Relevant bibliographies by topics / Harmful algae

Academic literature on the topic 'Harmful algae'

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Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Harmful algae"

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Hofbauer, Wolfgang Karl. "Toxic or Otherwise Harmful Algae and the Built Environment." Toxins 13, no. 7 (June 30, 2021): 465. http://dx.doi.org/10.3390/toxins13070465.

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This article gives a comprehensive overview on potentially harmful algae occurring in the built environment. Man-made structures provide diverse habitats where algae can grow, mainly aerophytic in nature. Literature reveals that algae that is potentially harmful to humans do occur in the anthropogenic environment in the air, on surfaces or in water bodies. Algae may negatively affect humans in different ways: they may be toxic, allergenic and pathogenic to humans or attack human structures. Toxin-producing alga are represented in the built environment mainly by blue green algae (Cyanoprokaryota). In special occasions, other toxic algae may also be involved. Green algae (Chlorophyta) found airborne or growing on manmade surfaces may be allergenic whereas Cyanoprokaryota and other forms may not only be toxic but also allergenic. Pathogenicity is found only in a special group of algae, especially in the genus Prototheca. In addition, rare cases with infections due to algae with green chloroplasts are reported. Algal action may be involved in the biodeterioration of buildings and works of art, which is still discussed controversially. Whereas in many cases the disfigurement of surfaces and even the corrosion of materials is encountered, in other cases a protective effect on the materials is reported. A comprehensive list of 79 taxa of potentially harmful, airborne algae supplemented with their counterparts occurring in the built environment, is given. Due to global climate change, it is not unlikely that the built environment will suffer from more and higher amounts of harmful algal species in the future. Therefore, intensified research in composition, ecophysiology and development of algal growth in the built environment is indicated.
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Alexanin, Anatoly, Vasilii Kachur, Anastasiya Khramtsova, and Tatiana Orlova. "Methodology and Results of Satellite Monitoring of Karenia Microalgae Blooms, That Caused the Ecological Disaster off Kamchatka Peninsula." Remote Sensing 15, no. 5 (February 22, 2023): 1197. http://dx.doi.org/10.3390/rs15051197.

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The environmental disaster in Kamchatka in the autumn of 2020 was caused by an extensive bloom of harmful microalgae of the genus Karenia. A spectral shape algorithm was used to detect algae on satellite imagery. The algorithm calibration of in situ species composition data made it possible to identify areas where harmful algae dominated in biomass. The algorithm allowed evaluation of the dynamics of the distribution of the algae. The state of phytoplankton was estimated based on images of the specific capacity of photosynthesis. Specific fluorescence is the ratio of the height of the fluorescence line (flh) to the concentration of chlorophyll-a (chl-a). The parameter was used to recognize the stages of the algal bloom: intensive growth, blooming, and change in the dominant algal species. In addition, an increase in the concentration of harmful substances in the coastal zone due to wind impact was analyzed. After analyzing the available data, the events that caused the ecological disaster can be summarized as follows. After the stage of intensive growth of microalgae, nutrient deficiency stimulated the production of metabolites that have a harmful effect on the environment. The change of the dominant alga species in the second half of September and the past storm contributed to a sharp increase in the concentration of metabolites and dead organic matter in the coastal zone, which caused an ecological disaster. The subsequent mass bloom of alga species of the same genus, and the regular wind impact leading to the concentration of harmful substances in the coastal zone, contributed to the development of this catastrophic phenomenon.
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Thomsen, Mads S., Thibaut de Bettignies, Thomas Wernberg, Marianne Holmer, and Bastien Debeuf. "Harmful algae are not harmful to everyone." Harmful Algae 16 (April 2012): 74–80. http://dx.doi.org/10.1016/j.hal.2012.01.005.

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Roelke, Daniel L. "Ecology of Harmful Algae." Eos, Transactions American Geophysical Union 88, no. 30 (July 24, 2007): 304. http://dx.doi.org/10.1029/2007eo300006.

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Fogg, G. E. "Harmful algae—a perspective." Harmful Algae 1, no. 1 (March 2002): 1–4. http://dx.doi.org/10.1016/s1568-9883(02)00002-1.

