Case Study Of Tsunami In Indian Ocean


The 2004 December 26 Indian Ocean tsunami severely hit Sri Lanka. Although it was not in the direct path of the initial tsunami waves, the western coast was struck by diffracted waves that caused much damage. The numerical model GEOWAVE is used to compute tsunami generation, propagation and inundation from the earthquake source to the Sri Lankan coast. A nested grid system is constructed to increase the resolution until Galle Bay, on the southwestern coast, where a 20 m-grid is used. The six nested topobathymetric grids are interpolated from ETOPO2 and high resolution data, at sea as onshore. Simulation results are compared with tsunami height data from National Oceanic and Atmospheric Administration (NOAA; US) and Geological Survey & Mines Bureau (GSMB; Sri Lanka). When the grid resolution increases, the discrepancy between the model and the data remains, on average, good, whereas its spread increases. We then conclude that the order of magnitude of the tsunami height is consistent from the 180 m-resolution grid, but the spatial imprecision is too high to locally predict reliable water heights. Nevertheless, the comparison between computed time-series of sea surface elevation at the Colombo tide station and tide-gauge data shows a very good agreement as both amplitude, and arrival time of the first wave are well reproduced. When focusing onshore, the modelled inundation limit is compared with the limit measured in the field. With its a priori setup, computed inundation spreads much farther behind the field limit. We then integrate more accurate nearshore conditions into the model. Non-linear shallow water equations are chosen instead of fully non-linear Boussinesq equations; the bottom friction on land is increased to a much higher value than at sea; the buildings cover and the low tide conditions are taken into account in the DEM. The resulting high resolution simulation agrees better with field data, even if discrepancies are still locally observed in places of DEM imprecision and in a river valley. This simulation, however, demonstrates that taking into account nearshore and onshore features may significantly improve tsunami impact assessment.

Tsunamis, Indian Ocean

1 Introduction

The 2004 December 26 Sumatra—Andaman earthquake was one of the most disastrous recorded earthquakes, due, in part, to its large magnitude, Mw between 9.1 and 9.3 (Ammon et al. 2005; Park et al. 2005; Stein & Okal 2005). The earthquake generated a tsunami, which propagated through the Indian Ocean and caused extreme inundation and destruction along the surroundings coasts (Chanson 2005). The resulting death toll is estimated to be between 200 000 and 300 000. The most devastated country was Indonesia, as it lies near the subduction zone where the earthquake occurred, but the tsunami also severely struck Sri Lanka, where more than 30 000 people were killed (Liu et al. 2005; Goff et al. 2006; Inoue et al. 2007). The tsunami hit the island because it was on the main propagation axis, and then diffracted around it, so that the southwestern zone was as greatly damaged as the eastern zone.

Since 2005, numerous studies have attempted to model the tsunami propagation: some focused on the seismic source to discriminate between inverted slip distributions (Pietrzak et al. 2007) or to directly invert the slip distribution (Grilli et al. 2007; Piatanesi & Lorito 2007; Sladen & Hébert 2008); others attempted to model the tsunami impact on local targets like Thailand or the Mascarene Islands (Ioualalen et al. 2007; Hébert et al. 2007); and one study examined the propagation of the tsunami over the entire world and the spatial transport of energy in all oceans (Kowalik et al. 2007).

The potential influence of nearshore propagation effects on local tsunami height at the shoreline and onshore is well known. Most tsunami models, however, only operate on rough bathymetric data (Dao & Tkalich 2007; Geist et al. 2007; Ioualalen et al. 2007). The difficulty is to obtain high resolution data and to handle the whole extent of tsunami propagation, for example, with an irregular mesh or a nested system (Pietrzak et al. 2007; Hébert et al. 2007). Without such accurate data, numerical modelling may only compute tsunami amplitude at sea and cannot appraise the tsunami impact on the coasts (Geist et al. 2007).

