Instrumentation is often used to monitor the performance of engineered infrastructure slopes. This paper looks at the current role of instrumentation and monitoring, including the reasons for monitoring infrastructure slopes, the instrumentation typically installed and parameters measured. The paper then investigates recent developments in technology and considers how these may change the way that monitoring is used in the future, and tries to summarize the barriers and challenges to greater use of instrumentation in slope engineering. The challenges relate to economics of instrumentation within a wider risk management system, a better understanding of the way in which slopes perform and/or lose performance, and the complexities of managing and making decisions from greater quantities of data.
Linear earthwork assets in the form of cuttings and embankments are a major component of modern transport systems, and their performance is critical to ensuring transport operations are safe and reliable. Earthwork slope failures pose significant hazard: failures in embankments may undermine roads and railways, slips in cuttings may cause material to obstruct transport routes, posing risks to drivers and causing derailment of trains (e.g. Table 1), and there are numerous locations where road and rail routes span large, and often slow-moving, landslides. Across Europe, field monitoring is widely used to help understand mechanisms of movement and deterioration, assess condition and risk, and provide design parameters for repair of slopes.
Geotechnical monitoring is usually applied only to earthworks or natural slopes that are causing or showing specific problems, often in the form of excessive displacements. A common approach is to drill boreholes and install instrumentation to measure soil displacement and groundwater levels; these may be used in assessment of potential risk or early warning (if movements accelerate), or in analysis of stability or design of remedial measures. Accessing steeply sloping ground to drill boreholes for instrumentation can be costly, and monitoring of this type can be applied only to slopes causing significant hazard.
Regular assessment can identify slopes that may be at risk of failure: this is often carried out by visual inspection (looking for signs of movement), combined with information on the slope angle, and the nature of ground and potential groundwater conditions. There are limitations to such assessments: vegetation can often obscure signs of ground movement; slopes may not always show signs of distress and instead fail in a brittle and rapid manner; the exact nature of ground and groundwater conditions is often estimated. Visual inspections may have limited usefulness in predicting the onset of instability, as they provide little or no information on subsurface processes that are a precursor to slope failure. Slopes that are not necessarily known to be a hazard can fail unexpectedly, presenting problems for the safe operation of transport systems. As a result, there is growing interest from asset owners in more pervasive approaches that would allow more widespread condition monitoring of geotechnical assets. Such approaches rarely involve drilling boreholes as this would be too costly to apply to long lengths of asset; instead, many apply monitoring of surface displacements or strain, soil water content or climate. A network of sensors can also be linked by wireless connections, with data uploaded to the internet. Geophysical monitoring (e.g. by means of electrical resistivity tomography (ERT) and seismic methods), remote sensing using satellites, or ground-based radar or light distance and ranging (LiDAR) all provide alternative pervasive approaches. However, many such systems are relatively untried for monitoring of engineered slopes, and it is not completely clear how monitored parameters such as surface displacements or soil moisture content should be used in indication of increased risk or incipient failure; there is often insufficient knowledge about slope processes to link physical parameters with risk of failure.
Where problem slopes are large, or are in very challenging terrain, continual monitoring and assessment may be applied instead of remedial measures, which may simply be impractical owing to excessive size or cost. Monitoring can be used to gauge the likelihood of incipient failure and provide early warning. In such circumstances, monitoring needs to be continuous, reliable and reported in near ‘real time’, with clear criteria to suit the level of expertise needed to make a judgement (Stähli et al. 2014). Asset owners commonly differentiate their monitoring systems depending on function, so that a safety critical system would be defined as an ‘alarm’ system and would have additional stipulations on its set-up and use compared with a conventional ‘monitoring’ system. For large time-series datasets, for which manual interrogation is impractical, automated systems may process and analyse data to determine when critical predefined thresholds have been exceeded (e.g. Smith et al. 2014b). The reliability of an instrumentation system is dependent on continued operation of instruments often placed in challenging environmental conditions, and the setting of suitable thresholds. False alarms can be costly in terms of money, confidence and reputation if they unnecessarily halt rail and road traffic.
Instrumentation may also be used for research or to provide long records of how slopes may progressively deteriorate with time, or how long periods of climate may influence pore pressures and movements (e.g. Smethurst et al. 2012; Springman et al. 2012). This information obtained from instrumentation may be vital in understanding deterioration and modes of failure (of which there may be many); this information can feed back into improved conceptual and numerical models that seek to identify assets that may be at risk. In some geologies and environments, deterioration mechanisms are complex, and there is considerable progress still to be made in working out how to monitor these and incorporate them in models (Dijkstra & Dixon 2010; Springman et al. 2012; Briggs et al. 2017).
