文章摘要
吴翠晴,李 楠,王亚涛,马启敏.空间插值方法在锦州湾海水富营养化评价中的应用Journal of Water Resources and Water Engineering[J].,2012,23(6):116-119
空间插值方法在锦州湾海水富营养化评价中的应用
Application of spatial interpolation method to sea water eutrophication evaluation in Jinzhou bay
Received:July 18, 2012  Revised:August 05, 2012
DOI:
中文关键词: 空间插值  海水富营养化  克里金插值法  锦州湾
英文关键词: spatial interpolation  eutrophication of sea water  Kriging method  Jinzhou bay
基金项目:国家908专项“我国近海海洋综合调查与评价”专项:锦州湾海域调查与研究(908-02-02-03)
Author NameAffiliation
WU Cuiqing National Center of Ocean Standards and Metrology, Tianjin 300112, China 
LI Nan National Center of Ocean Standards and Metrology, Tianjin 300112, China 
WANG Yatao National Center of Ocean Standards and Metrology, Tianjin 300112, China 
MA Qimin College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China [KH*3D] 
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中文摘要:
      采用空间插值和营养指数方程相结合的方法,对锦州湾海域海水富营养化状态进行评价。选择反距离权重(IDW)、径向基函数(RBF)和普通克里金(OK)三种插值方法及相应的关键参数,对2009年8月份锦州湾附近表层海水的高锰酸盐指数(COD)、无机氮(DIN)和无机磷(DIP)指标进行空间插值,通过交叉验证筛选出精度最高的插值方法。结果表明:(1)从插值精度上看,除了RBF法的薄盘样条(TPS)函数精度较低外,其余方法精度差别不显著;(2)从等值线图对空间变化趋势的表现效果上来看,OK法效果较好。最后利用OK法所得的插值结果评价锦州湾海水的富营养化状态,得出营养指数E≥1的海域面积占调查海域的2.4%,与传统的评价方法相比,所给出的富营养化空间分布图可直观、准确地反映该海域的富营养化状况,为海水水质评价工作提供了新思路。
英文摘要:
      The sea water eutrophication evaluation as carried out by combining spatial interpolation and nutrition index equation. Three different methods of spatial interpolation such as inverse distance weight, radial basis function, and ordinary kriging methodand and relevant key parameters were compared, using the data of chemical oxygen demand, dissolved inorganic nitrogen and phosphorus of the Jinzhou bay, in August 2009. At the same time, the accuracy of interpolation was verified by cross-validation and the best interpolation method was decided. The results showed that (1) the accuracy of the RBF-TPS is the lowest, while the else have no significant difference. (2) But from the equivalent effect of interpolation surface contours maps, OK method performs better here. At last, OK-EXP method was selected to evaluate eutrophication status, and the result showed that 2.4percent of the investigate area had met the eutrophication level, which the E index exceeded one. Also, the interpolation map could reflect the situation of the eutrophication status correctly and intuitively compared with the traditional eutrophication evaluation method. Thus, it provided a guideline for the practical application of the sea water quality evaluation.
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