Artificial groundwater recharge zones mapping using remote sensing and GIS: a case study in Indian Punjab.
Identifieur interne : 000436 ( Ncbi/Merge ); précédent : 000435; suivant : 000437Artificial groundwater recharge zones mapping using remote sensing and GIS: a case study in Indian Punjab.
Auteurs : Amanpreet Singh [Inde] ; S N Panda ; K S Kumar ; Chandra Shekhar SharmaSource :
- Environmental management [ 1432-1009 ] ; 2013.
Descripteurs français
- Wicri :
- geographic : Inde.
English descriptors
- KwdEn :
- MESH :
- geographic : India.
- methods : Conservation of Natural Resources.
- Geographic Information Systems, Groundwater, Remote Sensing Technology.
Abstract
Artificial groundwater recharge plays a vital role in sustainable management of groundwater resources. The present study was carried out to identify the artificial groundwater recharge zones in Bist Doab basin of Indian Punjab using remote sensing and geographical information system (GIS) for augmenting groundwater resources. The study area has been facing severe water scarcity due to intensive agriculture for the past few years. The thematic layers considered in the present study are: geomorphology (2004), geology (2004), land use/land cover (2008), drainage density, slope, soil texture (2000), aquifer transmissivity, and specific yield. Different themes and related features were assigned proper weights based on their relative contribution to groundwater recharge. Normalized weights were computed using the Saaty's analytic hierarchy process. Thematic layers were integrated in ArcGIS for delineation of artificial groundwater recharge zones. The recharge map thus obtained was divided into four zones (poor, moderate, good, and very good) based on their influence to groundwater recharge. Results indicate that 15, 18, 37, and 30 % of the study area falls under "poor," "moderate," "good," and "very good" groundwater recharge zones, respectively. The highest recharge potential area is located towards western and parts of middle region because of high infiltration rates caused due to the distribution of flood plains, alluvial plain, and agricultural land. The least effective recharge potential is in the eastern and middle parts of the study area due to low infiltration rate. The results of the study can be used to formulate an efficient groundwater management plan for sustainable utilization of limited groundwater resources.
DOI: 10.1007/s00267-013-0101-1
PubMed: 23775493
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The present study was carried out to identify the artificial groundwater recharge zones in Bist Doab basin of Indian Punjab using remote sensing and geographical information system (GIS) for augmenting groundwater resources. The study area has been facing severe water scarcity due to intensive agriculture for the past few years. The thematic layers considered in the present study are: geomorphology (2004), geology (2004), land use/land cover (2008), drainage density, slope, soil texture (2000), aquifer transmissivity, and specific yield. Different themes and related features were assigned proper weights based on their relative contribution to groundwater recharge. Normalized weights were computed using the Saaty's analytic hierarchy process. Thematic layers were integrated in ArcGIS for delineation of artificial groundwater recharge zones. The recharge map thus obtained was divided into four zones (poor, moderate, good, and very good) based on their influence to groundwater recharge. Results indicate that 15, 18, 37, and 30 % of the study area falls under "poor," "moderate," "good," and "very good" groundwater recharge zones, respectively. The highest recharge potential area is located towards western and parts of middle region because of high infiltration rates caused due to the distribution of flood plains, alluvial plain, and agricultural land. The least effective recharge potential is in the eastern and middle parts of the study area due to low infiltration rate. The results of the study can be used to formulate an efficient groundwater management plan for sustainable utilization of limited groundwater resources.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23775493</PMID><DateCreated><Year>2013</Year><Month>06</Month><Day>28</Day></DateCreated><DateCompleted><Year>2014</Year><Month>01</Month><Day>23</Day></DateCompleted><DateRevised><Year>2013</Year><Month>06</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1432-1009</ISSN><JournalIssue CitedMedium="Internet"><Volume>52</Volume><Issue>1</Issue><PubDate><Year>2013</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Environmental management</Title><ISOAbbreviation>Environ Manage</ISOAbbreviation></Journal><ArticleTitle>Artificial groundwater recharge zones mapping using remote sensing and GIS: a case study in Indian Punjab.</ArticleTitle><Pagination><MedlinePgn>61-71</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s00267-013-0101-1</ELocationID><Abstract><AbstractText>Artificial groundwater recharge plays a vital role in sustainable management of groundwater resources. The present study was carried out to identify the artificial groundwater recharge zones in Bist Doab basin of Indian Punjab using remote sensing and geographical information system (GIS) for augmenting groundwater resources. The study area has been facing severe water scarcity due to intensive agriculture for the past few years. The thematic layers considered in the present study are: geomorphology (2004), geology (2004), land use/land cover (2008), drainage density, slope, soil texture (2000), aquifer transmissivity, and specific yield. Different themes and related features were assigned proper weights based on their relative contribution to groundwater recharge. Normalized weights were computed using the Saaty's analytic hierarchy process. Thematic layers were integrated in ArcGIS for delineation of artificial groundwater recharge zones. The recharge map thus obtained was divided into four zones (poor, moderate, good, and very good) based on their influence to groundwater recharge. Results indicate that 15, 18, 37, and 30 % of the study area falls under "poor," "moderate," "good," and "very good" groundwater recharge zones, respectively. The highest recharge potential area is located towards western and parts of middle region because of high infiltration rates caused due to the distribution of flood plains, alluvial plain, and agricultural land. The least effective recharge potential is in the eastern and middle parts of the study area due to low infiltration rate. The results of the study can be used to formulate an efficient groundwater management plan for sustainable utilization of limited groundwater resources.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Amanpreet</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India. amanpreetsingh6501@gmail.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Panda</LastName><ForeName>S N</ForeName><Initials>SN</Initials></Author><Author ValidYN="Y"><LastName>Kumar</LastName><ForeName>K S</ForeName><Initials>KS</Initials></Author><Author ValidYN="Y"><LastName>Sharma</LastName><ForeName>Chandra Shekhar</ForeName><Initials>CS</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>06</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Environ Manage</MedlineTA><NlmUniqueID>7703893</NlmUniqueID><ISSNLinking>0364-152X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D003247" MajorTopicYN="N">Conservation of Natural Resources</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040362" MajorTopicYN="N">Geographic Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D060587" MajorTopicYN="Y">Groundwater</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007194" MajorTopicYN="N" Type="Geographic">India</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058998" MajorTopicYN="N">Remote Sensing Technology</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2011</Year><Month>12</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>06</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>6</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>6</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>1</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23775493</ArticleId><ArticleId IdType="doi">10.1007/s00267-013-0101-1</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Inde</li></country></list><tree><noCountry><name sortKey="Kumar, K S" sort="Kumar, K S" uniqKey="Kumar K" first="K S" last="Kumar">K S Kumar</name><name sortKey="Panda, S N" sort="Panda, S N" uniqKey="Panda S" first="S N" last="Panda">S N Panda</name><name sortKey="Sharma, Chandra Shekhar" sort="Sharma, Chandra Shekhar" uniqKey="Sharma C" first="Chandra Shekhar" last="Sharma">Chandra Shekhar Sharma</name></noCountry><country name="Inde"><noRegion><name sortKey="Singh, Amanpreet" sort="Singh, Amanpreet" uniqKey="Singh A" first="Amanpreet" last="Singh">Amanpreet Singh</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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