Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence
Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based on precipitation data from 151 meteorological stations in the Yangtze River Basin (YRB) for 1979 to 2019 and the meteorol...
Gespeichert in:
| Veröffentlicht in: | Natural hazards (Dordrecht) 2022-10, Vol.114 (1), p.971-987 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 987 |
|---|---|
| container_issue | 1 |
| container_start_page | 971 |
| container_title | Natural hazards (Dordrecht) |
| container_volume | 114 |
| creator | Ma, Jing Ju, Qin Du, Yiheng Liu, Yanli Wang, Guoqing Zeng, Huanan Hao, Zhenchun |
| description | Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based on precipitation data from 151 meteorological stations in the Yangtze River Basin (YRB) for 1979 to 2019 and the meteorological reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), this paper studied the spatial and temporal characteristics of precipitation and VIMD and investigated their responsive relationship. The variations in precipitation and VIMD were examined using statistical methods, along with three step ‘staircases’ of terrain clusters dividing the whole basin based on descending altitude from west to the east. The results indicated that (1) the annual precipitation increased at a speed of 6.7 mm/10a during the study period: precipitation in spring, autumn and winter showed increasing trends, especially at the high elevation region (e.g., first step terrain), while a decreasing trend appeared in summer. (2) The VIMD trends in the YRB also varied in space and time, but overall, the summer trend pattern dominated the annual pattern. (3) The spatial distribution of VIMD agreed well with the topography clusters, where the first step terrain was dominated by convergence, and the second and third step terrains were dominated by divergence. (4) The average annual precipitation and seasonal precipitation showed responsive relationship with VIMD in terms of cumulative anomalies. Our results provided information on precipitation variability and revealed the characteristics of water vapor flux distribution as well as improved the understanding of the water transport mechanism in the YRB. |
| doi_str_mv | 10.1007/s11069-022-05419-3 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2718471724</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2718471724</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-3eab1c25d9d384c1f95444876c032edeccd5dc7a802967eca2906e11d4c5850e3</originalsourceid><addsrcrecordid>eNp9kNFKHDEUhoNYcNW-gFcBr6c9J8lMJpcqrRUWCqVCexWyydk1ss5Mk4y4vRJfwTf0SZx1C73z6hw4__cf-Bg7QfiEAPpzRoTGVCBEBbVCU8k9NsNaywpaBftsBkZgBRJ-HbDDnG8BEBthZuzpLGfKOXYrPiTycYjFldh3_N6l-LZlHjteboj_dt2q_CX-I95T4udugngY0xZFo83L47MANHyx4dO9RO_W683EFlolVyjwuz7mMibiy_X4wMO2ZUWdp2P2YenWmT7-m0fs-uuXnxffqvn3y6uLs3nlJZpSSXIL9KIOJshWeVyaWinV6saDFBTI-1AHr10LwjSavBMGGkIMytdtDSSP2Omud0j9n5Fysbf9mLrppRUaW6VRCzWlxC7lU59zoqUdUrxzaWMR7Na13bm2k2v75trKCZI7KA9bH5T-V79DvQI8roRT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2718471724</pqid></control><display><type>article</type><title>Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence</title><source>SpringerNature Journals</source><creator>Ma, Jing ; Ju, Qin ; Du, Yiheng ; Liu, Yanli ; Wang, Guoqing ; Zeng, Huanan ; Hao, Zhenchun</creator><creatorcontrib>Ma, Jing ; Ju, Qin ; Du, Yiheng ; Liu, Yanli ; Wang, Guoqing ; Zeng, Huanan ; Hao, Zhenchun</creatorcontrib><description>Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based on precipitation data from 151 meteorological stations in the Yangtze River Basin (YRB) for 1979 to 2019 and the meteorological reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), this paper studied the spatial and temporal characteristics of precipitation and VIMD and investigated their responsive relationship. The variations in precipitation and VIMD were examined using statistical methods, along with three step ‘staircases’ of terrain clusters dividing the whole basin based on descending altitude from west to the east. The results indicated that (1) the annual precipitation increased at a speed of 6.7 mm/10a during the study period: precipitation in spring, autumn and winter showed increasing