Formation and Microbial Composition of Biofilms in Drip Irrigation System under Three Reclaimed Water Conditions

As the second source of water for cities, reclaimed water (RW) has become an effective solution to the problem of water scarcity in modern agriculture. However, the formation of biofilm in an RW distribution system seriously affects the performance of the system and has become a technical challenge in RW utilization. In this study, we first showed that several water quality parameters, including five-day biochemical oxygen demand (BOD5), total bacteria count (TB), total nitrogen (TN), and Cl− were the main factors affecting biofilm accumulation in the drip irrigation system (DIS), with the correlation coefficient averaging above 0.85. Second, after 392 to 490 h of system operation, the total biomass and extracellular polymer (EPS) accumulation rate of biofilms increased to a maximum of 0.72 g/m2·h and 0.027g/m2·h, respectively, making this time point a critical point for controlling biofilm accumulation and clogging of the system. Third, we examined changes in biofilm microbial composition over time on Illumina’s MiSeq platform. High throughput sequencing data showed that bacterial community structure and microbial network interaction and modularity changed significantly between 392 and 490 h, resulting in maximum microbial diversity and community richness at 490 h. Spearman correlation analyses between genera revealed that Sphingomonas and Rhodococcus promote biofilm formation due to their hydrophobicity, while Bacillus, Mariniradius, and Arthronema may inhibit biofilm formation due to their antagonistic effects on other genera. In conclusion, this work has clarified the accumulation process and compositional changes of biofilms in agriculture DIS under different RW conditions, which provides a basis for improving RW utilization efficiency and reducing system maintenance costs

Formation and Microbial Composition of Biofilms in Drip Irrigation System under Three Reclaimed Water Conditions

As the second source of water for cities, reclaimed water (RW) has become an effective solution to the problem of water scarcity in modern agriculture. However, the formation of biofilm in an RW distribution system seriously affects the performance of the system and has become a technical challenge in RW utilization. In this study, we first showed that several water quality parameters, including five-day biochemical oxygen demand (BOD5), total bacteria count (TB), total nitrogen (TN), and Cl− were the main factors affecting biofilm accumulation in the drip irrigation system (DIS), with the correlation coefficient averaging above 0.85. Second, after 392 to 490 h of system operation, the total biomass and extracellular polymer (EPS) accumulation rate of biofilms increased to a maximum of 0.72 g/m2·h and 0.027g/m2·h, respectively, making this time point a critical point for controlling biofilm accumulation and clogging of the system. Third, we examined changes in biofilm microbial composition over time on Illumina’s MiSeq platform. High throughput sequencing data showed that bacterial community structure and microbial network interaction and modularity changed significantly between 392 and 490 h, resulting in maximum microbial diversity and community richness at 490 h. Spearman correlation analyses between genera revealed that Sphingomonas and Rhodococcus promote biofilm formation due to their hydrophobicity, while Bacillus, Mariniradius, and Arthronema may inhibit biofilm formation due to their antagonistic effects on other genera. In conclusion, this work has clarified the accumulation process and compositional changes of biofilms in agriculture DIS under different RW conditions, which provides a basis for improving RW utilization efficiency and reducing system maintenance costs

Photovoltaic Power Quality Analysis Based on the Modulation Broadband Mode Decomposition Algorithm

The Broadband Mode Decomposition (BMD) method was previously proposed to solve the Gibbs phenomenon that occurs during photovoltaic signal decomposition; its main idea is to build a dictionary which contains signal features, and to search in the dictionary to solve the problem. However, BMD has some shortcomings; especially if the relative bandwidth of the decomposed signal is not small enough, it may treat a square wave signal as several narrowband signals, resulting in a deviation in the decomposition effect. In order to solve the problem of relative bandwidth, the original signal is multiplied by a high-frequency, single-frequency signal, and the wideband signal is processed as an approximate wideband signal. This is the modulation broadband mode decomposition algorithm (MBMD) proposed in this article. In order to further identify and classify the disturbances in the photovoltaic direct current (DC) signal, the experiment uses composite multi-scale fuzzy entropy (CMFE) to calculate the components after MBMD decomposition, and then uses the calculated value in combination with the back propagation (BP) neural network algorithm. Simulation and experimental signals verify that the method can effectively extract the characteristics of the square wave component in the DC signal, and can successfully identify various disturbance signals in the photovoltaic DC signal

Cobalt and nitrogen co-doped monolithic carbon foam for ultrafast degradation of emerging organic pollutants via peroxymonosulfate activation

Cobalt-based catalysts are expected as one of the most promising peroxymonosulfate (PMS) activators for the removal of organic pollutants from industrial wastewater. However, the easy agglomeration, difficult separation, and secondary pollution of cobalt ions limit their practical application. In this study, a novel, highly efficient, reusable cobalt and nitrogen co-doped monolithic carbon foam (Co-N-CMF) was utilized to activate PMS for ultrafast pollutant degradation. Co-N-CMF (0.2 g/L) showed ultrafast catalytic kinetics and higher total organic carbon (TOC) removal efficiency. Bisphenol A, ciprofloxacin, 2,4-dichlorophenoxyacetic acid, and 2,4-dichlorophenol could be completely degraded after 2, 4, 5, and 5 min, and the TOC removal efficiencies were 77.4 %, 68.9 %, 72.8 %, and 79.8 %, respectively, corresponding to the above pollution. The sulfate radical (SO4•-) was the main reactive oxygen species in Co-N-CMF/PMS based on electron paramagnetic resonance. The ecological structure-activity relationship program analysis via the quantitative structure activity relationship analysis and phytotoxicity assessment revealed that the Co-N-CMF/PMS system demonstrates good ecological safety and ecological compatibility. The Co-N-CMF catalyst has good catalytic activity and facile recycling, which provides a fine method with excellent PMS activation capacity for 2,4-dichlorophenol elimination from simulated industrial wastewater. This study provides new insights into the development of monolithic catalysts for ultrafast wastewater treatment via PMS activation

Search for gravitational waves from Scorpius X-1 with a hidden Markov model in O3 LIGO data

Results are presented for a semicoherent search for continuous gravitational waves from the low-mass x-ray binary Scorpius X-1, using a hidden Markov model (HMM) to allow for spin wandering. This search improves on previous HMM-based searches of Laser Interferometer Gravitational-Wave Observatory data by including the orbital period in the search template grid, and by analyzing data from the latest (third) observing run. In the frequency range searched, from 60 to 500 Hz, we find no evidence of gravitational radiation. This is the most sensitive search for Scorpius X-1 using a HMM to date. For the most sensitive subband, starting at 256.06 Hz, we report an upper limit on gravitational wave strain (at 95% confidence) of h 95 % 0 = 6.16 × 10 − 26 , assuming the orbital inclination angle takes its electromagnetically restricted value ι = 4 4 ° . The upper limits on gravitational wave strain reported here are on average a factor of ∼ 3 lower than in the second observing run HMM search. This is the first Scorpius X-1 HMM search with upper limits that reach below the indirect torque-balance limit for certain subbands, assuming ι = 4 4 °