Community vulnerability assessment index for flood prone savannah agro-ecological zone: A case study of Wa West District, Ghana

Antwi, Effah Kwabena; Boakye-Danquah, John; Owusu, Alex Barima; Loh, Seyram Kofi; Mensah, Ruby; Boafo, Yaw Agyeman; Apronti, Priscilla Toloo

doi:10.1016/j.wace.2015.10.008

Cited by 72 publications

(36 citation statements)

References 18 publications

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“…The sensitivity is the degree to which a system is affected detrimentally or beneficially, directly or indirectly [4], commonly considered viafollowing aspects: society [14 -17], economic [12,13,16,17], environment [9,11,12,16] and land use [11,13] presenting natural and social conditions. Society Population density reflect the distribution and size of population in the investigated area.…”

Section: Factors Reflecting the Sensitivity (S)mentioning

confidence: 99%

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Establishing vulnerability indicators to inundation in the context of the climate change

Le¹,

Le²,

Nguyen³

2019

Sci. Tech. Dev. J. - Nat. Sci.

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Abstract-Flooding is a concern phenomenon, especially in the context of climate change (CC) and sea level rise. This work aimed to establish indicators used to assess vulnerability (V) due to inundation on the basis of considering the exposure (E), sensitivity (S) and adaptive capacity (AC) of a system. By literature review, data analysis, and expert methods, 33 indicators for assessing vulnerability due to inundation were established, including 4 E, 11 S (divided into 4 groups: society, economic, environment, and land use), and 18 AC indicators (divided into 4 groups: human, financial, infrastructure, and society). This work resulted in an important basis for comprehensive evaluation of vulnerability due to inundation in the context of CC and proposing suitable solutions.

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Section: Factors Reflecting the Sensitivity (S)mentioning

confidence: 99%

“…Economic was one of the most vulnerable aspects due to CC, natural disasters, especially inundation [12,13,16,17]. The vulnerability was considered by the negative effects related main sectors (agriculture, aquaculture, industry, or trade and service).…”

Section: Economicmentioning

confidence: 99%

Establishing vulnerability indicators to inundation in the context of the climate change

Le¹,

Le²,

Nguyen³

2019

Sci. Tech. Dev. J. - Nat. Sci.

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“…Analisis Karakteristik Ancaman Longsor Analisis dilakukan dengan menggunakan indeks ancaman longsor hasil skoring dan overlay variabel penyebab longsor dengan sistem pengkelasan Natural Break (Jenks), dikelaskan menjadi 3 indeks, yaitu: rendah, sedang dan tinggi. (Modifikasi dari BNPB, 2016); Raghunvanshi et al, 2014;Arsyad, 1989dan Palladino et al, 2017 (Modifikasi dari BNPB, 2012;Shariful, Shahidul, & Swapan, 2013;Xiaoyan & Xiaofei, 2012); Cutter et al, 2003;Fatemi et al, 2017;Kwabena et al, 2015) Jenis …”

Section: Data Dan Metodeunclassified

“…Baik kuesioner individu masyakarat dan pemerintah diuji validitas dan reabilitasnya. Kwabena et al, 2015) Jumlah Individu Masyarakat Kapasitas Tinggi Tingkat…”

Section: Tabel 1 Bobot Faktor Penentu Ancaman Longsor Metode Determiunclassified

Kajian Risiko Bencana Longsor Kecamatan Loano Kabupaten Purworejo

Widiastutik

Bukhori²

2018

pwk

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Kecamatan Loano berada di bagian timur-selatan Kabupaten Purworejo, merupakan daerah rawan longsor yang disertai kondisi sosial ekonomi yang menambah kerentanannya. Studi ini bertujuan untuk mengkaji risiko bencana longsor, cakupan kajian meliputi karakteristik ancaman, kerentanan {sosial ekonomi & fisik lingkungan, kapasitas (respon lingkungan)} serta risiko bencana. Pengolahan data menggunakan software ArcGIS dan SPSS. Secara fisik alam, ancaman risiko longsor bervariasi yaitu 21,36 km2 (40,09%) indeks rendah, 13.14 km2 (24,66%) sedang dan 18,78 km2 (35,25%) tinggi. Indeks kerentanan sosial ekonomi & fisik lingkungan terdiri dari 3 desa indeks rendah, 11 desa sedang dan 7 desa tinggi. Karakteristik kapasitas (respon lingkungan) diambil dengan menggunakan kuesioner individu masyarakat dan pemerintah desa. Karakteristik kapasitas (respon lingkugan)-nya adalah 14 desa indeks rendah, 4 desa sedang dan 3 desa tinggi. Kerentanan secara holistickyang merupakan jumlah total kerentanan sosial ekonomi & fisik lingkungan serta kapasitas (respon lingkungan) terdapat 3 desa indeks rendah, 4 desa sedang dan 14 desa tinggi. Tingkat risiko bencana longsor bervariasi, terdiri dari rendah 6,72 km2 (12,62%) , sedang 24,59 km2 (46,15%) hingga tinggi 21,96 km2 (41,23%). Risiko longsor yang tinggi perlu dikurangi dengan menurunkan kerentananya. Selanjutnya, diharapkan metode ini dapat diterapkan di wilayah lainnya yang memiliki karakteristik hampir sama dengan Kecamatan Loano.

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“…The form of this particular weighting equation is justified on the basis that the key vulnerability to be assessed is socio-economic (Antwi et al, 2015), where the degree of impact is directly related to the physical parameters defining the frequency and intensity of flooding.…”

Section: Flood Vulnerability Indexmentioning

confidence: 99%

Flood vulnerability indices and emergency management planning in the Yazoo Basin, Mississippi

Zachos

Swann

Altinakar

et al. 2016

International Journal of Disaster Risk Reduction

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Community vulnerability assessment index for flood prone savannah agro-ecological zone: A case study of Wa West District, Ghana

Cited by 72 publications

References 18 publications

Establishing vulnerability indicators to inundation in the context of the climate change

Establishing vulnerability indicators to inundation in the context of the climate change

Kajian Risiko Bencana Longsor Kecamatan Loano Kabupaten Purworejo

Flood vulnerability indices and emergency management planning in the Yazoo Basin, Mississippi

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