Application of singular value decomposition (SVD) and semi-discrete decomposition (SDD) techniques in clustering of geochemical data: an environmental study in central Iran   总被引：1，自引：1，他引：0  

Hamid Zekri  Ahmad Reza Mokhtari  David R. Cohen 《Stochastic Environmental Research and Risk Assessment (SERRA)》2016,30(7):1947-1960

Common multivariate clustering techniques are ineffective in identifying subtle patterns of correlation, and clustering of variables or samples within complex geochemical datasets. This study compares the combination of singular value decomposition (SVD) and semi discrete decomposition (SDD), with that of hierarchical cluster analysis (HCA), to examine patterns within a multielement soil geochemical dataset from an agricultural area in the vicinity of Pb–Zn mining operations in central Iran. SVD was used to both identify patterns of correlation between variables and samples and to “denoise” the data, and SDD to simultaneously cluster the samples and variables. The results reveal various spatial associations of mining waste-associated metals As, Ba, Pb and Zn, and within the remaining elements whose distribution is largely controlled by the major oxides. SVD–SDD was found to be superior to HCA, in its ability to detect subtle clusters in soil geochemistry indicative of mine-related contamination in the study area.  相似文献   

Multivariate statistical analysis of deformation tensors: independent vs. correlated tensor observations     

Khosro Moghtased-Azar  Erik W. grafarend  Farokh Tavakoli  Hamid R. Nankali 《Studia Geophysica et Geodaetica》2012,56(4):977-992

In the presence of errors in measuring a random displacement field (under the normal distribution assumption of displacement field), stochastic behaviors of principal components of deformation tensors (strain tensor and tensor of change of curvature (TCC)), based on the intrinsic assumption of geometrical modeling of surface deformation analysis, are discussed. We divided the contents into two parts: In the first, we considered independent random vectors of repeated tensor measurements. In the second step, we considered correlations among repeated measurements. Then, covariance components between tensor elements by Helmert estimator, based on prior information of variance components, are estimated. As a case study, both assumptions are applied to the estimation of principal components of deformation rate tensor observations in Zagros region (Western Iran). The results of numerical analysis showed that greatest shortening is accommodated in oblique orientation (NS) with respect to the Main Recent Fault (MRF), northwest part of North Zagros, Central Iran block and MRF, respectively. Most of the extensions occurred in the east part of the belt. The pattern of eigenspace components of TCC shows highest positive values across the NW region, nearly in orthogonal direction to the MRF and Main Zagros Fault (MZF). The pattern has insignificant values in the Central Zagros. It takes the significant negative values across the SW part, especially along the SPF and Persian Gulf shore. The effect of non-independent observations on the estimation of eigenspace components of deformation tensors (strain tensor and TCC) shows that the estimation of covariance components has influence on the confidence intervals of eigenspace components, especially in seismically active regions of the belt (along the Persian Gulf shore, NW of the belt and region between the Central Iran block and MRF). The results demonstrate the importance of considering the correlation structure among the observations on statistical behavior of principal components of deformation tensors in seismically active regions.  相似文献   

胡杨和灰杨的叶绿素荧光参数及茎水势对塔克拉玛干沙漠腹地生境的响应     

韩炜  海米提·依米提  李利  李生宇  郑婷婷 《中国沙漠》2011,31(6):1472-1478

通过测定胡杨（Populus euphratica）、灰杨（Populus pruinosa）叶绿素荧光参数和茎水势,研究了二者成龄叶片样本的电子传递和光能的吸收、分配和耗散对塔克拉玛干沙漠腹地生境的适应特征。结果表明,无论清晨弱光下还是正午强光下,胡杨茎水势均比灰杨低,胡杨具有更强的吸水能力;在光合有效辐射不十分高的晴天内,胡杨的光系统Ⅱ的电子传递速率ETR对时间的积分面积大于灰杨,表明胡杨的日能量积累量大于灰杨;胡杨的非光化学淬灭系数NPQ呈单峰状,灰杨呈双峰态,正午的光合有效辐射对灰杨造成了一定程度的光抑制;午后14时（光合有效辐射最大,PAR=1216 μmo·m-2·s-1）,胡杨Y(NO)∶Y(NPQ)∶Y(Ⅱ)=18%∶50%∶32%,主动耗散能量的比例占到50%,表现了极强的抗性,而灰杨3者比例为Y(NO)∶Y(NPQ)∶Y(Ⅱ)=16%∶19%∶65%,通过提高主动散热（NPQ机制）比例,胡杨较灰杨具有更强的强光适应能力。胡杨与灰杨皆可通过提高激发能热耗散比例适应较高光合有效辐射,但胡杨较灰杨具有更强的调节能力和抗性。  相似文献   

Stochastic modeling of Iranian earthquakes and estimation of ground motion for future earthquakes in Greater Tehran     

