Relevant bibliographies by topics / Algal blooms

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Algal blooms'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Algal blooms"

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Ma, Jinge, Feng He, Tianci Qi, Zhe Sun, Ming Shen, Zhigang Cao, Di Meng, Hongtao Duan, and Juhua Luo. "Thirty-Four-Year Record (1987–2021) of the Spatiotemporal Dynamics of Algal Blooms in Lake Dianchi from Multi-Source Remote Sensing Insights." Remote Sensing 14, no. 16 (August 17, 2022): 4000. http://dx.doi.org/10.3390/rs14164000.

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Lake Dianchi is one of the most eutrophic lakes in China. The decline in water quality and the occurrence of massive algal blooms pose a significant threat to the health and environmental safety of the water ecosystem, making Lake Dianchi a key concern for algal bloom management in China. Obtaining the spatiotemporal dynamics of algal blooms for the longest time possible is crucial to algal bloom management and future prediction. However, it is difficult to acquire a long-term record of algal blooms from a single sensor in order to cover a more extended period of eutrophication in the lake due to the limitation of the spatial and temporal resolution of the sensors. In this study, Landsat and Moderate-Resolution Imaging Spectroradiometer (MODIS) images were combined with the Floating Algae Index (FAI) to reconstruct a unified time series of bloom areas to analyze the algal bloom dynamics in Lake Dianchi in recent decades. Regarding the interannual variation, the bloom area showed an increasing trend from 1987 to 2021, with larger bloom areas in 1991–1992, 2000–2003, 2012–2013, and 2020–2021. In terms of seasonal characteristics, the bloom area was significantly more prominent in the rainy season compared with the dry season during the year. The spatial distribution of the bloom frequency showed a pattern of higher frequencies in the north and lower frequencies in the south. From 2000 to 2021, the initial bloom time and bloom duration showed a trend of delaying and then advancing and decreasing and then increasing, respectively. We analyzed the importance of long-term records of algal blooms and found that the percentage of rainy season images is an essential factor in reconstructing time series based on different sensors. In addition, the relationship between environmental factors and algal blooms was analyzed. The results show that wind speed and air temperature were the main meteorological factors controlling the interannual variation in algal blooms in Lake Dianchi. Water quality factors such as nutrients have less of an influence on the variation in algal blooms because the algal growth demand has been met. Environmental management measures taken by local governments have led to improvements in the lake’s trophic state, and continued strengthening of environmental pollution control is expected to curb the algal blooms in Lake Dianchi. This study provides a long-term record of algal blooms in Lake Dianchi, which provides essential reference information for a comprehensive understanding of the development process of algal blooms in Lake Dianchi and its sustainable development.
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Jing, Yuanyuan, Yuchao Zhang, Minqi Hu, Qiao Chu, and Ronghua Ma. "MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China." Remote Sensing 11, no. 21 (November 4, 2019): 2582. http://dx.doi.org/10.3390/rs11212582.

