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Subsurface Oil Simulator (SOSim) source code, documentation, and input examples

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DataONE2025-02-04 更新2025-04-26 收录
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This dataset includes source code, documentation, and input examples for Subsurface Oil Simulator (SOSim), a Bayesian probabilistic model which predicts the spatial probability of the location of spreading oil, in both the water column and sediments, after a spill. The model code is written in Python 2.7 and requires QGIS 2.14. Installation procedures are described in a ReadMe File and a user manual, which also includes information to aid users in running SOSim. Two video clips detail the installation procedure for Windows and Mac operating systems. A number of example input files are included. Case studies using SOSim may be downloaded from associated datasets R6.x812.000:0002 (Deepwater Horizon oil spill, doi:10.7266/n7-qsr6-gr54), R6.x812.000:0008 (T/V Athos I spill, doi: 10.7266/n7-8rhz-c860), and R6.x812.000:0001 (Tank Barge DBL 152 oil spill, doi: 10.7266/n7-d7cg-md27). The SOSim source code is also archived on Github. This dataset supports the publications: Ji, C.; Englehardt, J.D.; Beegle-Krause, C.J. (2020). Design of Real-Time Sampling Strategies for Submerged Oil Based on Probabilistic Model Predictions. Journal of Marine Science and Engineering, 8, 12, 984. doi:10.3390/jmse8120984; and Jacketti, M., Englehardt, J. D., & Beegle-Krause, C. J. (2020). Application of the SOSim v2 Model to Spills of Sunken Oil in Rivers. Journal of Marine Science and Engineering, 8(9), 729. doi:10.3390/jmse8090729.

本数据集包含地下石油模拟器(Subsurface Oil Simulator, SOSim)的源代码、文档与输入示例。该模型为贝叶斯概率模型,可预测溢油后在水体及沉积物中扩散的石油位置空间概率。 该模型代码采用Python 2.7编写,需依托QGIS 2.14运行。安装步骤详见自述文件(ReadMe File)与用户手册,其中还包含辅助用户运行SOSim的相关说明。另有两段视频演示分别介绍Windows与Mac操作系统的安装流程。数据集附带多份示例输入文件。 可从关联数据集下载使用SOSim的案例研究,包括R6.x812.000:0002(深水地平线溢油事件,doi:10.7266/n7-qsr6-gr54)、R6.x812.000:0008(Athos I号油轮溢油事件,doi:10.7266/n7-8rhz-c860)以及R6.x812.000:0001(DBL 152号油驳溢油事件,doi:10.7266/n7-d7cg-md27)。 SOSim源代码亦已归档至Github。 本数据集支撑以下两篇已发表学术成果:Ji, C.; Englehardt, J.D.; Beegle-Krause, C.J. (2020). 《基于概率模型预测的水下石油实时采样策略设计》,《海洋科学与工程学报》,8卷12期,984页,doi:10.3390/jmse8120984;Jacketti, M., Englehardt, J. D., & Beegle-Krause, C. J. (2020). 《SOSim v2模型在河流沉没石油溢油中的应用》,《海洋科学与工程学报》,8卷9期,729页,doi:10.3390/jmse8090729。
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2025-02-05
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