scholarly journals Banjir Rob : Potensi Kerentanan Lingkungan serta Penanggulangannya

2016 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Zuardin Zuardin

Banjir pasang atau yang lebih dikenal dengan istilah rob merupakan banjir yang terjadi karena naiknya air laut dan menggenangi daratan ketika air laut mengalami pasang sehingga menyebabkan kerentanan lingkungan. Namun demikian, untuk kondisi atau tempat tertentu, yaitu di daerah terbangun, banjir pasang ini terjadi menyusul perubahan penggunaan lahan dan penurunan muka tanah karena beban bangunan fisik. Kerentanan lingkungan yang dapat ditimbulkan diantaranya kerentanan fisik (physical vulnerability), kerentanan sosial (social vulnerability), serta kerentanan ekonomi (economic vulnerability). Untuk penanggulangannya dapat dilakukan dengan beberapa pendekatan diantaranya ialah ketahanan struktural, ketahanan sosial, ketahanan ekonomi, mitigasi struktural dan mitigasi non-struktural.

2015 ◽  
Vol 3 (1) ◽  
pp. 60
Author(s):  
Andhi Pratama Putra

<p><span style="font-family: Calibri;">Letak kedekatan lokasi geografis dengan lempeng tektonik <em>Eurasian</em> dan <em>Indo-Australian</em> membawa konsekuensi logis terhadap tingginya resiko kebencanaan, terutama gempa dan tsunami, bagi Indonesia. Kota Mataram yang merupakan ibukota Provinsi Nusa Tenggara Barat merupakan salah satu wilayah yang perlu mendapatkan perhatian khusus terhadap resiko bencana tsunami. Sebagai langkah awal, identifikasi lokasi yang paling rentan terhadap resiko bencana tsunami perlu dilakukan dengan memadukan aspek-aspek fisik, sosial dan ekonomi. Penelitian ini bertujuan mengidentifikasikan lokasi paling rentan terhadap resiko bencana tsunami di Kota Mataram dengan menggunakan analisa sistem informasi geografis (<em>GIS</em>). Penilaian dilakukan dengan mengembangkan Indeks Gabungan (<em>Composite Index</em>) berupa <em>Total Vulnerability Index</em> (<em>TVI</em>) yang merupakan kombinasi Indeks Kerentanan Fisik/ <em>Physical Vulnerability Index</em> (<em>PVI</em>), Indeks Kerentanan Sosial/ <em>Social Vulnerability Index</em> (<em>SVI</em>) dan Indeks Kerentanan Ekonomi/ <em>Economic Vulnerability Index</em> (<em>EVI</em>). Hasil analisis berhasil menemukenali bahwa Kota Tua Ampenan merupakan wilayah di Kota Mataram dengan nilai indeks gabungan tertinggi yang mencerminkan tingkat kerentanan yang paling tinggi.</span></p>


2021 ◽  
Author(s):  
Leah R. Handwerger ◽  
Jennifer R. Runkle ◽  
Ronald Leeper ◽  
Elizabeth Shay ◽  
Kara Dempsey ◽  
...  

Abstract Appalachia is a cultural region in the southern and central Appalachian Mountains that lags behind the nation in several social vulnerability indicators. Climate projections over this region indicate that precipitation variability will increase in both severity and frequency in future decades, suggesting that the occurrence of natural hazards related to hydroclimate extremes will also increase. The objective of this study was to investigate the spatiotemporal patterns of drought and precipitation and determine how trends overlap with vulnerable communities across Appalachia. The study utilized trend analysis through Mann-Kendall calculations and a Social Vulnerability Index, resulting in a bivariate map that displays areas most susceptible to adverse effects from hydroclimate extremes. Results show the southwestern portion of the region as most vulnerable to increased precipitation, and the central-southeast most vulnerable to an increase in drought-precipitation variability. This study is among the first to utilize the boundaries defined by the Appalachian Regional Commission from a climatological perspective, allowing findings to reach audiences outside the scientific community and bring more effective mitigation strategies that span from the local to federal levels.