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Algal blooms in eutrophic lakes have been a global issue to environmental ecology. Although great progress on prevention and control of algae have been made in many lakes, systematic research on long-term temporal-spatial dynamics and drivers of algal blooms in a plateau Lake Dianchi is so far insufficient. Therefore, the algae pixel-growing algorithm (APA) was used to accurately identify algal bloom areas at the sub-pixel level on the Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2000 to 2018. The results showed that algal blooms were observed all year round, with a reduced frequency in winter–spring and an increased frequency in summer–autumn, which lasted a long time for about 310–350 days. The outbreak areas were concentrated in 20–80 km2 and the top three largest areas were observed in 2002, 2008, and 2017, reaching 168.80 km2, 126.51 km2, and 156.34 km2, respectively. After deriving the temporal-spatial distribution of algal blooms, principal component analysis (PCA) and redundancy analysis (RDA) were applied to explore the effects of meteorological, water quality and human activities. Of the variables analyzed, mean temperature (Tmean) and wind speed (WS) were the main drivers of daily algal bloom areas and spatial distribution. The precipitation (P), pH, and water temperature (WT) had a strong positive correlation, while WS and sunshine hours (SH) had a negative correlation with monthly maximum algal bloom areas and frequency. Total nitrogen (TN) and dissolved oxygen (DO) were the main influencing factors of annual frequency, initiation, and duration of algal blooms. Also, the discharge of wastewater and the southwest and southeast monsoons may contribute to the distribution of algal blooms mainly in the north of the lake. However, different regions of the lake show substantial variations, so further zoning and quantitative joint studies of influencing factors are required to more accurately understand the true mechanisms of algae in Lake Dianchi.
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Yi, Hye-Suk, Sunghwa Choi, Dong-Kyun Kim, and Hojoon Kim. "Improvement of Algal Bloom Identification Using Satellite Images by the Algal Spatial Monitoring and Machine Learning Analysis in a New Dam Reservoir." GEO DATA 5, no. 3 (September 30, 2023): 126–36. http://dx.doi.org/10.22761/gd.2023.0021.

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Algal blooms are major issues and an ongoing cause of water quality problems in inland waters globally. In the case of harmful algal blooms, the water temperature rises after nitrogen and phosphorus inflow, which occurs in the summer, is the main cause of the algae bloom. In South Korea, algae monitoring methods have been performed by collecting water in point monitoring stations. Recently, in order to overcome the limitations of these existing monitoring methods, spatial monitoring methods using hyperspectral images and satellite images has been researched. We used satellite images for analysis of the spatial algal variation. The accuracy of algal identification is imperative for effective spatial monitoring of algal blooms in the context of ecological health and assessment. In this study, we generated algal big-data with simultaneously observed chlorophyll-a concentrations based on fluorescence measurement and predicted chlorophyll-a concentrations using 13- band satellite images derived from Sentinel-2. In order to validate the values from the satellite images, we compared them with simultaneously observed chlorophyll-a concentrations based on fluorescence measurement. The goal of this study is to improve the accuracy of predictions induced from satellite images. The analytical techniques were comparatively evaluated. The results showed that Artificial Neural Networks exhibited the best performance among them, improving more than 30% accuracy compared to that of multiple linear regression. Furthermore, the accuracy of identifying algal blooms has been shown to increase at high algal concentrations. In the end, it was successful to create algal bloom maps using a new algorithm to analyze algal bloom management.
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Wang, Shu Hang, Wen Wen Wang, and Xia Jiang. "The Process of Algal Bloom Formation and the Effects of Wind - An Enclosure Experiment and In Situ Investigation in a Large Hyper-Eutrophic Shallow Lake in China." Advanced Materials Research 518-523 (May 2012): 4303–14. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4303.

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An enclosure experiment was conducted to evaluate the processes involved in algal bloom formation at different trophic levels in Chaohu Lake, which is a large hyper-eutrophic shallow lake in China. In situ investigations were conducted concurrently to quantitatively describe the effects of wind on the horizontal transference and vertical hybridization of algal blooms. The results revealed that certain nutrient trophic levels played a crucial role in the formation of algal blooms. Specifically, sediments were identified as an important source of nutrients and algal seeds that are necessary to maintain the trophic level and growth of algal blooms. In addition, the disturbance caused by wind accelerated the multiplication of algae, as well as their sedimentation and suspension at the water-sediment interface. Furthermore, when the wind speed was less than 3m•s-1, algal clusters drifted on the water surface at a speed that was exponentially related to the wind velocity with a coefficient of 0.9052. When the wind speed was greater than 3m•s-1, the algae mixed together vertically and then sank. The algal bloom distribution in the lake was dominated by leading wind directions. Moreover, the algal biomass of the surface lake water in leeward areas was 8.8 times greater than the biomass in the windward areas during the study period.
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Lathrop, Richard C. "Evaluation of Whole-Lake Nitrogen Fertilization for Controlling Blue-Green Algal Blooms in a Hypereutrophic Lake." Canadian Journal of Fisheries and Aquatic Sciences 45, no. 12 (December 1, 1988): 2061–75. http://dx.doi.org/10.1139/f88-240.

