Managing oil spill residues washing onto sandy beaches is a common worldwide environmental problem. In this study, we have analyzed the first-arrival oil spill residues collected from two Gulf of Mexico (GOM) beach systems following two recent oil spills: the 2014 Galveston Bay (GB) oil spill, and the 2010 Deepwater Horizon (DWH) oil spill. This is the first study to provide field observations ...

Abstract: The main objective of this work is to utilize automatic detection algorithm for oil spill pixels in multimode (Standard beam S2, Wide beam W1 and fine beam F1) RADARSAT-1 SAR satellite data and ENVISAT ASAR that were acquired in the Malacca Straits, and Gulf of Mexico, respectively. In doing so, neural network (NN) algorithm is implemented for oil spill detection. The results show tha...

A successful combating operation to a marine oil spill is dependent on a rapid response from the time the oil spill is reported until it has been fully combated. In order to optimize the decision support capability of the surveillance system for oil spill contingency planning, a GIS database have been integrated with the detection tool. This paper demonstrate the parallel activities on remote s...

Adverse infant outcomes often rise in the aftermath of disaster, but few studies have assessed the effects of disaster on maternal health. 1091 southern Louisiana women were interviewed about their pregnancy history, including pregnancy complications. Associations between oil spill exposures and gestational diabetes, hypertensive disorders, and nausea/vomiting were assessed for all reported pre...

Oil spill or leakage into waterways and ocean spreads very rapidly due to the action of wind and currents. The study of the behavior and movement of these oil spills in sea had become imperative in describing a suitable management plan for mitigating the adverse impacts arising from such accidents. But the inherent difficulty of discriminating between oil spills and lookalikes is a main challen...

Reducing the risk of oil spill disasters is essential for protecting the environmentand reducing economic losses. Oil spill surveillance constitutes an important component ofoil spill disaster management. Advances in remote sensing technologies can help to identifyparties potentially responsible for pollution and to identify minor spills before they causewidespread damage. Due to the large numb...

With the rapid development of the oil industry and oil transportation, oil well blowout and marine oil spill accidents ca·used a lot of environmental damage in recent years, so there is a growing demand for oil spill disaster emergency response. It is difficult to monitor oil spill by conventional ways in real time due to the large range of oil spill, so remote sensing technology becomes the mo...

Oil spill patterns detected from Envisat ASAR images were integrated with hydrodynamic and oil spill trajectory models for the purposes of understanding the August 11, 2006 M/T Solar 1 oil spill, and to evaluate the accuracy of the oil spill patterns simulated by an oil trajectory model. The oil spill incident event that occurred a few kilometers southwest of Guimaras Island in Panay Gulf and I...

The main objective of this work is to develop comparative automatic detection procedures for oil spill pixels in multimode (Standard beam S2, Wide beam W1 and fine beam F1) RADARSAT-1 SAR satellite data that were acquired in the Malacca Straits using two algorithms namely, post supervised classification, and neural network (NN) for oil spill detection. The results show that NN is the best indic...

PURPOSE The oil spill from the Heibei Spirit in December 2007 contaminated the Yellow Coast of South Korea. We evaluated the respiratory effects of that spill on children who lived along the Yellow Coast. METHODS Of 662 children living in the area exposed to the oil spill, 436 (65.9%) were enrolled as subjects. All subjects completed a modified International Study of Asthma and Allergies in C...