Climate change presents an increased risk to slopes. Research starting to investigate the impact that climate change may have on transport slopes indicates that more extreme periods of climate, coupled with ageing assets, may cause a higher rate of failures. Climate changes that pose a threat to engineered slopes include more extreme rainfall events (both heavy showers and long periods of rain), drought and increased freeze–thaw cycles (Springman et al. 2009; Clarke & Smethurst 2010; Bles et al. 2015). A greater use of instrumentation may help to manage the risk that climate change poses to transport systems.
There is evidence that proactive management of slopes can be much more cost effective than reactive repairs following failure (Glendinning et al. 2009). Instrumentation and monitoring can form an important component of a long-term earthworks asset management strategy. Asset owners are often required by regulatory bodies to show continual improvement in asset management and safety; this has included investing in greater use of monitoring to control and manage risk. Thus the opportunities to use and develop techniques for condition monitoring are now very favourable.
In summary, there are several uses for instrumentation and monitoring in geotechnical asset management; and a plethora of challenges. This state-of-the-art review seeks to consider existing conventional approaches to instrumentation for slopes (what to monitor for a range of applications), to look at new instrumentation and technology that may seek to change monitoring approaches for slopes (with examples of several systems under development or trial), and to seek to ‘futuregaze’ at the next set of challenges that new technology will pose, and suggest how instrumentation should be developed in the future.
Applications for monitoring
A number of applications for instrumentation and monitoring of infrastructure slopes have been considered in the introduction, and these will be described in further detail here. These may be summarized as: (1) monitoring the condition of slopes (which may include earthworks that are subject to significant changes in loading or profile, and verifying the performance of remedial measures); (2) obtaining parameters for use in design of remedial schemes (in combination with a model); (3) early warning systems to provide alarm or indication of incipient failure; (4) monitoring slopes to manage risk at the infrastructure corridor scale; (5) monitoring slopes to understand mechanisms of degradation and response to trigger events, to provide better conceptual models of slope performance; (6) development and testing of new instrumentation. This list may not be exhaustive, but many monitoring needs should fall within one of these categories.
All applications for monitoring should have an overarching aim of assisting asset management, which may be defined as ‘co-ordinated activities and practices through which an organization optimally and sustainably manages its assets and asset systems, their associated performance, risks and expenditure over their life cycles for the purpose of achieving its organisational strategic plan’ (Hooper et al. 2009). However, each of the applications listed above may address different parts of an asset management strategy, and thus have a differing specific aim for which the type of instrumentation, reading intervals and duration, volume and processing of data, and analysis and decision-making process may all be very different (Dunnicliff 1993). Table 2 provides further consideration of these common applications. It should be noted that Table 2 may not cover all applications, and there are also other ways of categorizing monitoring approaches and systems (e.g. see Hooper et al. 2009).
Members of the COST Action have provided details for a number of key example case histories, for which extensive monitoring datasets are available, covering a range of the applications above. Some are referenced in the ‘example case histories’ column of Table 2, and full details of the sites, including owners of the datasets, are given on the Action website www.bgs.ac.uk/cost1202/ (where they are labelled ‘WG2 completed proformas’).
What to monitor
An instrumentation and monitoring scheme should be designed and set up to achieve specific aims (Dunnicliff 1993; Chapman et al. 2012); six applications with different aims have been considered in the previous section. The intended aims of the scheme should dictate the monitoring objectives, which lead to detailed design of instrumentation type, number of instruments, method of installation, data collection approach and reading interval, and how the data are stored, analysed and interpreted. The design of a monitoring scheme should be guided by previous site investigation information, and in some cases a detailed ground model (Fookes 1997) and the predicted hazard.
This paper does not intend to be an exhaustive guide to all available types of instrumentation; however, suggestions for the parameters that could be monitored for each of the applications of monitoring are given in Table 2. These are only indicative, and may vary considerably for the wide range of possible sites and geology that could fall into each category.
The commonly measured parameters are as follows.
