海洋鹽度分布的插值方法應(yīng)用與對比研究
發(fā)布時間:2018-07-15 09:41
【摘要】:空間插值在海洋環(huán)境評價中有著廣泛的應(yīng)用,常用的插值方法有:線性插值、最近鄰點插值、自然鄰點插值、三次多項式插值、反距離權(quán)重插值、克里金插值等。鹽度是海水重要的環(huán)境因子,基于2012年8月份的北海區(qū)鹽度監(jiān)測數(shù)據(jù),采用空間插值分析表層鹽度分布,并通過開展不同插值方法的插值實驗,對插值結(jié)果進行曲面分析和誤差分析,對比各插值方法的特點與適用性。結(jié)果顯示:基于本次海洋環(huán)境監(jiān)測的站位與鹽度數(shù)據(jù),克里金插值、自然鄰點插值曲面趨勢符合較好,而且相對其他插值方法誤差也較小,是相對適用于海水鹽度的空間插值方法。
[Abstract]:Spatial interpolation is widely used in marine environment assessment. The commonly used interpolation methods include linear interpolation, nearest neighbor interpolation, natural neighbor point interpolation, cubic polynomial interpolation, inverse distance weight interpolation, Kriging interpolation and so on. Salinity is an important environmental factor in seawater. Based on the salinity monitoring data of North Sea area in August 2012, the surface salinity distribution is analyzed by spatial interpolation, and the interpolation experiments with different interpolation methods are carried out. The interpolation results are analyzed by surface analysis and error analysis, and the characteristics and applicability of the interpolation methods are compared. The results show that the tendency of Kriging interpolation and natural neighbor interpolation surface is better based on the station position and salinity data of the marine environmental monitoring, and the error is smaller than that of other interpolation methods. It is a spatial interpolation method which is relatively suitable for seawater salinity.
【作者單位】: 國家海洋局北海環(huán)境監(jiān)測中心;山東省海洋生態(tài)環(huán)境與防災(zāi)減災(zāi)重點實驗室;國家海洋局海洋溢油鑒別與損害評估技術(shù)重點實驗室;國家海洋局北海預(yù)報中心;
【基金】:山東省海洋生態(tài)環(huán)境與防災(zāi)減災(zāi)重點實驗室2012年度開放基金資助項目(2012001)
【分類號】:P731.12
本文編號:2123652
[Abstract]:Spatial interpolation is widely used in marine environment assessment. The commonly used interpolation methods include linear interpolation, nearest neighbor interpolation, natural neighbor point interpolation, cubic polynomial interpolation, inverse distance weight interpolation, Kriging interpolation and so on. Salinity is an important environmental factor in seawater. Based on the salinity monitoring data of North Sea area in August 2012, the surface salinity distribution is analyzed by spatial interpolation, and the interpolation experiments with different interpolation methods are carried out. The interpolation results are analyzed by surface analysis and error analysis, and the characteristics and applicability of the interpolation methods are compared. The results show that the tendency of Kriging interpolation and natural neighbor interpolation surface is better based on the station position and salinity data of the marine environmental monitoring, and the error is smaller than that of other interpolation methods. It is a spatial interpolation method which is relatively suitable for seawater salinity.
【作者單位】: 國家海洋局北海環(huán)境監(jiān)測中心;山東省海洋生態(tài)環(huán)境與防災(zāi)減災(zāi)重點實驗室;國家海洋局海洋溢油鑒別與損害評估技術(shù)重點實驗室;國家海洋局北海預(yù)報中心;
【基金】:山東省海洋生態(tài)環(huán)境與防災(zāi)減災(zāi)重點實驗室2012年度開放基金資助項目(2012001)
【分類號】:P731.12
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