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Constructed wetlands integrated with microbial fuel cells (MFC-CWs) have been recently developed and tested for removing antibiotics. However, the effects of carbon source availability, electron transfer flux and cathode conditions on antibiotics removal in MFC-CWs through co-metabolism remained unclear. In this study, four experiments were conducted in MFC-CW microcosms to investigate the influence of carbon source species and concentrations, external resistance and aeration duration on sulfamethoxazole (SMX) and tetracycline (TC) removal and bioelectricity generation performance. MFC-CWs supplied with glucose as carbon source outperformed other carbon sources, and moderate influent glucose concentration (200 mg L−1) resulted in the best removal of both SMX and TC. Highest removal percentages of SMX (99.4%) and TC (97.8%) were obtained in MFC-CWs with the external resistance of 700 Ω compared to other external resistance treatments. SMX and TC removal percentages in MFC-CWs were improved by 4.98% and 4.34%, respectively, by increasing the aeration duration to 12 h compared to no aeration. For bioelectricity generation performance, glucose outperformed sodium acetate, sucrose and starch, with the highest voltages of 386 ± 20 mV, maximum power density (MPD) of 123.43 mW m−3, and coulombic efficiency (CE) of 0.273%. Increasing carbon source concentrations from 100 to 400 mg L−1, significantly (p < 0.05) increased the voltage and MPD, but decreased the internal resistance and CE. The highest MPD was obtained when the external resistance (700 Ω) was close to the internal resistance (600.11 Ω). Aeration not only improved the voltage and MPD, but also reduced the internal resistance. This study demonstrates that carbon source species and concentrations, external resistances and aeration duration, all play vital roles in regulating SMX and TC removal in MFC-CWs.
Huiyang Wen; Hui Zhu; Yingying Xu; Baixing Yan; Brian Shutes; Gary Bañuelos; Xinyi Wang. Removal of sulfamethoxazole and tetracycline in constructed wetlands integrated with microbial fuel cells influenced by influent and operational conditions. Environmental Pollution 2020, 272, 115988 .
AMA StyleHuiyang Wen, Hui Zhu, Yingying Xu, Baixing Yan, Brian Shutes, Gary Bañuelos, Xinyi Wang. Removal of sulfamethoxazole and tetracycline in constructed wetlands integrated with microbial fuel cells influenced by influent and operational conditions. Environmental Pollution. 2020; 272 ():115988.
Chicago/Turabian StyleHuiyang Wen; Hui Zhu; Yingying Xu; Baixing Yan; Brian Shutes; Gary Bañuelos; Xinyi Wang. 2020. "Removal of sulfamethoxazole and tetracycline in constructed wetlands integrated with microbial fuel cells influenced by influent and operational conditions." Environmental Pollution 272, no. : 115988.
Plant leaf surface moisture is a frequent meteorological phenomenon that has complicated sources. As such, the determination of whether surface moisture is the input water or only the redistribution of water in the soil–plant–atmosphere ecosystem is of great importance. In this study, δ18O and δD characteristic values of dew, guttation, and soil waters in Buxus sinica var. parvifolia M. Cheng were monitored during the frost-free period (June–September 2017) in Changchun, China, to differentiate the hydraulic relationship among atmospheric vapor, rainwater, soil, dew, and guttation waters and quantitatively distinguish the leaf surface moisture on the canopy and bottom of plants. The water vapor sources of the leaf surface moisture on plants’ canopy and bottom were quantitatively verified in accordance with isotope fractionation and mass conservation principles. Results demonstrated that leaf surface moisture, atmospheric vapor, soil water, and dew were closely related. Leaf surface moisture was mainly the condensation of dew. The sources of canopy and bottom leaf surface moisture were basically the same. The proportions of canopy moisture from plant guttation, atmospheric vapor, and soil water were 2.4%–2.5%, 79.8%–92.4%, and 5.1%–17.8%, respectively. By comparison, the proportions of bottom leaf surface moisture were 0.6%–1.4%, 80.0%–93.0%, and 6.4%–18.6%, respectively. Leaf surface moisture is an important water input in urban systems. Moreover, the characteristic values of stable hydrogen and oxygen isotopes of urban dew are supplemented, and the transformation of atmospheric vapor, rainwater, and soil and dew waters is revealed.
