Flood Forecasting and Warning – a retrospective

Chris Haggett has worked in the UK water industry for over 40 years, including with the Greater London Council (Department of Public Health Engineering), Thames Water (Rivers Division), National Rivers Authority, Environment Agency and RAB Consultants. He has experience in hydrology, flood forecasting and warning, emergency management, and benefits and business change management. Chris has worked as Flood Forecasting and Warning Development Manager within the Environment Agency’s National Flood Warning Centre, and has experience in managing many major flood incidents, including Easter 1998, Autumn 2000 and Summer 2007 floods, at both a regional and national level. Chris has also worked as a Flood Warning Manager and was responsible for delivering the day-to-day flood forecasting and warning service for the Thames catchment. Chris looks back at four decades of development in flood forecasting and warning.

I started work as a graduate hydrometric assistant working for the Greater London Council (GLC), Rivers Division in 1975. My first job was assisting with the aftermath of the Hampstead Storm when 170.8mm of rain fell in just 155 minutes on 14 August 1975 (Keers and Wescott, 1976). One man died in the storm, four of London’s main-line railway stations were flooded and closed, a large part of the London Underground was brought to a standstill as tunnels were inundated and the electricity supply failed (figure 1). Within 5 minutes of the start of the storm over a hundred homes were flooded to more than a metre. And yet just 6km or so away from the storm centre, there was almost no rain at all.

This storm highlighted a number of fundamental issues including summer storms in urban areas can be destructive and life threatening; they are difficult to detect, even with a dense network of recording rain-gauges; they are challenging to forecast and almost impossible to warn against due to very short lead times.

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In 1977, another severe storm affected north-west London when a maximum of 113mm of rain fell in a 9-hour period at Ruislip, Middlesex (below). No deaths were reported but some 1,100 houses, 20 factories, 20 shops, several schools and churches, many roads and several railways were flooded to depths of up to 1.5m (Haggett, 1980). Although a rudimentary flood warning scheme was in place at the time, a Government inquiry highlighted that the system was not effective in giving any warning to the police or the public (Prickett, 1978).

The Prickett Report made several important recommendations to improve flood forecasting and warning for fast responding urban floods:

  • Flood detection and forecasting: information from detection gauges needs to be captured by a central processing unit with facilities for automatic interrogation and the issue of alerts to duty staff; the prospects for measuring and forecasting the location, duration and intensity of summer storms sufficiently for warning purposes could be improved with the aid of weather radar.
  • Flood warning dissemination: the most feasible method for alerting householders is for messages to be conveyed to nominated persons or flood wardens who would undertake to inform their neighbours; to be effective in the short time available, some river alarms might need to go direct to occupants or via flood wardens. Local audible warnings may be the only possibility in some situations.
  • Emergency management and public awareness: the operational arrangements should be clearly documented including objectives, equipment, communications, staffing, duties and duty rosters; occupants of property in flood susceptible areas should be regularly reminded of the warning arrangements and action which can be taken to minimise damage including flood proofing methods and other forms of self-help.
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Flooding from the River Brent, Ealing, London, August 1977

It is interesting to see how these recommendations have been acted upon and what improvements have been made to flood forecasting and warning in urban areas in the 40 years since these devastating storms in London in the 1970s.

Advances in Flood Detection, Forecasting and Warning in the 1980s and 1990s

Flood Detection. Following the storms and floods of the 1970s and early 1980s, there was a great emphasis placed on developing an integrated flood detection, forecasting and warning system for fluvial rivers draining Greater London. The resultant CASCADE system (a Catchment Assessment System Concerned with the Accurate Dissemination of Effective flood warnings) included a large element of automation, was simple to operate, reliable and accessible to users 24 hours a day. The design and operation of this system was carefully planned as the nature of catchments involved meant that there is often very little time for the issue of a warning before the onset of flooding.

Figure3

2km radar image of the “Lewisham Storm” of 10 June 1997

Initially, CASCADE incorporated data from a network of telemetered rain and river level gauges and from the London Weather Radar at Chenies. To facilitate the detection of localised urban storms 2km radar data displays were created which updated every 5 minutes (above). At the time, the Met Office did not routinely disseminate 2km radar data to users.

In the 1980s and 1990s disparate telemetry systems were in operation and progress was made to link, integrate and extend these systems, allowing operational access to any individual outstation via regional computer systems. At the same time, comprehensive alarm handling software was developed to alert duty staff of a developing situation based either on pre-defined rainfall intensities or river levels. Telemetry data displays allowed duty staff to rapidly assimilate near real-time information and this facilitated operational decision making (below).

