scholarly journals Development and Application of Urban Landslide Vulnerability Assessment Methodology Reflecting Social and Economic Variables

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Yoonkyung Park ◽  
Ananta Man Singh Pradhan ◽  
Ungtae Kim ◽  
Yun-Tae Kim ◽  
Sangdan Kim
Keyword(s):  
Vulnerability Assessment ◽  
Regional Scale ◽  
Assessment Methodology ◽  
Physical Vulnerability ◽  
Suggested Approach ◽  
Socioeconomic Vulnerability ◽  
Source Areas ◽  
Concrete Frame ◽  
Secondary Damage ◽  
Landslide Event

An urban landslide vulnerability assessment methodology is proposed with major focus on considering urban social and economic aspects. The proposed methodology was developed based on the landslide susceptibility maps that Korean Forest Service utilizes to identify landslide source areas. Frist, debris flows are propagated to urban areas from such source areas by Flow-R (flow path assessment of gravitational hazards at a regional scale), and then urban vulnerability is assessed by two categories: physical and socioeconomic aspect. The physical vulnerability is related to buildings that can be impacted by a landslide event. This study considered two popular building structure types, reinforced-concrete frame and nonreinforced-concrete frame, to assess the physical vulnerability. The socioeconomic vulnerability is considered a function of the resistant levels of the vulnerable people, trigger factor of secondary damage, and preparedness level of the local government. An index-based model is developed to evaluate the life and indirect damage under landslide as well as the resilience ability against disasters. To illustrate the validity of the proposed methodology, physical and socioeconomic vulnerability levels are analyzed for Seoul, Korea, using the suggested approach. The general trend found in this study indicates that the higher population density areas under a weaker fiscal condition that are located at the downstream of mountainous areas are more vulnerable than the areas in opposite conditions.

scholarly journals Probabilistic identification of rockfall source areas at regional scale in El Hierro (Canary Islands, Spain)

Geomorphology ◽  
2021 ◽  
Vol 381 ◽  
pp. 107661
Author(s):  
Mauro Rossi ◽  
Roberto Sarro ◽  
Paola Reichenbach ◽  
Rosa María Mateos
Keyword(s):  
Canary Islands ◽  
Regional Scale ◽  
Source Areas ◽  
El Hierro

scholarly journals Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Stefania Stevenazzi ◽  
Marco Masetti ◽  
Giovanni Pietro Beretta
Keyword(s):  
Land Use Planning ◽  
Vulnerability Assessment ◽  
Industrial Development ◽  
Regional Scale ◽  
Scientific Progress ◽  
Groundwater Vulnerability ◽  
Anthropogenic Sources ◽  
Plain Area ◽  
Groundwater Vulnerability Assessment ◽  
Vulnerability Maps

Groundwater is among the most important freshwater resources. Worldwide, aquifers are experiencing an increasing threat of pollution from urbanization, industrial development, agricultural activities and mining enterprise. Thus, practical actions, strategies and solutions to protect groundwater from these anthropogenic sources are widely required. The most efficient tool, which helps supporting land use planning, while protecting groundwater from contamination, is represented by groundwater vulnerability assessment. Over the years, several methods assessing groundwater vulnerability have been developed: overlay and index methods, statistical and process-based methods. All methods are means to synthesize complex hydrogeological information into a unique document, which is a groundwater vulnerability map, useable by planners, decision and policy makers, geoscientists and the public. Although it is not possible to identify an approach which could be the best one for all situations, the final product should always be scientific defensible, meaningful and reliable. Nevertheless, various methods may produce very different results at any given site. Thus, reasons for similarities and differences need to be deeply investigated. This study demonstrates the reliability and flexibility of a spatial statistical method to assess groundwater vulnerability to contamination at a regional scale. The Lombardy Plain case study is particularly interesting for its long history of groundwater monitoring (quality and quantity), availability of hydrogeological data, and combined presence of various anthropogenic sources of contamination. Recent updates of the regional water protection plan have raised the necessity of realizing more flexible, reliable and accurate groundwater vulnerability maps. A comparison of groundwater vulnerability maps obtained through different approaches and developed in a time span of several years has demonstrated the relevance of the continuous scientific progress, recognizing strengths and weaknesses of each research.