Yingying Xu; Yan Yi; Xu Yang; Yingbo Dou; Xu; Yi; Yang; Dou. Using Stable Hydrogen and Oxygen Isotopes to Distinguish the Sources of Plant Leaf Surface Moisture in an Urban Environment. Water 2019, 11, 2287 .
AMA StyleYingying Xu, Yan Yi, Xu Yang, Yingbo Dou, Xu, Yi, Yang, Dou. Using Stable Hydrogen and Oxygen Isotopes to Distinguish the Sources of Plant Leaf Surface Moisture in an Urban Environment. Water. 2019; 11 (11):2287.
Chicago/Turabian StyleYingying Xu; Yan Yi; Xu Yang; Yingbo Dou; Xu; Yi; Yang; Dou. 2019. "Using Stable Hydrogen and Oxygen Isotopes to Distinguish the Sources of Plant Leaf Surface Moisture in an Urban Environment." Water 11, no. 11: 2287.
The aim of this study was to track the fate of nitrogen derived from fertilizer (Ndff) after fertilization. A field in situ experiment covering an entire growing season by using 15N-doubly-labelled urea as fertilizer was conducted at a paddy field inSanjiang Plain in northeastern China. Results showed that approximately 70% of total nitrogen (TN) output load was from Ndff, and the lateral seepage contributed ~47% and ~40% of TN and Ndff output loads, and the rest of the TN and Ndff output loads were derived from runoff and artificial drainage. The Ndff contents in paddy root, stalk, foliage and kernel increased with increasing fertilization dosages – from the tillering stage to mature stage. Ndff accumulated in the root, stalk and foliage during tillering and the milk stage migrated to the kernel in the mature stage. Most of the residual Ndff in soil was distributed in the top layer (0-10 cm). Crop utilization and gaseous loss were the main fates of Ndff in the paddy field. The proportion of crop utilization with an average value of ~37% increased from 30.29% to 43.52% with increasing fertilization dosages, while the proportion of gaseous loss decreased from 49.61% to 32.74% with increasing fertilization dosages. 180 kg N hm-2 was the optimum fertilization dosage for crop utilization rate and non-point source pollution control in the rice-growing area of Sanjiang Plain.
Xiangfei Yu; Yingying Xu; Hui Zhu; Brian Shutes; Baixing Yan; Xin Chen; Rui Cheng. Tracking the Fate of Fertilizer Nitrogen in a Paddy Rice Field Using Isotope Technology. Polish Journal of Environmental Studies 2019, 29, 419 -428.
AMA StyleXiangfei Yu, Yingying Xu, Hui Zhu, Brian Shutes, Baixing Yan, Xin Chen, Rui Cheng. Tracking the Fate of Fertilizer Nitrogen in a Paddy Rice Field Using Isotope Technology. Polish Journal of Environmental Studies. 2019; 29 (1):419-428.
Chicago/Turabian StyleXiangfei Yu; Yingying Xu; Hui Zhu; Brian Shutes; Baixing Yan; Xin Chen; Rui Cheng. 2019. "Tracking the Fate of Fertilizer Nitrogen in a Paddy Rice Field Using Isotope Technology." Polish Journal of Environmental Studies 29, no. 1: 419-428.
