• 沒有找到結果。

Porosity and interior structure of flocculated activated sludge floc

N/A
N/A
Protected

Academic year: 2021

Share "Porosity and interior structure of flocculated activated sludge floc"

Copied!
8
0
0

加載中.... (立即查看全文)

全文

(1)

www.elsevier.com/locate/jcis

Porosity and interior structure of flocculated activated sludge floc

H.Y. Chung and D.J. Lee

Chemical Engineering Department, National Taiwan University, Taipei 10617, Taiwan Received 6 December 2002; accepted 27 June 2003

Abstract

This work estimated the porosities of activated sludge flocs, cationic polyelectrolyte flocculated, based on free-settling tests, buoyant weight measurements, and confocal laser scanning microscope (CLSM) tests. The extent of advective flow was estimated based on bubble-tracking test. The former two measurements suggested a close-to-unity porosity, that is, an extremely void floc interior. Meanwhile, the latter two tests recommended a dense floc interior with a porosity less than 64%. A discrepancy exists between the porosities estimated by various tests. A floc model was proposed based on the understanding that a vast amount of bound water in the floc was regarded as void in buoyant weight measurement, but was impermeable for advective flow. The distribution rather than the mean value of the porosity controls the advective flow. There existed no simple correlation between the porosities measured by different tests.

2003 Elsevier Inc. All rights reserved.

Keywords: Porosity; Free-settling; Buoyant weight; Floc structure; Bubble-tracking; CLSM; Floc model

1. Introduction

Floc size and density are two of the factors that most in-fluencing the performance of floc processes. A free-settling test has been widely employed to estimate these two fac-tors [1]. Sludge flocs are recognized as fractal-like objects in which pores of all sizes (less than that of the floc and greater than that of the primary particles) exist [2–5]. Following a proposal by Lee [6], Wu et al. [7] experimentally demon-strated the fractals-in-fractals structures of sludge flocs. Re-stated, how primary particles constitute a microfloc presents the first architectural level (local structure), and the way the microflocs network into the entire floc forms the second level of floc structure (global structure).

The structure of the floc interior controls the extent of advective flow, and hence the corresponding hydrodynamic drag force during settling [8]. Several authors [9–12] com-prehensively reviewed this topic. The ease of the advective flow through the floc affects the flocculation efficiencies of fine particles in suspension [13–15]. Chellam and Wiesner [16] and Veerapanchi and Wiesner [17] revealed that the extent of advective flow through floc depends on the parti-cle packing characteristics. Tsou et al. [18,19] employed the

* Corresponding author.

E-mail address: [email protected] (D.J. Lee).

bubble-tracking technique to estimate the extent of advective flow through the waste activated sludge floc.

A common practice for estimating floc porosity is to ob-serve a floc of diameter df falling freely at terminal velocity of V (m/s) in a pool of liquid. Based on the force balance between the buoyant and the hydrodynamic drag force the floc density could be estimated as

(1) ρf − ρ =

3ρΩCD

4dfg V2,

where ρf (kg/m3) and ρ (kg/m3) are the floc density and the water density, respectively; CD (–) is the drag coeffi-cient; Ω (–) is the correction factor to the advective flow; and g (m/s2), the gravitational acceleration. The density dif-ference, or the effective floc density, relates the floc porosity to the mass balance expression,

(2) 1− ε =ρf− ρ

ρm− ρ ,

where ρmis the solid density (kg/m3). Taking df = 634 µm, V = 1.15 mm/s, Ω = 1 (no advective flow), CD = 34/Re (a commonly adopted expression proposed by Tambo and Watanabe [20]), and ρ and ρm as 1000 and 1450 kg/m3, respectively, ε is calculated as 0.995, a very porous floc inte-rior. This value, in most cases, appears unreasonably high since visual observation normally suggests a not-so-loose floc interior [21].

