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
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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 |
DOI | 10.1016/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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