A Combined Remote Sensing–Numerical Modelling Approach to the Stability Analysis of Delabole Slate Quarry,Cornwall, UK     

Mohsen Havaej  John Coggan  Doug Stead  Davide Elmo 《Rock Mechanics and Rock Engineering》2016,49(4):1227-1245

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Textural relations,P-T path,polymetamorphism and also geodynamic significance of metamorphic rocks of the Aligudarz-Khonsar region,Sanandaj-Sirjan zone,Iran     

Somaye Karimi  Seyed Mohsen Tabatabaei Manesh 《Petrology》2016,24(1):100-115

The metamorphic rocks of the Aligudarz-Khonsar region can be divided into nine groups: slate, phyllite, sericite schist, biotite-muscovite schist, garnet schist, garnet-staurolite schist, staurolite schist, mylonitic granite, and marble. In this metamorphic region, four phases of metamorphism can be identified (dynamothermal, thermal, dynamic and retrograde metamorphism) and there are three deformation phases (D1, D2 and D3). Paleozoic pelagic shales experienced prograde metamorphism and polymetamorphism from the greenschist to amphibolite facies along the kyanite geotherm. The metapelites show prograde dynamothermal metamorphism from the greenschist to amphibolite facies. Maximum degree of dynamothermal metamorphism is seen in the Nughan bridge area. Also development of the mylonitic granites in the Nughan bridge area shows that dynamic metamorphism in this area was more intense than in other parts of the AligudarzKhonsar metapelitic zone. The chemical zoning of garnets shows three stages of growth and syn-tectonic formation. With ongoing metamorphism, staurolite appeared, and the rocks reached amphibolite facies, but the degree of metamorphism did not increase past the kyanite zone. Thus, metamorphism of the pelitic sediments occurred at the greenschist to amphibolite facies (kyanite zone). Thermodynamic studies of these rocks indicate that the metapelites in the Aligudarz-Khonsar region formed at 490–550°C and 0.47–5.6 kbar.  相似文献   

A New Component Scattering Model Using Polarimetric Signatures Based Pattern Recognition on Polarimetric SAR Data     

Mohsen Jafari  Yasser Maghsoudi  Mohammad Javad Valadan Zoej 《Journal of the Indian Society of Remote Sensing》2016,44(3):297-306

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A hybrid computational intelligence method for predicting dew point temperature     

Mohsen Amirmojahedi  Kasra Mohammadi  Shahaboddin Shamshirband  Amir Seyed Danesh  Ali Mostafaeipour  Amirrudin Kamsin 《Environmental Earth Sciences》2016,75(5):415

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Multivariate statistical approach to identify metal contamination sources in agricultural soils around Pb–Zn mining area,Isfahan province,Iran     

Mohsen Nekoeinia  Reza Mohajer  Mohammad Hassan Salehi  Omran Moradlou 《Environmental Earth Sciences》2016,75(9):760

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Erratum to: Numerical modeling of flow due to consolidation of mine waste tailings     

Mojtaba Nosrati  Emad Ghazavi Baghini  Mohammad Mohsen Toufigh 《Arabian Journal of Geosciences》2016,9(7):495

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Database extension for digital soil mapping using artificial neural networks     

Mohsen Bagheri Bodaghabadi  José A. Martínez-Casasnovas  I. Esfandiarpour Borujeni  M. H. Salehi  J. Mohammadi  N. Toomanian 《Arabian Journal of Geosciences》2016,9(18):701

Cost and time are the two most important factors conditioning soil surveys. Since these surveys provide basic information for modelling and management activities, new methods are needed to speed the soil-mapping process with limited input data. In this study, the polypedon concept was used to extend the spatial representation of sampled pedons (point data) in order to train artificial neural networks (ANNs) for digital soil mapping (DSM). The input database contained 97 soil profiles belonging to 7 different soil series and 15 digital elevation model (DEM) attributes. Pedons were represented in raster format as one-cell areas. The corresponding polypedons were then spatially represented by neighbouring raster cells (e.g. 2 × 2, … up to 6 × 6 cells). The primary database contained 97 pedons (97 cells) that were extended up to 3492 cells (in the case of 6 × 6-cell regions). This approach employed test and validation areas to calculate the respective accuracies of data interpolation and extrapolation. The results showed increased accuracies in training and interpolation (test area) but a poor level of accuracy in the extrapolation process (validation area). However, the overall precision of all predictions increased considerably. Using only topographic attributes for extrapolation was not sufficient to obtain an accurate soil map. To improve prediction, other soil-forming factors, such as landforms and/or geology, should also be considered as input data in the ANN. The proposed method could help to improve existing soil maps by using DSM results in areas with limited soil data and to save time and money in soil survey work.  相似文献   

Hydrochemical Characteristics and Sodification of Groundwater in the Shirin Sou, Hamedan, Western Iran     

Mohsen Jalali 《Natural Resources Research》2012,21(1):61-73

Salinity and sodicity of groundwater are the principal water quality concerns in irrigated areas of arid and semi-arid regions. The hydrochemical characteristics and sodicity of groundwater in the Shirin Sou area, western Iran were investigated in this study by chemical analyses of groundwater samples from 49 wells. Chemical analysis of the groundwater showed that the mean concentration of the cations was in the order: Na⁺ > Ca²⁺ > Mg²⁺ > K⁺, while that for anions was SO₃ ²⁻ > Cl⁻ > HCO₃ ⁻ > NO₃ ⁻. The most prevalent water type is Na–SO₄ followed by water types Na–Cl and Ca–SO₄. The chemical evolution of groundwater is primarily controlled by water–rock interactions: mainly weathering of aluminosilicates, dissolution of sulfate minerals, and cation exchange reactions. Sulfate dissolution and pyrite weathering may both contribute to the SO₄ ²⁻ load of the groundwater. High Na⁺ concentrations in groundwater participate in ion-exchange processes, resulting in the displacement of base cations into solution and raised concentrations in groundwater. The principal component analysis (PCA) performed on groundwater identified three principal components controlling variability of groundwater chemistry. Electrical conductivity, Ca²⁺, Mg²⁺, Na⁺, SO₄ ²⁻, and Cl⁻ content were associated in the same component (PC1) (salinity), most likely linked to anthropogenic activities.  相似文献   

Time-domain two-dimensional site response analysis of non-homogeneous topographic structures by a hybrid BE/FE method     

Mohsen Kamalian  Mohammad Kazem Jafari  Abdollah Sohrabi-bidar  Arash Razmkhah  Behrouz Gatmiri   《Soil Dynamics and Earthquake Engineering》2006,26(8):753-765

In this paper, an advanced formulation of the time-domain, two-dimensional hybrid finite element–boundary element method (FEM/BEM) is presented, and applied to carry out site response analysis of homogeneous and non-homogeneous topographic structures subjected to incident in-plane motions. Seismic responses of half-plane, horizontally layered site, alluvial valley and ridge sections subjected to incident P and SV waves are analyzed in order to demonstrate the applicability and efficiency of the presented method. The numerical results show that hybrid BE/FE methods require smaller time steps than those needed by BEM schemes. They also show that in case of surface irregularities with height to half-width ratio of up to one, the topography effect could be noticeable, if incident waves have wavelengths of less than approximately eight times the width.  相似文献   

Crustal shear velocity structure across the Dead Sea Transform from two-dimensional modelling of DESERT project explosion seismic data   总被引：3，自引：0，他引：3  

J. Mechie  K. Abu-Ayyash  Z. Ben-Avraham  R. El-Kelani  A. Mohsen  G. Rümpker  J. Saul  M. Weber 《Geophysical Journal International》2005,160(3):910-924

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