Tracer-based estimation of temporal variation of water sources: an insight from supra- and subglacial environments
The temporal variations in electrical conductivity and the stable isotopes of water, δD and δ 18 O, were examined at Chhota Shigri Glacier, India, to understand water sources and flow paths to discharge. Discharge is highly influenced by supraglacially derived meltwater during peak ablation, and sub...
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| Veröffentlicht in: | Hydrological sciences journal 2018-08, Vol.63 (11), p.1717-1732 |
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| container_title | Hydrological sciences journal |
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| creator | Kumar, Naveen Ramanathan, AL Keesari, Tirumalesh Chidambaram, S. Ranjan, Shyam Soheb, Mohd Tranter, Martyn |
| description | The temporal variations in electrical conductivity and the stable isotopes of water, δD and δ
18
O, were examined at Chhota Shigri Glacier, India, to understand water sources and flow paths to discharge. Discharge is highly influenced by supraglacially derived meltwater during peak ablation, and subglacial meltwaters are more prominent at the end of the melt season. The slope of the best fit linear regression line for δD versus δ
18
O, for both supraglacial and runoff water, is lower than that for precipitation (snow and rain) and surface ice, indicating strong isotopic fractionation associated with the melting processes. The slope of the local meteoric water line (LMWL) is close to that of the global meteoric water line (GMWL), reflecting that the moisture source is predominantly oceanic. The d-excess variation in rainwater confirms that the southwest monsoon is the main contributor during summer while the remainder including winter is mostly influenced by westerlies. |
| doi_str_mv | 10.1080/02626667.2018.1526381 |
| format | Article |
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18
O, were examined at Chhota Shigri Glacier, India, to understand water sources and flow paths to discharge. Discharge is highly influenced by supraglacially derived meltwater during peak ablation, and subglacial meltwaters are more prominent at the end of the melt season. The slope of the best fit linear regression line for δD versus δ
18
O, for both supraglacial and runoff water, is lower than that for precipitation (snow and rain) and surface ice, indicating strong isotopic fractionation associated with the melting processes. The slope of the local meteoric water line (LMWL) is close to that of the global meteoric water line (GMWL), reflecting that the moisture source is predominantly oceanic. The d-excess variation in rainwater confirms that the southwest monsoon is the main contributor during summer while the remainder including winter is mostly influenced by westerlies.</description><identifier>ISSN: 0262-6667</identifier><identifier>EISSN: 2150-3435</identifier><identifier>DOI: 10.1080/02626667.2018.1526381</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Ablation ; Chhota Shigri Glacier ; d-excess ; Electrical conductivity ; Electrical resistivity ; Flow paths ; Fractionation ; Glaciers ; Glaciohydrology ; India ; Isotope fractionation ; Isotopes ; isotopic fractionation ; Meltwater ; Meteoric water ; Monsoons ; Precipitation ; Rain ; Rain water ; Rainfall ; Runoff ; Slopes ; Southwest monsoon ; Stable isotopes ; subglacial ; supraglacial ; Temporal variations ; Tracers ; Water sources ; Westerlies</subject><ispartof>Hydrological sciences journal, 2018-08, Vol.63 (11), p.1717-1732</ispartof><rights>2018 IAHS 2018</rights><rights>2018 IAHS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-c44b7b53a84b525643ae6359064dc7348fd54e9fc8e2f49f831a74b761dc7c23</citedby><cites>FETCH-LOGICAL-c338t-c44b7b53a84b525643ae6359064dc7348fd54e9fc8e2f49f831a74b761dc7c23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/02626667.2018.1526381$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/02626667.2018.1526381$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,59624,60413</link.rule.ids></links><search><creatorcontrib>Kumar, Naveen</creatorcontrib><creatorcontrib>Ramanathan, AL</creatorcontrib><creatorcontrib>Keesari, Tirumalesh</creatorcontrib><creatorcontrib>Chidambaram, S.</creatorcontrib><creatorcontrib>Ranjan, Shyam</creatorcontrib><creatorcontrib>Soheb, Mohd</creatorcontrib><creatorcontrib>Tranter, Martyn</creatorcontrib><title>Tracer-based estimation of temporal variation of water sources: an insight from supra- and subglacial environments</title><title>Hydrological sciences journal</title><description>The temporal variations in electrical conductivity and the stable isotopes of water, δD and δ
18
O, were examined at Chhota Shigri Glacier, India, to understand water sources and flow paths to discharge. Discharge is highly influenced by supraglacially derived meltwater during peak ablation, and subglacial meltwaters are more prominent at the end of the melt season. The slope of the best fit linear regression line for δD versus δ
18
