Large ships are efficient in transporting oil and its derivatives. However, they can cause spills in the event of accidents. The aim of the study is to simulate oil dispersion processes in scenarios of likely accidents with ships traveling on sea routes interconnected with Amazonian ports and with the Atlantic Ocean. Navigation routes were based on traffic data to identify risk areas, as well as to compare them to data from the environmental (oil) sensitivity index and to results of numerical simulations of plumes dispersion. These three approaches were integrated to each other in order to assess potential environmental impacts of plumes on coastal biota and human populations. Scenarios results have indicated that the rainy season is the most critical period for plumes dispersion. But, depending on the emission point, plumes tend to remain close to the coast, extend up to 132 km within 72 h, affecting the biodiversity, protected areas and water supply systems from the urban areas.

大型船舶在运输石油及其衍生物方面非常有效。但是，它们可能在发生事故时引起泄漏。该研究的目的是在可能发生事故的情况下，模拟在与亚马逊港口和大西洋互连的海上航线上航行的船舶的情况下，模拟油的扩散过程。导航路线基于交通数据来识别风险区域，并将其与来自环境（油）敏感性指数的数据以及羽流扩散的数值模拟结果进行比较。这三种方法相互结合，以评估羽流对沿海生物群和人口的潜在环境影响。情景结果表明，雨季是羽流扩散的最关键时期。但是，根据排放点，