首页 | 本学科首页   官方微博 | 高级检索  
     检索      

全国近岸海域水质空间插值算法精度分析
引用本文:李俊龙,丁页,刘喜惠,刘方,李曌,陈平,刘海江,李铭煊,高锋亮.全国近岸海域水质空间插值算法精度分析[J].中国环境监测,2015,31(2):135-140.
作者姓名:李俊龙  丁页  刘喜惠  刘方  李曌  陈平  刘海江  李铭煊  高锋亮
作者单位:中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012
基金项目:环境保护部公益性行业科研专项(201309008);中国环境监测总站转型发展科研支撑项目(2011ZX-HY014)
摘    要:空间插值技术对近海环境数据的分析和表征具有广泛应用价值,但目前针对各类模型适用性和精度比较的研究很少。基于2009年全国近岸海域299个站位的水质监测数据,利用交叉检验法,对3种插值算法13种模型的空间拟合结果进行分析和验证。结果表明,13种模型的模拟值与实测值显著相关(r=0.643~0.750,P0.01,n=299),说明其均适用于近岸海域水质的空间模拟;综合比较模拟结果与实测结果的相关系数、平均误差、平均绝对误差、均方差及偏离程度,排序为IDW(p2)Spline-TensionIDW(p3)IDW(p4)IDW(p1)IDW(p5)IDW(p6)Kriging-GuassianKriging-Spherical,Kriging-CircularKriging-LinearKriging-ExponentialSpline-Regularized,提出IDW(p2)是精度最优的空间插值模型。

关 键 词:近岸海域  海水水质  空间插值  精度
收稿时间:2014/1/20 0:00:00
修稿时间:2014/3/21 0:00:00

Analysis on Simulation Precision of the Spatial Interpolation Models Application on China Coastal Seawater Environmental Quality
LI Jun-long,DING Ye,LIU Xi-hui,LIU Fang,LI Zhao,CHEN Ping,LIU Hai-jiang,LI Ming-xuan and GAO Feng-liang.Analysis on Simulation Precision of the Spatial Interpolation Models Application on China Coastal Seawater Environmental Quality[J].Environmental Monitoring in China,2015,31(2):135-140.
Authors:LI Jun-long  DING Ye  LIU Xi-hui  LIU Fang  LI Zhao  CHEN Ping  LIU Hai-jiang  LI Ming-xuan and GAO Feng-liang
Institution:State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China and State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China
Abstract:The application prospect of spatial interpolation method will be great for coastal environmental monitoring in future, but there were few papers discussing spatial interpolation applicability and precision. Based on coastal seawater environmental monitoring data from 299 stations in 2009, we validated the simulation precision of three spatial interpolation method including thirteen models with the method of Cross-Validation. All the spatial interpolation models are suitable for the simulation of coastal seawater environmental quality, which was shown by the significant relationship between modeling results and monitoring results (r=0.643-0.750, P <0.01,n=299). Furthermore, based on integrative analysis of correlation coefficient, mean error, mean absolute error and root mean square error, it shown the order as follows: IDW(p2)< Spline-Tension< IDW(p3)< IDW(p4)< IDW(p1)< IDW(p5)< IDW(p6)< Kriging-Guassian< Kriging-Spherical, Kriging-Circular< Kriging-Linear< Kriging-Exponential< Spline-Regularized. Thus the Inverse Distance Weighted(p2) model is the best one in precisions for simulating China coastal seawater environmental quality.
Keywords:coastal water  spatial interpolation model  precision  seawater environmental quality
本文献已被 CNKI 等数据库收录!
点击此处可从《中国环境监测》浏览原始摘要信息
点击此处可从《中国环境监测》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号