中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory

文献类型:期刊论文

作者Ren, Jing1,2; Gao, Bing-Bo1,2; Fan, Hai-Mei3; Zhang, Zhi-Hong5; Zhang, Yao4; Wang, Jin-Feng2,6
刊名MARINE POLLUTION BULLETIN
出版日期2016-12-15
卷号113期号:1-2页码:216-223
关键词MSN Pollutant Mean concentration Variance of estimation error Yangtze estuary
ISSN号0025-326X
DOI10.1016/j.marpolbul.2016.09.021
通讯作者Fan, Hai-Mei(fhm@eastsea.gov.cn) ; Wang, Jin-Feng(wangjf@lreis.ac.cn)
英文摘要Reliable 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.
WOS关键词INORGANIC NITROGEN ; RIVER ESTUARY ; CHINA ; UNCERTAINTY ; REGION ; SCALE
资助项目NSFC[41271404] ; NSFC[41601425] ; MOST[2012CB955503]
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology
语种英语
WOS记录号WOS:000390734600043
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构NSFC ; MOST
源URL[http://ir.igsnrr.ac.cn/handle/311030/65284]  
专题中国科学院地理科学与资源研究所
通讯作者Fan, Hai-Mei; Wang, Jin-Feng
作者单位1.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
推荐引用方式
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.

入库方式: OAI收割

来源:地理科学与资源研究所

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