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Ahn, Jung Min, Jungwook Kim, Lan Joo Park, Jihye Jeon, Jaehun Jong, Joong-Hyuk Min, and Taegu Kang. "Predicting Cyanobacterial Harmful Algal Blooms (CyanoHABs) in a Regulated River Using a Revised EFDC Model." Water 13, no. 4 (February 8, 2021): 439. http://dx.doi.org/10.3390/w13040439.

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Cyanobacterial Harmful Algal Blooms (CyanoHABs) produce toxins and odors in public water bodies and drinking water. Current process-based models predict algal blooms by modeling chlorophyll-a concentrations. However, chlorophyll-a concentrations represent all algae and hence, a method for predicting the proportion of harmful cyanobacteria is required. We proposed a technique to predict harmful cyanobacteria concentrations based on the source codes of the Environmental Fluid Dynamics Code from the National Institute of Environmental Research. A graphical user interface was developed to generate information about general water quality and algae which was subsequently used in the model to predict harmful cyanobacteria concentrations. Predictive modeling was performed for the Hapcheon-Changnyeong Weir–Changnyeong-Haman Weir section of the Nakdong River, South Korea, from May to October 2019, the season in which CyanoHABs predominantly occur. To evaluate the success rate of the proposed model, a detailed five-step classification of harmful cyanobacteria levels was proposed. The modeling results demonstrated high prediction accuracy (62%) for harmful cyanobacteria. For the management of CyanoHABs, rather than chlorophyll-a, harmful cyanobacteria should be used as the index, to allow for a direct inference of their cell densities (cells/mL). The proposed method may help improve the existing Harmful Algae Alert System in South Korea.
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Mitra, Aditee, and Kevin J. Flynn. "Promotion of harmful algal blooms by zooplankton predatory activity." Biology Letters 2, no. 2 (March 2006): 194–97. http://dx.doi.org/10.1098/rsbl.2006.0447.

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The relationship between algae and their zooplanktonic predators typically involves consumption of nutrients by algae, grazing of the algae by zooplankton which in turn enhances predator biomass, controls algal growth and regenerates nutrients. Eutrophication raises nutrient levels, but does not simply increase normal predator–prey activity; rather, harmful algal bloom (HAB) events develop often with serious ecological and aesthetic implications. Generally, HAB species are outwardly poor competitors for nutrients, while their development of grazing deterrents during nutrient stress ostensibly occurs too late, after the nutrients have largely been consumed already by fast-growing non-HAB species. A new mechanism is presented to explain HAB dynamics under these circumstances. Using a multi-nutrient predator–prey model, it is demonstrated that these blooms can develop through the self-propagating failure of normal predator–prey activity, resulting in the transfer of nutrients into HAB growth at the expense of competing algal species. Rate limitation of this transfer provides a continual level of nutrient stress that results in HAB species exhibiting grazing deterrents protecting them from top-down control. This process is self-stabilizing as long as nutrient demand exceeds supply, maintaining the unpalatable status of HABs; such events are most likely under eutrophic conditions with skewed nutrient ratios.
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Costa, Pedro Reis, António Marques, and Jorge Diogène. "Marine Biotoxins and Seafood Poisoning." Toxins 11, no. 10 (September 24, 2019): 558. http://dx.doi.org/10.3390/toxins11100558.

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Prevalence of marine biotoxins in seafood has been associated with increasing frequency, intensity, and duration of harmful algal blooms, and an increase of the geographical and temporal distribution of harmful algae [...]
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Akter, Liza, Md Akram Ullah, Mohammad Belal Hossain, Anu Rani Karmaker, Md Solaiman Hossain, Mohammed Fahad Albeshr, and Takaomi Arai. "Diversity and Assemblage of Harmful Algae in Homestead Fish Ponds in a Tropical Coastal Area." Biology 11, no. 9 (September 9, 2022): 1335. http://dx.doi.org/10.3390/biology11091335.

