Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran
Multi-index drought indices are based on a combination of single drought indices and able to monitor the overall status of drought in a certain location. The aim of the present paper is to compare two recently developed multi-index drought indices, i.e., Joint Deficit Index (JDI) and Multivariate St...
Gespeichert in:
| Veröffentlicht in: | Water resources management 2015-04, Vol.29 (6), p.2027-2044 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2044 |
|---|---|
| container_issue | 6 |
| container_start_page | 2027 |
| container_title | Water resources management |
| container_volume | 29 |
| creator | Bazrafshan, Javad Nadi, Mehdi Ghorbani, Khalil |
| description | Multi-index drought indices are based on a combination of single drought indices and able to monitor the overall status of drought in a certain location. The aim of the present paper is to compare two recently developed multi-index drought indices, i.e., Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) under different climatic conditions of Iran. Although these drought indices are calculated using different statistical methods, they need twelve modified Standardized Precipitation Index (SPImod) corresponding to 12 time windows from 1 to 12 months as the input variables. In this study, these indices were calculated using the monthly precipitation data of 42 weather stations representing diverse climates of Iran during the period of 1966–2010. JDI and MSPI were compared from different viewpoints including temporal behavior, the relationship between drought severity and duration and frequencies of drought classes. The results showed that both indices have a similar trend of drought severity at all stations. Unlike the MSPI, the JDI faced two substantial problems in all stations of interest: 1) The lowest value of the JDI time series was frequently repeated in different parts of its time series, 2) The JDI was not able to identify the peak of drought severity during the critical drought periods. While the JDI could not identify the extreme (at about all stations) and very severe (at one third of stations) drought classes, the observed frequencies of the MSPI’s drought classes successfully matched the corresponding expected frequencies. The obtained results clearly indicate the superiority of the MSPI for monitoring overall status of droughts in different climatic conditions of Iran in comparison to the JDI. |
| doi_str_mv | 10.1007/s11269-015-0926-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1685813359</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3612869491</sourcerecordid><originalsourceid>FETCH-LOGICAL-c452t-8795bdebef0b0f0572e002f4da771324698744b07f47246de76f76e6155867e23</originalsourceid><addsrcrecordid>eNqNkV1rFDEUhoMouFZ_gHcBb-pF9CSTr7nU3apburRQvQ7ZmaSmzE7GJFPW_hB_r1m2F1IQenXI4XleOHkRekvhAwVQHzOlTLYEqCDQMkn2z9CCCtUQKgU8R4u6BMIVpy_Rq5xvAarVwgL9WcbdZFPIccTR47PdFFLo7ICXcZoHSz7b7Hp8HsNY8Mr50IWC12Pv9vj0fLV-j-3Y4808lHBXQ2xx-LrUlU19uK_eVXJdmEKxJdT8B29zfVVFHxNepTjf_Cx4E8dQYgrjDQ4VS3Z8jV54O2T35mGeoB9fzr4vv5GLy6_r5acL0nHBCtGqFdvebZ2HLXgQijkA5nlvlaIN47LVivMtKM9VffVOSa-kk1QILZVjzQk6PeZOKf6aXS5mF3LnhsGOLs7ZUKmFpk0j2iegUjOuFdUVffcIvY1zGushBwoa1mjeVIoeqS7FnJPzZkphZ9NvQ8EcSjXHUk0t1RxKNfvqsKOTp8N3ufRP8n-lv8Upo6w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1660323843</pqid></control><display><type>article</type><title>Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran</title><source>SpringerNature Journals</source><creator>Bazrafshan, Javad ; Nadi, Mehdi ; Ghorbani, Khalil</creator><creatorcontrib>Bazrafshan, Javad ; Nadi, Mehdi ; Ghorbani, Khalil</creatorcontrib><description>Multi-index drought indices are based on a combination of single drought indices and able to monitor the overall status of drought in a certain location. The aim of the present paper is to compare two recently developed multi-index drought indices, i.e., Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) under different climatic conditions of Iran. Although these drought indices are calculated using different statistical methods, they need twelve modified Standardized Precipitation Index (SPImod) corresponding to 12 time windows from 1 to 12 months as the input variables. In this study, these indices were calculated using the monthly precipitation data of 42 weather stations representing diverse climates of Iran during the period of 1966–2010. JDI and MSPI were compared from different viewpoints including temporal behavior, the relationship between drought severity and duration and frequencies of drought classes. The results showed that both indices have a similar trend of drought severity at all stations. Unlike the MSPI, the JDI faced two substantial problems in all stations of interest: 1) The lowest value of the JDI time series was frequently repeated in different parts of its time series, 2) The JDI was not able to identify the peak of drought severity during the critical drought periods. While the JDI could not identify the extreme (at about all stations) and very severe (at one third of stations) drought classes, the observed frequencies of the MSPI’s drought classes successfully matched the corresponding expected frequencies. The obtained results clearly indicate the superiority of the MSPI for monitoring overall status of droughts in different climatic conditions of Iran in comparison to the JDI.