共查询到20条相似文献，搜索用时 78 毫秒
1.
氯化锌活化法制备软锰矿——核桃壳活性炭的研究 总被引：1，自引：0，他引：1
文章对氯化锌活法制备软锰矿-核桃壳活性炭进行了研究,考察了软锰矿投加量、氯化锌浓度、活化温度、活化时间等因素对软锰矿-核桃壳活性炭碘吸附值以及比表面积的影响。结果表明:软锰矿的投加量占核桃壳质量的8%、氯化锌浓度为3mol/L、活化温度为550℃左右、活化时间为120min是最佳的制备软锰矿-核桃壳的条件;在此条件下制得的活性炭碘吸附值为1,158.05mg/g,比表面积为787.540m2/g,较未添加软锰矿的核桃壳活性炭,碘吸附值和比表面积分别提高了11.5%和22.0%。 相似文献
2.
3.
网格GIS及其在数字油田中的应用探讨 总被引：5，自引：0，他引：5
数字油田是解决当前油田智能化管理问题的最好途径。该文分析了当前油田建设中所面临的问题,结合油田在勘探开发中的实际需要,特别就当前数字油田建设中所面临的共性问题,在分析现有油田技术及发展需求的基础上,指出了基于中间件的分布式网格GIS技术是解决当前数字油田领域中所存在的问题的最佳方式,并讨论了其实现过程。 相似文献
4.
5.
采用 C18、PPL、HLB三种固相萃取材料对四川盆地普光地区一处油田卤水中的 DOM进行了富集分离并采用 FTIR和 Py-GC/MS对所分离的 DOM进行了表征。结果表明, PPL和 HLB的组合吸附剂对油田卤水 DOM的富集效率较好, C18富集效率最低。所研究油田卤水 DOM中主要含有有机酸、含硫化合物、芳香族化合物、碳水化合物、脂肪族化合物以及含氮有机物等。其中含硫有机物和有机酸所占比例较多。这可能是由于该区域海相层系中发育着多种类型的含硫物质,可通过生物地球化学作用而生成种类繁多的含硫有机物。而有机酸作为微生物生长的营养物质,又在一定程度上促进了含硫有机物的形成。通过比较发现,地质条件 /成因以及水质参数等因素都会影响油田卤水 DOM的组成特征。针对不同地域及不同形成机制的油田卤水中 DOM的结构组成做系统性研究,可为后续 DOM的有效处理提供科学依据。 相似文献
6.
油田水是沉积盆地中的重要流体,通过柴达木盆地北缘冷湖三号构造油田水水化学分析,来深入理解该地区的水化学特征并探讨其成因。研究表明,冷湖三号构造油田水的矿化程度较低且以CaCl_2型水为主,硅酸盐的溶解是油田水中的K、Mg、B、Li等元素的重要来源,而油田水中F含量的异常高值很可能与区内断裂作用有关。油田水水化学特征系数分析结果指示,冷湖三号构造油田水的演化是在较好的封闭条件和还原环境下进行的。和柴达木盆地西部相比,研究区油田水主要成分的含量低于或远低于柴达木盆地西部,K、Li、B等元素均未达到矿床的边界品位,目前尚难以利用。 相似文献
7.
8.
柴达木盆地北缘冷湖地区赋存大量深部油田水。分析结果显示,冷湖四号构造地区的油田水为CaCl_2型,具有较高Ca含量,一些成分还具有比较明显的区域分异特征。相比柴达木盆地西部,柴北缘油田水的矿化度、K、B、Li等明显偏低。油田水水化学特征系数指示了研究区地层具有良好的封闭性,主要化学组分的富集作用与浓缩作用密切相关。推测碳酸盐、硅酸盐在长期水—岩作用下的溶解对油田水主要化学成分有重要贡献,而区域断裂的发育导致少量样品中的高F含量。 相似文献
9.
