Article
Environmental Sciences
Zeyi Niu, Lei Zhang, Peiming Dong, Fuzhong Weng, Wei Huang
Summary: Assimilating FY-3D MWTS-2 data into the WRF model can improve the forecast performance and reduce the average track error for typhoon Lekima. The assimilation of satellite radiances plays a crucial role in forecasting the landfall of typhoon Lekima three days in advance.
Article
Environmental Sciences
Chunqi Shen, Qian Liao, Harvey A. Bootsma, Brenda Moraska Lafrancois
Summary: The invasion of dreissenid mussels has had a significant impact on the physical environment and nutrient cycling of the Great Lakes, leading to the resurgence of filamentous green algae. The deposition of sloughed algae deteriorates water quality, pollutes recreational beaches, and contributes to avian botulism outbreaks. A model was developed to track the transport of algae fragments and determine their fate. The model revealed that the primary deposition sites were at mid-depth locations, with Platte Bay's shoreline beach being particularly vulnerable to fouling.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Marina Amadori, Virginia Zamparelli, Giacomo De Carolis, Gianfranco Fornaro, Marco Toffolon, Mariano Bresciani, Claudia Giardino, Francesca De Santi
Summary: This study investigates the possibility of retrieving surface water velocity from SAR Doppler analysis in medium-size lakes, revealing an overestimation of results which may be attributed to small-scale variations of topography and wind. It suggests the need for developing Geophysical Model Functions (GMFs) suitable for lake environments by considering factors like lake bathymetry and SAR backscatter gradient.
Article
Public, Environmental & Occupational Health
Cecilia Cordeiro da Silva, Clarisse Lins de Lima, Ana Clara Gomes da Silva, Eduardo Luiz Silva, Gabriel Souza Marques, Lucas Job Brito de Araujo, Luiz Antonio Albuquerque Junior, Samuel Barbosa Jatoba de Souza, Maira Araujo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Anwar Musah, Patty Kostkova, Wellington Pinheiro dos Santos, Abel Guilhermino da Silva Filho
Summary: The study introduced a tool for real-time spatio-temporal analysis using machine learning, successfully predicting the distribution of Covid-19 in Brazil. Linear regression method performed the best, providing accurate predictions with good data distribution.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Biotechnology & Applied Microbiology
Hongxiang Yan, Mark S. Wigmosta, Ning Sun, Michael H. Huesemann, Song Gao
Summary: The study developed a real-time microalgae growth forecasting system that utilizes ensemble data assimilation to improve short-term biomass predictions. Validation results demonstrated that the system can significantly enhance microalgae growth forecasting accuracy compared to models without assimilation.
BIOTECHNOLOGY AND BIOENGINEERING
(2021)
Article
Environmental Sciences
Yineng Li, Shaotian Li, Shiqiu Peng, Yuhang Zhu, Fenghua Zhou, Shilin Tang
Summary: This study introduces an updated version of the real-time Experimental Platform of Marine Environment Forecasting system for the North Indian Ocean, called EPMEF-NIO. The updates include adding the western Indian Ocean to the regions for weather, surge, and wave forecasts, increasing the horizontal resolutions for the two-domain weather forecast, adding a three-domain-nested wave forecast, and extending the length of the forecast time. The assessment based on substantial observations shows that the EPMEF-NIO performs well in weather, wave, and storm surge forecasts, thanks to the spectacular techniques employed in the system.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Engineering, Civil
Haojing Shen, D-J Seo, Haksu Lee, Yuqiong Liu, Seongjin Noh
Summary: This study introduces an adaptive extension of a conditional bias-penalized ensemble Kalman Filter for conditional bias-aware data assimilation. The method is compared with the ensemble Kalman Filter for 6 headwater basins in Texas using operational lumped hydrologic models. The results show that conditional bias frequently occurs when assimilating streamflow observations during precipitation and drainage events, and larger discharges are associated with larger conditional bias. Conditional bias-aware data assimilation improves over the ensemble Kalman Filter, particularly during sharp rises in streamflow. The average relative reduction in root mean square error of the ensemble mean streamflow analysis by conditional bias-aware data assimilation is 31.5% for all observed flow ranges and 32.1% for flow exceeding 200 cms. The flow-dependent marginal information content of the observations varies significantly with the streamflow response and conditional bias.