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Algae are the naturally produced food for fish in any aquatic ecosystem and an indicator of a productive pond. However, excess abundance of harmful algae can have detrimental effects on fish health. In this study, the algal communities of 30 coastal homestead fish ponds were investigated to identify the diversity, assemblage and controlling environmental variables of harmful algae from a tropical coastal area. The findings showed that 81 of the 89 genera of identified algae were harmful, with the majority of them being in the classes of Cyanophyceae (50.81%), Chlorophyceae (23.75%), Bacillariophyceae (9.5%), and Euglenophyceae (8.47%). Microcystis spp. alone contributed 28.24% to the total abundance of harmful algae. Significant differences (p < 0.05) in algal abundance were found among the ponds with the highest abundance (470 ± 141.74 × 103 cells L−1) at pond (S25) near agricultural fields and the lowest abundance (109.33 ± 46.91 × 103 cells L−1) at pond (S14) which was lacking sufficient sunlight and nutrients. Diversity indices, e.g., dominance (D), evenness (J′), richness (d) and Shannon diversity index (H′) ranged from 0.17 to 0.44, 0.23 to 0.6, 0.35 to 2.23 and 0.7 to 1.79, respectively, indicating a moderate range of diversity and community stability. Community composition analysis showed the assemblage was dominated by Cyanophyceae, Chlorophyceae and Bacillariophyceae, whereas, multivariate cluster analyses (CA) identified 11 major clusters. To identify the factors controlling their distribution or community assemblages, eight environmental variables (temperature, pH, dissolved oxygen (DO), salinity, transparency, nitrates, phosphates and sulphate) were measured. ANOVA analysis showed that the variables significantly differed (p < 0.05) among the ponds, and canonical correspondence analysis (CCA) demonstrated that DO, nitrates, phosphates, sulphates, salinity and transparency have the most impact on the abundance of algal genera. In addition, analyses with Pearson’s correlation coefficient showed that the abundance of total algae, diversity and community were mainly governed by phosphates and sulphates. These results can be used to identify and control these toxic algal groups in the local aquaculture sector.
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Havens, Karl. "The Future of Harmful Algal Blooms in Florida Inland and Coastal Waters." EDIS 2018, no. 1 (February 26, 2018): 4. http://dx.doi.org/10.32473/edis-sg153-2018.

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Microscopic algae in oceans and inland waters sometimes grow to excessive levels called “blooms.” Warmer water temperatures and increased nutrient levels exacerbate blooms, and when nutrients are high, temperature increases of just a few degrees cause exponential increases of algae and blooms. This 4-page fact sheet written by Karl Havens and published by the Florida Sea Grant College Program and UF/IFAS Extension explains why algal blooms can be harmful and provides advice for communities seeking to reduce nutrient levels in their lakes, streams, and other bodies of water. In a warmer future, harmful algal blooms will be much more challenging to control than they are today. http://edis.ifas.ufl.edu/sg153
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Dissertations / Theses on the topic "Harmful algae"

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Fong, Yin-shan. "Harmful Algal Blooms (HABs) in coastal waters and their management /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25436247.

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Yang, Zhenbo. "Harmful algal blooms in selected Hong Kong coastal waters." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22534374.

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Wang, Jing. "Detection and characterization of harmful algae by bioluminescent stress fingerprinting." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1978.

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Thesis (M.S.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Dept. of Nutrition and Food Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Al-Kandari, Manal A. "Molecular studies of Karenia mikimotoi (Dinophyceae) from the Celtic Sea region." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1088.

