scholarly journals KAJIAN PETA BAHAYA TANAH LONGSOR DI KABUPATEN BANGGAI LAUT, PROVINSI SULAWESI TENGAH (STUDY OF LANDSLIDE HAZARD MAP IN THE BANGGAI LAUT DISTRICT, CENTRAL SULAWESI PROVINCE)

2018 ◽  
Vol 2 (1) ◽  
pp. 36
Author(s):  
Heru Sri Naryanto
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Landslide Hazard ◽  
Hazard Map ◽  
Hazard Maps ◽  
Landslide Hazard Map ◽  
Map Data ◽  
Map Analysis

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.

scholarly journals Solving the dilemma of transforming landslide hazard maps into effective policy and regulations

2012 ◽  
Vol 12 (1) ◽  
pp. 53-60 ◽  
Author(s):  
J. V. DeGraff
Keyword(s):  
Risk Reduction ◽  
Scientific Information ◽  
Landslide Hazard ◽  
Landslide Risk ◽  
Hazard Map ◽  
Hazard Maps ◽  
Populations At Risk ◽  
Landslide Event ◽  
Effective Policy ◽  
Landslide Hazard Map

Abstract. As geoscientists, we often perceive the production of a map or model to adequately define landslide hazard for an area as the answer or end point for reducing risk to people and property. In reality, the risk to people and property remains pretty much the same as it did before the map existed. Real landslide risk reduction takes place when the activities and populations at risk are changed so the consequences of a landslide event results in lower losses. Commonly, this takes place by translating the information embodied in the landslide hazard map into some change in policy and regulation applying to the affected area. This is where the dilemma arises. Scientific information generally has qualifications, gradations, and conditions associated with it. Regulations are necessarily written in language that tries to avoid any need for interpretation. Effectively incorporating geologic information into regulations and ordinances requires continued involvement with their development and implementation. Unless geoscientists are willing to participate in that process, sustainable risk reduction is unlikely to occur.

scholarly journals Assessment on earthquake resistance spectral design load criteria for buildings and infrastructures in Indonesia

2021 ◽  
Vol 331 ◽  
pp. 07009
Author(s):  
I Wayan Sengara ◽  
Fahmi Aldiamar
Keyword(s):  
Seismic Hazard ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Earthquake Resistance ◽  
Hazard Maps ◽  
Seismic Codes ◽  
Seismic Hazard Maps ◽  
Design Load ◽  
Spectral Design

General assessment on earthquake resistance spectral design load criteria for buildings and infrastructures associated with the recent development of Indonesian seismic hazard maps is presented in this paper. The assessment is directed toward general identification of their associated risks for input to policy formulation of disaster risk reduction management plans or strategies. Indonesian seismic hazard maps haveevolved for the last three decades. This is originated from an early development map before 2002, where a seismic hazard map particularly for buildings (1983) was developed adopting the early process of probabilisticseismic hazard analysis (PSHA) for 200 years return period (RP). Further, a 2002 version seismic hazard maphas been developed in the form of peak ground acceleration (PGA) for 500 years RP. Spectral design criteriafor buildings and bridges have been later developed by updating PSHA involving new seismic source zones, ground-motion predictive equations, and various earthquake RP, accommodating seismic codes for buildings(2500 years RP), for bridges (1000 years RP) and dams involving various RP up to 10,000 years RP correspond to its design level. The spectral accelerations also have included PGA, short (0.2s) period, and 1-s period. The latest update hazard maps (2017) have been developed and adopted for seismic codes for buildings, bridges, dams, and other related infrastructures. The increase in spectral design load criteria is identified to assess the general risk of existing constructions, considering the results of several recent building damage surveys. Adoption of new seismic codes based on the most recent hazard maps along with its enforcement is expected to contribute to seismic disaster risk reduction in Indonesia.

Supporting disaster risk reduction with satellite Earth Observation: Landslide hazard assessment for the Chin road corridor, Myanmar 

2021 ◽  
Author(s):  
Jan Kolomazník ◽  
Ivana Hlavacova ◽  
Matthias Schloegl
Keyword(s):  
Risk Reduction ◽  
Landslide Susceptibility ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Earth Observation ◽  
Landslide Hazard ◽  
Slope Instability ◽  
Landslide Inventory ◽  
Maximum Slope ◽  
The Road

<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>

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 ◽  
...  
Keyword(s):  
Risk Reduction ◽  
Self Efficacy ◽  
Crucial Role ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Landslide Hazard

scholarly journals Analysis of landslide hazard mapping of penang island malaysia using bivariate statistical methods