0021-9797/$ – see front matter 2003 Elsevier Inc. All rights reserved. doi:10.1016/S0021-9797(03)00682-9

(2)

We need detailed information on floc porosity to better understand the sludge processes involving flocs. This work conducted free-settling tests on the flocculated floc. Then the buoyant weight of floc was measured by hanging it on an elastic stick and observing the resulting stick deformation under gravity. The floc structure and the content of advec-tive flow were then explored using fluorescent in situ hy-bridization (FISH) and confocal laser scanning microscopy (CLSM) [22] and a bubble-tracking technique [18,19], re-spectively. The discrepancy between the porosities measured by different tests was demonstrated and a floc model was proposed to interpret the experimental findings.

2. Experimental 2.1. The sample

Waste activated sludge was taken from the Min-Sheng Municipal Wastewater Treatment Plant in Taipei, was grav-itationally settled to a solid content of 15,000 mg/l, and was the testing sample for the present test. The pH value of the sludge was approximately 6.2. The chemical oxygen de-mand (COD) for the sludge was 24,400 mg/l, obtained from a direct reading spectrometer (DR/2000, HACH, USA). The COD for the filtrate of sludge sample after filtering through a 0.45-µm membrane was termed the soluble COD (SCOD); it read 510 mg/l for the original sludge. The elemental compo-sitions of the dried sample were C: 34.3%, H: 5.5%, and N: 5.5%, using elemental analyzer (Perkin–Elmer 2400 CHN). The dry solid density of the sludge was measured by an Accupyc Pycnometer 1330 (Micromeritics) as 1450 kg/m3 (ρm).

The cationic flocculant, a polyacrylamide indicated as polymer T-3052, was obtained from Kai-Guan Inc., Taiwan. The polymer T-3052 has an average molecular weight of 10 MDa and a charge density of 20%. The polymer solution was gradually poured into the mixing vessel containing fresh sludge samples with 200 rpm of stirring for 5 min (rapid mix) followed by 50 rpm of another 20 min (slow mix). Based on filterability tests (data not shown), the “optimal” dose of polyelectrolyte for the present sludge was 160 ppm. 2.2. Floc settling test

Figure 1 demonstrates the apparatus of the free-settling test. A glass cylinder (6 cm in diameter and 50 cm in height), sectioned on a side with an attaching plane view glass, was used for a floc-settling test. A JVC camera equipped with a close-up lens was used to record the floc motion. A flat plate was installed in the centerline of the settling column. A floc is released carefully from the top of the column. If the floc did not move along the central line, it would be screened out, while only the one just moving along the centerline could pass. The floc diameter is taken as the equivalent diameter of the projection area of the floc. From the position versus

Fig. 1. Experimental setup.

time data the floc terminal speed can be found by numerical differentiation and data smoothing.

2.3. Floc weight measurement

The mass of individual flocs is very small, for instance, around 3 mg for a floc of diameter 2000 µm, giving a buoy-ant weight of approximately 30 µg (see later). A commer-cial electronic balance cannot measure such a tiny buoyant weight of floc.

We hung the floc on an elastic nylon stick (Sunko, Japan) of diameter 148 µm and length 2 mm, respectively. Figure 2a reveals a polystyrene sphere of diameter 1888 µm for the sake of comparison. Figure 2b demonstrates a microphoto-graph of flocculated floc at 160 ppm polyelectrolyte, which looks bulky and dense in interior.

Figure 3 schematically demonstrates the stick deforma-tion measurement. The displacement of the stick was mea-sured using a digital camera, JAI 950 1/3 (JAI, 210 pixels in 1 mm), equipped with a close-up lens (MML2-110D). Within the linearly elastic regime the stick deformation is proportional to the applied force; that is,

(3) Y = (1/E)FS,

where Y (m) is the displacement of stick. The polystyrene (PS) sphere demonstrated in Fig. 1 of size 1888 µm and density 1060 kg/m3, giving a buoyant force in water at 25◦C of 2.17 × 10−6 N, was used to calibrate the ap-plied force. The proportionality constant E was estimated as 1.78× 10−3 N/m. With the assistance of Eq. (3) the buoy-ant weight of the floc could be estimated. A buoybuoy-ant weight of 30 mg could yield a displacement of 0.2 mm, which could be correctly measured using the present apparatus.

