纽约/新泽西河口分散沉积物污染物数据的科学可视化和数据建模

H. Ma, Keith W. Jones, E. Stern
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引用次数: 6

摘要

纽约和新泽西河口系统的许多地方的沉积物受到不同来源的有毒有机和无机化合物的污染。由于潜在的环境后果,沉积物污染物的空间分布的详细信息是必不可少的,以便以对环境负责的方式进行日常航道疏浚,并经济有效地和安全地修复热点。科学的可视化和离散数据建模技术成功地应用于分析纽约和新泽西河口沉积物污染物的稀疏采样数据,否则难以理解其潜在的空间特征。通过使用光谱域分解分散数据模型和IBM data Explorer(用于科学数据可视化的软件包),可以连续实现该区域的污染物浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scientific visualization and data modeling of scattered sediment contaminant data in New York/New Jersey estuaries
Sediments in many parts of the New York and New Jersey estuary system are contaminated with toxic organic and inorganic compounds by different sources. Because of the potential environmental consequences, detailed information on the spatial distribution of sediment contaminants is essential in order to carry out routine shipping channel dredging in an environmentally responsible way, and to remediate hot spots cost-effectively and safely. Scientific visualization and scatter data modeling techniques have been successfully applied in analyzing the sparse sampling data of sediment contaminants in New York and New Jersey estuaries, the underlying spatial characteristics of which are otherwise difficult to comprehend. Continuous realizations of contaminant concentrations in the region were obtained by using a spectral domain-decomposition scattered data model and IBM Data Explorer which is a software package for scientific data visualization.
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