Figure 4

Hyetogram/Hydrograph of the “Edgware Flood” of 22 September 1992

Although weather radar provided an unparalleled source of information on rainfall variations over urban areas, the accuracy of the rainfall estimates was on occasions poor and it was clear that improved calibration was needed. In the late 1980s an operational calibration technique was developed which made use of data from the London Weather Radar and a network of telemetered rain gauges to provide more accurate estimates of spatial rainfall. It was demonstrated that this technique provided a 22% improvement in accuracy relative to that obtained by radar data without calibration (Moore, et al., 1989a).

Flood Forecasting. Despite the importance placed on developing effective flood detection systems, it was soon recognised that to improve warning lead times further, more emphasis would be needed on introducing operational forecasting methods (Haggett et al., 1993 & 1995). This involves the prediction of rainfall, river levels and river flows to forecast the time of occurrence and duration of a flood. Methods of achieving this varied in technical complexity from rudimentary correlation techniques to sophisticated mathematical models capable of predicting rainfall, in-bank flows and flood plain inundation. For fast responding urban catchments development work focussed on applying rainfall forecasting and rainfall/runoff forecasting techniques.

In the 1990s, three approaches to quantitative rainfall forecasting were evaluated operationally:

  • FRONTIERS/NIMROD – making use of data generated by the Met Office giving rainfall forecasts out to 6 hours ahead on a 5km grid, updated every 15 minutes (Golding, 1994);
  • Local Radar Rainfall Forecasting – regional based systems providing forecasts up to 2 hours ahead on a 2km grid, updated every 15 minutes;
  • Convective Storm Forecasting (GANDOLF) – a system for generating automated nowcasts of convective precipitation (Collier, et al., 1994a).

Although FRONTIERS rainfall forecasts were very useful for flood forecasting, the technique did not fully meet the specific operational requirements needed for fast responding catchments. This prompted the development of a local rainfall forecasting system producing higher resolution forecasts. It was found that the local forecasting procedure achieved a superior performance to FRONTIERS up to 2 hours ahead (Moore et al., 1992). However, beyond lead times of two hours the utility of the local system, which is based on a single radar, is reduced as the radar field is advected beyond the area of interest (below).

Figure 5

Local Radar Rainfall Forecast Sequence for 14.00 to 16.00 GMT on 30 September 1993

As May (1994) demonstrated, both FRONTIERS and the Local Forecasting Technique had difficulties in forecasting in convective situations under certain circumstances. Where there is rapid storm development and erratic motion, for instance, both procedures failed to produce credible predictions. As the Hampstead Storm demonstrates, serious flooding incidents can be generated from convective storms which develop rapidly and become stationary over a location for a period. This prompted development work by the Met Office on the GANDOLF system based on an object-oriented convective precipitation model designed to exploit the predictive capabilities of a conceptual model of convective cell evolution (Pierce, et al., 2000).

In the 1990s much work was devoted to developing, calibrating and implementing rainfall-runoff models which made use of data from rain gauge networks, weather radar and short-period rainfall forecasting models. Studies were commissioned to assess the different rainfall/runoff model types, real-time updating methods and the effects of data time interval and spatial resolution. A study in the Thames catchment (Moore, 1993), showed that the Local Radar Rainfall forecasting scheme applied to locally calibrated radar data provided the best performance overall especially in small catchments. It illustrated that the simpler rainfall/runoff models had difficulty producing credible forecasts in catchments with complex responses.

Following studies of this type, decisions were made to use the more complex conceptual models for forecasting and to integrate them with operational detection and forecasting systems such as CASCADE. This led to the development of automated flood forecasting systems which ran every 15 minutes with new data and auto selection of the appropriate rainfall forecast or combination of rainfall forecasts for given circumstances.

Flood Warning. Despite the progressive improvement of detection and forecasting capability in the 1980s and 90s, flood warning failures continued. As Parker (1987) observed, this was often due to weaknesses in the dissemination phase of the process upon which the efficacy of the entire forecasting and warning system rests.

In England and Wales, the traditional method of disseminating flood warnings via the police and local authorities was becoming strained due mainly to resource constraints and the lack of clarity on mandatory responsibilities for warning dissemination. Consequently, a number of initiatives were instigated to improve the effectiveness of this important part of the flood warning process: automation of warning dissemination to the agencies; identification of areas of flood risk and better targeting of warnings; the use of flood wardens; the use of the media.

Figure 55

Flood Warning Dissemination System for the Colne Catchment (1994)

An example of warning automation can be afforded in the Thames Region where the fluvial Thames and each of its tributaries were divided into operational flood warning reaches. By nominating a specific reach or group of reaches, the duty officer was able to trigger the automatic creation and issue of warning notices to relevant agencies via telex and fax. This computer-controlled facility radically reduced the amount of time needed to generate warning messages to the emergency services, local authorities and utility agencies (above), (Haggett, 1995).

