为了更好地削弱倾角歧视影响,将叠前时间偏移/反偏移与输出道成像方式的共反射面元叠加算法(Common Reflection Surface Stack by the Output Imaging Scheme,以下简称CRS-OIS)相结合,把常规预处理后的地震数据进行叠前时间偏移映射到...为了更好地削弱倾角歧视影响,将叠前时间偏移/反偏移与输出道成像方式的共反射面元叠加算法(Common Reflection Surface Stack by the Output Imaging Scheme,以下简称CRS-OIS)相结合,把常规预处理后的地震数据进行叠前时间偏移映射到成像空间,在该空间内实施CRS-OIS处理,再用相同的速度场将其反偏移到叠前数据空间。基于这种处理流程不仅得到信噪比明显提高的叠前地震数据,同时削弱了CRS叠加方法固有的倾角歧视影响。理论数据与实际资料的处理结果均证实了该法的有效性和实用性。展开更多
Using the SAS software, the data of environmental factors vs. red tide biomass were analysed during the process of Skeletonema costatum red tide which broke out in the Changjiang Estuary on June 9～15, 1990. The resul...Using the SAS software, the data of environmental factors vs. red tide biomass were analysed during the process of Skeletonema costatum red tide which broke out in the Changjiang Estuary on June 9～15, 1990. The results of the multivariate statistical analysis show that the environmental factors are similar in their developing and maintenance periods and that the values of environmental factors begin to be restored to normal levels during the disappearing period.The results obtained from using the methods of correlation, variable cluster and main component analyses are basically identical. The important factors contributing to the occurrence of this red tide are atmospherical pressure, water temperature, salinity, pH, No3-, -N, Po43--P and Fe, among which,salinity, Fe and PO43--P are the leading factors which have triggered the occurrence of the red tide as determined by the step-by-step regression analysis. Meanwhile, the linear discrimination functions have been established for the red tide. The environmental factor data of another occurring process of Skeletonema costatum red tide in the Changjiang Estuary have been chosen for red tide discrimination with satisfactory results.展开更多
文摘为了更好地削弱倾角歧视影响,将叠前时间偏移/反偏移与输出道成像方式的共反射面元叠加算法(Common Reflection Surface Stack by the Output Imaging Scheme,以下简称CRS-OIS)相结合,把常规预处理后的地震数据进行叠前时间偏移映射到成像空间,在该空间内实施CRS-OIS处理,再用相同的速度场将其反偏移到叠前数据空间。基于这种处理流程不仅得到信噪比明显提高的叠前地震数据,同时削弱了CRS叠加方法固有的倾角歧视影响。理论数据与实际资料的处理结果均证实了该法的有效性和实用性。
文摘Using the SAS software, the data of environmental factors vs. red tide biomass were analysed during the process of Skeletonema costatum red tide which broke out in the Changjiang Estuary on June 9～15, 1990. The results of the multivariate statistical analysis show that the environmental factors are similar in their developing and maintenance periods and that the values of environmental factors begin to be restored to normal levels during the disappearing period.The results obtained from using the methods of correlation, variable cluster and main component analyses are basically identical. The important factors contributing to the occurrence of this red tide are atmospherical pressure, water temperature, salinity, pH, No3-, -N, Po43--P and Fe, among which,salinity, Fe and PO43--P are the leading factors which have triggered the occurrence of the red tide as determined by the step-by-step regression analysis. Meanwhile, the linear discrimination functions have been established for the red tide. The environmental factor data of another occurring process of Skeletonema costatum red tide in the Changjiang Estuary have been chosen for red tide discrimination with satisfactory results.
