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Zhang S, Pang Y, Xu H, Wei J, Jiang S, Pei H. Shift of phytoplankton assemblages in a temperate lake located on the eastern route of the South-to-North Water Diversion Project. ENVIRONMENTAL RESEARCH 2023; 227:115805. [PMID: 37004852 DOI: 10.1016/j.envres.2023.115805] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 05/08/2023]
Abstract
There remains no consensus on the effects of changes in the environment factors under the action of water diversions on phytoplankton communities. Herein the changing rules applying to phytoplankton communities subject to water diversion were unveiled based on long-term (2011-2021) time-series observations on Luoma Lake, located on the eastern route of the South-to-North Water Diversion Project. We found that nitrogen decreased and then increased, while phosphorus increased after operation of the water transfer project. Algal density and diversity were not affected by water diversion, while the duration of high algal density was shorter after water diversion. Phytoplankton composition had dramatic differences before and after water transfer. The phytoplankton communities exhibited greater fragility when they first experienced a human-mediated disturbance, and then they gradually adapted to more interferences and acquired stronger stability. We furthermore found the niche of Cyanobacteria narrowed while that of Euglenozoa widened under the pressure of water diversion. In addition to WT and DO, the main environmental factor before water diversion was NH4-N, whereas the effect of NO3-N and TN on phytoplankton communities increased after water diversion. These findings fill the knowledge gap as to the consequence of water diversion on water environments and phytoplankton communities.
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Affiliation(s)
- Shasha Zhang
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
| | - Yiming Pang
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
| | - Hangzhou Xu
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China; Shandong Provincial Engineering Center on Environmental Science and Technology, Jinan, 250061, China
| | - Jielin Wei
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
| | - Shan Jiang
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
| | - Haiyan Pei
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China; Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China; Shandong Provincial Engineering Center on Environmental Science and Technology, Jinan, 250061, China; Institute of Eco-Chongming (IEC), Shanghai, 202162, China.
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2
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Chen Y, Chen T, Duan W, Liu J, Si Y, Dong Z. Rapid measurement of brown tide algae using Zernike moments and ensemble learning based on excitation-emission matrix fluorescence. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 294:122547. [PMID: 36870184 DOI: 10.1016/j.saa.2023.122547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 01/27/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Accurate real-time prediction of microalgae density has great practical significance for taking countermeasures before the advent of Harmful algal blooms (HABs), and the non-destructive and sensitive property of excitation-emission matrix fluorescence (EEMF) spectroscopy makes it applicable to online monitoring and control. In this study, an efficient image preprocessing algorithm based on Zernike moments (ZMs) was proposed to extract compelling features from EEM intensities images. The determination of the highest order of ZMs considered both reconstruction error and computational cost, then the optimal subset of preliminarily extracted 36 ZMs was screened via the BorutaShap algorithm. Aureococcus anophagefferens concentration prediction models were developed by combining BorutaShap and ensemble learning models (random forest (RF), gradient boosting decision tree (GBDT), and XGBoost). The experimental results show that BorutaShap_GBDT preserved the superior subset of ZMs, and the integration of BorutaShap_GBDT and XGBoost achieved the highest prediction accuracy. This research provides a new and promising strategy for rapidly measuring microalgae cell density.
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Affiliation(s)
- Ying Chen
- Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China.
