کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6358982 1622751 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient tools for marine operational forecast and oil spill tracking
ترجمه فارسی عنوان
ابزار کارآمد برای پیش بینی عملیات دریایی و ردیابی نشت نفت
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات اقیانوس شناسی
چکیده انگلیسی


- Development of a robust operational modelling engine, OOFe.
- Applications of ocean model outputs and wind forcing to drive the oil spill model GNOME.
- Implementation in three distinct oceanic regions: Galicia, Texas-Lousiana and SE Brazil.
- The combination of OOFe and GNOME are proved to be efficient and realocatable.
- Scenarios of hypotetical accidents in the major Brazillian oil site are illustrated.

Ocean forecasting and oil spill modelling and tracking are complex activities requiring specialised institutions. In this work we present a lighter solution based on the Operational Ocean Forecast Python Engine (OOFε) and the oil spill model General NOAA Operational Modelling Environment (GNOME). These two are robust relocatable and simple to implement and maintain. Implementations of the operational engine in three different regions with distinct oceanic systems, using the ocean model Regional Ocean Modelling System (ROMS), are described, namely the Galician region, the southeastern Brazilian waters and the Texas-Louisiana shelf. GNOME was able to simulate the fate of the Prestige oil spill (Galicia) and compared well with observations of the Krimsk accident (Texas). Scenarios of hypothetical spills in Campos Basin (Brazil) are illustrated, evidencing the sensitiveness to the dynamical system.OOFε and GNOME are proved to be valuable, efficient and low cost tools and can be seen as an intermediate stage towards more complex operational implementations of ocean forecasting and oil spill modelling strategies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Marine Pollution Bulletin - Volume 71, Issues 1–2, 15 June 2013, Pages 139-151
نویسندگان
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