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Indian Lake, a shallow hypereutrophic lake in southern Wisconsin, was treated with ammonium nitrate to test whether high dissolved inorganic nitrogen (DIN) concentrations or high total nitrogen to phosphorus (N:P) ratios could prevent the development of summer blue-green algal blooms (predominately Microcystis aeruginosa). The fertilizer was applied weekly from late April to early July 1981–82 in annual amounts of 14 and 23 g N/m2, respectively. In 1981, a dense summer blue-green algal bloom developed, although both dissolved inorganic phosphorus (DIP) and algal P (particulate P/chlorophyll a) were lower than in summers without fertilizer treatments. In 1982, unusually clear water in May allowed aquatic macrophytes and associated filamentous algae to become very dense in June. The increase in water clarity and macrophytes was probably a response to a fishkill the previous winter. Later in the summer the macrophyte community disappeared and a blue-green algal bloom developed. After each fertilization in both treatment years, the NH4+ and NO3− decreased rapidly, suggesting nitrification/denitrification in the lake sediments. Whole-lake N fertilization did not prevent the summer blue-green algal blooms in Indian Lake. Low DIN apparently does not trigger the bloom development or cause the vernal nonblue-green algae to decline. Also, Sow total N:P ratios (<11 by weight) during the blooms occur partly because of high DIP and because of high algal P levels resulting from luxury P consumption. The Indian Lake data suggest that low total N:P ratios are only predictive of (or resultant from) blue-green algal blooms rather than causative.
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Sidabutar, Tumpak, Endang Sunarwati Srimariana, Hendrik Cappenberg, and Sam Wouthuyzen. "Comprehensive analysis of harmful algal blooms in indonesia: from occurrence to impact." BIO Web of Conferences 87 (2024): 02003. http://dx.doi.org/10.1051/bioconf/20248702003.

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The occurrence and frequency of harmful algal blooms have become a significant problem in Indonesia's coastal waters since 1991. This article aims to thoroughly analyze the diversity of algal species involved in these harmful algal blooms (HABs). It highlights that some algae, such as toxic species, can produce dangerous toxins, while others, such as non-toxic algae, remain harmless. This article reviews research studies that describe the occurrence, frequency, and causative types of bloom events in several contaminated coastal regions of Indonesia. The blooms had many consequences for fisheries, the aquatic environment, the economy, and public health. Among the identified species, Pyrodinium bahamense var. compressum is known for its high toxicity. The most common taxa contributing to bloom tragedy are Chaetoceros, Noctiluca, and Skeletonema. The study recognizes that human-induced nutrient enrichment is a major and significant factor in triggering the bloom phenomena. The paper recommends various management strategies and further research initiatives to prevent and reduce the impacts of HABs in Indonesia.
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Yun, Hongwon. "Prediction model of algal blooms using logistic regression and confusion matrix." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (June 1, 2021): 2407. http://dx.doi.org/10.11591/ijece.v11i3.pp2407-2413.

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Algal blooms data are collected and refined as experimental data for algal blooms prediction. Refined algal blooms dataset is analyzed by logistic regression analysis, and statistical tests and regularization are performed to find the marine environmental factors affecting algal blooms. The predicted value of algal bloom is obtained through logistic regression analysis using marine environment factors affecting algal blooms. The actual values and the predicted values of algal blooms dataset are applied to the confusion matrix. By improving the decision boundary of the existing logistic regression, and accuracy, sensitivity and precision for algal blooms prediction are improved. In this paper, the algal blooms prediction model is established by the ensemble method using logistic regression and confusion matrix. Algal blooms prediction is improved, and this is verified through big data analysis.
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Zhang, Yuchao, Steven Loiselle, Kun Shi, Tao Han, Min Zhang, Minqi Hu, Yuanyuan Jing, Lai Lai, and Pengfei Zhan. "Wind Effects for Floating Algae Dynamics in Eutrophic Lakes." Remote Sensing 13, no. 4 (February 22, 2021): 800. http://dx.doi.org/10.3390/rs13040800.