To improve the targeting of flood warning messages within each of the flood warning reaches, records stretching back to 1965 were collated and attributed to each reach. Information including property details, frequency of flooding and the level of flood risk was supplied to each police force and local authority in the Thames Catchment. It was hoped that armed with this information, the agencies would be able to target their resources more effectively during flooding incidents.

Several flood warden schemes were established in fast responding river catchments in and around Greater London where traditional dissemination methods failed to respond in sufficient time to be effective. In the early 1980s the GLC introduced the “watchdog” scheme at 22 high-risk locations where river level warning devices were installed which automatically alerted local authorities and residents when pre-defined levels were exceeded. Recipients of an alert monitored river levels locally and warned their neighbours of impending flooding. The scheme had mixed success with technological problems causing large numbers of false alarms to be generated in the early stages. In areas where the number of subsequent flooding incidents was low, the level of public interest soon waned and in some localities the scheme was withdrawn due to lack of support. Nevertheless, the scheme did signal a turning point, for the first time an attempt was being made to address the issue of flood warning dissemination for fast responding rivers in London by installing systems that would alert the public directly (Haggett, 1997).

There was also a conscious effort to involve the media in flood warning dissemination. Notices were passed to local radio stations for immediate broadcast during times of flood which identified the areas at risk. Advice and situation updates were given throughout an event via live and recorded interviews on radio and television and through the press. It was recognised at the time that the media would feature more extensively in flood warning dissemination in future years.

Research undertaken by Middlesex University in the 1980s and 90s showed that the passing of warning messages to the police and local authorities was very effective. However, these warnings often failed to reach the at-risk public in time for action to be taken to reduce flood losses. The research recommended that improvements should be made to the effectiveness of warning dissemination and that a multi-route approach should be developed involving a range of techniques that should work in parallel to ensure that the warning message reaches its intended target. (Hyde, 1992), (Fordham and Haggett, 1994).

Advances in Flood Detection, Forecasting and Warning from 2000

Flood Detection. Major UK floods over the last two decades have motivated significant technological and scientific advances in operational flood forecasting and warning.

The telemetered networks of river and rain gauges have been extended and integrated further, within and across government agencies. Access to data from such networks in near real time has been made publicly available for the first time.

The Environment Agency, for example, has extended its river level monitoring service to cover 36,000 kilometres of rivers in England. In addition, the Agency has approximately 1,000 real time rain gauges which are connected by telemetry and the data from some gauges is combined with data from the Met Office’s network to operationally calibrate rainfall radar data to improve accuracy.

Data from river level and rain gauge networks are published openly on the internet as it has the potential for a wide range of uses externally such as flood forecasting, farming, and recreation; flood forecasts are also being trialled online.

The weather radar network now consists of 15 operational radars across the UK providing real-time information to help monitor and forecast heavy rainfall (figure 8). In 2016, the Met Office and the Environment Agency launched the network renewal project which will provide major investment and improvements in new weather radar systems. The latest technology will be used to increase radar capability, such as dual polarisation which will improve quality control and rainfall rate accuracy. This investment will extend the operational life of the network by a further 15-20 years.

New technologies are being adopted more widely that allow incident staff to see what’s happening on the ground and to respond faster and better when floods threaten. This includes the use of mobile technology and mapping systems to facilitate the capture and sharing of real-time data.

Flood Forecasting. One of the major changes in flood forecasting during this period was the establishment in 2009 of the national Flood Forecasting Centre (FFC), a partnership between the Environment Agency and the Met Office. The FFC, for the first time, brought together the experts who predict the weather with those who forecast floods. This has led to the production of a daily, national Flood Guidance Statement (FGS) to the emergency response community.

The FGS is based on a Flood Risk Matrix approach that is a function of potential impact severity and likelihood. It has driven an increased demand for robust, accurate and timely forecast and alert information on fluvial and surface water flooding along with impact assessments. The Grid-to-Grid (G2G) distributed hydrological model has been employed across England, Scotland and Wales at a 1km resolution to support the FGS.

At a more local level, there was a move to bring together regional systems into a single national system to improve forecasting consistency across the country. The National Flood Forecasting System (NFFS) provided a single software shell capable of using a standard set of models that improved forecast quality and allowed extension of the service.

Flood Warning. Floodline Warnings Direct (FWD) was deployed in 2006 to replace and enhance legacy warning systems. There was a requirement to deliver a single, consolidated and robust national solution for warning and informing the public of flooding. Using the latest technology, warnings were targeted more effectively increasing the number of people receiving appropriate and timely warnings (Haggett, 2015).

