Fig 1.
Abundances of different phyla in the 33 activated sludge (AS) samples.
The abundance is presented in terms of percentage in total effective bacterial sequences in a sample.
Fig 2.
The seasonal variation of abundances of Proteobacteria.
The abundance is presented in terms of percentage in total effective bacterial sequences in each sample.
Fig 3.
Principal coordinates analysis (PCoA) of 33 activated sludge (AS) samples by Bray-Curtis similarity coefficient.
It was measured via 3% cutoff OTUs information. The dots were signed with different colors according to sampling seasons.
Table 1.
Analysis of Similarity Statistics (ANOSIM) test for significant differences between quarterly groupings in AS overall microbial community compositions.
A priori grouping strategy was based on the result of principal coordinates analysis (PCoA).
Fig 4.
Redundancy analysis (RDA) of OTUs data and measurable variables in all samples.
The arrows represent environmental parameters. The length of the arrows indicates the strength of the correlations and the angle of the arrows indicates the direction of variable increment. The triangles represent the species. The dots represent the samples.
Fig 5.
Plot of the modeled versus measured BOD (a), SS (b), NH4+-N (c), TN (d), and TP (e) concentration in effluent from the validation tests. The dashed line on each plot fits for the ideal “y = x” line which means the model perfectly fits the data set.
Table 2.
Optimized support vector regression (SVR) models for effluent prediction in terms of BOD, SS, NH4+-N, TN and TP (all with microbial community compositions as inputs).
Table 3.
Sensitivity rank of top 10 input variables in support vector regression (SVR).