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.

Research on Non-Landslide Selection Method for Landslide Hazard Mapping

2021 ◽  
Author(s):  
Xia Li ◽  
Jiulong Cheng ◽  
Dehao Yu ◽  
Yangchun Han
Keyword(s):  
Prediction Accuracy ◽  
Prediction Models ◽  
Selection Method ◽  
Landslide Hazard ◽  
River Channel ◽  
Information Value ◽  
Hazard Mapping ◽  
Landslide Prediction ◽  
Conditioning Factors ◽  
Landslide Hazard Mapping

Abstract Most landslide prediction models need to select non-landslides. At present, non-landslides mainly use subjective inference or random selection method, which makes it easy to select non-landslides in high-risk areas. To solve this problem and improve the accuracy of landslide prediction, the method of selecting non-landslide by Information value (IV) is proposed in this study. Firstly, 230 historical landslides and 10 landslide conditioning factors are extracted and interpreted by using Remote Sensing (RS) image, Geographic Information System (GIS) and field survey. Secondly, random, buffer, river channel or slope, and IV methods are used to obtain non-landslides, and the obtained non-landslides are applied to the popular SVM model for landslide hazard mapping (LHM) in western area of Tumen City. The landslide hazard map based on the river channel or slope method is seriously inconsistent with the actual situation of study area, Therefore, the three methods of random, buffer, and IV are verified and compared by accuracy, receiver operating characteristic (ROC) curve and the area under curves (AUC). The results show that the landslide prediction accuracy of the three methods is more than 80%, and the prediction accuracy is high, but the IV is higher. In addition, IV can identify the very high hazard regions with smaller area. Therefore, it is more reasonable to use IV to select non-landslides, and IV method is more practical in landslide prevention and engineering construction. The research results may be useful to provide basic information of landslide hazard for decision makers and planners.

scholarly journals LANDSLIDE HAZARD MAPPING ALONG RANTEPAO – PALOPO ROAD SECTION, SOUTH SULAWESI PROVINCE

2015 ◽  
Vol 1 (3) ◽  
pp. 93
Author(s):  
Dian Pratiwi Anggeraini
Keyword(s):  
Human Activity ◽  
Spatial Data ◽  
Water System ◽  
Landslide Hazard ◽  
Geographical Information ◽  
Hazard Mapping ◽  
Hazard Map ◽  
The Road ◽  
Road Section ◽  
Landslide Hazard Map

Rantepao – Palopo Road Section is 61 km long, which provides a connection between Palopo City and North Toraja District. Geographically, the road is winding, located in a hilly area with steep canyon. This condition makes the road vulnerable to soil movement or landslide. On 8 November 2009, a landslide, which caused a huge material and immaterial loss, took place. The scale of the disaster was so large that it was classified as a national disaster. In the landslide disaster management, the mitigation and preparedness effort will be more focused if complemented with spatial data in the form of landslide hazard map in Rantepao – Palopo road section. This research uses Public Works Minister Regulation No.22/PRT/M/2007 concerning landslide hazard area spatial planning as the reference which is modified and assisted with the application of Geographical Information System (GIS). Based on the hydro-morphology condition, the research location can be classified into three, namely typology A (> 1000 mdpl), typology B (500 – 1000 mdpl), and typology C (<500 mdpl). Each typology consists of natural physical aspects with slope indicator, soil type, geology, rainfall, distance from the river/slope water system, distance from seismic fault and vegetation. Human activity aspects comprise planting pattern indicator, slope cutting, pond, population density, and mitigation effort. Based on the regulation, several indicators are difficult to apply in the road section study. Therefore, in this research, some modifications are made to several indicators. In the slope cutting indicator, to obtain slope cutting map, overlay process on topography map, slope variation map, and road section map was performed. The distance from the river/slope water system was obtained by calculating the distance from the river to the road, the closer the river to the road, the bigger the vulnerability. Meanwhile, the distance from the fault was evaluated based on the existence of seismic faults in the research location. Landslide hazard map was obtained by applying overlay process to natural physical aspects map and human activity map. To obtain a hazard map for Rantepao – Palopo road section, a modification by applying overlay to road section map and landslide hazard map was performed. Hazard map on Ranteo-Palopo is divided into three types, i.e. low risk, medium risk, and high risk.

