Early Warning System For Disasters Pdf
Japan's Natural Disaster Early Warning Systems and International Cooperative Efforts Table of Contents Preface: Need to Improve Natural Disaster Early Warning.
Disaster Risk Reduction (DRR) Programme Multi-Hazard Early Warning Systems (MHEWS) Traditionally, many countries have been reactive to disasters experiencing significant losses in lives and livelihoods of their citizens. Adoption of the by 168 countries has led to a paradigm shift in disaster risk management from emergency response to a comprehensive approach which also includes preparedness and preventive strategies to reduce risk. Early Warning Systems (EWS) are well recognized as a critical life-saving tool for floods, droughts, storms, bushfires, and other hazards.
As shown in Figure 1, the recorded economic losses linked to extreme hydro-meteorological events have increased nearly 50 times over the past five decades, but the global loss of life has decreased significantly, by a factor of about 10, thus saving millions of lives over this period. This has been attributed to better monitoring and forecasting of hydro-meteorological hazards and more effective emergency preparedness. Experience has shown that effective EWS need four components. These four components need to be coordinated across many agencies at national to local levels for the system to work. Failure in one component or lack of coordination across them could lead to the failure of the whole system. The issuance of warnings is a national responsibility; thus, roles and responsibilities of various public and private sector stakeholders for implementation of EWS should be clarified and reflected in the national to local regulatory frameworks, planning, budgetary, coordination, and operational mechanisms. Expert Advisory Group on Multi-Hazard Early Warning Systems (EAG-MHEWS) The EAG-MHEWS been established by the WMO DRR Services Division to focus on documentation of good practices and the development of guidelines and training modules on Multi-Hazard Early Warning Systems (MHEWS). Building on the work already carried out, documentation of good practices on MHEWS WMO Guidelines on Disaster Risk Reduction (DRR) and Institutional Partnerships in MHEWS are under preparation.
Furthermore, WMO Guidelines on the operational aspects of MHEWS building on the principles of are to be implemented during the 2012-2015 inter-sessional period This Expert Advisory Group (EAG) is comprised of leading experts from the National Meteorological and Hydrological Services (NMHS), disaster risk management agencies, regional agencies, international and regional development agencies and the private sector. Good Practices and related guidance principles With a history of recurring disasters, a number of lower income countries such as Bangladesh and Cuba have already made dramatic strides in reducing mortality risk by developing effective early warning systems for tropical cyclones, storm surge and flooding. In Cuba, the government has made protection of lives their highest priority, investing significantly in the development of the Cuban Tropical Cyclone Early Warning System. In Bangladesh, following the tropical cyclones and storm surges in 1970 and 1991 that led to nearly 300 000 and 140 000 casualties respectively, the government together with the Red Crescent Societies of Bangladesh implemented a Cyclone Preparedness Programme, whose effectiveness was well demonstrated by the much reduced death toll of less than 3 500 during the November 2007 super cyclone Sidr. In France, following the devastating December 1999 winter storm Lothar, the public “Vigilance” warning system was developed as part of revised emergency planning and response mechanisms.
Later, this was upgraded to include heat/health warnings, following the intense heat wave in 2003 which led to over 15,000 deaths in France, and to include river flood risk warnings following a major flood in 2007. To capitalize on these national successes and facilitate sharing of experiences, an international effort coordinated by WMO documented good practices from early warning systems in Bangladesh, China’s Shanghai city, Cuba, France, Germany, Japan and the United States and developed guidelines on the necessary institutional arrangements. These cases have been published in a new book “Institutional Partnerships in Multi-Hazard Early Warning Systems” and will be used for training targeted at high-level officials from hydrometeorological and Disaster Risk Management (DRM) agencies and for strengthening capacities of NMHSs to support DRM and MHEWS through coordinated DRR and adaptation national/regional capacity development projects.
