Evaluating seismic risk in small and medium-sized cities with the modified vulnerability index method, a case study in Jiangyou City, China

2019 ◽  
Vol 18 (4) ◽  
pp. 1303-1319 ◽  
Author(s):  
Hao Zheng ◽  
Lanlan Guo ◽  
Jifu Liu ◽  
Tao Zheng ◽  
Zhifei Deng
Keyword(s):  
Seismic Risk ◽  
Vulnerability Index ◽  
Index Method ◽  
Vulnerability Index Method

scholarly journals Seismic risk in the city of Al Hoceima (north of Morocco) using the vulnerability index method, applied in Risk-UE project

2016 ◽  
Vol 85 (1) ◽  
pp. 329-347 ◽  
Author(s):  
Seif-eddine Cherif ◽  
Mimoun Chourak ◽  
Mohamed Abed ◽  
Luis Pujades
Keyword(s):  
Seismic Risk ◽  
Vulnerability Index ◽  
Index Method ◽  
Vulnerability Index Method ◽  
Al Hoceima ◽  
The City

scholarly journals Potential Seismic Damage Assessment of Residential Buildings in Imzouren City (Northern Morocco)

Buildings ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 179 ◽  
Author(s):  
Seif-eddine Cherif ◽  
Mimoun Chourak ◽  
Mohamed Abed ◽  
Abdelhalim Douiri
Keyword(s):  
Seismic Risk ◽  
Seismic Vulnerability ◽  
Residential Buildings ◽  
Site Investigation ◽  
Economic Loss ◽  
Vulnerability Index ◽  
Index Method ◽  
Vulnerability Index Method ◽  
Earthquake Scenarios ◽  
The City

The main purpose of this study is to assess seismic risk and present earthquake loss scenarios for the city of Imzouren, in northern Morocco. An empirical approach was chosen to assess the seismic vulnerability of the existing buildings, using the Vulnerability Index Method (RISK-UE), and considering two earthquake scenarios (deterministic and probabilistic). Special concern was given to the seismic vulnerability in Imzouren since the 2004 earthquake (24 February, mw = 6.4) that struck the region and caused substantial damage. A site investigation was conducted in the city targeting more than 3000 residential buildings, which had been closely examined and catalogued to assess their seismic vulnerability. The results of the seismic risk assessment in the city are represented through damage to the buildings, harm to the population and economic loss. Generally, the results obtained from the deterministic approach are in agreement with the damage caused by the 2004 earthquake.

scholarly journals Vulnerability Assessment of Mangrove Habitat to the Variables of the Oceanography Using CVI Method (Coastal Vulnerability Index) in Trimulyo Mangrove Area, Genuk District, Semarang

2018 ◽  
Vol 31 ◽  
pp. 08004 ◽  
Author(s):  
Rifandi Raditya Ahmad ◽  
Muhammad Fuad
Keyword(s):  
Vulnerability Index ◽  
Sea Waves ◽  
Mangrove Habitat ◽  
Coastal Vulnerability ◽  
Index Method ◽  
Coastal Vulnerability Index ◽  
Vulnerability Index Method ◽  
Mangrove Area ◽  
Coastline Change ◽  
Index Value

Some functions of mangrove areas in coastal ecosystems as a green belt, because mangrove serves as a protector of the beach from the sea waves, as a good habitat for coastal biota and for nutrition supply. Decreased condition or degradation of mangrove habitat caused by several oceanographic factors. Mangrove habitats have some specific characteristics such as salinity, tides, and muddy substrates. Considering the role of mangrove area is very important, it is necessary to study about the potential of mangrove habitat so that the habitat level of mangrove habitat in the east coast of Semarang city is known. The purpose of this research is to obtain an index and condition of habitat of mangrove habitat at location of research based on tidal, salinity, substrate type, coastline change. Observation by using purposive method and calculation of habitat index value of mangrove habitat using CVI (Coastal Vulnerability Index) method with scores divided into 3 groups namely low, medium and high. The results showed that there is a zone of research belonging to the medium vulnerability category with the most influential variables is because there is abrasion that sweeps the mangrove substrate. Trimulyo mangrove habitat has high vulnerable variable of tidal frequency, then based on value variable Salinity is categorized as low vulnerability, whereas for mangrove habitat vulnerability based on variable type of substrate belong to low and medium vulnerability category. The CVI values of mangrove habitats divided into zones 1; 2; and 3 were found to varying values of 1.54; 3.79; 1.09, it indicates that there is a zone with the vulnerability of mangrove habitat at the study site belonging to low and medium vulnerability category.

scholarly journals Seismic Risk Assessment Using Stochastic Nonlinear Models

2020 ◽  
Vol 12 (4) ◽  
pp. 1308 ◽  
Author(s):  
Yeudy Vargas-Alzate ◽  
Nieves Lantada ◽  
Ramón González-Drigo ◽  
Luis Pujades
Keyword(s):  
Seismic Hazard ◽  
Seismic Risk ◽  
Nonlinear Models ◽  
Vulnerability Index ◽  
Seismic Action ◽  
Physical Damage ◽  
Damage Level ◽  
Practical Applications ◽  
Capacity Spectrum