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K. mikimotoi has been classified under many names and has been mis-assigned to different species and genera in the North Atlantic and Pacific because of its morphological similarities to other Gymnodinoid species. It is now known to be widely distributed, but there remain unresolved questions about whether K. mikimotoi was introduced into the North Sea from Japanese waters, or whether it has always inhabited this region and been erroneously classified as Gymnodinium spp. or has been a part of the hidden flora prior to be recognised in a bloom off the Norwegian coast in 1966. To address questions about geographical genetic variation within K. mikimotoi and broader issues about its biogeography it was deemed important to develop a suitable diagnostic molecular marker that could then be used to monitor the presence/absence of different K. mikimotoi ecotypes over long time scales in European waters. This study showed that the partial rDNA LSU (D1-D2) was too conserved to separate the different strains of K. mikimotoi, while, the ITS region was better able to discriminate between the different strains. However, the rbcL gene was the most informative gene and contained sufficient substitutions to separate the different strains of K. mikimotoi. Specific PCR-primers were designed to amplify a variable region of the rbcL gene able to distinguish differences between K. mikimotoi isolates from the different regions. The innovative high resolution melting temperature (HRM) technique based on specific primer set allowed rapid discrimination of K. mikimotoi from distinct geographic localities (= sequence variants) that differed by only a single nucleotide. Moreover, this study used archival environmental samples collected from the Celtic Sea shelf-break region. The high resolution melting temperature assay successfully detected the European K. mikimotoi isolate within the south-western English Channel in a 1963 sample, which is prior to thefirst report of a K. mikimotoi bloom in Norwegian waters in 1966 and in the south-western English Channel in 1975 and in western Japan in 1965. HRM observations were further validated using clone libraries and sequencing. In summary, this data provided more information about the genotypes present over the analysed timescales, revealing that K. mikimotoi sub-species 2 (European and New Zealand strains) was present in south-western English Channel and south-west Ireland for over 47 years, with sub-species 1 (the Japanese isolate) being absent from all examined samples. This finding supports the hypothesis that K. mikimotoi isolates within Europe are not of Japanese origin and suggests that they are native species to the region.
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Graham, Sylvia Lynne. "Growth and grazing of microzooplankton in response to the harmful alga Heterosigma akashiwo in prey mixtures /." Online version, 2008. http://content.wwu.edu/cdm4/item_viewer.php?CISOROOT=/theses&CISOPTR=305&CISOBOX=1&REC=8.

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Hardman, Ron C. "Harmful algal blooms in the Gulf of Mexico : brevetoxin degradation and derivation formation via photochemical processes /." Electronic version (PDF), 2003. http://dl.uncw.edu/etd/2002/hardmanr/ronhardman.pdf.

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Yang, Zhenbo, and 揚振波. "Harmful algal blooms in selected Hong Kong coastal waters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31242583.

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Cohen, Margaret A. "Estimating the growth rate of harmful algal blooms using a model averaged method." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-1/rp/cohenm/margaretcohen.pdf.

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Kamikawa, Ryoma. "Development of a highly sensitive, molecular-based method for monitoring harmful algae." Kyoto University, 2009. http://hdl.handle.net/2433/123971.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(農学)
甲第14659号
農博第1741号
新制||農||967(附属図書館)
学位論文||H21||N4432(農学部図書室)
UT51-2009-D371
京都大学大学院農学研究科応用生物科学専攻
(主査)教授 左子 芳彦, 教授 平田 孝, 准教授 吉田 天士
学位規則第4条第1項該当
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方燕珊 and Yin-shan Fong. "Harmful Algal Blooms (HABs) in coastal waters and their management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B3125519X.

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Books on the topic "Harmful algae"

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Granéli, Edna, and Jefferson T. Turner, eds. Ecology of Harmful Algae. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-32210-8.

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Edna, Granéli, and Turner Jefferson T, eds. Ecology of harmful algae. Berlin: Springer, 2008.

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International, Conference on Harmful Algae (8th 1997 Vigo Spain). Harmful algae =: Algas nocivas : proceedings of the VIII International Conference on Harmful Algae, Vigo Spain, 25-29 June 1997. [Vigo, Spain?]: Intergovernmental Oceanographic Commission of Unesco, 1998.

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Vladimir, Buteyko, ed. Harmful algal blooms: Impact and response. Hauppauge, N.Y: Nova Science Publishers, 2009.

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M, Hallegraeff Gustaaf, Anderson Donald M, Cembella Allan D. 1952-, Enevoldsen H. O, and Unesco, eds. Manual on harmful marine microalgae. Paris: UNESCO, 2003.

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M, Anderson Donald, Cembella Allan D. 1952-, Hallegraeff Gustaaf M, and NATO Advanced Study Institute on "The Physiological Ecology of Harmful Algal Blooms" (1996 : Bermuda Biological Station for Research), eds. Physiological ecology of harmful algal blooms. Berlin: Springer, 1998.