| | - Ting Chen
- Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
| | - Weiliang Duan
- Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
| | - Junfei Liu
- Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
| | - Yu Si
- Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
| | - Zhiyang Dong
- Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
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3
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Zhang C, McIntosh KD, Sienkiewicz N, Stelzer EA, Graham JL, Lu J. Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States. WATER RESEARCH 2023; 235:119679. [PMID: 37011576 PMCID: PMC10123349 DOI: 10.1016/j.watres.2023.119679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 06/19/2023]
Abstract
Phytoplankton is the essential primary producer in fresh surface water ecosystems. However, excessive phytoplankton growth due to eutrophication significantly threatens ecologic, economic, and public health. Therefore, phytoplankton identification and quantification are essential to understanding the productivity and health of freshwater ecosystems as well as the impacts of phytoplankton overgrowth (such as Cyanobacterial blooms) on public health. Microscopy is the gold standard for phytoplankton assessment but is time-consuming, has low throughput, and requires rich experience in phytoplankton morphology. Quantitative polymerase chain reaction (qPCR) is accurate and straightforward with high throughput. In addition, qPCR does not require expertise in phytoplankton morphology. Therefore, qPCR can be a useful alternative for molecular identification and enumeration of phytoplankton. Nonetheless, a comprehensive study is missing which evaluates and compares the feasibility of using qPCR and microscopy to assess phytoplankton in fresh water. This study 1) compared the performance of qPCR and microscopy in identifying and quantifying phytoplankton and 2) evaluated qPCR as a molecular tool to assess phytoplankton and indicate eutrophication. We assessed phytoplankton using both qPCR and microscopy in twelve large freshwater rivers across the United States from early summer to late fall in 2017, 2018, and 2019. qPCR- and microscope-based phytoplankton abundance had a significant positive linear correlation (adjusted R2 = 0.836, p-value < 0.001). Phytoplankton abundance had limited temporal variation within each sampling season and over the three years studied. The sampling sites in the midcontinent rivers had higher phytoplankton abundance than those in the eastern and western rivers. For instance, the concentration (geometric mean) of Bacillariophyta, Cyanobacteria, Chlorophyta, and Dinoflagellates at the sampling sites in the midcontinent rivers was approximately three times that at the sampling sites in the western rivers and approximately 18 times that at the sampling sites in the eastern rivers. Welch's analysis of variance indicates that phytoplankton abundance at the sampling sites in the midcontinent rivers was significantly higher than that at the sampling sites in the eastern rivers (p-value = 0.013) but was comparable to that at the sampling sites in the western rivers (p-value = 0.095). The higher phytoplankton abundance at the sampling sites in the midcontinent rivers was presumably because these rivers were more eutrophic. Indeed, low phytoplankton abundance occurred in oligotrophic or low trophic sites, whereas eutrophic sites had greater phytoplankton abundance. This study demonstrates that qPCR-based phytoplankton abundance can be a useful numerical indicator of the trophic conditions and water quality in freshwater rivers.
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Affiliation(s)
- Chiqian Zhang
- Department of Civil and Environmental Engineering, College of Sciences and Engineering, Southern University and A&M College, Baton Rouge, LA 70813, United States
| | - Kyle D McIntosh
- Oak Ridge Institute for Science and Education at the United States Environmental Protection Agency's Office of Research and Development, Oak Ridge, TN 37830, United States
| | - Nathan Sienkiewicz
- Office of Research and Development, United States Environmental Protection Agency, Cincinnati, OH 45268, United States
| | - Erin A Stelzer
- U.S. Geological Survey, Columbus, OH 43229, United States
| | | | - Jingrang Lu
- Office of Research and Development, United States Environmental Protection Agency, Cincinnati, OH 45268, United States.
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4
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Bieroza M, Acharya S, Benisch J, ter Borg RN, Hallberg L, Negri C, Pruitt A, Pucher M, Saavedra F, Staniszewska K, van’t Veen SGM, Vincent A, Winter C, Basu NB, Jarvie HP, Kirchner JW. Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:4701-4719. [PMID: 36912874 PMCID: PMC10061935 DOI: 10.1021/acs.est.2c07798] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/03/2023] [Accepted: 03/03/2023] [Indexed: 06/18/2023]
Abstract
High-frequency water quality measurements in streams and rivers have expanded in scope and sophistication during the last two decades. Existing technology allows in situ automated measurements of water quality constituents, including both solutes and particulates, at unprecedented frequencies from seconds to subdaily sampling intervals. This detailed chemical information can be combined with measurements of hydrological and biogeochemical processes, bringing new insights into the sources, transport pathways, and transformation processes of solutes and particulates in complex catchments and along the aquatic continuum. Here, we summarize established and emerging high-frequency water quality technologies, outline key high-frequency hydrochemical data sets, and review scientific advances in key focus areas enabled by the rapid development of high-frequency water quality measurements in streams and rivers. Finally, we discuss future directions and challenges for using high-frequency water quality measurements to bridge scientific and management gaps by promoting a holistic understanding of freshwater systems and catchment status, health, and function.
