|
Hydrological regime
Relevance
Type of model
Data required
Case study: data to underpin hydrological
modelling
The purpose of studying the hydrological regime
is to determine the movement and fate of water quality
parameters, e.g. nutrients, within the site and
therefore to better understand the interaction between
these and features of conservation interest, to
help target monitoring or further survey, and to
inform the development of management measures by
providing a predictive tool.
Relevance
The hydrographic regime has a profound influence
on the conservation interest of most lagoons, and
the factors affecting such interests. Therefore,
investigating the hydrographic regime of any lagoon
will be crucial to many management measures intended
to maintain its conservation interest. Models of
annual nutrient budgets are useful at a coarse level
to help determine the importance of different nutrient
sources but are not sufficient to properly target
nutrient sources for further study or reduction
in flows or concentrations and predict the outcome
of changing inputs through management measures.
Deterministic models allow predictions of effects
of changing concentrations or flows of all the sources
included in them. It is therefore possible to target
sources which will make a difference, and avoid
ineffective action and use of funds. Use of such
models is, however, unlikely to be able to incorporate
the effects of extreme events such as storms etc.
which may well be important in lagoons.
Type of model
Models which take into account the hydrographic
conditions within the lagoon and incorporate seasonal
variations (dependent on rainfall, inflow and flushing
characteristics) have been shown by the Fleet study
to be essential. The hydrographic conditions within
many lagoons will be complex and difficult to ascertain,
and will vary between different lagoon sites. Within
a single, larger lagoon (such as the Fleet) the
lagoon may be divided into different parts with
very different hydrographic conditions. In terms
of seasonal variation, in the Fleet, for example,
seasonal growth of seagrass affects flows because
the lagoon is so shallow.
Many saline lagoons, at least of the inlet type,
will be similar to the Fleet in being characterised
by unusual hydrodynamic properties. The case study
has demonstrated the need to develop numerical hydraulic
models more suitable to shallow, relatively low
flow systems than many current models developed,
for example, for estuaries. Therefore, use of appropriate
models is recommended. Such models will need to
be adapted to each individual lagoon site, and should
be capable of predicting the effects of changes
in flows and nutrient inputs over a range of conditions.
Data required
Knowledge of tidal regimes and freshwater flows
into and out of the lagoon (including via groundwater
and percolation) will be required. Where separate
lagoons are close together, their hydrological regimes
may be interconnected (eg. by channels, percolation,
or groundwater transfer), and knowledge of this
will be required in order to determine sources of
nutrients and possible remediation strategies if
necessary.
At a coarse level, some of the above parameters
can be estimated for inclusion in a crude model.
However, in order to estimate better the importance
of different sources of water and nutrients, further,
more refined data and studies will usually be necessary.
These may include studies of the local tidal regime,
local bathymetry (especially if it is complex),
freshwater, discharge and diffuse input flows (and
their variation), percolation and groundwater quality
and flows. Building of a more complex model may
be expensive, but once constructed it may prove
invaluable for future management of the site. Such
models can be used to run scenarios and predict
the effects of suggested changes to any of the parameters
included in them.
Case study: data to underpin hydrological
modelling
For the Fleet study, good hydrographical data were
available from earlier studies (Robinson 1983 and
Robinson et al 1983) which could be used
for both crude and more detailed modelling. This
is unlikely to be the case for other lagoon sites.
Even with this existing data, due to the shallow
nature of the Fleet lagoon and its complex shape,
further bathymetric information was required in
order to construct a reasonably accurate model of
its flow regime. Problems were encountered with
use of the new bathymetric data (location and depth
of small channels were not fully represented), which
could be avoided given better communication between
the modellers and the surveyors or commissioning
agency on what data were required and from where.
Next Section
References
|