Ground displacements. These are commonly measured using inclinometers, extensometers, tilt meters and crack meters (measuring lateral, vertical, rotational and extensional movements respectively). There are also many approaches to measurement of surface displacement, such as using photogrammetry, radar interferometry and LiDAR. Displacement or strain tends to be fairly easy to measure, and in-ground instruments in particular can do so with considerable precision, if installed and read carefully. Measurements can show if ground displacements are taking place, to what depth movements occur, and the magnitude of displacements. It is notable that slope stability is controlled by stress (the strength of soil and rock materials, as input into a stability analysis), but stresses in the ground are difficult to measure and may be dependent on the stress history of the soil, which is often unknown. Strains (or displacements) are measured instead. However, to gain understanding of the failure mechanism from these measurements there is generally a need to understand the stiffness and deformation behaviour of the soils concerned. Trying to judge incipient failure using displacements in very stiff (or very soft, in the case of some glaciomarine clays) brittle materials, may be difficult.
Ground water pressures. Increased strain or complete failure in many slopes is caused by changes in effective stress, in turn caused by increases in porewater pressure. Thus porewater pressures are commonly monitored, using a range of differing types of piezometer. In partially saturated slopes, stability may be aided by porewater suctions, and instruments that can measure suction or loss of suctions may be important (see Ridley et al. 2003; Springman et al. 2012).
Climate or weather. Rainfall is commonly monitored, as this has a direct influence on saturation of the ground and soil porewater pressures. Depending on the nature of the ground, periods of prolonged heavy rainfall, over hours, days or months, will cause porewater pressures to rise, possibly triggering failure. Longer term records of rainfall, often combined with evaporation or evapotranspiration to give effective rainfall, can be used as an indication of increased periods of risk of slope instability (Clarke & Smethurst 2010). Very short high-intensity rainfall events can trigger slope failure, and are also often of interest. Temperature, and in colder climates ground temperature, is also important; for example, thawing of frozen ground can lead to increased water pressures, which may destabilize slopes.
There are a wide selection of monitoring approaches available for slopes, including different modes of sensor deployment (explored further in the next section), the measurement of parameters not listed above, and use of techniques that are less well established and/or are still in development. The selection of instrumentation to meet the specific objectives of a monitoring scheme usually considers the accuracy, precision, sensitivity, reliability and spatial and temporal resolution of different techniques (Dixon et al. 2015). Detailed descriptions of well-established geotechnical instrumentation approaches have been given by Dunnicliff (1993), and are also categorized in the recent European geotechnical monitoring standard (BS EN ISO 18674-1:2015, BSI 2015). Novel monitoring approaches will be considered later in this review.
Comments on the frequency of readings, and interpretation of resulting data, for the six categories of monitoring application are given in Table 2. Some of the applications that require large quantities of data to be analysed rapidly remain challenging, and some of the issues surrounding these will also be discussed below.
How to monitor
Monitoring can be carried out using a wide range of modes of sensor deployment; for example, from repeated manual measurements within a borehole for determining changes at a site scale, to satellite-based sensors for monitoring ground surface displacements at a regional scale. Key distinctions include the following: (1) ground-based v. remotely located sensors (airborne or satellite); (2) static v. dynamic (moving) sensors; (3) surface v. subsurface information; (4) point sensors v. spatial or volumetric monitoring technologies; (5) permanently deployed sensors v. manually repeated measurements with temporary sensors; (6) telemetric v. manual data retrieval. The mode of deployment has major implications for coverage, spatial and temporal resolution, and the cost of monitoring.
Remote sensing techniques using airborne and satellite-based sensors can provide a very cost-effective means of acquiring high-resolution information for the ground surface over very large areas (Hardy et al. 2012; Miller et al. 2012; Castagnetti et al. 2013; Cigna et al. 2015; Wasowski et al. 2014; Hugenholtz et al. 2015), but are generally limited in terms of temporal resolution (which is based on satellite orbits or flight schedules) and provide only surface or very near-surface information. For smaller infrastructure slopes (v. large landslides) spatial resolution may also be insufficient, and remote sensing techniques can also be impeded by the dense vegetation cover present on some infrastructure slopes (e.g. Miller et al. 2008).
Dynamic ground-based sensing systems, such as terrestrial LiDAR (Lato et al. 2009, 2012; Marjanovic et al. 2013; Fan et al. 2014), radar inferferometry (Springman et al. 2012; Caduff et al. 2014), ground penetrating radar (GPR; Donohue et al. 2011, 2013; Silvast et al. 2013) and capacitive resistivity imaging (CRI; Kuras et al. 2007) can obtain greater spatial and subsurface information, but are limited in terms of temporal resolution by the need for manual data collection, and therefore can be expensive when frequent (i.e. high temporal resolution) monitoring is required.
