significant anomaly 中文意思是什麼

significant anomaly 解釋
明顯異常
  • significant : adj 1 有意義的；大有講究的，意味深長的。2 表明…的 （of）。3 重要的，重大的，值得注意的。4 有效的...
  • anomaly : n. 1. 不規則，反常（現象），異常，破格。2. 畸形物。
  1. On the paas - normalized plots, the parent granite and the granite weathering crust are enriched in lree without ce anomaly. while the groundwaters are also enriched in lree, they display significant negative ce anomaly, indicating the fractionation of ce during water - rock interaction. based on the study of two profiles of granitoid weathering crust, we concluded that ree concentrations in the groundwaters from the granitoid weathering crust are likely related to the continued chemical weathering, as well as the ree concentrations in the crust near the water table, clay concentration and the wate r ph values

    地下水與母巖、風化殼稀土的paas標準化分佈模式基本相似，呈lree富集型，母巖中無ce異常，而水樣中有ce負異常，表明ce在水巖作用過程中發生明顯的分異；通過研究兩個典型花崗巖風化殼剖面發現，地下水的稀土含量與連續的化學風化，以及水位附近剖面上的稀土含量、粘土礦物含量以及水的ph值等有關。
  2. Results show that the interdecadal anomalies are more significant in the variance of the system anomaly in the north pacific ( np ), and the interannual and interdecadal anomalies are about equivaleut in the tropical pacific ( tp ) ; the interdecadal change characters of the surface ( shallow ) layer of the ocean and the atmosphere aloft are unanimous in the same season and region, and their transition from a low mode to a high mode both occurred from the end of 1970s to the beginning of 1980s, with an exception for july in the np, which is related to the stability of the stratification of sea temperature within the sub - surface layer ; the interannual scale air - sea anomalies are associated with enso, is most typical for january, then july in the tp, followed by january in the np, and there is no visible relationship for july in the np

    在海氣系統異常的方差構成中，北太平洋區域以年代際異常為主，熱帶太平洋區域年際和年代際異常相當；表（淺）層海洋與大氣的年代際變化特徵對同一季節、區域是一致的，且20世紀70年代後期到80年代初均發生由低模態向高模態的轉變；北太平洋區域的7月與此不同，這與該季節近表層海溫層結穩定有關；年際尺度的海、氣異常與enso有關，且以熱帶太平洋區域1月最典型， 7月次之，北太平洋區域1月再次之， 7月無明顯關系。
  3. It can show significant difference between normal flows and attack flows in the correlation, which offers a new method to analyze the correlation in anomaly detection. the second analysis method is multi - similarity analysis of network charact - eristics

    通過主成分宏觀分析和微觀分析，該方法很好地分析了流量內部微觀的行為和關系，很好地區分了正常網路流和異常網路流在相關性上的不同，為異常發現提供了新的思路。
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