Relationship between shoreline substrate type and sensitivity of seafloor habitats at risk to oil pollution

Leiger, R.; Aps, Robert; Kotta, Jonne; Orviku, Ü.K.; Pärnoja, Merli; Tõnisson, Hannes

doi:10.1016/j.ocecoaman.2012.05.004

Cited by 13 publications

(6 citation statements)

References 24 publications

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“…Semakin landai pantai, semakin luas daerah pasang surutnya. Hal ini berarti semakin rendah kemiringan pantai (landai) semakin tinggi risiko mangrove terkena tumpahan minyak (Leiger et al, 2012). Pantai yang memiliki kemiringan yang rendah lebih beresiko tinggi mengalami penggenangan (Gibb et al, 1992).…”

Section: Indeks Kerentanan (Ik) Ekosistemunclassified

Analisis Metode Indeks Kepekaan Lingkungan Ekosistem Mangrove Terhadap Tumpahan Minyak Di Pesisir Subang, Jawa Barat

Rikardi

Nurjaya

Damar

2021

J. Ilmu dan Teknologi Kelautan Tropis

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Penelitian ini bertujuan untuk mengembangkan metode indeks kepekaan lingkungan ekosistem mangrove terhadap tumpahan minyak dengan studi kasus di daerah pesisir Subang Jawa Barat. Data yang digunakan adalah data primer (data jenis mangrove, tipe substrat dan data sosial ekonomi) dan data sekunder (karakterisitik pantai dan hidrooseanografi). Data tersebut kemudian digunakan sebagai parameter dalam Indeks Kepekaan Lingkungan (IKL). Indeks kepekaan lingkungan terdiri dari tiga indeks yaitu indeks kerentanan (IK), indeks ekologi (IE), dan indeks sosial ekonomi (IS). Parameter IK terdiri dari kemiringan pantai, rentang pasang surut, tinggi gelombang, tipe substrat dan jarak ekosistem mangrove dari pantai. Parameter IE terdiri dari zonasi mangrove, kepadatan mangrove, keragaman mangrove, keberadaan hewan dilindungi dan status perlindungan ekosistem mangrove. Parameter IS terdiri dari dua kompoen yaitu komponen sosial dan komponen ekonomi dari ekosistem mangrove. Formula IKL yang digunakan adalah IKL = IK(0,3) + IE(0,3) + IS(0,4) dan terbagi kedalam 5 tingkatan kepekaan. Kajian IKL di daerah penelitian menunjukkan sebagian besar daerah memiliki tingkat kepekaan yang “sedang” terhadap tumpahan minyak kecuali Tegal Tike, Anggaranu dan Tanjung yang memiliki tingkat kepekaan “peka”.

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Section: Indeks Kerentanan (Ik) Ekosistemunclassified

Analisis Metode Indeks Kepekaan Lingkungan Ekosistem Mangrove Terhadap Tumpahan Minyak Di Pesisir Subang, Jawa Barat

Rikardi

Nurjaya

Damar

2021

J. Ilmu dan Teknologi Kelautan Tropis

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“…There is a certain relationship between the shoreline substrate type (shoreline substrate sensitivity) and the associated seafloor habitat's sensitivity (sensitivity of macrophytes and benthic invertebrates) to oil pollution (Leiger et al, 2012). Therefore, the dynamic changes in shoreline substrate type are dynamically changing also the relationship with the associated seafloor habitat's sensitivity.…”

Section: Dynamics Factor: Estonian Examplementioning

confidence: 99%

Incorporating dynamic factors to the Environmental Sensitivity Index (ESI) shoreline classification – Estonian and Spanish examples

Aps

Tõnisson

Anfuso

et al. 2014

Journal of Coastal Research

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“…The concept of Environmental Sensitivity Index (ESI) was originally developed to assist spill-response coordinators to evaluate the impact of oil along shorelines, and to evaluate and assist the allocation of resources during and after the oil spill incident, reducing the environmental consequences (Jensen et al 1990, 1998, Leiger et al 2012. The ESI aims to help and prioritize the efforts in specific locations in order to reduce environmental consequences of oil spills, and also the placement and allocation of fundamental resources during the cleanup and mitigation works (Jensen et al 1998).…”

Section: Introductionmentioning

confidence: 99%

Assessing Remotely Piloted Aerial Systems in the characterization of rocky shores for oil spills environmental sensitivity mapping, northern São Paulo littoral, Brazil

Cerri

Rodrigues

Oliveira

et al. 2022

An. Acad. Bras. Ciênc.

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The Environmental Sensitivity Index (ESI) for oil spills was developed to assist coordinators to evaluate oil spill impact along shorelines and also to coordinate the allocation of resources during and after the incident, aiming to reduce environmental damage and consequences. Recently, Remotely Piloted Aerial Systems (RPAS) are being used in a wide range of areas, since they complement traditional remote sensing data (e.g., satellite images) and offer a rapidly, precise, detail and high-resolution images that fit well for environmental studies. Herein, the use of high-resolution RPAS images for ESI analysis of rocky shores in the Brazilian territory was performed. Using RPAS images, with their higher-resolution compared with ArcGIS Pro Basemap satellite images, increased the detailed of ESI analysis for oil spills, increasing the number of regions in the rocky shore that are more sensitive to oil spills. The RPAS images were able to decrease the number of areas that were less sensitive to oil spills, and increase areas that are more sensitive to oil spills. This increase is important, since they were not detected in the ESI analysis using conventional ArcGIS Pro Basemap satellite images. The RPAS images permit to delineate precisely rocky shores, improving ESI interpretation in rocky shores.

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Relationship between shoreline substrate type and sensitivity of seafloor habitats at risk to oil pollution

Cited by 13 publications

References 24 publications

Analisis Metode Indeks Kepekaan Lingkungan Ekosistem Mangrove Terhadap Tumpahan Minyak Di Pesisir Subang, Jawa Barat

Analisis Metode Indeks Kepekaan Lingkungan Ekosistem Mangrove Terhadap Tumpahan Minyak Di Pesisir Subang, Jawa Barat

Incorporating dynamic factors to the Environmental Sensitivity Index (ESI) shoreline classification – Estonian and Spanish examples

Assessing Remotely Piloted Aerial Systems in the characterization of rocky shores for oil spills environmental sensitivity mapping, northern São Paulo littoral, Brazil

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