trends, especially at the high elevation region (e.g., first step terrain), while a decreasing trend appeared in summer. (2) The VIMD trends in the YRB also varied in space and time, but overall, the summer trend pattern dominated the annual pattern. (3) The spatial distribution of VIMD agreed well with the topography clusters, where the first step terrain was dominated by convergence, and the second and third step terrains were dominated by divergence. (4) The average annual precipitation and seasonal precipitation showed responsive relationship with VIMD in terms of cumulative anomalies. Our results provided information on precipitation variability and revealed the characteristics of water vapor flux distribution as well as improved the understanding of the water transport mechanism in the YRB.</description><identifier>ISSN: 0921-030X</identifier><identifier>EISSN: 1573-0840</identifier><identifier>DOI: 10.1007/s11069-022-05419-3</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Annual precipitation ; Anomalies ; Civil Engineering ; Clusters ; Disasters ; Distribution ; Divergence ; Earth and Environmental Science ; Earth Sciences ; Elevation ; Environmental Management ; Fluctuations ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Hydrologic data ; Moisture ; Moisture effects ; Moisture flux ; Natural disasters ; Natural Hazards ; Original Paper ; Precipitation ; Precipitation data ; Precipitation variability ; Precipitation variations ; River basins ; Rivers ; Seasonal precipitation ; Spatial distribution ; Spring precipitation ; Staircases ; Statistical methods ; Summer ; Terrain ; Trends ; Variation ; Water transport ; Water vapor ; Water vapor flux ; Water vapour ; Weather forecasting ; Weather stations</subject><ispartof>Natural hazards (Dordrecht), 2022-10, Vol.114 (1), p.971-987</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-3eab1c25d9d384c1f95444876c032edeccd5dc7a802967eca2906e11d4c5850e3</citedby><cites>FETCH-LOGICAL-c319t-3eab1c25d9d384c1f95444876c032edeccd5dc7a802967eca2906e11d4c5850e3</cites><orcidid>0000-0002-1346-0941</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11069-022-05419-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11069-022-05419-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Ma, Jing</creatorcontrib><creatorcontrib>Ju, Qin</creatorcontrib><creatorcontrib>Du, Yiheng</creatorcontrib><creatorcontrib>Liu, Yanli</creatorcontrib><creatorcontrib>Wang, Guoqing</creatorcontrib><creatorcontrib>Zeng, Huanan</creatorcontrib><creatorcontrib>Hao, Zhenchun</creatorcontrib><title>Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence</title><title>Natural hazards (Dordrecht)</title><addtitle>Nat Hazards</addtitle><description>Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based on precipitation data from 151 meteorological stations in the Yangtze River Basin (YRB) for 1979 to 2019 and the meteorological reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), this paper studied the spatial and temporal characteristics of precipitation and VIMD and investigated their responsive relationship. The variations in precipitation and VIMD were examined using statistical methods, along with three step ‘staircases’ of terrain clusters dividing the whole basin based on descending altitude from west to the east. The results indicated that (1) the annual precipitation increased at a speed of 6.7 mm/10a during the study period: precipitation in spring, autumn and winter showed increasing trends, especially at the high elevation region (e.g., first step terrain), while a decreasing trend appeared in summer. (2) The VIMD trends in the YRB also varied in space and time, but overall, the summer trend pattern dominated the annual pattern. (3) The spatial distribution of VIMD agreed well with the topography clusters, where the first step terrain was dominated by convergence, and the second and third step terrains were dominated by divergence. (4) The average annual precipitation and seasonal precipitation showed responsive relationship with VIMD in terms of cumulative anomalies. Our results provided information on precipitation variability and revealed the characteristics of water vapor flux distribution as well as improved the understanding of the water transport mechanism in the YRB.