Hamid Zafarani  Assadollah NoorzadAnooshirvan Ansari  Khosro Bargi 《Soil Dynamics and Earthquake Engineering》2009

Strong-motion data from eight significant well-documented earthquakes in Iran have been simulated using a stochastic modeling technique for finite faults proposed by Beresnev and Atkinson [Bull Seismol Soc Am 87 (1997) 67–84; Seism Res Lett 69 (1998) 27–32]. The database consists of 61 three-component records from eight earthquakes of magnitude ranging from M 6.3 to M 7.4, recorded at hypocentral distances up to 200 km. The model predictions are in good agreement with available Iranian strong-motion data as evidenced by near-zero average of differences between logarithms of the observed and predicted values for all frequencies. The strength factor, sfact, a quantity that controls the high-frequency radiation from the source is determined, on an event-by-event basis, by fitting simulated to observed response spectra.  相似文献   

An In‐Depth Characterization of Urban Aerosols Using Electron Microscopy and Energy Dispersive X‐Ray Analysis     

Haider A. Khwaja  Pravin P. Parekh  Adil R. Khan  Daniel L. Hershey  Ronaq R. Naqvi  Abdul Malik  Khalid Khan 《洁净——土壤、空气、水》2009,37(7):544-554

The physical and chemical characterization of aerosols from three large cities, Karachi and Islamabad, Pakistan, and New York City (NYC), USA, was investigated. A scanning electron microscope equipped with an energy dispersive spectrometer (EDS) was used to determine particle morphology and elemental composition of the samples. A Bruker Spirit system in combination with a Sahara detector provided both computer controlled Automated Chemical Classification (ACC) and digital mapping features for analysis purposes. The use of these two features to characterize the elemental composition, particle size, and to determine specific classes or source types is described in this paper. Filters were analyzed for the following elements; Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Br, Sr, Y, Zr, Mo, Pd, Ag, Cd, In, Sn, Sb, Ba, La, Au, Hg, Tl, Pb, and U. The EDS work was qualitative not quantitative. Seven source types (mobile, cement, soil, steel mill, fossil fuel, sea salt and biological) contributed to particulate matter in the ambient air of both cities in Pakistan, whereas there were eight source types (diesel, road dust, automobile, iron, residual fuel oil, sea salt, ammonium sulfate and ammonium nitrate) for NYC. For all three urban centers, vehicular traffic emissions were the main contributor to particle number. Diesel emissions from trucks and buses were relatively more prominent in NYC aerosols, while gasoline emission from automotive exhaust was dominant in the two cities of Pakistan. The cement/limestone component from local cement industries was very evident in both particle surface characteristics and number for both Karachi and Islamabad, but not in NYC air. Sea salt aerosols were seen in the two coastal cities, Karachi and NYC. It was also witnessed in Islamabad aerosols and was attributable to the mining of rock salt at the world's richest salt mine, Khewra, situated upwind from the city.  相似文献   

Correction of highly noisy strong motion records using a modified wavelet de-noising method     

Anooshiravan Ansari  Asadollah Noorzad  Hamid Zafarani  Hessam Vahidifard 《Soil Dynamics and Earthquake Engineering》2010

During the past earthquakes, many valuable acceleration time histories were recorded by analog and digital accelerometers. These records are important sources of information in the field of earthquake engineering and engineering seismology. However, a large number of these records are contaminated by noise and it is necessary to correct them for practical applications. On the other hand, only a few records can be corrected using conventional filtering because of mathematical limitations of the method. However, advances in the field of time–frequency analysis and wavelet transform theory provide useful non-linear and adaptive de-noising methods for removing of non-stationary and high-energy noise from the recorded signals. In this paper, the characteristics and capabilities of the modified non-linear adaptive wavelet de-noising method are examined for correction of highly noisy strong motion records. In the frequency domain, it is shown that this method can attenuate the noise in the whole frequency range of engineering interest while in the time domain it can detect and remove non-stationary noise. In addition, the displacement response spectra of these wavelet de-noised records are more stable than conventional filtered records with respect to different correction functions. It is found that a large number of noisy acceleration records that are usually discarded from sets of records used for estimating the ground motions can be corrected using this new method.  相似文献   

The first electric field pulse of cloud and cloud-to-ground lightning discharges     

Noor Azlinda Ahmad  M. Fernando  Z.A. Baharudin  M. Rahman  V. Cooray  Ziad Saleh  Joseph R. Dwyer  Hamid K. Rassoul 《Journal of Atmospheric and Solar》2010,72(2-3):143-150

In this study, the first electric field pulse of cloud and cloud-to-ground discharges were analyzed and compared with other pulses of cloud discharges. Thirty eight cloud discharges and 101 cloud-to-ground discharges have been studied in this analysis. Pulses in cloud discharges were classified as ‘small’, ‘medium’ and ‘large’, depending upon the value of their relative amplitude with respect to that of the average amplitude of the five largest pulses in the flash. We found that parameters, such as pulse duration, rise time, zero crossing time and full-width at half-maximum (FWHMs) of the first pulse of cloud and cloud-to-ground discharges are similar to small pulses that appear in the later stage of cloud discharges. Hence, we suggest that the mechanism of the first pulse of cloud and cloud-to-ground discharges and the mechanism of pulses at the later stage of cloud discharges could be the same.  相似文献   

