Dynamique spatio-temporelle des déplacements de macroinvertébrés dans une grande rivière

1988 ◽  
Vol 66 (2) ◽  
pp. 352-363 ◽  
Author(s):  
Bernard Cellot ◽  
Michel Bournaud

The movements of macroinvertebrates in the Rhône River were studied by using suspended artificial substrates that were immersed for 7 days at three depths near a bank and at the centre of the channel at Jons (27 km upstream of Lyon, France). Sampling was carried out monthly on an annual cycle, from December 1978 to March 1980. The 93 taxa found were distributed as follows: chironomid larvae (Diptera), 34.4%; Hydropsyche spp. (Trichoptera), 24.9%; Oligochaeta, 15.7%; Gammarus fossarum and (or) G. pulex (Crustacea), 15.0%; others, 10.0%. Correspondence analysis revealed and summarized the hierarchy of the spatio-temporal variations in fauna. The first level of variation is seasonal and shows contrasts between some summer species (e.g., Ephemerella ignita, Leuctra fusca) and the pool of organisms that subsist during winter. The second level of variation is due to seasonal hydrological conditions. The large flow rate during winter and at the beginning of the summer instigates the drift of rheolithophilous (e.g., Psychomyia pusilla) or limnophilous (Asellus aquaticus) taxa, which results in a more intense spatial homogenization of the fauna. The first increase in flow rate after a slower regime, although minor, has a "washing out" effect on the backwaters connected with the main stream (parapotamic area). On the other hand, the slower flow rate at the end of summer is favourable to some extent for some lentic taxa (Planaria), particularly near the banks. A third level of variation, less important, concerns transverse movements (between bank and channel) and the effects of emptying and cleaning the upstream reservoir.

2012 ◽  
Vol 20 (3) ◽  
pp. 356-362 ◽  
Author(s):  
Xiao-Lin YANG ◽  
Zhen-Wei SONG ◽  
Hong WANG ◽  
Quan-Hong SHI ◽  
Fu CHEN ◽  
...  

2018 ◽  
Author(s):  
Hossein Sahour ◽  
◽  
Mohamed Sultan ◽  
Karem Abdelmohsen ◽  
Sita Karki ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4566
Author(s):  
Minsoo Choi ◽  
Wongwan Jung ◽  
Sanghyuk Lee ◽  
Taehwan Joung ◽  
Daejun Chang

This study analyzes the thermodynamic, economic, and regulatory aspects of boil-off hydrogen (BOH) in liquid hydrogen (LH2) carriers that can be re-liquefied using a proposed re-liquefaction system or used as fuel in a fuel cell stack. Five LH2 carriers sailing between two designated ports are considered in a case study. The specific energy consumption of the proposed re-liquefaction system varies from 8.22 to 10.80 kWh/kg as the re-liquefaction-to-generation fraction (R/G fraction) is varied. The economic evaluation results show that the cost of re-liquefaction decreases as the re-liquefied flow rate increases and converges to 1.5 $/kg at an adequately large flow rate. Three energy efficient design index (EEDI) candidates are proposed to determine feasible R/G fractions: an EEDI equivalent to that of LNG carriers, an EEDI that considers the energy density of LH2, and no EEDI restrictions. The first EEDI candidate is so strict that the majority of the BOH should be used as fuel. In the case of the second EEDI candidate, the permittable R/G fraction is between 25% and 33%. If the EEDI is not applied for LH2 carriers, as in the third candidate, the specific life-cycle cost decreases to 67% compared with the first EEDI regulation.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Kassim S. Mwitondi ◽  
Isaac Munyakazi ◽  
Barnabas N. Gatsheni

Abstract In the light of the recent technological advances in computing and data explosion, the complex interactions of the Sustainable Development Goals (SDG) present both a challenge and an opportunity to researchers and decision makers across fields and sectors. The deep and wide socio-economic, cultural and technological variations across the globe entail a unified understanding of the SDG project. The complexity of SDGs interactions and the dynamics through their indicators align naturally to technical and application specifics that require interdisciplinary solutions. We present a consilient approach to expounding triggers of SDG indicators. Illustrated through data segmentation, it is designed to unify our understanding of the complex overlap of the SDGs by utilising data from different sources. The paper treats each SDG as a Big Data source node, with the potential to contribute towards a unified understanding of applications across the SDG spectrum. Data for five SDGs was extracted from the United Nations SDG indicators data repository and used to model spatio-temporal variations in search of robust and consilient scientific solutions. Based on a number of pre-determined assumptions on socio-economic and geo-political variations, the data is subjected to sequential analyses, exploring distributional behaviour, component extraction and clustering. All three methods exhibit pronounced variations across samples, with initial distributional and data segmentation patterns isolating South Africa from the remaining five countries. Data randomness is dealt with via a specially developed algorithm for sampling, measuring and assessing, based on repeated samples of different sizes. Results exhibit consistent variations across samples, based on socio-economic, cultural and geo-political variations entailing a unified understanding, across disciplines and sectors. The findings highlight novel paths towards attaining informative patterns for a unified understanding of the triggers of SDG indicators and open new paths to interdisciplinary research.


2014 ◽  
Vol 121 (2) ◽  
pp. 369-388 ◽  
Author(s):  
Gui-Peng Yang ◽  
Bin Yang ◽  
Xiao-Lan Lu ◽  
Hai-Bing Ding ◽  
Zhen He

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