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Affiliation(s)
- Magdalena Bieroza
- Department
of Soil and Environment, SLU, Box 7014, Uppsala 750
07 Sweden
| | - Suman Acharya
- Department
of Environment and Genetics, School of Agriculture, Biomedicine and
Environment, La Trobe University, Albury/Wodonga Campus, Victoria 3690, Australia
| | - Jakob Benisch
- Institute
for Urban Water Management, TU Dresden, Bergstrasse 66, Dresden 01068, Germany
| | | | - Lukas Hallberg
- Department
of Soil and Environment, SLU, Box 7014, Uppsala 750
07 Sweden
| | - Camilla Negri
- Environment
Research Centre, Teagasc, Johnstown Castle, Wexford Y35 Y521, Ireland
- The
James
Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, United Kingdom
- School
of
Archaeology, Geography and Environmental Science, University of Reading, Whiteknights, Reading RG6 6AB, United Kingdom
| | - Abagael Pruitt
- Department
of Biological Sciences, University of Notre
Dame, Notre
Dame, Indiana 46556, United States
| | - Matthias Pucher
- Institute
of Hydrobiology and Aquatic Ecosystem Management, Vienna University of Natural Resources and Life Sciences, Gregor Mendel Straße 33, Vienna 1180, Austria
| | - Felipe Saavedra
- Department
for Catchment Hydrology, Helmholtz Centre
for Environmental Research - UFZ, Theodor-Lieser-Straße 4, Halle (Saale) 06120, Germany
| | - Kasia Staniszewska
- Department
of Earth and Atmospheric Sciences, University
of Alberta, Edmonton, Alberta T6G 2E3, Canada
| | - Sofie G. M. van’t Veen
- Department
of Ecoscience, Aarhus University, Aarhus 8000, Denmark
- Envidan
A/S, Silkeborg 8600, Denmark
| | - Anna Vincent
- Department
of Biological Sciences, University of Notre
Dame, Notre
Dame, Indiana 46556, United States
| | - Carolin Winter
- Environmental
Hydrological Systems, University of Freiburg, Friedrichstraße 39, Freiburg 79098, Germany
- Department
of Hydrogeology, Helmholtz Centre for Environmental
Research - UFZ, Permoserstr.
15, Leipzig 04318, Germany
| | - Nandita B. Basu
- Department
of Civil and Environmental Engineering and Department of Earth and
Environmental Sciences, and Water Institute, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Helen P. Jarvie
- Water Institute
and Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - James W. Kirchner
- Department
of Environmental System Sciences, ETH Zurich, Zurich CH-8092, Switzerland
- Swiss
Federal Research Institute WSL, Birmensdorf CH-8903, Switzerland
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5
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Qu Y, Wu N, Guse B, Fohrer N. Distinct indicators of land use and hydrology characterize different aspects of riverine phytoplankton communities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158209. [PMID: 36049691 DOI: 10.1016/j.scitotenv.2022.158209] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 08/16/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
Given the many threats to freshwater biodiversity, we need to be able to resolve which of the multiple stressors present in rivers are most important in driving change. Phytoplankton are a key component of the aquatic ecosystem, their abundance, species richness and functional richness are important indicators of ecosystem health. In this study, spatial variables, physiochemical conditions, water flow alterations and land use patterns were considered as the joint stressors from a lowland rural catchment. A modeling approach combining an ecohydrological model with machine learning was applied. The results implied that land use and flow regime, rather than nutrients, were most important in explaining differences in the phytoplankton community. In particular, the percentage of water body area and medium level residential urban area were key to driving the rising phytoplankton abundance in this rural catchment. The proportion of forest and pasture area were the leading factors controlling the variations of species richness. In this case deciduous forest cover affected the species richness in a positive way, while, pasture share had a negative effect. Indicators of hydrological alteration were found to be the best predictors for the differences in functional richness. This integrated model framework was found to be suitable for analysis of complex environmental conditions in river basin management. A key message would be the significance of forest area preservation and ecohydrological restoration in maintaining both phytoplankton richness and their functional role in river ecosystems.