Geosciences ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 294 ◽  
Author(s):  
Clémence Guillard-Gonçalves ◽  
José Zêzere

In this work residents’ social vulnerability and buildings’ physical vulnerability of the Loures municipality (Portugal) were combined to locate the areas where the vulnerability is the highest, and to analyse the landslide risk. The social vulnerability of Loures was assessed using the Geographic Basis for Information Reference (BGRI) terrain units by combining sensitivity and lack of resilience based on the population and housing Census 2011 data. The physical vulnerability was assessed in a previous study based on an inquiry of a pool of European landslide experts and a sub-pool of landslide experts who know the study area. A matrix approach was used to cross the classes of the social and physical vulnerabilities. Finally, the landslide risk was analysed for each terrain unit considering the combined vulnerability, the buildings’ economic value and the landslide susceptibility for a specific landslide magnitude (3-metre-deep rotational slide). Results show that 0.9% of the population reside in the area of the municipality where 75% of the future landslide should occur, and 0.8% of the buildings of the municipality—which represent a value of EUR 146,170,000—are also located in this dangerous area. This approach is reproducible: the risk analysis can be applied for another magnitude scenario in Loures, and the combined vulnerability can be assessed in any Portuguese municipality thanks to the availability of the data.


2021 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
Fitria Nucifera ◽  
Sutanto Trijuni Putro ◽  
Sakinatul Afidah

Tsunami occurrence in Indonesia has continued to increase until 2018. The southern coast of Java is one of the tsunami-prone areas because it is located in a subduction zone. Study location is Sadeng coastal area which is located in the south coast of DIY Province. Disaster vulnerability studies at the household level is still limited, so this paper aims to identify physical and social vulnerability to tsunami hazard at the household level. The data of this research was obtained by invterviewing household respondents and observing physical condition of building. Identification of physical vulnerability was performed using modified SCHEMA and PTVA-3 method, while social vulnerability assessment considered demographic and socio-economic parameters. Total vulnerability was retrieved from matrix analysis of physical and social vulnerability classification. The study shows that 64 % households in Sadeng coastal areas are classified to moderate vulnerability, 30% of households are high vulnerability and 6 % of households are low vulnerability.  High vulnerability is characterized by households which occupy non-permanent houses, have no economic assets, and have a high dependency ratio. Moderate vulnerability is characterized by households which occupy semi-permanent house, have economic assets, but have high dependency ratio. Low vulnerability is characterized by households which live in government-owned buildings, have economic assets, and have low dependency ratio. Keywords: tsunami, vulnerability, building`s physical vulnerability, social vulnerabilityKejadian tsunami di Indonesia terus mengalami peningkatan hingga tahun 2018. Pesisir selatan Jawa merupakan salah satu kawasan yang terpapar bahaya tsunami karena terletak pada zona subduksi. Lokasi kajian adalah kawasan pesisir Sadeng yang berlokasi di pesisir selatan Propinsi DIY. Kajian kerentanan bencana di tingkat rumah tangga belum banyak dilakukan, sehingga tulisan ini bertujuan untuk melakukan identifikasi kerentanan fisik bangunan dan sosial terhadap bencana tsunami di tingkat rumah tangga. Perolehan data penelitian dilakukan dengan wawancara responden rumahtangga dan observasi kondisi fisik bangunan. Identifikasi kerentanan fisik bangunan dilakukan dengan metode SCHEMA dan PTVA-3 yang dimodifikasi, sedangkan penilaian kerentanan sosial mempertimbangkan parameter kependudukan dan sosial ekonomi. Nilai total kerentanan diperoleh dari analisis matriks klasifikasi kerentanan sosial dan fisik bangunan. Kajian menunjukkan bahwa sebesar 64 % rumahtangga di kawasan pesisir Sadeng termasuk dalam kelas kerentanan sedang, 30 % rumahtangga dalam kerentanan tinggi dan 6 % rumahtangga dalam kerentanan rendah. Tingkat kerentanan tinggi dicirikan dengan rumahtangga yang menempati rumah tinggal non-permanen, tidak memiliki asset ekonomi, dan memiliki angka ketergantungan yang tinggi. Tingkat kerentanan sedang dicirikan dengan rumahtangga yang menempati rumah tinggal semi permanen, memiliki asset ekonomi namun memiliki angka ketergantungan yang tinggi. Tingkat kerentanan rendah dicirikan dengan rumahtangga yang tinggal pada bangunan milik pemerintah, memiliki asset ekonomi, dan memiliki angka ketergantungan yang rendah.  Kata kunci: tsunami, kerentanan, kerentanan fisik bangunan, kerentanan sosial


