Challenges in increasing community preparedness against tsunami hazards in tsunami-prone small islands around Sumatra, Indonesia

Syamsidik, Syamsidik; Rasyif, Teuku Muhammad; Suppasri, Anawat; Fahmi, Mirza; Al'ala, Musa; Akmal, Wan; Hafli, Teuku Mudi; Fauzia, Arisna

doi:10.1016/j.ijdrr.2020.101572

Cited by 23 publications

(13 citation statements)

References 37 publications

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“…On monitoring and forecasting in EWS, several papers incorporate local risk knowledge into developing monitoring and forecasting tools mainly for slow onset hazards (i.e. drought) (Guthiga and Newsham 2011;Hiwasaki et al 2014;Masinde 2015;Acharya and Prakash 2019;Syamsidik et al 2020;Tiepolo et al 2021). Researchers who focus on methods such as forecast technologies and local knowledge validation tend to incorporate results in the monitoring and forecasting phase.…”

Section: Focus In the Four Pillars Of Early Warning Systems For Integ...mentioning

confidence: 99%

Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review

Hermans

Trogrlić

Homberg³

et al. 2022

Nat Hazards

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The occurrence and intensity of some natural hazards (e.g. hydro-meteorological) increase due to climate change, with growing exposure and socio-economic vulnerability, leading to mounting risks. In response, Disaster Risk Reduction policy and practice emphasize people-centred Early Warning Systems (EWS). Global policies stress the need for including local knowledge and increasing the literature on integrating local and scientific knowledge for EWS. In this paper, we present a review to understand and outline how local and scientific knowledge integration is framed in EWS, namely: (1) existing integration approaches, (2) where in the EWS integration happens, (3) outcomes, (4) challenges, and (5) enablers. The objective is to critically evaluate integration and highlight critical questions about assumptions, goals, outcomes, and processes. In particular, we unpack the impact of power and knowledges as plural. We find a spectrum of integration between knowledges in EWS, mainly with dichotomy at the start: focus on people or technology. The most popular integration approaches are participatory methods such as ‘GIS mapping’ (technology) and methods that focus on ‘triangulation’ (people). We find that critical analysis of power relations and social interaction is either missed or framed as a challenge within integration processes. Knowledge is often seen as binary, embedded in the concept of ‘integration’. It is important to know what different knowledges can and cannot do in different contexts and acknowledge the hybrid reality of knowledge used for EWS. We argue that how we approach different knowledges in EWS has fundamental implications for the approaches to integration and its meaning. To this end, attention to the social processes, power dynamics, and context is crucial.

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Section: Focus In the Four Pillars Of Early Warning Systems For Integ...mentioning

confidence: 99%

Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review

Hermans

Trogrlić

Homberg³

et al. 2022

Nat Hazards

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“…Observations in the Pusong coastal area showed that the village is vulnerable to tidal floods caused by the physical (building) and social conditions of the community. The physical vulnerability is caused by the flood hazard area's location and Furthermore, the area has limited infrastructure such as drainage, clean water and garbage disposal sites which causes a high cost of living and economic dependence on the mainland (Syamsidik et al 2020).…”

Section: Socio-environmental Condition Of Pusong Related To Floodsmentioning

confidence: 99%

Community adaptation strategies toward tidal flood: A Case study in Langsa, Indonesia

Aksa

Afrian

2022

Jàmbá Journal of Disaster Risk Studies

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Flood risk reduction in Indonesia is primarily still focused on structural measures with limited research assessing community adaptation strategies. The response and adaptation strategies carried out by the community have been recognized as playing an important role in planning future mitigation actions. Community adaptation strategies are key factors in disaster risk reduction. This study aimed to determine the responses and adaptation strategies to manage tidal floods by the coastal community of Langsa City. An in-depth interview with village heads and officials, youth leaders and the community was performed to generate data. The results showed that the local community ignored the dangers of tidal floods and disregarded them as life-threatening. Furthermore, they carried out adaptations, such as raising the house level using wood materials and building dams along the coastline autonomously without government intervention. The adaptations were carried out through communal work referred to as ‘gotong royong’ (mutual cooperation).Contribution: These findings highlight the importance of ‘gotong royong’ as social capital in disaster risk reduction and government attention to conduct integrated coastal area management.

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“…The tsunami simulation includes tsunami generation from the earthquake source to the tsunami propagation and inundation. Some studies have been successfully demonstrated tsunami propagation along the Sumatrasubduction zone using COMCOT [19] [20]. In this study, the earthquake source is data from the 2004 earthquake with an earthquake magnitude of Mw 9.15 with a thrust fault earthquake mechanism.…”

Section: Tsunami Numerical Modellingmentioning

confidence: 99%

Incorporating dynamics of land use and land cover changes into tsunami numerical modelling for future tsunamis in Banda Aceh

et al. 2022

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This study aims to investigate the tsunami exposure to current land use land cover (LULC) with the LULC predictions for the next 50 years, including the impact of sea-level rise (SLR) in Banda Aceh. This study began with a spatio-temporal dynamic analysis using LULC changes projection. Firstly, Markov Chain was used to simulate the changing trends in land use from 2011 to 2015. The changing trends were used to simulate land use predictions for 2015-2065 using Cellular Automata (CA). There were six main types of LULC classifications, i.e., ponds, built-up areas, mangroves, bare land, urban forests, and water areas. Furthermore, the map resulting from the land use simulation was used as the Manning Coefficients for tsunami simulation using the COMCOT model. The initial tsunami waves were generated based on the 2004 Indian Ocean Tsunami caused by 9.15 Mw earthquake. As a dynamic tsunami hazard approach, a sea-level rise of 0.35 m was considered for the next 50 years. The study results show the built-up area will be affected by the tsunami, about two-thirds of the city’s built area. Growth tends to occur in the southern part of the city outside the tsunami hazard zone. But there will also be the growth of built-up areas near the coast. Although much development is observed in the southern part of the city, the coastal area also needs attention because the sea level rise factor can exacerbate the impacts of tsunamis in the future.

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Challenges in increasing community preparedness against tsunami hazards in tsunami-prone small islands around Sumatra, Indonesia

Cited by 23 publications

References 37 publications

Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review

Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review

Community adaptation strategies toward tidal flood: A Case study in Langsa, Indonesia

Incorporating dynamics of land use and land cover changes into tsunami numerical modelling for future tsunamis in Banda Aceh

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