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Affiliation(s)
- Yueming Qu
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, Kiel, Germany; UK Centre for Ecology and Hydrology, Wallingford, United Kingdom.
| | - Naicheng Wu
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, Kiel, Germany; Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.
| | - Björn Guse
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, Kiel, Germany; Section Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany
| | - Nicola Fohrer
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, Kiel, Germany
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6
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O'Neill EA, Morse AP, Rowan NJ. Effects of climate and environmental variance on the performance of a novel peatland-based integrated multi-trophic aquaculture (IMTA) system: Implications and opportunities for advancing research and disruptive innovation post COVID-19 era. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 819:153073. [PMID: 35038521 DOI: 10.1016/j.scitotenv.2022.153073] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/07/2022] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
Advancing wet peatland 'paludiculture' innovation present enormous potential to sustain carbon-cycles, reduce greenhouse-gas (GHG) gas emissions and to transition communities to low-carbon economies; however, there is limited scientific-evidence to support and enable direct commercial viability of eco-friendly products and services. This timely study reports on a novel, paludiculture-based, integrated-multi-trophic-aquaculture (IMTA) system for sustainable food production in the Irish midlands. This freshwater IMTA process relies on a naturally occurring ecosystem of microalgae, bacteria and duckweed in ponds for managing waste and water quality that is powered by wind turbines; however, as it is recirculating, it does not rely upon end-of-pipe solutions and does not discharge effluent to receiving waters. This constitutes the first report on the effects of extreme weather events on the performance of this IMTA system that produces European perch (Perca fluviatilis), rainbow trout (Oncorhynchus mykiis) during Spring 2020. Sampling coincided with lockdown periods of worker mobility restriction due to COVID-19 pandemic. Observations revealed that the frequency and intensity of storms generated high levels of rainfall that disrupted the algal and bacterial ecosystem in the IMTA leading to the emergence and predominance of toxic cyanobacteria that caused fish mortality. There is a pressing need for international agreement on standardized set of environmental indicators to advance paludiculture innovation that addresses climate-change and sustainability. This study describes important technical parameters for advancing freshwater aquaculture (IMTA), which can be future refined using real-time monitoring-tools at farm level to inform management decision-making based on evaluating environmental indicators and weather data. The relevance of these findings to informing global sustaining and disruptive research and innovation in paludiculture is presented, along with alignment with UN Sustainable Development goals. This study also addresses global challenges and opportunities highlighting a commensurate need for international agreement on resilient indicators encompassing linked ecological, societal, cultural, economic and cultural domains.
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Affiliation(s)
- E A O'Neill
- Bioscience Research Institute, Technological University of the Shannon - Midlands and Midwest, University Road, Athlone, Ireland.
| | - A P Morse
- Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, UK
| | - N J Rowan
- Bioscience Research Institute, Technological University of the Shannon - Midlands and Midwest, University Road, Athlone, Ireland
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7
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Effect of Gated Weir Opening on the Topography and Zooplankton Community of Geum River, South Korea. LAND 2022. [DOI: 10.3390/land11040529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Hydrological changes affect not only the physicochemical factors and habitat structure of river ecosystems, but also the structure of biological communities sensitive to environmental changes, such as zooplankton. In this study, we investigate the effects of weir opening on environmental variables and topographic structures at Sejong Weir in South Korea and monitor the resulting changes in the structure and distribution of the zooplankton community. Weir opening led to increased dissolved oxygen and decreased conductivity, turbidity, chlorophyll a, total phosphorus, and total nitrogen and increased the diversity of topographic structures (reduced pool area and increase riffle and grassland/bare land areas) in the section downstream of Sejong Weir. Prior to weir opening (2015–2016), the cladoceran community was dominated by Chydrous spaeericus and Moina microcopa. After opening (2018–2019), the abundance of other cladoceran communities such as Bosmina groups (Bosmina longiseta, Bosmina fatalis, and Bosminopsis deitersi), Ceriodaphnia sp., and Daphnia obtusa increased. In contrast, the copepod species (Cyclops vicinus and Mesocyclops leukarti) were abundant before weir opening. We conclude that artificial weir opening helped maintain the unique environmental characteristics of the river ecosystem in terms of river continuity and led to a different zooplankton community composition in the new river environment.
