Loading…
Spatiotemporal Variations in Snow Cover and Hydrological Effects in the Upstream Region of the Shule River Catchment, Northwestern China
Precipitation and snow/ice melt water are the primary water sources in inland river basins in arid areas, and these are sensitive to global climate change. A dataset of snow cover in the upstream region of the Shule River catchment was established using MOD10A2 data from 2000 to 2019, and the spatio...
Saved in:
Published in: | Remote sensing (Basel, Switzerland) Switzerland), 2021-08, Vol.13 (16), p.3212 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313 |
---|---|
cites | cdi_FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313 |
container_end_page | |
container_issue | 16 |
container_start_page | 3212 |
container_title | Remote sensing (Basel, Switzerland) |
container_volume | 13 |
creator | Jiang, Youyan Du, Wentao Chen, Jizu Sun, Wenxuan |
description | Precipitation and snow/ice melt water are the primary water sources in inland river basins in arid areas, and these are sensitive to global climate change. A dataset of snow cover in the upstream region of the Shule River catchment was established using MOD10A2 data from 2000 to 2019, and the spatiotemporal variations in the snow cover and its meteorological, runoff, and topographic impacts were analyzed. The results show that the spatial distribution of the snow cover is highly uneven owing to altitude differences. The snow cover in spring and autumn is mainly concentrated along the edges of the region, whereas that in winter and summer is mainly distributed in the south. Notable differences in snow accumulation and melting are observed at different altitudes, and the annual variation in the snow cover extent shows bimodal characteristics. The correlation between the snow cover extent and runoff is most significant in April. The snow cover effectively replenishes the runoff at higher altitudes (3300–4900 m), but this contribution weakens with increasing altitude (>4900 m). The regions with a high snow cover frequency are mostly concentrated at high altitudes. Regions with slopes of 45°. The snow cover frequency and slope aspect show symmetrical changes. |
doi_str_mv | 10.3390/rs13163212 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_1a4803d4aead4aebb3611116f9842e70</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_1a4803d4aead4aebb3611116f9842e70</doaj_id><sourcerecordid>2565699182</sourcerecordid><originalsourceid>FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313</originalsourceid><addsrcrecordid>eNpNUdtKJDEQbWQFRX3xCwK-LY7m1pc8SuOugig46muo7q5MZ-jptElmxT_ws83MLGo9VBWHU6dOUVl2yuiFEIpe-sAEKwRnfC875LTkM8kV__WjP8hOQljSFEIwReVh9jGfIFoXcTU5DwN5AW83wBiIHcl8dG-kdv_QExg7cvPeeTe4hW0T89oYbOOWFnskz1OIHmFFHnGRxokzW3jerwckj3YjUUNs-xWO8ZzcOx_7NwwR_Ujq3o5wnO0bGAKe_K9H2fOf66f6Znb38Pe2vrqbtaJgcSYBKpWrkjadoQUzhpW0baThpckRqzIXTdE1kjNTGqFyLrFiWCDLq64DI5g4ym53up2DpZ68XYF_1w6s3gLOLzT4aNsBNQNZUdFJQNikpkkOUhRGVZJjSZPW2U5r8u51na7RS7f2Y7KveV7khVKs4on1e8dqvQvBo_nayqjePE5_P058AsD1i7k</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2565699182</pqid></control><display><type>article</type><title>Spatiotemporal Variations in Snow Cover and Hydrological Effects in the Upstream Region of the Shule River Catchment, Northwestern China</title><source>Publicly Available Content Database</source><creator>Jiang, Youyan ; Du, Wentao ; Chen, Jizu ; Sun, Wenxuan</creator><creatorcontrib>Jiang, Youyan ; Du, Wentao ; Chen, Jizu ; Sun, Wenxuan</creatorcontrib><description>Precipitation and snow/ice melt water are the primary water sources in inland river basins in arid areas, and these are sensitive to global climate change. A dataset of snow cover in the upstream region of the Shule River catchment was established using MOD10A2 data from 2000 to 2019, and the spatiotemporal variations in the snow cover and its meteorological, runoff, and topographic impacts were analyzed. The results show that the spatial distribution of the snow cover is highly uneven owing to altitude differences. The snow cover in spring and autumn is mainly concentrated along the edges of the region, whereas that in winter and summer is mainly distributed in the south. Notable differences in snow accumulation and melting are observed at different altitudes, and the annual variation in the snow cover extent shows bimodal characteristics. The correlation between the snow cover extent and runoff is most significant in April. The snow cover effectively replenishes the runoff at higher altitudes (3300–4900 m), but this contribution weakens with increasing altitude (>4900 m). The regions with a high snow cover frequency are mostly concentrated at high altitudes. Regions with slopes of <30° show a strong correlation with the snow cover frequency, which decreases for slopes of >45°. The snow cover frequency and slope aspect show symmetrical changes.