</description><subject>Annual precipitation</subject><subject>Anomalies</subject><subject>Civil Engineering</subject><subject>Clusters</subject><subject>Disasters</subject><subject>Distribution</subject><subject>Divergence</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Elevation</subject><subject>Environmental Management</subject><subject>Fluctuations</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Hydrologic data</subject><subject>Moisture</subject><subject>Moisture effects</subject><subject>Moisture flux</subject><subject>Natural disasters</subject><subject>Natural Hazards</subject><subject>Original Paper</subject><subject>Precipitation</subject><subject>Precipitation data</subject><subject>Precipitation variability</subject><subject>Precipitation variations</subject><subject>River basins</subject><subject>Rivers</subject><subject>Seasonal precipitation</subject><subject>Spatial distribution</subject><subject>Spring precipitation</subject><subject>Staircases</subject><subject>Statistical methods</subject><subject>Summer</subject><subject>Terrain</subject><subject>Trends</subject><subject>Variation</subject><subject>Water transport</subject><subject>Water vapor</subject><subject>Water vapor flux</subject><subject>Water vapour</subject><subject>Weather forecasting</subject><subject>Weather stations</subject><issn>0921-030X</issn><issn>1573-0840</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kNFKHDEUhoNYcNW-gFcBr6c9J8lMJpcqrRUWCqVCexWyydk1ss5Mk4y4vRJfwTf0SZx1C73z6hw4__cf-Bg7QfiEAPpzRoTGVCBEBbVCU8k9NsNaywpaBftsBkZgBRJ-HbDDnG8BEBthZuzpLGfKOXYrPiTycYjFldh3_N6l-LZlHjteboj_dt2q_CX-I95T4udugngY0xZFo83L47MANHyx4dO9RO_W683EFlolVyjwuz7mMibiy_X4wMO2ZUWdp2P2YenWmT7-m0fs-uuXnxffqvn3y6uLs3nlJZpSSXIL9KIOJshWeVyaWinV6saDFBTI-1AHr10LwjSavBMGGkIMytdtDSSP2Omud0j9n5Fysbf9mLrppRUaW6VRCzWlxC7lU59zoqUdUrxzaWMR7Na13bm2k2v75trKCZI7KA9bH5T-V79DvQI8roRT</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Ma, Jing</creator><creator>Ju, Qin</creator><creator>Du, Yiheng</creator><creator>Liu, Yanli</creator><creator>Wang, Guoqing</creator><creator>Zeng, Huanan</creator><creator>Hao, Zhenchun</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</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>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-1346-0941</orcidid></search><sort><creationdate>20221001</creationdate><title>Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence</title><author>Ma, Jing ; Ju, Qin ; Du, Yiheng ; Liu, Yanli ; Wang, Guoqing ; Zeng, Huanan ; Hao, Zhenchun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-3eab1c25d9d384c1f95444876c032edeccd5dc7a802967eca2906e11d4c5850e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Annual precipitation</topic><topic>Anomalies</topic><topic>Civil Engineering</topic><topic>Clusters</topic><topic>Disasters</topic><topic>Distribution</topic><topic>Divergence</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Elevation</topic><topic>Environmental Management</topic><topic>Fluctuations</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Hydrologic data</topic><topic>Moisture</topic><topic>Moisture effects</topic><topic>Moisture flux</topic><topic>Natural disasters</topic><topic>Natural Hazards</topic><topic>Original Paper</topic><topic>Precipitation</topic><topic>Precipitation data</topic><topic>Precipitation variability</topic><topic>Precipitation variations</topic><topic>River basins</topic><topic>Rivers</topic><topic>Seasonal precipitation</topic><topic>Spatial distribution</topic><topic>Spring precipitation</topic><topic>Staircases</topic><topic>Statistical methods</topic><topic>Summer</topic><topic>Terrain</topic><topic>Trends</topic><topic>Variation</topic><topic>Water transport</topic><topic>Water vapor</topic><topic>Water vapor flux</topic><topic>Water vapour</topic><topic>Weather forecasting</topic><topic>Weather stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Jing</creatorcontrib><creatorcontrib>Ju, Qin</creatorcontrib><creatorcontrib>Du, Yiheng</creatorcontrib><creatorcontrib>Liu, Yanli</creatorcontrib><creatorcontrib>Wang, Guoqing</creatorcontrib><creatorcontrib>Zeng, Huanan</creatorcontrib><creatorcontrib>Hao, Zhenchun</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>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>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Natural