FWD is the first integrated multi-media warning system deployed in the UK and it can now warn 1.2m people of risk of flooding at the touch of a button. The number of communication channels has steadily increased as social media grows and in December 2013 Twitter was used for the first time to send a severe flood warning.

Conclusions

Over the last 40 years there have been huge strides taken to develop the various elements of the flood forecasting and warning process. Improved flood detection using telemetry, weather radar and computer technology; enhanced forecasting using operational flow prediction models and quantitative rainfall forecasting techniques; more effective warning dissemination using computer technology to target warnings directly to the public; and timely, efficient and coordinated response by the relevant agencies. However, it is important to remember that flood forecasting and warning systems work on the principle of reducing flood losses through effective action by those at risk prior to a flood. To do this effectively all elements of the process must operate smoothly and in an integrated way to have any significant impact on flood losses. To deliver accurate, reliable and timely flood warnings the total warning system must operate efficiently.

Technology has played and is continuing to play an important role in integrating the total warning system, but there is a need to ensure that the service does not become technology driven. Other factors need to be considered which influence the performance and integration of flood warning systems, such as coordinated institutional arrangements, the flow of information and knowledge between organisations and communities, and human interaction and expertise.

References

Collier, C.G, Walsh, P.D. and Haggett, C.M. (1994a). The use of radar-based rainfall forecasts in operational flood warning. In: Merriman, P.A. and Browitt, C.W.A. (eds) Natural Disasters: Protecting Vulnerable Communities, Thomas Telford, London, 210-224.

Fordham, M. H. and Haggett, C. M. (1994). Flood forecasting, warning and response systems: the problem of warning dissemination. Workshop on Integrated Radar Estimates of Rainfall in Real-time Flood Forecasting. 25-26 July 1994, Monselice, Italy.

Golding, B.W. (1994). NIMROD and its relevance to the NRA. Internal Report. Restricted circulation.

Haggett, C.M. (1980). Severe storm in the London area – 16/17 August 1977. Weather. 35: 2-11

Haggett, C.M., May, B.C. and Crees, M. A. (1993). Advances in Operational Flood Forecasting in London. Proceedings of the Second International Symposium on Hydrological Applications of Weather Radar. Hannover, 7-10 September 1992.

Haggett, C.M., (1995). Operational fluvial flood forecasting and warning in the Thames Catchment. BHS Occasional Paper No.5. British Hydrological Society.

Haggett, C.M. (1997). Aims and objectives of flood warnings from the perspective of the flood forecaster, in Handmer, J.W. Flood Warnings: Issues and Practice in Total System Design. London: Middlesex University, Flood Hazard Research Centre.

Haggett C.M. (1998). An integrated approach to flood forecasting and warning in England and Wales. Journal of the Chartered Institution of Water and Environmental Management. 12: 425–432.

Haggett, C.M. (2015). Advances in Flood Warning Dissemination and the Challenges for Flood Forecasting. Real Time Flood Forecasting – Developments and Opportunities. Institution of Civil Engineers.

Hyde, V. M. (1992). The flood warning systems and flood-events of two catchments within the Eastern Area of the NRA. Thames Region. London: Middlesex University, Flood Hazard Research Centre,

Keers, J.F. and Wescott, P. (1976). The Hampstead Storm – 14 August 1975. Weather. 31: 2-16.

May, B.N. (1994). Integration of radar-based forecasting methods into CASCADE flood forecasting and warning system. COST-75 Seminar 1994, Brussels.

Moore, R.J., Watson, B.C., Jones, D.A., Black, K.B., Haggett, C.M., Crees, M.A., Richards, C.I. (1989a). Towards an improved system for weather radar calibration and rainfall forecasting using rain gauge data from a regional telemetry network. New directions for surface water modelling, IAHS Publication No. 181. International Association of Hydrological Sciences, pp13-21.

Moore, R.J., Austin, R.M., Jones, D.A. and Black, K.B. (1992). London Weather Radar Local Rainfall Forecasting Study: Final Report. Contract Report to the National Rivers Authority, Thames Region, Institute of Hydrology, September 1991, 124.

Moore, R.J., Austin, R.M., Carrington, D.S. (1993). Evaluation of FRONTIERS and Local Radar Rainfall Forecasts for use in Flood Forecasting Models: Final Report. Contract Report to the National Rivers Authority, R&D Note 225.

Parker, D. J. (1987). ‘Flood warning dissemination: the British experience’, in Handmer, J. (ed) Flood Hazard Management: British and International Perspective. Geobooks, p 169-190

Parker, D.J. and Haggett, C., 2001. The development of flood warning technologies in England and Wales, Paper presented at the International Emergency and Disaster Management Conference (TIEMS), Oslo, Norway, June.

