Assessing the occurrence of cyanobacterial blooms in a large Brazilian reservoir using satellite remote sensing

被引:0
|
作者
von Rueckert, Gabriela [1 ]
Giani, Alessandra [1 ]
Dutra, Luciano Vieira [2 ]
机构
[1] UFMG Belo Horizonte, Lab Ficol, Belo Horizonte, MG, Brazil
[2] INPE, Dept Processamento Imagens, Sao Paulo, Brazil
关键词
Brazil; cyanobacteria; eutrophication; remote sensing; reservoirs; CHLOROPHYLL;
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In the last decades many large reservoirs, such as Furnas Reservoir, were built in southeastern Brazil to provide sufficient power supply to the region. External nutrient inputs from agriculture and domestic sewage, however, caused an increase of eutrophication in these systems and, consequently, an increase in cyanobacterial blooms. Blooms of cyanobacteria are associated with several problems in water quality such as dissolved oxygen depletion, taste and odor, and unsafe drinking water due to the presence of cianotoxins (CARMICHAEL 2001, VINCENT et al. 2004). In Furnas Reservoir, cyanobacterial dominance or blooms may occur throughout the year. Several potential toxic species were observed, including Cylindrospermopsis Lyngbya hieronymusii, Microcystis aeruginosa, M. novaceckii, M. panniformis, M. protocystis. Planktothrix planctonica, Radiocystis fernandoi, and Sphaerocavum brasiliensis. Because some reservoirs are also used as drinking water sources, cyanobacterial potential toxicity can Le a threat for human health, and early detection of blooms is an important asset. Orbital remote sensing can provide a tool for rapid detection and quantification of blooms because it allows monitoring large areas, such as an entire aquatic system, inside a short temporal scale (THIEMANN & KAUFMANN 2000, KUTSER 2004). Algorithms have been developed for aquatic systems monitoring. Some programs like Sea-viewing Wide Field-of-view Sensor (SeaWIFS) were established in the ocean, and they showed the potential use of remote sensing for aquatic environment studies (e.g., GREGG & CONKRIGHT 2002).
引用
收藏
页码:1345 / +
页数:2
相关论文
共 50 条
  • [1] Monitoring cyanobacterial blooms by satellite remote sensing
    Kutser, T
    Metsamaa, L
    Strömbeck, N
    Vahtmäe, E
    [J]. ESTUARINE COASTAL AND SHELF SCIENCE, 2006, 67 (1-2) : 303 - 312
  • [2] Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing
    Kutser, T
    [J]. LIMNOLOGY AND OCEANOGRAPHY, 2004, 49 (06) : 2179 - 2189
  • [3] Cyanobacterial Blooms as an Indicator of Environmental Degradation in Waters and Their Monitoring Using Satellite Remote Sensing
    Oyama, Yoichi
    Matsushita, Bunkei
    Fukushima, Takehiko
    [J]. AQUATIC BIODIVERSITY CONSERVATION AND ECOSYSTEM SERVICES, 2016, : 71 - 85
  • [4] Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing
    Coffer, Megan M.
    Schaeffer, Blake A.
    Darling, John A.
    Urquhart, Erin A.
    Salls, Wilson B.
    [J]. ECOLOGICAL INDICATORS, 2020, 111
  • [5] Ten-year survey of cyanobacterial blooms in Ohio's waterbodies using satellite remote sensing
    Gorham, Tyler
    Jia, Yuanyuan
    Shum, C. K.
    Lee, Jiyoung
    [J]. HARMFUL ALGAE, 2017, 66 : 13 - 19
  • [6] A method for quantifying the number of US lakes with cyanobacterial harmful algal blooms using satellite remote sensing
    Coffer, Megan M. A.
    Schaeffer, Blake A.
    Urquhart, Erin A.
    Darling, John A.
    Salls, Wilson B.
    [J]. REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XV, 2018, 10767
  • [7] Remote sensing of cyanobacterial blooms in Lake Champlain, USA
    Trescott, Adam
    Isenstein, Elizabeth
    Park, Mi-Hyun
    [J]. WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2013, 13 (05): : 1402 - 1409
  • [8] Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing
    Mishra, Sachidananda
    Stumpf, Richard P.
    Schaeffer, Blake A.
    Werdell, P. Jeremy
    Loftin, Keith A.
    Meredith, Andrew
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [9] Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing
    Sachidananda Mishra
    Richard P. Stumpf
    Blake A. Schaeffer
    P. Jeremy Werdell
    Keith A. Loftin
    Andrew Meredith
    [J]. Scientific Reports, 9
  • [10] Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters
    Kudela, Raphael M.
    Palacios, Sherry L.
    Austerberry, David C.
    Accorsi, Emma K.
    Guild, Liane S.
    Torres-Perez, Juan
    [J]. REMOTE SENSING OF ENVIRONMENT, 2015, 167 : 196 - 205