Assessment of relationship of braiding intensities with stream power and bank erosion rate through Plan Form Index (PFI) method: a study on selected reaches of the upstream of Ganga river near Malda district, West Bengal, India

2020 ◽  
Vol 6 (6) ◽  
Author(s):  
Samrat Majumdar ◽  
Sujit Mandal
Author(s):  
Sumitra Kirtania ◽  
Pintulal Mondal ◽  
Mahesh Sawata Khetmalis

<div><p><em>The aim of this study is to identify the Anthropometric and profiles of sub-Junior National level Boxers and also to find out the relationship of Anthropometric profiles and psychomotor abilities of the sub-Junior National level Boxers.</em><em> </em><em>A total 22 female Boxers (11 medalists and 11 non-medalists) age range between 12<sup>th</sup> to 16<sup>th</sup> years will be select from SAI, SAG, Imphal centers. Selected Anthropometric variables (Body composition) will be taken on each Boxer. Total Psychomotor ability scores (Speed, Agility, Differentiation, Orientation, Balance, Rhythm Ability) will be taken. For interpretation of data a comparative analysis of the selected variable, the “t” test was applied. The data of both groups were collected separately for all the variables. Statistic such as mean and standard deviation was computed. The level of significance was set at 0.05. It was found that in BMI, BMR do not have significant deference between the Manipur and West Bengal female Boxers and significant deference was found on Speed, Agility, Differentiation, Orientation, Balance, Rhythm Ability.</em></p></div>


2021 ◽  
Author(s):  
Qi Guo ◽  
Zhanli Wang

&lt;p&gt;Sheet erosion has been the major erosion process on steep grassland since the Grain-for-Green project was implemented in 1999 in the Loess Plateau with serious soil erosion, in China. Quantifying sheet erosion rate on steep grassland could improve soil erosion estimation on loess hillslopes and provide scientific support for effectively controlling soil erosion and rationally managing grassland. Simulated rainfall experiments were conducted on grassland plot with vegetation coverage of 40% under complete combination of rainfall intensities of 0.7, 1.0, 1.5, 2.0 and 2.5 mm min&lt;sup&gt;-1&lt;/sup&gt; and slope gradients of 7&amp;#176;, 10&amp;#176;, 15&amp;#176;, 20&amp;#176; and 25&amp;#176;. Results showed that sheet erosion rate (&lt;em&gt;SE&lt;/em&gt;), varying from 0.0048 to 0.0578 kg m&lt;sup&gt;-2&lt;/sup&gt; min&lt;sup&gt;-1&lt;/sup&gt;, was well described by binary power function equation (&lt;em&gt;SE&lt;/em&gt; = 0.0026 &lt;em&gt;I&lt;/em&gt;&lt;sup&gt;1.306&lt;/sup&gt;&lt;em&gt;S&lt;/em&gt;&lt;sup&gt;0.662&lt;/sup&gt;) containing rainfall intensity and slope gradient with &lt;em&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/em&gt; = 0.940. The logarithmic equation of shear stress (&lt;em&gt;SE&lt;/em&gt; = 0.084 + Ln (&lt;em&gt;&amp;#964;&lt;/em&gt;)) and the power function equation of stream power (&lt;em&gt;SE&lt;/em&gt; = 1.141 &lt;em&gt;&amp;#631;&lt;/em&gt;&lt;sup&gt;1.073&lt;/sup&gt;) could be used to predict sheet erosion rate. Stream power (&lt;em&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/em&gt; = 0.903) was a better predictor of sheet erosion than shear stress (&lt;em&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/em&gt; = 0.882). However, predictions based on flow velocity, unit stream power, and unit energy were unsatisfactory. The stream power was an excellent hydrodynamic parameter for predicting sheet erosion rate. The sheet erosion process of grassland slope was also affected by the raindrop impact except the dynamic action of sheet flow. The combination of stream power and rainfall kinetic energy (&lt;em&gt;KE&lt;/em&gt;) among different rainfall physical parameters had the most closely relationship with the sheet erosion rates, which is also better than the stream power only, and a binary power function equation (&lt;em&gt;SE&lt;/em&gt; = 0.221 &lt;em&gt;&amp;#969;&lt;/em&gt;&lt;sup&gt;0.831&lt;/sup&gt;&lt;em&gt;KE&lt;/em&gt;&lt;sup&gt;0.416&lt;/sup&gt;) could be used to predict sheet erosion rate on grassland slope with &lt;em&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/em&gt; = 0.930. The study results revealed the dynamic mechanism of the sheet erosion process on steep grassland in the loess region of China.&lt;/p&gt;


