Determination of Buildings Period and Vulnerability Index Using Microtremor Measurements

2015 ◽  
Author(s):  
E. Timur ◽  
S. Ozicer ◽  
C. Sari ◽  
O. Uyanik
Keyword(s):  
Vulnerability Index ◽  
Microtremor Measurements

scholarly journals Application of livelihood vulnerability index in evaluating household’s livelihood vulnerability to climate change in Can Gio district, Ho Chi Minh city, Vietnam

2021 ◽  
Vol 63 (3) ◽  
pp. 78-84
Author(s):  
Nguyen Phuong Tan Le ◽  
◽  
Nguyen Khoi Dao ◽  
Keyword(s):  
Climate Change ◽  
Vulnerability Index ◽  
Coastal Areas ◽  
Livelihood Strategies ◽  
Ho Chi Minh City ◽  
Viet Nam ◽  
Climate Conditions ◽  
Demographic Profile ◽  
Vulnerability To Climate Change

Climate change has directly and indirectly affected the livelihood of households that rely on climate conditions for their livelihood in the coastal areas of Vietnam. This study applied the livelihood vulnerability index (LVI) to assess the vulnerability of a household’s livelihood under the effect of climate change in one of the most highly vulnerable areas of Viet Nam - the Can Gio coastal district of Ho Chi Minh city. Based on a survey of 107 households within six communes and one town located in the Can Gio district, the LVI was calculated at both district and commune scales. The results reveal that the district of Can Gio is at a moderate vulnerability level (LVI=0.303), while the Ly Nhon commune (LVI=0.334) is the most vulnerable of the seven surveyed areas. Additionally, the aspects of livelihood strategies (0.516), socio-demographic profile (0.391), and food (0.385) are critical to the determination of the livelihood vulnerability of the seven surveyed communes.

scholarly journals Towards a national adaptation strategy in view of climate changes

2004 ◽  
Vol 5 (1) ◽  
pp. 29
Author(s):  
E. DOUKAKIS
Keyword(s):  
Sea Level ◽  
21St Century ◽  
Climate Changes ◽  
National Development ◽  
Vulnerability Index ◽  
Adaptation Strategy ◽  
Legal Action ◽  
Coastal Regions ◽  
The Impact

The continuously increasing emissions of CO2 and Methane result in the enhanced greenhouse effect. The IPCC assessments for the 21st century refer to a 3oC increase in temperature and 50 cm rise in sea level on average. It is therefore understood that every nation must create a National Adaptation Strategy to face the impacts of the forthcoming climate changes. For Greece, an adaptation plan should include:The vulnerability index of the coastal regions according to the national development plan.The determination of the procedures towards adaptation in view of climate changes.The determination of the national criteria to face extreme phenomena due to anthropogenic climate changes.The technical and legal action plans.The responsibility of the various public sectors to overcome gaps or overlaps in the actions to mitigate the impact andThe general national adaptation principles.The presentation analyses all the above concepts and proposes specific guidelines to formulate a Greek National Adaptation Strategy to mitigate the impacts of anthropogenic climate changes.

scholarly journals Microzonation of Probolinggo Fault Using Microtremor as an Effort for Earthquake Disaster Mitigation

2021 ◽  
Vol 936 (1) ◽  
pp. 012026
Author(s):  
Juan Pandu Gya Nur Rochman ◽  
Amien Widodo ◽  
Dwa Desa Warnana ◽  
Wien Lestari ◽  
Mariyanto ◽  
...  
Keyword(s):  
Natural Frequency ◽  
Seismic Wave ◽  
Seismic Vulnerability ◽  
Active Fault ◽  
Vulnerability Index ◽  
Disaster Mitigation ◽  
Geophysical Method ◽  
Western Area ◽  
Microtremor Measurements ◽  
Measurement Area

Abstract Earthquake can be caused by several things, one of which is due to an active fault. To mitigate earthquake disasters that can be caused by the Probolinggo Fault, measurement of the microtremor geophysical method is carried out to analyze seismic vulnerability. In this study, the microtremor measurements were carried out on 30 measurement points. The data obtained from measurements are then processed using EasyHVSR software to obtain natural frequency (f0) and natural amplification (A0) values. This value is then used to create a microtremor microzonation map, which is seismic vulnerability index, based on natural frequency and amplification . it founded that low natural frequency mostly founded on eastern of measurement area, caused by thick sedimentary from Lamongan volcanic. High amplification mostly founded from middle to western area, and high seismic vulnerability index founded on western of measurement area, include Maron and Krucil Sub-district. It means seismic wave can very destructive on those area.

