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Similar variations have been observed for other reservoirs and pertinent water demands (not shown).
Future water demand [50%% of the demand as projected for 2025 by WAPCOS (2010)] was rearranged to estimate pertinent water requirement from reservoirs and barrage (Table 2) for immediate near future.
Consequently, we designed this study to evaluate the linkage between the distribution of bGDGTs, their biological sources and inferred metabolic processes based on the distribution and abundance of bGDGTs, pertinent water chemistry, the nirS gene (possibly in Beta- and Gamma-proteobacteria) and available 16S rRNA (tag) gene pyrosequencing data from 37 Tibetan hot springs.
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No peaks pertinent to water or hydroxyl can be seen and resolved from the spectra; hence, the presence of water or hydroxyl and their resultant charge balance/compensation mechanisms are excluded in our films.
The use of atomic force microscopy (AFM) has been increasingly used in recent years in academic research labs to probe the surface morphology and physical properties of a wide range of surfaces at high resolution, including surfaces pertinent to water treatment processes, particularly polymer membranes.
This is especially pertinent when considering water and wastewater systems that have high, and location-dependent, variability in their design.
It was concluded that a specific parameter pertinent to NAPL-water interfacial area in the Sherwood number had to be modified to satisfactorily describe the dissolution of TCE in the presence of MNB in water.
Such information is especially pertinent in Antarctic waters that are experiencing unprecedented rates of oceanic warming (Meredith and King 2005; Whitehouse et al. 2008) and where localized collapses of exploited commercial fishes indicate high vulnerability to marked shifts in trophic relations (Kock 1992).
Empirical and semi-empirical correlations were developed for predicting the scrubbing performances as a function of pertinent variables studied in water and alkali, respectively.
Feed water conditions pertinent to flow rate, TDS (total dissolved solids), pressure, pH and temperature are correlated with recovery ratio, permeate TDS and power consumption via regression analysis.
In the context of this research, asphalt foaming quality control model using neural network was constructed to map the pertinent parameters (asphalt temperature, water content and air pressure) into the foaming properties (maximum expansion ratio and half-life time).
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