Point sensors can give very good resolution and accuracy, but are inherently limited in coverage (i.e. they measure only within the immediate vicinity of the sensor), but spatial imaging techniques, such as electrical resistivity, seismic methods and ground penetrating radar (Donohue et al. 2011; Loke et al. 2013) can complement point information and help with interpretation in ground or groundwater conditions that are heterogeneous. Wireless sensor networks (Gong et al. 2013) and fibre-optic approaches (Zhu et al. 2015) have been developed that can also provide information at increasing spatial scale. Permanently deployed point sensors coupled with low-power electronics and data telemetry can achieve very high temporal resolution and near-real-time information delivery (Smethurst et al. 2006; Chambers et al. 2014). Systems that operate remotely and automatically and interface with a wide range of permanently deployed sensor types are becoming increasingly well developed (Intrieri et al. 2012).
New instruments and innovation
New forms of instrumentation and the increasing ability of computing and the internet to distribute, manage and process large amounts of data provide exciting opportunities, as well as challenges, for slope monitoring. This section looks at a number of developing monitoring technologies, their maturity (whether they are at early phases of development, or becoming increasingly established; e.g. with numerous field trials) and the changes that they will or may provide in monitoring of infrastructure slopes for a wide range of purposes. It also considers potential effects that more sophisticated monitoring systems may have on management of data, decision making and communication.
New measurement technologies
A range of new monitoring technologies are being used or developed for monitoring of slope stability, and a number of these, with their abilities, limitations and maturity, are described in Table 3. It should be noted that Table 3 is not exhaustive, as turning to landslide monitoring gives other novel approaches, such as using extensometers running parallel to the slope surface (Wang et al. 2008). The constraints on space also mean that it is not possible to include all advantages or limitations, particularly those relating to very specific applications.
The novel forms of instrumentation in Table 3 seek to provide a range of improvements over conventional techniques, including the following.
Higher resolution data, both in time and space.
Lower costs, including the cost of both the instrumentation and installation, particularly the need to drill fewer or smaller boreholes, or, in the case of some remote sensing approaches, drill no holes at all. Cost can be a major driver in instrument and technique selection.
Automated monitoring: systems that collect and transmit data, and in some cases automatically process and compare it with thresholds to provide an alarm (e.g. of increasing displacements). Automated systems also reduce the need for manual measurements and the need to put personnel in potentially hazardous environments.
Greater lifespan for instrumentation. For example, localized shear surface displacements of about 50 – 100 mm can render inclinometer casings unusable; in contrast, shear surface displacements in excess of hundreds of millimetres have been recorded using shape acceleration array (SAA) systems (Buchli et al. 2013; Dasenbrock 2014) and active waveguide acoustic emission (AE) monitoring systems (Smith et al. 2014a).
Several of the techniques in Table 3 are reaching maturity, and are starting to be commonly adopted for geotechnical and structural monitoring (e.g. the shape array), whereas others are still in the earlier stages of development. Some are well-established monitoring techniques, but their use for infrastructure slopes has been limited (e.g. optical fibres), and they still require application-specific development, with careful trials before wider application to the transport network.
Several of the relatively new techniques are being actively developed by members of COST TU1202: the British Geological Survey has been developing ERT for earthworks moisture monitoring (e.g. Chambers et al. 2014; Gunn et al. 2015), and Loughborough University, UK, has been developing and is now starting to commercialize an acoustic system for monitoring slope displacement rates (called ALARMS; Dixon et al. 2014; Smith et al. 2014a, 2017). Both of these systems show considerable promise: ERT as a means of imaging moisture changes in earthworks, and ALARMS as a low-cost warning system for slope movement. Both have been installed in an embankment research facility at Nafferton, Northumberland, UK, to test their abilities against conventional instrumentation (Fig. 1; for further details, see Hughes et al. 2009; Glendinning et al. 2014); such facilities are valuable for testing new approaches in a controlled environment.
Table 3 identifies three techniques that have been little used so far for monitoring infrastructure slopes and that all show some promise, particularly as more pervasive approaches for condition monitoring of long lengths of asset at relatively low cost. These are the following.
Optical fibres used to measure surface strain in slopes (rather than in a borehole). As the monitored fibre can be long, the technique is potentially suited to monitoring significant lengths of asset. Fibres could be buried longitudinally, e.g. a short distance below the crest of a slope. The limitations and challenges are the relatively high cost of the equipment needed to read the strain in the fibre (although this is reducing in price), the need to correct for temperature effects, and the uncertainty as to how the fibre will deform in response to slope movements. Time domain reflectometery (TDR) does not measure strain, but can identify the location where distortion takes place within a coaxial cable, and thus may be able to perform a similar role, potentially at lower cost.