O, for both supraglacial and runoff water, is lower than that for precipitation (snow and rain) and surface ice, indicating strong isotopic fractionation associated with the melting processes. The slope of the local meteoric water line (LMWL) is close to that of the global meteoric water line (GMWL), reflecting that the moisture source is predominantly oceanic. The d-excess variation in rainwater confirms that the southwest monsoon is the main contributor during summer while the remainder including winter is mostly influenced by westerlies.</description><subject>Ablation</subject><subject>Chhota Shigri Glacier</subject><subject>d-excess</subject><subject>Electrical conductivity</subject><subject>Electrical resistivity</subject><subject>Flow paths</subject><subject>Fractionation</subject><subject>Glaciers</subject><subject>Glaciohydrology</subject><subject>India</subject><subject>Isotope fractionation</subject><subject>Isotopes</subject><subject>isotopic fractionation</subject><subject>Meltwater</subject><subject>Meteoric water</subject><subject>Monsoons</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rain water</subject><subject>Rainfall</subject><subject>Runoff</subject><subject>Slopes</subject><subject>Southwest monsoon</subject><subject>Stable isotopes</subject><subject>subglacial</subject><subject>supraglacial</subject><subject>Temporal variations</subject><subject>Tracers</subject><subject>Water sources</subject><subject>Westerlies</subject><issn>0262-6667</issn><issn>2150-3435</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoOD5-ghBw3THvtq4U8QWCm9mHNE3GDG0y3nQU_70poy5dJZycc-7Nh9AFJUtKGnJFmGJKqXrJCG2WVDLFG3qAFoxKUnHB5SFazJ5qNh2jk5w3hHDRKr5AsAJjHVSdya7HLk9hNFNIESePJzduE5gBfxgIf-qnmRzgnHZgXb7GJuIQc1i_TdhDGnHebcFURe7LtVsPxobS4OJHgBRHF6d8ho68GbI7_zlP0erhfnX3VL28Pj7f3b5UlvNmqqwQXd1JbhrRSSaV4MYpLluiRG9rLhrfS-FabxvHvGh9w6mpS0TR8mwZP0WX-9otpPdd-ZnelJ1jmagZZbUUpK1nl9y7LKScwXm9hYIAvjQleqarf-nqma7-oVtyN_tciD7BaD4TDL2ezNeQwIOJNmTN_6_4Bo2Zgn8</recordid><startdate>20180818</startdate><enddate>20180818</enddate><creator>Kumar, Naveen</creator><creator>Ramanathan, AL</creator><creator>Keesari, Tirumalesh</creator><creator>Chidambaram, S.</creator><creator>Ranjan, Shyam</creator><creator>Soheb, Mohd</creator><creator>Tranter, Martyn</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>20180818</creationdate><title>Tracer-based estimation of temporal variation of water sources: an insight from supra- and subglacial environments</title><author>Kumar, Naveen ; Ramanathan, AL ; Keesari, Tirumalesh ; Chidambaram, S. ; Ranjan, Shyam ; Soheb, Mohd ; Tranter, Martyn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-c44b7b53a84b525643ae6359064dc7348fd54e9fc8e2f49f831a74b761dc7c23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Ablation</topic><topic>Chhota Shigri Glacier</topic><topic>d-excess</topic><topic>Electrical conductivity</topic><topic>Electrical resistivity</topic><topic>Flow paths</topic><topic>Fractionation</topic><topic>Glaciers</topic><topic>Glaciohydrology</topic><topic>India</topic><topic>Isotope fractionation</topic><topic>Isotopes</topic><topic>isotopic fractionation</topic><topic>Meltwater</topic><topic>Meteoric water</topic><topic>Monsoons</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rain water</topic><topic>Rainfall</topic><topic>Runoff</topic><topic>Slopes</topic><topic>Southwest monsoon</topic><topic>Stable isotopes</topic><topic>subglacial</topic><topic>supraglacial</topic><topic>Temporal variations</topic><topic>Tracers</topic><topic>Water sources</topic><topic>Westerlies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Naveen</creatorcontrib><creatorcontrib>Ramanathan, AL</creatorcontrib><creatorcontrib>Keesari, Tirumalesh</creatorcontrib><creatorcontrib>Chidambaram, S.</creatorcontrib><creatorcontrib>Ranjan, Shyam</creatorcontrib><creatorcontrib>Soheb, Mohd</creatorcontrib><creatorcontrib>Tranter, Martyn</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Hydrological sciences journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Naveen</au><au>Ramanathan, AL</au><au>Keesari, Tirumalesh</au><au>Chidambaram, S.</au><au>Ranjan, Shyam</au><au>Soheb, Mohd</au><au>Tranter, Martyn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tracer-based estimation of temporal variation of water sources: an insight from supra- and subglacial environments</atitle><jtitle>Hydrological sciences journal</jtitle><date>2018-08-18</date><risdate>2018</risdate><volume>63</volume><issue>11</issue><spage>1717</spage><epage>1732</epage><pages>1717-1732</pages><issn>0262-6667</issn><eissn>2150-3435</eissn><abstract>The temporal variations in electrical conductivity and the stable isotopes of water, δD and δ
18
O, were examined at Chhota Shigri Glacier, India, to understand water sources and flow paths to discharge. Discharge is highly influenced by supraglacially derived meltwater during peak ablation, and subglacial meltwaters are more prominent at the end of the melt season. The slope of the best fit linear regression line for δD versus δ
18
O, for both supraglacial and runoff water, is lower than that for precipitation (snow and rain) and surface ice, indicating strong isotopic fractionation associated with the melting processes. The slope of the local meteoric water line (LMWL) is close to that of the global meteoric water line (GMWL), reflecting that the moisture source is predominantly oceanic. The d-excess variation in rainwater confirms that the southwest monsoon is the main contributor during summer while the remainder including winter is mostly influenced by westerlies.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/02626667.2018.1526381</doi><tpages>16</tpages></addata></record> |
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| subjects | Ablation Chhota Shigri Glacier d-excess Electrical conductivity Electrical resistivity Flow paths Fractionation Glaciers Glaciohydrology India Isotope fractionation Isotopes isotopic fractionation Meltwater Meteoric water Monsoons Precipitation Rain Rain water Rainfall Runoff Slopes Southwest monsoon Stable isotopes subglacial supraglacial Temporal variations Tracers Water sources Westerlies |
| title | Tracer-based estimation of temporal variation of water sources: an insight from supra- and subglacial environments |
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