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Wind-speed decline is an important impact of climate change on the eastern Asian atmospheric circulation. Although wind does not determine algae biomass in eutrophic lakes, it is a decisive factor in the formation and severity of algae blooms. Based on 2000–2018 MODIS images, this study compared the effects of wind speed on algal blooms in three typical eutrophic lakes in China: Lake Taihu, Lake Chaohu and Lake Dianchi. The results indicate that climate change has different effects on the wind speed of the three lakes, but a common effect on the vertical distribution of algae. A wind speed of 3.0 m/s was identified as the critical threshold in the vertical distribution of chlorophyll-a concentrations in the three study lakes. The basic characteristics of the periodic variation of wind speed were different, but there was a significant negative correlation between wind speed and floating algal bloom area in all three lakes. In addition, considering lake bathymetry, wind direction could be used to identify locations that were particularly susceptible to algae blooms. We estimated that algal bloom conditions will worsen in the coming decades due to the continuous decline of wind, especially in Lake Taihu, even though the provincial and national governments have made major efforts to reduce eutrophication drivers and restore lake conditions. These results suggest that early warning systems should include a wind-speed threshold of 3.0 m/s to improve control and mitigation of algal blooms on these intensively utilized lakes.
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Zhao, Ziyue, Xuemei Liu, Yanfeng Wu, Guangxin Zhang, Changlei Dai, Guoli Qiao, and Yinghui Ma. "A Review on the Driving Mechanism of the Spring Algal Bloom in Lakes Using Freezing and Thawing Processes." Water 16, no. 2 (January 11, 2024): 257. http://dx.doi.org/10.3390/w16020257.

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Spring algal blooms in mid–high-latitude lakes are facing serious challenges such as earlier outbreaks, longer duration, and increasing frequency under the dual pressure of climate warming and human activities, which threaten the health of freshwater ecosystems and water security. At present, the freeze-thaw processes is the key to distinguishing spring algal blooms in mid- to high-latitude lakes from low-latitude lakes. Based on the visualization and an analysis of the literature in the WOS database during 2007–2023, we clarified the driving mechanism of the freeze-thaw process (freeze-thaw, freeze-up, and thawing) on spring algal bloom in lakes by describing the evolution of the freeze-thaw processes on the nutrient migration and transformation, water temperature, lake transparency and dissolved oxygen, and physiological characteristics of algae between shallow lakes and deep lakes. We found that the complex phosphorus transformation process during the frozen period can better explain the spring-algal-bloom phenomenon compared to nitrogen. The dominant species of lake algae also undergo transformation during the freeze-thaw process. On this basis, the response mechanism of spring algal blooms in lakes to future climate change has been sorted out. The general framework of “principles analysis, model construction, simulation and prediction, assessment and management” and the prevention strategy for dealing with spring algal bloom in lakes have been proposed, for which we would like to provide scientific support and reference for the comprehensive prevention and control of spring algal bloom in lakes under the freezing and thawing processes.
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Schleyer, Guy, and Assaf Vardi. "Algal blooms." Current Biology 30, no. 19 (October 2020): R1116—R1118. http://dx.doi.org/10.1016/j.cub.2020.07.011.

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Dissertations / Theses on the topic "Algal blooms"

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Trinko, Tara Rae. "Bottom-Up and Top-Down Controls on Algal Bloom Frequency in Two Shallow Mesotrophic Lakes." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/TrinkoTR2008.pdf.

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Lu, Songhui. "Ecological studies of phytoplankton and harmful algal blooms in Junk Bay, Hong Kong." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B42576209.

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Lam, Hoi-yeung Ironside. "Marine microalgal dynamics at Crooked and Lamma Islands, Hong Kong." Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B43895323.