The basic input when seismic risk is estimated in urban environments is the expected physical damage level of buildings. The vulnerability index and capacity spectrum-based methods are the tools that have been used most to estimate the probability of occurrence of this important variable. Although both methods provide adequate estimates, they involve simplifications that are no longer necessary, given the current capacity of computers. In this study, an advanced method is developed that avoids many of these simplifications. The method starts from current state-of-the-art approaches, but it incorporates non-linear dynamic analysis and a probabilistic focus. Thus, the method considers not only the nonlinear dynamic response of the structures, modeled as multi degree of freedom systems (MDoF), but also uncertainties related to the loads, the geometry of the buildings, the mechanical properties of the materials and the seismic action. Once the method has been developed, the buildings are subjected to earthquake records that are selected and scaled according to the seismic hazard of the site and considering the probabilistic nature of the seismic actions. The practical applications of the method are illustrated with a case study: framed reinforced concrete buildings that are typical of an important district, the Eixample, in Barcelona (Spain). The building typology and the district were chosen because the seismic risk in Barcelona has been thoroughly studied, so detailed information about buildings’ features, seismic hazard and expected risk is available. Hence, the current results can be compared with those obtained using simpler, less sophisticated methods. The main aspects of the method are presented and discussed first. Then, the case study is described and the results obtained with the capacity spectrum method are compared with the results using the approach presented here. The results at hand show reasonably good agreement with previous seismic damage and risk scenarios in Barcelona, but the new method provides richer, more detailed, more reliable information. This is particularly useful for seismic risk reduction, prevention and management, to move towards more resilient, sustainable cities.

Evaluation of the Vulnerability Index for Unreinforced Masonry Structures

2012 ◽  
Vol 166-169 ◽  
pp. 1387-1390 ◽  
Author(s):  
Fouzia Djaalali ◽  
Mahmoud Bensaibi ◽  
Noreddine Bourahla
Keyword(s):  
Urban Areas ◽  
Structural Parameters ◽  
Vulnerability Index ◽  
Index Method ◽  
Technical Data ◽  
Vulnerability Index Method ◽  
Existing Structures ◽  
Steel Framing ◽  
The Sixties

Buildings constructed before the sixties in Algerian urban areas, are typically low and mid rise multi-storey buildings made of stone and/or brick masonry walls or infill light steel framing. These types of buildings are known to be vulnerable to seismic effects. Within this paper, an assessment of such existing structures, using the “Vulnerability Index” method is presented. This allows a good classification and description of the seismic quality of the structures taking into account both, structural and non structural parameters considered to be ones of the main parameters governing the vulnerability of the structure. A technical data sheet, including all information that might be used in an associated computer program in Delphi is subsequently developed. The results obtained show that the established classification confirms the observed information in situ.

scholarly journals ANALISIS KERENTANAN PANTAI MARON DAN PANTAI TIRANG KECAMATAN TUGU, KOTA SEMARANG (Analysis of Coastal Vulnerability on the Maron Beach and Tirang Beach at Tugu Subdistrict, Semarang City)

2018 ◽  
Vol 6 (4) ◽  
pp. 555-563
Author(s):  
Danar Prabowo ◽  
Max Rudolf Muskananfola ◽  
Frida Purwanti
Keyword(s):  
Vulnerability Index ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Index Method ◽  
Coastal Vulnerability Index ◽  
Vulnerability Index Method ◽  
Simplified Chinese ◽  
Physical Variables ◽  
Index Value ◽  
Research Show

Pantai Maron dan Pantai Tirang merupakan daerah wisata di wilayah pesisir Semarang. Nilai kerentanan pantai tersebut perlu diketahui agar pemanfaatannya tidak terganggu. Pantai Maron dan Pantai Tirang Kecamatan Tugu, Kota Semarang, dianalisis menggunakan metode CVI (Coastal Vulnerability Index), dilakukan pada bulan Mei sampai dengan Juni 2017. Tujuan penelitian ini adalah mengidentifikasi kondisi kerentanan Pantai Maron dan Pantai Tirang, dan mengetahui nilai indeks kerentanan ekosistem Pantai Maron dan Pantai Tirang, Kecamatan Tugu, Kota Semarang. Metode CVI (Coastal Vulnerabilty Index), dilakukan dengan cara menilai kerentanan pantai pada variabel kemiringan pantai, jarak tumbuhan dari pantai, pasang surut rata-rata, tinggi gelombang rata-rata, dan erosi/akresi pantai berdasarkan tabel indeks kerentanan pantai pada lima sel pantai. Hasil penelitian menunjukkan bahwa nilai CVI Pantai Maron antara 6,45 – 9,13 termasuk dalam kategori kerentanan pantai yang rendah (>20,5), sedangkan nilai CVI Pantai Tirang yaitu 10,21 dan 22,82 termasuk dalam kategori kerentanan rendah dan menengah (20,5 – 25,5). Kesimpulan yang dapat disampaikan adalah nilai kerentanan Pantai Maron dan Pantai Tirang, Kecamatan Tugu, Kota Semarang berdasarkan variabel fisik termasuk dalam kategori rendah dan menengah. Maron and Tirang beaches are tourism area in the coastal area of Semarang. The value of vulnerability of the coast should be known so its utilization will not be disturbed. The Maron Beach and Tirang Beach used Coastal Vulnerability Index method. The research was carried out from Mei to June, 2017. The aims of this study are to identify vurnerability conditions of Maron Beach and Tirang Beach, and to know vulnerability index value of Maron Beach and Tirang Beach, Tugu Subdistrict, Semarang City. CVI method used by scoring coastal vulnerability on variables of coastline slope, plants distance from the coast, average tidal range, average wave height, and coastline changes (accresion/erosion) based on table of coastal vulnerability index at five coastal cells. The research show that the CVI value of the Maron Beach 6,45 into 9,13 that include in the low coastal vulnerability category (<20,5), while CVI value of the Tirang Beach 10,21 and 22,82 that include in the low and middle coastal vulnerability category (20,5-25,5). Conclusion of this research is coastal vulnerability index of Maron Beach and Tirang Beach, Tugu Subdistrict, Semarang City based on physical variables belong to low and middle vulnerability.   GMT Detect languageAfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu AfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu         Text-to-speech function is limited to 200 characters  Options : History : Feedback : DonateClose

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