Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins
Surface and groundwater in large pan-Arctic river basins are changing rapidly. High-quality estimates of these changes are challenging because of the limits on the data quality and time span of satellite observations. Here, the term pan-Arctic river refers to the rivers flowing to the Arctic Ocean b...
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Online Access: | https://doi.org/10.3390/rs14030607 https://doaj.org/article/9f96445291a944c0adfac06d6c8274ae |
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ftdoajarticles:oai:doaj.org/article:9f96445291a944c0adfac06d6c8274ae 2023-05-15T14:38:17+02:00 Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins Hong Lin Xiao Cheng Lei Zheng Xiaoqing Peng Wei Feng Fukai Peng 2022-01-01T00:00:00Z https://doi.org/10.3390/rs14030607 https://doaj.org/article/9f96445291a944c0adfac06d6c8274ae EN eng MDPI AG https://www.mdpi.com/2072-4292/14/3/607 https://doaj.org/toc/2072-4292 doi:10.3390/rs14030607 2072-4292 https://doaj.org/article/9f96445291a944c0adfac06d6c8274ae Remote Sensing, Vol 14, Iss 607, p 607 (2022) Arctic groundwater storage surface water GRACE gravity remote sensing Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14030607 2022-12-31T14:43:10Z Surface and groundwater in large pan-Arctic river basins are changing rapidly. High-quality estimates of these changes are challenging because of the limits on the data quality and time span of satellite observations. Here, the term pan-Arctic river refers to the rivers flowing to the Arctic Ocean basin. In this study, we provide a new evaluation of groundwater storage (GWS) changes in the Lena, Ob, Yenisei, Mackenzie and Yukon River basins from the GRACE total water storage anomaly product, in situ runoff, soil moisture form models and a snow water equivalent product that has been significantly improved. Seasonal Trend decomposition using Loess was utilized to obtain trends in GWS. Changes in surface water (SW) between 1984 and 2019 in these basins were also examined based on the Joint Research Centre Global Surface Water Transition data. Results suggested that there were great GWS losses in the North American river basins, totaling approximately −219 km 3 , and GWS gains in the Siberian river basins, totaling ~340 km 3 , during 2002–2017. New seasonal and permanent SWs are the primary contributors to the SW transition, accounting for more than 50% of the area of the changed SW in each basin. Changes in the Arctic hydrological system will be more significant and various in the case of rapid and continuous changes in permafrost. Article in Journal/Newspaper Arctic Arctic Ocean permafrost Yukon river Yukon Directory of Open Access Journals: DOAJ Articles American River ENVELOPE(-106.568,-106.568,57.317,57.317) Arctic Arctic Ocean Yukon Remote Sensing 14 3 607 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic groundwater storage surface water GRACE gravity remote sensing Science Q |
spellingShingle |
Arctic groundwater storage surface water GRACE gravity remote sensing Science Q Hong Lin Xiao Cheng Lei Zheng Xiaoqing Peng Wei Feng Fukai Peng Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins |
topic_facet |
Arctic groundwater storage surface water GRACE gravity remote sensing Science Q |
description |
Surface and groundwater in large pan-Arctic river basins are changing rapidly. High-quality estimates of these changes are challenging because of the limits on the data quality and time span of satellite observations. Here, the term pan-Arctic river refers to the rivers flowing to the Arctic Ocean basin. In this study, we provide a new evaluation of groundwater storage (GWS) changes in the Lena, Ob, Yenisei, Mackenzie and Yukon River basins from the GRACE total water storage anomaly product, in situ runoff, soil moisture form models and a snow water equivalent product that has been significantly improved. Seasonal Trend decomposition using Loess was utilized to obtain trends in GWS. Changes in surface water (SW) between 1984 and 2019 in these basins were also examined based on the Joint Research Centre Global Surface Water Transition data. Results suggested that there were great GWS losses in the North American river basins, totaling approximately −219 km 3 , and GWS gains in the Siberian river basins, totaling ~340 km 3 , during 2002–2017. New seasonal and permanent SWs are the primary contributors to the SW transition, accounting for more than 50% of the area of the changed SW in each basin. Changes in the Arctic hydrological system will be more significant and various in the case of rapid and continuous changes in permafrost. |
format |
Article in Journal/Newspaper |
author |
Hong Lin Xiao Cheng Lei Zheng Xiaoqing Peng Wei Feng Fukai Peng |
author_facet |
Hong Lin Xiao Cheng Lei Zheng Xiaoqing Peng Wei Feng Fukai Peng |
author_sort |
Hong Lin |
title |
Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins |
title_short |
Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins |
title_full |
Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins |
title_fullStr |
Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins |
title_full_unstemmed |
Recent Changes in Groundwater and Surface Water in Large Pan-Arctic River Basins |
title_sort |
recent changes in groundwater and surface water in large pan-arctic river basins |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14030607 https://doaj.org/article/9f96445291a944c0adfac06d6c8274ae |
long_lat |
ENVELOPE(-106.568,-106.568,57.317,57.317) |
geographic |
American River Arctic Arctic Ocean Yukon |
geographic_facet |
American River Arctic Arctic Ocean Yukon |
genre |
Arctic Arctic Ocean permafrost Yukon river Yukon |
genre_facet |
Arctic Arctic Ocean permafrost Yukon river Yukon |
op_source |
Remote Sensing, Vol 14, Iss 607, p 607 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/3/607 https://doaj.org/toc/2072-4292 doi:10.3390/rs14030607 2072-4292 https://doaj.org/article/9f96445291a944c0adfac06d6c8274ae |
op_doi |
https://doi.org/10.3390/rs14030607 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
3 |
container_start_page |
607 |
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1766310393396854784 |