JOURNAL OF HYDROLOGY
(2022)
Article
Geography
Robert Stewart, Samantha Erwin, Jesse Piburn, Nicholas Nagle, Jason Kaufman, Alina Peluso, J. Blair Christian, Joshua Grant, Alexandre Sorokine, Budhendra Bhaduri
Summary: In the early stages of the pandemic, there was an urgent need for situational awareness. Existing forecasting models, such as the SIR model, were hindered by limited data and the unavailability of key information on mobility, contact tracing, and local policy variations. However, data on new cases from reliable sources like Johns Hopkins University and the NY Times were utilized to develop the CCSAT tool, which provided stable and reliable estimates for monitoring and decision support at the county level.
Article
Engineering, Marine
Georgy I. Shapiro, Jose M. Gonzalez-Ondina, Mohammed Salim, Jiada Tu, Muhammad Asif
Summary: This study introduces a relocatable operational ocean model (ReOMo) utilizing the nesting with data assimilation algorithm, demonstrating high computational efficiency and better resolution compared to the parent model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Meteorology & Atmospheric Sciences
Hancheng Ye, Wei You, Zengliang Zang, Xiaobin Pan, Daichun Wang, Nan Zhou, Yiwen Hu, Yanfei Liang, Peng Yan
Summary: An experiment was conducted to evaluate the potential impact of an aerosol lidar monitoring network in China on air quality prediction. The results showed that integrating lidar measurements into the data assimilation system significantly improved the accuracy and spatial distribution prediction of PM2.5. The improvement effects were better in Central and East China. The positive effect of assimilation on PM2.5 prediction increased with an increase in lidar number, but the improvement gradually decreased with more lidars. It is important to balance forecasting effect and economic cost when establishing a lidar observation network.
ATMOSPHERIC RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Chandra Prakash, Anurag Barthwal, Debopam Acharya
Summary: In recent years, flooding has become a major problem worldwide, causing damage to property and human life. However, the use of emerging technologies, such as IoT, can help predict floods in advance and mitigate the damage. This study developed an IoT-based prototype to collect hydrological and meteorological data for flood prediction. The collected data were analyzed and classified using the LSTM model, and the system accurately predicted the flood event state with high F1-scores.
IEEE SENSORS JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Shuqi Lin, Leon Boegman, Shiliang Shan, Ryan Mulligan
Summary: For enhanced public safety and water resource management, a three-dimensional operational lake hydrodynamic forecasting system, COASTLINES, was developed. The system accurately predicts lake water levels, temperatures, and other variables, with real-time visualization available on a website. Validation against observation data and satellite images confirms the accuracy of the forecasts. This forecasting system has applications in coastal flooding and water resource management.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Construction & Building Technology
Ali Kazemian, Behrokh Khoshnevis
Summary: This study introduces four techniques for inline real-time extrusion quality monitoring during construction 3D printing, with computer vision being identified as the most reliable and accurate technique. Electrical resistivity measurements, on the other hand, appear to be the least effective in detecting material variations in this study.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Review
Engineering, Civil
Farzad Piadeh, Kourosh Behzadian, Amir M. Alani
Summary: This paper provides a comprehensive review of the current state and future trends of real-time flood forecasting models in urban drainage systems. It suggests that further investigation should be conducted on the combination of various real-time rainfall measurements and the inclusion of other real-time data, as well as the development of artificial intelligence techniques.
JOURNAL OF HYDROLOGY
(2022)
Article
Ecology
Marine Randon, Michael Dowd, Ruth Joy
Summary: Monitoring technologies now allow real-time animal location information to be obtained, which can be combined with movement models to predict future trajectories. This paper introduces a state-space model within a comprehensive data assimilative framework for probabilistic animal movement forecasting. The framework is validated through experiments and a case study on short-term forecasting of killer whales.
Correction
Environmental Sciences
Bieito Fernandez Castro, Oscar Sepulveda Steiner, Deborah Knapp, Thomas Posch, Damien Bouffard, Alfred Wueest
Article
Environmental Sciences
Bieito Fernandez Castro, Oscar Sepulveda Steiner, Deborah Knapp, Thomas Posch, Damien Bouffard, Alfred Wueest
Summary: The study explored the formation, persistence, and breakdown of harmful blooms of Planktothrix rubescens in Lake Zurich. Turbulent mixing played a significant role in the persistence of the thin layer during the summer, while nighttime convection was identified as the main mechanism driving the breakdown of the cyanobacterial layer in autumn.
