[Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin].
Identifieur interne : 000150 ( PubMed/Checkpoint ); précédent : 000149; suivant : 000151[Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin].
Auteurs : Liang Zhou [République populaire de Chine] ; Jian-Gang Xu ; Dong-Qi Sun ; Tian-Hua NiSource :
- Huan jing ke xue= Huanjing kexue [ 0250-3301 ] ; 2013.
Descripteurs français
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Agriculture, Animals, Biological Oxygen Demand Analysis, China, Crops, Agricultural (growth & development), Fertilizers, Livestock (growth & development), Nitrogen (analysis), Phosphorus (analysis), Rivers, Spatial Analysis, Water Pollutants, Chemical (analysis), Water Pollution (prevention & control).
- MESH :
- chemical , analysis : Nitrogen, Phosphorus, Water Pollutants, Chemical.
- chemical : Fertilizers.
- geographic : China.
- growth & development : Crops, Agricultural, Livestock.
- prevention & control : Water Pollution.
- Agriculture, Animals, Biological Oxygen Demand Analysis, Rivers, Spatial Analysis.
Abstract
Agricultural non-point source pollution is of importance in river deterioration. Thus identifying and concentrated controlling the key source-areas are the most effective approaches for non-point source pollution control. This study adopts inventory method to analysis four kinds of pollution sources and their emissions intensity of the chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) in 173 counties (cities, districts) in Huaihe River Basin. The four pollution sources include livestock breeding, rural life, farmland cultivation, aquacultures. The paper mainly addresses identification of non-point polluted sensitivity areas, key pollution sources and its spatial distribution characteristics through cluster, sensitivity evaluation and spatial analysis. A geographic information system (GIS) and SPSS were used to carry out this study. The results show that: the COD, TN and TP emissions of agricultural non-point sources were 206.74 x 10(4) t, 66.49 x 10(4) t, 8.74 x 10(4) t separately in Huaihe River Basin in 2009; the emission intensity were 7.69, 2.47, 0.32 t.hm-2; the proportions of COD, TN, TP emissions were 73%, 24%, 3%. The paper achieves that: the major pollution source of COD, TN and TP was livestock breeding and rural life; the sensitivity areas and priority pollution control areas among the river basin of non-point source pollution are some sub-basins of the upper branches in Huaihe River, such as Shahe River, Yinghe River, Beiru River, Jialu River and Qingyi River; livestock breeding is the key pollution source in the priority pollution control areas. Finally, the paper concludes that pollution type of rural life has the highest pollution contribution rate, while comprehensive pollution is one type which is hard to control.
PubMed: 23668121
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:23668121Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin].</title><author><name sortKey="Zhou, Liang" sort="Zhou, Liang" uniqKey="Zhou L" first="Liang" last="Zhou">Liang Zhou</name><affiliation wicri:level="1"><nlm:affiliation>School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China. zhougeo@126.com</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093</wicri:regionArea><wicri:noRegion>Nanjing 210093</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Jian Gang" sort="Xu, Jian Gang" uniqKey="Xu J" first="Jian-Gang" last="Xu">Jian-Gang Xu</name></author><author><name sortKey="Sun, Dong Qi" sort="Sun, Dong Qi" uniqKey="Sun D" first="Dong-Qi" last="Sun">Dong-Qi Sun</name></author><author><name sortKey="Ni, Tian Hua" sort="Ni, Tian Hua" uniqKey="Ni T" first="Tian-Hua" last="Ni">Tian-Hua Ni</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:23668121</idno><idno type="pmid">23668121</idno><idno type="wicri:Area/PubMed/Corpus">000190</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000190</idno><idno type="wicri:Area/PubMed/Curation">000190</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000190</idno><idno type="wicri:Area/PubMed/Checkpoint">000190</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000190</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin].