scholarly journals Wave drag by two-dimensional mountain lee waves

MAUSAM ◽  
2021 ◽  
Vol 57 (4) ◽  
pp. 591-596
Author(s):  
NARESH KUMAR ◽  
NASEEM AHMAD ◽  
S. K. ROY BHOWMIK ◽  
H. R. HATWAR

lkj & Å¡pkbZ ds lkFk ok;q ds jsf[kdh; :Ik ls c<+us vkSj fLFkjrk dks vifjorZuh; ekurs gq, f}foeh; ioZrh; vojks/k esa fLFkj Lrfjr ok;q&izokg okys jsf[kdh; nzoLFkSfrd  fun’kZ dk bl 'kks/k&i= esa mi;ksx fd;k x;k gSA vle&cekZ dh igkfM+;ksa ds vkSj Hkkjr ds if’peh ?kkV ds ioZrh; ok;qjks/k vkSj ioZrh; vfHkokgksa ds fo’ys"k.kkRed vk¡dM+s izkIr fd, x, gSaA vle&cekZ dh igkfM+;ksa ds nksuksa fjtksa ds ioZrh; ok;qjks/k ds lkekU; vk¡dM+s Hkh izkIr fd, x, gaSA  A linear hydrostatic model of a stably stratified air-stream flow over a two-dimensional orographic barrier is considered assuming wind increases linearly with height and stability is constant. Analytical expressions for mountain drags and momentum fluxes are obtained for Assam-Burma hills as well as Western Ghats of India. The general expression for mountain drag also obtained for both the ridges of Assam-Burma hills.

2011 ◽  
Vol 10 (1) ◽  
pp. 25-31
Author(s):  
Naresh Kumar ◽  
M. Mohapatra ◽  
B. P. Yadav

A two- layer model has been developed assuming a steady, non- rotating and frictionless flow of vertically unbounded Boussinesq fluid across 2-D profile of Western Ghats of India. Further, it is assumed that lower layer is inviscid with neutral stability (N=0) and upper layer has constant static stability with respect to height, given by N= Constant (where N is Brunt- Väisälä frequency). The analytical expressions for vertical velocities and mountain drag have been derived across Western Ghats of India. It is found that vertical velocities are dependent on the characteristics like size and height of ridge as well as plateau region to the eastern side of the Western Ghats. However, the mountain drag is not dependent on the above characteristics of the plateau region to the east of Western Ghats confirming the earlier findings.


Author(s):  
ES Abhilash ◽  
Brijesh Sathian

Bentinckia condapanna shows more IVI values and there by dominance and ecological stress in both the sites, that is, in sparsely distributed habitats as well as in dominated habitats (Site-II). Major associations /co dominance to Bentinckia condapanna in site -I were the evergreen species like Macaranga peltata, Elaeocarpus tuberculatus, Lannea coromandelica, Schefflera venulosa etc. and for site-II was the secondary species Chionanthus ramiflorus. Higher IVI values for Bentinckia condapanna in both the sites proves the capacity of this species to establish in mono-dominant and co- dominant communities. DOI: http://dx.doi.org/10.3126/apjeesd.v1i1.9503Asia Pacific Journal of Environment Ecology and Sustainable Development 2013; 1: 6-9


2018 ◽  
pp. 14-18
Author(s):  
V. V. Artyushenko ◽  
A. V. Nikulin

To simulate echoes from the earth’s surface in the low flight mode, it is necessary to reproduce reliably the delayed reflected sounding signal of the radar in real time. For this, it is necessary to be able to calculate accurately and quickly the dependence of the distance to the object being measured from the angular position of the line of sight of the radar station. Obviously, the simplest expressions for calculating the range can be obtained for a segment or a plane. In the text of the article, analytical expressions for the calculation of range for two-dimensional and three-dimensional cases are obtained. Methods of statistical physics, vector algebra, and the theory of the radar of extended objects were used. Since the calculation of the dependence of the range of the object to the target from the angular position of the line of sight is carried out on the analytical expressions found in the paper, the result obtained is accurate, and due to the relative simplicity of the expressions obtained, the calculation does not require much time.


2020 ◽  
Vol 1 (1) ◽  
pp. 33-41
Author(s):  
S. A. Saldaña-Mendoza ◽  
J. A. Ascacio-Valdés ◽  
A. S. Palacios-Ponce ◽  
J. C. Contreras-Esquivel ◽  
R. Rodríguez-Herrera ◽  
...  

Ecology ◽  
2011 ◽  
Vol 92 (6) ◽  
pp. 1376-1376 ◽  
Author(s):  
Raphaël Pélissier ◽  
Jean-Pierre Pascal ◽  
N. Ayyappan ◽  
B. R. Ramesh ◽  
S. Aravajy ◽  
...  

2021 ◽  
pp. 111564
Author(s):  
Madhankumar Dhakshinamoorthy ◽  
Ponnusamy SenthilKumar ◽  
Udaya Prakash Nyayiru Kannaian ◽  
Bhuvaneswari Srinivasan ◽  
Sripriya Nannu Shankar ◽  
...  

Landslides ◽  
2021 ◽  
Author(s):  
Sansar Raj Meena ◽  
Omid Ghorbanzadeh ◽  
Cees J. van Westen ◽  
Thimmaiah Gudiyangada Nachappa ◽  
Thomas Blaschke ◽  
...  

AbstractRainfall-induced landslide inventories can be compiled using remote sensing and topographical data, gathered using either traditional or semi-automatic supervised methods. In this study, we used the PlanetScope imagery and deep learning convolution neural networks (CNNs) to map the 2018 rainfall-induced landslides in the Kodagu district of Karnataka state in the Western Ghats of India. We used a fourfold cross-validation (CV) to select the training and testing data to remove any random results of the model. Topographic slope data was used as auxiliary information to increase the performance of the model. The resulting landslide inventory map, created using the slope data with the spectral information, reduces the false positives, which helps to distinguish the landslide areas from other similar features such as barren lands and riverbeds. However, while including the slope data did not increase the true positives, the overall accuracy was higher compared to using only spectral information to train the model. The mean accuracies of correctly classified landslide values were 65.5% when using only optical data, which increased to 78% with the use of slope data. The methodology presented in this research can be applied in other landslide-prone regions, and the results can be used to support hazard mitigation in landslide-prone regions.


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