A probabilistic model for assessing debris flow propagation at regional scale: a case study in Campania region, Italy

2021 ◽  
Author(s):  
Luca Crescenzo ◽  
Gaetano Pecoraro ◽  
Michele Calvello ◽  
Richard Guthrie
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Regional Scale ◽  
Erosion And Deposition ◽  
Campania Region ◽  
Source Areas ◽  
Model Input ◽  
Travel Path ◽  
Debris Avalanches ◽  
Modelling Approach

<p>Debris flows and debris avalanches are rapid to extremely rapid landslides that tend to travel considerable distances from their source areas. Interaction between debris flows and elements at risk along their travel path may result in potentially significant destructive consequences. One of the critical challenges to overcome with respect to debris flow risk is, therefore, the credible prediction of their size, travel path, runout distance, and depths of erosion and deposition. To these purposes, at slope or catchment scale, sophisticated physically-based models, appropriately considering several factors and phenomena controlling the slope failure mechanisms, may be used. These models, however, are computationally costly and time consuming, and that significantly hinders their applicability at regional scale. Indeed, at regional scale, debris flows hazard assessment is usually carried out by means of qualitative approaches relying on field surveys, geomorphological knowledge, geometric features, and expert judgement.</p><p>In this study, a quantitative modelling approach based on cellular automata methods, wherein individual cells move across a digital elevation model (DEM) landscape following behavioral rules defined probabilistically, is proposed and tested. The adopted model, called LABS, is able to estimate erosion and deposition soil volumes along a debris flow path by deploying at the source areas autonomous subroutines, called agents, over a 5 m spatial resolution DEM, which provides the basic information to each agent in each time-step. Rules for scour and deposition are based on mass balance considerations and independent probability distributions defined as a function of slope DEM-derived values and a series of model input parameters. The probabilistic rules defined in the model are based on data gathered for debris flows and debris avalanches that mainly occurred in western Canada. This study mainly addresses the applicability and the reliability of this modelling approach to areas in southern Italy, in Campania region, historically affected by debris flows in pyroclastic soils. To this aim, information on inventoried debris flows is used in different study areas to evaluate the effect on the predictions of the model input parameter values, as well as of different native DEM resolutions.</p>

A Novel Framework for Landslide Risk Assessment in Mt. Umyeon, Korea

2020 ◽  
Author(s):  
Ba-Quang-Vinh Nguyen ◽  
Seung-Rae Lee ◽  
Yun-Tae Kim
Keyword(s):  
Risk Assessment ◽  
Hazard Analysis ◽  
Risk Index ◽  
Landslide Risk ◽  
Assessment Framework ◽  
Physical Vulnerability ◽  
Vulnerability Curve ◽  
Landslide Event ◽  
Landslide Risk Assessment ◽  
Risk Assessment And Management

<p>This study developed a novel landslide risk assessment framework to analyze landslide risk in Mt. Umyeon, Korea. The proposed framework included four main procedures: (1) Landslide hazard analysis using an ensemble statistical and physical model, (2) Analysis of physical vulnerability from vulnerability curve, (3) Analysis of physical vulnerability from semi-quantitative approach, (4) Risk index calculation from the results of previous steps using a proposed equation. The results of each step were compared to real landslide events occurred in July 2011 at Mt. Umyeon, Korea to confirm the reliability of the proposed risk assessment framework. The risk maps also were compared to real landslide event and showed that the proposed framework was successful in assessment of landslide risk at Mt. Umyeon, Korea. The new concept in landslide risk assessment of this study provides reliable decision-making in landslide risk assessment and management.</p>

scholarly journals Resiko Kerentanan Masyarakat Perkotaan Terhadap Bahaya Banjir di Kelurahan Margagiri, Kecamatan Bojonegara, Kabupaten Serang

2020 ◽  
Vol 4 (1) ◽  
pp. 62-76
Author(s):  
Arta Rusidarma Putra ◽  
S Silfiana
Keyword(s):  
Random Sampling ◽  
Quantitative Methods ◽  
Secondary Data ◽  
Simple Random Sampling ◽  
School Level ◽  
Primary Data ◽  
Physical Aspect ◽  
River Channels ◽  
Physical Vulnerability ◽  
Socioeconomic Vulnerability

