Citation: O. Roger Anderson. Marine and estuarine natural microbial biofilms: ecological and biogeochemical dimensions[J]. AIMS Microbiology, 2016, 2(3): 304-331. doi: 10.3934/microbiol.2016.3.304
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In the presence of the growing global demand for energy, renewable energy provides the most promising solutions. Amongst all other renewable energy resources, solar energy is the most plentiful and permanent till date. There are two types of line-focusing collector systems in CSP plants: Parabolic troughs collector (PTC) and Linear Fresnel collector (LFC). PTC solar thermal power plants use thermal oils as heat transfer fluids (HTFs). This technology has witnessed several improvements over the last several decades. Using water instead of thermal oil as HTF results in higher overall system efficiency and lower costs. Under specified operating conditions, it is found that the levelized electricity costs (LEC) of the DGS is 10% lower than indirect steam generation [1].
Direct steam generation (DSG) parabolic trough collector (PTC) solar thermal power plants can work in three different basic operating modes, namely: once-through, recirculation and injection modes. In Once-through mode; the feed-water is preheated, evaporated, and converted into superheated steam as it circulates from the inlet to the outlet of the parabolic trough collector (PTC) field. A water injector is placed in front of the last parabolic trough collector (PTC) to control the outlet steam temperature. This mode is the simplest and its main issue is the controllability of the outlet superheated steam. In Injection mode, water is injected at several points along the parabolic trough collector (PTC) row. The main drawback is its complexity and high operating costs [7]. In Recirculation mode, a water-steam separator is placed at the end of the evaporation section of the parabolic trough collector (PTC) row. In this separator, excess water is recirculated to the field inlet and mixed with pre-heated water. This guarantees good wetting of the absorber tube. In the separator, the remaining steam is used to feed the superheating section. This operating scheme is highly controllable but also increases parasitic load due to the water-steam separator [8].
Direct steam generation (DSG) technology faces real technical challenges due to phase changes that affect the heat transfer fluid (HTF). The water experiences phase changes while it circulates through linear focusing solar field. The existence of a two-phase flow involves uncertainties regarding stability, controllability of the process, and the gradient temperatures in the pipes. Several theoretical models have been applied to describe the behaviour of a DSG process [9,10,11,12]. It is found that estimating pressure drop based on the correlations of Friedel [13] and Chisholm [14] are suitable for designing DSG solar fields and implementing simulation tools. Several software tools have been used to implement simulation models for DSG in parabolic-troughs [15,16,17,18,19]. Regardless of the significant number of models found in the literature for DSG in parabolic-trough collectors, there is a lack of an efficient model that accurately describes phase changes during the process and allows rigorous optimizations.
Typical two-phase flow patterns in horizontal pipes are: bubbly, interment, stratified and annular [2]. In bubbly, intermittent and annular flows, the pipe wall is well-wetted; therefore, a high temperature gradient between the top and the bottom of the pipe is avoided when the pipe is heated from one side. On the other hand, when pipe is heated from one side for stratified two phase flow, there is a steep temperature gradient between the top and bottom which causes thermal stress and bending that may break the pipe. It has been reported by many researches that non uniform wetting can be significantly reduced by titling the absorber tubes [20,21].
Water is considered perfectly an ideal heat transfer fluid. The using of steam as heat transfer fluid allows operating at high temperature and pressure as opposed to thermo-oil. As a result of that, the efficiency of the steam cycle increases. The objective of this study is to develop more realistic approach that accurately predicts the performance of DSG in evacuated absorber tube (receiver). Furthermore, determine the main types of the flow patterns in the saturated region, and determine the heat transfer coefficient for each type of flow patterns.
The single-phase flows are divided into laminar and turbulent flows, equally as important as also the two-phase flows are divided into flow patterns Figure 1 illustrates the flow patterns in the two-phase region in a horizontal pipe during evaporation. There are four main flow patterns in the two-phase region in horizontal pipes: stratified, annular, bubbly, and intermittent. The flow pattern depends on the superficial velocities of liquid and vapor in the mixture of the two-phase flow, mass flow rate (m), heat flux (q), pressure (P), and channel geometry. There is no direct method to determine the pattern of two phase flow. Furthermore, there is no universal agreement among researchers on all possible flow patterns.
The most common patterns of two-phase flow in horizontal pipes can be summerized as follows;
· Bubbly flow pattern: In this flow pattern, the shear forces are dominant and this occurs when the bubbles of vapor appear in the fluid, the bubbles tend to distribute homogeneously. Commonly, the bubbly flow pattern is related with high flow rates in horizontal pipes.
· Plug flow pattern: In this flow pattern if the bubbles of vapor collide at this moment the plugs (larger bubbles) can appear. The plug flow pattern is defined by plugs (large bubbles) flowing in the upper half of the pipe.
· Stratified flow pattern: In this flow pattern at low velocities, the liquid phase and vapor phase are separated. Due to gravity the liquid is at bottom and the vapor is at the top of the horizontal pipe.
· Stratified-wavy flow pattern: In this flow pattern if the velocity of the vapor increases with respect to the velocity of fluid, an example of the stratified-wavy flow pattern in the evaporation process, waves can appear in the interface between both phases.
· Intermittent flow pattern: In this flow pattern if the velocity of the vapor increases even more, the size of the waves increase and become larger and wet the top of the horizontal pipe. The Intermittent flow pattern can be seen as interment waves, if a cross-sectional area of the pipe is analyzed.
· Slug flow pattern: In this flow pattern the slugs of liquid are formed and this happens when the waves contact the pipe from the upper side. A liquid film is formed when the vapor at high velocity pushes the slug through the pipe.