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs13163212</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Altitude ; Annual variations ; Arid regions ; climate and topographic causes ; Climate change ; Cryosphere ; Global climate ; High altitude ; Hydrologic cycle ; hydrological effect ; Hydrology ; Meltwater ; Precipitation ; Quality control ; Rain ; Regions ; Remote sensing ; River basins ; River catchments ; Rivers ; Runoff ; Snow ; Snow accumulation ; Snow cover ; Software ; Spatial distribution ; spatiotemporal variations ; Time series ; Topography ; Upstream ; Weather</subject><ispartof>Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3212</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313</citedby><cites>FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2565699182/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2565699182?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,44566,74869</link.rule.ids></links><search><creatorcontrib>Jiang, Youyan</creatorcontrib><creatorcontrib>Du, Wentao</creatorcontrib><creatorcontrib>Chen, Jizu</creatorcontrib><creatorcontrib>Sun, Wenxuan</creatorcontrib><title>Spatiotemporal Variations in Snow Cover and Hydrological Effects in the Upstream Region of the Shule River Catchment, Northwestern China</title><title>Remote sensing (Basel, Switzerland)</title><description>Precipitation and snow/ice melt water are the primary water sources in inland river basins in arid areas, and these are sensitive to global climate change. A dataset of snow cover in the upstream region of the Shule River catchment was established using MOD10A2 data from 2000 to 2019, and the spatiotemporal variations in the snow cover and its meteorological, runoff, and topographic impacts were analyzed. The results show that the spatial distribution of the snow cover is highly uneven owing to altitude differences. The snow cover in spring and autumn is mainly concentrated along the edges of the region, whereas that in winter and summer is mainly distributed in the south. Notable differences in snow accumulation and melting are observed at different altitudes, and the annual variation in the snow cover extent shows bimodal characteristics. The correlation between the snow cover extent and runoff is most significant in April. The snow cover effectively replenishes the runoff at higher altitudes (3300–4900 m), but this contribution weakens with increasing altitude (>4900 m). The regions with a high snow cover frequency are mostly concentrated at high altitudes. Regions with slopes of <30° show a strong correlation with the snow cover frequency, which decreases for slopes of >45°. The snow cover frequency and slope aspect show symmetrical changes.</description><subject>Accuracy</subject><subject>Altitude</subject><subject>Annual variations</subject><subject>Arid regions</subject><subject>climate and topographic causes</subject><subject>Climate change</subject><subject>Cryosphere</subject><subject>Global climate</subject><subject>High altitude</subject><subject>Hydrologic cycle</subject><subject>hydrological effect</subject><subject>Hydrology</subject><subject>Meltwater</subject><subject>Precipitation</subject><subject>Quality control</subject><subject>Rain</subject><subject>Regions</subject><subject>Remote sensing</subject><subject>River basins</subject><subject>River catchments</subject><subject>Rivers</subject><subject>Runoff</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>Snow cover</subject><subject>Software</subject><subject>Spatial distribution</subject><subject>spatiotemporal variations</subject><subject>Time series</subject><subject>Topography</subject><subject>Upstream</subject><subject>Weather</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUdtKJDEQbWQFRX3xCwK-LY7m1pc8SuOugig46muo7q5MZ-jptElmxT_ws83MLGo9VBWHU6dOUVl2yuiFEIpe-sAEKwRnfC875LTkM8kV__WjP8hOQljSFEIwReVh9jGfIFoXcTU5DwN5AW83wBiIHcl8dG-kdv_QExg7cvPeeTe4hW0T89oYbOOWFnskz1OIHmFFHnGRxokzW3jerwckj3YjUUNs-xWO8ZzcOx_7NwwR_Ujq3o5wnO0bGAKe_K9H2fOf66f6Znb38Pe2vrqbtaJgcSYBKpWrkjadoQUzhpW0baThpckRqzIXTdE1kjNTGqFyLrFiWCDLq64DI5g4ym53up2DpZ68XYF_1w6s3gLOLzT4aNsBNQNZUdFJQNikpkkOUhRGVZJjSZPW2U5r8u51na7RS7f2Y7KveV7khVKs4on1e8dqvQvBo_nayqjePE5_P058AsD1i7k</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Jiang, Youyan</creator><creator>Du, Wentao</creator><creator>Chen, Jizu</creator><creator>Sun, Wenxuan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope></search><sort><creationdate>20210801</creationdate><title>Spatiotemporal Variations in Snow Cover and Hydrological Effects in the Upstream Region of the Shule River Catchment, Northwestern China</title><author>Jiang, Youyan ; Du, Wentao ; Chen, Jizu ; Sun, Wenxuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Altitude</topic><topic>Annual variations</topic><topic>Arid regions</topic><topic>climate and topographic causes</topic><topic>Climate change</topic><topic>Cryosphere</topic><topic>Global climate</topic><topic>High altitude</topic><topic>Hydrologic cycle</topic><topic>hydrological effect</topic><topic>Hydrology</topic><topic>Meltwater</topic><topic>Precipitation</topic><topic>Quality control</topic><topic>Rain</topic><topic>Regions</topic><topic>Remote sensing</topic><topic>River basins</topic><topic>River catchments</topic><topic>Rivers</topic><topic>Runoff</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>Snow cover</topic><topic>Software</topic><topic>Spatial distribution</topic><topic>spatiotemporal variations</topic><topic>Time series</topic><topic>Topography</topic><topic>Upstream</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Youyan</creatorcontrib><creatorcontrib>Du, Wentao</creatorcontrib><creatorcontrib>Chen, Jizu</creatorcontrib><creatorcontrib>Sun, Wenxuan</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Remote sensing (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Youyan</au><au>Du, Wentao</au><au>Chen, Jizu</au><au>Sun, Wenxuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal Variations in Snow Cover and Hydrological Effects in the Upstream Region of the Shule River Catchment, Northwestern China</atitle><jtitle>Remote sensing (Basel, Switzerland)</jtitle><date>2021-08-01</date><risdate>2021</risdate><volume>13</volume><issue>16</issue><spage>3212</spage><pages>3212-</pages><issn>2072-4292</issn><eissn>2072-4292</eissn><abstract>Precipitation and snow/ice melt water are the primary water sources in inland river basins in arid areas, and these are sensitive to global climate change. A dataset of snow cover in the upstream region of the Shule River catchment was established using MOD10A2 data from 2000 to 2019, and the spatiotemporal variations in the snow cover and its meteorological, runoff, and topographic impacts were analyzed. The results show that the spatial distribution of the snow cover is highly uneven owing to altitude differences. The snow cover in spring and autumn is mainly concentrated along the edges of the region, whereas that in winter and summer is mainly distributed in the south. Notable differences in snow accumulation and melting are observed at different altitudes, and the annual variation in the snow cover extent shows bimodal characteristics. The correlation between the snow cover extent and runoff is most significant in April. The snow cover effectively replenishes the runoff at higher altitudes (3300–4900 m), but this contribution weakens with increasing altitude (>4900 m). The regions with a high snow cover frequency are mostly concentrated at high altitudes. Regions with slopes of <30° show a strong correlation with the snow cover frequency, which decreases for slopes of >45°. The snow cover frequency and slope aspect show symmetrical changes.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/rs13163212</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2072-4292 |
ispartof | Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3212 |
issn | 2072-4292 2072-4292 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_1a4803d4aead4aebb3611116f9842e70 |
source | Publicly Available Content Database |
subjects | Accuracy Altitude Annual variations Arid regions climate and topographic causes Climate change Cryosphere Global climate High altitude Hydrologic cycle hydrological effect Hydrology Meltwater Precipitation Quality control Rain Regions Remote sensing River basins River catchments Rivers Runoff Snow Snow accumulation Snow cover Software Spatial distribution spatiotemporal variations Time series Topography Upstream Weather |
title | Spatiotemporal Variations in Snow Cover and Hydrological Effects in the Upstream Region of the Shule River Catchment, Northwestern China |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T03%3A21%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20Variations%20in%20Snow%20Cover%20and%20Hydrological%20Effects%20in%20the%20Upstream%20Region%20of%20the%20Shule%20River%20Catchment,%20Northwestern%20China&rft.jtitle=Remote%20sensing%20(Basel,%20Switzerland)&rft.au=Jiang,%20Youyan&rft.date=2021-08-01&rft.volume=13&rft.issue=16&rft.spage=3212&rft.pages=3212-&rft.issn=2072-4292&rft.eissn=2072-4292&rft_id=info:doi/10.3390/rs13163212&rft_dat=%3Cproquest_doaj_%3E2565699182%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c361t-4aa895970bdf061ff170cb4f27f5ee8753b6db421f7f39524e81e6e158ddaf313%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2565699182&rft_id=info:pmid/&rfr_iscdi=true |