探讨自来水厂与污水处理厂的各级水处理工艺与水体中合成麝香含量之间的关系,对自来水厂与污水处理厂有效去除水体中的合成麝香具有重要意义。选择珠海市的2间自来水厂与1间污水处理厂为研究对象,采用固相微萃取-气质联用(SPME-GC/MS)技术对该3间厂各级水处理工艺流程水体中的3种合成麝香:佳乐麝香(HHCB)、吐纳麝香(AHTN)与酮麝香(MK)的浓度进行检测,分析合成麝香在各级水处理工艺中的浓度变化规律,并研究合成麝香的去除效果及其浓度变化的原因。结果表明:1)合成麝香已经存在于磨刀门水道中,在自来水厂A和B的水源水中MK的浓度最高,是主要的合成麝香;2)自来水厂的水处理工艺对合成麝香有一定的去除效果,自来水厂A和B对HHCB的去除率分别为53.98%和55.95%;对AHTN的去除率分别为57.84%和59.84%;对MK的去除率分别为85.12%和78.51%;3)这3种合成麝香在污水处理厂C中均有检出,且在该污水处理厂的整个水处理工艺流程中,HHCB浓度最高,表明该污水处理厂所收集的生活污水中的主要合成麝香为HHCB;4)污水处理厂C对HHCB、AHTN和MK的去除率分别为71.96%、73.68%和94.20%。因为合成麝香属于有机微污染物且有生物富集性等特点,研究其在自来水厂与污水处理厂中的去除规律,可以为水处理工艺有效去除水体中的合成麝香提供依据。 相似文献
10.
11.
从机载LiDAR点云数据中分离地面点与非地面点生成城区DEM,是构建数字城市的首要工作。该文对机载LiDAR数据处理中的滤波关键算法进行了研究。首先,利用常用的区域增长方法对机载LiDAR点云数据进行了滤波处理,然后基于正交多项式分带滤波方法进行了点云滤波,比较了两种算法的运行效率,分析了二者的特点,并通过试验对比进行了阈值参数优选,试验表明该算法具有较好的滤波效果,在平原城区的数字城市三维建模中具有很好的应用价值。 相似文献
12.
高光谱图像滤噪处理直接影响后续分析结果的精确度乃至正确性,鉴于此,针对Hyperion高空间分辨率和高光谱分辨率的特征,在比较分析目前各种高光谱遥感数据噪声滤波方法的基础上提出一种基于粗集均值滤波的噪声滤除方法,即先用上下近似空间和门限值刻画边缘,再用均值滤波。将该方法的实验结果与常用的高光谱数据MNF噪声分离算法和低通滤波算法的结果进行比较,发现基于粗集概念的均值滤波具有较好的保边去噪效果,其误差小、光滑性好、自适应能力强以及能够较好的保留细节信息,但需要通过交互确定门限;在处理不完整性、不确定性等问题时,粗集算法比硬计算效果更好。 相似文献
13.
多山地区SAR数据的预处理是实践应用中的关键。基于GAMMA平台,研究微波遥感数据的辐射定标、多视处理、滤波、正射校正和辐射校正等预处理方法和流程,为有关研究的进一步开展提供基础数据。辐射定标使SAR图像真实地反映地面目标后向散射特性;Gamma-map滤波既能很好地平滑图像去除斑点噪声,又能很好地保持边缘和纹理细节,目视效果较好;基于DEM模拟影像的正射校正方法原理清晰,效果较好;辐射校正可以消除因地形引起的辐射畸变。 相似文献
14.
15.
This paper briefly reviews the cause of the striping and then develops a tapered (Chebwin & Kaiser) window finite impulse response (FIR) filter and a constrained least squares FIR filter by reason of the striping of ASTER satellite data . Both filters minimize the stripes in the visible data and simultaneously minimize any distortion in the filtered data. Finally, the results obtained by using these new filtering methods are quantitatively compared with those produced by other destriping methods. 相似文献
16.