(3)

(a)

(b)

Fig. 2. Microphotographs of the testing samples. (a) Polystyrene (PS) sphere of diameter 1888 µm; (b) sludge floc.

Fig. 3. The schematic for the measurement of the floc density.

2.4. Bubble-tracking test

We employed the bubble-tracking technique modified from Tsou et al. [18,19] to estimate the extent of advective flow through the floc. Figure 1 also depicts the schematic of the bubble-tracking testing apparatus. A glass tank (10 cm (L)× 10 cm (W) × 50 cm (H)) was used for observa-tion. A floc, hung on the above-mentioned elastic stick, was placed normal to the tank wall. Close to the tank bottom a platinum wire of diameter 35 µm was hung just across the centerline of the tank as the cathode, which was connected to a pulse generator (Bubble Generator, MN-305, Sugawara, Japan). The anode was allocated near the top of the tank,

which thereby would not interfere with the floc motion. The pulse generator produced electrical pulses with intervals of 5 ms; chains of tiny hydrogen bubbles were yielded and rose from the cathode. The images, scanned from a window of size 3× 2.3 mm or 5 × 3.7 mm, were recorded and sent con-tinuously to a workstation. The cross-sectional area of the floc and the Feret diameter along the horizontal axis (Fx) and along the vertical axis (Fy) were recorded. The center of the floc was allocated at the midpoint of the two Feret diameters. The centers and sizes of the rising bubbles were determined using their cross-sectional area and the center of mass data. Tracing the centers of all rising bubbles, the indi-vidual bubble velocity (Vb) could be obtained as a function of time. The extent of advective flow through the sludge floc could be estimated accordingly [18].

2.5. Confocal laser scanning microscope

The present work employed a CLSM (OLYMPUS BX50) equipped with an image processor (OLYMPUS FV5 PSU) and an argon laser source to stimulate the fluorescence. The sludge floc was imaged with a 10× objective with the software FLUOVIEW version 3.0. The microscope scanned the samples at fixed depth and digitized the images ob-tained.

Sludge flocs for CLSM analysis were first fixed with 3% paraformaldehyde in phosphate-buffered saline (PBS). Then the fixed sample was embedded in low-melting-point agar (with melting point of 75◦C and gelling point of 38◦C) for the fluorescent in situ hybridization (FISH). In this study, we used the probes EUB338 (labeled by rhodamine) and ARCH915 (labeled by tetrachlorofluorescein) for detection of members of the domain Bacteria with a high cellu-lar ribosome content and those that cannot be detected by EUB338 [23]. The stained samples were washed three times to remove extra probes by hybridization buffer solution.

3. Results and discussion 3.1. Free-settling test

Figure 4 illustrates microphotographs of a floc moving in the settling tube. Its terminal velocity (V ) was measured as 5.43 mm/s. The floc is apparently not perfectly spherical. To incorporate the shape effect we adopted the concept of equivalent diameter, which is defined as the equivalent diam-eter of a circle that exhibits the same area as the projection area of the floc. The result is 1820 µm. The correspond-ing Reynolds number is thereby estimated as 9.9, beyond the creeping-flow regime. Table 1 lists the settling velocity data.