· Annular flow pattern: In this flow pattern at higher velocities, the liquid film that created by slugs covers the pipe from the inside, where the vapor flows in the center of the pipe. The thickness of the liquid film in the upper part of the pipe is smaller than the thickness of the liquid film in the lower part of the pipe due to gravity. If the waves are still present, the droplets of liquid can appear in the gas core. The annular flow pattern is the predominant flow regime in evaporators because the convective heat transfer coefficients are the highest in the annular flow pattern.
· Mist flow pattern: This flow pattern is also called droplet flow, because droplets exist in the superheated vapor flow, even after the liquid film has dried out.
In this study, a subcooled water is fed into single evacuated pipe (absorber tube) with known mass flow rate and temperature. The absorber tube made of steel is evacuated (covered with glass) to reduce the heat losses to ambient (surroundings). The heat transfer modes (conduction, convection and radiation) and their equations are used to predict thermal performance of the system. End effects are negligible since the length of steel pipe is larger than the length of its diameter. The view factor between steel pipe and glass pipe is assumed to equal unity. The incident solar radiation on absorber tube is considered uniform along the length of glass-covered tube.
The thermodynamic properties of water-steam are calculated and evaluated based on International Association for the Properties of Water and Steam IAPWS Standard. IAPWS has been widely accepted and used by researchers and industrial sectors [3]. The equations are programmed and integrated into the developed Matlab code.
Subcooled water enters the absorber tube and its temperature increases along the length of the absorber tube. When the temperature of the water equals to the saturation temperature, nucleate boiling begins. Adding more heat increases the quality which leads to changing in the patterns of flow to convective boiling or forced convective vaporization as shown in Figure 2. Further increase of quality leads to higher values of heat transfer coefficient [4]. As water mixture flows downstream, dry out occurs. At this point, the heat transfer coefficient decreases because the decrease of thermal conductivity of steam.
The heat transfer coefficient hsingle phase (W/m2 k) for the single phase either liquid phase or steam phase inside the absorber tube is given as [5]:
hsinglephase=0.0235 Re0.8 Pr0.48 (KWD) | (1) |
where Re is Reynolds number, Pr is Prantdl number, Kw is the thermal conductivity, and D is the inner diameter. The heat transfer coefficient depends on the type of the flow in two phase region. Taitel and Dukler's map is used in this study for determining the flow patterns [6]. The total pressure drop ΔPtotal in the absorber tube depends on the momentum losses, the pressure head losses and the friction losses:
ΔPtotal=ΔPfric+ΔPmom+Pstatic | (2) |
Neglecting momentum changes and the elevation changes, Equation (2) reduces to
ΔPtotal=ΔPfric | (3) |
It is worth mention that Equation (3) is valid for both two phase and single phase flow. The pressure drop in the two phase region is predicted using the separated model flow. These models assume that the phase velocity of liquid phase and vapor phase is constant in the cross-section that occupied by the phase. Friedel correlation is used to predict the pressure drop in the two phase region [7].
The pressure drop for two phase flow is given as [7]:
ΔPfric=ΔPL.φ2 | (4) |
where ΔPL is the pressure drop for liquid phase and calculated from:
ΔPL=4fL (LDi )G2 (12L) | (5) |
where Di is the inner diameter and G is the mass velocity and equals the mass flow rate per unit area. The friction factor for liquid (fL) and the Reynold number for liquid (ReL) are calculated from:
fL=0.079Re0.25 | (6) |
ReL=ρL VL DμL | (7) |
where μL is the liquid dynamic viscosity and Փ is the two phase flow multiplier given as:
φ2 =E+3.24FH(FrH0.045 WeL0.035 | (8) |
The Froude number FrH equals:
FrH=G2(g di ρ H2 ) | (9) |
The factors E, F and H are calculated as follows:
E=(1-x)2+x2 (ρL fGρG fL) | (10) |
F=x0.78 (1-x)0.224 | (11) |
H=(ρLρG )0.91 (μGμL )0.19(1-μGμL )0.7 | (12) |
The liquid weber number WeL is given as:
WeL=(G2 diσ ρ H) | (13) |
The homogeneous density ρH as function of vapor quality (x) is:
ρH=(xρG +1-xρL ) | (14) |
Finite element discretization is used to analyze a system of single pipe covered by glass material in which the subcooled undergoes heating and evaporation process. The absorber tube is divided into n segments. Energy and momentum are applied on each element to calculate the outlet conditions based on the inlet conditions for each segment. For known properties at inlet, and assuming the pressure at the exit of the segment (I), the average pressure between the inlet and outlet of the segment (I) is:
P(I)= Pi(I)+Pi+1(I)2 | (15) |
The enthalpy at the exit of the segment (I) is calculated as:
Hi+1(I)=Q(I)+(˙m× Hi(I) )˙m | (16) |
The average enthalpy between the inlet and outlet of the segment (I) is calculated by:
H(I)= Hi(I)+Hi+1(I) 2 | (17) |
The velocity of vapor phase VG(I) and liquid phase VL(I) are calculated as:
VL(I)= X(I) ×˙mA × ρL(I) | (18) |
VG(I)= [ 1-X(I) ] ×˙mA × ρG(I) | (19) |
where A is the cross-section area of the steel pipe. Knowing VG(I), VL(I), and the gas and liquid properties allows calculating new value of Pi+1(I) based on pressure drop. The calculation of pressure drop is given in appendix A. An iteration scheme is run to until the convergence is reached for the outlet pressure of the segment Pi+1(I). This previous procedure is carried out for the subcooled region, superheated region and liquid-vapor region. In single phase region the temperature of the segment T(I) is computed as follows; initially, T(I) is assumed, then the heat rate absorbed by the steel pipe Q(I) is evaluated, the enthalpy at the exit Hi+1(I) of the segment (I) and the average enthalpy H(I) of the segment (I) are calculated by Equation (23) and (24). Knowing the average pressure and the enthalpy, the temperature at segment I can be determined by run iteration until convergence. An external iteration is carried out to that satisfy the exit pressure at the outlet of the absorber tube.