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D, Turgeon Donna, and United States. National Oceanic and Atmospheric Administration., eds. Status of U.S. harmful algal blooms: Progress towards a national program. [Silver Spring? Md.]: National Oceanic and Atmospheric Administration, 1997.

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Per, Andersen. Design and implementation of some harmful algal monitoring systems. Paris: UNESCO, 1996.

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M, Anderson Donald, Galloway Sylvia B, Joseph Jeanne D, and Woods Hole Oceanographic Institution, eds. Marine biotoxins and harmful algae: A national plan. [Woods Hole, Mass.]: Woods Hole Oceanographic Institution, 1993.

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Williams, Peter E. Marine and freshwater harmful algal blooms. Hauppauge, N.Y: Nova Science Publishers, 2010.

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Book chapters on the topic "Harmful algae"

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Alves de Souza, Catharina, Jorge I. Mardones, Aletta T. Yñiguez, Véronique Le Bihan, Patrice Guillotreau, Clemence M. I. Gatti, Mindy L. Richlen, Jacob Larsen, and Elisa Berdalet. "Harmful Algae." In Blue Economy, 287–317. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5065-0_10.

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He, Peimin. "Harmful Algal Blooms." In The Algae World, 339–55. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7321-8_12.

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Roelke, Daniel L., and Schonna R. Manning. "Harmful Algal Species Fact Sheet: Prymnesium parvum (Carter) “Golden Algae”." In Harmful Algal Blooms, 629–32. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118994672.ch16q.

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Rhodes, Lesley, and Rex Munday. "Harmful Algae and Their Commercial Implications." In Algae Biotechnology, 301–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12334-9_15.

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Ribeiro, Rita, and Luis Torgo. "Predicting Harmful Algae Blooms." In Progress in Artificial Intelligence, 308–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24580-3_36.

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Langlois, Gregg W., and Steve L. Morton. "Marine Biotoxin and Harmful Algae Monitoring and Management." In Harmful Algal Blooms, 377–418. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118994672.ch10.

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Burkholder, JoAnn M., Sandra E. Shumway, and Patricia M. Glibert. "Food Web and Ecosystem Impacts of Harmful Algae." In Harmful Algal Blooms, 243–336. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118994672.ch7.

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Murray, Shauna, and Gustaaf Hallegraeff. "Harmful Algae Introductions: Vectors of Transfer, Mitigation, and Management." In Harmful Algal Blooms, 493–506. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118994672.ch13.

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Boyd, Claude E., and Craig S. Tucker. "Off-Flavors and Harmful Algae." In Pond Aquaculture Water Quality Management, 439–71. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5407-3_11.

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Pozdnyakov, Dmitry V., Lasse H. Pettersson, and Anton A. Korosov. "Investigation of Harmful/Nuisance Algae Blooms in Marine Environments." In Exploring the Marine Ecology from Space, 95–140. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-30075-7_3.

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Conference papers on the topic "Harmful algae"

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Yang, Mengyu, Wensi Wang, Qiang Gao, Liting Zhang, Yanping Ji, and Shuqin Geng. "Automatic Recognition of Harmful Algae Images Using Multiple CNNs." In 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). IEEE, 2021. http://dx.doi.org/10.1109/icceai52939.2021.00055.

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Yang, Mengyu, Wensi Wang, Qiang Gao, Liting Zhang, Yanping Ji, and Shuqin Geng. "Automatic Recognition of Harmful Algae Images Using Multiple CNNs." In 2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). IEEE, 2021. http://dx.doi.org/10.1109/icceai52939.2021.00055.

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Marshall, Lauren, Adam Schroeder, and Brian Trease. "Comparing Fish-Inspired Ram Filters for Collection of Harmful Algae." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88797.

