Construction And Validation Of A Socio-Environmental Vulnerability Index For Monitoring And Management Of Natural Disasters In The State Of Rio De Janeiro, Brazil

2015 ◽  
Vol 2015 (1) ◽  
pp. 2915
Author(s):  
Raphael Mendonça Guimarães ◽  
Maíra Lopes Mazoto ◽  
Raphael Nascimento Martins ◽  
Cleber Nascimento Do Carmo ◽  
Carmen Ildes Rodrigues Fróes Asmus
Keyword(s):  
Natural Disasters ◽  
Rio De Janeiro ◽  
Vulnerability Index ◽  
The State ◽  
Environmental Vulnerability ◽  
Environmental Vulnerability Index

scholarly journals Socio-Environmental Vulnerability Index: An Application to Rio de Janeiro-Brazil

2021 ◽  
Vol 66 ◽  
Author(s):  
Fernanda Siqueira Malta ◽  
Eduarda Marques da Costa
Keyword(s):  
Rio De Janeiro ◽  
Social Economic ◽  
Health Indicators ◽  
Vulnerability Index ◽  
Environmental Vulnerability ◽  
Disadvantaged Groups ◽  
Public Health Indicators ◽  
Summary Index ◽  
The City ◽  
Environmental Vulnerability Index

Objectives: The concept of vulnerability has been used more frequently in several studies, in an attempt to better understand the specificities and needs of different population groups, both in environmental and socio-economical terms. The aim of this study is to identify, characterize and analyze populations in situations of socio-environmental vulnerability in the city of Rio de Janeiro, based on social, economic, environmental and public health indicators organized into a summary index – the Socio-Environmental Vulnerability Index.Methods: The methodology integrated 15 indicators in a Multi-Criteria Decision Analysis into a Geographic Information System.Results: According to our results, socio-environmental vulnerability in Rio de Janeiro is aggravated by at-risk situations and environmental degradation. These aspects are jeopardized by the population density in slum areas, where the most disadvantaged groups live in a process of environmental and urban exclusion.Conclusion: The study concludes about the importance of these tools in guiding resource allocation and their contribution to formulating and implementing more effective public policies.

Application and assessment of the Environmental Vulnerability Index in Greece

2011 ◽  
Vol 11 (6) ◽  
pp. 1699-1706 ◽  
Author(s):  
Nikolaos A. Skondras ◽  
Christos A. Karavitis ◽  
Ippokratis I. Gkotsis ◽  
P.J.B. Scott ◽  
Ursula L. Kaly ◽  
...  
Keyword(s):  
Vulnerability Index ◽  
Environmental Vulnerability ◽  
Environmental Vulnerability Index

The Need to Establish a Long-Term Ecological Research Network in Morocco as a Tool to Monitor Ecosystems Under Climate Change

2022 ◽  
pp. 930-951
Author(s):  
Ahmed Karmaoui ◽  
Siham Zerouali
Keyword(s):  
Driving Forces ◽  
Vulnerability Index ◽  
Research Network ◽  
Ecosystem Change ◽  
Ecological Research ◽  
Environmental Vulnerability ◽  
Ecological Changes ◽  
Long Term Ecological Research ◽  
Environmental Vulnerability Index

Several countries are associated with the long-term ecological research (LTER) program, while others are in the process of joining the network. In Morocco, there is an urgent need to be a member of this network because the diversity of challenges associated with the various ecosystems requires multidisciplinary long-term studies. The chapter discusses this need by assessing the environmental vulnerability of Morocco basing on data from the environmental vulnerability index profile. Ecosystem change and vulnerability were investigated at the sites within the LTER program by exploring the criteria of the selected sites. The driving forces, pressures, states, impacts, responses framework would be a useful approach to study and explain the ecological changes of each selected site. The chapter highlights the purpose, significance, the mission, objectives, and the international cooperation of the proposed LTER network called Mo-LTER.

scholarly journals Environmental vulnerability index: An evaluation of the water and the vegetation quality in a Brazilian Savanna and Seasonal Forest biome

2020 ◽  
Vol 112 ◽  
pp. 106163 ◽  
Author(s):  
Diego Peruchi Trevisan ◽  
Polyanna da Conceição Bispo ◽  
Dayana Almeida ◽  
Maryam Imani ◽  
Heiko Balzter ◽  
...  
Keyword(s):  
Vulnerability Index ◽  
Brazilian Savanna ◽  
Environmental Vulnerability ◽  
Environmental Vulnerability Index ◽  
Forest Biome

scholarly journals The Use of Dam Environmental Vulnerability Index (DEVI) for Assessing Vulnerability of Bengawan Solo Watershed, Indonesia

Agromet ◽  
2020 ◽  
Vol 34 (2) ◽  
pp. 110-120
Author(s):  
Mashita Fauzia Hannum ◽  
I Putu Santikayasa ◽  
Muh. Taufik
Keyword(s):  
Stream Water ◽  
Vulnerability Index ◽  
Dam Construction ◽  
Stream Network ◽  
Environmental Vulnerability ◽  
Water Stage ◽  
High Level ◽  
The Impact ◽  
Environmental Vulnerability Index ◽  
Type Stream

Bengawan Solo is the longest river in Java, but current conditions show that its watershed is in a critical condition. Deforestation was very intensive in the last three decades that contributed to degradation of the watershed. Other factor contributing to the degradation is dam construction. However, our knowledge on the impact of dam construction on the environment and its vulnerability is poorly understood. Here, we assessed vulnerability of the watershed based on physical properties such as existing dams, morpho-dynamic activities, and deforested area. The study aims to identify the vulnerability of the Bengawan Solo watershed based on dam environmental vulnerability index (DEVI) approach, and to analyse the dominant variable contributing to DEVI. For calculating DEVI, several data were needed including land cover, rainfall, stream water stage, soil type, stream network, and dams. The results showed that Bengawan Solo watershed had moderate to high vulnerability (60%). Moderate level was identified for Madiun and Wonogiri sub-watershed, while high level was in Cepu and Babat sub-watershed. Our findings revealed that morpho-dynamic activities as represented by sediment rate and stream water stage had contributed to the high DEVI value as in Cepu and Babat sub-watershed. Further, influence of dams in this research was not dominant implying that any improvement to the DEVI approach remains research challenges. The improvement of the approach is expected to better identify the impact of dam construction on environment, situated in other regions than Amazon, where it was firstly developed.

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

Sign in / Sign up

Export Citation Format

Share Document