• Title/Summary/Keyword: Algae bloom

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Effect of MLSS and Micro-algae on Nitrification based Photosynthetic Oxygen (MLSS와 미세조류가 광합성 산소기반 질산화에 미치는 영향)

  • Lee, Jiwon;Gil, Kyungik
    • Journal of Wetlands Research
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    • v.19 no.4
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    • pp.508-514
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    • 2017
  • Water-bloom and red tide due to eutrophication have been overgrown and have caused various environmental problems. Recently, however, research on bid-diesel that can utilize algae as an energy source has been actively carried out. In particular, many studies variously have been conducted to utilize algal photosynthesis oxygen as a supply method for reducing the energy by an air blower in MWTP. In this study, a lab scale algae-nitrification reactor was operated to replace the oxygen required for nitrogen removal and the operation period was largely divided into three sections. In the first section, ammonia nitrogen removal efficiency was 24 ~ 38% according to the MLSS (Mixed Liquer Suspended Solid) concentration. In the second section, ammonia nitrogen removal efficiency was 38 ~ 50% according to the micro-algae concentration and in the last section ammonia nitrogen removal efficiency was 61 ~ 80% according to HRT (Hydraulic Retention Time). As a result, as the MLSS decreased and algae biomass increased, the ammonia nitrogen removal efficiency tended to increase, but the effect of Algae biomass was greater than that of MLSS.

Studies on the Environmental characteristics and Phytoplankton Community in the Nakdong River estuary (낙동강 하구 환경특성 및 식물플랑크톤의 군집구조에 관한 연구)

  • 문창호;최혜지
    • 한국해양학회지
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    • v.26 no.2
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    • pp.144-154
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    • 1991
  • After the completion of the Nakdong River estuary barrage, environmental characteristics and phytoplankton communities in the estuary were investigated from April to December, 1989. dissolved oxygen seems to have decreased in the just lower region of the barrage off Janglim, while ammonia and phosphate concentration increased, probably due to the waste discharge from the Janglim stream and stagnation of water after the barrage construction. Concentrations of nitrate and dissolved silicate were negatively correlated with salinity, suggesting that major source is the Nakdong River discharge. In April, there was a diatom (Asterinella sp.) bloom in the upper region of the barrage, while in July, a diatom (Skeletonema costatum) bloom in the estuary mouth. The green and blue-green algae in species composition seem to have increased after the barrage construction. The relatively high concentration of chlorophyll b in the upper region of the barrage probably result from the high density of freshwater green-algae there. Among the species occurred in the study area, many were indicative of water pollution. It seems that environmental characters and phytoplankton communities are changing after the barrage construction.

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Substitutability of coagulation process by pre-treatment of coagulation·flotation using natural algae coagulant (천연조류제거제를 활용한 응집·부상 전처리공정의 기존 응집공정 대체 가능성)

  • Jang, Yeo-Ju;Jung, Jin-Hong;Lim, Hyun-Man;Chang, Hyang-Youn;Kim, Weon-Jae
    • Journal of Korean Society of Water and Wastewater
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    • v.31 no.1
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    • pp.39-50
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    • 2017
  • In the coagulation/sedimentation (C/S) process of the water treatment process, the inflow of massive algal bloom causes many problems including fouling of filter media. This study was conducted to find out the way to remove the algae's harmful effects by addition of pre-treatment prior to C/S process. Many Jar-tests were conducted such as (1) ACF (Algae Coagulation Flotation) process using natural algae coagulant (Water $Health^{(R)}$), (2) ACF + C/S process and (3) C/S process with a variety of conditions using cultured algae. The average values of turbidity were (1) 0.42 NTU for ACF process, (2) 0.13 NTU for ACF + C/S process and (3) 0.25 NTU for C/S process. It was shown that the treatment efficiency of ACF process could get low turbidity results, and ACF + C/S process could achieve more efficient results than those of C/S process. Any negative effects of ACF process to the efficiency of C/S process were not observed in ACF + C/S process. In order to reduce the unfavorable effects of algae, it was found out that the introduction of ACF process in the forms of (1) ACF or (2) ACF + C/S could be one of the effective and alternative solutions.

A study on the correlation between non-point source pollutants from the forest of Juam basin and algae bloom in the Juam lake. (주암호유역 산림기원 비점오염원물질과 주암호에 서식하는 조류번식간의 상관성 규명)