Long-period eccentricity control on sedimentary sequences in the continental Madrid Basin (middle Miocene,Spain)   总被引：1，自引：0，他引：1  

Hemmo A. Abels  Hayfaa Abdul Aziz  Wout Krijgsman  Sander J.B. Smeets  Frederik J. Hilgen 《Earth and Planetary Science Letters》2010,289(1-2):220-231

The middle Miocene Valdearenas–Muduex section in the internally-drained, continental Madrid Basin (central Spain) is dated bio-magnetostratigraphically between 15.2 Ma and 11.5 Ma. The section contains two formation-scale, sedimentary sequences, that both consist of a siliciclastic lower part and a calcareous upper part. Siliciclastic sedimentation took place in distal floodplain and fluvial environments, while limestones resulted from carbonate precipitation in calcic soil profiles and in ephemeral lacustrine water bodies. Spectral analysis of the L* colour time series points to the influence of the ～ 405-kyr and 0.97-Myr eccentricity cycles, while the bases of the two calcareous intervals correlate to successive minima of the 2.4-Myr eccentricity cycle. The 405-kyr cycle lags maximum eccentricity, whereas the 0.97 and 2.4-Myr cycles lag minimum eccentricity, each by approximately a quarter of a cycle. No obliquity forcing is detected. The observed orbital configuration of 2.4-Myr minima at the base of limestone-dominated intervals is similar to a previously documented Late Miocene shift in the Teruel Basin of northeast Spain. Our results indicate that long-period eccentricity climate forcing may well be a significant player on long, tectonic time scales in continental basin fill.  相似文献   

Factors encouraging sustainability integration into institutions of higher education     

K. S. Chiong  Z. F. Mohamad  A. R. Abdul Aziz 《International Journal of Environmental Science and Technology》2017,14(4):911-922

In view of the mountainous evidence on destruction of environmental quality and societal well-being as a consequence of rapid economic development, sustainability has gained vast attention from the community and industrial players. Tertiary education is a platform through which sustainability can be inculcated within the society as it imparts knowledge and provides various trainings. There has been extensive research on factors that encourage sustainability integration into Institutions of Higher Education in the last decade. However, majority of the previous publications only discuss one or two factors exclusively and there is no literature that summarizes and discusses such factors in a collective manner. This paper provides an overview of the main factors that encourage sustainability integration into Institutions of Higher Education in the last decade. It aims at providing a one-stop reference for future researchers who need a reference on factors that encourage sustainability integration into Institutions of Higher Education, especially those who are interested in conducting a progressive research in this context. Accordingly, a review of relevant publications from year 2000 and above was conducted and it was found that there are generally eight main factors, which encourage sustainability integration into Institutions of Higher Education, which are: (1) integration into curricula; (2) suitable pedagogy; (3) campus management; (4) research; (5) opportunities provision; (6) availability of social capital; (7) awareness level; and (8) community outreach. There is no indicator on the impact level of these factors, and thus, it is suggested that relevant research can be conducted in future.  相似文献   

Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network   总被引：1，自引：0，他引：1  

Mohamad Javad Alizadeh  Hosein Shahheydari  Mohammad Reza Kavianpour  Hamid Shamloo  Reza Barati 《Environmental Earth Sciences》2017,76(2):86

The longitudinal dispersion coefficient is a key element in determining the distribution and transmission of pollution, especially when cross-sectional mixing is completed. However, the existing predictive techniques for this purpose exhibit great amounts of uncertainty. The main objective of this study is to present a more accurate model for predicting longitudinal dispersion coefficient in natural rivers and streams. Bayesian network (BN) approach was considered in the modeling procedure. Two forms of input variables including dimensional and dimensionless parameters were examined to find the best model structure. In order to increase the performance of the model, the clustering method as a preprocessing data technique was applied to categorize the data in separate groups with similar characteristics. An expansive data set consisting of 149 field measurements was used for training and testing steps of the developed models. Three performance evaluation criteria were adopted for comparison of the results of the different models. Comparison of the present results with the artificial neural network (ANN) model and also well-known existing equations showed the efficiency of the present model. The performance of dimensionless BN model 30% is more than dimensional ones in terms of the root mean square error. The accuracy criterion was increased from 70 to 83% by performing clustering analysis on the BN model. The BN-cluster model 43% is more accurate than ANN model in terms of the accuracy criterion. The results indicate that the BN-cluster model give 16% better results than the best available considered model in terms of the accuracy criterion. The developed model provides a suitable approach for predicting pollutant transport in natural rivers.  相似文献