2019 ◽  
Vol 16 (2) ◽  
pp. 781
Author(s):  
Ilyas A Huqqani ◽  
Lea Tien Tay ◽  
Junita Mohamad Saleh
Keyword(s):  
Statistical Methods ◽  
Landslide Hazard ◽  
Simple Approach ◽  
Information Value ◽  
Computational Time ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Hazard Maps ◽  
Landslide Hazard Mapping ◽  
Landslide Hazard Map

Landslide is one of the disasters which cause property damages, infrastructure destruction, injury and death. This paper presents the analysis of landslide hazard mapping of Penang Island Malaysia using bivariate statistical methods. Bivariate statistical methods are simple approach which are capable to produce good results in short computational time. In this study, three bivariate statistical methods, i.e. Frequency Ratio (FR), Information Value (IV) and Modified Information Value (MIV) are used to generate the landslide hazard maps of Penang Island. These bivariate statistical methods are computed using MATLAB tool. Landslide hazard map is categorized into 4 levels of hazard. The accuracy of each method and effectiveness in predicating landslides are validated and determined by using Receiver of Characteristics curve. The accuracies of FR, IV and MIV methods are 79.58%, 79.14% and 79.37% respectively.

scholarly journals Evaluation of landslide hazard and its impacts on hilly environment of the Nilgiris District - a geospatial approach

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Edison Thennavan ◽  
Ganapathy Pattukandan Ganapathy
Keyword(s):  
Landslide Hazard ◽  
Government Agencies ◽  
Hazard Map ◽  
Hazard Zonation ◽  
Hazard Maps ◽  
Landslide Hazard Zonation ◽  
Landuse Planning ◽  
Western Ghats Of India ◽  
The Nilgiris ◽  
Landslide Hazard Map

AbstractLandslide Hazard Zonation (LSH) maps play a key role in landuse planning particularly in landslide prone areas. LSH mapping is globally accepted one for analyzing the area for landslide susceptibility. Different approaches were followed by many researchers in India to prepare landslide hazard zonation mapping depending upon their need and requirement. The Nilgiris district in Western Ghats of India is one of the severe to high landslide hazard prone areas of India. Many agencies have carried out research on LSH mapping for the Nilgiris district with different scales. A systematic study of inventory and zonation was 122carried out in 1980’s by government agencies. However there is no proper updation or documentation on landslides after 1980’s in the district The purpose of this paper is to review the existing landslide-related studies in the district of The Nilgiris and review the district’s existing landslide hazard map with updated information. Landslide hazard maps in The Nilgiris were compiled in the GIS platform from various authenticated sources. Data on landslides from 1824 to 2014 were collected and a spatial database on landslides was created. A detailed inventory was analyzed and used for revision of the district’s landslide hazard impact on the 2009 landslides.. Based on the landslide inventory and densely populated areas and repeated landslides at the same locations, the most landslide hazard areas were identified.

scholarly journals Landslide Hazard Assessment and Distribution Mapping of Mountain Region of Nepal: A Case from Triveni Rural Municipality

2020 ◽  
Author(s):  
Tej Raj Oli ◽  
Hari Prasad Pandey ◽  
Shiv Kumar Manjan
Keyword(s):  
Risk Reduction ◽  
Hazard Assessment ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Landslide Hazard ◽  
Rural Municipality ◽  
Distribution Maps ◽  
Distribution Mapping ◽  
Hazard Level ◽  
Landslide Distribution

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.

Promotion of Interdisciplinary and Transdisciplinary Collaboration in Disaster Risk Reduction

2018 ◽  
Vol 13 (7) ◽  
pp. 1193-1198
Author(s):  
Kaoru Takara ◽  
Keyword(s):  
Risk Management ◽  
Risk Reduction ◽  
Volcanic Eruption ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Tsunami Hazard ◽  
Disaster Resilience ◽  
Hazard Map ◽  
River Flooding ◽  
Further Development

This paper describes interdisciplinary and transdisciplinary approaches inevitably necessary for effective disaster risk management, introducing examples involving the tsunami hazard map in Sendai, volcanic eruption in Iceland, and river flooding in Thailand. On the basis of the conversations conducted at the Global Forum on Science and Technology for Disaster Resilience 2017 held at the Science Council of Japan in Tokyo on November 23–25, 2017, this paper summarizes the results of the discussion for further development of these approaches. Some international initiatives are also briefly introduced.

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