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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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Huang, Yan, and 黃艷. "Neural network modelling of coastal algal blooms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B43894872.

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Huang, Yan. "Neural network modelling of coastal algal blooms." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25248510.

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Li, Shuo. "Interactions of Toxic Metals with Algal Toxins Derived from Harmful Algal Blooms." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/478.

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The purposes of this study were to characterize the complexation of toxic metals with algal toxins and to determine the effects of arsenic and copper on the growth of Karenia brevis under specific experimental conditions. Microcystins, pahayokolides, brevetoxins and okadaic acid were used as representatives of algal toxins while arsenic, copper, cadmium, cobalt, iron, manganese and mercury were selected as typical toxic metals (including metalloids here) in the aquatic environment. The stabilities of the toxin-metal complexes were determined using equilibrium dialysis and/or centrifugal ultrafiltration technique. A direct exposure of arsenic and copper to the K. brevis was carried out to determine the effects of these metals to the growth of the algal cell. The results indicated that Cu2+, Hg2+, Co2+, Cd2+ and Fe2+ were capable of complexing with the algal toxins. Moreover, the exposure experiments demonstrated that the high concentration of arsenic and copper could affect the growth of the K. brevis.
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Bernard, Stewart. "The bio-optical detection of harmful algal blooms." Doctoral thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/6461.

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Includes bibliographical references (p. 176-188).
An analytical framework for the simulation and quantitative interpretation of ocean colour data is presented, providing an inverse reflectance algorithm designed for the detection of harmful algal blooms. The adopted framework focuses on establishing quantitative relationships between optically important algal intracellular properties and inherent optical properties (IOPs), such as the absorption and backscattering coefficients, and the resultant effects on remote-sensing reflectance. A principal aim of the study is to establish the determinant variables of the IOPs associated with natural algal assemblages, and provide a means of simulating these IOPs. Algal size is an important determinant of optical properties, and the study demonstrates algal IOP simulation, using equivalent particle size distributions that can be simply parameterised with regard to effective cell diameter. Statistical analyses of causal variability are also conducted on absorption data from a variety of natural algal assemblages, revealing the relative importance of cell size, intracellular Chi a concentration, and accessory pigment complement. An improved understanding of algal angular scattering is regarded as key to the analytical modelling of ocean colour, and the use of two-layered spherical models for the simulation of algal scattering properties is investigated. Preliminary validation of the combined use of the equivalent size and two-layered models indicates that they are capable of adequately simulating the remote-sensing reflectance properties of high biomass bloom waters.
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Schroeder, Adam. "Mitigating Harmful Algal Blooms using a Robot Swarm." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo154444245336465.

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Lam, Hoi-yeung Ironside, and 林海揚. "Marine microalgal dynamics at Crooked and Lamma Islands, Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B43895323.

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Books on the topic "Algal blooms"

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Shumway, Sandra E., JoAnn M. Burkholder, and Steve L. Morton, eds. Harmful Algal Blooms. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118994672.

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Pettersson, Lasse H., and Dmitry Pozdnyakov. Monitoring of Harmful Algal Blooms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-68209-7.

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

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

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E, Williams Peter, ed. Marine and freshwater harmful algal blooms. Hauppauge, N.Y: Nova Science Publishers, 2009.

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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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Frankenstein, Gretchen. Blooms of ulvoids in Puget Sound. Olympia, Wash: The Team, 2000.

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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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V, Subba Rao D., ed. Algal cultures, analogues of blooms and applications. Enfield, (NH): Science Publishers, 2005.

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Murphy, Matt. Algal bloom: Chile, August-September. Sherkin Island, Co. Cork, Ireland: Sherkin Island Marine Station, 1988.

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Book chapters on the topic "Algal blooms"

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Glibert, Patricia M. "Algal Blooms." In Encyclopedia of Estuaries, 7–16. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_14.