Remote sensing technologies such as LiDAR, and photogrammetry, using data from satellites, aerial vehicles or terrestrial systems. Both techniques are becoming common for terrain mapping and monitoring surface change for large landslides and rock slopes. The methods could be used to measure surface deformation of infrastructure slopes, but challenges include developing a suitable monitoring platform (rail or road vehicles, or an aerial approach), a system for handing large quantities of data (point cloud data from LiDAR; images for photogrammetry), and the resolution and accuracy of surface change detection including in the presence of vegetation.
Wireless sensor systems, with wirelessly networked probes such as tiltmeters and moisture content probes used across or along an asset. These are already being developed for slope monitoring applications, particularly to provide alarm of slope movements (Network Rail 2015). If a record of measurements is required for condition monitoring, transmission of large quantities of data has significant power demands, and there is still some uncertainty as to how surface or near-surface point measurements can be used to indicate deterioration or incipient failure of a slope.
All of the above require further investigation and then potentially development and testing for use with infrastructure slopes. In development of new approaches, collaboration between asset owners, instrumentation contractors and research institutions is important to ensure any new methods align to practical monitoring and asset management needs.
Datalogging and transmission
Not included explicitly in Table 3 are recent advances in datalogging and transmitting technologies, which may be summarized as follows.
Use of less power: commercial datalogging systems can operate with low power consumption, particularly to monitor instruments and store data, such that it is possible to run small dataloggers for many months or even years from a single small battery cell. Transmission of data wirelessly has a greater power need, and batteries then need charging systems such as fuel cells or photovoltaic panels, although approaches to careful use of power, such as turning on only once every hour to transmit data, can be adopted. Energy harvesting from vibration is also used, for which a number of commercial systems are available (e.g. Perpetuum 2016).
Ability to transmit greater quantities of data at speed: new third and fourth generations of mobile data technology mean it is now possible to send significant quantities of data via mobile phone networks. Local wireless data networks that transmit between adjacent monitoring nodes are also becoming commonplace, and are particularly helpful in geographically diverse systems.
On-site data processing: the reducing cost of computing power and bespoke circuitry mean that it is now possible to have systems that monitor and process data continuously. This has been critical for the development of some novel systems; for example, acoustic emission monitoring (Dixon et al. 2015) and monitoring by geophones and accelerometers.
All of the above allow systems that require less human intervention, in readings, downloading data and in maintenance (e.g. changing batteries). This is likely to reduce costs, and avoid the need to put people into remote and potentially hazardous environments.
The reducing cost of electronic in-place sensors and improved datalogging systems mean that it is now possible to both install more sensors and take and store many more readings from instruments than was possible in the past. This allows a much better granularity of spatial and time-based information; for example, readings every few minutes rather than days or even weeks apart can provide truer representations of physical processes, such as how water pressures may react to extreme short-duration rainfall events. This level of detail can be helpful in assessing risk, as well as in understanding the physical processes that take place. Such short-interval readings are essential to real-time alarm systems.
The disadvantage is more data to transmit, store and process. However, there are increasingly sophisticated commercial systems that collect and store data, process it into engineering units, and post it onto secure web portals where it can be viewed. Alarms can be set to alert key decision makers if certain pre-set trigger levels are exceeded. Standardized data formats such as the Association of Geotechnical and Geoenvironmental Specialists Monitoring Standard (AGS-M), which allow easier sharing of information, are becoming common (Richards et al. 2003). These are likely to become more important as assets are monitored over longer periods, giving flexibility in updating hardware and software and interoperability between proprietary systems. There have also been advances in commercialization of techniques for processing data, such as in software for photogrammetry applications.
Collection and monitoring of more information is part of a technological trend towards ‘big data’, which is becoming increasingly important across wide areas of the European economy. Data on engineered slopes may be generated during design, construction and operational phases (i.e. the whole life cycle of the asset); geotechnical monitoring information may be a part of this dataset. Many large highway and railway infrastructure owners increasingly store information on their assets within large databases, many of which are linked to geographical information systems (GIS). These are a digital representation of the physical and functional characteristics of assets, and act as a resource for sharing and visualizing information and knowledge. For example, the UK highway agencies have a system known as HAGDMS (Highways Agency Geotechnical Data Management System; Morin et al. 2014), in which information is associated with relevant assets in geographical space. These systems share many similarities with building information modelling (Eastman et al. 1974), although there are differences; for example, the linear nature of the infrastructure makes 2D rather than 3D representation of an asset more appealing.