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8
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Mao F, Li W, Sim ZY, He Y, Chen Q, Yew-Hoong Gin K. Phycocyanin-rich Synechococcus dominates the blooms in a tropical estuary lake. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 311:114889. [PMID: 35287073 DOI: 10.1016/j.jenvman.2022.114889] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/17/2022] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
Cyanobacterial blooms challenge the safe water supply in estuary reservoirs. Yet, data are limited for the variation of phytoplankton dynamics during an algal bloom event at refined scales, which is essential for interpreting the formation and cessation of blooms. The present study investigated the biweekly abundances and dynamics of pico- and nano-phytoplankton in a tropical estuary lake following a prolonged bloom event. Flow cytometry analysis resolved eight phenotypically distinct groups of phytoplankton assigned to nano-eukaryotes (nano-EU), pico/nano-eukaryotes (PicoNano-EU), cryptophyte-like cells (CRPTO), Microcystis-like cells (MIC), pico-eukaryotes (Pico-EU) and three groups of Synechococcus-like cells. Total phytoplankton abundance ranged widely from 2.4 × 104 to 2.8 × 106 cells cm-3. The phytoplankton community was dominated by Synechococcus-like cells with high phycocyanin content (SYN-PC). Temporal dynamics of the phytoplankton community was phytoplankton- and site-specific. Peak values were observed for SYN-PC, SYN-PE2 (Synechococcus-like cells with low levels of phycoerythrin) and Pico-EU, while the temporal dynamics of other groups were less pronounced. Redundancy analysis (RDA) showed the importance of turbidity as an abiotic factor in the formation of the current SYN-PC induced blooms, and Spearman correlation analysis suggested a competitive relationship between SYN-PC and Pico-EU.
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Affiliation(s)
- Feijian Mao
- Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01, Singapore, 117411, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore
| | - Wenxuan Li
- NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01, Singapore, 117411, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore
| | - Zhi Yang Sim
- NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01, Singapore, 117411, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore
| | - Yiliang He
- Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qiuwen Chen
- Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China
| | - Karina Yew-Hoong Gin
- NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01, Singapore, 117411, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore; Department of Civil and Environmental Engineering, National University of Singapore, 1 Engineering Drive 2, E1A 07-03, Singapore, 117576, Singapore.