A series of mesocosm-scale horizontal subsurface flow constructed wetlands (HSSF-CWs) were established. In Experiment 1, four artificial aeration (AA) modes, including pre-aeration at 24 h before the input of influent water (PA), aeration at 6 h (6AA) and 12 h (12AA) after the input of influent water and non-aeration (NA), were tested to obtain an optimal aeration mode for chemical oxygen demand (CODCr) and nitrogen removal. The results showed that aeration after the input of influent water could improve the removal efficiencies of CODCr and ammonia-nitrogen (NH4⁺-N), but lead to an accumulation of nitrate-nitrogen (NO3−-N). The above observation demonstrated that a single aeration cannot create an ideal alternation of aerobic and anaerobic conditions for simultaneous nitrification and denitrification. Therefore, HSSF-CWs with intermittent aeration (IA), after the input of influent water and NA were established to evaluate the combined effects of IA and influent COD/N ratios on pollutant removal in Experiment 2. The HSSF-CW with IA exhibited a better performance in CODCr and nitrogen removal compared to HSSF-CW with NA. The highest removal percentages of CODCr (90.1%), NH4+-N (99.8%) and total nitrogen (TN, 99.5%) were achieved at a COD/N ratio of 9.3 in HSSF-CW with IA.
Xin Chen; Hui Zhu; Yingying Xu; Brian Shutes; Baixing Yan; Qingwei Zhou. Effect of Aeration Modes and COD/N Ratios on Organic Matter and Nitrogen Removal in Horizontal Subsurface Flow Constructed Wetland Mesocosms. Water 2018, 10, 1530 .
AMA StyleXin Chen, Hui Zhu, Yingying Xu, Brian Shutes, Baixing Yan, Qingwei Zhou. Effect of Aeration Modes and COD/N Ratios on Organic Matter and Nitrogen Removal in Horizontal Subsurface Flow Constructed Wetland Mesocosms. Water. 2018; 10 (11):1530.
Chicago/Turabian StyleXin Chen; Hui Zhu; Yingying Xu; Brian Shutes; Baixing Yan; Qingwei Zhou. 2018. "Effect of Aeration Modes and COD/N Ratios on Organic Matter and Nitrogen Removal in Horizontal Subsurface Flow Constructed Wetland Mesocosms." Water 10, no. 11: 1530.
The relationship between dew and airborne particles is important in urban ecosystems, but the capability of dew to remove airborne particles remains unclear. During 2015 in Changchun, China, 74 dew and particle samples were collected simultaneously to investigate their chemical characteristics under normal, fog, and haze conditions. Analyses included measuring total dissolved solids, total suspended particulates, PM2.5 and PM10 concentrations, major cations (NH4+, Na+, K+, Ca2+, and Mg2+), major anions (F−, Cl−, SO42-, and NO3-), and organic and elemental carbon. Results showed that air quality deteriorated during haze but improved in fog. The particle size distributions, major cations, and carbonaceous species documented in the dew and airborne particles demonstrated consistent synchronous patterns with values descending in the order haze > normal > fog conditions. We found that dew is a good indicator of near-surface air quality. Specifically, its water-soluble ions and carbonaceous species could be used to distinguish emission sources and to identify the presence of secondary organic carbon. Dew is more effective at removing airborne particles in normal weather than in haze or fog conditions; PM2.5 removal rates were 21.5%, 15.2%, and 13.7% on normal, foggy, and hazy days, respectively. Dew condensation processes reduce concentrations of gaseous and particulate pollutants in the near-surface layer.
Yingying Xu; Xinyue Zhu. Recognizing Dew as an Indicator and an Improver of Near-Surface Air Quality. Advances in Meteorology 2017, 2017, 1 -9.
AMA StyleYingying Xu, Xinyue Zhu. Recognizing Dew as an Indicator and an Improver of Near-Surface Air Quality. Advances in Meteorology. 2017; 2017 ():1-9.
Chicago/Turabian StyleYingying Xu; Xinyue Zhu. 2017. "Recognizing Dew as an Indicator and an Improver of Near-Surface Air Quality." Advances in Meteorology 2017, no. : 1-9.