  • Kim, Nam-Jong;Shin, Dae-Yewn
    • Journal of environmental and Sanitary engineering
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    • v.21 no.4 s.62
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    • pp.39-48
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    • 2006
  • In Juam basin, the ratio of non-point pollution source among pollutant loading of basin was significantly high, since the utilization level of land was high. In addition, the most pollutants were not treated and flowed out. In this study, the correlation between non-point source pollutants from the forest area and increasing algae was investigated. 1. Chl-a concentration flowed out to runoff from forest area and stream water was low as $0.1{\sim}20.3{\mu}g/{\ell}$ and $0.1{\sim}9.3{\mu}g/{\ell}$, respectively, and chl-a concentration ($0.1{\sim}28.5{\mu}g/{\ell}$) of branch stream was higher $5{\sim}7$ times than that of runoff from forest area. 2. In correlation between runoff from forest area and Juam lake water, annual chl-a concentration of area front Juam dam was higher twice than forest area. 3. In runoff from forest area within Juam basin, flagellate, green, diatom and blue algae occupied $33.0{\sim}41.7%$, $22.2{\sim}30.8%$, $17.3{\sim}22.5%$ and $13.7{\sim}17.6%$, respectively. 4. In runoff from forest area, both green and diatom algae were maintained constantly irrespectively of season, and flagellate algae dominated since August. 5. In characteristics by forest tree types, four types algae were inhabited in mixed forest, and flagellate algae were higher in conifer and broadleaf forest than in other area. And green algae in herbaceous forest were higher than other area.

Algal Bloom and Distribution of Prorocentrum Population in Masan-Jinhae Bay (마산-진해만에서 Prorocentrum 개체군의 발생양상과 분포)

  • 최만영;곽승국;조경제
    • Korean Journal of Environmental Biology
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    • v.18 no.4
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    • pp.447-456
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    • 2000
  • Genus Prorocentrum of dinoflagellate has been known as representative causative algae of red tide in Masan-Jinhae Bay. Prorocentrum populations- P. dentatum Stein, p. micans Ehrenberg, P. minimum (Pavillard) Schiller and P. triestinum Schiller- were monitored from January 1990 to August 1997, Prorocentrum populations usually have bloomed during the water stratification periods from June to August. Water temperature ranged from 24$^{\circ}C$ to 28$^{\circ}C$ and salinity from 24$\textperthousand$ to 34$\textperthousand$ during the Prorocentrum blooms. Bloom magnitude of Prorooentrum populations gradually increased from offshore to inshore area of coastal embayment and this populations tended to concentrate from surface to 2.5m depth. Prorocentrum algal blooms have become more frequent and intense than those of 1980s and early 1990s. P. minimum was the most persistent species in terms of bloom frequency and cellular abundance.

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Spatial Distribution Mapping of Cyanobacteria in Daecheong Reservoir Using the Satellite Imagery (위성영상을 이용한 대청호 남조류의 공간 분포 맵핑)

  • Back, Shin Cheol;Park, Jin Ki;Park, Jong Hwa
    • Journal of The Korean Society of Agricultural Engineers
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    • v.58 no.2
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    • pp.53-63
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    • 2016
  • Monitoring of cyanobacteria bloom in reservoir systems is important for water managers responsible of water supply system. Cyanobacteria affect the taste and smell of water and pose considerable filtration problems at water use places. Harmful cyanobacteria bloom in reservoir have significant economic impacts. We develop a new method for estimating the cyanobacteria bloom using Landsat TM and ETM+ data. Developed model was calibrated and cross-validated with existing in situ measurements from Daecheong Reservoir's Water Quality Monitoring Program and Algae Alarm System. Measurements data of three stations taken from 2004 to 2012 were matched with radiometrically converted reflectance data from the Landsat TM and ETM+ sensor. Stepwise multiple linear regression was used to select wavelengths in the Landsat TM and ETM+ bands 1, 2 and 4 that were most significant for predicting cyanobacteria cell number and bio-volume. Based on statistical analysis, the linear models were that included visible band ratios slightly outperformed single band models. The final monitoring models captured the extents of cyanobacteria blooms throughout the 2004-2012 study period. The results serve as an added broad area monitoring tool for water resource managers and present new insight into the initiation and propagation of cyanobacteria blooms in Daecheong reservoir.

Property of Water Environment and Evaluation of Zooplankton as Predators for the Control of Algal Bloom in the Agricultural Reservoir (농업용저수지의 녹조제어를 위한 수환경 특성과 포식성 천적생물의 분리 및 효과분석)

  • Nam, Gui-Sook;Song, Young-Hee;Lee, Eui-Haeng;Hong, Dae-Byuk;Han, Myung-Soo
    • KCID journal
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    • v.18 no.1
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    • pp.33-43
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    • 2011
  • Jundae reservoir has basin area of 234ha, average depth of 3.77m and total storage of $619{\times}10^3m^3$, and is located in Dangin-gun, Chungcheongnam-do. The water quality of Jundae reservoir exceeded the IV grade of water quality standard as available for irrigation water in COD, TN, TP, Chl-a. COD and Chl-a were higher in spring season, because the algal bloom by phytoplankton increased. And the algal blooms in October by inflow non-point pollution during summer rainy season. The most dominant zooplankton was rotifers during study period at all stations. Dominant species were Keratella cochlearis, Polyarthra spp., and Trichocerca spp. We successfully established 2 isolated clone cultures as predator. One is Rotifer, Euchlanis sp. and another is cladocerans, Bosmina sp. To test the removal rate of 2 cultures against Microcystis aeruginosa, we inoculated Euchlanis sp. and Bosmina sp. separately when the abundance reached at $1.0{\times}10^6$cells/ml. Euchlanis sp. removed M. aeruginosa around 98.9% and Bosmina sp. removed it around 98.4%. They are useful grazers for controling algae blooms, Euchlanis sp. and Bosmina sp. feeding on M. aeruginosa highly.