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9
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Klamt A, Poulsen SP, Odgaard BV, Hübener T, McGowan S, Jensen HS, Reitzel K. Holocene lake phosphorus species and primary producers reflect catchment processes in a small, temperate lake. ECOL MONOGR 2021. [DOI: 10.1002/ecm.1455] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Anna‐Marie Klamt
- Department of Biology University of Southern Denmark Odense Denmark
- School of Tourism and Geography Yunnan Normal University Kunming China
| | | | | | - Thomas Hübener
- Institute of Biosciences University of Rostock Rostock Germany
| | - Suzanne McGowan
- School of Geography University of Nottingham Nottingham United Kingdom
| | | | - Kasper Reitzel
- Department of Biology University of Southern Denmark Odense Denmark
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10
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Chen X, Jiang Y, Yao Q, Ji J, Evans J, He S. Inelastic hyperspectral Scheimpflug lidar for microalgae classification and quantification. APPLIED OPTICS 2021; 60:4778-4786. [PMID: 34143042 DOI: 10.1364/ao.424900] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/12/2021] [Indexed: 06/12/2023]
Abstract
An inelastic hyperspectral Scheimpflug lidar system was developed for microalgae classification and quantification. The correction for the refraction at the air-glass-water interface was established, making our system suitable for aquatic environments. The fluorescence spectrum of microalgae was extracted by principal component analysis, and seven species of microalgae from different phyla have been classified. It was verified that when the cell density of Phaeocystis globosa was in the range of ${{1}}{{{0}}^4}\sim{{1}}{{{0}}^6}\;{\rm{cell}}\;{\rm{m}}{{\rm{L}}^{- 1}}$, the cell density had a linear relationship with the fluorescence intensity. The experimental results show our system can identify and quantify microalgae, with application prospects for microalgae monitoring in the field environment and early warning of red tides or algal blooms.
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11
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Bowes MJ, Read DS, Joshi H, Sinha R, Ansari A, Hazra M, Simon M, Vishwakarma R, Armstrong LK, Nicholls DJE, Wickham HD, Ward J, Carvalho LR, Rees HG. Nutrient and microbial water quality of the upper Ganga River, India: identification of pollution sources. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:533. [PMID: 32691241 DOI: 10.1007/s10661-020-08456-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 06/23/2020] [Indexed: 06/11/2023]
Abstract
The Ganga River is facing mounting environmental pressures due to rapidly increasing human population, urbanisation, industrialisation and agricultural intensification, resulting in worsening water quality, ecological status and impacts on human health. A combined inorganic chemical, algal and bacterial survey (using flow cytometry and 16S rRNA gene sequencing) along the upper and middle Ganga (from the Himalayan foothills to Kanpur) was conducted under pre-monsoon conditions. The upper Ganga had total phosphorus (TP) and total dissolved nitrogen concentrations of less than 100 μg l-1 and 1.0 mg l-1, but water quality declined at Kannauj (TP = 420 μg l-1) due to major nutrient pollution inputs from human-impacted tributaries (principally the Ramganga and Kali Rivers). The phosphorus and nitrogen loads in these two tributaries and the Yamuna were dominated by soluble reactive phosphorus and ammonium, with high bacterial loads and large numbers of taxa indicative of pathogen and faecal organisms, strongly suggesting sewage pollution sources. The high nutrient concentrations, low flows, warm water and high solar radiation resulted in major algal blooms in the Kali and Ramganga, which greatly impacted the Ganga. Microbial communities were dominated by members of the Phylum Proteobacteria, Bacteriodetes and Cyanobacteria, with communities showing a clear upstream to downstream transition in community composition. To improve the water quality of the middle Ganga, and decrease ecological and human health risks, future mitigation must reduce urban wastewater inputs in the urbanised tributaries of the Ramganga, Kali and Yamuna Rivers.
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Affiliation(s)
- Michael J Bowes
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK.