Traditional monitoring approaches produce periodic reports, which might be attached to an asset within the GIS. The capability of current systems to hold large datasets is less certain, and may become challenging as the number of sensors and frequency of readings increase. However, GIS that distribute risk information on a fine spatial scale, often in real time (for example, linked to antecedent and forecast rainfall), are becoming more commonplace, and it is plausible that in the future this could include near real-time weather or asset monitoring data (e.g. local rainfall, or soil water content). A good example of this is the Norwegian national system XGEO (Fig. 2; www.xgeo.no).
Decision making and communication
Monitoring of data is commonly used to make a range of decisions about infrastructure slopes, including assessing risk of failure, and the need for interventions such as stabilization works. Where monitoring is already in place the asset will usually have already been identified as being at risk and there may be a requirement to make decisions (such as to reduce traffic speed or completely close a route) rapidly to maintain safe operations. Formal frameworks for these decisions vary according to operator (IPWEA 2006; Highways Agency 2010; CEDR 2011) and are usually linked directly to risk assessment frameworks (either generic or site specific; ERA-NET 2010). In some instances, exceedance of a particular threshold value(s) will result in automatic responses, which will then be validated by a responsible engineer. It is important that a control and decision-making framework carefully sets out the responsibilities of personnel that will be involved, and that decision makers have appropriate experience and confidence to ensure good judgements.
Setting or choosing appropriate thresholds against which to assess monitoring data can be difficult, as many infrastructure slopes are unique in construction history, geometry and geological conditions. Where the ground is actively moving, rates of displacement can be monitored, but it can nonetheless be difficult to decide the risk posed by an increased rate of movement. Predicting the transition from slow acceptable movement to rapid catastrophic movement is difficult. Sometimes it is necessary to monitor slopes over a period of time to assess movements in response to hydrological changes to understand how local thresholds may be set (e.g. Eberhardt et al. 2008; Reid et al. 2008); this observational approach is common in managing uncertainty in geotechnical engineering (Chapman et al. 2012). Thresholds levels can be set using a green–amber–red system of increasing risk with colour (e.g. the XGEO system in Fig. 2 uses this in context of national hazard mapping). Thresholds are often based on safety or performance criteria, such as the need to maintain railway track line and level.
Where monitoring systems play a critical safety role, reliability of the instrumentation and monitoring system is particularly important. False alarms can be a major issue, particularly if these result in rail and road traffic being halted unnecessarily, or are in remote sites that take an engineer a long time to reach. It is important that instrumentation systems are designed to be robust, and that may include incorporating redundancy, or providing other means by which alarms can be rapidly checked by experienced personnel such as providing video or images of the site accessed via the internet (e.g. Network Rail 2015).
In the context of engineered slopes, important decision makers will include the earthworks engineering or asset management team, who are typically responsible for the performance and safety of assets in a particular region of the transport network, and operations personnel involved with ensuring the smooth running of transport systems. Others potentially using monitoring information to make decisions include strategic transport planners within government who will make investment decisions for major upgrade programmes or for new routes, and the general public who will make decisions on journey planning when provided with appropriate information (e.g. enhanced risk of disruption owing to extreme weather).
Forecasting and communicating periods of enhanced risk
Risk is often assessed at the corridor or network scale, where there may be an increased risk of failure and thus disruption to operations during and after long periods of heavy rainfall, or prolonged very dry periods (which may cause shrinkage of clay earthworks). There are established methods for assessing geotechnical risk over lengths of corridor (Gavin et al. in review) and these can incorporate antecedent conditions and/or forecast weather, combined with geological and topographical information. The Norwegian XGEO system uses hydrological (soil water content) information to assess potential risk of landslips on 1 km grid squares at a national scale (Fig. 2; Devoli et al. 2015; Boje et al. 2014), and a demonstrator system is being developed for the UK London to South West rail routes called GeoSRM (Sadler et al. 2016) that determines earthworks risk based on geology, soil moisture conditions and forecast rainfall. More sophisticated systems could incorporate underlying slope failure models based on approximate soil properties and the geometry of the earthworks, although it could be challenging to predict failure within particular slopes as key data (geometry, geology, condition) and models of failure are often insufficient or too simplified (Glendinning et al. 2015; Elia et al. 2017). Nonetheless, such a system could be valuable if coupled with near-future weather data (e.g. impending storms) to assess the broader probability of slope failure causing disruption to transport operations. Local monitoring data could also be incorporated within a system to improve estimates of risk, although this may require processing of large amounts of data through multiple iterations of models, requiring significant computational resources.