hazards (Dordrecht)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Jing</au><au>Ju, Qin</au><au>Du, Yiheng</au><au>Liu, Yanli</au><au>Wang, Guoqing</au><au>Zeng, Huanan</au><au>Hao, Zhenchun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence</atitle><jtitle>Natural hazards (Dordrecht)</jtitle><stitle>Nat Hazards</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>114</volume><issue>1</issue><spage>971</spage><epage>987</epage><pages>971-987</pages><issn>0921-030X</issn><eissn>1573-0840</eissn><abstract>Spatiotemporal variations in precipitation are closely related to vertically integrated moisture flux divergence (VIMD), where the extremes further cause natural disasters. Based on precipitation data from 151 meteorological stations in the Yangtze River Basin (YRB) for 1979 to 2019 and the meteorological reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), this paper studied the spatial and temporal characteristics of precipitation and VIMD and investigated their responsive relationship. The variations in precipitation and VIMD were examined using statistical methods, along with three step ‘staircases’ of terrain clusters dividing the whole basin based on descending altitude from west to the east. The results indicated that (1) the annual precipitation increased at a speed of 6.7 mm/10a during the study period: precipitation in spring, autumn and winter showed increasing trends, especially at the high elevation region (e.g., first step terrain), while a decreasing trend appeared in summer. (2) The VIMD trends in the YRB also varied in space and time, but overall, the summer trend pattern dominated the annual pattern. (3) The spatial distribution of VIMD agreed well with the topography clusters, where the first step terrain was dominated by convergence, and the second and third step terrains were dominated by divergence. (4) The average annual precipitation and seasonal precipitation showed responsive relationship with VIMD in terms of cumulative anomalies. Our results provided information on precipitation variability and revealed the characteristics of water vapor flux distribution as well as improved the understanding of the water transport mechanism in the YRB.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11069-022-05419-3</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-1346-0941</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0921-030X |
| ispartof | Natural hazards (Dordrecht), 2022-10, Vol.114 (1), p.971-987 |
| issn | 0921-030X 1573-0840 |
| language | eng |
| recordid | cdi_proquest_journals_2718471724 |
| source | SpringerNature Journals |
| subjects | Annual precipitation Anomalies Civil Engineering Clusters Disasters Distribution Divergence Earth and Environmental Science Earth Sciences Elevation Environmental Management Fluctuations Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrologic data Moisture Moisture effects Moisture flux Natural disasters Natural Hazards Original Paper Precipitation Precipitation data Precipitation variability Precipitation variations River basins Rivers Seasonal precipitation Spatial distribution Spring precipitation Staircases Statistical methods Summer Terrain Trends Variation Water transport Water vapor Water vapor flux Water vapour Weather forecasting Weather stations |
| title | Assessing precipitation variations in the Yangtze River Basin during 1979–2019 by vertically integrated moisture flux divergence |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-14T21%3A20%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20precipitation%20variations%20in%20the%20Yangtze%20River%20Basin%20during%201979%E2%80%932019%20by%20vertically%20integrated%20moisture%20flux%20divergence&rft.jtitle=Natural%20hazards%20(Dordrecht)&rft.au=Ma,%20Jing&rft.date=2022-10-01&rft.volume=114&rft.issue=1&rft.spage=971&rft.epage=987&rft.pages=971-987&rft.issn=0921-030X&rft.eissn=1573-0840&rft_id=info:doi/10.1007/s11069-022-05419-3&rft_dat=%3Cproquest_cross%3E2718471724%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2718471724&rft_id=info:pmid/&rfr_iscdi=true |