Based on the commonly adopted Eq. (1) with Ω= 1 and CD= 34/Re, the floc densities and porosities could be esti-mated and are also listed in Table 1. As demonstrated in the

(4)

Fig. 4. Free settling of a floc flocculated at 160-ppm polyelectrolyte. Frame interval= 0.07 s. df= 1820 µm; V = 5.43 mm/s; Re = 9.9. Table 1

Estimated floc densities and porosities based on free-settling test

(a) df V (ρf− ρ)a Porosityb (µm) (mm/s) (kg/m3) (–) 1 1850 5.43 4.1 0.99 2 1740 4.88 4.2 0.99 3 1820 5.81 4.6 0.99 4 2020 6.05 3.9 0.99 5 1980 5.90 3.9 0.99 6 1660 4.49 4.2 0.99 7 1710 5.28 4.7 0.99 8 2220 6.80 3.6 0.99 9 1800 5.29 4.2 0.99

aBuoyant density estimated using Eq. (1) with Ω= 1 and C

D= 34/Re.

b Porosity estimated using Eq. (2) with ρ

m= 1450 kg/m3.

pertinent literature, the floc density is close to that of water and its porosity is extremely high: 0.98–0.99.

3.2. Buoyant floc porosity

Table 2 lists the measured stick deformation for five flocculated, unfrozen flocs. Over the floc size range 1820– 2010 mm, the stick deformation was 0.058–0.206 mm, giv-ing a buoyant weight of 10–37 µg. These tiny flocs allowed no direct measurement with a commercial electronic bal-ance.

Based on the buoyant weight listed and the densities of solids and water we can calculate the porosity based on mass

Table 2

Estimated floc densities and porosities based on stick deformation measure-ment (160-ppm flocculated sludge flocs)

df Y Buoyant weight (ρf − ρ)a Porosityb

(µm) (mm) (µg) (kg/m3) (–) 1820 0.206 37.4 12 0.97 1930 0.160 29.1 7.7 0.98 2010 0.074 13.5 3.2 0.99 1740 0.058 10.6 3.8 0.99 2010 0.124 22.6 5.3 0.98

a Buoyant density of floc is calculated using formula (ρ

f− ρ) = EY/ [(π/6)d3

fg].

b Porosity estimated using Eq. (2) with ρ

m= 1450 kg/m3.

balance calculation. Table 2 also lists these results. A close-to-unity porosity was also noted. This occurrence correlates with the rough estimate based on the free-settling test (Ta-ble 1). An almost nonexistent floc is suggested.

3.3. Extent of advective flow

Figure 5 demonstrates a sequence of microphotographs for an original floc (diameter 1740 µm) while interacting with the rising bubbles. The bubble indicated by the arrow locates just beneath the floc. It is noticeable that the in-dicated bubble could not penetrate into but was “pushed” downward by the floc. Tracing the movement of other bub-bles, 15–24% approaching flow would penetrate the floc (the advective flow). This result correlates with the experimental

(5)

Fig. 5. Bubble-tracking of the fluid flow field around a 160-ppm flocculated floc. Frame interval= 0.03 s. Arrows indicate the position of a specific bubble approaching the floc.

finding by Tsou et al. [18,19] but are not correspond to the extremely void floc interior indicated by the free-settling and stick deformation tests.

3.4. CLSM imaging

Figure 6 demonstrate the sequential CLSM sections at 1.5-µm intervals for the sludge flocs conditioned at 160 ppm of polyelectrolyte. The floc interior is highly heterogeneous. Clusters of densely packed particles were observed in the floc. With these CLSM images the three-dimensional im-ages for the flocs were reconstructed and demonstrated in Fig. 7. The floc interior is highly heterogeneous. Clusters of densely packed particles could be observed. The filamentous bacteria that form the “backbone” of the floc architecture are easily identified.