Clay Minerals ◽  
1969 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Bibhuti Mukherjee ◽  
M. G. Rao ◽  
C. Karunakaran

The mineral phases and the distribution of major, minor and trace elements in the clays and bed rocks of two bore-holes at Adda and Chaubatta of the Birbhum area have revealed an intimate relationship of the kaolin-rich clays with the bed-rock of Adda. The possibility of a common origin for the clay deposits at Chaubatta, lying close to the Rajmahal trap formations, and at Adda, lying close to the Archaean boundary, has been inferred from trace element distribution and other factors. A genetic relationship of the clay deposit at Adda with the bed-rock, altered Archaean gneiss, has been established, but there is no significant relationship of the Chaubatta clay deposit with its bed-rock, the weathered basalt.The lateritic cappings above the kaolin-rich clays of Adda and Chaubatta areas are explained as being formed from kaolinite in the weathering sequence as the end-product of intensive desilication under conditions of intensive leaching and increasing acidity near the surface.


Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1881
Author(s):  
Takuya Inoue ◽  
Jagriti Mishra ◽  
Kazuo Kato ◽  
Tamaki Sumner ◽  
Yasuyuki Shimizu

Here, we provide a numerical model that assigns an identification number to trace sediments and also identify the source of sediment supply. We analyze the efficacy of our model by reproducing the reach-scale field observations from flooding events in 2010 and 2016 that affected Kyusen Bridge over the Bebetsu River, Hokkaido, Japan. Our simulation results can successfully reproduce and trace the formation of bars caused by sediment supply in the study region. Our study also suggests a strong relationship between bank erosion rate, sediment supply and flow-discharge. The bank erosion rate is higher when sediment supply increases, and bank erosion reduces as flow discharge goes down. The model can also replicate the changes in a bed concerning sediment supply and was used to reproduce the bridge-abutment failure caused by the 2016 flooding with large sediment supply and the bridge-pier failure caused by the 2010 flooding with less sediment supply.


Author(s):  
Shailendra Kumar Mishra ◽  
Doyel Dasgupta ◽  
Subha Ray

Abstract Objective: The present study aims to understand the relationship of socioeconomic characteristics, menstrual hygiene practices and gynaecological problems among adolescent girls residing in rural and urban areas in the state of West Bengal, India. Methods: The study was based on a sample of 715 adolescent girls from rural (325) and urban (390) areas of West Bengal, a state in Eastern India. These girls belong to the Bengali-speaking Hindu community. Data on socioeconomic characteristics, menstrual hygiene practices (such as type of absorbents used and mode of cleaning of genitals during days of menstrual discharge) and gynaecological problems were collected using pretested questionnaires. Results: Rural and urban girls differ (p<0.01) for age at menarche, menstrual hygiene practices and prevalence of gynaecological problems. Urban girls have better menstrual hygiene practices (β=0.343, p<0.01) than rural girls. A similar trend is noted for gynaecological problems (β=0.080, p<0.01) among the study participants. Apart from socioeconomic characteristics, menstrual hygiene (β=–0.121, p<0.01) remains a significant predictor of gynaecological problems. The results of path analysis also indicate that girls of higher socioeconomic status have better menstrual hygiene practices which subsequently reduce the prevalence of gynaecological problems among them. Conclusion: A concerted effort from parents, educational institutions and existing healthcare institutions along with media may ensure safe and secure reproductive health prospects for adolescents in the region.


2020 ◽  
Vol 17 (5) ◽  
pp. 1096-1105
Author(s):  
Mohammad Mehdi Hosseinzadeh ◽  
Saeedeh Matsh Beyranvand ◽  
Reza Esmaili
Keyword(s):  

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