In this study, we extend the global model of Grilli et al. (2007), with focus on the impact on southwestern Sri Lanka. We built a simulation chain to increase the resolution of the tsunami calculation in this area. Along the process, computed tsunami heights on Sri Lanka shore are compared with several sets of observations. The last step of the simulation chain is a focus on the Bay of Galle. There, model results are compared with field data of inundation limits. At this stage, we run several calculations with different options and parameters in order to refine the model so that it agrees, as well as possible, with the data.

2 Numerical Modelling

2.1 Tsunami model

In this study, we used the tsunami generation, propagation and inundation model GEOWAVE (Watts et al. 2003). The initial tsunami (surface water deformation and velocity) is computed from the vertical displacements of seafloor produced by an elastic dislocation simulating the earthquake (Okada 1985). Then, propagation and inundation of tsunami waves are computed with FUNWAVE, a model based on fully non-linear Boussinesq equations, accounting for frequency dispersion (Wei et al. 1995). The methodology of GEOWAVE is described in Grilli et al. (2007).

2.2 Nesting system

The aim is to compute tsunami waves until they reach the Sri Lankan coast. In a first stage, the most important thing is to describe the tsunami wavelength well, which is related to the source characteristics. For an earthquake-generated tsunami, the wavelength generally reaches a few hundred kilometres if the concerned fault is long. For the 2004 Sumatra earthquake, the wavelength is estimated, from the first wave measured by the Jason-1 satellite altimeter, as around 500–600 km (Gower 2005). The spatial resolution of the computational grid must be chosen according to this wavelength. In our case, a grid resolution of a few kilometres is enough to model tsunami propagation across the deep part of the Indian Ocean. However, when the tsunami comes near the coast, its wavelength decreases due to the decreasing depth, so that the resolution of the computational grid must increase. As GEOWAVE can solve tsunami propagation only on a regular square grid, we had to implement a system of nested grids. Considering the layout of the affected zone, a one-way nested scheme appears to be appropriate. Such systems are commonly used in tsunami modelling with non-linear shallow water equations (Koshimura & Mofjeld 2001; Titov et al. 2005), but this approach was not previously applied to Boussinesq-type models. In such a one-way nested grid scheme, wave propagation is first computed on the entire domain of the coarse grid. Information (velocity and water height) are extracted from the coarse grid simulation at the boundaries of the included fine grid and then used for the calculation on the fine grid. Information are not returned to the coarse grid from the fine one. Indeed, in the case of the December 2004 tsunami, the waves propagate in one preferential direction, they enter the Sri Lanka region and then exit without coming back again. The trapped waves are fully computed in the finer grids. It appears that some waves are reflected by the Maldives and then come back towards Sri Lanka, but the simulation shows that they have a negligible amplitude compared with direct and trapped waves (see Fig. 3). In practice, a first complete run is performed on grid of δx0-uniform spacing, during which water height and velocities are recorded at the limits of a second domain included within the first. Then, these conditions are interpolated on the limits of second domain, according to the chosen nested grid resolution δx1 < δx0 and used to compute through a new run more accurate tsunami propagation on this finer grid.

Figure 3.

Shaded relief map of sea surface height 4 hr after the earthquake (S0). White arrows indicate the first wave reflected from Sri Lanka, whereas black ones mark the wave reflected from the Maldives.

Figure 3.

Shaded relief map of sea surface height 4 hr after the earthquake (S0). White arrows indicate the first wave reflected from Sri Lanka, whereas black ones mark the wave reflected from the Maldives.

In our simulations, we chose to use a nested ratio of 3, so that δx1 = δx0/3. As we intend to reach a local scale around the Bay of Galle in Sri Lanka, the nesting process is iterated as needed. The resolution of all grids composing the nesting system are reported in Table 1. The first three simulations comprise the whole of Sri Lanka (Fig. 1). The last three are centred on the southwestern part of the island and then on the Bay of Galle.

Figure 1.

Location of the six nested grids used in our simulation chain (coordinates are in Mercator projection).

Figure 1.

Location of the six nested grids used in our simulation chain (coordinates are in Mercator projection).