XGEO is publically available in Norway, and is used to help communicate risk and thus the potential for travel disruption (from a range of hazards including geotechnical failure) to the general public. This information provision can be critical in helping the public to make informed decisions about how and when to travel.
The future; where do we go next?
Many European countries have mature road and rail systems, some of which are now old; for example, many rail earthworks have been used for 100 years or more. Despite their age, the demand for travel is growing in many European countries; for example, rail use in the UK has grown by more than 50% since 2000 (Powrie 2014) and is expected to double in the next 25 years. The public expectation for performance and reliability is also greater, and this poses challenges for linear infrastructure systems in which elemental failure can cause disruption to large lengths of route. Increasing safety is also expected of public infrastructure systems; in the UK during periods of adverse wet weather railway earthworks pose a greater safety risk to the travelling public and railway staff than the other infrastructure types (such as track, signalling and bridges) combined (Hutchinson 2015). Climate change may also affect asset performance. The main driver for slope failure is rainfall, and it is possible that a hotter future European climate will see rainfall arrive in more intense storm events. Drier summers may also pose difficulties for earthworks, causing cracking and shrinkage problems in clay soils (Clarke & Smethurst 2010). Both the public and transport operators want safe and disruption-free systems, and this is likely to be a driver for change to the way that assessment and monitoring of geotechnical assets is approached.
Monitoring of data is also needed to help understand and reduce failure in newly built infrastructure. New road and rail systems often operate at higher speed, and the hazard posed by running into slipped debris (causing derailment or crash) is greater. The lessons from understanding deterioration and failure in older systems is needed to help design, monitor and maintain new geotechnical assets.
This is also an exciting time for monitoring technologies. The emergence of the internet, increasingly powerful wireless transmission and data recording technologies, cheaper sensors, enhanced remote sensing technologies, the ability to process large amounts of data in real time, and greater commercialization of monitoring technology across domains are all making possible things not available to us even a few years ago. All of the above are feeding into new technology development in geotechnical monitoring; the above sections in this paper detail some novel approaches being developed by COST Action members, although there are also many others.
Specific slopes with known stability problems require careful monitoring using more conventional instrumentation (inclinometers, piezometers) to manage the risk that they present. However, generally the majority of earthworks will not be monitored, subject at best only to visual inspection by experienced personnel at frequencies between annual and 10 yearly. Some of these slopes do and will fail unexpectedly, causing disruption, at considerable cost to the economy. To try and monitor longer lengths of earthwork, operators are increasingly keen on more pervasive condition monitoring approaches (i.e. those that monitor surface displacement and soil water content, etc. over long lengths of asset at low cost), that may be able to highlight earthworks that are showing initial distress. Such systems could require little human intervention; remote sensing, wireless and internet technologies may all allow systems that are significantly automated.
There is also considerable potential to enhance the way that we view, manage and disseminate monitoring data using the internet; this paper has looked at two examples in the Norwegian XGEO and UK GeoSRM systems. Condition monitoring data could be used in the future to determine earthwork risk along significant lengths of route using physically based models; this has the potential to be updated in near-real time with, for example, forecast weather to show future probabilities for earthwork failure and thus disruption to transport operations.
Although such systems are very desirable, there are of course significant challenges to achieving these types of monitoring systems. These can be summarized in three points.
The assets: earthworks are difficult. They can be very variable in terms of geometry and material properties, there can be local ‘defects’, they are often covered with vegetation that can make assessment and condition monitoring difficult, and there are multiple modes of failure, some of which are complex and not well understood. Generally we need a much better understanding of the condition of these assets and the way in which they perform (or fail). This is also needed for the development of more pervasive monitoring approaches; for long lengths of asset what are the indicators of loss of performance? Instrumentation and monitoring data fundamentally underpin the models of physical asset behaviour, and risk, that are being explored further in other parts of the COST Action. The collection, storage, analysis and dissemination and sharing of more and better quality monitoring data can provide the information and models to properly understand modes of failure and deterioration, and the level at which to set thresholds for intervention. Any future automated system relying less on human input will be dependent on better models. The COST Action provides opportunities for closer collaboration and sharing of data between, for example, asset owners and research bodies.
