scholarly journals ANALISYS AND MAPPING OF ENVIRONMENTAL SENSITIVITY INDEX IN BANGGAI REGENCY AND BANGGAI ISLANDS REGENCY, CENTRAL SULAWESI

2017 ◽  
Vol 9 (1) ◽  
pp. 357-374
Author(s):  
Sugeng Putranto ◽  
Neviaty P. Zamani ◽  
Harpasis S. Sanusi ◽  
Etty Riani ◽  
Achmad Fahrudin

The Environmental Sensitivity Index (ESI) is a description of the biological, socio-economic and socio-cultural values of a particular coastal and marine area used as a priority response to oil spills, shown on a map by applying spatial analysis using geographic information system technology. The purpose of this research was to analyse mangrove ecosystem area in Banggai and Banggai Islands Regency based on its vulnerability value by analyzing mangrove community structure and socio-economic services for local community. The research was conducted in nine sub-districts, among others: South Batui, Batui, East Luwuk, Lamala, Masama, Balantak, Bualemo (Banggai) and Bulagi and Buko (Banggai Islands). The study was conducted from August to November 2016, with field observations, direct interviews with communities and local government and literature review. The results of spatial analysis of ESI in the coastal areas of Banggai and Banggai Islands are obtained from sensitivity values of medium and sensitive. Areas with moderate sensitivity are Batui, East Luwuk, Masama, Lamala, Balantak and Bualemo sub-districts with grades of 16,78 – 24,35. The value of ESI with sensitive category ranges from 38,24 – 57,54 in Bulagi, Buko and South Batui sub-districts. Keywords: mangrove ecosystem, Environmental Sensitivity Index (ESI)

2017 ◽  
Vol 9 (1) ◽  
pp. 357
Author(s):  
Sugeng Putranto ◽  
Neviaty P. Zamani ◽  
Harpasis S. Sanusi ◽  
Etty Riani ◽  
Achmad Fahrudin

<p class="Isi"><em>The Environmental Sensitivity Index (</em><em>ESI</em><em>) is a description of the biological, socio-economic and socio-cultural values of a particular coastal and marine area used as a priority response to oil spills, shown on a map by applying spatial analysis using geographic information system technology. The purpose of this research</em><em> was</em><em> to analyse mangrove ecosystem area in Banggai and Banggai </em><em>Islands</em><em> Regency based on its vulnerability value by analyzing mangrove community structure and socio-economic services for local community. The research was conducted in nine sub-districts, among others: </em><em>South </em><em>Batui, Batui, </em><em>East </em><em>Luwuk, Lamala, Masama, </em><em>Balantak</em><em>, Bualemo (Banggai) and Bulagi and Buko </em><em>(Banggai Islands)</em><em>. The study was conducted from August to November 2016, with field observations, direct interviews with communities and local government and literature review. The results of spatial analysis of </em><em>ESI</em><em> in the coastal areas of Banggai and Banggai Islands are obtained from sensitivity values of medium and sensitive. Areas with moderate sensitivity are Batui, </em><em>East </em><em>Luwuk, Masama, Lamala, Balantak </em><em>and Bualemo </em><em>sub-districts with grades </em><em>of </em><em>16,78 – 24,35. The value of </em><em>ESI</em><em> with sensitive category ranges from 38,24 – 57,54</em><em> </em><em>in </em><em>Bulagi, Buko and South Batui </em><em>sub-districts.</em></p><p class="Isi"><em> </em></p><p class="Isi"><strong><em>Keywords: </em></strong><em>mangrove ecosystem, Environmental Sensitivity Index (ESI)</em></p>


2019 ◽  
Vol 9 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Diego L. Gil- Agudelo ◽  
Diana Ibarra- Mojica ◽  
Ana María Guevara- Vargas ◽  
Ramón Nieto- Bernal ◽  
Marlon Serrano- Gómez ◽  
...  

The Environmental Sensitivity Index (ESI) mapping has been used globally for oil spill planning and response purposes in coastal areas since its development in the 1970s. However, application to riverine habitats has been very limited.  Following US National Oceanic and Atmospheric Administration (NOAA) formats and adapting them in working sessions held by a multidisciplinary team and in special sessions with experts and consultants in Colombia, this paper describes the development and application of the sensitivity index to develop maps for the conditions of the middle Magdalena River in Colombia.  The index developed (ESI-R) is useful for application on other major rivers in Colombia and areas with similar characteristics.  The use of the index to develop maps for smaller rivers and streams is likely to require further development.


