Related Experiment Video
Updated: Dec 22, 2025

Experimental Procedure for Laboratory Studies of In Situ Burning : Flammability and Burning Efficiency of Crude Oil
Published on: May 1, 2018
Estimating offshore exposure to oil spill impacts based on a statistical forecast model
Dapeng Wang1, Weijun Guo2, Shujun Kong3
1College of Navigation, Dalian Maritime University, Dalian Maritime University, Dalian, China.
Abstract:
A statistical oil spill risk forecast model in support of emergency response and environmental risk assessment is presented by combing the deterministic model, probabilistic strategy and frequency estimation. When applied to evaluate various potential spill sources (oil port, fairway, anchorage and pipeline) in the Zhoushan offshore area, the model provides the probability of slick spatial position, oil slick thickness, and exposure duration of floating slick. An oil spill risk map is generated after integrating multiple spill sources, which is a powerful tool for identifying high-risk areas and developing contingency plan. Impact scope and damage degree vary among different sources because of special local topographical, hydrological, and meteorological conditions, where generally exists high pollution intensity of point-source and wide range of line-source. Huge Changjiang River runoff prevents coastal sea in the north from being contaminated by spilled oil from the southern Zhoushan offshore area.
Related Concept Videos
Steps in Outbreak Investigation
Estimating Population Mean with Known Standard Deviation
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Design Example: Creating a Hydraulic Model of a Dam Spillway
Estimating Population Standard Deviation
Residual Plots
When the residual values are plotted against the variable x, it is called a residual...