Figure 3 show the electrical analog used to calculate the absorbed heat rate Q(I). As shown in Figure 6, the heat transfer by radiation is absorbed by the steel pipe and then is transferred to the liquid via conduction and convection heat transfer. Appendix B summarized the equation for evaluating all thermal resistances.
The amount of the heat absorbed Q(I) depends on the radiant heat flux Qim and water temperature T(I). Applying heat balance for segment (I):
Qim=Q(I)+QLoss | (20) |
Qim=(Ts-T∞R123 )+(Ts-TR45 ) | (21) |
where Ts is the surface temperature of steel pipe, R45 is the equivalent resistance of R4 and R5, R123 is the equivalent resistance of R1, R2 and R3, T∞ is the ambient temperature and T is the temperature of water inside the steel pipe. Equation (21) can be used to determine the surface temperature. Water temperature T is computed from the iteration process of pressure drop. The total heat transferred to the water can be evaluated after determining Ts as:
Q=Qim-(Ts-TR123 ) | (22) |
Figure 4 shows the flowchart of the numerical algorithm.
The present numerical solution is validated against experimental data of DISS system located at the Plataforma Solar de Almería (Tabernas, Spain) [20]. Table 1 shows the experimental data that were used for the validation.
Description | Magnitude | |||
Day | Win (kg/s) | Tin ( °C) | Pin (Mpa) | Q |
0.615 | 249.3 | 10.2 | 887.26 | 14/05/2003 |
0.581 | 198.1 | 3.47 | 865.02 | 21/05/2003 |
Figure 5 shows a comparison between the experimental and other authors models and present numerical pressure profile for 10 and 3 MPa. As can be seen in Figure 5, our present solution matches well with experimental data. Furthermore, the present numerical solution outperforms results of Natan et al. [9] and Aguilar et al. [21].
Simulation code is developed to investigate thermal properties of water along the pipe. The length of the absorber and the radiant heat flux impinging along the pipe are kept fixed for entire simulations to 450 m, 1000 W/m respectively. The inlet temperature is 25 °C, and the inclinations angle (β) is 10° are kept fixed as well. The mass flow rate of the water at the inlet equals to 0.12 kg/s, the pressure at the outlet equals to 3 MPa. Table 2 represents the specifications of the absorber tube used in this study.
Absorber tube length | 450 m |
Absorber tube outer diameter | 0.058 m |
Absorber tube inner diameter | 0.025 m |
Glass pipe outer diameter | 0.058 m |
Glass pipe inner diameter | 0.0564 m |
The thickness of glass pipe | 0.0016 m |
The emissivity of glass pipe | 0.9 |
Steel pipe outer diameter | 0.028 m |
Steel pipe inner diameter | 0.025 m |
The thickness of steel pipe | 0.003 m |
The emissivity of steel pipe | 0.87 |
Steel pipe thermal conductivity of steel pipe steel pipe steel pipe | 18 W/m K |
The numerical simulations yield results for the distribution of the pressure, the heat absorbed, temperature, enthalpy and the quality along the pipe length. Figure 6 shows the heat absorbed (Q) by the absorber tube at different parameters (mass flow rate, pressure temperature and diameter) along the length of the pipe. Results shown in Figure 6 show that the heat absorbed increases with increasing mass flow rate and decreasing absorber diameter. Furthermore, the heat absorbed decreases when the temperature decreases and pressure increases. Figure 7 shows pressure drop at different mass flow rate and inner diameters along the absorber tube. The pressure drop (ΔP) of the water inside the absorber tube decreases with the length (L) of the pipe as expected due to friction and static head. It is worth mentioning that the pressure drop of water is calculated in the three regions; water region, two phase region and dry steam region. Figure 7 shows the temperature and the saturation temperature vs. the length of the absorber tube. The temperature of the water equals to the saturation temperature in the two phase region. In the single phase region, the temperature of water depends on the pressure and enthalpy. The saturation temperature depends on the pressure only. Figure 8 shows the water temperature at different parameters along the absorber tube. As seen in Figure 8, the temperature increases with decreasing mass flow rate.
Figure 9 shows the variation of quality of the vapor along absorber tube. The water temperature increases quite fast in single phase region and when the evaporation process starts (two phase region) the temperature decreases slightly due to the decreases of the pressure with the length of pipe. When the evaporation process is completed, the temperature of the steam increases again and the water inside the absorber tube is in the form of superheated steam. The heat absorbed by the absorber tube decreases with the increasing in the pipe length, the reason for this is that the temperature of the water inside the steel pipe increases with length of absorber tube and as a result of that the heat losses to the surrounding increase.
The direct steam generated by solar radiation falling on absorber tube (evacuated tube) is analyzed. Two phase flow resulted from evaporation process is considered. The IAPWS-IF97 standards for single phase (liquid or steam) and for two phase (liquid and vapor) are used to calculate and compute the properties of water in single phase region and in two phase region. The amount of heat absorbed by the absorber tube is calculated for single phase and two phase using a suitable heat transfer model. Furthermore, the pressure drop inside the absorber tube is calculated for single phase and two phase using the best model that predict the pressure drop in the single phase flow region and two phase flow region. The Matlab program is used to simulate the system and the parameters such as Q, T, X, P, and Tsat that result from the simulation are discussed in details. It is found that present numerical solution matches very well experimental data of the DISS system of Plataforma Solar de Almería for pressure profiles. Moreover, the results obtained by present numerical models are more accurate than other those predicted by other numerical models found in literature.