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In this work, several different bioinspired filter geometries are proposed, fabricated, and tested in a flow tank. A novel approach is explored that mimics how filter-feeding fish efficiently remove small food particles from water. These filters generally take the form of a cone with water entering the large end of the cone and exiting through mesh-covered slots in the side of the cone, which emulates the rib structure of these filter-feeding fish. The flow in and around the filters is characterized and their ability to collect algae-scale, neutrally-buoyant particles is evaluated. Filter performance is evaluated by using image processing to count the number of particles collected and studying how the particles are deposited on the filter. Results are presented in the form of particle collection efficiencies, which is a ratio of particles collected to the particles that would nominally enter the filter inlet, and images of the fluorescent particles deposited on the filter at different time intervals. The results show little sensitivity to the filters’ inlet geometries, which was the major difference between filters tested. Comparative results are also presented from a 2D CFD model of the filters generated in COMSOL. The different geometries may differentiate themselves more at larger Reynolds numbers, and it is believed that a fluid exit ratio, or ratio of inlet area to exit area, is the most critical filter parameter. Field testing has demonstrated collection of real algae (i) with this bioinspired filter, and (ii) from a robot platform, but using a more conventional plankton net. The larger vision is to develop these filters and mount them on a swarm of autonomous surface vehicles, i.e. a robot boat swarm, which is being developed in parallel.
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Jing Wang, Diane K. Stoecker, and Y. Martin Lo. "Characterization of Stress-responsive Bioluminescence Induced by Toxic Harmful Algae." In 2004, Ottawa, Canada August 1 - 4, 2004. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2004. http://dx.doi.org/10.13031/2013.17019.

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Jo, Wonse, Jee-Hwan Park, Yuta Hoashi, and Byung-Cheol Min. "Development of an Unmanned Surface Vehicle for Harmful Algae Removal." In OCEANS 2019 MTS/IEEE SEATTLE. IEEE, 2019. http://dx.doi.org/10.23919/oceans40490.2019.8962677.

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O'Connell, Eoin, William Lyons, Cormac Sheridan, and Elfed Lewis. "Development of an inexpensive optical fiber based harmful algae bloom sensor." In International Congress on Optics and Optoelectronics, edited by Francesco Baldini, Jiri Homola, Robert A. Lieberman, and Miroslav Miler. SPIE, 2007. http://dx.doi.org/10.1117/12.721491.

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Laurent, Sebastien, Florent Colas, Muriel Hamelin, Marie-Pierre Crassous, Elisabeth Antoine, Michel Lehaitre, and Chantal Compere. "Toward detection of harmful algae blooms by in situ surface plasmon resonance spectroscopy." In 2009 IEEE Sensors Applications Symposium (SAS). IEEE, 2009. http://dx.doi.org/10.1109/sas.2009.4801771.

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Gaur, Ashish, Gaurav Pant, and Anand Singh Jalal. "Morphology-based Identification and Classification of Harmful Bloom Forming Algae through Inception V3 Convolution Neural Network." In 2021 5th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2021. http://dx.doi.org/10.1109/iscon52037.2021.9702363.

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O'Connell, Eoin, William B. Lyons, Cormac Sheridan, and Elfed Lewis. "Development of a fibre optic sensor for the detection of harmful algae bloom and in particular domoic acid." In 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007. IEEE, 2007. http://dx.doi.org/10.1109/imtc.2007.379024.

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Ebert, K., H. Krawczyk, and A. Neumann. "Interpretation of satellite remote sensing data in the Baltic sea with special respect to Harmful Algae Bloom events." In 2004 USA-Baltic International Symposium. IEEE, 2004. http://dx.doi.org/10.1109/baltic.2004.7296819.

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Reports on the topic "Harmful algae"

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Patrick Lind, Patrick Lind. How Does Iron Affect the Growth of Harmful Algae? Experiment, October 2016. http://dx.doi.org/10.18258/7944.

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Calomeni, Alyssa, Andrew McQueen, Ciera Kinley-Baird, and Gerard Clyde. Identification and preventative treatment of overwintering cyanobacteria in sediments : a literature review. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45063.