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 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 mapping in Nepal: case studies from Lothar Khola (central Nepal) and Syangja district (western Nepal)

2002 ◽  
Vol 26 ◽  
Author(s):  
V. Dangol ◽  
P. D. Ulak
Keyword(s):  
Case Studies ◽  
Soil Cover ◽  
Landslide Hazard ◽  
Hazard Mapping ◽  
Residual Soil ◽  
Hazard Map ◽  
Central Nepal ◽  
Rating Method ◽  
Landslide Hazard Mapping ◽  
Bivariate Statistical Method

The present paper attempts to evaluate the present status of hazard mapping in Nepal and describes the case studies of landslide hazard mapping of the Lothar Khola (central Nepal) and Syangja district (western Nepal) by two different methods: 1. The rating method proposed in the Mountain Risk Engineering (Deoja et al. 1991), and 2. Bivariate Statistical method developed by the Institute of Aerospace Survey and Earth Sciences (ITC). The Netherlands (Van Westen 1997). The first method is a manual one and used to make hazard map of the Lothar Khola watershed while the second one is GIS based and was utilized to produce hazard map of the Syangja district. Potentially unstable slopes were mainly found on the slopes ranging from 26-40°, residual soil cover, and in areas underlain by the slate and phyllite. Interestingly the slope movement is high in the areas covered by forest in comparison to the cultivated slopes.

scholarly journals Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach

2019 ◽  
Vol 33 (1) ◽  
pp. 25-38 ◽  
Author(s):  
Sudaryatno Sudaryatno ◽  
Prima Widayani ◽  
Totok Wahyu Wibowo ◽  
Bagus Wiratmoko ◽  
Wahyu Nurbandi
Keyword(s):  
Landslide Hazard ◽  
Information Value ◽  
Mitigation Strategies ◽  
Slope Aspect ◽  
Hazard Mapping ◽  
Susceptibility Map ◽  
Evidence Based ◽  
Information Value Model ◽  
Landslide Hazard Mapping ◽  
Value Model

Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.

scholarly journals Landslide hazard mapping of Phewa Lake catchment area, Pokhara, central west Nepal

1998 ◽  
Vol 18 ◽  
Author(s):  
S. M. Sikrikar ◽  
L. N. Rimal ◽  
S. Jager
Keyword(s):  
Catchment Area ◽  
Slope Failure ◽  
Empirical Evaluation ◽  
Landslide Hazard ◽  
Slope Instability ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Lake Catchment ◽  
Landslide Hazard Map ◽  
Weighted Values

The landslide hazard map of the Phewa Lake catchment area is based on empirical evaluation of the data related to slope instability, obtained through field investigation and various types of geo-scientific maps. The methodology includes making of different types of base maps of various factor that contribute to slope instability of the terrain. Some weighted values are derived for each factor taken into consideration by statistical analysis. According to their significance in slope failure, different numerical values are assigned to each factors. GIS technique is used for integrating all weighted values into final landslide hazard map. By assessing the total weighted values in the final map, the catchment area is divided into high, medium and low hazard zones according to the chances of occurring landslides at specific area. Most of the existing old and active landslides fall within high hazard zone, which indicate the suitability of this method in preparing landslide hazard map.

scholarly journals Landslide hazard mapping in the Nallu Khola watershed, central Nepal

2000 ◽  
Vol 21 ◽  
Author(s):  
Jagannath Joshi ◽  
Stefan Majtan ◽  
Koichi Morita ◽  
Hiroshi Omura
Keyword(s):  
Drainage Density ◽  
Landslide Hazard ◽  
Field Conditions ◽  
Hazard Mapping ◽  
Slope Gradient ◽  
Central Nepal ◽  
High Hazard ◽  
Landslide Hazard Mapping ◽  
Landslide Hazard Map ◽  
Slope Class

This paper deals with landslide hazard mapping in the Nallu Khola watershed of Central Nepal. The study reveals that slope class 30o-40o is highly susceptible to sliding. The highest landslide density is seen on 35° slope with drainage frequency of 40-50 no./km2 Similarly, the lowest landslide density is found associated with the lowest average slope gradient and lowest drainage density. Landslide hazard map shows that the high, medium, and low hazard areas occupy respectively 20%, 45%, and 35% of the watershed. Similarly, the landslide density is the highest in the cells that are categorised as high hazard. The highest number of landslide containing cells in high hazard rank suggests that the forecasted hazard ranks nearly match with the present field conditions. But there are some areas, where forecasted hazard ranks do not match with the present field conditions.

Sign in / Sign up

Export Citation Format

Share Document