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McLean, Timothy I., and Geoffrey A. Sinclair. "Harmful Algal Blooms harmful algal bloom (HAB)." In Encyclopedia of Sustainability Science and Technology, 4819–46. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_829.

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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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Bell, Bethany K., and Megan E. Krail. "Harmful Algal Blooms." In A Companion to Interdisciplinary STEM Project-Based Learning, 89–101. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-485-5_12.

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Watson, Sue B., and Lewis Molot. "Harmful Algal Blooms." In Encyclopedia of Aquatic Ecotoxicology, 575–96. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5704-2_55.

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Wang, Pengbin. "Harmful Algal Blooms." In Encyclopedia of Ocean Engineering, 687–93. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-6946-8_345.

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Wang, Pengbin. "Harmful Algal Blooms." In Encyclopedia of Ocean Engineering, 1–7. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-10-6963-5_345-1.

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McLean, Timothy I., and Geoffrey A. Sinclair. "Harmful Algal Blooms." In Environmental Toxicology, 319–60. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5764-0_13.

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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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Glibert, Patricia M., and JoAnn M. Burkholder. "Causes of Harmful Algal Blooms." In Harmful Algal Blooms, 1–38. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118994672.ch1.

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Conference papers on the topic "Algal blooms"

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Alawadi, Fahad. "Detection of surface algal blooms using the newly developed algorithm surface algal bloom index (SABI)." In Remote Sensing, edited by Charles R. Bostater, Jr., Stelios P. Mertikas, Xavier Neyt, and Miguel Velez-Reyes. SPIE, 2010. http://dx.doi.org/10.1117/12.862096.

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Szekielda, K. H., J. H. Bowles, D. B. Gillis, W. Snyder, and W. D. Miller. "Patch recognition of algal blooms and macroalgae." In SPIE Defense, Security, and Sensing, edited by Weilin (Will) Hou and Robert A. Arnone. SPIE, 2010. http://dx.doi.org/10.1117/12.854772.

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Webb, P. "255. Public Health Response to Harmful Algal Blooms." In AIHce 2001. AIHA, 2001. http://dx.doi.org/10.3320/1.2765781.

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ANDERSON, DONALD M. "THE EXPANDING GLOBAL PROBLEM OF HARMFUL ALGAL BLOOMS." In Proceedings of the International Seminar on Nuclear War and Planetary Emergencies — 27th Session. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812705150_0042.

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Liu, Haidong, Zhongquan Charlie Zheng, and Bryan Young. "Three-Dimensional Computational Hydrodynamics Modeling for Algae Transport and Growth." In ASME 2017 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/fedsm2017-69050.

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In this study, a three-dimensional model coupling hydrodynamics with algae transport dynamics is investigated. The hydrodynamic model solves the three-dimensional Navier-Stokes equations by a semi-implicit, fractional step method, where the hydrostatic components are determined first and the non-hydrostatic pressure and other components are determined in a subsequent step. Wind velocity on the water surface is accounted for the effect of wind stress on the flow velocities in the hydrodynamic model. Then, the model is coupled with an algae transport model, which enables simulation of algae transport and algal blooms. As an example, the model is implemented to analyze the transition of blue-green algae in Milford Lake, which is the largest man-made lake in Kansas suffering from blue-green algae blooms. The three-dimensional model provides a robust and efficient way for hydrodynamic and algae modeling and can be implemented to studies on different types of rivers and reservoirs easily. The simulated results can be very useful for algae control and prediction in both short and long terms.
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Zhang, Qingling, and Chao Liu. "Dynamical behavior in a differential-algebraic algal blooms model." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605893.

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LEE, J. H. W., and K. T. M. WONG. "FORECASTING OF COASTAL ALGAL BLOOMS - A HYDRAULIC ENGINEERING PERSPECTIVE." In Proceedings of the 5th International Conference on APAC 2009. World Scientific Publishing Company, 2009. http://dx.doi.org/10.1142/9789814287951_0002.

