系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2008年
2期
170~175
,共null页
水文系统 噪声 混沌识别 小波消噪 饱和关联维数
水文繫統 譟聲 混沌識彆 小波消譟 飽和關聯維數
수문계통 조성 혼돈식별 소파소조 포화관련유수
hydrologic system; noise; chaos identification; wavelet de-noising; saturated correlation dimension
针对噪声对水文动力系统混沌识别影响,运用小波消噪方法研究含有观测噪声的水文时间序列的关联维数.计算结果表明,消噪后水文时间序列的饱和关联维数比消噪前有明显降低,证明了小波消噪的有效性,为混沌水文系统中噪声的去除提供了一种新的途径.
針對譟聲對水文動力繫統混沌識彆影響,運用小波消譟方法研究含有觀測譟聲的水文時間序列的關聯維數.計算結果錶明,消譟後水文時間序列的飽和關聯維數比消譟前有明顯降低,證明瞭小波消譟的有效性,為混沌水文繫統中譟聲的去除提供瞭一種新的途徑.
침대조성대수문동력계통혼돈식별영향,운용소파소조방법연구함유관측조성적수문시간서렬적관련유수.계산결과표명,소조후수문시간서렬적포화관련유수비소조전유명현강저,증명료소파소조적유효성,위혼돈수문계통중조성적거제제공료일충신적도경.
Considering the influence of noise on the chaos identification of the dynamic hydrologic system, the method of wavelet de-noising is applied to study the correlation dimension of the hydrological time series containing measure error. The results show that the saturated correlation dimension of the de-noised runoff series decreases obviously. So the method of wavelet de-noising is reliable, which provides a new path for the noise reduction of the hydrological time series.