Pierce, C.E., Hardaker, P.J., Collier, C.J. and Haggett, C.M. (2000). GANDOLF: a system for generating automated nowcasts for convective precipitation. Royal Met. Soc., Meteorological Applications, 7: 341-360.

Prickett, C.N. (1978). Departmental investigation into flood warning arrangements in north-west London. Ministry of Agriculture, Fisheries and Food.

 

 

 

 

In search of practical solutions and partnerships for Disaster Risk Reduction in Developing Nations

Michael Clark is a Resilience Consultant at RAB and recently contributed to the United Nations Office for Disaster Risk Reduction (UNISDR) regional platform for Africa and the Arab states held in Tunis. He reports on the search for solutions to disaster risk reduction.

While the welcome was warm and hospitable from our Tunisian hosts, the conference was set against the backdrop of tragic events in the country in late September. Heavy rain and flash flooding had killed 5 people in the Cap Bon Peninsula, destroying homes, property and livelihoods in its midst. Sadly, these scenes were repeated shortly after the UNISDR platform, with further flash floods killing 5 people in Bizerte and Nabeul during mid-October.

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Search and Rescue team members try to pull a bus in the flood water caused by heavy rainfall in the Bu Salim district of Jendouba City of Tunisia. Source: Floodlist

The floods in Tunisia are a stark reminder of the potential catastrophic impact of natural hazards such as flooding, coupled with the onset of climate change. It is mitigating the impact of tragic events such as these that motivates our work to enhance flood resilience around the world.

It is no surprise that flooding is listed as the most significant natural hazard across both African and Arab nations. It causes billions of dollars in economic losses, claiming the lives of thousands of people across the regions every year.

Last year I reported from both Ghana and Nigeria on the work that is being done to reduce disaster risk and enhance flood resilience. The impressive new flood early warning system used by NADMO in Ghana and the investment in flood resilience across states Nigeria from NGOs, supported at the federal level by NEMA, both serve to highlight the positive steps that are being taken.

One of the great benefits to come out of the UNISDR platform was exploring the role of the private sector in supporting these efforts as partners. Taking part in a round table discussion with representatives from the disaster management community, NGOs and private organisations, there was acknowledgement of the great work the private sector does post disaster, in response and recovery. It was evident from our discussion that there is also an appetite for the private sector to support disaster risk reduction efforts alongside existing actors.

Of course, that is far easier said than done, particularly when the concept of disaster risk reduction can seem complex and somewhat vague. Perhaps the best way to explain DRR is through this equation – yes, algebra is useful in the real world! While there are other iterations, the version below illustrates the point in terminology we now and use regularly.

Equation

In the equation above, the hazard is fixed, there’s not a great deal we can to prevent natural hazards occurring altogether, most of the time. However, there are still things we can do if we want to make our disaster risk smaller. We can alter our level of vulnerability and our level of preparedness as these are not fixed. By reducing our vulnerability or by increasing our level of preparedness, we can reduce our overall level of disaster risk. This is the first step in helping us understand what DRR is – it’s about continually reducing our vulnerability and increasing our level of preparedness. As the private sector, we can take a significant role in that.

To take this a step further, the UNISDR frequently talk about ‘disaster risk reduction for resilience’ . Which is simply another way of saying that we become more resilient by continually reducing our vulnerability and improving our preparedness – but you all knew that already. When we put these terms into language we all use on a day to day basis, the whole concept seems far less alien and we start to see how the field opens up to a more diverse range of actors.

To reduce vulnerability, we consider planning policy, development regulation and land use – where we build, how we build and what we build with – all spheres of great interest to private enterprise. To increase our preparedness, we plan for emergencies, train our communities, up-skill professional responders to implement these plans and exercise to validate it’s all going to work properly when it’s supposed to. As a topical example, using our technical knowledge to improve capability in flood forecasting and developing early warning systems all serve to enhance our level of preparedness and therefore our resilience.

When we understand DRR in this way, it serves to further enforce the value of the platform, as it was a great opportunity to highlight the work that we do in flood forecasting and early warning, training and exercising. There is clearly a desire amongst DRR practitioners at national and regional level as well as among NGOs, to engage with the private sector and utilise the skills that exist. As is often the case for sustainable development initiatives, funding is a challenge. Not so much its lack of existence, but more it’s visibility and eligibility criteria.

UNISDR

The Africa-Arab Platform on Disaster Risk Reduction themed “Towards Disaster Risk Informed and inclusive sustainable development” 09 to 13 October 2018, Tunis, Tunisia.

