scholarly journals Disaster risk reduction among households exposed to landslide hazard: A crucial role for self-efficacy?

2018 ◽  
Vol 75 ◽  
pp. 77-91 ◽  
Author(s):  
K. Mertens ◽  
L. Jacobs ◽  
J. Maes ◽  
J. Poesen ◽  
M. Kervyn ◽  
...  
2018 ◽  
Vol 2 (1) ◽  
pp. 36
Author(s):  
Heru Sri Naryanto

ABSTRACTBanggai Laut District which consists of islands has many threats to natural disaster, one of them is landslide hazard. The landslides hazard in Banggai Laut District is formed due to morphology which mostly in the form of wavy morphology up to the hills. The thematic map data used in landslide hazard map analysis is the official data held by the Banggai Laut District Government. The weighting and rating system is carried out on several parameters: geology (15%), slope (40%), land cover (25%) and rainfall (20%). Data from these parameters are overlaid with geographic information system (GIS) to obtain the classification of landslide hazard maps, ie: high landslide hazard zones, moderate landslide hazard zones and low landslide hazard zones. High landslide hazard zones are evenly spread over 4 large islands, namely Banggai Island, Bangkurung Island, Labobo Island and Bokan Kepulauan Islands. The potential for high landslide hazard will become bigger with added disturbance of human activities. To smooth the development process in integrated Banggai Laut District, landslide hazard maps and other hazard maps are very necessary. The limited availability of data and information on the disaster in Banggai Laut District, the creation of landslide hazard map is very important as one of the parts to complement the data. With the establishment of Regional Disaster Management Agency (BPBD) of Banggai Laut District, disaster risk reduction is expected to be implemented more focused, integrated, comprehensive and well coordinated with related institutions. Keywords: Landslides, Hazard Maps, Banggai Laut, Disaster Risk Reduction, Focused and Integrated Development.   ABSTRAKKabupaten Banggai Laut yang terdiri dari kepulauan mempunyai banyak ancaman terhadap bencana alam, salah satunya adalah bencana tanah longsor (gerakan tanah). Bahaya tanah longsor di Kabupaten Banggai Laut terbentuk akibat morfofologi yang sebagian besar berupa morfologi bergelombang sampai perbukitan. Data peta tematik yang digunakan dalam analisis peta bahaya tanah longsor adalah data resmi yang dimiliki oleh Pemerintah Kabupaten Banggai Laut. Sistem pembobotan dan penilaian dilakukan pada beberapa parameter yaitu: geologi (15%), lereng (40%), tutupan lahan (25%) dan curah hujan (20%). Data dari parameter-parameter tersebut dioverlay dengan sistem informasi geografi untuk mendapatkan klasifikasi peta bahaya tanah longsor, yaitu: zona bahaya tanah longsor tinggi, zona bahaya tanah longsor sedang dan zona bahaya tanah longsor rendah. Zona bahaya tanah longsor tinggi merata tersebar di 4 pulau besar, yaitu Pulau Banggai, Pulau Bangkurung, Pulau Labobo dan Bokan Kepulauan. Potensi bahaya longsor tinggi tersebut akan menjadi semakin besar dengan tambahan gangguan aktivitas manusia. Untuk kelancaran proses pembangunan secara terpadu di Kabupaten Banggai Laut, peta bahaya longsor dan peta-peta bahaya lainnya sangat diperlukan. Ketersediaan data dan informasi tentang kebencanaan yang masih terbatas di Kabupaten Banggai Laut, maka pembuatan peta kawasan rawan bahaya tanah longsor sangat penting sebagai salah satu bagian untuk melengkapi data tersebut. Dengan terbentuknya BPBD Kabupaten Banggai Laut, maka pengurangan risiko bencana diharapkan dapat dilaksanakan dengan lebih terarah, terpadu, menyeluruh serta terkoordinasi dengan baik dengan instansi terkait. Kata kunci: Tanah Longsor, Peta Bahaya, Banggai Laut, Pengurangan Risiko Bencana, Pembangunan Terarah dan Terpadu.


2021 ◽  
Author(s):  
Jan Kolomazník ◽  
Ivana Hlavacova ◽  
Matthias Schloegl

<p>EO4SD (Earth Observation for Sustainable Development) initiative of the European Space Agency aims at facilitating the uptake and integration of satellite information products and services into development activities of international financial institutions and their partners in targeted countries. Its disaster risk reduction (DRR) cluster plays a crucial role when it comes to impacts of natural hazards on societies.</p><p>We present a recent service established within the EO4SD-DRR cluster, which aimed at providing evidence-based support to the design of reconstruction works on the road corridor in mountainous and landslide prone terrain between towns of Kalay and Hakha in Chin state, Myanmar. The whole service is constituted by an ensemble of analytical products and comprises four major components: (1) establishment of a landslide inventory, (2) derivation of landslide susceptibility, (3) slope instability analysis, and (4) overall landslide exposure assessment.</p><p>First, a landslide inventory of historic landslide events was derived from optical satellite imagery. Second, by linking the landslide inventory with geomorphological features derived from a digital elevation model as well as geological and land cover data, a comprehensive landslide susceptibility map was derived. This was accomplished by employing robust machine learning ensemble methods, inherently tackling the problem of class imbalance, and yielding not only the estimated susceptibility, but also its corresponding uncertainty. Third, a slope instability assessment was obtained via multi-temporal InSAR. Interferometric analysis provided estimates of terrain displacement velocities from Sentinel-1 data from ascending and descending trajectories and by leveraging both persistent scatterer and the small baselines methods. As the atmospheric phase screen could not be reliably estimated  the area of interest had to be split into several sub-areas processed independently. Due to large amount of points with non-linear displacements and varying noise levels, InSAR measurement points were filtered using both coherence threshold and features representing length of reliable period derived by segmentation of displacement time series. Displacement velocities were converted from satellite line-of-sight to direction of maximum slope gradient and point attributes were supplemented with metadata indicating detected points’ reliability based on combination of coherence and directional sensitivity. Finally, exposure of road segments to landslide hazard represented by susceptibility and estimated slope instabilities was quantified and presented in dedicated web application to allow intuitive identification of hazard hot-spots.</p><p>Despite several methodological challenges products demonstrate robustness and utility of Earth Observation technology to address landslide hazard screening and to support targeting and protecting investments into landslide mitigation measures along the road corridor.</p>