Article
Environmental Sciences
Cintia L. Ramon, Hugo N. Ulloa, Tomy Doda, Damien Bouffard
Summary: The interaction between a uniform cooling rate at the lake surface and sloping bathymetry efficiently drives cross-shore water exchanges. This study examines how moderate winds affect convective cross-shore transport in lakes, revealing that wind can modify the convective circulation and enhance cross-shore exchange.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Bieito Fernandez Castro, Marian Pena, Enrique Nogueira, Miguel Gilcoto, Esperanza Broullon, Antonio Comesana, Damien Bouffard, Alberto C. Naveira Garabato, Beatriz Mourino-Carballido
Summary: Research shows that turbulent mixing generated by the swimming activity of marine organisms can be as efficient as geophysical turbulence, enhancing vertical mixing in the ocean. This has significant implications for productive upper ocean regions.
Article
Multidisciplinary Sciences
Sapna Sharma, Alessandro Filazzola, Thi Nguyen, M. Arshad Imrit, Kevin Blagrave, Damien Bouffard, Julia Daly, Harley Feldman, Natalie Felsine, Harrie-Jan Hendricks-Franssen, Nikolay Granin, Richard Hecock, Jan Henning L'Abee-Lund, Ed Hopkins, Neil Howk, Michael Iacono, Lesley B. Knoll, Johanna Korhonen, Hilmar J. Malmquist, Wlodzimierz Marszelewski, Shin-Ichiro S. Matsuzaki, Yuichi Miyabara, Kiyoshi Miyasaka, Alexander Mills, Lolita Olson, Theodore W. Peters, David C. Richardson, Dale M. Robertson, Lars Rudstam, Danielle Wain, Holly Waterfield, Gesa A. Weyhenmeyer, Brendan Wiltse, Huaxia Yao, Andry Zhdanov, John J. Magnuson
Summary: In recent years, the accelerated ice loss in lakes has had significant impacts on winter ecological processes. Through interdisciplinary integration, we can enhance our understanding of the spatial and temporal patterns of ice loss and its consequences. The inclusion of lake ice records in future studies will contribute to harmonizing observations across different regions and facilitate interdisciplinary research.
Correction
Multidisciplinary Sciences
Sapna Sharma, Alessandro Filazzola, Thi Nguyen, M. Arshad Imrit, Kevin Blagrave, Damien Bouffard, Julia Daly, Harley Feldman, Natalie Feldsine, Harrie-Jan Hendricks-Franssen, Nikolay Granin, Richard Hecock, Jan Henning L'Abee-Lund, Ed Hopkins, Neil Howk, Michael Iacono, Lesley B. Knoll, Johanna Korhonen, Hilmar J. Malmquist, Wlodzimierz Marszelewski, Shin-Ichiro S. Matsuzaki, Yuichi Miyabara, Kiyoshi Miyasaka, Alexander Mills, Lolita Olson, Theodore W. Peters, David C. Richardson, Dale M. Robertson, Lars Rudstam, Danielle Wain, Holly Waterfield, Gesa A. Weyhenmeyer, Brendan Wiltse, Huaxia Yao, Andry Zhdanov, John J. Magnuson
Article
Geosciences, Multidisciplinary
T. Doda, H. N. Ulloa, C. L. Ramon, A. Wuest, D. Bouffard
Summary: This research demonstrates the impact of the interaction between penetrative convection and downslope gravity currents on the fluid dynamics and transport in littoral aquatic systems. The study reveals that convective plumes can penetrate gravity currents, leading to large vertical fluctuations that enhance vertical mixing and erode the stratified flow, thus limiting basin-scale transport.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Limnology
Maciej Bartosiewicz, Jessica Venetz, Saskia Laeubli, Oscar Sepulveda Steiner, Damien Bouffard, Jakob Zopfi, Moritz F. F. Lehmann
Summary: The study reveals the existence of methane paradox in oxygenated waters of a lake and identifies the factors contributing to the variability in its magnitude. It also suggests that methanogenesis in zooplankton detritus is stimulated through the addition of methylphosphonate.