The authors declare there is no conflict of interest.
[1] | Costerton JW (2007) The Biofilm Primer, Berlin: Springer. |
[2] |
Costerton JW, Lewandowski Z, Caldwell DE, et al. (1995) Microbial Biofilms. Annu Rev Microbiol 49: 711–745. doi: 10.1146/annurev.mi.49.100195.003431
![]() |
[3] | Lappin-Scott, HM, Costerton JW (1995) Microbial biofilms, Cambridge: Cambridge Univ. Press. |
[4] | Stoodley P, Boyle JD, Dodds I, et al. (1997) Consensus model of biofilm structure, In: Wimpenny JWT, Handley PS, Gilbert, P et al. Authors, Biofilms: community interactions and control, Cardiff, UK.: BioLine, 1–9. |
[5] | Anderson OR (2016) Natural Freshwater Biofilms: Structure and Function with Attention to the Biogeochemical Carbon Cycle, In: Biofilms: Characterization, Applications and Recent Advances, New York: Nova Scientific Publishers, [in press]. |
[6] |
Cooksey KE, Wigglesworth-Cooksey B (1995) Adhesion of bacteria and diatoms to surfaces in the sea-a review. Aquat Microb Ecol 9: 87–96. doi: 10.3354/ame009087
![]() |
[7] | Evans LV (2000) Biofilms: recent advances in their study and control, Amsterdam: Harwood Academic Publ. |
[8] | Maki JS (1999) The influence of marine microbes on biofouling, In: Fingerman M, Nagabhushanam R, Thompson M-F Authors, Recent advances in marine biotechnology, vol 3. Biofilms, bioadhesion, corrosion and biofouling. Enfield: Science Publ., 141–171. |
[9] | Railkin AI (2004) Marine biofouling: colonization processes and defences. Boca Raton: CRC Press. |
[10] | Salta M, Wharton J, Blache Y, et al. (2013) Marine biofilms on man-made surfaces: structure and dynamics. Environ Microbiol 15: 2879–2893. |
[11] | Wahl M (1989) Marine epibiosis.1. Fouling and antifouling – some basic aspects. Mar Ecol Prog Ser 58:175–189. |
[12] | Callow JA, Callow ME (2006) Biofilms, In: Fusetani N, Clare AS Authors, Antifouling Compounds, Berlin: Springer-Verlag, 141–169. |
[13] |
Muia AW, Bretschko G, Herndi GJ (2011) An overview of the structure and function of microbial biofilms, with special emphasis on heterotrophic aquatic microbial communities. Afr J Aquat Sci 36: 1–10. doi: 10.2989/16085914.2011.562279
![]() |
[14] |
Petrova OE, Sauer K (2012) Sticky situations: key components that control bacterial surface attachment. J Bacteriol 194: 2413–2425. doi: 10.1128/JB.00003-12
![]() |
[15] |
Callow ME, Fletcher RL (1994) The influence of low surface energy materials on bioadhesion – a review. Int Biodeter Biodegr 34: 333–348. doi: 10.1016/0964-8305(94)90092-2
![]() |
[16] |
Ista LK, Callow ME, Finlay JA, et al. (2004) Effect of substratum surface chemistry and surface energy on attachment of marine bacteria and algal spores. Appl Environ Microbiol 70: 4151–4157. doi: 10.1128/AEM.70.7.4151-4157.2004
![]() |
[17] | Chamberlain AHL (1992) The role of adsorbed layers in bacterial adhesion, In: Melo LF, Bott TR, Fletcher M, et al. Authors, Biofilms – Science and Technology, Dordrecht: JKluwer Academic, 59–67. |
[18] | Absolom DR, Lamberti FV, Policova, Z, et al. (1983) Surface thermodynamics of bacterial adhesion. Appl Environ Microbiol 46: 90–97. |
[19] |
Grasland B, Mitalane J, Briandet R, et al. (2003) Bacterial biofilm in seawater: cell surface properties of early-attached marine bacteria. Biofouling 19: 307–313. doi: 10.1080/0892701031000121041
![]() |
[20] |
Dalton HM, Goodman AE, Marshall KC (1996) Diversity in surface colonization behavior in marine bacteria. J Ind Microbiol Biotechnol 17: 228–234. doi: 10.1007/BF01574697
![]() |
[21] |
Marshall KC, Stout R, Mitchell R (1971) Selective sorption of bacteria from seawater. Can J Microbiol 17: 1413–1416. doi: 10.1139/m71-225
![]() |
[22] |
O’Toole GA, Kolter R (1998) Flagellar and twitching motility are necessary for Pseudomonas aeruginosa biofilm development. Mol Microbiol 30: 295–304. doi: 10.1046/j.1365-2958.1998.01062.x
![]() |
[23] | Belas R (2014) Biofilms, flagella, and mechanosensing of surfaces by bacteria. Trends Microbiol 22: 518–527. |
[24] |
Marshall KC, Stout R, Mithcell R (1971) Mechanism of the initial events in the sorption of marine bacteria to surfaces. J Gen Microbiol 68: 337–348. doi: 10.1099/00221287-68-3-337
![]() |
[25] |
Witt V, Wild C, Uthicke S (2011) Effect of substrate type on bacterial community composition in biofilms from the Great Barrier Reef. FEMS Microbiol Lett 323: 188–195. doi: 10.1111/j.1574-6968.2011.02374.x
![]() |
[26] |
Siboni N, Lidor M, Kramarsky-Winter E, et al. (2007) Conditioning film and initial biofilm formation on ceramics tiles in the marine environment. FEMS Microbiol Lett 274: 24–29. doi: 10.1111/j.1574-6968.2007.00809.x
