نتایج جستجو برای: کد sand ii

تعداد نتایج: 613779  

1999
H. A. Makse

Many sedimentary rocks are formed by migration of sand ripples. Thin layers of coarse and fine sand are present in these rocks, and understanding how layers in sandstone are created has been a longstanding question. Here, we propose a mechanism for the origin of the most common layered sedimentary structures such as inverse graded climbing ripple lamination and cross-stratification patterns. Th...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2017
Adam D Hargreaves Long Zhou Josef Christensen Ferdinand Marlétaz Shiping Liu Fang Li Peter Gildsig Jansen Enrico Spiga Matilde Thye Hansen Signe Vendelbo Horn Pedersen Shameek Biswas Kyle Serikawa Brian A Fox William R Taylor John Frederick Mulley Guojie Zhang R Scott Heller Peter W H Holland

The sand rat Psammomys obesus is a gerbil species native to deserts of North Africa and the Middle East, and is constrained in its ecology because high carbohydrate diets induce obesity and type II diabetes that, in extreme cases, can lead to pancreatic failure and death. We report the sequencing of the sand rat genome and discovery of an unusual, extensive, and mutationally biased GC-rich geno...

2014
Abdulwaheed Musa Saad O. Bashir Aisha H. Abdalla

Electromagnetic wave propagation in arid and semi-arid regions is influenced by sand and dust storms. Meagre information has hitherto been reported as to the effect of storms on telecommunication systems operating in such regions. This paper presents a survey of current understanding of the wave propagation during storms. In this first part of the review—Part I, detailed parametric assessment o...

2012
Matthew R. Halstead Sangjin Lee James Petrosky Abigail Bickley Paul Sokol

The energy spectrum of the Neutron Radiation Effects Program (NREP) beam line, Target-ModeratorReflector-1 (TMR-1), at Indiana University has not been previously characterized. The facility has a unique proton source with variable pulse length (15-600 s) and energy (13 MeV). Thus, it can produce a unique and tailored neutron beam when incident on a beryllium target. Through a combination of MCN...

2013
M. Justin Wilkinson

Megafans (100-600 km radius) are very large alluvial fans that cover significant areas on most continents, the surprising finding of recent global surveys. The number of such fans and patterns of sedimentation on them provides new mesoscale architectures that can now be applied on continental fluvial depositional systems, and therefore on . Megafan-scale reconstructions underground as yet have ...

Journal: :Chemosphere 2006
Blanca Antizar-Ladislao Noah I Galil

The aim of this research was to investigate the long-term hydraulic conductivity changes in sand-bed columns exposed to 2,4,6-trichlorophenol (TCP). Continuous flow laboratory studies were conducted using sand-bed columns (15 cm i.d.; 200 cm length) at 20+/-1 degrees C during 365 d. The influence of (i) initial loads of 2,4,6-TCP (15, 30, 45 and 60 mg kg(-1) of 2,4,6-TCP), and (ii) recirculatin...

2009
A K Mahur Rajesh Kumar D Sengupta Rajendra Prasad

Chhatrapur beach placer deposit, situated in a part of the eastern coast of Orissa, is a newly discovered high natural background radiation area (HBRA) in India. The sand samples containing heavy minerals, were collected from Chhatrapur region by the grab sampling method at an interval of ~ 1 Km. Radon exhalation rates were measured by "Sealed Can Technique" using LR-115 type type II in the san...

Journal: :Sustainability 2023

The adsorption characteristics of calcareous sand for heavy metals Pb(II), Cu(II) and Cd(II) have been studied by batch testing in this study. influence the solid–liquid ratio, initial pH0 value, ionic strength, reaction time, temperature concentration on has investigated. Test results indicate that pH ratio a significant removal efficiency. At T = 30 °C, r 1.0 g/L, C0 1000 mg/L 12 h reaction, ...

2017
Neil J. Jennings Robert D. Seager ROBERT D. SEAGER

2012
Yogesh Aggarwal Paratibha Aggarwal

The paper presents a comparative performance of the models developed to predict 28 days compressive strengths using neural network techniques for data taken from literature (ANN-I) and data developed experimentally for SCC containing bottom ash as partial replacement of fine aggregates (ANN-II). The data used in the models are arranged in the format of six and eight input parameters that cover ...

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