Dew samples were collected during both normal weather and haze events (hazy days) to investigate the chemical characteristics of dew in Changchun, Jilin, China, from 2013 to 2015. The analysis included measures of the following parameters: pH, electrical conductivity (EC), total dissolved solid (TDS), and the concentration of PM2.5, PM10, major cations (NH4(+), Na(+), K(+), Ca(2+), and Mg(2+)), and major anions (F(-), Cl(-), SO4 (2-), and NO3(-)). The results demonstrated that dew water quality from hazy days was much lower quality than that on normal days with a lower mean pH during hazy days (5.75) when compared with that of normal days (6.56); that is, dew water was more acidic in stable atmospheric conditions. Both EC (542.71 μs/cm) and TDS (271.36 mg/L) of dew on hazy days were higher than that on normal days. The mean concentration of particulate matter <2.5 and 2.5-10 μm in diameter (PM2.5 and PM10, respectively) was 21.69 and 51.56 mg/L on normal days and were over 2.48 and 1.79 times higher on hazy days, respectively; that is, dew removed more fine particles on hazy days. On hazy days, the concentrations of water-soluble ions were 3.01-9.32 times higher than levels on normal days. The concentrations of secondary species and K(+) on hazy days were much higher than those of other ions. The results indicated dew mainly removed aerosols from automobile exhaust, and industrial waste gas emissions, while to a lesser extent dew did scavenge some water-soluble crustal ions.
Yingying Xu; Hui Zhu; Jie Tang. The effects of haze on dew quality in the urban ecosystem of Changchun, Jilin Province, China. Environmental Monitoring and Assessment 2016, 188, 1 .
AMA StyleYingying Xu, Hui Zhu, Jie Tang. The effects of haze on dew quality in the urban ecosystem of Changchun, Jilin Province, China. Environmental Monitoring and Assessment. 2016; 188 (2):1.
Chicago/Turabian StyleYingying Xu; Hui Zhu; Jie Tang. 2016. "The effects of haze on dew quality in the urban ecosystem of Changchun, Jilin Province, China." Environmental Monitoring and Assessment 188, no. 2: 1.
Paikun Zhu; Juhao Li; Zhongying Wu; Xin Chen; Yingying Xu; Bangjiang Lin; Zhangyuan Chen; Yongqi He. Recursive pump-adding scheme for optical superchannel multicasting based on FWM. Optics Communications 2015, 347, 25 -30.
AMA StylePaikun Zhu, Juhao Li, Zhongying Wu, Xin Chen, Yingying Xu, Bangjiang Lin, Zhangyuan Chen, Yongqi He. Recursive pump-adding scheme for optical superchannel multicasting based on FWM. Optics Communications. 2015; 347 ():25-30.
Chicago/Turabian StylePaikun Zhu; Juhao Li; Zhongying Wu; Xin Chen; Yingying Xu; Bangjiang Lin; Zhangyuan Chen; Yongqi He. 2015. "Recursive pump-adding scheme for optical superchannel multicasting based on FWM." Optics Communications 347, no. : 25-30.
Dew and rain water were collected during 2013 and 2014 in Changchun, China. The dew was analyzed and the following parameters were measured: pH, EC, TDS, major anions (F−, Cl−,SO42-, andNO3-), and major cations (NH4+, Na+, K+, Ca2+, and Mg2+). The mean pH, EC, and TDS values of dew were comparable with the values for rainwater. The pH values of dew and rain were 6.72 and 6.16, respectively. Both EC (308 μS/cm) and TDS (154 mg/L) of dew were higher than those in rain samples. The concentration of main ions in dew was 1.5–5.7 times higher than levels in rainwater. The near-neutral pH values in dew were caused by the neutralization of acidity and buffering by the alkaline elements of soil origin (Ca2+). This neutralization was confirmed by a strong correlation between the acidic ions (SO42-andNO3-) and the major cations (Ca2+and Mg2+). Natural dust made an important contribution to the ions present in dews, but the presence of sulfate concentrations that are notably higher than rain water (up to 1584.5 μeq/L) indicated a significant contribution of anthropogenic sources. Dew has the ability to capture particulates, and the purifying effect on the underlying surface was obvious.
Yingying Xu; Hui Zhu; Jie Tang; Yingzi Lin. Chemical Compositions of Dew and Scavenging of Particles in Changchun, China. Advances in Meteorology 2015, 2015, 1 -11.