Author(s):  
Jun Yang ◽  
Silu Ma ◽  
Yongwei Song ◽  
Fei Li ◽  
Jingcheng Zhou

In the field of environmental health risk assessment and management research, heavy metals in soil are a constant focus, largely because of mining and metallurgical activities, and other manufacturing or producing. However, systematic vulnerability, and combined research of social and physical vulnerability of the crowd, have received less attention in the research literature of environmental health risk assessment. For this reason, tentative design modelling for comprehensive environmental health vulnerability, which includes the index of physical and social vulnerability, was conducted here. On the basis of experimental data of heavy-metal pollution in soil and vegetables, and population and societal survey data in Daye, China, the physical, social, and comprehensive environmental health vulnerabilities of the area were analyzed, with each village as an evaluation unit. First, the polluted and reference areas were selected. Random sampling sites were distributed in the farmland of the villages in these two areas, with two sampling sites per village. Then, 204 vegetable samples were directly collected from the farmland from which the soil samples had been collected, composed of seven kinds of vegetables: cowpea, water spinach, amaranth, sweet potato leaves, tomato, eggplant, and pepper. Moreover, 400 questionnaires were given to the local residents in these corresponding villages, and 389 valid responses were obtained. The results indicated that (1) the average physical vulnerability values of the population in the polluted and reference areas were 3.99 and 1.00, respectively; (2) the village of Weiwang (WW) had the highest physical vulnerability of 8.55; (3) vegetable intake is exposure that should be paid more attention, as it contributes more than 90% to physical vulnerability among the exposure pathways; (4) arsenic and cadmium should be the priority pollutants, with average physical vulnerability value contributions of 63.9% and 17.0%, respectively; (5) according to the social vulnerability assessment, the village of Luoqiao (LQ) had the highest social vulnerability (0.77); (6) for comprehensive environmental health vulnerability, five villages near mining activities and two villages far from mine-affected area had high physical and social vulnerability, and are the urgent areas for environmental risk management. In order to promote environmental risk management, it is necessary to prioritize identifying vulnerable populations in the village-scale dimension as an innovative discovery.


2015 ◽  
Vol 29 (1) ◽  
Author(s):  
Eko Ahmad Riyanto

The aims of this research are (1) analyzing social and economic vulnerability of forest and peat land fire disaster in Bengkalis Regency; (2) Mapping social and economic vulnerability of forest and peat land fire disaster in Bengkalis Regency.  Research Variable is social and economic vulnerability. The data that used is primary and secondary data with survey method. Analysis method is scoring and weightings. After that classified based on the value of the score to determine the level of vulnerability. The analysis based on the head of National Agency for Disaster Management (Perka BNPB) Number 02.2012 and literatures study. The results of research show that social vulnerability of forest and peat land fire in Bengkalis Regency is medium vulnerability because it has value of social vulnerability is 0.46663. While economic vulnerability in Bengkalis Regency is low vulnerability because economic vulnerability is 0.3333. In addition, required mitigation that is quick and appropriate by governments of Bengkalis Regency and the local community in management of forest and peat land fire disaster.