SARAH C.RUTAN 《地理学报(英文版)》1990,(2)
The use of recursive filtering techniques for parameter estimation in a variety of areas is reviewed.Inparticular,the Kalman filter algorithm is described,along with several variations,including square-root,UDUT and information filters.The solution to parameter estimation problems is discussed for both linearand non-linear models.Applications described include calibration,curve resolution in spectroscopy,chromatography,electrochemistry,kinetic analysis and process monitoring. 相似文献
17.
Summary. Moment tensor inversion methods can be applied with success in the determination of source properties of simple earthquakes. However, these methods utilize the assumption of a point source, which is inadequate for modelling many complicated, shallow earthquakes. For complex earthquakes, an inversion using finite faulting models is desirable but the number of parameters involved requires that a good starting model be found or that independent constraints be placed on some of the parameters. A method is presented for low-pass filtering both the data and Green's functions, passing only signals with wavelengths greater than the dimension of the entire fault. The filter tends to smooth complications in the waveforms and allows application of the point source moment tensor inversion. This method is applied to body waves from the 1978 Thessaloniki, Greece, earthquake, the 1971 San Fernando earthquake and to a multiple-point source synthetic model of the San Fernando event. For the Thessaloniki event, although a multiple-source mechanism has been suggested, inversion results before and after filtering were essentially identical, indicating that a point source mechanism is sufficient in modelling the long-period, teleseismic body waves. In the case of the San Fernando earthquake, the point source Green's functions were incapable of simultaneously modelling the P - and SH -waves. Inversion of P -waves alone resulted in extreme parameter resolution problems, but allowed constraint in one axis of the moment tensor and suggested an overall source time function. Inversion of a synthetic San Fernando data set yielded similar results, but allowed an investigation of the shortcomings of the method under controlled circumstances. Although the results may require substantial interpretation, the method presented represents a simple first step in the analysis of complex earthquakes. 相似文献
18.
Estimation of the pole tide gravimetric factor at the chandler period through wavelet filtering 总被引：3，自引：0，他引：3
X.-G. Hu L.-T. Liu B. Ducarme H. J. Xu H.-P. Sun 《Geophysical Journal International》2007,169(3):821-829
Wavelet analysis for filtering is used to improve estimation of gravity variations induced by Chandler wobble. This method eliminate noise in superconducting gravimeter (SG) records with bandpass filters derived from Daubechies wavelet. The SG records at four European stations (Brussels, Membach, Strasbourg and Vienna) are analysed in this study. First, the earth tidal constituents are removed from the observed data by using synthetic tides, then the gravity residuals are filtered into a narrow period band of 256–512 d by a wavelet bandpass filter. These data are submitted to three regression analysis methods for estimating the gravimetric factor of the Chandler wobble. After processing by wavelet filtering, SG records can provide amplitude factors δ and phase lags κ of the Chandler wobble with much smaller mean square deviation (MSD) than these provided by former studies. It is mainly because the wavelet method can effectively eliminate instrumental drift and provide smoothed data series for the regression analysis. 相似文献
19.
L. V. PEREZ-ARRIBAS F. NAVARRO-VILLOSLADA M. E. LEON-GONZALEA L. M. POLO-DIEZ Departamento de Quimica Analiti Facultad de Ciencias Quimicas Universidad Complutense E- Madri Spain 《地理学报(英文版)》1993,(4)
The usefulness of the Kalman filter as an algorithm for calibration in a real system is shown. Results arecompared with classical least squares and pure component calibration. The prediction of four prioritypollutant chlorophenols in binary, ternary and quaternary mixtures was also carried out by Kalmanfiltering. The condition number, standard deviation and prediction error have been employed to choosethe most suitable wavelength range. Comparison of the standard error of prediction in the validation setshows significant differences between the evaluated chlorophenols, the best results being obtained withKalman multivariate calibration. 相似文献