A detailed synthesis of the seven good practices revealed ten principles common to all, irrespective of the political, social, and institutional setting in each country. The ten principles are as follows:. There is a strong political recognition of the benefits of EWS reflected in harmonized national to local disaster risk management policies, planning, legislation and budgeting. Effective EWS are built upon four components: (i) hazard detection, monitoring and forecasting; (ii) analyzing risks and incorporation of risk information in emergency planning and warnings; (iii) disseminating timely and “authoritative” warnings; and (iv) community planning and preparedness. EWS stakeholders are identified and their roles and responsibilities and coordination mechanisms clearly defined and documented within national to local plans, legislation, directives, Memorandums of Understanding (MoUs), etc.
Early Warning System For Tsunami
EWS capacities are supported by adequate resources (e.g., human, financial, equipment, etc.) across national to local levels and the system is designed and for long-term sustainability. Hazard, exposure and vulnerability information are used to carry-out risk assessments at different levels, as critical input into emergency planning and development of warning messages. Warning messages are: (i) clear, consistent and include risk information; (ii) designed with consideration for linking threat levels to emergency preparedness and response actions (e.g., using colour, flags) and understood by authorities and the population; and (iii) issued from a single (or unified), recognized and “authoritative” source.
Warning dissemination mechanisms are able to reach the authorities, other EWS stake-holders and the population at risk in a timely and reliable fashion. Emergency response plans are developed with consideration for hazard/risk levels, characteristics of the exposed communities. Training on hazard/risk/emergency preparedness awareness integrated in various formal and informal educational programmes with regular drills to ensure operational readiness. Effective feedback and improvement mechanisms are in place at all levels of EWS to provide systematic evaluation and ensure system improvement over time. This MHEWS initiative supports development and strengthening of early warning systems with systematic DRR projects currently underway in South East Europe, Caribbean, Central America and Southeast Asia. National and Regional Assessments related to MHEWS WMO DRR Services Division has conducted a number of assessments of WMO Members to document national capacities gaps and needs to contribute to all aspects of disaster risk reduction including risk assessment, risk reduction including sectoral planning, early warning systems and education and knowledge sharing. Three major assessments related to MHEWS include:.
A comprehensive assessment of the institutional and technical capacities, gaps and needs of the Caribbean region to support MHEWS and risk assessment was conducted by the WMO in 2010-2011. The objective was to facilitate capacity development in a systematic way by leveraging existing capacities project and development in the region. The outcomes of this assessment are presented in the report “Strengthening of Risk Assessment and Multi-hazard Early Warning Systems for Meteorological, Hydrological and Climate Hazards in the Caribbean: final report”.
As part of South East Europe Project, an assessment of the capacities, identify gaps and needs in disaster risk reduction and EWS, particularly with respect to the provision of information and services for meteorological, hydrological and climate-related hazards in South East Europe. The assessment involved a systematic analysis of the DRR institutional framework in the Instrument for Pre-Accession Assistance (IPA beneficiaries, and the role of the NMHSs in this framework. The study also considered the core capacities of NMHSs, as well as the operational cooperation between NMHSs and other technical agencies and centres at the national, regional and international levels. For more details please go to the South East Europe webpage.
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The easiest way to get the article on your site is to embed the code below. Box 1: Technologies for monitoring and warning Forecasting and modelling technology Several countries have early warning systems based on seasonal-to-interannual climate forecasts. 2 These systems are based on using monitoring data, including temperature and rainfall values, and state-of-the art climate models. Climatologists analyse the observations and model-based predictions to predict climate anomalies one or two seasons ahead. Remote sensing and geographic information systems (GIS) applications Remote sensing and GIS applications have significantly advanced famine early warning systems.
The Regional Centre for Mapping of Resources for Development (RCMRD) has been using -based regional systems for to supplement national initiatives in eastern African countries. RCMRD predicts harvests half way through the to give advance warning on food security before the end of the season. In addition, flood monitoring is now regularly informed by remote sensing that obtains information on soil types, water resources, settlements, cropped areas and forests. Satellite communication technology Improvements in satellite communication have helped decrease the lag time between data collection and warning. For example, the Pacific Tsunami Warning System works by a recorder on the seabed relaying data on anomalies to a buoy on the surface.
