遇见数据集

Coastal Change Potential (CPI) Assessment of Indiana Dunes National Lakeshore (indu_shore)

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DataONE2017-05-27 更新2024-06-26 收录
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A coastal change potential index (CPI) was used to map the relative vulnerability of the coast to future lake-level change within Indiana Dunes National Lakeshore in Indiana. The CPI ranks the following in terms of their physical contribution to lake-level change-related coastal change: geomorphology, regional coastal slope, rate of relative lake-level change, historical shoreline change rates, mean annual ice cover and mean significant wave height. The rankings for each input variable were combined and an index value calculated for 1-minute grid cells covering the park. The CPI highlights those regions where the physical effects of lake-level rise might be the greatest. This approach combines the coastal system's susceptibility to change with its natural ability to adapt to changing environmental conditions, yielding a quantitative, although relative, measure of the park's natural succeptibility to the effects of lake-level change. The CPI and the data contained within this dataset provide an objective technique for evaluation and long-term planning by scientists and park managers.

本研究采用海岸变化潜力指数(Coastal Change Potential Index,CPI),对位于印第安纳州的印第安纳沙丘国家湖岸(Indiana Dunes National Lakeshore)内未来湖面变化引发的海岸相对脆弱性进行空间制图。CPI依据各因子对湖面变化相关海岸变化的物理贡献程度,对以下影响要素进行排序:地貌特征、区域海岸坡度、相对湖面变化速率、历史海岸线变化速率、年平均冰盖覆盖率及平均有效波高。研究将各输入变量的排序结果进行整合,并为覆盖该公园的1角分分辨率格网计算得到对应指数值。CPI可有效识别出湖面上升物理影响最为显著的区域。该方法将海岸系统对变化的易感性与其适应环境变化的自然能力相结合,最终得到公园针对湖面变化影响的自然易感性的相对定量度量结果。本数据集所包含的CPI及相关数据,可为科研人员与公园管理者提供一套用于开展海岸评估与长期规划的客观技术手段。

创建时间:
2017-06-01
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