AMA StyleYingying Xu, Hui Zhu, Jie Tang, Yingzi Lin. Chemical Compositions of Dew and Scavenging of Particles in Changchun, China. Advances in Meteorology. 2015; 2015 ():1-11.
Chicago/Turabian StyleYingying Xu; Hui Zhu; Jie Tang; Yingzi Lin. 2015. "Chemical Compositions of Dew and Scavenging of Particles in Changchun, China." Advances in Meteorology 2015, no. : 1-11.
Due to global warming, a drying and warming trend has been observed over the last 50 years in the Sanjiang Plain of Heilongjiang Province, China, which could significantly affect the condensation of vapor in paddy ecosystems. Dew is a crucial factor in the water and nutrient cycling of farmland ecosystems, and it exerts an important influence on fertilization and other agricultural activities. In order to reveal the effects of global warming on dew variation in a paddy ecosystem, an in situ experiment was conducted in paddy fields in the Sanjiang Plain during the growing seasons of 2011 to 2013. Dew was collected and measured with a poplar stick. The results of correlation analysis between meteorological factors and dew intensity in the paddy ecosystem indicate that the dew point temperature and relative humidity significantly influenced the dew intensity. Based on synchronous meteorological data, a stepwise linear multivariation regression model was established to predict dew amount. The model successfully interpreted the relationship between simulated and measured dew intensity. The results suggest that a warmer and drier climate would lead to a reduction in dew amount because water cannot condense when relative humidity falls below 71%.1. IntroductionGlobal climate change is significantly altering various environmental variables in many countries around the world. This situation could have important effects that seriously threaten populations as well as agriculture, environment, economy, and industry [1]. Atmospheric water vapor is one of the most important factors in determining the Earth’s weather and climate because of its role as a greenhouse gas as well as the large amounts of energy involved in changing water from liquid and solid phases to the gaseous (vapor) phase [2]. As an indicator of water vapor levels in the air, relative humidity (RH) directly affects atmospheric visibility and strongly influences the formation of clouds, fog, and dew. Three sources of water are involved in dew formation in an ecosystem. The dominant one is water vapor in the lower atmosphere (dewfall). The second one originates from the flooded soil (dewrise). The last one is the guttation which is the loss of water and dissolved materials from uninjured plant organs [3–5]. Direct condensation of atmospheric water vapor brings a net gain of water to the soil-plant-water system, compared to guttation from leaves and distillation of soil water [6]. Dew formation is a widespread meteorological and hydrologic phenomenon which can be an important water input in paddy fields [7], and dew also transports nutrients that benefit paddy growth as it condenses on leaves [3, 8]. Dew can also accelerate the dissolution of foliar fertilizer and pesticides which enhances their absorption via leaf tissue [9, 10]. Additionally, some of the nutrients in dew can be assimilated by certain fungal or insect pests [11]. Therefore, monitoring the dew formation may help farm workers determine the appropriate concentration and timing for foliar fertilizer applications.Dew has attracted great interest and has been extensively studied. Experiments have been conducted that the variations in the amounts of dew falling daily or seasonally were observed [12, 13]. In some studies, dew was estimated by a direct weighing method that compared the monitor at the beginning and end of the condensation process [5, 14]. Monitors such as microlysimeters [15], plywood, synthetic velvet [16], glass plates [17], and polyethylene plates [18, 19] have all been used to monitor dew. These direct methods are considered the most accurate. However, manual collection and evaluation of the monitors are required during the early morning. Therefore, models that are able to calculate dew have been considered [20–22].Meteorological factors affect dew formation to a great extent. Nilsson stressed that, in humid Kungsbacka and arid Dodoma, dew volume data were correlated with dry bulb temperature, dew point temperature, wind speed, and cloud cover [23]. Atmospheric pressure, wind speed, and direction distinguished dew in different sites in Poland [24]. In the Philippines, dew formation was found to have a significant linear correlation with the nightly minimum vapor-pressure deficit [4]. Dew correlated positively with relative humidity [19]. A high relative humidity is needed to observe dew, but it does not mean that dew amounts exhibit the maximum, during the relative humidity in the air, reach to 100% [25]. Dew can form only when the temperature of condenser surface is below the dew point temperature. Indeed, the dew point temperature depends on the moisture conditions, and less heat is emitted from underlying surface for dew condensation at a higher relative humidity [26]. The wind speed is a key factor for dew formation. However, the function of wind for dew deposit is complicated. Although