scholarly journals Vulnerability of Miangas Island

2018 ◽  
Vol 7 (1) ◽  
pp. 56
Author(s):  
Maartianus S. Baroleh ◽  
Achmad Fahrudin ◽  
Rokhmin Dahuri ◽  
Setyo Budi Susilo ◽  
Daniel Monintja
Keyword(s):  
Dynamic Model ◽  
Vulnerability Index ◽  
Static Model ◽  
Small Island ◽  
Environmental Vulnerability ◽  
Index Model ◽  
Scaling Parameters ◽  
Very High ◽  
Environmental Vulnerability Index

There are several methods of analysis in knowing the vulnerability of a community. In the analysis to determine the vulnerability of Miangas island, the determinant vulnerability was used. Determinant vulnerability evaluation is very easy to use and simple. Therefore, the determinants of ordinary vulnerabilities use an assessment of resources that are carried out in full, so that results can be used as reference for management. One approach that is widely used in determining the index is the method of scaling parameters into certain values. These values are expressed as a score of a parameter. As done by (Tahir 2010) referred to in Doukakis (2005) and Rao et al. (2008), the Miangas Island analysis refers to the determination of the paramater scale and the weight of the vulnerability.          The vulnerability index model constructed in this study consists of a static model of environmental vulnerability index and dynamic model of small island environmental vulnerability index. The static model of the environmental vulnerability index is intended to calculate the current vulnerability index (momentary), while the dynamic model of the environmental vulnerability index is used to predict the vulnerability dynamics in the future. In general, the values of IK-PPK = IE x IS / IAC = 4.29 x 2.35 / 1.6 = 6.30 By using these maximum and minimum values, the scale of assessment of the vulnerability of small islands is divided into 4 categories of vulnerability (Doukakis 2005), Miangas Island is obtained as follows; 0.20-6.04 = Low vulnerability, 6.05 -18.18 = Moderate vulnerability, 18.19-40.48 = High vulnerability (high), 40.49-76.00 = Very high vulnerability (very high). That there is a vulnerability with a moderate position.Keywords:  vulnerability, index, determinant, MiangasABSTRAKAda beberapa metode analisis dalam mengetahui kerentanan suatu komunitas.  Dalam analisis untuk mengetahui kerentanan pulau Miangas maka digunakan kerentanan determinan. Evaluasi kerentanan determinan sangat mudah digunakan dan sederhana. Oleh karna itu, determinan kerentanan biasa menggunakan assessment terhadap sumberdaya yang dilakukan secara utuh, sehingga hasil dapat dijadikan bahan acuan terhadap pengelolaan.   Salah satu pendekatan yang banyak digunakan dalam penentuan indeks adalah metode penskalaan parameter ke dalam nilai-nilai tertentu.  Nilai-nilai tersebut dinyatakan sebagai nilai skor dari suatu parameter.  Sebagaimana yang dilakukan oleh (Tahir 2010) yang diacu dalam Doukakis (2005) dan Rao et al. (2008) maka pada analisis Pulau Miangas mengacu penentuan skala paramater dan bobot kerentanan tersebut.Model indeks kerentanan yang dikonstruksi dalam penelitian ini terdiri dari model statis indeks kerentanan lingkungan dan model dinamik indeks kerentanan lingkungan pulau-pulau kecil.  Model statis indeks kerentanan lingkungan dimaksudkan untuk menghitung indeks kerentanan saat ini (sesaat), sedangkan model dinamik indeks kerentanan lingkungan digunakan untuk melakukan prediksi dinamika kerentanan pada masa yang akan datang. Secara umum didapatkan nilai IK-PPK = IE x IS/IAC =  4,29 x 2,35 /1,6 = 6,30. Dengan menggunakan nilai maksimum dan minimum tersebut, skala penilaian tingkat kerentanan pulau-pulau kecil dibagi menjadi 4 kategori kerentanan (Doukakis 2005) maka Pulau Miangas didapatkan sebagai berikut; 0.20-6.04 = Kerentanan rendah (low), 6.05-18.18 = Kerentanan sedang (moderate), 18.19-40.48 = Kerentanan tinggi (high), 40.49-76.00 =         Kerentanan sangat tinggi (very high). bahwa ada kerentanan dengan posisi moderate.Kata kunci :  kerentanan, determinan, indeks, Miangas

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