| | - Daniel S Read
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
| | - Himanshu Joshi
- Indian Institute of Technology, Roorkee, Uttarakhand, 247667, India
| | - Rajiv Sinha
- Indian Institute of Technology, Kanpur, Uttar Pradesh, 208016, India
| | - Aqib Ansari
- Indian Institute of Technology, Kanpur, Uttar Pradesh, 208016, India
| | - Moushumi Hazra
- Indian Institute of Technology, Roorkee, Uttarakhand, 247667, India
| | - Monica Simon
- Indian Institute of Technology, Roorkee, Uttarakhand, 247667, India
| | | | - Linda K Armstrong
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
| | - David J E Nicholls
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
| | - Heather D Wickham
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
| | - Jade Ward
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
- British Geological Survey, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
| | - Laurence R Carvalho
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Edinburgh, Midlothian, EH26 0QB, UK
| | - H Gwyn Rees
- UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
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12
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Zhao G, Pan B, Li Y, Zheng X, Zhu P, Zhang L, He H. Phytoplankton in the heavy sediment-laden Weihe River and its tributaries from the northern foot of the Qinling Mountains: community structure and environmental drivers. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:8359-8370. [PMID: 31900784 DOI: 10.1007/s11356-019-07346-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 12/09/2019] [Indexed: 06/10/2023]
Abstract
The Weihe River Basin plays an indispensable role in the water environment and water ecological balance in Northwest China and the lower reaches of the Yellow River. In the context of river ecosystems being affected by climate change and human activities, phytoplankton, as primary producers in food webs, serve as an important ecological indicator of environmental change. As such, systematic surveys on the water environment and phytoplankton were carried out in the Weihe River mainstem and its five tributaries from the northern foot of the Qinling Mountains from October to November 2017 and April to May 2018. In total, 154 species of phytoplankton belonging to 69 genera were identified in the heavy sediment-laden mainstem, with an average density and biomass of 177.57*104 cell L-1 and 6.53 mg L-1, respectively. Furthermore, a total of 207 species of phytoplankton belonging to 81 genera were identified in the five tributaries originating in the Qinling Mountains, with an average density and biomass of 80.98*104 cell L-1 and 1.90 mg L-1, respectively. Canonical correspondence analysis (CCA) was employed to analyze the relationship between phytoplankton communities and environmental factors. The results of data screening and Monte Carlo sequencing tests revealed that water temperature (WT), dissolved oxygen (DO), and nitrite nitrogen (NO2--N) were the primary environmental factors affecting the distribution and abundance of phytoplankton in the Weihe River mainstem. WT, flow velocity (V), pH, conductivity (Cond), and NO2--N predominantly structured the phytoplankton communities in the Weihe River tributaries. The results of this study are useful for the ecological management and conservation of the mainstem and tributaries of the Weihe River Basin.
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Affiliation(s)
- Gengnan Zhao
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| | - Baozhu Pan
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China.
| | - Yiping Li
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China
| | - Xing Zheng
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| | - Penghui Zhu
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| | - Lei Zhang
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| | - Haoran He
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
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13
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Dong F, Liu J, Li C, Lin Q, Zhang T, Zhang K, Sharma VK. Ferrate(VI) pre-treatment and subsequent chlorination of blue-green algae: Quantification of disinfection byproducts. ENVIRONMENT INTERNATIONAL 2019; 133:105195. [PMID: 31654918 PMCID: PMC7711035 DOI: 10.1016/j.envint.2019.105195] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 08/26/2019] [Accepted: 09/16/2019] [Indexed: 05/30/2023]
Abstract
Algal organic matter (AOM) from seasonal algal blooms may be an important precursor of disinfection byproducts (DBPs) in drinking water. This paper presents the effect of ferrate(VI) treatment on two blue-green algae, Chlorella sp. and Pseudanabaena limnetica, in eutrophic water. The results demonstrated that Fe(VI) removed the algal cells by causing cell death, apoptosis, and lost integrity, and decreased AOM (in terms of total organic carbon) in water via oxidation and coagulation. Chlorination of the Fe(VI) pre-oxidized algal water samples generated halogenated DBPs (including trihalomethanes, haloacetic acids, haloketones, chloral hydrate, haloacetonitriles, and trichloronitromethane), but the concentrations of DBPs were lower than those formed in the chlorinated samples without pre-treatment by Fe(VI). Higher Fe(VI) dose, longer oxidation time, and alkaline pH were beneficial in controlling DBPs. In bromide-containing algal solutions, negligible amount of bromo-DBPs were generated in the Fe(VI) pre-oxidation, and halogenated DBPs were mainly formed in the subsequent chlorination.
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Affiliation(s)
- Feilong Dong
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
| | - Jiaqi Liu
- Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX 77843, USA
| | - Cong Li
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200433, China.
| | - Qiufeng Lin
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
| | - Tuqiao Zhang
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
| | - Kejia Zhang
- College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
| | - Virender K Sharma
- Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX 77843, USA.
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