![]() |
[27] |
Patrauchan MA, Sarkisova S, Sauer K, et al. (2005) Calcium influences cellular and extracellular product formation during biofilm-associated growth of a marine Pseudoalteromonas sp. Microbiology 151: 2885–2897. doi: 10.1099/mic.0.28041-0
![]() |
[28] |
Dang H, Li T, Chen M, et al. (2008) Cross-ocean distribution of Rhodobacterales bacteria as primary surface colonizers in temperate coastal marine waters. Appl Environ Microbiol 74: 52–60. doi: 10.1128/AEM.01400-07
![]() |
[29] |
Lee, JW, Nam JH, Kim YH, et al. (2008) Bacterial communities in the initial stage of marine biofilm formation on artificial surfaces. J Microbiol 46: 174–182. doi: 10.1007/s12275-008-0032-3
![]() |
[30] | Satheesh S, Wesley SG (2010) Biofilm development on acrylic coupons during the initial 24 hour period of submersion in a tropical coastal environment. Int J Oceanogr Hydrobiol 39: 27–38. |
[31] | Rao TS (2010) Comparative effect of temperature on biofilm formation in natural and modified marine environment. Aquat Ecol 44: 463–478. |
[32] |
Witt V, Wild C, Kenneth RN, et al. (2011) Effects of ocean acidification on microbial communit composition of, and oxygen fluxes through, biofilms from the Great Barrier Reef. Environ Microbiol 13: 2976–2989. doi: 10.1111/j.1462-2920.2011.02571.x
![]() |
[33] |
Hudon C, Bourget E (1981) Initial colonization of artificial substrate: community development and structure studied by scanning electron microscopy. Can J Fish Aquat Sci 38: 1371–1384. doi: 10.1139/f81-184
![]() |
[34] | Doiron K, Linossier I, Fay F, et al. (2012) Dynamic approaches of mixed species biofilm formation using modern technologies. Mar Environ Res 30: 1–8. |
[35] |
Pan LA, Zhang J, Zhang LH (2007) Picophytoplankton, nanophytoplankton, heterotrophic bacteria and viruses in the Changjang Estuary and adjacent coastal waters. J Plankton Res 29: 187–197. doi: 10.1093/plankt/fbm006
![]() |
[36] | Wang M, Liang Y, Bai X, et al. (2010) Distribution of microbial populations and their relationship with environmental parameters in the coastal waters of Qingdao, China. Environ Microbiol 12: 1926–1939. |
[37] |
Nayar S, Goh, BPL, Chou LM (2005) Settlement of marine periphytic algae in a tropical estuary. Estuar Coast Shelf Sci 64: 241–248. doi: 10.1016/j.ecss.2005.01.016
![]() |
[38] | Mitbavkar S, Raghu C, Rajaneesh KM, et al. (2012) Picophytoplankton community from tropical marine biofilms. J Exp Mar Biol Ecol 426–427: 88–96. |
[39] |
McDougald D, Rice SA, Kjelleberg S (2007) Bacterial quorum sensing and interference by naturally occurring biomimics. Anal Bioanal Chem 387: 445–453. doi: 10.1007/s00216-006-0761-2
![]() |
[40] |
Kjelleberg S, Molin S (2002) Is there a role for quorum sensing signals in bacterial biofilms? Curr Opin Microbiol 5: 254–258. doi: 10.1016/S1369-5274(02)00325-9
![]() |
[41] |
Joint I, Tait K, Callow ME (2002) Cell-to-cell communication across the prokaryote-eukaryote boundary. Science 298: 1207. doi: 10.1126/science.1077075
![]() |
[42] |
Tait K, Williamson H, Atkinson S (2009) Turnover of quorum sensing signal molecules modulates cross-kingdom signaling. Environ Microbiol 11: 1792–1802. doi: 10.1111/j.1462-2920.2009.01904.x
![]() |
[43] | Zhou J, Lyu Y, Richlen ML, et al. (2016) Quorum sensing is a language of chemical signals and plays an ecological role in algal-bacterial interactions. Crit Rev Plant Sci. doi: 1080/07352689.2016.1172461. |
[44] |
Yang C, Fang S, Chen D, et al. (2016) The possible role of bacterial signal molecules N-acyl homoserine lactones in the formation of diatom-biofilm (Cylindrotheca sp.). Mar Pollut Bull 107: 118–124. doi: 10.1016/j.marpolbul.2016.04.010
![]() |
[45] | Walker DI, Keevil CW (2015) Low-concentration diffusible molecules affect the formation of biofilms by mixed marine communities. Cogent Biol 1: 1103830. |
[46] |
Dusane DH, Damare SR, Nancharaiah YV, et al. (2013) Disruption of microbial biofilms by an extracellular protein isolated from epibiotic tropical marine strain of Bacillus licheniformis. PLoS ONE 8: e64501. doi:10.1371/journal.pone.0064501. doi: 10.1371/journal.pone.0064501
![]() |
[47] |
Kiemle SN, Domozych DS, Gretz, MR (2007) The extracellular polymeric substances of desmids (Conjugatophyceae, Streptophyta): chemistry, structural analyses and implications in wetland biofilms. Phycologia 46: 617–627. doi: 10.2216/06-97.1
![]() |
[48] |
Anderson OR (2013) Naked amoebae in biofilms collected from a temperate freshwater pond. J Eukaryot Microbiol 60: 429–431. doi: 10.1111/jeu.12042
