Water quality monitoring is of little use without a clear and unambiguous definition of the reasons for the monitoring and the objectives that it will satisfy. Almost all monitoring (except perhaps
remote sensing) is in some part invasive of the environment under study and extensive and poorly planned monitoring carries a risk of damage to the environment. This may be a critical consideration in wilderness areas or when monitoring very rare organisms or those that are averse to human presence. Some monitoring techniques, such as
gill netting fish to estimate populations, can be very damaging, at least to the local population and can also degrade public trust in scientists carrying out the monitoring. Almost all mainstream environmentalism monitoring projects form part of an overall monitoring strategy or research field, and these field and strategies are themselves derived from the high levels objectives or aspirations of an organisation. Unless individual monitoring projects fit into a wider strategic framework, the results are unlikely to be published and the environmental understanding produced by the monitoring will be lost.
Monitoring programmes All scientifically reliable environmental monitoring is performed in line with a published programme. The programme may include the overall objectives of the organisation, references to the specific strategies that helps deliver the objective and details of specific projects or tasks within those strategies the key feature of any programme is the listing of what is being monitored and how that monitoring is to take place and the time-scale over which it should all happen. Typically, and often as an appendix, a monitoring programme will provide a table of locations, dates and sampling methods that are proposed and which, if undertaken in full, will deliver the published monitoring programme. There are a number of commercial
software packages which can assist with the implementation of the programme, monitor its progress and flag up inconsistencies or omissions but none of these can provide the key building block which is the programme itself.
Environmental monitoring data management systems (EDMS) Environmental data is collected from a variety of sources, from air quality, dust, noise, surface water, and groundwater. This data is often recorded in differing formats, comes from various sources, and has a multitude of compliance limits associated with it. Environmental teams within organisations need to collect, interpret, assess, and report on this, and the amount of data involved is often large. This makes the task difficult and time consuming to manage, especially when using tools not suitable for the job, such as spreadsheets which can be time consuming, error prone, unsecure and have no data trails. As a result commercial
software Environmental Data Management Systems (EDMS) or E-MDMS are increasingly in common use by regulated industries. EDMS provide a means of managing all monitoring data in a single central place, with quality validation, compliance checking, verifying all data has been received, and sending of alerts being automated. Typical interrogation functionality enables comparison of data sets both temporarily and spatially. They will also generate regulatory and other reports. One formal certification scheme exists specifically for
environmental data management software. This is provided by the
Environment Agency in the U.K. under its
Monitoring Certification Scheme (MCERTS). MCERTS for EDMS provides a formal scheme for the product certification of data management applications to achieve. It covers in-depth all major areas of development and coding standards, principles and practice, security and backups and ensures the availability of source code should the provider no longer be able to develop or support the application.
Sampling methods There are a wide range of
sampling methods which depend on the type of environment, the material being sampled and the subsequent analysis of the sample. At its simplest a sample can be filling a clean bottle with river water and submitting it for conventional chemical analysis. At the more complex end, sample data may be produced by complex electronic sensing devices taking sub-samples over fixed or variable time periods. Sampling methods include judgmental sampling, simple random sampling,
stratified sampling, systematic and grid sampling, adaptive
cluster sampling, grab samples, semi-continuous monitoring and continuous,
passive sampling, remote surveillance,
remote sensing,
biomonitoring and other sampling methods.
Judgmental sampling In judgmental sampling, the selection of sampling units (i.e., the number and location and/or timing of collecting samples) is based on knowledge of the feature or condition under investigation and on professional judgment. Judgmental sampling is distinguished from probability-based sampling in that inferences are based on professional judgment, not statistical scientific theory. Therefore, conclusions about the target population are limited and depend entirely on the validity and accuracy of professional judgment; probabilistic statements about parameters are not possible. As described in subsequent chapters, expert judgment may also be used in conjunction with other sampling designs to produce effective sampling for defensible decisions.
Simple random sampling In simple random sampling, particular sampling units (for example, locations and/or times) are selected using random numbers, and all possible selections of a given number of units are equally likely. For example, a simple random sample of a set of drums can be taken by numbering all the drums and randomly selecting numbers from that list or by sampling an area by using pairs of random coordinates. This method is easy to understand, and the equations for determining sample size are relatively straightforward. Simple random sampling is most useful when the population of interest is relatively homogeneous; i.e., no major patterns of contamination or “hot spots” are expected. The main advantages of this design are: • It provides statistically unbiased estimates of the mean, proportions, and variability. • It is easy to understand and easy to implement. • Sample size calculations and data analysis are very straightforward. In some cases, implementation of a simple random sample can be more difficult than some other types of designs (for example, grid samples) because of the difficulty of precisely identifying random geographic locations. Additionally, simple random sampling can be more costly than other plans if difficulties in obtaining samples due to location causes an expenditure of extra effort. In order to enable grab samples or rivers to be treated as representative, repeat transverse and longitudinal
transect surveys taken at different times of day and times of year are required to establish that the grab-sample location is as representative as is reasonably possible. For large rivers such surveys should also have regard to the depth of the sample and how to best manage the sampling locations at times of flood and drought. technology. Samplers can also take individual discrete samples at each sampling occasion or bulk up samples into composite so that in the course of one day, such a sampler might produce 12 composite samples each composed of 6 sub-samples taken at 20-minute intervals. Continuous or quasi-continuous monitoring involves having an automated analytical facility close to the environment being monitored so that results can, if required, be viewed in real time. Such systems are often established to protect important water supplies such as in the
River Dee regulation system but may also be part of an overall monitoring strategy on large strategic rivers where early warning of potential problems is essential. Such systems routinely provide data on parameters such as
pH,
dissolved oxygen,
conductivity,
turbidity and ammonia using sondes. It is also possible to operate
gas liquid chromatography with
mass spectrometry technologies (GLC/MS) to examine a wide range of potential
organic pollutants. In all examples of automated bank-side analysis there is a requirement for water to be pumped from the river into the monitoring station. Choosing a location for the pump inlet is equally as critical as deciding on the location for a river grab sample. The design of the pump and pipework also requires careful design to avoid artefacts being introduced through the action of pumping the water. Dissolved oxygen concentration is difficult to sustain through a pumped system and GLC/MS facilities can detect micro-organic contaminants from the pipework and
glands.