The software Inspector (Matrox) analyzed the image. The pixels in the images were first converted into a gray scale,

from which the histogram for pixels versus luminescence intensity was constructed. A threshold intensity was cho-sen to divide the whole image into black (solid phase) and white (void space). The area fraction of white parts was taken as the “two-dimensional porosity” [24]. We took the point exhibiting the highest slope on the curve of poros-ity versus luminescence intensporos-ity as the boundary separating the solid and void phases. The obtained porosity commonly exhibits a maximum relative error of less than 2%. The two-dimensional porosities for the original floc flocculated at 160 ppm polyelectrolyte were 0.66± 0.07. Most signifi-cantly, the floc interior is not so void as listed in Tables 1 and 2 (ca. 99%); on the contrary, the bacterial phase appar-ently occupied at least one third of the floc interior. This value underestimates the true solid fraction since (1) the present CLSM could not detect the solid phase other than the eubacteria and (2) as Li and Yuan [15] stated, the pores between the bacteria in the floc may be clogged by the cell’s

(6)

Fig. 6. Sequential sections of CLSM images of the flocculated floc (left-up to right-down) at 1.5-µm interval (160 ppm polyelectrolyte).

exopolymeric material, which could not be probed by the current DNA probe EUB338. Hence, the porosity of the floc interior should be less than 0.66 for the unfrozen flocs and less than 0.55 for slowly frozen/thawed flocs. This floc pic-ture with a rather dense interior differs from the nearly void structural model reported by Tables 1 and 2, but correlates with the low extent of advective flow noted in the bubble-tracking test. A clear discrepancy exists between the above-mentioned experimental observations on floc porosity. 3.5. Porosity and interior structure

Figure 8 demonstrates a schematic of a floc (of diame-ter df) interior for interpreting the observed discrepancy in porosity measurement, recognizing that a vast amount of wa-ter is in fact associated with the solid phase and not really flowable in the floc. Within the floc there are bacteria and other microorganisms distributed in a fractal-like manner, which yield pores of all sizes. The solid phase, demonstrated as the shaded regime in Fig. 8 with a density of 1450 kg/m3, is mainly contributed by the cell wall and other inert mater-ial, which only occupy 1–2% of the whole space by volume (Table 2, termed as εb). In real floc the whole cells (the solid wall and the intracellular water in Fig. 8), together with all the adsorbed excellular polymer and bound water, should be regarded as a solid phase [25,26]. Restated, since the advective water flow cannot pass through the apparently void fraction of the floc in buoyant weight measurement, the porosity corresponding to the hydrodynamic drag force is much lower than εb(termed as εt). This finding corresponds

to the observations in the bubble-tracking test and the CLSM imaging.

Hence the force balance for the floc could be stated as follows: π 6d 3 f(1− εb)(ρm− ρ)g (4) = FS=  π 4d 2 f  1 2ρV 2  CDΩ  εt(r)  .

The εb at the right of Eq. (4) is the buoyant porosity, and at the right, the correction factor Ω depends on the dis-tribution of the porosity εt (function of r). In Tambo and Watanabe [20], εt is taken as zero (no advective flow and = 1); then by equating Eq. (4) a close-to-unity εb is re-sulted, as listed in Table 1. A rather high εb would result if the permeability models listed in [1] were employed to estimate Ω (< 1) and εb= εt. The correspondence of the εbs estimated by the free-settling test (assuming Ω= 1 or Ω < 1) and the buoyant weight measurement does not jus-tify the accuracy of the former. Instead, as Wu et al. [27] remarked, the permeability for a heterogeneous floc could be much higher than that predicted by the homogeneous model at the same overall porosity since the large pore in floc allow easy advective flow. Only a nearly void floc interior would achieve this level of permeability when the solids phase dis-tributed uniformly in the floc interior.

Recent works directly measured the floc permeability [26, 28–31] and employed it to estimate the drag force exerted on a moving floc [32,33]. These works assumed a uniform per-meability over the floc (and hence, a constant εt) but did not

(7)

Fig. 7. Three-dimensional reconstruction of the floc interior viewed at dif-ferent angles (160-ppm polyelectrolyte dose).

correspond to data listed in Table 1 or in Fig. 6. These au-thors assumed that the permeability is attributable to the flow resistance through large pores only, and these large pores are distributed somewhat uniformly within the floc.