Success might look like the third sector and private enterprise partnering to deliver more sustainable projects, sharing knowledge, sharing intelligence and partnering to deliver more effective projects. The presence of private enterprise can enhance the supply of specialist technical support and the role of both international and local delivery NGOs goes a long way to ensuring sustainability. If we are willing to look to new and innovative partnerships, then the prospects for securing new means of funding become greater and the number of beneficiaries of DRR in the developing world grow ever wider.

 

Developing multi-hazard early warnings across Europe

ANYWHERE (enhANcing emergencY management and response to extreme WeatHER and climate Events) is a H2020 innovation programme developing tools to support decision makers in real-time coordination of emergency management operations. Started in 2016, the programme seeks to capitalise on advances in observation systems and in forecasting models in anticipation of natural hazards such as flash floods, landslides, droughts and heat waves.

Flooding in Catalunya

Mataro near Barcelona, affected by flooding in 2016. Source: La Vanguardia

The programme includes 31 organisations from a mixture of experts from the hydrometeorological forecasting community, research scientists, early warning system developers and responders. Those from the Civil Protection Authorities are providing a valuable role in shaping the end-user product requirements of the Multi-Hazard Early Warning Systems (MH-EWS).

The recent 6th programme meeting was hosted by the Fire and Rescue Department of North Corsica: Sevice d’Incendie et de Secours de Haute-Corse (SIS2B). SIS2B have a specific role in providing emergency response to victims of accidents, incidents and have a specific interest in the developing tools to aid operational response to forest fires and are now supporting the development of a MH-EWS for the region.

With the programme set to complete in 2019, the new platforms are currently being trialled. Under the working name of ‘A4’, various regional and local pilot demos are being developed for multi hazards. The pan-European A4EU utilises ECMWF and EFAS products such as the Flash Flood Index and the Extreme Forecast Index. More regionally applied applications include modelling snow load impacts on electricity supply in Finland, modelling traffic disruption due to severe weather in Catalonia and providing early warnings to Schools due to flooding in Genoa.

One application is A4CAMPSITE which is specifically targeted at increasing self protection in campsites located in flood prone areas in Catalonia. There is a high risk of flooding for many hundreds of campsites in the region and there are several legal restrictions being based on the flood plain including ensuring all campsites have adequate flood risk plans.

The EWS is using radar rainfall nowcasting product linked to warning triggers within a self contained warning system.  These are linked to flood plans, with configurable actions (such as evacuation plans) and linked to SMS alerts for the campers.  A4CAMPSITE is being supported by new ANYWHERE partners developing innovative hydrometeorological applications and is being implemented on 13 campsites along the Tordera river with a full trial over the late-summer rainy season.

Serious Gaming for Flood Resilience

Robyn Shaw, an MSc Sustainability and Water Security research student, reflects on work to develop a serious game to help improve community flood resilience.

I am currently at the University of Dundee and as part of my course I had the pleasure to embark in a research in practice placement supporting the development of practical solutions for flood resilience.  The aim of my placement was: To develop a concept of a multi-participatory game based on reality for flood response and community flood resilience in Scotland which was fun to play.

Cascde event (picture by Cascade_net)

Civil Agency, Society and Climate ADaptation to Weather Extremes (CASCADE-NET) workshop at the University of Dundee. Source: CASCADE-NET

Serious games are interactive and fun educational tools which allow players to learn from experience in a safe environment. The niche of the game I was focussing on was learning and understanding the different channels of communication during a flood. My placement involved desk-based research, setting up and attending meetings with key individuals, for example a gaming expert, running workshops and shaping the concept of the game into a prototype.

Two workshops were held, one with flood experts with representatives from SEPA, Scottish Flood Forum and a Local Authority, and another with university research students. The concept of the serious game was played, and constructive feedback was received in a discussion to assist the development. This was analysed and eight key areas arose: name, aim, audience, timing, players, graphics, education and ethics. Alterations were made and the serious game, now known as FORECAsT, became a prototype and was successfully ran at a CASCADE-NET Emergency Response seminar.

The FORECAsT game was run to support a CASCADE-NET seminar on Civil Society and Emergency Response: conflicting discourses of dependency and empowerment, with over 40 attendees from multiple disciplines including the Scottish Government, academics, local councils, and flood experts. This was an amazing opportunity for myself and the game as it promoted integration of serious gaming as an educational tool into wider society. The attendees were grouped into a number of roles all involved in receiving flood forecasting information. The players had to decide who and how to respond and communicate with other players using post-it notes, and news headlines and social media messages.

Overall, there was a very positive response and it stimulated a lot of discussion around the topic ‘reducing dependency and enhancing empowerment’ which was the main question the game supported in the seminar. The player’s feedback highlighted that they really began to understand the different channels of communication from the perspectives of each role during flood response. They were challenged, educated and had fun acting out a real life situation but in a safe environment. This opportunity has given the game FORECAsT a great prospect, ready for the next stages of development.

