Oil Spill Sensitivity Analysis and Risk Assessment for Gulf of Kachchh, India, using Integrated Modeling

Environmental sensitivity mapping and risk assessment for oil spill along the Chennai Coast in India

“…The ESI maps were used to prioritize the resources requiring protection and develop an effective oil spill contingency plan (Kankara and Subramanian, 2007;Souza Filho et al, 2009). The risk assessment was carried out using the Oil Spill Risk Assessment Modeler (OSRAM) developed in Arc-GIS (Fig.…”

“…The sensitivity criteria (1-10) for the coastal resources were assigned according to the method of Kankara and Subramanian (2007). The river mouth and beaches were assigned the maximum values, and weight factors of 30%, 10%, 20%, 30%, and 10% were assigned to the resources for each sensitivity criterion as rating.…”

“…Multispectral images such as Landsat images, albeit low resolution (30 m spatial), are still useful for identifying and classifying coastal resources (Zakir Hossain et al, 2009). The geographic information systems (GIS) can be used to predict the movement and fate of spilled oil, to explore the possibility of different strategies in an interactive manner, to devise responses to oil spills, and to quantify the impacts of oil spill on resources (Kankara and Subramanian, 2007). In oil spill risk assessment, GIS is integrated with a spatial analysis that includes the biophysical characteristics and population vulnerability of a region (Nelson et al, 2015).…”

Petrochemicals

“…The Gulf of Kachchh, a rich marine ecosystem along the northwest Indian coast, is always at risk of oil spills from crude oil and petroleum facilities during transfer, piping, and loading of petroleum products, mainly Arabian crude. An integrated numerical simulation modeling approach was applied to find the probable oil route and fate in that area and the results were integrated into geographic information systems (GIS) to identify the resources at risk (Kankara and Subramanian 2007).…”

Approach for assessing coastal vulnerability to oil spills for prevention and readiness using GIS and the Blowout and Spill Occurrence Model

“…Results suggest that population vulnerability does not necessarily correspond to the biophysical vulnerability of a region. In other work, a similar suite of key data and indicators describing the environment and economy have been used to support the development of risk indices, general risk assessment and decision support systems (DSS) for oil spill response (Fattal et al, 2010;Kankara and Subramanian, 2007;Wirtz and Liu, 2006). The data used in oil spill risk assessment are often divided into three categories including human, environmental, and infrastructural components for analysis (Tena-Chollet et al, 2013).…”