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1.
The true potential energy curves for the electronic ground states of astrophysically important AlH and CaH molecules are constructed by the Rydberg-Klein-Rees method. Empirical potential functions, of three-parameters by Lippincott, of five-parameters by Hulburt and Hirsch-felder and, of electronegativity by Szöke and Baitz, are examined for the adequacy to represent the true curve. From the best-fitting function, the dissociation energiesD 0 0 of AlH and CaH molecules are estimated to be 2.99 ± 0.08 and 2.72 ± 0.06 eV respectively. The force constants indicate that these values are of correct magnitude. 相似文献
2.
From the wave refraction diagrams it is delineated that the Jaigad Head and Warori Bluff are the zones of wave energy convergence and the Narvan and Ambwah bays the areas of wave energy divergence. The presence of two distinct mineral phases noticed at the Jaigad, Ambwah and Varvade bays shows that there are two different circulations of sediment movements. The presence of natural barriers restricts the movement of sediment along the coast. The sand bar at the mouth of the Jaigad Bay has different orientations during the monsoon and non-monsoon periods causing obstruction to navigation during the former period. 相似文献
3.
The Franck-Condon factors and r-centroids, which are very closelyrelated to relative vibrational transition probabilities, have beenevaluated by the more reliable numerical integration procedure forthe bands of c
1 - a
1 and f
1 - a
1 systems of CN
+ and C
2 +
u- X
2 +
g and D
2 g- A
2 u systems of N
+
2 molecular ions of astrophysical interest,using a suitable potential. 相似文献
4.
Distribution of arsenic and mercury in subtropical coastal beachrock,Gulf of Mannar,India 总被引：1，自引：0，他引：1
J Dajkumar Sahayam N Chandrasekar S Krishna Kumar G Victor Rajamanickam 《Journal of Earth System Science》2010,119(1):129-135
An assessment of coastal pollution was made on the basis of trace element concentrations (arsenic — As, mercury — Hg) in the
Gulf of Mannar. The beachrock samples were collected along the coastal tracts between Rameswaram and Kanyakumari. The samples
were dried and digested to determine the As and Hg using atomic absorption spectrophotometer (AAS-air-acetylene and nitrous
oxide method). The As and Hg accumulation status of the beachrock was assessed using geo-accumulation index values (I
geo). The accumulation of As and Hg in the beachrock ranges from 2.75 to 20.72 μg g−1 and from 0.06 to 0.31 μg g−1, respectively. The As and Hg concentrations in the beachrocks are compared with crustal average values and average of other
region sediments. The possible source of the contamination is from atmospheric deposition and anthropogenic activities. 相似文献
5.
V J Loveson A R Gujar R Barnwal Richa Khare G V Rajamanickam 《Journal of Earth System Science》2014,123(6):1375-1385
In this study, results of GPR profiling related to mapping of subsurface sedimentary layers at tsunami affected Karaikal beach are presented . A 400 MHz antenna was used for profiling along 262 m stretch of transect from beach to backshore areas with penetration of about 2.0 m depth (50 ns two-way travel time). The velocity analysis was carried out to estimate the depth information along the GPR profile. Based on the significant changes in the reflection amplitude, three different zones are marked and the upper zone is noticed with less moisture compared to other two (saturated) zones. The water table is noticed to vary from 0.5 to 0.75 m depth (12–15 ns) as moving away from the coastline. Buried erosional surface is observed at 1.5 m depth (40–42 ns), which represents the limit up to which the extreme event acted upon. In other words, it is the depth to which the tsunami sediments have been piled up to about 1.5 m thickness. Three field test pits were made along the transect and sedimentary sequences were recorded. The sand layers, especially, heavy mineral layers, recorded in the test pits indicate a positive correlation with the amplitude and velocity changes in the GPR profile. Such interpretation seems to be difficult in the middle zone due to its water saturation condition. But it is fairly clear in the lower zone located just below the erosional surface where the strata is comparatively more compact. The inferences from the GPR profile thus provide a lucid insight to the subsurface sediment sequences of the tsunami sediments in the Karaikal beach. 相似文献
6.
P. Sriramachandran S. P. Bagare N. Rajamanickam K. Balachandrakumar 《Solar physics》2008,252(2):267-281
High-resolution Fourier Transform Spectrometer sunspot umbral spectra of the National Solar Observatory/National Optical Astronomy
Observatory at Kitt Peak were used to detect rotational lines from 19 electronic transition bands of the molecules LaO, ScO
and VO, in the wavenumber range of 11 775 to 20 600 cm−1. The presence of lines from the following transitions is confirmed: A
2
Π
r1/2 – X
2
Σ
+(0, 0; 0, 1), A
2
Π
r3/2 – X
2
Σ
+(1, 0), B
2
Σ
+ – X
2
Σ
+(0, 0; 0, 1; 1, 0) and C
2
Π
r1/2 – A′2Δ
r3/2(0, 0; 1, 1) of LaO; A
2
Π
r3/2 – X
2
Σ
+(0, 0), A
2
Π
r1/2 – X
2
Σ
+(0, 0) and B
2
Σ
+ – X
2
Σ
+(0, 0) of ScO; and C
4
Σ
− – X
4
Σ
−(0, 1; 1, 0; 0, 2) and (2, 0) of VO. However, the presence of A
2
Π
r3/2 – X
2
Σ
+(0, 0) and C
2
Π
r3/2 – A′2Δ
r5/2(0, 0; 1, 1) of LaO and C
4
Σ
− – X
4
Σ
−(0, 0) of VO are found to be doubtful because the lines are very weak, and detections are difficult owing to heavy blending
by strong rotational lines of other molecules. Equivalent widths are measured for well-resolved lines and, thereby, the effective
rotational temperatures are estimated for the systems for which the presence is confirmed. 相似文献
7.
