Modelling an expert GIS system based on knowledge to evaluate oil spill environmental sensitivity

Pincinato, F.L.; Riedel, Paulina Setti; Milanelli, João Carlos Carvalho

doi:10.1016/j.ocecoaman.2009.08.003

Cited by 17 publications

(11 citation statements)

References 13 publications

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“…In the United States, the NOAA is responsible for mapping the coastal regions (as well as rivers, lakes and estuaries) of the country. ESI maps are increasingly being developed across many countries and their use is becoming very important in many oil producing countries (Pincinato, Riedel & Milanelli 2009 ). The NOAA guideline provides a very clear framework for ESI mapping based on physical, biological and human resources present in the environment of interest.…”

Section: Introductionmentioning

confidence: 99%

“…The NOAA guideline provides a very clear framework for ESI mapping based on physical, biological and human resources present in the environment of interest. According to Pincinato et al ( 2009 ), the NOAA framework formed the backbone of the development of the manual by the Regional Association of Oil, Gas and Biofuels Sector Companies in Latin America and the Caribbean (ARPEL) and International Petroleum Industry Environmental Conservation Association (IPIECA) for ESI mapping. The importance of this tool cannot be overemphasised in the management of oil spills (human-induced hazards).…”

Section: Introductionmentioning

confidence: 99%

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Geographic information systems-based expert system modelling for shoreline sensitivity to oil spill disaster in Rivers State, Nigeria

Lawal

Oyegun

2017

Jàmbá

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In the absence of adequate and appropriate actions, hazards often result in disaster. Oil spills across any environment are very hazardous; thus, oil spill contingency planning is pertinent, supported by Environmental Sensitivity Index (ESI) mapping. However, a significant data gap exists across many low- and middle-income countries in aspect of environmental monitoring. This study developed a geographic information system (GIS)-based expert system (ES) for shoreline sensitivity to oiling. It focused on the biophysical attributes of the shoreline with Rivers State as a case study. Data on elevation, soil, relative wave exposure and satellite imageries were collated and used for the development of ES decision rules within GIS. Results show that about 70% of the shoreline are lined with swamp forest/mangroves/nympa palm, and 97% have silt and clay as dominant sediment type. From the ES, six ranks were identified; 61% of the shoreline has a rank of 9 and 19% has a rank of 3 for shoreline sensitivity. A total of 568 km out of the 728 km shoreline is highly sensitive (ranks 7–10). There is a clear indication that the study area is a complex mixture of sensitive environments to oil spill. GIS-based ES with classification rules for shoreline sensitivity represents a rapid and flexible framework for automatic ranking of shoreline sensitivity to oiling. It is expected that this approach would kick-start sensitivity index mapping which is comprehensive and openly available to support disaster risk management around the oil producing regions of the country.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geographic information systems-based expert system modelling for shoreline sensitivity to oil spill disaster in Rivers State, Nigeria

Lawal

Oyegun

2017

Jàmbá

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“…The ESI guidelines remain a strong and exhaustive tool to assess oil spill vulnerability not only in the United States since they are also considered valid tools in different coastal environments worldwide (Hanna, 1995;Castanedo et al, 2009;Pincinato et al, 2009;Bello Smith et al, 2011;Aps et al, 2014Aps et al, , 2016 and take part in more comprehensive analyses of oil spill vulnerability (Fattal et al, 2010;Frazão Santos et al, 2013;Romero et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

The Role of Detailed Geomorphic Variability in the Vulnerability Assessment of Potential Oil Spill Events on Mixed Sand and Gravel Beaches: The Cases of Two Adriatic Sites

Grottoli

Ciavola

2019

Front. Earth Sci.

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“…In 2000, the Brazilian Ministry of the Environment (Ministerio do Meio Ambiente, MMA) in order to standardize methods for mapping oil spill environmental sensitivity of coastal habitats in Brazil, unified the guidelines made by NOAA (1997), IPIECA (1996) and Araujo et al (2000), into the first version of an extensive manual in Brazil named Technical rules and specifications for the preparation of oil spill environmental sensitivity maps (MMA, 2002;Pincinato et al, 2009).…”

Section: Esi Chartsmentioning

confidence: 99%

Study of Sensitivity of the Environment to Accidental Oil Pollution in the South Coast of Bahia State - Brazil

et al. 2015

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After the concession of marine blocks for exploration and production of oil and natural gas in the last decade, oil industries activities became to exert greater pressure on the marine and coastal environments of Brazil. The BM-J-2 block is located about 20 km away from the coast of Una, Canavieiras and Belmonte municipalities in the Southern region of Bahia State. This region is constituted by important coastal marine ecosystems, some of them protected by law. This context makes this area mentioned sensitive to impacts from potential oil spill accidents. This work aims to map the environmental sensitivity to oil spills, using remote sensing and in situ data. Therefore, the production of maps representing littoral sensitivity index (LSI) in different hydrodynamics modeling scenarios is important for the implementation of contingency and emergency plans. Moreover, regional studies of geomorphology, land cover and land use were also used to construct the LSI charts. Those revealed different levels of environmental sensitivity to oil spill LSI ranging from 1 (lowest sensitive) to LSI 10, depending on the hydrodynamic conditions. This study shows the importance of considering the spatial and seasonal variability of hydrological, oceanographic and atmospheric processes in order to understand of environmental sensitivity of the coastal ecosystems.

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Modelling an expert GIS system based on knowledge to evaluate oil spill environmental sensitivity

Cited by 17 publications

References 13 publications

Geographic information systems-based expert system modelling for shoreline sensitivity to oil spill disaster in Rivers State, Nigeria

Geographic information systems-based expert system modelling for shoreline sensitivity to oil spill disaster in Rivers State, Nigeria

The Role of Detailed Geomorphic Variability in the Vulnerability Assessment of Potential Oil Spill Events on Mixed Sand and Gravel Beaches: The Cases of Two Adriatic Sites

Study of Sensitivity of the Environment to Accidental Oil Pollution in the South Coast of Bahia State - Brazil

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