Paleomagnetic Analysis Of A Long-Term Sediment Trap, Kooken Cave, Huntingdon County, Pennsylvania, USA

2007 ◽  
pp. 71-81 ◽  
Author(s):  
Ira. D. Sasowsky ◽  
Rebecca A. Clotts ◽  
Bryan Crowell ◽  
Selena M. Walko ◽  
Edward J. LaRock ◽  
...  
Keyword(s):  
2001 ◽  
Vol 15 (14) ◽  
pp. 2797-2819 ◽  
Author(s):  
Gert Verstraeten ◽  
Jean Poesen

2020 ◽  
Vol 8 ◽  
Author(s):  
Gerhard Fischer ◽  
Susanne Neuer ◽  
Simon Ramondenc ◽  
Thomas J. Müller ◽  
Barbara Donner ◽  
...  

2004 ◽  
pp. 71-81 ◽  
Author(s):  
Ira D. Sasowsky ◽  
Rebecca A. Clotts ◽  
Bryan Crowell ◽  
Selena M. Walko ◽  
Edward J. LaRock ◽  
...  
Keyword(s):  

2004 ◽  
Vol 49 (3) ◽  
pp. 839-849 ◽  
Author(s):  
Moritz F. Lehmann ◽  
Stefano M. Bernasconi ◽  
Alberto Barbieri ◽  
Marco Simona ◽  
Judith A. McKenzie

2021 ◽  
Vol 38 (1) ◽  
pp. 65-74
Author(s):  
Romesh Kumar ◽  
AHSAN UL HAQ ◽  
G M Bhat ◽  
Yudhbir Singh ◽  
Javid Ahmed Dar

 The field investigation of the reservoir area of Baglihar Hydropower project shows that the sediment budget to the reservoir is controlled by fragile rock type like shales, sandstones, phyllites and slates, soil characteristics, steep hill slopes, rainfall and landslides. The rocks are highly weathered, fissile and micaceous in nature and very sensitive to water absorption.  The analysed sediments are characterised by dominance of sands, silts and clays with lower values of plasticity (14.3PL), liquidity (23.5 LL), cohesion (118) and shear strength (202 Kpa). The slope wash deposits are highly susceptible to landslides and slope failures and directly contribute to the sediment budget in the reservoir. In addition tributaries of Chenab River also bring sediments in the reservoir from the catchment area. The empirical relationship for estimating the long-term reservoir trap efficiency for large storage based on correlation between the relative reservoir size and trap efficiency was simulated in 3D model which shows that the annual sediment trap efficiency of the Baglihar reservoir is of 0.39%. The extrapolation of the calculated values shows that the total sediment load shall increase by 11% in the next 30 years and 20% in the next 50 years and correspondingly 40% in the next 100 years that shall induce corresponding decrease in the reservoir volume over the time.  By applying flushing schemes, life span of the reservoir can be extended. It is estimated that after 100 years the reservoir shall lose ~35.6% storage volume. On further extrapolation, the trap efficiency will decrease from 25.5% after 30 years to 23% after 100 years. The estimated trap efficiency of Baglihar reservoir is 60%, which is greater than that based on numerical results, showing a significant overestimation.


Plants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2394
Author(s):  
Tatiana A. Belevich ◽  
Irina A. Milyutina ◽  
Aleksey V. Troitsky

This survey is the first to explore the seasonal cycle of microbial eukaryote diversity (<3 µm) using the NGS method and a 10-month sediment trap (2018–2019). The long-term trap was deployed from September to June in the northwestern part of the Kara Sea. A water sample collected before the sediment trap was deployed and also analyzed. The taxonomic composition of microbial eukaryotes in the water sample significantly differed from sediment trap samples, characterized by a high abundance of Ciliophora reads and low abundance of Fungi while trap samples contained an order of magnitude less Ciliophora sequences and high contribution of Fungi. Photosynthetic eukaryotes (PEs) accounting for about 34% of total protists reads were assigned to five major divisions: Chlorophyta, Cryptophyta, Dinoflagellata, Haptophyta, and Ochrophyta. The domination of phototrophic algae was revealed in late autumn. Mamiellophyceae and Trebouxiophyceae were the predominant PEs in mostly all of the studied seasons. Micromonas polaris was constantly present throughout the September–June period in the PE community. The obtained results determine the seasonal dynamics of picoplankton in order to improve our understanding of their role in polar ecosystems.


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