Author(s):  
Patrick Guillaumont

This chapter examines the structural vulnerability of Africa’s economy and the methodological issues involved in measuring it. It begins by proposing a conceptual framework for measuring economic structural vulnerability that distinguishes it from general vulnerability, from physical vulnerability to climate change, and from state fragility. It then considers the main features and evolution of structural economic vulnerability in Africa using an economic vulnerability index. It suggests that structural economic vulnerability is higher in the continent than in other developing economies, reinforced by physical vulnerability to climate change. In addition, Africa has the highest proportion of fragile states among all continents. Finally, the chapter indicates that structural vulnerability, if adequately measured, may be useful as a criterion for the international allocation of official development assistance and of concessional resources.


1970 ◽  
Vol 2 ◽  
pp. 145-157 ◽  
Author(s):  
Umma Tamima

Spatial difference in geophysical risk and social vulnerability presents challenges to emergency planners to develop an effective evacuation strategy for cyclone zones. This study examines spatial variability in evacuation assistance needs during cyclone hazard in Barguna district. For this, composite vulnerability map of unions in Barguna district is developed based on the community demographics, resources, structures and geophysical risk indicators. Four evacuation dimensions are analyzed based on population traits and building structures index, differential access to resources index, special evacuation needs index and a combination of three dimensions. Results indicate that relative majority of the unions are characterized by high evacuation assistance need and similar scenario exists in the spatial distribution of geophysical risk and socio-economic vulnerability. Nevertheless, spatial disparity of socioeconomic vulnerability is also observed among the unions within the geophysical risk zone. The coastal unions of Barguna districts are identified as the geophysical risk zone of which Raihanpur, Bardarkhali, Keorabunia, Burir Char, Amtali, Haldia, Arpagashia, Barguna, Dhalua, Kakchira, Nachnapara, Kantaltali, Char Duanti, Kalmegha, Patharghata, Barabagi, Karaibaria, Pancha Karalia, Naltona, and Baliatali unions are within the high geophysical risk zone. Furthermore, depending on the indices it is revealed that 72.26 percent people are living within the geophysical risk zone, while 17.72 percent and 47.42 percent people are living within the high and medium socio-economic vulnerable regions respectively. Thus this study finds out that about 65.14 percent people of Barguna district require evacuation assistance needs.  DOI: http://dx.doi.org/10.3329/jbip.v2i0.9575Journal of Bangladesh Institute of Planners Vol. 2, December 2009, pp. 145-157


2018 ◽  
Vol 4 (1) ◽  
pp. 79 ◽  
Author(s):  
Kazuhiko Otani ◽  
Djoko Legono ◽  
Suseno Darsono ◽  
Suharyanto Suharyanto

Disaster management to mitigate or avoid impacts of hazards by reducing vulnerability has been conducted in Mount Merapi since 1969. Vulnerability introduced since 1980s has two main characteristics, such as physical vulnerability (i.e., impacts of hazards) and social vulnerability (i.e., composite characteristics including social, economic and environmental factors). As regulations in Indonesia, i.e. Law of Republic Indonesia No. 24 Year 2007, emphasizes the community involvement in disaster management, individuals or groups of individuals have significant roles in reducing social vulnerability. To promote the community involvement effectively in disaster management, this research hypothesized nine relationships between disaster management programs to assess effects of disaster management programs on the community involvement, such as individuals’ preparedness. Since disaster management programs are not measurable quantitatively, variance-based partial least squares structural equation modeling (PLS-SEM) was applied to test hypothesized causal relationships between the programs. As a result, all nine hypotheses were substantiated. The model revealed that individuals’ preparedness is significantly influenced by emergency logistics and financial aid through self-efficacy, and contingency plans affect reconstruction significantly and successively reconstruction affects rehabilitation.


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