Throughout the course of my placement I was given several unique opportunities and a vast amount of valuable experience which I highly appreciated. I was fortunate to have worked collaboratively with those trying to develop the game FORECAsT and I believe it definitely has the potential to be established into a functional game in the future. Overall, it was an exciting new project to work on and I learnt the importance of support from other colleagues and the main factor- to enjoy your job!

 

Nepal Floods 2017: ‘We had the forecasts but not the system to link them with our preparedness and response’

Madhab Uprety, Disaster Risk Reduction consultant, and Sumit Dugar, Research Associate at Practical Action Consulting South Asia, reflect on efforts to improve disaster preparedness in Nepal.

Southern flood plains of Nepal have always experienced a varied degree of flooding during the monsoon.  Whilst humanitarian responders and district level agencies have always relied on a general level of preparedness based on average levels of risks leading to periodic preparedness interventions across these flood prone districts.

Rautahat-flood-1

Portion of the Lal Bakaiya dam that was swept away by a flood in Rautahat during August 2017. Source: The Himalayan Times.

So far most of the major river basins are equipped with early warning systems and there are existing protocols and mechanisms to communicate early warnings and plan for emergencies. Yet we seemed hardly prepared for the recent Terai floods that claimed hundreds of lives and rendered tens of thousands of people homeless.

The scale and extent of flooding was huge as incessant rainfall for two days and across the Churiya range unleashed floods across entire southern belt inundating 26 Terai districts.

Nepal-SDugar1

Picture credit: Discussion between community members during flood response exercise, by Sumit Dugar.

But the rainfall event was not off the radar of prediction and was indeed forecast several days in advance. The events were captured 10 and 3 days in advance by the global flood and weather forecast models. Though the flood alerts were issued by the Department of Hydrology and Meteorology (DHM) 24-hours in advance, disaster managers hardly move beyond their customary response approaches of rescue and relief.

Existing early warning systems in major river basins were instrumental in saving assets, lives and properties, but warnings and actions merely based on the real-time situation of rivers and rainfall were not adequate enough to cater every contingency, particularly in case of flash floods from small monsoon (intermittent) streams.

There is dire need of paradigm shift towards forecast-based emergency preparedness. Unfortunately, there is not any mechanism that links scientific forecasts within the existing humanitarian landscape.  And also it is largely unclear among the humanitarian actors and government stakeholders about what levels of forecast probabilities and magnitude are worthy to react.

Globally there has been a recent increased shift towards anticipatory preparedness and early actions based upon weather forecasts under the remit of Forecast-based Financing (FbF), a niche concept which envisions humanitarian agencies and government stakeholders making use of credible scientific information to anticipate possible impacts and mobilise resources automatically before a hazard event.

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Picture credit: Community member using hand siren during flood response exercise, by Sumit Dugar.

Practical Action together with support from the World Food Program have been advocating this approach in Nepal and the idea has already been put-forth across national Disaster Risk Reduction (DRR) platforms for discussion. FbF is currently being piloted in six flood prone districts of West Nepal and there is an intention to upscale these initiatives across entire southern flood plains of Nepal. Forecast thresholds and triggers have been identified and Standard Operating Procedures (SoPs) that includes science informed anticipatory actions have been developed and integrated in the local disaster preparedness plans.

However, regular communication of the forecasts and their effective interpretation among the end users constrains FbF implementation. The aftermath of recent floods in August 2017 have certainly increased relevance of FbF in disaster preparedness and response, and the pressing question now is whether the recent floods will act as a wake-up call and we start making forecasts part of our readiness or simply plan response and recovery in a normative business as usual manner.

Improving Community Flood Resilience in Areas Remaining at Risk

Dan Matthews is a Senior Resilience Consultant, with experience in flood incident management and planning.  Dan reports on FRM2017 and work on improving community flood resilience.

“Would you like to speak at the SNIFFER Flood Risk Management conference in Edinburgh?”

I’ve learnt to see some of these ‘development opportunities’ approaching, but on this occasion opted to grab it with both hands. I’m glad that I did! SNIFFER bring people and ideas together as ‘knowledge brokers for a resilient Scotland’ and their annual Flood Risk Management Conference in Edinburgh has promoted learning, sharing best practice and shaping next steps throughout the sector. With the 2017 event titled ‘Managing Flood Risk in the Context of Change’ it was a chance to share some of my recent work on improving community flood resilience.

Brian Mills

Temporary flood barriers protecting communities along the River Severn. Source: Panoramio

I’ve been working closely with a team at the Environment Agency to develop a national capability to provide support to communities throughout England using temporary flood barriers. Whilst this has involved significant financial investment in equipment, it also requires significant time investment to develop the plans, procedures and importantly the people to deliver the capability.