2.3 Source parameters

The source parameters are taken from Grilli et al. (2007), who adjusted a five-segment fault model to satellite track records and some tide gauge data around the most devastasted part of the Indian Ocean coasts. We also use the same time sequence spanning 1200 s, which could be debated as it largely exceeds measured rupture duration (Ammon et al. 2005; Ni et al. 2005; Park et al. 2005). Grilli et al. (2007) defend their choice by referring to rising time effects, low shear-wave speed in the accretionary prism and since other tsunami modelling also assumed reduced rupture speed (e.g. Fujii & Satake 2007).

2.4 Outputs

The output of each calculation consists of time-series of gridded sea surface elevation (SSE), maximum SSE on the domain (zmax) and, eventually, time-series of SSE at selected points taken as numerical gauges. The time-series results are important as they help to constrain the arrival time of the tsunami at the shore, and they also enable tsunami period estimation.

3 Data Used In This Study

3.1 Bathymetric and topographic data

Bathymetric grids are derived from several data sets of various resolutions.

The first grid S0 is derived from the ETOPO2 data set (U.S. Department of Commerce & Atmospheric Administration 2006). ETOPO2 is made from several data sources, mainly, satellite altimetry and has a 2′× 2′ spatial resolution.

A loose data set of sounding points on the complete Sri Lanka margin was provided by the DEOCOM project (Delimitation of the Outer Edge of the Continental Margin of Sri Lanka under the UNCLOS; Fig. 2). Nearshore detailed bathymetric profiles were provided by the Coastal Conservation Department (CCD), but only a few kilometres along north of Galle. Around Galle Bay and Weligama Bay, fine resolution data were provided by the National Hydrographic Office (NHO) of Sri Lanka (Garcin et al. 2007). These data have been checked and corrected before computing topobathymetric grids at various resolutions up to 20 m (Garcin et al. 2007, 2008).

Topography is needed to model inundation and tsunami reflection when the tsunami hits the coast. It, thus, mainly plays a role in high-resolution simulations, that is S4 and S5. We used a fine topographical data set on a 3–4-km wide coastal strip, where the main part is below 10 m elevation. A 20 m specific DEM was interpolated from the Survey Department of Sri Lanka data (elevation points and contour lines) and covers the coastal strip from Beruwala to Weligama Bay (thus covering the extent of S4 extent; Garcin et al. 2007). Another DEM made by the United Nations University (UNU) from a 1 : 5000 map digitizing and kinematic GPS data covers the Galle urban area with a 5 m resolution. Both these DEMs helped to build S4 and S5 topographical grids through subsampling. Elsewhere, SRTM elevation data with a 3″× 3″ resolution are used but have almost no influence on the tsunami calculation. Because of their limited extent, fine topographical data are integrated only in S3 and subsequent grids.

We use the Mercator projection to build a nesting system of six rectangular uniform grids from topobathymetric data with spatial resolutions from 4860 to 20 m (Table 1).

3.2 Tsunami observation data: tsunami height and inundation

As in the NOAA data set, what we call here ‘tsunami height’ may refer to the maximum elevation reached by the water either at sea (in case of tide gauges) or onshore (when talking about run-up).

Tsunami height data sets from several sources were used in this study. We first retrieved NOAA data (, which is well spatially distributed data for the entire global domain of calculation. NOAA data for Sri Lanka are used to particularly check S0 to S2 simulations. When focusing on southern Sri Lanka (S2 and S3), we use GSMB data collected in the field a few days after the tsunami disaster (2004 December 30; Siriwardana et al. 2005).

Hari Srinivas
Case Study Series E-023. June 2015

At 0058 GMT on 26 December 2004, a massive earthquake of magnitude 9.0 struck the coastal area off northern Sumatra in Indonesia. A number of after shocks also occurred, some of magnitude 7.1. These earthquakes triggered tsunamis that affected Indonesia and neighbouring countries in Asia (including India, Malaysia, Maldives, Sri Lanka, and Thailand) and the east coasts of Africa (including Somalia and Yemen), causing serious damage to the coastal areas and small islands.

While the final death toll will never be known, an estimated 250,000 persons have perished in the tsunami, majority of them women and children. Millions more have been displaced or rendered homeless . The damage from the tsunami was particularly severe as an increasingly percentage of the population, and many key cities and towns, lie within 50 km of the ocean edge.