![]() |
[49] |
Jones PR, Cottrell, MT, Kirchman DL, et al. (2007) Bacterial community structure on artificial surfaces in an estuary. Microb Ecol 53: 153–162. doi: 10.1007/s00248-006-9154-5
![]() |
[50] |
Lau S, Thiyagarajan V, Cheung S et al. (2005) Roles of bacterial community composition in biofilms as a mediator for larval settlement of three marine invertebrates. Aquat Microbiol Ecol 38: 41–51. doi: 10.3354/ame038041
![]() |
[51] |
Lee JW, Nam JH, Kim YH, et al. (2008) Bacterial communities in the initial stage of marine biofilm formation on artificial surfaces. J Microbiol 46: 174–182. doi: 10.1007/s12275-008-0032-3
![]() |
[52] |
Patil J, Anil A (2005) Biofilm diatom community structure: influence of temporal and substratum variability. Biofouling 21: 189–206. doi: 10.1080/08927010500256757
![]() |
[53] | Dobretsov S (2009) Marine Biofilms, In: Dürr S, Thomason, JC Authors, Biofouling. Oxford: Wiley-Blackwell. doi: 10.1002/9781444315462.ch9. |
[54] |
Zargiel KA, Coogan JS, Swain GW (2011) Diatom community structure on commercially available ship hull coatings. Biofouling 27: 955–965. doi: 10.1080/08927014.2011.618268
![]() |
[55] | Salta M, Wharton JA, Blache Y, et al. (2013) Marine biofilms on artificial surfaces: structure and dynamics. Environ Microbiol 15: 2879–2893. |
[56] |
Fröls S (2013). Archaeal biofilms: widespread and complex. Biochem Soc Trans 41: 393–398. doi: 10.1042/BST20120304
![]() |
[57] |
Briggs BR, Pohlman JW, Torres M, et al. (2011) Macroscopic biofilms in fracture-dominated sediment that anaerobically oxidize methane. Appl Environ Microbiol 77: 6780–6787. doi: 10.1128/AEM.00288-11
![]() |
[58] |
Schrenk MO, Kelley DS, Delaney JR, et al. (2003) Incidence and diversity of microorganisms within the walls of an active deep-sea sulfide chimney. Appl Environ Microbiol 69: 3580–3592. doi: 10.1128/AEM.69.6.3580-3592.2003
![]() |
[59] |
Schrenk MO, Kelley DS, Bolton SA, et al. (2004) Low archaeal diversity linked to subseafloor geochemical processes at the Lost City Hydrothermal Field, Mid-Atlantic Ridge. Environ Microbiol 6: 1086–1095. doi: 10.1111/j.1462-2920.2004.00650.x
![]() |
[60] |
Webster NS, Negri AP (2006) Site-specific variation in Antarctic marine biofilms established on artificial surfaces. Environ. Microbiol 8: 1177–1190. doi: 10.1111/j.1462-2920.2006.01007.x
![]() |
[61] |
Ionescu D, Siebert C, Polerecky L, et al. (2012) Microbial and chemical characterization of underwater fresh water springs in the Dead Sea. PLoS ONE 7: e38319. doi: 10.1371/journal.pone.0038319
![]() |
[62] |
Fröls S, Dyall-Smith M, Pfeifer F (2012) Biofilm formation by haloarchaea. Environ Microbiol 14: 3159–3174. doi: 10.1111/j.1462-2920.2012.02895.x
![]() |
[63] | Schrenk MO, Kelley DS, Delaney JR, et al. (2003) Incidence and diversity of microorganisms within the walls of an active deep-sea sulfide chimney. Appl Environ Microbiol 69: 3580–3592. |
[64] |
Doghri I, Rodrigues S, Bazire A, et al. (2015) Marine bacteria from the French Atlantic coast displaying high forming-biofilm abilities and different biofilm 3D architectures. BMC Microbiol 15: 231. doi 10.1186/s12866-015-0568-4. doi: 10.1186/s12866-015-0568-4
![]() |
[65] |
Naraváez-Zapata J, Tebbe CC, Ortega-Morales BO (2005) Molecular diversity and biomass of epilithic biofilms from intertidal rocky shores of the Gulf of Mexico. Biofilms 2: 93–103. doi: 10.1017/S147905050500178X
![]() |
[66] | Moldoveanu AM (2012) Environmental factors influences on bacterial biofilms formation. Ann RSCB 17: 118–126. |
[67] | Chiu JMY, Thiyagarajan V, Tsoi MMY, et al. (2006) Qualitative and quantitative changes in marine biofilms as a function of temperature and salinity in summer and winter. Biofilms 2: 183–195. |
[68] |
Meyer-Reil L-A, Köster M (2000) Eutrophication of marine waters: effects on benthic microbial communities. Mar Poll Bull 41: 255–263. doi: 10.1016/S0025-326X(00)00114-4
![]() |
[69] | Underwood GJC (2010) Exopolymers (extracellular polymeric substances) in diatom-dominated marine sediments. In: Seckbach J, Oren A Authors, Microbial Mats: Modern and Ancient Microorganisms in Stratified Systems, Cellular Origin, Life in Extreme Habitats and Astrobiology Berlin: Springer. Science+Business Media B.V 14: 287–300. doi 10.1007/978-90-481-3799-2_15. |
[70] |
Steele DJ, Franklin DJ, Underwood GJC (2014) Protection of cells from salinity stress by extracellular polymeric substances in diatom biofilms. Biofouling 30: 987–998. doi: 10.1080/08927014.2014.960859