Penelitian ini bertujuan untuk menganalisis kerentanan sosial ekonomi, dan bangunan fisik masyarakat perkotaan terhadap bencana banjir di Kelurahan Margagiri, Kecamatan Bojonegara Kabupaten Serang Provinsi Banten. Metode yang digunakan dalam penelitian ini metode campuran kualitatif dan kuantitatif. Data yang digunakan data primer dan data sekunder. Data primer dikumpulkan dengan observasi langsung di lapangan dan wawancara berstruktur dengan responden yang dipilih secara random dengan teknik simple random sampling. Wawancara dilakukan terhadap 90 kepala rumah tangga dari total populasi 483 kepala rumah tangga. Sedangkan data sekunder diperoleh dari berbagai dokumen dan instansi terkait yang dianggap berkompeten. Hasil penelitian menujukkan bahwa berdasarkan hasil interpolasi kedalaman banjir yang terkena dampak banjir berada di sebagian besar wilayah bagian timur penelitian dengan kedalaman maksimum 1,5 meter. Berbagai faktor yang dapat menyebabkan banjir, seperti kondisi topografi yang lebih rendah, penyempitan sungai, tersumbatnya drainase dan tersumbatnya saluran sungai yang menyebabkan terhambatnya aliran sungai yang mengalir ke outlet utama. Hasil penelitian ini juga menunjukkan bahwa kerentanan sosial ekonomi yang lebih tinggi ditemukan pada tingkat pendidikan dominan yang rendah yaitu tingkat sekolah dasar (SD) (40,42%) dan elemen penduduk rentan karena usia lanjut dan anak-anak sebanyak 30,09 %. Sementara itu, temuan penelitian lainnya berkaitan dengah kerentanan fisik, menunjukkan bahwa tingkat kerentanan tinggi aspek fisik sebanyak 32 bangunan, kerentanan tingkat sedang aspek fisik ebanyak 43 bangunan, dan kerentanan tingkat rendah sebanyak 25 bangunan. Serta tingkat kerentanan sedang hingga tinggi didominasi oleh jenis bangunan non tembok. Kata Kunci: Masyarakat Perkotaan, Kerentanan Sosial Ekonomi, Kerentanan Fisik, Bahaya Banjir ABSTRACT This study aims to analyze the socio-economic and physical building vulnerability of urban communities against flooding in Margagiri Village, Bojonegara District, Serang Regency, Banten Province. The method used in this study was a mixture of qualitative and quantitative methods. The data used were primary data and secondary data. Primary data were collected by direct observation in the field and structured interviews with respondents randomly selected by simple random sampling technique. Interviews were conducted with 90 heads of households from a total population of 483 heads of households. Meanwhile, secondary data were obtained from various documents of related institutions that is considered to be competent. The results of study showed that based on the results of interpolation the depth of floods affected by flooding was in most of the eastern part of the study with a maximum depth of 1.5 meters. Various factors can cause flooding, such as lower topographic conditions, river narrowing, drainage clogging and blockage of river channels which causes obstruction of river flow flowing to the main outlet. The results of this study also showed that higher socioeconomic vulnerability was found at the low predominant level of education, namely elementary school level (40.42%) and elements of the vulnerable population due to old age and children as much as 30.09%. Meanwhile, other research findings related to physical vulnerability, showed that the high level of physical aspect vulnerability was 32 buildings, the moderate level of physical vulnerability was 43 buildings, and the low level vulnerability was 25 buildings. Keywords: Urban community, socioeconomic vulnerability, physical vulnerability, flood hazarrd 

scholarly journals PHYSICAL SEISMIC VULNERABILITY ASSESSMENT OF TEHRAN USING THE INTEGRATION OF GRANULAR COMPUTING AND INTERVAL DEMPSTER- SHAFER

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 469-477
Author(s):  
M. R. Delavar ◽  
M. Bahrami ◽  
M. Zare
Keyword(s):  
Vulnerability Assessment ◽  
Granular Computing ◽  
Seismic Vulnerability ◽  
Interval Computation ◽  
Combination Rule ◽  
Effective Parameters ◽  
Physical Vulnerability ◽  
Seismic Vulnerability Assessment ◽  
Vulnerability Map

Several faults exist in the vicinity of Tehran, the capital of Iran such as North Tehran, Ray, Mosha and Kahrizak. One way to assist reducing the damage caused by the earthquake is the production of a seismic vulnerability map. The study area in this research is Tehran, based on the assumption of the activation of North Tehran fault. Degree of Physical seismic vulnerability caused by the earthquake depends on a number of criteria. In this study the intensity of the earthquake, land slope, numbers of buildings’ floors as well as their materials are considered as the effective parameters. Hence, the production of the seismic vulnerability map is a multi criteria issue. In this problem, the main source of uncertainty is related to the experts’ opinions regarding the seismic vulnerability of Tehran statistical units. The main objectives of this study are to exploit opinions of the experts, undertaking interval computation and interval Dempster-Shafer combination rule to reduce the uncertainty in the opinions of the experts and customizing granular computing to extract the rules and to produce Tehran physical seismic vulnerability map with a higher confidence. Among 3174 statistical units of Tehran, 150 units were randomly selected and using interval computation, their physical vulnerabilities were determined by the experts in earthquake-related fields. After the fusion of the experts’ opinions using interval Dempster-Shafer, the information table is prepared as the input to granular computing and then rules are extracted with minimum inconsistency. Finally, the seismic physical vulnerability map of Tehran was produced with % 72 accuracy.

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