The international response mounted to provide rescue and relief to the affected communities was unprecedented in its volume and scale, with national institutions, UN and international organizations, community groups and NGOs, and a variety of other entities coming together to provide different kinds of aid and services.

With the initial focus of the international relief and recovery efforts being on humanitarian aspects of the disasters, attention is now slowly shifting to longer-term rehabilitation and reconstruction, where environmental issues are coming to the fore. Recovery of environmental assets, such as water, land, forests and agricultural and fisheries areas, and eco systems such as mangroves and coral reefs, will require a concerted and integrated approach that will not only improve these assets, but will make them better prepared for future disasters.


1. Observations from the Affected Countries
2. Indonesia
3. Thailand
4. Sri Lanka
5. Maldives
6. Implications and Recommendations for Future Disasters

1.0 Observations from the Affected Countries

A number of observations on the impact of the tsunami on the environment were recorded in the affected countries. These related to both natural as well as man-made aspects of the environment.

Solid waste and disaster debris remain the most critical environmental problem faced by the countries. The sheer magnitude of the disaster meant that the volume and nature of the disaster debris was far beyond the coping capacities of the cities and towns that were affected. Disposing these wastes in an environmentally appropriate manner, and recycling the waste where possible (for example, crushing of concrete and brick to produce aggregate for road and building construction) have been identified as critical priorities .

Combined with the issue of waste is that of hazardous materials and toxic substances that have been inadvertently mixed up with ordinary debris. These include asbestos, oil fuel, and other industrial raw materials and chemicals. Rapid clean-up of affected areas has also resulted in inappropriate disposal methods, including air burning and open dumping, leading to secondary impacts on the environment.

Contamination of soil and water was the second key environmental impact of the tsunami. Salination of water bodies such as rivers, wells, inland lakes, and groundwater aquifers has occurred in many of the affected countries. This has also affected the soil fertility of agricultural lands, due to salination and debris contamination, which will affect yields in the medium and long term. Some water bodies have been contamination by damaged or destroyed septic tanks and toilets, with sewage infiltrating the water supply system.

UNEP reports extensive damage to environmental infrastructure, buildings and industrial sites. These include water and sanitation systems, solid waste disposal sites and waste treatment centers, particularly in urban areas (Maldives, Sri Lanka and Indonesia). Oil storage facilities have released oil and wastes into the environment, which have not been handled properly during the initial clean-up (Maldives and Indonesia).

But a number of good environmental practices, which mitigated the damage due to the tsunami, have also been observed. The 'first line of defense' afforded by healthy well-maintained coral reefs, mangroves, sand dunes and other coastal ecosystems such as peat swamps, provided protection from the tsunami, as evidenced by the damage assessments in Sri Lanka's Yala and Bundala National Parks .

A rapid assessment of the environmental impact of the tsunami conducted by the Stockholm Environment Institute showed a similar pattern - sand dunes, mangrove forests and coral reefs helped reduce the energy of tsunami waves in Sri Lanka by acting as natural barriers.

Besides impacts on the environment, the tsunami also demonstrated the need for strengthening the capacities of environmental agencies at the national and local levels to handle disasters and emergencies and their environmental consequences. Besides loosing staff members, and facilities and equipment to the tsunami, the added responsibilities of relief and recovery planning and assessment highlighted the need for comprehensive capacity building in areas such as strategic environmental assessment, integrated environmental management, coastal zone planning etc.

At the local level, the lack of vulnerability and hazard mapping resources, and baseline demographic and other data, compounded the problem of carrying out comprehensive environmental impact assessments. This will clearly also affect the installation of community-based early warning systems and long-term disaster management and mitigation plans, as the rehabilitation and reconstruction phases of the tsunami response are implemented. Such information was also felt to assist future monitoring and disaster response strategies .

2.0 Indonesia

With the earthquake epicenter less than 40 kilometres from the coast of the Sumatra island, Indonesia was the worst affected country. The resulting tsunami extensively flooded coastal areas, reaching inland from 500 metres to about two kilometres in the west coast. In some areas along rivers and estuaries, the sea surge extended more than six kilometres inland.