For an unfrozen floc, εbis close to unity (buoyant weight measurement) and εt is less than 0.64 (Figs. 6 and 7), or probably less than 0.5 if the solid phase not detectable by CLSM is taken into account. The former controls the buoy-ant weight of the sludge floc, while part of the latter (merely the large but fine pores in the floc) contributes to the hydro-dynamic drag force experienced by a moving floc. Moreover,

Fig. 8. Schematics of floc model proposed for interpreting the distinct floc porosities observed using different measurement methods.

the distribution rather than the mean value of εt controls the extent of advective flow, whence the corresponding hydro-dynamic drag force. No simple correlation exists between εband εt.

4. Conclusions

This work estimated the porosities of polyelectrolyte-flocculated activated sludge flocs based on free-settling tests, buoyant weight measurements, and confocal laser scanning microscopy (CLSM) tests. The extent of advective flow was estimated based on the bubble-tracking test. For the free-settling test, the free-settling velocities of the flocculated floc were measured. The estimated floc density assuming an im-permeable interior, which was known to be incorrect, was ca. 0.99. The buoyant weight of flocs was reported for the first time ranging from 10.6 to 37.4 µg for floc sizes of 1740– 2010 µm, giving a buoyant density of 0.97–0.99. On the other hand, the extent of advective flow through flocs was estimated to be only 15–24%. The CLSM images suggested that the floc porosity was less than 64%. A discrepancy ex-ists between the porosities estimated by various tests.

A floc model was proposed based on the understanding that a vast amount of bound water in the floc was regarded as void in buoyant weight measurement, but was imperme-able for advective flow. The true solid phase (density of 1450 kg/m3) could occupy merely 1–2% of the floc interior, giving a picture of an extremely void interior. However, in real flocs the whole cells, together with all the adsorbed ex-cellular polymer and bound water, should be regarded as the solid phase. Hence the porosity estimated based on CLSM and bubble-tracking tests was much lower than the buoyant weight measurement. We proposed that the extent of the ad-vective flow depends on the distribution rather than the mean value of the porosity. No simple correlation exists between porosities measured by different tests.

(8)

References

[1] D.J. Lee, G.W. Chen, Y.C. Liao, C.C. Hsieh, Water Res. 30 (1996) 541.

[2] D.H. Li, J. Ganczarczyk, Water Res. 21 (1987) 257.

[3] D.H. Li, J. Ganczarczyk, Environ. Sci. Technol. 23 (1989) 1385. [4] D.H. Li, J. Ganczarczyk, Biotechnol. Bioeng. 35 (1990) 57. [5] D.J. Lee, J. Chin. Inst. Chem. Eng. 25 (1994) 201. [6] D.J. Lee, Water Res. 33 (1999) 1116.

[7] R.M. Wu, D.J. Lee, T.D. Waite, J. Guan, J. Colloid Interface Sci. 250 (2002) 383.

[8] D.N. Thomas, S.J. Judd, N. Fawcett, Water Res. 33 (1999) 1579. [9] X. Li, Y. Yuan, Water Res. 36 (2002) 3110.

[10] P. Tang, J.A. Raper, Powder Technol. 123 (2002) 114.

[11] G.C. Bushell, Y.D. Yan, D. Woodfield, J.A. Raper, R. Amal, Adv. Col-loid Interface Sci. 95 (2002) 1.

[12] A.S. Kim, K.D. Stolzenbach, J. Colloid Interface Sci. 253 (2002) 315. [13] X. Li, B.E. Logan, Environ. Sci. Technol. 31 (1997) 1229.

[14] X. Li, B.E. Logan, Environ. Sci. Technol. 31 (1997) 1237. [15] X. Li, Y. Yuan, Environ. Sci. Technol. 36 (2002) 387. [16] S. Chellam, M.R. Wiesner, Water Res. 27 (1993) 1943.