the strong wind enhances the heat exchange, this situation may homogenize the temperature quickly and decrease the temperature down below the dew point temperature. Meanwhile, it makes the vapor diffuse rapidly. It is known that wind speed (at 10 m elevation) greater than 3.0 m·s−1 significantly decreases collected dew volumes [27, 28]. Therefore, breeze is beneficial to enhancement of the transition of water vapor and heat loss in horizontal and vertical direction [19]. As a consequence, a mean wind speed as large as 3.5 m·s−1 is too fast to provide sufficient vapor for the frequent condensation [25]. Models based on meteorological factors such as the relative humidity, temperature, and wind speed can simulate observed dew to a satisfactory extent. This method requires less labor, but no internationally accepted standard model exists for dew observation since the conditions that allow the condensation of vapor are complex. Therefore, a suitable model needs to be constructed for each type of ecosystem.Northeastern China is one of the areas mostly influenced by global change and has particular climate characteristics. According to the data from 1949, the climate in the area trended to become warming-drying. It was more obvious in summer and autumn and in sensitive areas such as Sanjiang Plain [29, 30]. The Sanjiang Plain is the largest concentrated area of freshwater wetlands in China. Over the last 50 years, most of the marsh areas have been reclaimed into paddy fields. Large-scale land reclamation severely affects the climate in this region. It has been shown that the annual mean temperature in the Sanjiang Plain has increased by +1.2°C to +2.3°C from 1955 to 1999 [31]. Decreases in annual precipitation have also been observed, falling by −8.9 mm·10 a−1 from 1951 to 2002 [32]; meanwhile, the relative humidity decreased obviously by 5–16% from 1950 to 1985. This trend is expected to continue [33]. Based on previous research, the actual dew reached 26 mm to 31 mm each year in the paddies of the conservation unit area on the Sanjiang Plain. This accounted for 6.0% to 9.0% of the rainfall during the same period [34]. Therefore, dew plays an important role in the water balance of paddy ecosystems, but few studies have focused on the change in dew resulting from climate change. It is hard to distinguish the vapor from the atmosphere or from the flooded soil in a paddy field, and, in the present study, dew is defined as the mixture of dewfall and dewrise. The objectives of this study are to (a) formulate a model based on relative meteorological factors that will predict dew intensity and (b) explore the effect of climate change on dew amount in paddy ecosystems.2. Materials and Methods2.1. Study SiteThe experiment was organized in the Sanjiang Farmland Experimental Station (47°35′N, 133°31′E) of the Chinese Academy of Sciences in Tongjiang, Heilongjiang Province, Northeast China (Figure 1). The station has an area of 7.13 ha. The elevation is approximately 56 m above sea level. The Sanjiang Plain is characterized by a typical temperate semihumid continental monsoon climate with four distinctive seasons and a long freezing period. The frost-free period is 115–130 d, the frozen period is approximately 210 d, and the snow period is roughly 120 d. The average annual temperature is 1.9°C. The average temperature during the experimental period was 15.8°C. The average total annual sunshine is 2304.3 h, and the annual evaporation is 1257.1 mm. Seasonal variation of wind direction is significant, and the annual average wind speed is 3.6 m·s−1. The precipitation from June to September is typically 550 to 600 mm and normally accounts for over 65% of the annual precipitation [35].Figure 1: Location of the experimental station and the monitors installed in the field.2.2. MethodologyMeasurements in the paddy began in mid-May and ended in mid-October for two reasons. First, our study focuses on dew which condenses on leaves, and summer to early autumn is the growing season. Second, the dew point temperature () is below zero after October. Dew was monitored from 2011 to 2013. Polished poplar wood sticks with dimensions of 18 × 3.5 × 3.5 cm (length × width × height) were used as monitors. There were five sites used for dew monitoring. Based on isotopic mass conservation to partition quantitatively the contribution of different vapour sources of dew, dew water consisted of a downward flux of water vapor from above the canopy (98%) and upward fluxes originated from soil evaporation and transpiration of the leaves in the lower canopy (2%) in a cropland [3]. As to paddy dew, the evaporation of surface water was supposed to take more partition. Dewfall and dewrise will be the focus of this study. For each experiment plot, an observation shelf was set up with two layers, a bottom layer (5 cm above surface water level) and a canopy layer. The canopy layer was continually adjusted to the height of the rice canopy. The canopy monitor mainly estimated the dew formed by condensation of atmospheric water vapor, and the lower mon
Yingying Xu; Baixing Yan; Jie Tang. The Effect of Climate Change on Variations in Dew Amount in a Paddy Ecosystem of the Sanjiang Plain, China. Advances in Meteorology 2015, 2015, 1 -9.