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Freshwaters can experience growths of toxin-producing cyanobacteria or harmful algal blooms (HABs). HAB-producing cyanobacteria can develop akinetes, which are thick-enveloped quiescent cells akin to seeds in vascular plants or quiescent colonies that overwinter in sediment. Overwintering cells produce viable “seed beds” for HAB resurgences and preventative treatments may diminish HAB intensity. The purpose of this literature review was to identify (1) environmental factors triggering germination and growth of overwintering cells, (2) sampling, identification, and enumeration methods, and (3) feasibility of preventative algaecide treatments. Conditions triggering akinete germination (light ≥0.5 μmol m-2s-1, temperature 22-27℃) differ from conditions triggering overwintering Microcystis growth (temperature 15-30℃, nutrients, mixing). Corers or dredges are used to collect surficial (0-2 cm) sediment layers containing overwintering cells. Identification and enumeration via microscopy are aided by dilution, sieving, or density separation of sediment. Grow-out studies simulate environmental conditions triggering cell growth and provide evidence of overwintering cell viability. Lines of evidence supporting algaecide efficacy for preventative treatments include (1) field studies demonstrating scalability and efficacy of algaecides against benthic algae, (2) data suggesting similar sensitivities of overwintering and planktonic Microcystis cells to a peroxide algaecide, and (3) a mesocosm study demonstrating a decrease in HAB severity following preventative treatments. This review informs data needs, monitoring techniques, and potential efficacy of algaecides for preventative treatments of overwintering cells.
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Page, Martin, Bruce MacAllister, Marissa Campobasso, Angela Urban, Catherine Thomas, Clinton Cender, Clint Arnett, et al. Optimizing the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS). Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42223.

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Harmful algal blooms (HABs) continue to affect lakes and waterways across the nation, often resulting in environmental and economic damage at regional scales. The US Army Engineer Research and Development Center (ERDC) and collaborators have continued research on the Harmful Algal Bloom Interception, Treatment, and Transformation System (HABITATS) project to develop a rapidly deployable and scalable system for mitigating large HABs. The second year of the project focused on optimization research, including (1) development of a new organic flocculant formulation for neutralization and flotation of algal cells; (2) testing and initial optimization of a new, high-throughput biomass dewatering system with low power requirements; (3) development, design, assembly, and initial testing of the first shipboard HABITATS prototype; (4) execution of two field pilot studies of interception and treatment systems in coordination with the Florida Department of Environmental Protection and New York State Department of Environmental Conservation; (5) conversion of algal biomass into biocrude fuel at pilot scale with a 33% increase in yield compared to the previous bench scale continuous-flow reactor studies; and (6) refinement of a scalability analysis and optimization model to guide the future development of full-scale prototypes.
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Linkov, I., F. K. Satterstrom, D. Loney, and J. A. Steevens. The Impact of Harmful Algal Blooms on USACE Operations. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada494537.

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Lohrenz, Steven E., and Oscar M. Schofield. Optical Detection and Assessment of the Harmful Alga, Karenia brevis. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada621233.

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Bissett, W. P. Hyperspectral Modeling of Harmful Algal Blooms on the West Florida Shelf. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada397744.

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Herman, Brook, Jed Eberly, Carina Jung, and Victor Medina. Review and evaluation of reservoir management strategies for harmful algal blooms. Environmental Laboratory (U.S.), July 2017. http://dx.doi.org/10.21079/11681/22773.

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Bissett, W. P. Hyperspectral Modeling of Harmful Algal Blooms on the West Florida Shelf. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada619289.

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Bissett, W. P. Hyperspectral Modeling of Harmful Algal Blooms on the West Florida Shelf. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada625042.

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Suddleson, Marc, and Porter Hoagland. Workshop on the socio-economic effects of marine and fresh water harmful algal blooms in the United States. Woods Hole Oceanographic Institution, March 2021. http://dx.doi.org/10.1575/1912/27896.

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The US National Office for Harmful Algal Blooms at the Woods Hole Oceanographic Institution (WHOI) and the NOAA National Centers for Coastal Ocean Science (NCCOS) held a virtual workshop comprising four sessions between July 27 and August 5, 2020. This report summarizes the workshop proceedings and presents recommendations developed by participants during the discussion. The recommendations advance an assessment framework and a national research agenda that will lead to comprehensive evaluations of the socio-economic effects of harmful algal blooms (HABs) in fresh water (primarily the Great Lakes) and marine waters of the United States.
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