Extraction of the oxygen from the desalinated water in nitron fibre production

1978 ◽  
Vol 10 (2) ◽  
pp. 195-196
Author(s):  
M. G. Bol'shakova ◽  
L. I. Smirnova ◽  
G. M. Sitnikov ◽  
L. B. Yakushkin
1976 ◽  
Vol 7 (6) ◽  
pp. 598-603
Author(s):  
N. L. Kuz'mina ◽  
Z. I. Burlyuk ◽  
L. V. Rachinskii ◽  
B. �. Geller

1978 ◽  
Vol 9 (5) ◽  
pp. 499-502
Author(s):  
M. G. Bol'shakova ◽  
G. M. Mikheeva ◽  
A. �. Fridberg ◽  
L. B. Yakushkin ◽  
G. M. Sitnikov

1975 ◽  
Vol 6 (3) ◽  
pp. 321-323
Author(s):  
I. S. Rabinovich ◽  
L. P. Khomutova

2018 ◽  
Vol 17 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Shakhawat Chowdhury

Abstract Desalinated seawater is the major source of drinking water in many countries. During desalination, several activities including pretreatment, desalination, stabilization, mixing, storage and distribution are performed. Few disinfectants are used during these activities to control the biofouling agents and microbiological regrowth. The reactions between the disinfectants and natural organic matter (NOM), bromide and iodide form disinfection by-products (DBPs) in product water. The product water is stabilized and mixed with treated freshwater (e.g., groundwater) to meet the domestic water demands. The DBPs in desalinated and blend water are an issue due to their possible cancer and non-cancer risks to humans. In this paper, formation and distribution of DBPs in different steps of desalination and water distribution systems prior to reaching the consumer tap were reviewed. The variability of DBPs among different sources and desalination processes was explained. The toxicities of DBPs were compared and the strategies to control DBPs in desalinated water were proposed. Several research directions were identified to achieve comprehensive control on DBPs in desalinated water, which are likely to protect humans from the adverse consequences of DBPs.


2021 ◽  
Vol 13 (2) ◽  
pp. 233
Author(s):  
Ilja Vuorinne ◽  
Janne Heiskanen ◽  
Petri K. E. Pellikka

Biomass is a principal variable in crop monitoring and management and in assessing carbon cycling. Remote sensing combined with field measurements can be used to estimate biomass over large areas. This study assessed leaf biomass of Agave sisalana (sisal), a perennial crop whose leaves are grown for fibre production in tropical and subtropical regions. Furthermore, the residue from fibre production can be used to produce bioenergy through anaerobic digestion. First, biomass was estimated for 58 field plots using an allometric approach. Then, Sentinel-2 multispectral satellite imagery was used to model biomass in an 8851-ha plantation in semi-arid south-eastern Kenya. Generalised Additive Models were employed to explore how well biomass was explained by various spectral vegetation indices (VIs). The highest performance (explained deviance = 76%, RMSE = 5.15 Mg ha−1) was achieved with ratio and normalised difference VIs based on the green (R560), red-edge (R740 and R783), and near-infrared (R865) spectral bands. Heterogeneity of ground vegetation and resulting background effects seemed to limit model performance. The best performing VI (R740/R783) was used to predict plantation biomass that ranged from 0 to 46.7 Mg ha−1 (mean biomass 10.6 Mg ha−1). The modelling showed that multispectral data are suitable for assessing sisal leaf biomass at the plantation level and in individual blocks. Although these results demonstrate the value of Sentinel-2 red-edge bands at 20-m resolution, the difference from the best model based on green and near-infrared bands at 10-m resolution was rather small.


Author(s):  
Khalidatul Athirah Khalid ◽  
Vijayaletchumy Karunakaran ◽  
Norfahana Abd-Talib ◽  
Khairul Faizal Pa’ee ◽  
Woei Yenn Tong ◽  
...  

1980 ◽  
Vol 11 (6) ◽  
pp. 517-519
Author(s):  
N. F. Ivanova ◽  
G. V. Zhukova ◽  
N. N. Fedotova

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