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

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.

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

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 ◽  
...  

2020 ◽  
Vol 18 (01) ◽  
pp. 159-188
Author(s):  
Marcus Vinicius Silva da Silva ◽  
Brenda Caroline Sampaio da Silva ◽  
Ilale Ferreira Lima

A necessidade de uso dos recursos naturais estimulou as mudanças de cobertura da terra, com isso, inúmeros problemas foram surgindo e houve a necessidade de estabelecer políticas de uso restritivo dos recursos como as RESEX’s. De forma a auxiliar a gestão dessas UC’s o estudo da sua vulnerabilidade se faz importante. O município de estudo foi São João da Ponta que abriga uma RESEX a nível federal. A metodologia utilizada consistiu na análise de diversas variáveis que tendem a influenciar o grau de resiliência (Altitude, Declividade, Geologia, Pedologia, Precipitação e Uso e Cobertura do solo), estas variáveis foram processadas em um ambiente SIG e em seguida utilizadas para o cálculo do Índice de Vulnerabilidade. Foram obtidos como resultados mapas temáticos para cada variável e da vulnerabilidade ambiental de São João da Ponta, a fim de demonstrar espacialmente o grau de resiliência da área e quais os fatores influenciadores. Com isso, foi possível observar que as regiões que apresentaram maior vulnerabilidade estão dentro da RESEX em virtude dos manguezais, corroborando com diversos estudos que apontam a sensibilidade desses ecossistemas e a importância da sua proteção para as comunidades tradicionais que sobrevivem deles, além da manutenção da biodiversidade do ponto de vista ecológico. Palavras-chave: RESEX. Gestão Ambiental. Erosão. Manguezais. SIG.   ANALYSIS OF THE ENVIRONMENTAL VULNERABILITY OF THE CITY OF SÃO JOÃO DA PONTA, PARÁ: The use of geoprocessing in the management of conservation units ABSTRACT The need for use of stimulated natural resources as land cover changes, thus, in many problems arose and there was a need to define restrictive resource use policies as RESEX. In order to help the management of these UCs, the study of their vulnerability is important. The municipality of study was São João da Ponta, opening a RESEX at federal level. One methodology used is the analysis of several variables that affect the degree of resilience (Altitude, Slope, Geology, Pedology, Precipitation and Land Use and Coverage), these variables were processed in a GIS environment and in temporary use for the Vulnerability Index test. The results of thematic maps were selected for each variable and environmental vulnerability of São João da Ponta, an end of spatial demonstration or degree of resilience of the area and which factors influence it. Thus, it was possible to observe which regions with greater vulnerability are within RESEX due to mangroves, corroborating several studies that point to a sensitivity of these ecosystems and the importance of protection for the traditional communities that survive, besides maintaining the biodiversity of the point. from an ecological point of view. Keywords: RESEX. Environmental Management. Erosion. Mangroves. GIS.   ANÁLISIS DE LA VULNERABILIDAD AMBIENTAL DEL MUNICIPIO SÍO JOÍO DA PONTA, PARÁ: El uso del geoproceso en la gestión de unidades de conservación RESUMEN La necesidad de usar recursos naturales estimuló cambios en la cobertura de la tierra, con esto, surgieron numerosos problemas y hubo una necesidad de establecer políticas para el uso restrictivo de recursos como RESEX. Para ayudar a la gestión de estas UC, el estudio de su vulnerabilidad es importante. El municipio de estudio fue São João da Ponta, que alberga un RESEX a nivel federal. La metodología utilizada consistió en el análisis de varias variables que tienden a influir en el grado de resiliencia (altitud, declive, geología, pedología, precipitación y uso y cobertura del suelo), estas variables se procesaron en un entorno SIG y luego se utilizaron para el cálculo El Índice de Vulnerabilidad. Los mapas temáticos para cada variable y la vulnerabilidad ambiental de São João da Ponta se obtuvieron como resultados, con el fin de demostrar espacialmente el grado de resiliencia del área y cuáles son los factores que influyen. Con eso, fue posible observar que las regiones que presentaron mayor vulnerabilidad se encuentran dentro del RESEX debido a los manglares, corroborando con varios estudios que señalan la sensibilidad de estos ecosistemas y la importancia de su protección para las comunidades tradicionales que sobreviven de ellos, además del mantenimiento del biodiversidad desde un punto de vista ecológico. Palabras clave: RESEX. Gestión ambiental. Erosion. Manglares. SIG.


2022 ◽  
pp. 930-951
Author(s):  
Ahmed Karmaoui ◽  
Siham Zerouali

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.


2020 ◽  
Vol 112 ◽  
pp. 106163 ◽  
Author(s):  
Diego Peruchi Trevisan ◽  
Polyanna da Conceição Bispo ◽  
Dayana Almeida ◽  
Maryam Imani ◽  
Heiko Balzter ◽  
...  

Agromet ◽  
2020 ◽  
Vol 34 (2) ◽  
pp. 110-120
Author(s):  
Mashita Fauzia Hannum ◽  
I Putu Santikayasa ◽  
Muh. Taufik

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.


2021 ◽  
Vol 14 (4) ◽  
pp. 2465-2485
Author(s):  
Athos Farias Menezes ◽  
Igor Fernandes Gomes ◽  
Maria do Carmo Sobral ◽  
Lourdinha Florêncio ◽  
Gallileu Genesis Pereira de Sousa ◽  
...  

Covid-19 is an infectious disease caused by the new Coronavirus (SARS-CoV-2) that had its first records in China's Wuhan province and in March 2020, WHO declared Covid as a Pandemic. Since then, several studies have been carried out to analyze the transmission of SARS-Cov-2 through analyzes of Geographic Information Systems and Statistics with the purpose of evaluating the socioenvironmental elements. For the present work, the methodology is characterized by the creation of socioenvironmental vulnerability indices, analyzing the unavailability of drinking water, the absence of sanitary sewage collection, high demographic densities, contamination rates and lethality rates. The selected neighborhoods were Brasília Teimosa and Pina, using information from IJCPM, Compesa, IBGE, Health Secretariat of the City of Recife and Secretariat of Planning and Management of the State of Pernambuco. After processing the data, the Socio-Environmental Vulnerability Index was introduced using social indicators. For the Pina neighborhood, sectors were selected whose IVSA was greater than or equal to 0.6. It is perceived that, for these sectors, the vulnerability regarding home care for sewage and income is moderate. While the Brasília Teimosa neighborhood has an asymmetry in stilt areas with high vulnerabilities. This same behavior is observed in relation to the IVCD. The Pina neighborhood stands out for the number of outliers, which occur in exactly the same sectors. This may imply a direct relationship between the number of cases and the number of deaths, but it can also be related to shared socioeconomic vulnerability.


2018 ◽  
Vol 7 (1) ◽  
pp. 56
Author(s):  
Maartianus S. Baroleh ◽  
Achmad Fahrudin ◽  
Rokhmin Dahuri ◽  
Setyo Budi Susilo ◽  
Daniel Monintja

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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