The economics: new monitoring technologies and pervasive condition monitoring approaches offer promise, but there must be a good economic case for their use. Investment in more widespread use of monitoring needs to be based on savings to the economy from fewer failed earthworks and less disruption. It is doubtful that thus far the case is made in its entirety; the technologies and understanding of earthworks required to make these monitoring approaches work are incomplete, and asset owners often do not have the needed data on delay costs. This will change, as the technology and our expectations of ageing infrastructure systems also change. Regulatory bodies, government and public expectation will play a role in challenging operators to show continual improvement in safety and management systems. Many of the new instrumentation approaches described above have also been developed using national government and European Union grants, with financial and other support from road and rail asset owners. Continued strong investment in the development of technology for monitoring of earthworks, and a pro-active approach to seeking to prevent failure, will be critical.
Technological and human systems: the paper has described the developments in instrumentation for monitoring earthworks, with many systems providing enhancements in monitoring ability, reliability, longevity, cost, and the quality and quantity of data obtained. Several new techniques are very promising, but need further development for use in infrastructure slope monitoring. The ability to monitor more slopes at greater spatial and temporal resolution also requires handling, processing and analysis of significantly more data. This follows the economic trend for understanding systems using ‘big data’. Automated systems that analyse large quantities of data are desirable, although their application may have limits; it could still be best to have human judgement of the data in major decision-making processes (e.g. before stopping traffic). This introduces the need to have enough suitably trained people to understand and review situations and make good and consistent decisions, and, where appropriate, the use of standardized monitoring (avoiding having large numbers of highly bespoke systems) and centralized control. The human influence in decision making requires careful processes and clear risk, decision and response plans are an essential part of major monitored systems.
These are all significant challenges, and it will require time and investment to achieve enhanced monitoring of European transport systems. These challenges can be overcome more easily if we collaborate, and share ideas and data as European partners, something the COST Action has been trying to achieve.
This paper has explored the context and background to instrumentation and monitoring of infrastructure slopes in Europe. It has considered typical applications for monitoring, ranging from systems to warn of imminent failure, to monitoring for research to better understand the physical processes that take place in slopes.
A number of novel instrumentation approaches have been described; some of these are gaining widespread use, and others are at the research and development stage. New technologies and systems are providing enhancements in monitoring ability, reliability, longevity, cost, and the quality and quantity of data obtained.
There is considerable potential for the changing demands and expectations of infrastructure systems and new monitoring technologies to completely change the way that slopes are monitored in the future. It will probably be possible to monitor greater lengths of earthwork, with the intention of providing warning of and reducing incidences of unexpected failure (i.e. condition monitoring), rather than the fairly reactive monitoring approaches commonly seen today.
Several new techniques for monitoring longer lengths of slope are promising, but need application-specific development before use for infrastructure slope monitoring. These techniques include optical fibres, LiDAR and photogrammetry, and wireless sensor networks.
The ability to monitor more slopes at greater spatial and temporal resolution requires handling, processing and analysis of significantly more data. Automated systems that analyse large quantities of data are desirable, although human judgements in conjunction with careful decision-making frameworks will still be required.
Improved modelling of risk at the route scale, and improving database and internet systems may allow the possibility of hazard or risk maps that update continually with asset condition-monitoring data and current or forecast climate. Such systems could prove invaluable to transport operators, as well as in communicating risk to the travelling public. This paper has looked at examples of such systems in use and in development.
To allow more widespread monitoring and better communication of risk, improved models of slope performance and failure are required, as well as a better financial case. Parts of this are discussed in more detail in other papers from COST Action TU1202. Both will be underpinned by improved quality, collection, analysis and communication of monitoring data from infrastructure slopes.
Greater communication and sharing of data and ideas between European nations and continued investment in monitoring technologies by European transport operators and governments is required to aid the monitoring challenges elucidated above.
This paper is an output of Working Group 2 of EU COST Action TU1202 – Impacts of climate change on engineered slopes for infrastructure. TU1202 comprises four working groups: WG1 – Slope numerical modelling; WG2 – Field experimentation and monitoring; WG3 – Soil/vegetation/climate interactions; WG4 – Slope risk assessment. Outputs from each working group have been submitted to QJEGH and are intended to be read as a thematic set. The contributions of S. Uhlemann and J.E. Chambers are published with the permission of the Executive Director of the British Geological Survey, NERC.
The authors gratefully acknowledge the funding for COST Action TU1202 through the EU Horizon 2020 programme, without which this Working Group output would not have been possible. J. Smethurst was also supported by the UK Engineering and Physical Sciences Research Council grant number EP/K027050/1. A. Smith was supported by the UK Engineering and Physical Sciences Research Council via a PhD studentship, a Doctoral Prize Fellowship, and two grants, numbers EP/H007261/1 and EP/D035325.