SOCAL_BIASVALUES - Southern California Shoreline Bias Values
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The USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. These shorelines were used to calculate long-term and short-term change rates in a GIS using the Digital Shoreline Analysis System (DSAS) version 3.0; An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2005-1304, Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Miller, T.M. Shoreline vectors derived from historic sources (first three time periods) represent the high water line (HWL) at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line (MHW). Changing the shoreline definition from a proxy-based physical feature that is uncontrolled in terms of an elevation datum (HWL) to a datum-based shoreline defined by an elevation contour (MHW) has important implications with regard to inferred changes in shoreline position and calculated rates of change. This proxy-datum offset is particularly important when averaging shoreline change rates alongshore. Since the proxy-datum offset is a bias, virtually always acting in the same direction, the error associated with the apparent shoreline change rate shift does not cancel during averaging and it is important to quantify the bias in order to account for the rate shift. The shoreline change rates presented in this report have been calculated by accounting for the proxy-datum bias.
美国地质调查局(USGS)通过整合已有历史海岸线数据库中的岸线位置数据,并自主生成历史与现代岸线数据集,构建了一套完整的数字化矢量岸线数据库。岸线数据按州进行整合,且通常对应四个标准时间段之一:19世纪、1920年代至1930年代、1970年代,以及1998年至2002年。研究团队借助数字岸线分析系统(Digital Shoreline Analysis System, DSAS)3.0版本——一款用于计算岸线变化的ArcGIS扩展工具,相关参考文献为《美国地质调查局公开报告2005-1304》,作者为Thieler E.R.、Himmelstoss E.A.、Zichichi J.L.与Miller T.M.——在地理信息系统(GIS)中计算了长期与短期的岸线变化速率。源自历史数据源(前三个时间段)的岸线矢量数据代表对应调查时刻的高水位线(High Water Line, HWL),而现代岸线(最后一个时间段)则代表平均高水位线(Mean High Water, MHW)。将岸线定义从以代理指标为基础、未受高程基准约束的物理特征(即HWL),转换为以高程等高线定义的基准面岸线(即MHW),这一调整对岸线位置的推断变化与计算所得的变化速率具有重要影响。这种“代理-基准面偏差”在沿岸平均岸线变化速率的计算中尤为关键。由于该偏差始终沿单一方向产生偏倚,表观岸线变化速率偏移对应的误差在平均计算过程中无法相互抵消,因此量化该偏倚以修正速率偏移至关重要。本报告中呈现的岸线变化速率,已通过校正代理-基准面偏倚完成计算。
创建时间:
2017-09-14