</title><author><name sortKey="Zhou, Liang" sort="Zhou, Liang" uniqKey="Zhou L" first="Liang" last="Zhou">Liang Zhou</name><affiliation wicri:level="1"><nlm:affiliation>School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China. zhougeo@126.com</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093</wicri:regionArea><wicri:noRegion>Nanjing 210093</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Jian Gang" sort="Xu, Jian Gang" uniqKey="Xu J" first="Jian-Gang" last="Xu">Jian-Gang Xu</name></author><author><name sortKey="Sun, Dong Qi" sort="Sun, Dong Qi" uniqKey="Sun D" first="Dong-Qi" last="Sun">Dong-Qi Sun</name></author><author><name sortKey="Ni, Tian Hua" sort="Ni, Tian Hua" uniqKey="Ni T" first="Tian-Hua" last="Ni">Tian-Hua Ni</name></author></analytic><series><title level="j">Huan jing ke xue= Huanjing kexue</title><idno type="ISSN">0250-3301</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture</term><term>Animals</term><term>Biological Oxygen Demand Analysis</term><term>China</term><term>Crops, Agricultural (growth & development)</term><term>Fertilizers</term><term>Livestock (growth & development)</term><term>Nitrogen (analysis)</term><term>Phosphorus (analysis)</term><term>Rivers</term><term>Spatial Analysis</term><term>Water Pollutants, Chemical (analysis)</term><term>Water Pollution (prevention & control)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Nitrogen</term><term>Phosphorus</term><term>Water Pollutants, Chemical</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Fertilizers</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Crops, Agricultural</term><term>Livestock</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Water Pollution</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Agriculture</term><term>Animals</term><term>Biological Oxygen Demand Analysis</term><term>Rivers</term><term>Spatial Analysis</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Agricultural non-point source pollution is of importance in river deterioration. Thus identifying and concentrated controlling the key source-areas are the most effective approaches for non-point source pollution control. This study adopts inventory method to analysis four kinds of pollution sources and their emissions intensity of the chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) in 173 counties (cities, districts) in Huaihe River Basin. The four pollution sources include livestock breeding, rural life, farmland cultivation, aquacultures. The paper mainly addresses identification of non-point polluted sensitivity areas, key pollution sources and its spatial distribution characteristics through cluster, sensitivity evaluation and spatial analysis. A geographic information system (GIS) and SPSS were used to carry out this study. The results show that: the COD, TN and TP emissions of agricultural non-point sources were 206.74 x 10(4) t, 66.49 x 10(4) t, 8.74 x 10(4) t separately in Huaihe River Basin in 2009; the emission intensity were 7.69, 2.47, 0.32 t.hm-2; the proportions of COD, TN, TP emissions were 73%, 24%, 3%. The paper achieves that: the major pollution source of COD, TN and TP was livestock breeding and rural life; the sensitivity areas and priority pollution control areas among the river basin of non-point source pollution are some sub-basins of the upper branches in Huaihe River, such as Shahe River, Yinghe River, Beiru River, Jialu River and Qingyi River; livestock breeding is the key pollution source in the priority pollution control areas. Finally, the paper concludes that pollution type of rural life has the highest pollution contribution rate, while comprehensive pollution is one type which is hard to control.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23668121</PMID><DateCreated><Year>2013</Year><Month>05</Month><Day>14</Day></DateCreated><DateCompleted><Year>2016</Year><Month>01</Month><Day>25</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>18</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0250-3301</ISSN><JournalIssue CitedMedium="Print"><Volume>34</Volume><Issue>2</Issue><PubDate><Year>2013</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Huan jing ke xue= Huanjing kexue</Title><ISOAbbreviation>Huan Jing Ke Xue</ISOAbbreviation></Journal><ArticleTitle>[Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin].</ArticleTitle><Pagination><MedlinePgn>547-54</MedlinePgn></Pagination><Abstract><AbstractText>Agricultural non-point source pollution is of importance in river deterioration. Thus identifying and concentrated controlling the key source-areas are the most effective approaches for non-point source pollution control. This study adopts inventory method to analysis four kinds of pollution sources and their emissions intensity of the chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) in 173 counties (cities, districts) in Huaihe River Basin. The four pollution sources include livestock breeding, rural life, farmland cultivation, aquacultures. The paper mainly addresses identification of non-point polluted sensitivity areas, key pollution sources and its spatial distribution characteristics through cluster, sensitivity evaluation and spatial analysis. A geographic information system (GIS) and SPSS were used to carry out this study. The results show that: the COD, TN and TP emissions of agricultural non-point sources were 206.74 x 10(4) t, 66.49 x 10(4) t, 8.74 x 10(4) t separately in Huaihe River Basin in 2009; the emission intensity were 7.69, 2.47, 0.32 t.hm-2; the proportions of COD, TN, TP emissions were 73%, 24%, 3%. The paper achieves that: the major pollution source of COD, TN and TP was livestock breeding and rural life; the sensitivity areas and priority pollution control areas among the river basin of non-point source pollution are some sub-basins of the upper branches in Huaihe River, such as Shahe River, Yinghe River, Beiru River, Jialu River and Qingyi River; livestock breeding is the key pollution source in the priority pollution control areas. Finally, the paper concludes that pollution type of rural life has the highest pollution contribution rate, while comprehensive pollution is one type which is hard to control.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhou</LastName><ForeName>Liang</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China. zhougeo@126.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Jian-Gang</ForeName><Initials>JG</Initials></Author><Author ValidYN="Y"><LastName>Sun</LastName><ForeName>Dong-Qi</ForeName><Initials>DQ</Initials></Author><Author ValidYN="Y"><LastName>Ni</LastName><ForeName>Tian-Hua</ForeName><Initials>TH</Initials></Author></AuthorList><Language>chi</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Huan Jing Ke Xue</MedlineTA><NlmUniqueID>8405344</NlmUniqueID><ISSNLinking>0250-3301</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005308">Fertilizers</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014874">Water Pollutants, Chemical</NameOfSubstance></Chemical><Chemical><RegistryNumber>27YLU75U4W</RegistryNumber><NameOfSubstance UI="D010758">Phosphorus</NameOfSubstance></Chemical><Chemical><RegistryNumber>N762921K75</RegistryNumber><NameOfSubstance UI="D009584">Nitrogen</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000383" MajorTopicYN="Y">Agriculture</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057919" MajorTopicYN="N">Biological Oxygen Demand Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018556" MajorTopicYN="N">Crops, Agricultural</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005308" MajorTopicYN="N">Fertilizers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058751" MajorTopicYN="N">Livestock</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009584" MajorTopicYN="N">Nitrogen</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010758" MajorTopicYN="N">Phosphorus</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062206" MajorTopicYN="Y">Spatial Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014874" MajorTopicYN="N">Water Pollutants, Chemical</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014876" MajorTopicYN="N">Water Pollution</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>5</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>5</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>1</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23668121</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><noCountry><name sortKey="Ni, Tian Hua" sort="Ni, Tian Hua" uniqKey="Ni T" first="Tian-Hua" last="Ni">Tian-Hua Ni</name><name sortKey="Sun, Dong Qi" sort="Sun, Dong Qi" uniqKey="Sun D" first="Dong-Qi" last="Sun">Dong-Qi Sun</name><name sortKey="Xu, Jian Gang" sort="Xu, Jian Gang" uniqKey="Xu J" first="Jian-Gang" last="Xu">Jian-Gang Xu</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Zhou, Liang" sort="Zhou, Liang" uniqKey="Zhou L" first="Liang" last="Zhou">Liang Zhou</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/PubMed/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000150 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd -nk 000150 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= PubMed
|étape= Checkpoint
|type= RBID
|clé= pubmed:23668121
|texte= [Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin].
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i -Sk "pubmed:23668121" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a SisAgriV1
| This area was generated with Dilib version V0.6.28. |  |