This data is then transmitted via satellite to ground stations every 15 seconds. Mobile phone technology With the global spread of mobile phones and networks, this technology is now increasingly used to communicate warnings and coordinate preparation activities — particularly SMS alerts for disseminating mass messages. For example, upon detection of p-waves that precede earthquake shaking, Japanese agencies send out SMS alerts to all registered mobile phones in the country. However, some obstacles can arise with this technology — phone pylons can be damaged or networks can be overburdened during hazards, for example.
Figure 1: Key events in the development of early warning systems (click for full image) But early warning systems do not exist in every part of the world. A quarter of the countries assessed in the 2011 Global Assessment Report for Disaster Risk Reduction reported that communities did not receive any timely warnings for impending hazards. 4 And while some early warning systems are better than others, existing ones are still in need of improvement. Discussions on how to improve effectiveness can be informed by critical analyses to determine what early warning can realistically achieve, and what is outside its limitations (Box 2). Box 2: What can we expect of early warning systems?
Early warning can save lives Several countries have significantly reduced deaths by developing effective early warning systems. Cuba's Tropical Cyclone Early Warning System is credited with reducing deaths dramatically for weather related hazards such as tropical cyclones, storm surges and related flooding: five successive flooding events left only seven dead. 5 Another example is Bangladesh, which now has a 48-hour early warning system in place that allows people to evacuate to safe shelters hours before cyclones make landfall, reducing deaths. In 1970, 300,000 died as a result of Cyclone Bhola, compared to 3,000 in 2007 during Cyclone Sidr, which authorities were able to track as it grew in strength.but cannot prevent all damage While a certain amount can be done at the local level to protect lives and livelihoods once a warning has been received, there is little that can be done to protect infrastructure in a sudden disaster —financial losses from destruction of buildings and interruption of services still occur.
However, in slower onset disasters that can be pre-empted days or months in advance, early warning systems can provide enough time for risk reduction measures to be put in place, such as retrofitting buildings and constructing barriers. Early warning can help in many types of hazard Warning systems are in place and have proved beneficial for a variety of hazards. In the case of tsunamis, the benefit of an internationally coordinated system was shown in the 2011 earthquake and tsunami in Tohoku, Japan, which threatened many Pacific islands: warnings were more coordinated than in the devastating Indian Ocean Tsunami in 2004, providing time for many people to evacuate to high ground.
Having an impact is more difficult for systems set up to warn of hazards that have complex causes, such as drought. However, some countries have developed systems capable of integrating information from various sources and providing warnings of the imminent onset of drought. And early warning systems for food security have developed significantly over the past few years. The UN Food and Agriculture Organization's Global Information and Early Warning System on Food and Agriculture (GIEWS) is the most globally complete food security monitoring system.but is limited when it comes to geological hazards The signs of an impending volcanic eruption or a landslide can sometimes be detected at an early stage and used for warnings. Regional monitoring systems have been installed in most earthquake-prone regions, and multinational initiatives exist (the GEOFON network of the research institute GeoForschungsZentrum Potsdam, for example). However, picking up earthquake precursors is difficult, and routine predictions remain elusive: the location, magnitude and time of occurrence of earthquakes cannot be forecasted. Yet even a lead time of a few seconds can make a difference, and some countries are working with the limited information available.
In Mexico City, for example, technical systems can identify the first seismic wave following the start of an earthquake that may have happened more than 100 kilometres away — allowing authorities to use this information to shut down critical systems such as gas supply lines. The gap between warning and heeding However, improving the effectiveness of early warning systems does not, in itself, lead to reduced risk for disaster-prone communities — early warning does little good unless it is followed by (early) action. Warnings are still not effectively communicated, and not sufficiently acted upon, even as agencies in developed and developing countries are now more aware of the nature, frequency, locations and intensity of various hazard types, and have advanced technical capabilities for monitoring such as climate models and remote sensing.
