dc.identifier.citation | Karlson, B.; Anderson, C.R.; Coyne, K.J.; Sellner, K.G. and Anderson, D.M. (2017) Designing an observing system for early detection of harmful algal blooms. In: Harmful Algal Blooms (HABs) and Desalination: a Guide to Impacts, Monitoring and Management. (eds. Anderson D. M.; Boerlage, S. F. E. and Dixon, M.B.). Paris, France, Intergovernmental Oceanographic Commission of UNESCO, pp.89-117. (IOC Manuals and Guides No. 78). DOI: http://dx.doi.org/10.25607/OBP-206 | en_US |
dc.description.abstract | Harmful algal blooms (HABs) are a serious and growing threat to many desalination plants. It
is therefore important to limit the impact from HABs by preventing blooms from reaching
seawater reverse osmosis (SWRO) plants in the first place, while also mitigating their effects
through pretreatment and other actions within the plant once intake has occurred.
In this chapter, traditional and emerging technologies in the field of HAB detection and
monitoring are summarized. Also advice on designing “observing systems” for early
detection or characterization of algal blooms is provided. These systems will vary
dramatically in terms of the number of parameters to be measured, the number of stations,
frequency of sampling and instruments used - all determined by desalination plant budgets
and personnel skills, the nature of the HAB threat for a given plant or region, and other such
considerations. An observing system might be as simple as visual observations of the color or
nature of the intake water, or as complex as a moored array of autonomous sensors outside
the plant, or weekly surveys from small vessels to determine what algal species and blooms
are in the intake area or surrounding waters, and thus likely to impact the plant.
There are a number of factors that complicate the design of an observing system. One is the
diversity of HAB species. Potentially harmful phytoplankton are found in many groups
(mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes,
cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes,
(cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB
species in the marine environment where desalination plants are located, many of the toxic
species that pose a threat to drinking water supply in fresh- or brackish-water systems are
cyanobacteria.
A second factor is that phytoplankton distribution in the sea is not uniform vertically or
horizontally in space or in time. This is termed “patchiness” and results from the interaction
between physical and biological processes. Examples are presented later in this chapter. The In this chapter, traditional and emerging technologies in the field of HAB detection and
monitoring are summarized. Also advice on designing “observing systems” for early
detection or characterization of algal blooms is provided. These systems will vary
dramatically in terms of the number of parameters to be measured, the number of stations,
frequency of sampling and instruments used - all determined by desalination plant budgets
and personnel skills, the nature of the HAB threat for a given plant or region, and other such
considerations. An observing system might be as simple as visual observations of the color or
nature of the intake water, or as complex as a moored array of autonomous sensors outside
the plant, or weekly surveys from small vessels to determine what algal species and blooms
are in the intake area or surrounding waters, and thus likely to impact the plant.
There are a number of factors that complicate the design of an observing system. One is the
diversity of HAB species. Potentially harmful phytoplankton are found in many groups
(mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes,
cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes,
(cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB
species in the marine environment where desalination plants are located, many of the toxic
species that pose a threat to drinking water supply in fresh- or brackish-water systems are
cyanobacteria.
A second factor is that phytoplankton distribution in the sea is not uniform vertically or
horizontally in space or in time. This is termed “patchiness” and results from the interaction
between physical and biological processes. Examples are presented later in this chapter. TheIn this chapter, traditional and emerging technologies in the field of HAB detection and
monitoring are summarized. Also advice on designing “observing systems” for early
detection or characterization of algal blooms is provided. These systems will vary
dramatically in terms of the number of parameters to be measured, the number of stations,
frequency of sampling and instruments used - all determined by desalination plant budgets
and personnel skills, the nature of the HAB threat for a given plant or region, and other such
considerations. An observing system might be as simple as visual observations of the color or
nature of the intake water, or as complex as a moored array of autonomous sensors outside
the plant, or weekly surveys from small vessels to determine what algal species and blooms
are in the intake area or surrounding waters, and thus likely to impact the plant.
There are a number of factors that complicate the design of an observing system. One is the
diversity of HAB species. Potentially harmful phytoplankton are found in many groups
(mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes,
cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes,
(cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB
species in the marine environment where desalination plants are located, many of the toxic
species that pose a threat to drinking water supply in fresh- or brackish-water systems are
cyanobacteria.
A second factor is that phytoplankton distribution in the sea is not uniform vertically or
horizontally in space or in time. This is termed “patchiness” and results from the interaction
between physical and biological processes. Examples are presented later in this chapter. The In this chapter, traditional and emerging technologies in the field of HAB detection and
monitoring are summarized. Also advice on designing “observing systems” for early
detection or characterization of algal blooms is provided. These systems will vary
dramatically in terms of the number of parameters to be measured, the number of stations,
frequency of sampling and instruments used - all determined by desalination plant budgets
and personnel skills, the nature of the HAB threat for a given plant or region, and other such
considerations. An observing system might be as simple as visual observations of the color or
nature of the intake water, or as complex as a moored array of autonomous sensors outside
the plant, or weekly surveys from small vessels to determine what algal species and blooms
are in the intake area or surrounding waters, and thus likely to impact the plant.
There are a number of factors that complicate the design of an observing system. One is the
diversity of HAB species. Potentially harmful phytoplankton are found in many groups
(mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes,
cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes,
(cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB
species in the marine environment where desalination plants are located, many of the toxic
species that pose a threat to drinking water supply in fresh- or brackish-water systems are
cyanobacteria.
A second factor is that phytoplankton distribution in the sea is not uniform vertically or
horizontally in space or in time. This is termed “patchiness” and results from the interaction
between physical and biological processes. Examples are presented later in this chapter. The simultaneous use of multiple monitoring methods is therefore often necessary to characterize
the species composition and extent of blooms, but even then, a full picture of the distribution
of a HAB may not be achievable. | en_US |