Organic solvents, ultrafiltration, and solid-phase extraction (SPE) are commonly used methods for protein precipitation [ 103].
Although satisfactory streamflow simulations were generated with each precipitation input model, the results of our study indicate that parameter uncertainty varied significantly depending upon the method used for precipitation data-set generation.
This study develops a spatial interpolation method for daily precipitation that considers both spatial discontinuities and the influence of topography.
Evaluation results show that the SCIT-based rainfall approach performs better than the simple RT-based method for all precipitation events in terms of score comparison using validation gauge measurements as references.
Given the temporal discontinuity of satellite coverage and limited ground-based observation resources, we propose a method for siting precipitation stations in conjunction with satellite-based rainfall sensors to maximize the total spatial-temporal coverage of weighted demand in a continuous observation period.
The results show that the proposed method is effective for precipitation station configuration optimization, and the model solution achieves higher coverage than the real-world deployment.
Environmnent Canada (EC) prefers to use Gumbel distribution with the method of moments (MOM) for precipitation analysis.
Among these two methods cold acetone precipitation method was found more suitable for precipitation which gives 12 fold more yield than the ammonium sulphate precipitation.
The most widely used methods for SPIONs' synthesis are co-precipitation, precipitation in different types of microemulsions, sol-gel synthesis, hydrothermal synthesis, electrochemical deposition, sonochemical method, and thermal decomposition [ 12, 13].
However, the classical statistical models and methods may not be appropriate for precipitation, which exhibits peculiar behaviors including Hurst Kolmogorov dynamics and multifractality.