3, 4 A good example is one of the most devastating disasters in history, the 2004 Indian Ocean Tsunami. The Pacific Tsunami Warning Centre in Hawaii picked up the earthquake.
But despite the phone calls made by the centre to government agencies in countries such as Indonesia and Thailand, the emergency infrastructure was missing and so the warning was not disseminated to local communities. Warnings of the 2004 Indian Ocean tsunami were not disseminated to local communities due to a lack of emergency infrastructure. Flickr/ simminch So what accounts for the gap between early warning and response?
Identifying the factors that contribute can help countries and the international community to find ways to address them. Understanding uncertainties The uncertainty inherent in scientific information is one of the reasons for failing to act on disaster warnings. Information from forecasts is often in a language and format that is not easily understood by humanitarian workers or the local communities that need it. Scientific jargon relating to uncertainty regularly causes users not to act. Statements such as 'there is a 20 per cent chance that rainfall will be above the interannual mean' present information in an unfamiliar language. However, uncertainty does not have to be a reason for inaction.
Two-way exchanges of information can mitigate misunderstanding and help scientists and users of scientific information to appreciate each other's 'language', their respective objectives, and how they might best work together to prepare for a disaster (Box 3). Box 3: The need to understand uncertainty In 2011 the Humanitarian Futures Programme conducted research on the use of climate science in informing livelihood decision making in the context of seasonal flood and drought conditions in Kenya. 8 It found that although the Kenyan Meteorological Department had been generating useful and relevant information for crop and livestock producers, it was not in a form that they could understand.
Questionnaires also indicated that the community had a high level of mistrust towards the agency, largely because it had previously produced predictions that did not materialise. A lack of understanding of the uncertainty of estimations led people to interpret the predictions as wrong, and to believe that estimations could no longer be trusted.
Prioritising risks Another reason for inaction is that the warnings tend not to reflect an understanding of the decisions people then need to make in response. In developing countries, this means getting a handle on the well-established link between disasters and poverty.
For example, a farmer may stay looking after their cattle rather than evacuate because they judge the risk of flood to be lower than the risk of losing their livelihood. Communicators of early warnings can work more effectively by taking into account how people behave in that crucial period after they receive a warning — particularly how they prioritise different risks. Assessing behaviour after disasters can help to clarify who does and does not heed warnings, and why. Reducing false alarms As early warning systems grow in geographical coverage and sophistication, false alarms are rising too. While some believe that they provide invaluable practice, high false alarm rates can undermine public confidence, breed mistrust, dilute the impact of alerts and reduce the credibility of future warnings. In 2007, a local tsunami alarm was raised mistakenly in Aceh, Indonesia, causing mass panic and injury as residents fled. Anger led residents to later disable the tsunami warning system, causing unnecessary vulnerabilities and long-term risk.
And this year, an earthquake measuring 8.7 on the Richter Scale, which hit off the coast of Indonesia, led to the activation of the Pacific Tsunami Early Warning System; but there were no significant tsunamis, and the likelihood of a tsunami was judged to be low based on the characteristics of the earthquake. One approach to reducing false alarms is to use reliable local hazard indicators, such as animal behaviour or vegetation changes, to verify scientific indicators of upcoming hazards. Another approach is to work with the media to avoid inaccurate, exaggerated or misleading information about potential events. Radio, television, SMS and email are used to communicate warnings but there is insufficient follow up on what works. Flickr/ Internewseurope Monitoring communication tools Innovative ICTs are being developed and rolled out, playing an important role in disseminating information to organisations in charge of responding to warnings and to the public during a disaster. But their capacity to make an impact is limited by the lack of systematic and consistent monitoring.