Passive sampling The use of passive samplers greatly reduces the cost and the need of infrastructure on the sampling location. Passive samplers are semi-disposable and can be produced at a relatively low cost, thus they can be employed in great numbers, allowing for a better cover and more data being collected. Due to being small the passive sampler can also be hidden, and thereby lower the risk of vandalism. Examples of passive sampling devices are the
diffusive gradients in thin films (DGT) sampler,
Chemcatcher,
polar organic chemical integrative sampler (POCIS),
semipermeable membrane devices (SPMDs),
stabilized liquid membrane devices (SLMDs), and an
air sampling pump.
Remote surveillance Although on-site data collection using electronic measuring equipment is common-place, many monitoring programmes also use remote surveillance and remote access to data in real time. This requires the on-site monitoring equipment to be connected to a base station via either a telemetry network, land-line, cell phone network or other telemetry system such as Meteor burst. The advantage of remote surveillance is that many data feeds can come into a single base station for storing and analysis. It also enable trigger levels or alert levels to be set for individual monitoring sites and/or parameters so that immediate action can be initiated if a trigger level is exceeded. The use of remote surveillance also allows for the installation of very discrete monitoring equipment which can often be buried, camouflaged or tethered at depth in a lake or river with only a short whip
aerial protruding. Use of such equipment tends to reduce
vandalism and theft when monitoring in locations easily accessible by the public.
Remote sensing Environmental remote sensing uses
UAV,
aircraft or
satellites to monitor the environment using multi-channel sensors. There are two kinds of remote sensing. Passive sensors detect natural radiation that is emitted or reflected by the object or surrounding area being observed. Reflected sunlight is the most common source of radiation measured by passive sensors and in environmental remote sensing, the sensors used are tuned to specific wavelengths from far
infrared through visible light frequencies to the far
ultraviolet. The volumes of data that can be collected are very large and require dedicated computational support. The output of data analysis from remote sensing are false colour images which differentiate small differences in the radiation characteristics of the environment being monitored. With a skilful operator choosing specific channels it is possible to amplify differences which are imperceptible to the human eye. In particular it is possible to discriminate subtle changes in
chlorophyll a and
chlorophyll b concentrations in plants and show areas of an environment with slightly different nutrient regimes. Active remote sensing emits energy and uses a passive sensor to detect and measure the radiation that is reflected or backscattered from the target.
LIDAR is often used to acquire information about the topography of an area, especially when the area is large and manual surveying would be prohibitively expensive or difficult. Remote sensing makes it possible to collect data on dangerous or inaccessible areas. Remote sensing applications include monitoring
deforestation in areas such as the
Amazon Basin, the effects of
climate change on
glaciers and Arctic and Antarctic regions, and
depth sounding of coastal and ocean depths. Orbital platforms collect and transmit data from different parts of the
electromagnetic spectrum, which in conjunction with larger scale aerial or ground-based sensing and analysis, provides information to monitor trends such as
El Niño and other natural long and short term phenomena. Other uses include different areas of the
earth sciences such as
natural resource management,
land use planning and conservation.
Biomonitoring The use of living organisms as monitoring tools has many advantages. Organisms living in the environment under study are constantly exposed to the physical, biological and chemical influences of that environment. Organisms that have a tendency to
accumulate chemical species can often accumulate significant quantities of material from very low concentrations in the environment.
Mosses have been used by many investigators to monitor
heavy metal concentrations because of their tendency to selectively adsorb heavy metals. Similarly,
eels have been used to study
halogenated organic chemicals, as these are adsorbed into the fatty deposits within the eel.
Other sampling methods Ecological sampling requires careful planning to be representative and as noninvasive as possible. For grasslands and other low growing habitats the use of a
quadrat – a 1-metre square frame – is often used with the numbers and types of organisms growing within each quadrat area counted Sediments and
soils require specialist sampling tools to ensure that the material recovered is representative. Such samplers are frequently designed to recover a specified volume of material and may also be designed to recover the sediment or soil living biota as well such as the
Ekman grab sampler.
Data interpretations The interpretation of environmental data produced from a well designed monitoring programme is a large and complex topic addressed by many publications. Regrettably it is sometimes the case that scientists approach the analysis of results with a pre-conceived outcome in mind and use or misuse statistics to demonstrate that their own particular point of view is correct. Statistics remains a tool that is equally easy to use or to misuse to demonstrate the lessons learnt from environmental monitoring.
Environmental quality indices Since the start of science-based environmental monitoring, a number of quality indices have been devised to help classify and clarify the meaning of the considerable volumes of data involved. Stating that a river stretch is in "Class B" is likely to be much more informative than stating that this river stretch has a mean BOD of 4.2, a mean dissolved oxygen of 85%, etc. In the
UK the
Environment Agency formally employed a system called General Quality Assessment (GQA) which classified rivers into six quality letter bands from A to F based on chemical criteria and on biological criteria. The Environment Agency and its devolved partners in Wales (Countryside Council for Wales, CCW) and Scotland (Scottish Environmental Protection Agency, SEPA) now employ a system of biological, chemical and physical classification for rivers and lakes that corresponds with the EU Water Framework Directive. == Environmental noise monitoring systems ==