I have been fortunate to be involved in many elements of this work, from developing deployment plans for specific communities, through to embedding new ways of working with incident response staff. It was challenging to get the critical parts of this operational for the winter of 2016, but also amazing what can be achieved when people are motivated by new and innovative ideas.

In January 2017, this was called into action as over 8000 metres of temporary flood barriers and 25 high volume pumps were deployed in advance of significant flood risk on the East coast of England. One deployment stretched for over a mile, reducing the risk of flooding for residents at Ferriby on the River Humber in Yorkshire.

Russ 2007

Testing temporary defence deployment plans with the Environment Agency.

I found it really interesting to reflect upon this and share some of what I’ve learnt with those at the conference. The Cabinet Secretary for Environment, Climate Change and Land Reform’s keynote speech provided some great context. Climate change is expected to potentially double flood risk in some areas of Scotland before the end of the century. Surely there is a role for this kind of capability, perhaps on a local authority scale, in Scotland?

The 2007 Floods: ten years of thinking big and acting early

Russell Burton is an expert in flood risk and incident management, Managing Director of RAB Consultants and a former flood warning team leader in the Environment Agency.  Russell looks back at changes in flood resilience since the 2007 floods.

I read John Curtin’s blog Flood risk management 10 years on – a journey of high and low tech improvements with great interest this week and found the list of improvements and the progress made impressive, especially against a backdrop of economic uncertainty and austerity.

abbey

Tewkesbury is situated in Gloucestershire and was one of the worst affected parts of the county when the floods hit in July 2007. Source: Panoramio

It also got me thinking back to my own experiences and how the changes are not only in the tech we use but also in the way we think and respond to floods. Like John, I have my own story of what I was doing on the day of the 2007 storm. In July 2007, RAB was one year old, so it was a time of optimism and hard work for me to get the company off the ground. On that day in July I had a meeting with Environment Agency Wales (remember them!) in Cardiff, to start planning a flood exercise of all things. I planned to drive from Lichfield to Cardiff via the M50 with RAB’s first ever employee as a passenger. To be fair the Met office issued severe weather warnings for the west midlands up to 2 or 3 days ahead of the storm but it would only be on the homeward journey for us and who was to say it would be that bad and in that location anyway? I blush at the thought of my gung-ho attitude but I think I reflect the mindset of the times, “Think maybe, act if we have to”.

So off we set and had a great meeting, but by the time we were heading home reports were already coming in of flooding and travel disruption. Nevertheless we made pretty good progress on the M50 till we were approaching the junction with the M5 at Stroud. By now the downpour was a monsoon, the motorway came to a standstill and gradually the road became a river as torrents of water flowed off the fields. The hard shoulder and lane one were impassable but after a two hour delay we were able to crawl past in the “fast lane”.

Motorway 2007

Strensham Services on the M5, July 20th 2007. Source: flickr

To be fair I wasn’t the only one “thinking maybe and acting if we have to”, at some point I probably passed the lorry full of flood barriers bound for Upton upon Severn but stuck on the other carriageway of the flooded M5.

So what’s changed? Personally, I take Severe Weather Warnings very seriously now and adjust my travel arrangements to suit. But 2007 was also a watershed in mindset for flood risk managers in the UK. For the Environment Agency, it was the birth of the mantra “Think Big, Act Early”. This simple phrase has stood up to challenge (Think big, Act Appropriately was one watered down suggestion I recall) and I believe it’s helped drive the high and low tech improvements listed by John. It’s made us ask questions like, how big, how shall we act and when is early enough? The Flood Forecasting Centre  quantify the scale and timing of the impacts through the Flood Guidance Statement, which now gives flood managers up to 5 days notice to decide how and when to act early. The new extended flood outlook offers a 30 day window for flood risk managers to prepare and plan the response. The 2013-14 floods (amongst others!) highlighted that Thinking Big didn’t always result in Act Early. There was a need to plan what early actions could be done with this extra lead time for unprotected communities, and so came Temporary Defence Deployment Plans and Major Incident Plans to set out the strategic and tactical actions flood managers have at their disposal. Although these are just a couple of examples, the other improvements in John’s list are also driven by the need to “Think Big, Act Early”.

BBC map

July 2007 floods at-a-glance. Source: BBC

So in summary, the high and low tech improvements that have been made over the last 10 years are all fantastic but for me the biggest change is in our mindset, to “Think Big, Act Early”. To bring this into sharp contrast, this week the Met Office predicted that Britain is heading for “unprecedented” winter rainfall after their new super computer predicted records will be broken by up to 30 per cent. Time to “Think Big, Act early”.