LIMNOLOGY AND OCEANOGRAPHY
(2023)
Article
Limnology
Pascal Perolo, Nicolas Escoffier, Hannah E. Chmiel, Gael Many, Damien Bouffard, Marie-Elodie Perga
Summary: In alkaline freshwater systems, bicarbonates can support gross primary production (GPP) even at low CO2 concentrations. However, the contribution of bicarbonates to GPP in lakes has not been quantified throughout the seasons. This study analyzes the daily stoichiometric ratios of CO2-O-2 and alkalinity-O-2 in a deep hardwater lake, revealing that alkalinity is the dominant inorganic carbon source for GPP in both littoral and pelagic environments during the stratified period.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Olivia Desgue-Itier, Laura Melo Vieira Soares, Orlane Anneville, Damien Bouffard, Vincent Chanudet, Pierre Alain Danis, Isabelle Domaizon, Jean Guillard, Theo Mazure, Najwa Sharaf, Frederic Soulignac, Viet Tran-Khac, Brigitte Vincon-Leite, Jean-Philippe Jenny
Summary: The long-term effects of climate change on lakes globally include substantial changes in thermal regime and oxygen solubility, which can alter ecosystem processes, habitats, and substance concentrations. Although long-term model projections of climate change effects on lakes have been developed, they are rarely compared with multi-decade observations. Additionally, global-scale forcing parameters in lake models have limitations that require significant downscaling. In this study, the effects of climate change on thermal regime and oxygen solubility were analyzed in the four largest French peri-alpine lakes over a period of 1850-2100. The results indicate a critical alteration in lake thermal and oxygen conditions in the coming decades and underscore the need for better integration of long-term lake observatories data and lake models to anticipate climate effects on lake thermal regimes and habitats.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Artur Safin, Damien Bouffard, Firat Ozdemir, Cintia L. Ramon, James Runnalls, Fotis Georgatos, Camille Minaudo, Jonas Sukys
Summary: In this study, a new Bayesian inference method is proposed for constructing a three-dimensional model of lakes, considering stochastic weather and high-frequency observational data. By combining Bayesian inference with hydrodynamics software, uncertainty in atmospheric forcing is mitigated, and a bidirectional long short-term memory neural network is used to improve uncertainty quantification in the particle filter.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Geosciences, Multidisciplinary
Tomy Doda, Cintia L. Ramon, Hugo N. Ulloa, Alfred Wuest, Damien Bouffard
Summary: This study focuses on the seasonality of lateral transport induced by thermal siphons (TSs) and investigates how seasonally varying forcing conditions control the occurrence and intensity of TSs. Observations from Rotsee, a wind-sheltered temperate lake, show that TSs occur frequently in autumn and efficiently flush the littoral region. The results also reveal a decrease in lateral transport by a factor of 2 due to seasonal changes, and the timing of TSs relates to daily heating and cooling phases.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Marco Toffolon, Luca Cortese, Damien Bouffard
Summary: The freezing time in lakes is predicted through complex mechanistic models or simplified statistical regressions. The SELF model, based on energy balance involving cooling of water and wind-driven mixing, explains the dynamics of inverse stratification. The model suggests a power law dependence of pre-freezing duration on energy fluxes.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Geosciences, Multidisciplinary
Pascal Perolo, Bieito Fernandez Castro, Nicolas Escoffier, Thibault Lambert, Damien Bouffard, Marie-Elodie Perga
Summary: The gas transfer velocity (k) is a major source of uncertainty in assessing lake-atmosphere gas exchange. Existing models vary in predictions, with turbulence level near the air-water interface being a key factor affecting transfer rates. Wind shear and buoyancy-driven convection contribute to near-surface turbulence, impacting gas transfer in lakes.
EARTH SYSTEM DYNAMICS
(2021)
Article
Environmental Sciences
Bieito Fernandez Castro, Damien Bouffard, Cary Troy, Hugo N. Ulloa, Sebastiano Piccolroaz, Oscar Sepulveda Steiner, Hannah E. Chmiel, Lucas Serra Moncadas, Sebastien Lavanchy, Alfred Wuest
Summary: Turbulent mixing in Lake Geneva is strongest in the interior water-column during the summer season, as stratification limits wind-driven mixing near the sediment. These results provide insight for anticipating the effects of climate change on freshwater quality and ecosystem services in large lakes, as stratified conditions become more prevalent.