![]() |
[71] |
Krembs C, Eicken H, Junge K (2002) High concentrations of exopolymeric substances in Arctic winter sea ice: implications for the polar ocean carbon cycle and cryoprotection of diatoms. Deep-Sea Res I 49: 2163–2181. doi: 10.1016/S0967-0637(02)00122-X
![]() |
[72] |
Perkins RG, Lavaud J, Serôdio J, et al. (2010) Vertical cell movement is a primary response of intertidal benthic biofilms to increasing light dose. Mar Ecol Prog Ser 416: 93–103. doi: 10.3354/meps08787
![]() |
[73] | Paerl HW, Pinckney JL (1996) A mini-review of microbial consortia: their roles in aquatic production and biogeochemical cycling. Microb Ecol 31: 225–247. |
[74] | Newman DK, Banfield JF (2003) Geomicrobiology: how molecular-scale interactions underpin biogeochemical systems. Science 296: 1071–1077. |
[75] |
Lugomela C, Söderbäck E, Björk M (2005) Photosynthesis rates in cyanobacteria-dominated sub-tidal biofilms near Zanzibar, Tanzania. Estuar Coast Shelf Sci 63: 439–446. doi: 10.1016/j.ecss.2004.11.012
![]() |
[76] | Stal LJ (2000) Cyanobacterial mats and stromatolites. In: Whitton BA, Potts M Authors, The Ecology of Cyanobacteria: Their Diversity in Time and Space. Dordrecht: Kluwer Academic Publishers 61–120. |
[77] |
Johnstone RW, Koop K, Larkum AWD (1990) Physical aspects of coral reef lagoon sediments in relation to detritus processing and primary production. Mar Ecol Progress Ser 66: 273–283. doi: 10.3354/meps066273
![]() |
[78] |
Uthicke S, Klumpp DW (1998) Microphytobenthos community production at a near-shore coral reef: seasonal variations and response to ammonium recycled by holothurians. Mar Ecol Progress Ser 169: 1–11. doi: 10.3354/meps169001
![]() |
[79] |
Magalhães CA, Bordalo A, Wiebe WJ (2003) Intertidal biofilms on rocky substratum can play a major role in estuarine carbon nutrient dynamics. Mar Ecol Progress Ser 258: 275–281. doi: 10.3354/meps258275
![]() |
[80] |
Bellinger BJ, Underwood GJC., Ziegler SE, et al. (2009) Significance of diatom-derived polymers in carbon flow dynamics within estuarine biofilms determined through isotopic enrichment. Aquat Microb Ecol 55: 169–187. doi: 10.3354/ame01287
![]() |
[81] | Decho AW (1990) Microbial exopolymer secretions in ocean environments: their role(s) in food webs and marine processes. Oceanogr Mar Biol Ann Rev 28: 73–153. |
[82] | Bhaskar PV, Bhosle NB (2005) Microbial extracellular polymeric substances in marine biogeochemical processes. Current Sci India 88: 45–53. |
[83] | Orcutt BN, Sylvan JB, Rogers DR (2015) Carbon fixation by basalt–hosted microbial communities. Front Microbiol 6: 904. doi: 10.3389/fmicb.2015.00904. |
[84] |
Mislan KAS, Stock CA, Dunne JP, et al. (2014) Group behavior among model bacteria influence particulate carbon remineralization depths. J Mar Res 72: 183–218. doi: 10.1357/002224014814901985
![]() |
[85] | Jacobsen TR, Azam F (1984) Role of bacteria in copepod fecal pellet decomposition: Colonization, growth-rates and mineralization. Bull Mar Sci 35: 495–502. |
[86] | Magalhães CM, Wiebe W.J, Jove SB, et al. (2006). Inorganic nitrogen dynamics in the intertidal rocky biofilms and sediments of the Douro River Estuary (Portugal). Estuaries 28: 592–607. |
[87] |
Magalhães CM, Joye SB, Moreira RM, et al. (2005) Effect of salinity and inorganic nitrogen concentrations on nitrification and denitrification rates in intertidal sediments and rocky biofilms of the Douro River estuary, Portugal. Water Res 39: 1783–1794. doi: 10.1016/j.watres.2005.03.008
![]() |
[88] |
Rao TS (2003) Temporal variations in an estuarine biofilm: with emphasis on nitrate reduction. Estuar Coast Shelf S 58: 67–75. doi: 10.1016/S0272-7714(03)00060-X
![]() |
[89] |
Revsbech NP, Risgaard-Petersen N, Schramm A, et al. (2006) Nitrogen transformations in stratified aquatic microbial ecosystems. A van Leeuw 90: 361–375. doi: 10.1007/s10482-006-9087-5
![]() |
[90] | Hamm RE, Thomoson TG (1941) Dissolved nitrogen in the seawater of the Northeast Pacific with notes on the total carbon dioxide and dissolved oxygen. J Mar Res 4: 11–27. |
[91] |
Li M, Gu J-D (2011) Advances in methods for detection of anaerobic ammonium oxidizing (anammox) bacteria. Appl Microbiol Biotechnol 90: 1241–1252. doi: 10.1007/s00253-011-3230-6
![]() |
[92] |
Awata T, Tanabe, K, Kindaichi T, et al. (2012) Influence of temperature and salinity on microbial structure of marine anammox bacteria. Water Sci Technol 66: 958–964. doi: 10.2166/wst.2012.234
![]() |
[93] |