Besides the massive human toll of more than one million killed or displaced, the economic destruction and environmental damage of the Sumatra Island was extensive. Coral reefs, mangroves, coastal areas, wetlands, agricultural fields and forests, aquaculture areas etc. were badly damaged.

Indonesia's BAPPENAs (State Ministry of National Development Planning) damage assessment estimated that 20 percent of sea grass beds, 30 percent of coral reefs, and 25-35 percent of wetlands, and 50 percent of sandy beaches of the west coast, have been damaged. The most serious threat to coastal waters is due to the tsunami debris that was dragged into the ocean by the receding waters of the tsunami.

The on-going conversion of mangrove forests into shrimp farms and environmental destruction, were further damaged by the tsunami. Considering the critical function that mangroves play as a filter to the waters that flow from the estuaries to the ocean, their damage due to the tsunami will be incalculable � an estimated 90 percent damage has been reported to mangroves and coastal forests. Fragile wetlands and estuaries in the affected areas in Indonesia have also been affected. Preliminary analysis of satellite images have indicated subsided areas and modified flow of rivers and drainage patterns .

While the more than 70 streams and rivers in the region can be expected to be flushed clean over time, the contamination of ground water reservoirs due to saltwater intrusion, sewage, debris and hazardous materials will be much more difficult to remedy. FAO estimates that 30 percent of farmland has been affected in the north-east coast, and 70 percent in the west coast � with about 20 percent permanently damaged .

Cities and towns in the coastal area were also extensively damaged, including industrial areas and ports. The debris generated by the tsunami not only mixed different types of wastes (bricks, concrete, wood, vegetation, plastics and metals, etc.), but the backwash carried these wastes and deposited it in the ocean. Existing wastes in landfill sites (particularly those near the coasts in Banda Aceh) were also dredged out into the ocean by the tsunami wave.

3.0 Thailand

Much of the impact of the tsunami on Thailand was along the Andaman coast, affecting six coastal provinces. The impacts on these provinces were varied due to differences in the land forms, slope and elevation, and presence (or absence) of natural barriers such as coral reefs and mangroves.

A number of varied coastal and land ecosystems were affected by the tsunami, particularly coral reefs. About 15 to 20 percent of the coral reefs were affected by the tsunami - due to siltation and sand infiltration. The backwash from the tsunami wave carried debris from inland areas that also damaged the coral reefs. However, deep water coral reefs (beyond three to five metres depth) were not adversely affected.

Sea grass beds in the coastal provinces play a critical role in fishery production, and as a food source. Based on surveys conducted by the Thai government, three to 10 percent of the sea grass beds were damaged, which would require about six months to recover from the damage.

Damage to mangrove forests was considerably less than in other countries, with less that one percent of the mangroves affected. In Phang Nga, the most affected province of Thailand, large mangrove forests in the north and south of the province significantly mitigated the impact of the Tsunami. They suffered damage on their seaside fringe, but reduced the tidal wave energy, providing protection to the inland population. Areas where mangroves were converted to shrimp farms, were worse affected during the tsunami.

Inland damage to surface and groundwater resources follow a pattern similar to other affected countries. With land up to three kilometres inland inundated by the tsunami wave, most of the affected water bodies were rendered useless due to seawater/saline infiltration. Water samples analyzed by the Ministry of Natural Resources and Environment from wells dependent on groundwater have also shown seawater and debris contamination. Seawater intrusion has also affected about 20,000 to 30,000 hectares of land, including vegetation cover, and medium to long-term fertility of the soil.

Damage to infrastructure such as fisheries infrastructure, buildings and bridges, and other structures were extensive, creating not only loss of economic livelihoods, but also extensive debris that has to be cleared in an environmentally friendly manner.

4.0 Sri Lanka

The first wave from the tsunami reached the east coasts of Sri Lanka about 100 minutes after the earthquake, with a surge height of 5.5 to 6.5 metres. Over two-thirds of the 12 districts in the north-eastern, eastern and south-eastern coasts were affected � though not uniformly, as a result of the varying land and sea-bed structures.

