Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory.
Identifieur interne : 000074 ( Main/Exploration ); précédent : 000073; suivant : 000075Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory.
Auteurs : Jing Ren [République populaire de Chine] ; Bing-Bo Gao [République populaire de Chine] ; Hai-Mei Fan [République populaire de Chine] ; Zhi-Hong Zhang [République populaire de Chine] ; Yao Zhang [République populaire de Chine] ; Jin-Feng Wang [République populaire de Chine]Source :
- Marine pollution bulletin [ 1879-3363 ] ; 2016.
Abstract
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.
DOI: 10.1016/j.marpolbul.2016.09.021
PubMed: 27665325
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000004
- to stream PubMed, to step Curation: 000004
- to stream PubMed, to step Checkpoint: 000004
- to stream Ncbi, to step Merge: 000676
- to stream Ncbi, to step Curation: 000676
- to stream Ncbi, to step Checkpoint: 000676
- to stream Main, to step Merge: 000073
- to stream Main, to step Curation: 000074
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory.</title><author><name sortKey="Ren, Jing" sort="Ren, Jing" uniqKey="Ren J" first="Jing" last="Ren">Jing Ren</name><affiliation wicri:level="3"><nlm:affiliation>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Gao, Bing Bo" sort="Gao, Bing Bo" uniqKey="Gao B" first="Bing-Bo" last="Gao">Bing-Bo Gao</name><affiliation wicri:level="3"><nlm:affiliation>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Fan, Hai Mei" sort="Fan, Hai Mei" uniqKey="Fan H" first="Hai-Mei" last="Fan">Hai-Mei Fan</name><affiliation wicri:level="1"><nlm:affiliation>East China Sea Marine Environmental Monitoring Center, Shanghai, China. Electronic address: fhm@eastsea.gov.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>East China Sea Marine Environmental Monitoring Center, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Zhi Hong" sort="Zhang, Zhi Hong" uniqKey="Zhang Z" first="Zhi-Hong" last="Zhang">Zhi-Hong Zhang</name><affiliation wicri:level="3"><nlm:affiliation>Center for Environmental Risk and Damage Assessment, Chinese Academy for Environmental Planning, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Environmental Risk and Damage Assessment, Chinese Academy for Environmental Planning, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Zhang, Yao" sort="Zhang, Yao" uniqKey="Zhang Y" first="Yao" last="Zhang">Yao Zhang</name><affiliation wicri:level="3"><nlm:affiliation>National Marine Hazard Mitigation Service, State Oceanic Administration, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>National Marine Hazard Mitigation Service, State Oceanic Administration, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Wang, Jin Feng" sort="Wang, Jin Feng" uniqKey="Wang J" first="Jin-Feng" last="Wang">Jin-Feng Wang</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China. Electronic address: wangjf@lreis.ac.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing</wicri:regionArea><wicri:noRegion>Nanjing</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:27665325</idno><idno type="pmid">27665325</idno><idno type="doi">10.1016/j.marpolbul.2016.09.021</idno><idno type="wicri:Area/PubMed/Corpus">000004</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000004</idno><idno type="wicri:Area/PubMed/Curation">000004</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000004</idno><idno type="wicri:Area/PubMed/Checkpoint">000004</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000004</idno><idno type="wicri:Area/Ncbi/Merge">000676</idno><idno type="wicri:Area/Ncbi/Curation">000676</idno><idno type="wicri:Area/Ncbi/Checkpoint">000676</idno><idno type="wicri:Area/Main/Merge">000073</idno><idno type="wicri:Area/Main/Curation">000074</idno><idno type="wicri:Area/Main/Exploration">000074</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory.</title><author><name sortKey="Ren, Jing" sort="Ren, Jing" uniqKey="Ren J" first="Jing" last="Ren">Jing Ren</name><affiliation wicri:level="3"><nlm:affiliation>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Gao, Bing Bo" sort="Gao, Bing Bo" uniqKey="Gao B" first="Bing-Bo" last="Gao">Bing-Bo Gao</name><affiliation wicri:level="3"><nlm:affiliation>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Fan, Hai Mei" sort="Fan, Hai Mei" uniqKey="Fan H" first="Hai-Mei" last="Fan">Hai-Mei Fan</name><affiliation wicri:level="1"><nlm:affiliation>East China Sea Marine Environmental Monitoring Center, Shanghai, China. Electronic address: fhm@eastsea.gov.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>East China Sea Marine Environmental Monitoring Center, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Zhi Hong" sort="Zhang, Zhi Hong" uniqKey="Zhang Z" first="Zhi-Hong" last="Zhang">Zhi-Hong Zhang</name><affiliation wicri:level="3"><nlm:affiliation>Center for Environmental Risk and Damage Assessment, Chinese Academy for Environmental Planning, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Environmental Risk and Damage Assessment, Chinese Academy for Environmental Planning, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Zhang, Yao" sort="Zhang, Yao" uniqKey="Zhang Y" first="Yao" last="Zhang">Yao Zhang</name><affiliation wicri:level="3"><nlm:affiliation>National Marine Hazard Mitigation Service, State Oceanic Administration, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>National Marine Hazard Mitigation Service, State Oceanic Administration, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Wang, Jin Feng" sort="Wang, Jin Feng" uniqKey="Wang J" first="Jin-Feng" last="Wang">Jin-Feng Wang</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China. Electronic address: wangjf@lreis.ac.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing</wicri:regionArea><wicri:noRegion>Nanjing</wicri:noRegion></affiliation></author></analytic><series><title level="j">Marine pollution bulletin</title><idno type="eISSN">1879-3363</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Pékin</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Ren, Jing" sort="Ren, Jing" uniqKey="Ren J" first="Jing" last="Ren">Jing Ren</name></noRegion><name sortKey="Fan, Hai Mei" sort="Fan, Hai Mei" uniqKey="Fan H" first="Hai-Mei" last="Fan">Hai-Mei Fan</name><name sortKey="Gao, Bing Bo" sort="Gao, Bing Bo" uniqKey="Gao B" first="Bing-Bo" last="Gao">Bing-Bo Gao</name><name sortKey="Wang, Jin Feng" sort="Wang, Jin Feng" uniqKey="Wang J" first="Jin-Feng" last="Wang">Jin-Feng Wang</name><name sortKey="Zhang, Yao" sort="Zhang, Yao" uniqKey="Zhang Y" first="Yao" last="Zhang">Yao Zhang</name><name sortKey="Zhang, Zhi Hong" sort="Zhang, Zhi Hong" uniqKey="Zhang Z" first="Zhi-Hong" last="Zhang">Zhi-Hong Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000074 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000074 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:27665325
|texte= Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:27665325" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a SisAgriV1
| This area was generated with Dilib version V0.6.28. |  |