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Analysis of Water Quality Variation by Lowering of Water Level in Gangjeong-Goryong Weirin Nakdong River (낙동강 강정고령보 수위저하 운영에 따른 수질 변동특성 분석)

  • Park, Dae-Yeon;Park, Hyung-Seok;Kim, Sung-Jin;Chung, Se-Woong
    • Journal of Environmental Impact Assessment
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    • v.28 no.3
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    • pp.245-262
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    • 2019
  • The objectives of this study were to construct a three-dimensional water quality model (EFDC) for the river reach between Chilgok Weir and Gangjeong-Goryong Weir (GGW) located in Nakdong River, and evaluate the effect of hydraulic changes, such as water level and flow velocity, on the control of water quality and algae biomass. After calibration, the model accurately simulated the temporal changes of the upper and lower water temperatures that collected every 10 minutes, and appropriately reproduced changes in organic matter, nitrogen, phosphorus, and cyanobacteria. However, the simulated values were overestimated for the diatoms and green algae cell density, possibly due to the uncertainties of the parameters associated with algae metabolism and the lack of zooplankton predation function in the simulations. As a result of scenario simulation of running the water level of GGW from EL. 19.44 m to EL. 14.90 m (4.54 m drop), Chl-a and algae cell density decreased significantly.In particular,the cyanobacteria on the surface layer, which causes algal bloom, declined by 56.1% in the low water level scenario compared to the existing management level. The results of this study are in agreement with the previous studies that maintenance of critical flow velocity is effective for controlling cyanobacteria, and imply that hydraulic control such as decrease of water level and residence time in GGW is an alternative to limit the overgrowth of algae.

Prediction of cyanobacteria harmful algal blooms in reservoir using machine learning and deep learning (머신러닝과 딥러닝을 이용한 저수지 유해 남조류 발생 예측)

  • Kim, Sang-Hoon;Park, Jun Hyung;Kim, Byunghyun
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1167-1181
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    • 2021
  • In relation to the algae bloom, four types of blue-green algae that emit toxic substances are designated and managed as harmful Cyanobacteria, and prediction information using a physical model is being also published. However, as algae are living organisms, it is difficult to predict according to physical dynamics, and not easy to consider the effects of numerous factors such as weather, hydraulic, hydrology, and water quality. Therefore, a lot of researches on algal bloom prediction using machine learning have been recently conducted. In this study, the characteristic importance of water quality factors affecting the occurrence of Cyanobacteria harmful algal blooms (CyanoHABs) were analyzed using the random forest (RF) model for Bohyeonsan Dam and Yeongcheon Dam located in Yeongcheon-si, Gyeongsangbuk-do and also predicted the occurrence of harmful blue-green algae using the machine learning and deep learning models and evaluated their accuracy. The water temperature and total nitrogen (T-N) were found to be high in common, and the occurrence prediction of CyanoHABs using artificial neural network (ANN) also predicted the actual values closely, confirming that it can be used for the reservoirs that require the prediction of harmful cyanobacteria for algal management in the future.

Growth Characteristics of Blue-green Algae (Anabaena spiroides) Causing Tastes and Odors in the North-Han River, Korea (북한강 수계에서 이취미를 유발하는 남조류(Anabaena spiroides)의 증식 특성)

  • You, Kyung-A;Byeon, Myeong-Seop;Youn, Seok-Jea;Hwang, Soon-Jin;Rhew, Doug-Hee
    • Korean Journal of Ecology and Environment
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    • v.46 no.1
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    • pp.135-144
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    • 2013
  • Blue-green algae blooms occurred during early winter in the North-Han River, Korea. Among blue-green algae, Anabaena spiroides were observed for approximately 33 consecutive days, between 28 November and 30 December, 2011. A. spiroides emerged from Lake Uiam to Lake Paldang, depending on the flow of the river has spread downstream. Changes of physical water environment like rising water temperature and increasing hydraulic retention time influenced the A. spiroides bloom. The A. spiroides bloom showed a very rapid increase in cell density, and a slow decrease: the cell density increased to a maximum of $11,325cells\;mL^{-1}$ in Lake Paldang (st. 5), and was completely disappeared after the water temperature dropped below $4^{\circ}C$. A decrease in water temperature was the most influential factor among all environmental parameters, for the reduction of A. spiroides cell density. The A. spiroides bloom was accompanied with the occurrence of very high concentrations of the odor metabolite geosmin. Geosmin reached the peak value of $1,640ng\;L^{-1}$ in Lake Paldang (st. 4). The geosmin concentration was very strongly correlated with cell numbers of A. spiroides.