The pattern of impacts on Sri Lanka's coral reefs, along the southern and eastern coasts, is similar to that of other countries affected by the tsunami. While coral rock mining, blast/purse-seining fishing, and other practices had already impacted a fragile ecosystem, the tsunami exacerbated the destruction, breaking off large sections of the reef, depositing sand and silt on the reefs, including large quantities of waste, soil and organic matter.

Differing patterns of inundation and damage, seen in neighbouring areas along the Sri Lankan coast, was not related to such coastline features as headlands or river channels, rather, the key factor was the presence or absence of coral and rock reefs offshore . For example, at Hikkaduwa, a hotel is protected by coral reefs that the local communities protect and nurture. Relatively little damage and few deaths were recorded from there to Dodanduwa, around six kilometres to the south. However, from Hikkaduwa north to Akuralla, damage and loss of life was extensive.

The presence of housing and other buildings very close to the coast, and the lack of appropriate building and planning standards/codes, essentially increased the damage and destruction to infrastructure and property, besides taking its toll on the human population. The intensity and extent of destruction has generated an enormous volume of waste and debris. The sheer volume and associated costs of disposal is a significant drain on the reconstruction budgets . Emergency efforts in cleaning has resulted in intermixing of all debris types and haphazard disposal of debris along roads, in open fields and into drainage ditches and rivers, besides its burning. In the near future, this will require its proper segregation and re-disposal, and may also cause long-term problems in groundwater and land pollution.

An estimated 62,000 groundwater wells were contaminated by seawater, and by wastewater and sewage, rendering them useless. Efforts to pump-out and clean wells will be compounded by the fact that, in many cases, ground water aquifers have also been contaminated. Besides affecting access to drinking water, this situation also affects agriculture, where soil salinity will make agricultural fields unsuitable for farming in the medium and long term.

5.0 Maldives

Maldives is comprised of about 1,200 low-lying islands and atolls, of which about 280 are inhabited. Many of these were located in the direct path of the tsunami, about three hours after the earthquake struck Indonesia. Despite the fact that most of the islands are less than one meter above sea level, human casualties were low, which some scientists attribute to coral reefs reducing the strength of the wave. The average height of the tsunami wave was low in all areas of the country .

One of the most significant impacts of the tsunami on the environment of Maldives was on its groundwater. Due to the close proximity of the groundwater levels to the surface � about 1.5 to 2.0 metres below the ground - it was more vulnerable to the negative impacts of the tsunami. Salt water intrusion, leaking septic tanks and debris contaminated water wells and groundwater aquifers.

Most of the hard-hit areas were under development for the last couple of decades, and large areas of the fragile coral reef were damaged, and disappeared as a result of the tsunami waves. But the effect of the tsunami itself on the coral reefs was discovered to be minimal, limited to sand inundation and debris deposits .

Due to the criticality of the coastal regions to Maldive's tourism and the buffer that they offer to inland areas of the islands, damage to such regions due to the tsunami is of particular concern. Most of the damage was to the coastal infrastructure, including harbours, destruction of coastal vegetation, and extensive sand erosion. Sea water intrusion into inland areas also affected soil fertility, causing many islands' top soil to be washed away and increasing the salinity of the soil.

A direct environmental impact of the tsunami was the relatively high volume of wastes generated by the destroyed buildings and infrastructure, particularly on islands where an everyday waste management system did not exist. The debris that has to now be cleared and disposed is mixed in content � demolition waste (brick, concrete, timber etc.), vegetation, soil and sediment, household waste, etc. Mixing of hazardous wastes such as oil drums and asbestos sheets in the disaster debris, has exacerbated the waste problem.

The tsunami also affected a number of economic sectors of the country � including the tourism, fisheries and agriculture sectors. Many of the activities associated with these sector will take many years to recover from the tsunami impacts.