Waite RD, Papakonstantinopoulou A, Littler E, et al. (2005) Transcriptome analysis of Pseudomonas aeruginosa growth: comparison of gene expression in planktonic cultures and developing and mature biofilms. J Bacteriol 187: 6571–6576. doi: 10.1128/JB.187.18.6571-6576.2005
![]() |
[94] |
Karatan E, Watnick P (2009) Signals, regulatory networks, and materials that build and break bacterial biofilms. Microbiol Mol Biol R 73: 310–347. doi: 10.1128/MMBR.00041-08
![]() |
[95] | Dötsch A, Eckweiler D, Schniederjans M, et al. (2011) The Pseudomonas aeruginosa transcriptome in planktonic cultures and static biofilms using RNA sequencing. PLoS ONE 7: e31092. doi:10.1371/journal.pone.0031092. |
[96] |
Dang H, Lovell CR (2016) Microbial surface colonization and biofilm development in marine environments. Microbiol Mol Biol R 80: 91–138. doi: 10.1128/MMBR.00037-15
![]() |
[97] |
Zimmermann-Timm H, Holst H, Müller S (1998) Seasonal dynamics of aggregates and their typical biocoenosis in the Elbe estuary. Estuaries 21: 613–621. doi: 10.2307/1353299
![]() |
[98] | Crump B, Baross J, Simenstad C (1998) Dominance of particle-attached bacteria in the Columbia River estuary, USA. Aquat Microb Ecol 14:7–18. |
[99] | Caron D (1987) Grazing of attached bacteria by heterotrophic microflagellates. Microb Ecol 13: 203–218. |
[100] |
Rogerson A, Anderson OR, Vogel C (2003) Are planktonic naked amoebae predominately floc associated or free in the water column. J Plankton Res 25: 1359–1365. doi: 10.1093/plankt/fbg102
![]() |
[101] |
Lesen AE, Juhl AR, Anderson OR (2010) Abundance and biomass of heterotrophic microplankton in the lower Hudson River Estuary, USA: Potential importance of naked, planktonic amebas for bacterivory and carbon flux. Aquat Microb Ecol 61: 45–56. doi: 10.3354/ame01434
![]() |
[102] | Anderson OR (2011) Particle-associated planktonic naked amoebae in the Hudson Estuary: size-fraction related densities, cell sizes and estimated carbon content. Acta Protozool 50: 15–22. |
[103] |
Juhl A, Anderson OR (2014) Geographic variability in amoeboid protists and other microbial groups in the water column of the lower Hudson River Estuary (New York, USA). Estuar Coast Shelf S 151: 45–53. doi: 10.1016/j.ecss.2014.09.020
![]() |
[104] |
Dupuy C, Agogué H, Guizien K, et al. (ed.) (2014) Trophic significance of microbial biofilm in tidal flats. J Sea Res 92: 1–178. doi: 10.1016/j.seares.2014.07.002
![]() |
[105] |
Dupuy C, Mallet C, Guizien K, et al. (2014) Sequential resuspension of biofilm components (viruses, prokaryotes and protists) as measured by erodimetry experiments in the Brouage mudflat (French Atlantic coast). J Sea Res 92: 56–65. doi: 10.1016/j.seares.2013.12.002
![]() |
[106] |
Montanié H, Ory P, Orvain F, et al. (2014) Microbial interactions in marine water amended by eroded benthic biofilm: A case study from an intertidal mudflat. J Sea Res 92: 74–85. doi: 10.1016/j.seares.2013.11.011
![]() |
[107] |
Saint-Béat B, Dupuy C, Agogué H, et al. (2014) How does the resuspension of the biofilm alter the functioning of the benthos-pelagos coupled food web of a bare mudflat in Marennes-Oléron Bay (NE Atlantic). J Sea Res 92: 144–157. doi: 10.1016/j.seares.2014.02.003
![]() |
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Description | Magnitude | |||
Day | Win (kg/s) | Tin ( °C) | Pin (Mpa) | Q |
0.615 | 249.3 | 10.2 | 887.26 | 14/05/2003 |
0.581 | 198.1 | 3.47 | 865.02 | 21/05/2003 |
Absorber tube length | 450 m |
Absorber tube outer diameter | 0.058 m |
Absorber tube inner diameter | 0.025 m |
Glass pipe outer diameter | 0.058 m |
Glass pipe inner diameter | 0.0564 m |
The thickness of glass pipe | 0.0016 m |
The emissivity of glass pipe | 0.9 |
Steel pipe outer diameter | 0.028 m |
Steel pipe inner diameter | 0.025 m |
The thickness of steel pipe | 0.003 m |
The emissivity of steel pipe | 0.87 |
Steel pipe thermal conductivity of steel pipe steel pipe steel pipe | 18 W/m K |
Description | Magnitude | |||
Day | Win (kg/s) | Tin ( °C) | Pin (Mpa) | Q |
0.615 | 249.3 | 10.2 | 887.26 | 14/05/2003 |
0.581 | 198.1 | 3.47 | 865.02 | 21/05/2003 |
Absorber tube length | 450 m |
Absorber tube outer diameter | 0.058 m |
Absorber tube inner diameter | 0.025 m |
Glass pipe outer diameter | 0.058 m |
Glass pipe inner diameter | 0.0564 m |
The thickness of glass pipe | 0.0016 m |
The emissivity of glass pipe | 0.9 |
Steel pipe outer diameter | 0.028 m |
Steel pipe inner diameter | 0.025 m |
The thickness of steel pipe | 0.003 m |
The emissivity of steel pipe | 0.87 |
Steel pipe thermal conductivity of steel pipe steel pipe steel pipe | 18 W/m K |