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Yaman, Aris, Reny Puspasari, Zaenal Akbar, Ariani Indrawati, Yulia Aris Kartika, Lindung Parningotan Manik, Setiya Triharyuni, Hatim Albasri, Sandi Wibowo, and Hilman F. Pardede. "Harmful Algal Blooms Prediction Model: Dealing With Limited Datasets." In 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2023. http://dx.doi.org/10.1109/ic3ina60834.2023.10285812.

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Sujatha, Meera Gopinath, Devarshi Patel, Prakash Ranganathan, and Scott Korom. "Multi-variate Factors Assessment of Harmful Algal Blooms (HABs)." In 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC). IEEE, 2023. http://dx.doi.org/10.1109/icrtec56977.2023.10111916.

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Salman, Ibrahim, Nare Karapetyan, Archana Venkatachari, Alberto Quattrini Li, Annie Bourbonnais, and Ioannis Rekleitis. "Multi-Modal Lake Sampling for Detecting Harmful Algal Blooms." In OCEANS 2022, Hampton Roads. IEEE, 2022. http://dx.doi.org/10.1109/oceans47191.2022.9977137.

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Reports on the topic "Algal blooms"

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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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McQueen, Andrew, Alyssa Calomeni-Eck, Ciera Kinley-Baird, Elizabeth Smith, Gerard Clyde, and Marvin Boyer. Management strategy for overwintering cyanobacteria in sediments contributing to harmful algal blooms (HABs). Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48472.

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Cyanobacteria that cause harmful algal blooms (HABs) can overwinter in sediments as resting cells (akinetes or vegetative colonies) and contribute to seasonal bloom resurgences. However, to date there has been limited focus on management tactics specifically targeting the control of cyanobacterial sources from sediments. Targeting resting cells in sediments for preventative management may provide a viable approach to delay onset and mitigate blooms (Calomeni et al. 2022). However, there are limited resources for this novel strategy. Given the growing global impact of HABs, there is a need to develop management strategies focused on sediments as a potential source and contributor to HABs. Therefore, the objective of this report is to provide a management strategy in terms of approaches, information, and case study examples for managing overwintering cyanobacteria in sediments with the goal of mitigating seasonal HAB occurrences.
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Cender, Clinton, Catherine Thomas, Benjamin Greeling, Bradley Sartain, Ashley Gonzalez, and Martin Page. Pilot-scale optimization : Research on Algae Flotation Techniques (RAFT). Engineer Research and Development Center (U.S.), October 2023. http://dx.doi.org/10.21079/11681/47722.

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The impacts of harmful algal blooms (HABs) on US national waterways continue to cause significant economic and environmental damage. Re-searchers at the US Army Engineer Research and Development Center successfully demonstrated the Research on Algae Flotation Techniques (RAFT) project at pilot scale. This study was designed to show that the sur-face concentrations of algal biomass can be effectively increased with near linear scalability utilizing the natural methods by which some algae entrap air within excreted mucilage for flotation. The surface concentration of cyanobacteria measured as phycocyanin pigment increased by six-fold after RAFT flocculation treatment. Further optimization of chemical delivery systems, mixing, and dissolved air exposure will be required before full scale readiness.
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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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Pokrzywinski, Kaytee, Christopher Grasso, and Taylor Rycroft. Cyanobacteria harmful algal blooms (HABs) and US Army Engineer Research and Development Center (ERDC) : research and services. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41328.

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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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Michalsen, Mandy, Sheena Feist, Christine VanZomeren, Jennifer Seiter-Moser, and Ashleigh Boss. USACE freshwater harmful algal bloom research and development initiative. Engineer Research and Development Center (U.S.), February 2024. http://dx.doi.org/10.21079/11681/48176.

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Harmful Algal Blooms (HABs) represent a significant and costly threat to our nation’s economy and natural resources. This report outlines the US Army Corps of Engineers, Engineer Research and Development Center’s (USACE-ERDC’s) approach to deliver scalable technologies for prevention, early detection, and management of HABs to reduce HAB event frequency, severity, and duration.
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