DOI: 10.1016/j.marpolbul.2014.07.041
Scopus记录号: 2-s2.0-84922667737
论文题名: Uncertainty analysis of total phosphorus spatial-temporal variations in the Yangtze River Estuary using different interpolation methods
作者: Liu R. ; Chen Y. ; Sun C. ; Zhang P. ; Wang J. ; Yu W. ; Shen Z.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2014
卷: 86, 期: 2018-01-02 起始页码: 68
结束页码: 75
语种: 英语
英文关键词: Interpolation method
; Spatial-temporal variations
; Total phosphorus
; Uncertainty
; Yangtze River Estuary
Scopus关键词: Errors
; Estuaries
; Interpolation
; Mean square error
; Phosphorus
; Rivers
; Interpolation method
; Spatial temporals
; Total phosphorus
; Uncertainty
; Yangtze River estuary
; Uncertainty analysis
; phosphorus
; phosphorus
; water pollutant
; Article
; China
; data analysis
; disjunctive kriging method
; estuary
; intermethod comparison
; inverse distance weighted method
; local polynomial interpolation method
; measurement accuracy
; ordinary kriging method
; seasonal variation
; spatial analysis
; temporal analysis
; uncertainty
; water quality
; analysis
; analysis of variance
; chemical model
; environmental monitoring
; procedures
; season
; statistics and numerical data
; water pollutant
; Analysis of Variance
; China
; Environmental Monitoring
; Estuaries
; Models, Chemical
; Phosphorus
; Seasons
; Spatial Analysis
; Uncertainty
; Water Pollutants, Chemical
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: Interpolation processes and results are generally accompanied by uncertainty which affects the spatial and temporal properties of pollutants. Based on the 4 period sample data of total phosphorus (TP) collected from the Yangtze River Estuary (YRE) in 2010 and 2011, the uncertainty of spatial-temporal variation was analyzed with interpolation methods of inverse distance weighted (IDW), local polynomial interpolation (LPI), ordinary kriging (OK) and disjunctive kriging (DK). The root mean square errors (RMSE) and the mean relative errors (MRE) were used to analyze the accuracy of different interpolation methods. The results showed that the uncertainty of DK was the lowest and the uncertainty of LPI was the highest among the 4 methods. The subtraction results between different interpolation methods showed that there was some distinct area of value in the disparate interval (not in [-0.05, 0.05] (mg/L)) in the 4 seasonal results, which was mainly distributed in the boundary region and around some sample sites. Both standard deviation (SD) and coefficient of variance (CV) in August 2010 were the highest in the 4 seasons and annual mean. The uncertainty may be caused by choice of interpolation methods, spatial data discrepancy and the lack of sample data. © 2014 Elsevier Ltd.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85762
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
There are no files associated with this item.
作者单位: State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China
Recommended Citation:
Liu R.,Chen Y.,Sun C.,et al. Uncertainty analysis of total phosphorus spatial-temporal variations in the Yangtze River Estuary using different interpolation methods[J]. Marine Pollution Bulletin,2014-01-01,86(2018-01-02)