2015 ◽  
Vol 6 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Diego L. Gil Agudelo ◽  
Ramón Alberto Nieto Bernal ◽  
Diana Marcela Ibarra Mojica ◽  
Ana María Guevara Vargas ◽  
Erich Gundlach

2021 ◽  

<p>This study was conducted to analysis of the Environmental Sensitivity Index (ESI) for anticipating the effect of oil spills on the environment in coastal areas. The study location is the coastal area and waters of the Karas District, Fakfak Regency, West Papua Province, Indonesia. The purpose of the study is to determine the priority of areas that are sensitive to oil spills. This method was carried out by scoring each unit of land based on vulnerability, conservation, and social values. ESI Analysis was carried out through geographic information systems and classified into 5 classes of sensitivity levels. The land use classification was carried out through satellite imagery and field surveys conducted in December 2018. The results of resource classification can be divided into 16 classes. The ESI analysis showed that most (51%) were categorized as insensitive, sensitive low 24%, very sensitive 15%, moderately sensitive 6%, and sensitive 4%. Although most are not sensitive, it should be followed by effective environmental protection to maintain sustainable development.</p>


Author(s):  
Slamet Ifandi ◽  
Jumari Jumari ◽  
Sri Widodo Agung Suedy

<p>Kaili is one of the ethnic region in Central Sulawesi which saves a lot of cultural values and traditions. As a traditional community, their life is very dependent upon natural resources contained in the environment. They still have knowledge, traditional culture, treatment and utilization system against various types of plants. The purpose of the study was to examine the knowledge understanding and utilization of medicinal plants by local community Tompu District of Kaili. Data knowledge and utilization were collected through interview, literature study, exploratory survey methods, PEA (participatory ethnobotanical appraisal), questionnaire and from interviews with the informants. The results from interviews showed that of public knowledge is still based on the traditional concept. Based on the results identifications obtained by (90 species). As many as six species medicinal plants to often used the Tompu community are Euphorbia hirta L. Phyllanthus niruri L. Ageratum L. Blumea conyzoides balsaminifera L. (DC). Kleinhovia hospita L and Tabernaemontana pandacaqui. The benefits of this research to the development of science is expected to be complete scientific data regarding the utilization of medicinal plants natural resources on Tribal society Kaili in Tompu.</p><p><strong>How to Cite</strong></p><p>Ifandi, S., Jumari, J., &amp; Suedy, S. W. A. (2016). Knowledge Understanding and Utilization of Medicinal Plants by Local Community Tompu District of Kaili, Sigi Biromaru, Central Sulawesi. <em>Biosaintifika: Journal of Biology &amp; Biology Education</em>, 8(1), 1-11.</p>


2021 ◽  
Vol 9 (1) ◽  
pp. 69-78
Author(s):  
Sadigheh Jahangiri ◽  
◽  
Mahnaz Mirza Ebrahim Tehrani ◽  
Masoud Torabi Azad ◽  
Seyed Ali Jozi ◽  
...  

Background: Oil spills caused by releasing liquid petroleum can spread on the coastal strip and affect coastal ecosystems, causing severe damage to the coastline environment and crisis in local communities. This study aimed to identify and map the environmentally sensitive areas of the coastal strip of Guilan Province, Iran, to oil spills using the Environmental Sensitivity Index (ESI). Methods: The data required for the present study were collected through field studies, the GPS device, topographic maps of 1.25000 of the National Mapping Organization, maps of protected areas of the Environmental Protection Organization, satellite images, data of Guilan Province Industry, Mine and Trade Organization, and other relevant agencies. NOAA (National Oceanic and Atmospheric Administration) method and ESI were used to determine the sensitivity of the coastal strip of Guilan Province to oil spills. Moreover, to determine the weights of the criteria studied in the NOAA method, the analytic hierarchy process was used. Results: The final results of the study of the environmental sensitivity of the coastal strip of Guilan Province to oil spills showed that 21.15%, 39.66%, and 39.19% of the coastal strip have low, medium, and high sensitivity, respectively. Conclusion: High sensitivity mainly was related to the eastern part of the coast, located at the banks of estuaries of current rivers. Low sensitivity was also located along the seafront on fine- to medium-grained sand beaches, where less damaged in the event of oil spill pollution.


2017 ◽  
Vol 2017 (1) ◽  
pp. 2017080
Author(s):  
Daiana Marques Costa ◽  
Paulina Setti Riedel

This research proposes the development of a mapping methodology for establishing the environmental sensitivity to oil to the adjacent terrestrial environments to highways and railways the city of Paulinia, Sao Paulo, Brazil where is located the refinery of REPLAN. This area was selected because REPLAN is the Brazilian biggest refinery in oil processing capacity. The methodology will be based on physiographic compartmentalization technique, applying remote sensing products, which will support the survey of the main types of terrestrial environments present in the study area, relating them to the physical characteristics that directly influence the predictable course of oil. It is due the recurrence of accidents involving oil spills in inland areas, with consequent environmental damage to adjacent environments of highways and railways. Furthermore, there is no consensus on methodological mapping, as there is for coastal environments. Thus, this research aims to seek a detailed knowledge of the study area to contribute to the preparation of the Environmental Sensitivity Index Mapping that constitutes a key element to contingency plans.


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