ITR/AP(GEO): Development of Interactive Web-based Tools for Modeling Deformation at Subduction Zones

ITR/AP(GEO)：开发用于俯冲带变形建模的交互式网络工具

• 批准号: 0113713
• 负责人: Charles Williams
• 金额: $ 40万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2006-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113713&HistoricalAwards=false
• 关键词: ITR; AP; GEO; Development; Interactive

0113713WilliamsSubduction zones comprise a large percentage of the tectonic plate boundaries on earth and they produce the largest and most devastating earthquakes. Large amounts of surface geodetic data are collected in these regions to estimate seismic hazard and to understand the mechanics of convergent margins. The amount and quality of such data has increased rapidly in recent years but the development of sophisticated and easy-to-use modeling tools has not proceeded at a similar pace. Although sophisticated modeling techniques exist, they are not generally easy to use and are not readily available to the same scientists collecting geodetic data. This is a project to develop web-based tools that will provide comprehensive solutions for geoscientists wishing to model surface deformation at subduction zones. This will allow general access to more powerful modeling techniques (the finite element method) while offering significant ease-of-use. Despite the increase in the quality and quantity of geodetic data, most researchers still rely on older modeling techniques in their analyses. The goal of this project is to provide a modeling environment that improves upon current methods while still being easy to use, thus allowing geoscientists to focus more on interpretation than on model development.***

0113713Williamsssubduction区域占地球上构造板边界的很大一部分，它们会产生最大，最毁灭性的地震。 在这些区域收集了大量的表面测量数据，以估计地震危害并了解收敛边缘的机制。 近年来，此类数据的数量和质量迅速增加，但是以类似的速度进行了复杂且易于使用的建模工具的开发。 尽管存在复杂的建模技术，但它们通常并不容易使用，并且不容易获得收集大地测量数据的科学家。 这是一个开发基于网络的工具的项目，该工具将为希望在俯冲区域建模表面变形的地球科学家提供全面的解决方案。 这将允许一般访问更强大的建模技术（有限元方法），同时提供明显的易用性。 尽管大地数据的质量和数量有所提高，但大多数研究人员仍在分析中依靠较旧的建模技术。 该项目的目的是提供一个建模环境，该环境可以改善当前方法，同时又易于使用，从而使地球科学家更多地专注于解释而不是模型开发。***