｈｉｌｌｉｐｓ－Ｔｉｋｈｏｎｏｖ正则化方法,同时选择优化工具ＧＣＶ确定最优的正则参数。为验证该方法,我们对日本Ｙｏｈｋｏｈ卫星上塔载的硬Ｘ射线望远镜（ＨＸＴ）拍摄的太阳图象进行重建。 相似文献