6.0 Implications and Recommendations for Future Disasters

With the WCDR having been held in Kobe in January 2005, in the shadow of the tsunami disaster, many of the key activities recommended in its Programme of Action (PoA) have distinct environmental dimensions that will come to the fore as rehabilitation and reconstruction efforts are put in place by the affected countries.

Among other recommendations, the Hyogo Framework of Action calls for emphasis to be placed on environmental and natural resource management. It also encourages the sustainable use and management of ecosystems, including through better land-use planning and development activities to reduce risk and vulnerabilities, and calls for the implementation of integrated environmental and natural resource management approaches that incorporate disaster risk reduction, including structural and non-structural measures, such as integrated flood management and appropriate management of fragile ecosystems.

Looking at a broader and longer-term perspective, the PoA also recommends the integration of risk reduction associated with existing climate variability and future climate change into strategies for the reduction of disaster risk and adaptation to climate change. This would include the clear identification of climate-related disaster risks, the design of specific risk reduction measures and an improved and routine use of climate risk information by planners, engineers and other decision-makers.

One of the key observations emerging from the rapid environmental assessments in the countries affected by the tsunami, is a lack of understanding of the effect that environmental degradation has in exacerbating the negative impacts of a disaster. Observations made by IUCN and other organizations in Thailand and Sri Lanka show how neighbouring coasts and islands were affected differently, due in part to the presence or absence of well-preserved mangroves, coral reefs and coastal vegetation .

As relief efforts give way to rehabilitation and reconstruction programmes in the affected countries, mainstreaming environmental concerns becomes an important pre-requisite for developing programmes and projects, specifically in making them community-oriented. Programmes and projects will also have to link environmental actions to larger developmental issues, such as job creation and income generation potentials, which will enable speedier recovery of the affected communities livelihoods.

New scientific insights from ecologists show that natural ecosystems such as coral reefs and coastal mangrove forests can adapt to change and recover from storms and floods and still provide services of protecting the coast and absorbing pollution. But once these ecosystems are put under pressure by coastal development, they may lose their resilience .

Restorative programmes and projects will also have to have multiple benefits � coastal reforestation programmes will not only absorb the energy from future tsunami waves, it can also prevent coastal erosion and help national objectives of reforestation and job creation.

Much of the rapid environmental assessments emerging from the field point to a lack of vulnerability and risk assessment/mapping, either at the local level or at the provincial levels. Environmental baseline data, including assessments of the local environment, risks from hazardous/toxic materials was also lacking. Local governments in Banda Aceh, for example, pointed to a need to build local capacity to collate and manage such data . Disaster management plans developed at the national level did not incorporate environmental guidelines in its set up.

While a number of urgent steps are currently underway in the affected countries, more attention needs to be focused on the longer-term environmental sustainability of the regions impacted by the tsunami. The current ongoing efforts in coastal zone management and restoring coastal ecosystems have to be balanced with priorities of reconstructing ports. harbours, buildings and other coastal infrastructure.

Coastal zone management strategies being considered in Sri Lanka, Indonesia and Thailand highlight the continuum of inland areas, coasts, and oceans. These include the creation of buffer zones and 'no-build' areas that are clearly set back from the edge of the coast. Replanting coastal forests and restoration of mangroves have also been taken up as a part of the environmental recovery process. Restoring the health of the coral reefs will be a much more complex task, and will have to be integrated with the larger process of job creation and tourism recovery for the nearby affected coastal communities.

Of particular importance is the quick and environmentally sound disposal of the debris and waste, particularly in exploring its recycling and reuse potentials � so that reconstruction and rehabilitation can commence. Field assessments in Banda Aceh, Maldives and other regions have shown the haphazard intermixing of different types of wastes such as concrete blocks, bricks, trees and vegetative matter. The potential for recycling and reusing the debris, particularly those that are inert, was set aside in order to rapidly clear the affected areas and dump the debris in already overloaded landfills. This also resulted, in some cases, in illegal dumping in agricultural fields.

Feeding back the above lessons learnt to longer-term prevention and preparedness programmes will have to focus on carrying out detailed environmental assessments and creating monitoring and evaluation systems on the environmental situation at the local level. Better coastal zone management, with prudent land-use and urban planning that takes disaster management principles into consideration, will considerably help reduce the vulnerability that affected communities face, and also reduce the stresses that the environment faces.

