Spatial analysis of meteorological and hydrological drought characteristics using Copula model
Drought as a reversible climate phenomenon is an inevitable fact, especially in arid and semiarid areas. Therefore, predicting drought is important to deal with and mitigate its effects. Hydrological drought with its direct effect on water resources is the most important type of drought. It is cause...
Gespeichert in:
| Veröffentlicht in: | Environmental earth sciences 2021-12, Vol.80 (24), Article 802 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 24 |
| container_start_page | |
| container_title | Environmental earth sciences |
| container_volume | 80 |
| creator | Dehghannik, Maryam Kavianpour, Mohammad Reza Moazami, Saber |
| description | Drought as a reversible climate phenomenon is an inevitable fact, especially in arid and semiarid areas. Therefore, predicting drought is important to deal with and mitigate its effects. Hydrological drought with its direct effect on water resources is the most important type of drought. It is caused by the lack of surface water flow and river discharge reduction. To measure its characteristics (magnitude and duration), Stream Flow Index (SDI) has been used. However, to predict hydrological drought, it is essential to understand its relationship with meteorological drought, which is described by the Standardized Precipitation Index (SPI). In this study, monthly rainfall and discharge data of Karoon and Maroon Basins in Iran from 1973 to 2014 were collected and used to calculate SDI and SPI indicators. Based on Run theory, drought characteristics, including drought duration and its magnitude, were obtained. In order to have a more reliable analysis of hydrological drought, which is a consequence of meteorological drought, the most suitable relationship between meteorological and hydrological drought characteristics was investigated. A significant relationship between meteorological and hydrological droughts was concluded by regression analysis; on average, the quadratic function showed the best performance. Based on the results, hydrological droughts occur on average at a 7-month interval from meteorological drought. Finally, spatial analysis of drought characteristics (duration and magnitude) was determined and performed by multivariate Copula functions. |
| doi_str_mv | 10.1007/s12665-021-09868-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2603343146</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2603343146</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-de027e6d5572d495a0be13101ade28c2cdc024e1caeed30c1616a397f63986093</originalsourceid><addsrcrecordid>eNp9UMtOwzAQtBBIVKU_wMkS58CunTjxEVU8KlXiAFyxjO2kqdI62Mmhf49pEL2xlx3tzow0Q8g1wi0ClHcRmRBFBgwzkJWoMjgjM6yEyAST8vwPV3BJFjFuIQ1HLkHMyMdrr4dWd1TvdXeIbaS-pjs3OB9855vWHF-Wbg72dEhwbDYDNRsdtBlcaOPQmkjH2O4buvT92Gm689Z1V-Si1l10i989J--PD2_L52z98rRa3q8zw1EOmXXASidsUZTM5rLQ8OmQI6C2jlWGGWuA5Q6Nds5yMChQaC7LWvAUGCSfk5vJtw_-a3RxUFs_hhQpKiaA85xjLhKLTSwTfIzB1aoP7U6Hg0JQP1WqqUqVqlTHKhUkEZ9EMZH3jQsn639U39nPd8k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2603343146</pqid></control><display><type>article</type><title>Spatial analysis of meteorological and hydrological drought characteristics using Copula model</title><source>SpringerLink Journals - AutoHoldings</source><creator>Dehghannik, Maryam ; Kavianpour, Mohammad Reza ; Moazami, Saber</creator><creatorcontrib>Dehghannik, Maryam ; Kavianpour, Mohammad Reza ; Moazami, Saber</creatorcontrib><description>Drought as a reversible climate phenomenon is an inevitable fact, especially in arid and semiarid areas. Therefore, predicting drought is important to deal with and mitigate its effects. Hydrological drought with its direct effect on water resources is the most important type of drought. It is caused by the lack of surface water flow and river discharge reduction. To measure its characteristics (magnitude and duration), Stream Flow Index (SDI) has been used. However, to predict hydrological drought, it is essential to understand its relationship with meteorological drought, which is described by the Standardized Precipitation Index (SPI). In this study, monthly rainfall and discharge data of Karoon and Maroon Basins in Iran from 1973 to 2014 were collected and used to calculate SDI and SPI indicators. Based on Run theory, drought characteristics, including drought duration and its magnitude, were obtained. In order to have a more reliable analysis of hydrological drought, which is a consequence of meteorological drought, the most suitable relationship between meteorological and hydrological drought characteristics was investigated. A significant relationship between meteorological and hydrological droughts was concluded by regression analysis; on average, the quadratic function showed the best performance. Based on the results, hydrological droughts occur on average at a 7-month interval from meteorological drought. Finally, spatial analysis of drought characteristics (duration and magnitude) was determined and performed by multivariate Copula functions.