2020 ◽  
Author(s):  
Tej Raj Oli ◽  
Hari Prasad Pandey ◽  
Shiv Kumar Manjan

Abstract An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural Municipality of Rukum West district of Karnali Province of where the pressure of rural road constructions seems relatively higher. Primary data were collected and used to construct the landslide distribution map and hazard assessments those were obtained from the direct ground-truthing and mapping using GIS. To determine the factors and classes influencing land sliding, the layers of topographic factors derived from a digital elevation model (DEM), geology, and land use/land covers were analyzed. The results are presented in landslide distribution mapping and hazard analyses. From the landslide inventory of more than 200 landslides that were occurred since 2015, the landslide distribution maps, landslide-size distribution maps and hazard level of sliding graphics were presented. Hazard map of the study area shows 4.34% area lies in the high hazard level, 53.64% on moderate hazard level and 42.02% in low hazard level in the study area. The results would give insights to the landslide distribution in the area that could support rural municipality for shaping disaster risk reduction policies and strategies. The result could be reference for landslide distribution mapping and hazard zonation.


2020 ◽  
Vol 12 (13) ◽  
pp. 5354 ◽  
Author(s):  
Junlei Yu ◽  
Timothy Sim ◽  
Wenhua Qi ◽  
Zhe Zhu

Promoting individual disaster preparedness is one of the most effective ways to reduce disaster risk. Effective disaster risk communication is widely known to motivate individuals to take protective measures. However, the mechanisms underlying the communication of risk, particularly between local officials and individuals, and its effects on individuals’ disaster preparedness are still unclear. This study established a moderated mediation model to investigate the mediating and moderating roles of individuals’ level of disaster preparedness knowledge and self-efficacy, respectively, with a focus on local officials as the disaster information source. To test this conceptual model, 1080 villagers from Weinan city, Shaanxi province, China were randomly selected and interviewed. The results showed that frequent interpersonal communication with local officials enhanced villagers’ disaster preparedness. However, this relationship was mediated by the extent of villagers’ disaster preparedness knowledge. Moderated mediation analysis further indicated that those with a higher level of self-efficacy were more likely to prepare for disasters after receiving disaster risk-reduction information with village officials, but this effect was not significant for villagers with low self-efficacy. These findings indicated that individuals’ preparedness level can be increased if local officials regularly communicate disaster risk reduction knowledge to villagers, and that this effect is stronger for individuals with a higher level of self-efficacy.


2019 ◽  
Vol 16 (3) ◽  
Author(s):  
Wisyanto

Landslides have occurred in various places in Indonesia. Likewise with West Java, there were many regions that has experienced repeated landslides. Having many experience of occurrences of landslides, we should have had a good landslide risk reduction program. Indeed, the incidence of landslides depends on many variables. Due to that condition, it may that a region would have different variable with another region. So it is impossible to generalize the implementation of a mitigation technology for all areas prone to landslides. Research of the Cililin's landslide is to anticipate the next disasters that may happen in around the area of 2013 Cililin Landslide. Through observation lithological conditions, water condition, land cover and landscape, as well as consideration of wide dimension of the building footing, the distance of building to the slopes and so forth, it has been determined some efforts of disaster risk reduction in the area around the landslide against the occurrence of potential landslide in the future.Bencana tanah longsor telah terjadi di berbagai tempat di Indonesia. Demikian halnya dengan Jawa Barat, tidak sedikit daerahnya telah berulang kali mengalami longsor. Seharusnya dengan telah banyaknya kejadian longsor, kita mampu mengupayakan program penurunan risiko longsor secara baik. Memang kejadian longsor bergantung pada banyak variabel, dimana dari satu daerah dengan daerah yang lain akan sangat memungkinkan mempunyai variabel yang berbeda, sehingga tidak mungkin kita membuat generalisasi penerapan suatu teknologi mitigasinya untuk semua daerah rawan longsor. Penelitian longsor di Cililin dilakukan untuk mengantisipasi terjadinya bencana di sekitar daerah Longsor Cililin 2013 yang lalu. Melalui pengamatan kondisi litologi, keairan, tutupan lahan dan bentang alam yang ada, serta pertimbangan akan dimensi luas pijakan bangunan, jarak batas bangunan dengan lereng dan lain sebagainya, telah ditentukan beberapa upaya penurunan risiko bencana di daerah sekitar longsor terhadap potensi kejadian longsor dimasa mendatang.Keywords: Landslide, risk reduction, footing of building, Cililin


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