COMMUNICATIONS EARTH & ENVIRONMENT
(2021)
Article
Engineering, Environmental
Rong-Gui Zhu, Chang-Gui Pan, Feng-Jiao Peng, Chao-Yang Zhou, Jun-Jie Hu, Kefu Yu
Summary: This comprehensive survey investigated the occurrence, bioaccumulation, and trophic magnification of parabens and their metabolite 4-HB in a marine food web. Results showed that parabens were the predominant pollutants in marine organisms, with significant bioaccumulation from sediments. The estimated trophic magnification factor indicated biomagnification for MeP and trophic dilution for 4-HB. Overall, the risks for humans consuming marine organisms were found to be low.
Article
Engineering, Environmental
Andres F. Torres-Franco, Deborah Leroy-Freitas, Cristina Martinez-Fraile, Elisa Rodriguez, Pedro A. Garcia-Encina, Raul Munoz
Summary: Anaerobic and microalgae-based technologies have emerged as sustainable alternatives for municipal wastewater treatment. However, the presence of viruses in the treated wastewater is a major concern for reuse applications. This study assessed the ability of these technologies to reduce viruses during secondary wastewater treatment. The results showed that all technologies were effective in reducing the concentration of viruses, with microalgae-based treatment exhibiting the highest potential for reducing the disinfection requirements of treated wastewater.
Article
Engineering, Environmental
Young Gwang Kim, Sae Yun Kwon, Spencer J. Washburn, Scott C. Brooks, Ji Won Yoon, Lucien Besnard
Summary: The study uses Hg isotope ratios to identify the sources and exposure pathways of mercury in bivalves, finding that dissolved Hg phases in the water column are the primary source and exposure pathway to bivalves. This provides new insights into using bivalves as bioindicators for sediment quality monitoring.
Article
Engineering, Environmental
Hui Geng, Ying Xu, Rui Liu, Dianhai Yang, Xiaohu Dai
Summary: This study investigates the effect of cation exchange resin (CER) on the sequential recovery of hydrogen and methane from anaerobic digestion (AD) and the corresponding mechanisms. The results show that CER can simultaneously enhance the production of hydrogen and methane by promoting the solubilisation, hydrolysis, and acidification of organic matter. Additionally, CER facilitates effective contact between bacteria and organic particulates and reduces the energy barrier for mass transfer during methane production. The study also reveals changes in the microbial community structure and metagenomics during the AD process.
Article
Engineering, Environmental
Xiaojing Lin, Zhan Jin, Shunfeng Jiang, Zhiquan Wang, Suqing Wu, Ke Bei, Min Zhao, Xiangyong Zheng
Summary: Dehumidification combined with addition of absorbent resin supplement (ARS) was used to achieve rapid evaporation of non-pretreated urine, resulting in high water evaporation efficiency and nutrient recovery.
Article
Engineering, Environmental
Yangli Che, Chaoran Lin, Shen Li, Jiao Liu, Longhai Zhu, Shilei Yu, Nan Wang, Haoshuai Li, Mutai Bao, Yang Zhou, Tonghao Si, Rui Bao
Summary: Hydrodynamic processes play a crucial role in the transmission of sediments, microbial assembly, and organic carbon redistribution in the ocean. Through experiments and analysis, we found that hydrodynamics shape the assembly of microbial communities and control the redistribution of different sourced organic carbon, thereby influencing microbial-mediated biogeochemical transformation.
Article
Engineering, Environmental
Chao Chen, Yu Yang, Nigel J. D. Graham, Zhenyu Li, Xingtao Yang, Zhining Wang, Nadia Farhat, Johannes S. Vrouwenvelder, Li -an Hou
Summary: The fouling of seawater reverse osmosis membranes is a persistent challenge in desalination. This study monitored the operational performance of a desalination plant for 7 years and the fouling development in different areas of membrane modules. The findings showed that operational performance declined over time and fouling mainly occurred at the feed side of the modules, with the highest microbial diversity. Keystone species like Chloroflexi and Planctomycetes played an important role in maintaining community structure and biofilm maturation. Polysaccharides, soluble microbial products, marine humic acid-like substances, and inorganic substances contributed to fouling. Overall, biofouling had a significant impact on membrane fouling after 7 years of operation.