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-021-09868-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Arid regions ; Biogeosciences ; Climate models ; Drought ; Drought characteristics ; Duration ; Earth and Environmental Science ; Earth Sciences ; Environmental Science and Engineering ; Flow index ; Geochemistry ; Geology ; Hydrologic analysis ; Hydrologic drought ; Hydrology ; Hydrology/Water Resources ; Monthly rainfall ; Original Article ; Quadratic equations ; Rain ; Rainfall ; Regression analysis ; River discharge ; River flow ; Semi arid areas ; Spatial analysis ; Standardized precipitation index ; Stream discharge ; Stream flow ; Surface water ; Terrestrial Pollution ; Water discharge ; Water flow ; Water resources</subject><ispartof>Environmental earth sciences, 2021-12, Vol.80 (24), Article 802</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-de027e6d5572d495a0be13101ade28c2cdc024e1caeed30c1616a397f63986093</citedby><cites>FETCH-LOGICAL-c319t-de027e6d5572d495a0be13101ade28c2cdc024e1caeed30c1616a397f63986093</cites><orcidid>0000-0003-4684-181X</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/s12665-021-09868-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-021-09868-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41466,42535,51296</link.rule.ids></links><search><creatorcontrib>Dehghannik, Maryam</creatorcontrib><creatorcontrib>Kavianpour, Mohammad Reza</creatorcontrib><creatorcontrib>Moazami, Saber</creatorcontrib><title>Spatial analysis of meteorological and hydrological drought characteristics using Copula model</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>Drought as a reversible climate phenomenon is an inevitable fact, especially in arid and semiarid areas. Therefore, predicting drought is important to deal with and mitigate its effects. Hydrological drought with its direct effect on water resources is the most important type of drought. It is caused by the lack of surface water flow and river discharge reduction. To measure its characteristics (magnitude and duration), Stream Flow Index (SDI) has been used. However, to predict hydrological drought, it is essential to understand its relationship with meteorological drought, which is described by the Standardized Precipitation Index (SPI). In this study, monthly rainfall and discharge data of Karoon and Maroon Basins in Iran from 1973 to 2014 were collected and used to calculate SDI and SPI indicators. Based on Run theory, drought characteristics, including drought duration and its magnitude, were obtained. In order to have a more reliable analysis of hydrological drought, which is a consequence of meteorological drought, the most suitable relationship between meteorological and hydrological drought characteristics was investigated. A significant relationship between meteorological and hydrological droughts was concluded by regression analysis; on average, the quadratic function showed the best performance. Based on the results, hydrological droughts occur on average at a 7-month interval from meteorological drought. Finally, spatial analysis of drought characteristics (duration and magnitude) was determined and performed by multivariate Copula functions.</description><subject>Arid regions</subject><subject>Biogeosciences</subject><subject>Climate models</subject><subject>Drought</subject><subject>Drought characteristics</subject><subject>Duration</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Science and Engineering</subject><subject>Flow index</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hydrologic analysis</subject><subject>Hydrologic drought</subject><subject>Hydrology</subject><subject>Hydrology/Water Resources</subject><subject>Monthly rainfall</subject><subject>Original Article</subject><subject>Quadratic equations</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Regression analysis</subject><subject>River discharge</subject><subject>River flow</subject><subject>Semi arid areas</subject><subject>Spatial analysis</subject><subject>Standardized precipitation index</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Surface water</subject><subject>Terrestrial Pollution</subject><subject>Water discharge</subject><subject>Water flow</subject><subject>Water resources</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UMtOwzAQtBBIVKU_wMkS58CunTjxEVU8KlXiAFyxjO2kqdI62Mmhf49pEL2xlx3tzow0Q8g1wi0ClHcRmRBFBgwzkJWoMjgjM6yEyAST8vwPV3BJFjFuIQ1HLkHMyMdrr4dWd1TvdXeIbaS-pjs3OB9855vWHF-Wbg72dEhwbDYDNRsdtBlcaOPQmkjH2O4buvT92Gm689Z1V-Si1l10i989J--PD2_L52z98rRa3q8zw1EOmXXASidsUZTM5rLQ8OmQI6C2jlWGGWuA5Q6Nds5yMChQaC7LWvAUGCSfk5vJtw_-a3RxUFs_hhQpKiaA85xjLhKLTSwTfIzB1aoP7U6Hg0JQP1WqqUqVqlTHKhUkEZ9EMZH3jQsn639U39nPd8k</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Dehghannik, Maryam</creator><creator>Kavianpour, Mohammad Reza</creator><creator>Moazami, Saber</creator><general>Springer Berlin Heidelberg</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>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-4684-181X</orcidid></search><sort><creationdate>20211201</creationdate><title>Spatial analysis of meteorological and hydrological drought characteristics using Copula model</title><author>Dehghannik, Maryam ; Kavianpour, Mohammad Reza ; Moazami, Saber</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-de027e6d5572d495a0be13101ade28c2cdc024e1caeed30c1616a397f63986093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Arid regions</topic><topic>Biogeosciences</topic><topic>Climate models</topic><topic>Drought</topic><topic>Drought characteristics</topic><topic>Duration</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Science and Engineering</topic><topic>Flow index</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Hydrologic analysis</topic><topic>Hydrologic drought</topic><topic>Hydrology</topic><topic>Hydrology/Water Resources</topic><topic>Monthly rainfall</topic><topic>Original Article</topic><topic>Quadratic equations</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Regression analysis</topic><topic>River discharge</topic><topic>River flow</topic><topic>Semi arid areas</topic><topic>Spatial analysis</topic><topic>Standardized precipitation index</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Surface water</topic><topic>Terrestrial Pollution</topic><topic>Water discharge</topic><topic>Water flow</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dehghannik, Maryam</creatorcontrib><creatorcontrib>Kavianpour, Mohammad Reza</creatorcontrib><creatorcontrib>Moazami, Saber</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>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>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>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dehghannik, Maryam</au><au>Kavianpour, Mohammad Reza</au><au>Moazami, Saber</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial analysis of meteorological and hydrological drought characteristics using Copula model</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>80</volume><issue>24</issue><artnum>802</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>Drought as a reversible climate phenomenon is an inevitable fact, especially in arid and semiarid areas. Therefore, predicting drought is important to deal with and mitigate its effects. Hydrological drought with its direct effect on water resources is the most important type of drought. It is caused by the lack of surface water flow and river discharge reduction. To measure its characteristics (magnitude and duration), Stream Flow Index (SDI) has been used. However, to predict hydrological drought, it is essential to understand its relationship with meteorological drought, which is described by the Standardized Precipitation Index (SPI). In this study, monthly rainfall and discharge data of Karoon and Maroon Basins in Iran from 1973 to 2014 were collected and used to calculate SDI and SPI indicators. Based on Run theory, drought characteristics, including drought duration and its magnitude, were obtained. In order to have a more reliable analysis of hydrological drought, which is a consequence of meteorological drought, the most suitable relationship between meteorological and hydrological drought characteristics was investigated. A significant relationship between meteorological and hydrological droughts was concluded by regression analysis; on average, the quadratic function showed the best performance. Based on the results, hydrological droughts occur on average at a 7-month interval from meteorological drought. Finally, spatial analysis of drought characteristics (duration and magnitude) was determined and performed by multivariate Copula functions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-021-09868-0</doi><orcidid>https://orcid.org/0000-0003-4684-181X</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1866-6280 |
| ispartof | Environmental earth sciences, 2021-12, Vol.80 (24), Article 802 |
| issn | 1866-6280 1866-6299 |
| language | eng |
| recordid | cdi_proquest_journals_2603343146 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Arid regions Biogeosciences Climate models Drought Drought characteristics Duration Earth and Environmental Science Earth Sciences Environmental Science and Engineering Flow index Geochemistry Geology Hydrologic analysis Hydrologic drought Hydrology Hydrology/Water Resources Monthly rainfall Original Article Quadratic equations Rain Rainfall Regression analysis River discharge River flow Semi arid areas Spatial analysis Standardized precipitation index Stream discharge Stream flow Surface water Terrestrial Pollution Water discharge Water flow Water resources |
| title | Spatial analysis of meteorological and hydrological drought characteristics using Copula model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T09%3A16%3A36IST&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=Spatial%20analysis%20of%20meteorological%20and%20hydrological%20drought%20characteristics%20using%20Copula%20model&rft.jtitle=Environmental%20earth%20sciences&rft.au=Dehghannik,%20Maryam&rft.date=2021-12-01&rft.volume=80&rft.issue=24&rft.artnum=802&rft.issn=1866-6280&rft.eissn=1866-6299&rft_id=info:doi/10.1007/s12665-021-09868-0&rft_dat=%3Cproquest_cross%3E2603343146%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=2603343146&rft_id=info:pmid/&rfr_iscdi=true |