Maintaining a critical balance of natural and man-made aspects of the urban environment � particularly in eliminating or reducing the disaster risks and hazards, will have to be built into local development plans, for example enhancing the ability of natural ecosystems such as mangrove forests and coral reefs to act as a 'bio-shield' to protect people and their livelihoods, but also the use of cost-effective and innovative engineering solutions to control coastal erosion.

Appropriate laws and legislation related to disaster management, including those related to the development of preparedness plans at the local and provincial levels have to clearly take environmental dimensions into consideration � both as a contributing factor to disaster events and being affected by disaster events. A typical example is that of Maldives' plans to set up 'safe islands' where vulnerable communities are protected by measures such as specially constructed areas of high ground, taller buildings, and buffer stocks of provisions .

As a disaster preparedness measure, a range of policy and strategy tools can be used to reduce the risk and vulnerability of local communities. Of particular significance are tools such as environmental risk assessment (ERA) and environmental management systems (EMS). EMS is a relatively new approach, based on the ISO 14001 standard, which when adopted to disaster management, enables the systematic identification and assessment of significant environmental aspects that impact disasters and setting of measurable targets. It also includes the monitoring and checking of steps taken to achieve these targets.

Strategic environmental assessments (SEAs) can also be incorporated into local disaster plans. Vulnerability and environmental hazard mapping of local communities will have to be combined with early warning systems that regularly monitor and evaluate the situation.

Environmental codes and standards, and their proper enforcement and monitoring, will go a long way when they are used for disaster preparedness and response purposes. For example, a well-maintained inventory of chemicals and hazardous substances used by local industries, and their proper labeling, will ensure that, during a disaster event, the risks that such materials pose to communities living nearby can be mitigated by proper isolation, handling and segregation.

Clearly then, environmental tools for pre-disaster preparedness focus on the development of policies and strategies, and in strengthening the capacities of local communities and government bodies (including specialized arms of the local government looking at environmental aspects � for example the BAPPEDALDA in Indonesia) to look at the environmental dimensions of their preparedness plans.

For post disaster recovery and reconstruction, similar strategies and tools can be identified, which will not only aid the recovery process, but will also assist in strengthening future preparedness. Of particular significance here are Rapid Environmental Assessment (REA) and Environmental Impact Assessment (EIA) tools. These tools are particularly focused on the assessment and implementation of recovery and reconstruction projects, ensuring that programmes and projects not only help affected communities to recover their livelihoods, but also restore the local environment. For example, a set of criteria included in forms for approval of projects in the Aceh area of Indonesia was those related to the potential environmental impacts of proposed projects.

As illustrated by the differing casualties and damage experienced by communities in Cuba and Haiti during the tropical storm Jeanne in 2004, understanding the cause-effect interrelationships, and preparing for the underlying risks, can go a long way in reducing the damage confronted by vulnerable communities. This is a direct and positive result of Cuba's comprehensive environmental management programme, which was institutionalized and implemented within an Agenda 21 framework .

The tsunami had less impact in areas where ecosystems were protected and local communities were aware of coastal hazards than those places where development was carried out very close to the shoreline. Environmental concerns are therefore not all pre-disaster preparation - such management strategies can also be critical in coordinating relief and response in a post-disaster situation.

Educating and raising the awareness of both affected communities and decision-makers alike, of the intrinsic cyclical linkages between environmental management and disaster management, will help to build deeper commitment and benefit for both aspects. Existing resilience of coastal and inland environments and communities will also have to be strengthened when setting up management policies to cope with disasters.

Awareness raising on the above issues will have to be built into all levels of governance � from the household to the community, the town/city, and the province and nation. Besides environmental protection itself, it should be extended and linked to other developmental priorities as well, such as poverty, health and other such 'non-disaster' aspects. An integrated and interlinked, multi-disciplinary approach to disaster management will be the way forward to reducing the vulnerabilities faced by ordinary people in risk situations.

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