Catchment-Scale Permafrost Mapping using Spring Water Characteristics
This study presents a method for mapping the spatial distribution of mountain permafrost based on the chemical-physical characterisation of spring water in a 36 km2 high-elevation catchment in the Eastern Italian Alps. Water temperature, electrical conductivity and isotopic composition (δ2H and δ18O...
Published in: | Permafrost and Periglacial Processes |
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Online Access: | http://hdl.handle.net/11571/1146242 https://doi.org/10.1002/ppp.1875 http://www.interscience.wiley.com/jpages/1045-6740 |
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ftunivpavia:oai:iris.unipv.it:11571/1146242 2024-04-14T08:18:05+00:00 Catchment-Scale Permafrost Mapping using Spring Water Characteristics Carturan, Luca Zuecco, Giulia SEPPI, ROBERTO Zanoner, Thomas Borga, Marco Carton, Alberto Dalla Fontana, Giancarlo Carturan, Luca Zuecco, Giulia Seppi, Roberto Zanoner, Thoma Borga, Marco Carton, Alberto Dalla Fontana, Giancarlo 2016 STAMPA http://hdl.handle.net/11571/1146242 https://doi.org/10.1002/ppp.1875 http://www.interscience.wiley.com/jpages/1045-6740 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000383680300001 volume:27 issue:3 firstpage:253 lastpage:270 numberofpages:18 journal:PERMAFROST AND PERIGLACIAL PROCESSES http://hdl.handle.net/11571/1146242 doi:10.1002/ppp.1875 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84950326891 http://www.interscience.wiley.com/jpages/1045-6740 Eastern Italian Alp Permafrost mapping Rock glacier Spring water Earth-Surface Processes info:eu-repo/semantics/article 2016 ftunivpavia https://doi.org/10.1002/ppp.1875 2024-03-21T16:01:31Z This study presents a method for mapping the spatial distribution of mountain permafrost based on the chemical-physical characterisation of spring water in a 36 km2 high-elevation catchment in the Eastern Italian Alps. Water temperature, electrical conductivity and isotopic composition (δ2H and δ18O) were measured in 45 springs during summer 2007, 2010 and 2012. Existing evidence of permafrost enabled the areas upslope of springs to be classified into two categories of permafrost occurrence (probable permafrost and no permafrost) and used to determine the most suitable tracer for permafrost mapping. Springs from probable permafrost areas have a specific water temperature signature. Spring water temperature was therefore used as a response variable in multiple linear regression, and mean elevation and mean clear sky radiation of spring upslope areas were used as predictors. The multiple regression models were statistically significant and used to map the potential spatial distribution of spring water temperature, which was reclassified into three permafrost categories (probable, possible and improbable). Cross-validation and independent validation by ground surface temperature data provided evidence that the spring water temperature can be used alone for easy and low-cost assessment of the catchment-scale permafrost distribution in similar alpine catchments. Article in Journal/Newspaper permafrost IRIS UNIPV (Università degli studi di Pavia) Permafrost and Periglacial Processes 27 3 253 270 |
institution |
Open Polar |
collection |
IRIS UNIPV (Università degli studi di Pavia) |
op_collection_id |
ftunivpavia |
language |
English |
topic |
Eastern Italian Alp Permafrost mapping Rock glacier Spring water Earth-Surface Processes |
spellingShingle |
Eastern Italian Alp Permafrost mapping Rock glacier Spring water Earth-Surface Processes Carturan, Luca Zuecco, Giulia SEPPI, ROBERTO Zanoner, Thomas Borga, Marco Carton, Alberto Dalla Fontana, Giancarlo Catchment-Scale Permafrost Mapping using Spring Water Characteristics |
topic_facet |
Eastern Italian Alp Permafrost mapping Rock glacier Spring water Earth-Surface Processes |
description |
This study presents a method for mapping the spatial distribution of mountain permafrost based on the chemical-physical characterisation of spring water in a 36 km2 high-elevation catchment in the Eastern Italian Alps. Water temperature, electrical conductivity and isotopic composition (δ2H and δ18O) were measured in 45 springs during summer 2007, 2010 and 2012. Existing evidence of permafrost enabled the areas upslope of springs to be classified into two categories of permafrost occurrence (probable permafrost and no permafrost) and used to determine the most suitable tracer for permafrost mapping. Springs from probable permafrost areas have a specific water temperature signature. Spring water temperature was therefore used as a response variable in multiple linear regression, and mean elevation and mean clear sky radiation of spring upslope areas were used as predictors. The multiple regression models were statistically significant and used to map the potential spatial distribution of spring water temperature, which was reclassified into three permafrost categories (probable, possible and improbable). Cross-validation and independent validation by ground surface temperature data provided evidence that the spring water temperature can be used alone for easy and low-cost assessment of the catchment-scale permafrost distribution in similar alpine catchments. |
author2 |
Carturan, Luca Zuecco, Giulia Seppi, Roberto Zanoner, Thoma Borga, Marco Carton, Alberto Dalla Fontana, Giancarlo |
format |
Article in Journal/Newspaper |
author |
Carturan, Luca Zuecco, Giulia SEPPI, ROBERTO Zanoner, Thomas Borga, Marco Carton, Alberto Dalla Fontana, Giancarlo |
author_facet |
Carturan, Luca Zuecco, Giulia SEPPI, ROBERTO Zanoner, Thomas Borga, Marco Carton, Alberto Dalla Fontana, Giancarlo |
author_sort |
Carturan, Luca |
title |
Catchment-Scale Permafrost Mapping using Spring Water Characteristics |
title_short |
Catchment-Scale Permafrost Mapping using Spring Water Characteristics |
title_full |
Catchment-Scale Permafrost Mapping using Spring Water Characteristics |
title_fullStr |
Catchment-Scale Permafrost Mapping using Spring Water Characteristics |
title_full_unstemmed |
Catchment-Scale Permafrost Mapping using Spring Water Characteristics |
title_sort |
catchment-scale permafrost mapping using spring water characteristics |
publishDate |
2016 |
url |
http://hdl.handle.net/11571/1146242 https://doi.org/10.1002/ppp.1875 http://www.interscience.wiley.com/jpages/1045-6740 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000383680300001 volume:27 issue:3 firstpage:253 lastpage:270 numberofpages:18 journal:PERMAFROST AND PERIGLACIAL PROCESSES http://hdl.handle.net/11571/1146242 doi:10.1002/ppp.1875 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84950326891 http://www.interscience.wiley.com/jpages/1045-6740 |
op_doi |
https://doi.org/10.1002/ppp.1875 |
container_title |
Permafrost and Periglacial Processes |
container_volume |
27 |
container_issue |
3 |
container_start_page |
253 |
op_container_end_page |
270 |
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1796317474530000896 |