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Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory
Ren, Jing1,2; Gao, Bing-Bo1,2; Fan, Hai-Mei3; Zhang, Zhi-Hong5; Zhang, Yao4; Wang, Jin-Feng2,6
2016-12-15
Source PublicationMARINE POLLUTION BULLETIN
ISSN0025-326X
Volume113Issue:1-2Pages:216-223
Corresponding AuthorFan, Hai-Mei(fhm@eastsea.gov.cn) ; Wang, Jin-Feng(wangjf@lreis.ac.cn)
AbstractReliable assessment of water quality is a critical issue for estuaries. Nutrient concentrations show significant spatial distinctions between areas under the influence of fresh-sea water interaction and anthropogenic effects. For this situation, given the limitations of general mean estimation approaches, a new method for surfaces with non homogeneity (MSN) was applied to obtain optimized linear unbiased estimations of the mean nutrient concentrations in the study area in the Yangtze estuary from 2011 to 2013. Other mean estimation methods, including block Kriging (BK), simple random sampling (SS) and stratified sampling (ST) inference, were applied simultaneously for comparison. Their performance was evaluated by estimation error. The results show that MSN had the highest accuracy, while SS had the highest estimation error. ST and BK were intermediate in terms of their performance. Thus, MSN is an appropriate method that can be adopted to reduce the uncertainty of mean pollutant estimation in estuaries. (C) 2016 Elsevier Ltd. All rights reserved.
KeywordMSN Pollutant Mean concentration Variance of estimation error Yangtze estuary
DOI10.1016/j.marpolbul.2016.09.021
WOS KeywordINORGANIC NITROGEN ; RIVER ESTUARY ; CHINA ; UNCERTAINTY ; REGION ; SCALE
Indexed BySCI
Language英语
Funding ProjectNSFC[41271404] ; NSFC[41601425] ; MOST[2012CB955503]
Funding OrganizationNSFC ; MOST
WOS Research AreaEnvironmental Sciences & Ecology ; Marine & Freshwater Biology
WOS SubjectEnvironmental Sciences ; Marine & Freshwater Biology
WOS IDWOS:000390734600043
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65285
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFan, Hai-Mei; Wang, Jin-Feng
Affiliation1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
3.East China Sea Marine Environm Monitoring Ctr, Shanghai, Peoples R China
4.State Ocean Adm, Natl Marine Hazard Mitigat Serv, Beijing, Peoples R China
5.Chinese Acad Environm Planning, Ctr Environm Risk & Damage Assessment, Beijing, Peoples R China
6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Ren, Jing,Gao, Bing-Bo,Fan, Hai-Mei,et al. Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory[J]. MARINE POLLUTION BULLETIN,2016,113(1-2):216-223.
APA Ren, Jing,Gao, Bing-Bo,Fan, Hai-Mei,Zhang, Zhi-Hong,Zhang, Yao,&Wang, Jin-Feng.(2016).Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory.MARINE POLLUTION BULLETIN,113(1-2),216-223.
MLA Ren, Jing,et al."Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory".MARINE POLLUTION BULLETIN 113.1-2(2016):216-223.
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