Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity

doi:10.1007/s13131-017-0969-3

	Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity
	Fan Haimei 1; Gao Bingbo 2; Xu Ren 1; Wang Jinfeng 3
刊名	ACTA OCEANOLOGICA SINICA
	2017-02-01
卷号	36 期号:2 页码:111-121
关键词	area of water quality grade stratified Kriging (SK) leave-one-out cross validation method spatial simulated annealing method monitoring sites optimization
ISSN号	0253-505X
DOI	10.1007/s13131-017-0969-3
通讯作者	Gao Bingbo(gaobb@lreis.ac.cn)
英文摘要	The water quality grades of phosphate (PO4-P) and dissolved inorganic nitrogen (DIN) are integrated by spatial partitioning to fit the global and local semi-variograms of these nutrients. Leave-one-out cross validation is used to determine the statistical inference method. To minimize absolute average errors and error mean squares, stratified Kriging (SK) interpolation is applied to DIN and ordinary Kriging (OK) interpolation is applied to PO4-P. Ten percent of the sites is adjusted by considering their impact on the change in deviations in DIN and PO4-P interpolation and the resultant effect on areas with different water quality grades. Thus, seven redundant historical sites are removed. Seven historical sites are distributed in areas with water quality poorer than Grade IV at the north and south branches of the Changjiang (Yangtze River) Estuary and at the coastal region north of the Hangzhou Bay. Numerous sites are installed in these regions. The contents of various elements in the waters are not remarkably changed, and the waters are mixed well. Seven sites that have been optimized and removed are set to water with quality Grades III and IV. Optimization and adjustment of unrestricted areas show that the optimized and adjusted sites are mainly distributed in regions where the water quality grade undergoes transition. Therefore, key sites for adjustment and optimization are located at the boundaries of areas with different water quality grades and seawater.
资助项目	National Natural Science Fundation of China[41376190] ; National Natural Science Fundation of China[41271404] ; National Natural Science Fundation of China[41531179] ; National Natural Science Fundation of China[41421001] ; National Natural Science Fundation of China[41601425] ; Open Funds of the Key Laboratory of Integrated Monitoring and Applied Technologies for Marin Harmful Algal Blooms, SOA[MATHA201120204] ; Scientific Research Project of Shanghai Marine Bureau[HuHaiKe2016-05] ; Ocean Public Welfare Scientific Research Project, State Oceanic Administration of the People's Republic of China[201305027] ; Ocean Public Welfare Scientific Research Project, State Oceanic Administration of the People's Republic of China[201505008]
WOS关键词	VARIANCE
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000393672200014
资助机构	National Natural Science Fundation of China ; Open Funds of the Key Laboratory of Integrated Monitoring and Applied Technologies for Marin Harmful Algal Blooms, SOA ; Scientific Research Project of Shanghai Marine Bureau ; Ocean Public Welfare Scientific Research Project, State Oceanic Administration of the People's Republic of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64893]
专题	中国科学院地理科学与资源研究所
通讯作者	Gao Bingbo
作者单位	1.State Ocean Adm, East China Sea Environm Monitoring Ctr, Shanghai 201206, Peoples R China 2.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100037, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Fan Haimei,Gao Bingbo,Xu Ren,et al. Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity[J]. ACTA OCEANOLOGICA SINICA,2017,36(2):111-121.
APA	Fan Haimei,Gao Bingbo,Xu Ren,&Wang Jinfeng.(2017).Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity.ACTA OCEANOLOGICA SINICA,36(2),111-121.
MLA	Fan Haimei,et al."Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity".ACTA OCEANOLOGICA SINICA 36.2(2017):111-121.