Web services, SMS and email, as well as more established technologies such as radio and television, have all been used to communicate warnings. But these tools are created and deployed in various locations and under different circumstances, with insufficient follow up on what does and does not work.
For example, television is not always effective in the most at-risk communities due to mistrust. If follow-up does take place, it often fails to monitor effectiveness over both the short and long term, or may raise questions over reliability if undertaken by the organisation that has implemented it. Coordinating response Finally, insufficient coordination and collaboration between organisations can hold back efforts to encourage early action because the organisations that produce warnings are not those that disseminate them.
For example, in the case of hurricanes, the World Meteorological Organization collects atmospheric data which are then transmitted to the US National Hurricane Centre, which generates forecasts and hurricane advice. This advice is then transmitted via the Global Telecommunication System, fax and the Internet to national meteorological and hydrological services in countries at risk, where national forecasters use them to produce specific hurricane warnings.
These are then dispatched tolocal newspapers, radio and television stations, emergency services and other users. But communication mechanisms between organisations as well as agencies within countries are limited. And there are institutions with overlapping mandates; for example, both the local agricultural agency and the climate change department may view it as their responsibility to communicate a flood warning to communities, and separate warnings can cause confusion. Hazards do not abide by the territorial boundaries of countries or districts. And as hazard exposure areas expand due to climate change, the sharing of information is set to become more important.
Better communication channels and linked policies that create one authoritative voice can help to address this. Serving communities A changing climate means changing needs for developing countries and their capacity to respond to disasters. Shifting rainfall patterns and hurricane paths, and more days of extreme temperature, will bring new hazards to areas that previously may not have experienced them. 9 In addition, settlements and services are expanding into at-risk locations as urbanisation intensifies along the coasts, increasing exposure to hazards (Figure 2). Figure 2: Large coastal cities set to see a rise in population in line with rapid urbanisation (click for full image) Early warning systems — and the technologies and tools that support them — will work best if they are embedded in, understandable by and relevant to the communities they serve. 10 This will have particular value where communities cannot rely on the government to respond effectively.
And there is a need for local knowledge and practices to be integrated with those of the science community, to improve forecasts and increase acceptance, ownership and sustainability of early warning systems. The UNISDR's Hyogo Framework for Action emphasises the importance of encouraging the use of traditional knowledge. The idea is that local practice and scientific practice can complement — not replace — each other, because each has its own advantages and restrictions. In the Solomon Islands, for example, integration has occurred with the communication of early warnings on Tikopia Island, where only a few residents received a Radio Australia transmission warning (scientific method) of the coming cyclone in December 2002. The local communication system (indigenous method) then took over with local runners taking the message out to other community members in the local language. 11, 12 But there is no simple way to improve early warning systems.
Their impact will be maximised only when all necessary steps are taken to enhance the effectiveness of technological tools and scientific forecasts that governments and communities rely on, providing more time for appropriate action. Lucy Pearson is research coordinator at the Humanitarian Futures Programme, King's College London, and programme coordinator at the Asian Disaster Preparedness Center in Thailand. Lucy can be contacted at This article is part of a on. References 1 (UNISDR, 2009) 2 Ogallo, L., et al. BAMS 57, 93–102 (2008) 3 (Report, UNISDR, 2006) 4. (Report, UNISDR, 2011) 5 Rogers, D.
549kB (Paper for UNISDR, 2011) 6 Kettlewell, J. (BBC, 2008) 7 HFP Futures Group (Humanitarian Futures Programme, 2011) 8 (Humanitarian Futures Programme, 2011) 9 (IPCC, 2011) 10 727kB ( International Federation of Red Cross and Red Crescent Societies, 2008) 11 Victoria, L. Combining Indigenous and Scientific Knowledge in the Dagupan City Flood Warning System in (UNISDR, 2008) 12 McAdoo, B.
Indigenous Knowledge Saved Lives during 2007 Solomon Islands Tsunami in (UNISDR, 2008).