Article
Engineering, Environmental
Dan Li, Jieyi Sun, Yibo Fu, Wentao Hong, Heli Wang, Qian Yang, Junhong Wu, Sen Yang, Jianhui Xu, Yunfei Zhang, Yirong Deng, Yin Zhong, Ping'an Peng
Summary: Sulfidation-oxidation treatment of magnetite (Fe3O4) enhances the production of dark center dot OH, which can efficiently degrade dissolved organic matter (DOM) and accelerate carbon cycling.
Article
Engineering, Environmental
Cheng Yu, Kaijun Wang, Kaiyuan Zhang, Ruiyang Liu, Pingping Zheng
Summary: This study implemented a microaerobic-aerobic configuration in a full-scale municipal wastewater treatment facility and investigated the effects on sludge characteristics, pollutant removal, microbial community, and granulation mechanisms. The results showed successful transition from flocculent-activated sludge to well-defined AGS after two months of operation. The primary pathways for pollutant removal were simultaneous nitrification, denitrification, and phosphorus removal. Moreover, the incorporation of internal separators induced shifts in the flow pattern, which promoted granulation.
Article
Engineering, Environmental
Zhe Zhang, Shaoyang Hu, Guangrong Sun, Wei Wang
Summary: Halogenated aromatic disinfection byproducts (DBPs), such as halogenated phenols, have garnered widespread attention due to their high toxicity and prevalence. This study reports on the analysis, occurrence, and cytotoxicity of a group of emerging halogenated aromatic DBPs, known as halogenated polyhydroxyphenols (HPPs), in drinking water.
Article
Engineering, Environmental
Shengyue Chen, Jinliang Huang, Peng Wang, Xi Tang, Zhenyu Zhang
Summary: Accurate prediction of river water quality is crucial for sustainable water management. This study introduces wavelet analysis and transfer learning techniques to assist LSTM modeling, proposing a newly coupled modeling approach that improves short-term prediction of river water quality.
Article
Engineering, Environmental
Bang Du, Xinmin Zhan, Piet N. L. Lens, Yifeng Zhang, Guangxue Wu
Summary: Efficient anaerobic digestion relies on the cooperation of different microorganisms with different metabolic pathways. This study investigated the effects of different operational modes and the addition of powdered activated carbon (PAC) on ethanol metabolic pathways. The results showed that the SBR mode and the presence of CO2 facilitated ethanol metabolism towards propionate production, while the CFR mode with extended solids retention time enriched Geobacter. Adjusting operational modes and PAC addition can modulate anaerobic ethanol metabolism and enrich Geobacter.
Article
Engineering, Environmental
Wanfa Wang, Si-Liang Li, Jun Zhong, Yuanbi Yi, Fujun Yue, Zenglei Han, Qixin Wu, Ding He, Cong-Qiang Liu
Summary: This study compares the carbon biogeochemical processes in karst and non-karst regions within large thermal stratified river-reservoir systems. The results demonstrate that karst reservoirs have a reduced potential for carbon emissions and highlight the importance of considering geologic settings to improve accuracy in regional and global CO2 emission estimates.
Article
Engineering, Environmental
Chunxia Jiang, Zelong Zhao, Dong Zhu, Xiong Pan, Yuyi Yang
Summary: This study analyzed the occurrence and distribution of antibiotic resistance genes (ARGs) in different environmental media of the Yangtze River using metagenomics. Core resistome dominated by multidrug resistance genes was found in all samples, while rare resistome dominated by various resistance genes was more prevalent in plasmids. Specific bacteria were identified as hosts for both core and rare resistomes, with high clinical concern ARGs found in the rare resistome. Particle-associated environment provided the most ideal conditions for resistome hosts. This study provided insights into the genetic locations of ARGs and the community assembly mechanisms of ARG hosts in freshwater environments.
Article
Engineering, Environmental
Yu Zhang, Yongtao He, Linchun Jia, Lei Xu, Zheng Wang, Yueling He, Ling Xiong, Xumeng Lin, Hong Chen, Gang Xue
Summary: By synergizing organic carbon source, thiosulfate, and zero-valent iron, efficient mixotrophic denitrification of oligotrophic secondary effluent can be achieved. Thiosulfate plays a vital role in promoting TN removal efficiency, while corrosion of Fe0 releases OH- to neutralize H+ from thiosulfate-driven denitrification, creating a suitable environment for denitrification. The coordination of thiosulfate and Fe0 maintains the dominance of Thiobacillus for denitrification.