The cross-shore profile and the textural distribution of foreshore sediments of Ganpatipule beach along Maharashtra coast covering two annual cycles are examined. Ganpatipule beach depicts erosion and accretion of the berm, reduction and widening of foreshore widths during the monsoon (June–September) and post-monsoon (October–May), respectively with net sediment accretion during the study period due to the changes in the wave characteristics. A direct correlation is observed between the median sediment grain size and beach-face slopes signifying high wave energy ensuing to a gentle to very gentle slope. The sediments are mainly medium grain size, moderately well sorted, bimodal, very fine skewed to very coarse skewed and very platykurtic to very leptokurtic in nature. The binary plots of the textural parameters (mean, skewness, kurtosis, and standard deviation) depicted a characteristic beach environment of deposition. The study shows that the sediment is concentrated in the environment of rolling and bottom suspension. The study on grain size distribution of sediments could be used to assess the wave energy condition prevailing along the coastal area. 相似文献
8.
9.
This paper deals with the landslide susceptibility zonation of Tevankarai Ar sub-watershed using weighted similar choice fuzzy
method in a GIS environment. There has been a rapid increase in landslide occurrences in the Kodaikkanal town and area surrounding
the town specially in the settlements around the town and road links leading to and from the town. This necessitates a detailed
study of slope instability problems in this area. It is observed that these incidences occur frequently during the monsoon
and summer showers. Rainfall is identified as the prime triggering factor. Eleven physical factors that cause instability
are identified as causative factors from the field investigations and landslide occurrences. Land use pattern, slope gradient,
curvature and aspect, weathering index which are evaluated from the weathering ratios of different chemical constituents of
the three major lithological variations, soil type, hydraulic conductivity of soil and soil thickness, geomorphology, drainage,
and lineament have been utilized to prepare the spatial variation. A weighted similar choice fuzzy model which ranks a set
of alternatives by identifying the similarity between the outcome of alternatives and outcome of ideal alternatives is used
to rank the causative factors. Each causative factor is classified into sub-categories and rated based on their effect on
stimulating the landslide event using qualitative judgment derived from field studies and landslide history. The prepared
thematic maps of causative factors are integrated, utilizing the GIS software Arcmap. The outcome has projected the low, moderate,
high, and very high landslide susceptibility zones. The high-hazard and very high-hazard areas fall in the northwestern part
characterized by croplands and agricultural plantations, while the moderate hazard zones are seen in prominent settlements
and low-hazard zones are observed in the sparse settlements and zones of less agricultural activity. The model is verified
using the relative landslide density (R) index, and the susceptibility map is found to be consistent with the mapped landslide
incidences. The results from this study illustrate that the use of weighted similar choice fuzzy method is suitable for landslide
susceptibility mapping on regional scale in growing hill towns as Kodaikkanal town. 相似文献
10.
GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis 总被引：5，自引：0，他引：5
Landslide susceptibility mapping is the first step in regional hazard management as it helps to understand the spatial distribution of the probability of slope failure in an area.An attempt is made to map the landslide susceptibility in Tevankarai Ar subwatershed,Kodaikkanal,India using binary logistic regression analysis.Geographic Information System is used to prepare the database of the predictor variables and landslide inventory map,which is used to build the spatial model of landslide susceptibility.The model describes the relationship between the dependent variable(presence and absence of landslide) and the independent variables selected for study(predictor variables) by the best fitting function.A forward stepwise logistic regression model using maximum likelihood estimation is used in the regression analysis.An inventory of 84 landslides and cells within a buffer distance of 10m around the landslide is used as the dependent variable.Relief,slope,aspect,plan curvature,profile curvature,land use,soil,topographic wetness index,proximity to roads and proximity to lineaments are taken as independent variables.The constant and the coefficient of the predictor variable retained by the regression model are used to calculate the probability of slope failure and analyze the effect of each predictor variable on landslide occurrence in thestudy area.The model shows that the most significant parameter contributing to landslides is slope.The other significant parameters are profile curvature,soil,road,wetness index and relief.The predictive logistic regression model is validated using temporal validation data-set of known landslide locations and shows an accuracy of 85.29 %. 相似文献