AMA StyleYingying Xu, Baixing Yan, Jie Tang. The Effect of Climate Change on Variations in Dew Amount in a Paddy Ecosystem of the Sanjiang Plain, China. Advances in Meteorology. 2015; 2015 ():1-9.
Chicago/Turabian StyleYingying Xu; Baixing Yan; Jie Tang. 2015. "The Effect of Climate Change on Variations in Dew Amount in a Paddy Ecosystem of the Sanjiang Plain, China." Advances in Meteorology 2015, no. : 1-9.
We propose a node architecture supporting optical labeled superchannel switching scheme for elastic optical network. Flexible superchannel/label generation and detection based on optical comb, label swapping with extraction, erasure, re-add are experimentally demonstrated.
Zhongying Wu; Juhao Li; Paikun Zhu; Xin Chen; Jing Guan; Yingying Xu; Zhangyuan Chen; Yongqi He. Experimental Demonstration of Optical Labeled Superchannel Switching for Elastic Optical Network. Optical Fiber Communication Conference 2015, 1 .
AMA StyleZhongying Wu, Juhao Li, Paikun Zhu, Xin Chen, Jing Guan, Yingying Xu, Zhangyuan Chen, Yongqi He. Experimental Demonstration of Optical Labeled Superchannel Switching for Elastic Optical Network. Optical Fiber Communication Conference. 2015; ():1.
Chicago/Turabian StyleZhongying Wu; Juhao Li; Paikun Zhu; Xin Chen; Jing Guan; Yingying Xu; Zhangyuan Chen; Yongqi He. 2015. "Experimental Demonstration of Optical Labeled Superchannel Switching for Elastic Optical Network." Optical Fiber Communication Conference , no. : 1.
We propose a ROADM Add/Drop scheme based on optical comb for elastic optical networks and experimentally demonstrates the feasibility. The scheme supports wide-range subband to superchannel Add/Drop functionality, while greatly saves network devices.
Paikun Zhu; Juhao Li; Luoping Niu; Yingying Xu; Yuanxiang Chen; Xiaopeng Xie; Xin Chen; BingLi Guo; Zhangyuan Chen; Yongqi He. Optical Comb-enabled Cost-effective ROADM Scheme for Elastic Optical Networks. Optical Fiber Communication Conference 2014, 1 .
AMA StylePaikun Zhu, Juhao Li, Luoping Niu, Yingying Xu, Yuanxiang Chen, Xiaopeng Xie, Xin Chen, BingLi Guo, Zhangyuan Chen, Yongqi He. Optical Comb-enabled Cost-effective ROADM Scheme for Elastic Optical Networks. Optical Fiber Communication Conference. 2014; ():1.
Chicago/Turabian StylePaikun Zhu; Juhao Li; Luoping Niu; Yingying Xu; Yuanxiang Chen; Xiaopeng Xie; Xin Chen; BingLi Guo; Zhangyuan Chen; Yongqi He. 2014. "Optical Comb-enabled Cost-effective ROADM Scheme for Elastic Optical Networks." Optical Fiber Communication Conference , no. : 1.