[17] S. Veerapanchi, M.R. Wiesner, J. Colloid Interface Sci. 177 (1996) 45.

[18] G.W. Tsou, R.M. Wu, P.S. Yen, D.J. Lee, X.F. Peng, J. Colloid Inter-face Sci. 250 (2002) 400.

[19] G.W. Tsou, R.M. Wu, P.S. Yen, D.J. Lee, X.F. Peng, J. Chem. Eng. Jpn. 35 (2002) 540.

[20] N. Tambo, Y. Watanabe, Water Res. 13 (1979) 409.

[21] F. Zartarian, C. Mustin, G. Villemin, T. AitEttager, A. Thill, J.Y. Bot-tero, J.L. Mallet, D. Snidaro, Langmuir 13 (1997) 35.

[22] P.A. Wilderer, H.J. Bungartz, H. Lemmer, M. Wagner, J. Keller, S. Wuertz, Water Res. 36 (2002) 370.

[23] R. Witzig, W. Manz, S. Rosenberger, U. Kruger, M. Kraume, U. Szewzyk, Water Res. 36 (2002) 394.

[24] C.P. Chu, M.R. Chang, D.J. Lee, Sep. Sci. Technol. 38 (2003) 967. [25] D.J. Lee, Y.H. Hsu, Water Environ. Res. 67 (1995) 310.

[26] C.C. Wu, C. Huang, D.J. Lee, Water Res. 32 (1998) 900.

[27] R.M. Wu, D.J. Lee, P.J. He, J. Chin. Inst. Chem. Eng. 34 (2003) 275. [28] R.M. Wu, W.H. Feng, I.H. Tsai, D.J. Lee, Water Environ. Res. 70

(1998) 1258.

[29] R.M. Wu, G.W. Tsou, D.J. Lee, Chem. Eng. J. 80 (2000) 37. [30] R.M. Wu, G.W. Tsou, D.J. Lee, Adv. Environ. Res. 4 (2000) 163. [31] R.M. Wu, G.W. Tsou, D.J. Lee, J. Chin. Inst. Environ. Eng. 11 (2001)

265.

[32] R.M. Wu, D.J. Lee, Water Res. 32 (1998) 860. [33] R.M. Wu, D.J. Lee, Chem. Eng. Sci. 53 (1998) 3571.

數據

Figure 1 demonstrates the apparatus of the free-settling test. A glass cylinder (6 cm in diameter and 50 cm in height), sectioned on a side with an attaching plane view glass, was used for a floc-settling test
Fig. 2. Microphotographs of the testing samples. (a) Polystyrene (PS) sphere of diameter 1888 µm; (b) sludge floc.
Table 2 lists the measured stick deformation for five flocculated, unfrozen flocs. Over the floc size range 1820–
Fig. 5. Bubble-tracking of the fluid flow field around a 160-ppm flocculated floc. Frame interval = 0.03 s
+3

參考文獻

相關文件

Define instead the imaginary.. potential, magnetic field, lattice…) Dirac-BdG Hamiltonian:. with small, and matrix

Microphone and 600 ohm line conduits shall be mechanically and electrically connected to receptacle boxes and electrically grounded to the audio system ground point.. Lines in

In the work of Qian and Sejnowski a window of 13 secondary structure predictions is used as input to a fully connected structure-structure network with 40 hidden units.. Thus,

Y., (1997), “Resource recovery of sludge as building and construction materials — a future trend in sludge management,” Journal of Water Science and Technology, Vol. (2000)

(2000) “Effects of lime addition sewage sludge composting process.” Water

Through the enforcement of information security management, policies, and regulations, this study uses RBAC (Role-Based Access Control) as the model to focus on different

Based on the tourism and recreational resources and lodging industry in Taiwan, this paper conducts the correlation analysis on spatial distribution of Taiwan

Since the research scope of industrial structure optimization and transformation strategy in Taiwan is broad and complicated, based on theories of service innovation and