Application of magnetic susceptibility anisotropy technique to the study of geological structures in the Armorican massif, France

Magnetic susceptibility anisotropy analyses have been carried out on 300 samples of rock from various metamorphosed regions of Normandy and Brittany, within the northern half of the Armorican massif, to test the ability of the magnetic fabric method (in a relatively complex region where structures have been well charted) to delineate regional structures. The two major structural directions to emerge from the study were a ENE—WSW striking magnetic foliation plane, conforming to a Variscan direction of the Bocaine syncline in the Granville region of Normandy and a ESE—WNW striking magnetic foliation plane conforming to the Armorican direction in the Chateaulin syncline region of Brittany. The magnetic fabric of sites elsewhere confirmed localised structures and minor synclinal structures.

The major advantages of the technique of studying magnetic fabric over petrofabric are the speed at which magnetic fabric can be measured (2 minutes per sample compared with up to 24 h using X-ray goniometry techniques) and the sensitivity of the magnetic fabric to very slight stresses.     

Source parameters of the Burma-India border earthquake of July 29, 1970, from body waves

The source parameters are determined for the Burma-India border earthquake of July 29, 1970, from body-wave spectra. We obtain seismic moment [ , ] · 10²⁶ dyne cm, source dimension [ ] km, radiated energy [ , −E_R (S) = 1.35] · 10²⁰ ergs and the stress drop = 11 bars.     

Some anisotropic spatially-homogeneous cosmological models with electromagnetic field

Considering Bianchi type-I metric, cosmological models of a perfect fluid with an electromagnetic field have been obtained, using a supplementary condition between the metric potentials. The four-current is either zero or space-like. The model has expanding and shearing but non-rotating fluid flow which is also geodetic. The requirement of positive conductivity imposes an additional restriction on the model. Various physical and mathematical properties of the model have been discussed.     

Geomorphological map of Bist Doab Tract,Punjab from Landsat imagery analysis

The Bist Doab Tract of Punjab is an agriculturaly important region lying between the two rivers viz: Beas and Satluj on two sides and the Siwaliks range on the third side. Landsat imagery of bands 5,7 and false colour composite covering this tract were analysed for the texture, shape, size and pattern to study the different geomorphic units developed under different geological periods and environments. The study has enabled to identify the following land form zones (i) Structural hill-Siwaliks-Z1 (ii) Table land-Z2 (iii) Upper piedmont-Z3 (iv) Lower piedmont-Z4 (v) Alluvial plain-Z5 (vi) Sandy and Saline tract-Z6 (vii) Older flood plain-Z7 (viii) Active flood plain-Z8. The resultant geomorphological map of the area has been prepared on 1: 1M scale and as such the applicability of the remotely sensed data has been found to be of immense use in the quick identification of regional geomorphic setting of the area.     

Studies of some diatomic molecules in the F- and early G-type dwarf stars

A critical analysis of CH, NH, OH, C₂, and CN molecules/radicals has been made in twenty-four F- and early G-type dwarfs at different effective temperature as well as in new constructed model atmosphere. Molecular indices of bandheads ofA-X system of CH, NH, OH, C₂, and CN have been obtained by using the data available in the literature (thirteen-colour and eight-colour photometry).Besides, some interesting plots of the molecular indices vs _eff, molecular abundances and molecular indices vs dissociation energy, reduced equivalent widths and FCF's vs dissociation energy for respective molecules have also been enumerated. It is found that the molecular indices at bandheads ofA-X system of CH, NH, OH, C₂, and CN are approximately constant (5810–6570 K). It is to be noted that the molecular indices decrease in the order OH, NH, CH, C₂, and CN at a given temperature.The dissociation equilibrium of CH, NH, OH, C₂, and CN is considered at 5810, 6570, and 7160 K phases in model atmosphere. At standard scale of abundance the molecular abundance and molecular index decrease in the order OH, NH, CH, C₂, and CN at any given phase, however, CN abundance and index increase (_eff=0.867-0.767). The amplitude of abundance and index variation decrease in the order NH, OH, CH, C₂, and CN (_eff=0.767-0.704).The reduced equivalent width decrease in the order OH, NH, CH, and C₂ and FCF's decrease in the order CH, OH, NH, CN, and C₂.The confrontation of models and observations of spectra of F- and early G-type dwarfs of parent molecules is of primary importance to investigate the physical conditions within atmospheres. Reliable excitation models are also requisite for interpreting spectroscopic observations of parent molecules and deriving molecular abundances.     

Degradation of native wheat straw lignin by Streptomyces viridosporus T7A

Lignin is one of the major contributing factors toward the recalcitrance of lignocellulosic biomass. Understanding the process of lignin degradation in natural biological processes will provide useful information to develop novel biomass conversion technologies. Functional group changes in the lignin entities during the process may contribute to the cellulose degradation (utilization) by the microorganisms. In this study, compositional and advanced Fourier transform infrared, pyrolysis gas chromatography/mass spectrometry and ¹³C cross polarization/magic angle spinning nuclear magnetic resonance analysis were performed to explore the mechanism of biodegradation of wheat straw by Streptomyces viridosporus T7A. The results indicated that S. viridosporus T7A removed lignin and hemicelluloses as indicated by the increased carbohydrate/lignin ratio. Significant modification of carbonyl and methoxyl groups in the complex lignin structure was also evident. Most importantly, the quantitative results showed that lignin degradation was featured by deduction of guaiacyl unit. The results provide new insight for understanding lignin degradation by bacteria.     

Crop Residue Discrimination Using Ground-Based Hyperspectral Data

Crop residue has become an increasingly important factor in agriculture management. It assists in the reduction of soil erosion and is an important source of soil organic carbon (soil carbon sequestration). In recent past, remote sensing, especially narrowband, data have been explored for crop residue assessment. In this context, a study was carried out to identify different narrow-bands and evaluate the performance of SWIR region based spectral indices for crop residue discrimination. Ground based hyperspectral data collected for wheat crop residue was analyzed using Stepwise Discriminant Analysis (SDA) technique to select significant bands for discrimination. Out of the seven best bands selected to discriminate between matured crop, straw heap, combine-harvested field with stubbles and soil, four bands were from SWIR (1980, 2030, 2200, 2440 nm) region. Six spectral indices were computed, namely CAI, LCA, SINDRI, NDSVI, NDI5 and hSINDRI for crop residue discrimination. LCA and CAI showed to be best (F?>?115) in discriminating above classes, while LCA and SINDRI were best (F?>?100) among all indices in discriminating crop residue under different harvesting methods. Comparison of different spectral resolution (from 1 nm to 150 nm) showed that for crop residue discrimination a resolution of 100 nm at 2100–2300 m region would be sufficient to discriminate crop residue from other co-existing classes.     

Spectral signatures of moisture-stressed wheat

One of the important parameters affecting crop yield is the availability of soil moisture to the crop. Lack of it may bring about moisture stress in plants which manifests itself in terms of changes in the spectral reflectance and emittance properties of plants. An experiment involving radiometric measurements over six wheat plots subjected to different irrigation schedules was conducted to test this hypothesis. Vegetation index defined in terms of crop reflectances in 0.6 to 0.7 and 0.8 to 1,1 micrometer bands was found to be a sensitive parameter to distinguish normal plants from moisture-stressed plants. The optimum period for the discrimination of such plants through remote sensing techniques has been indicated to be 45–80 days after sowing. The experiment also demonstrates that yield per unit area is linearly related to the maximum leaf-area index of the crop thus providing a possible method of crop yield prediction.