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1007/s11269-015-0926-x</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Atmospheric Sciences ; Civil Engineering ; Climate ; Climatic conditions ; Drought ; Drought index ; Droughts ; Earth and Environmental Science ; Earth Sciences ; Environment ; Environmental monitoring ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Hydrologic cycle ; Hydrologic data ; Hydrology ; Hydrology/Water Resources ; Mathematical analysis ; Monitoring ; Monitors ; Multivariate analysis ; Natural resources ; Precipitation ; Principal components analysis ; Standardized precipitation index ; Stations ; Statistical methods ; Stream flow ; Studies ; Time series ; Variables ; Water resources ; Weather stations ; Windows (intervals)</subject><ispartof>Water resources management, 2015-04, Vol.29 (6), p.2027-2044</ispartof><rights>Springer Science+Business Media Dordrecht 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-8795bdebef0b0f0572e002f4da771324698744b07f47246de76f76e6155867e23</citedby><cites>FETCH-LOGICAL-c452t-8795bdebef0b0f0572e002f4da771324698744b07f47246de76f76e6155867e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11269-015-0926-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11269-015-0926-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Bazrafshan, Javad</creatorcontrib><creatorcontrib>Nadi, Mehdi</creatorcontrib><creatorcontrib>Ghorbani, Khalil</creatorcontrib><title>Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran</title><title>Water resources management</title><addtitle>Water Resour Manage</addtitle><description>Multi-index drought indices are based on a combination of single drought indices and able to monitor the overall status of drought in a certain location. The aim of the present paper is to compare two recently developed multi-index drought indices, i.e., Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) under different climatic conditions of Iran. Although these drought indices are calculated using different statistical methods, they need twelve modified Standardized Precipitation Index (SPImod) corresponding to 12 time windows from 1 to 12 months as the input variables. In this study, these indices were calculated using the monthly precipitation data of 42 weather stations representing diverse climates of Iran during the period of 1966–2010. JDI and MSPI were compared from different viewpoints including temporal behavior, the relationship between drought severity and duration and frequencies of drought classes. The results showed that both indices have a similar trend of drought severity at all stations. Unlike the MSPI, the JDI faced two substantial problems in all stations of interest: 1) The lowest value of the JDI time series was frequently repeated in different parts of its time series, 2) The JDI was not able to identify the peak of drought severity during the critical drought periods. While the JDI could not identify the extreme (at about all stations) and very severe (at one third of stations) drought classes, the observed frequencies of the MSPI’s drought classes successfully matched the corresponding expected frequencies. The obtained results clearly indicate the superiority of the MSPI for monitoring overall status of droughts in different climatic conditions of Iran in comparison to the JDI.</description><subject>Atmospheric Sciences</subject><subject>Civil Engineering</subject><subject>Climate</subject><subject>Climatic conditions</subject><subject>Drought</subject><subject>Drought index</subject><subject>Droughts</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environment</subject><subject>Environmental monitoring</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Hydrologic cycle</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Hydrology/Water Resources</subject><subject>Mathematical analysis</subject><subject>Monitoring</subject><subject>Monitors</subject><subject>Multivariate analysis</subject><subject>Natural resources</subject><subject>Precipitation</subject><subject>Principal components analysis</subject><subject>Standardized precipitation index</subject><subject>Stations</subject><subject>Statistical methods</subject><subject>Stream flow</subject><subject>Studies</subject><subject>Time series</subject><subject>Variables</subject><subject>Water resources</subject><subject>Weather stations</subject><subject>Windows (intervals)</subject><issn>0920-4741</issn><issn>1573-1650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</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>eNqNkV1rFDEUhoMouFZ_gHcBb-pF9CSTr7nU3apburRQvQ7ZmaSmzE7GJFPW_hB_r1m2F1IQenXI4XleOHkRekvhAwVQHzOlTLYEqCDQMkn2z9CCCtUQKgU8R4u6BMIVpy_Rq5xvAarVwgL9WcbdZFPIccTR47PdFFLo7ICXcZoHSz7b7Hp8HsNY8Mr50IWC12Pv9vj0fLV-j-3Y4808lHBXQ2xx-LrUlU19uK_eVXJdmEKxJdT8B29zfVVFHxNepTjf_Cx4E8dQYgrjDQ4VS3Z8jV54O2T35mGeoB9fzr4vv5GLy6_r5acL0nHBCtGqFdvebZ2HLXgQijkA5nlvlaIN47LVivMtKM9VffVOSa-kk1QILZVjzQk6PeZOKf6aXS5mF3LnhsGOLs7ZUKmFpk0j2iegUjOuFdUVffcIvY1zGushBwoa1mjeVIoeqS7FnJPzZkphZ9NvQ8EcSjXHUk0t1RxKNfvqsKOTp8N3ufRP8n-lv8Upo6w</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Bazrafshan, Javad</creator><creator>Nadi, Mehdi</creator><creator>Ghorbani, Khalil</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</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>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L.G</scope><scope>L6V</scope><scope>LK8</scope><scope>M0C</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>H96</scope></search><sort><creationdate>20150401</creationdate><title>Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran</title><author>Bazrafshan, Javad ; Nadi, Mehdi ; Ghorbani, Khalil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-8795bdebef0b0f0572e002f4da771324698744b07f47246de76f76e6155867e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Atmospheric Sciences</topic><topic>Civil Engineering</topic><topic>Climate</topic><topic>Climatic conditions</topic><topic>Drought</topic><topic>Drought index</topic><topic>Droughts</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environment</topic><topic>Environmental monitoring</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Hydrologic cycle</topic><topic>Hydrologic data</topic><topic>Hydrology</topic><topic>Hydrology/Water Resources</topic><topic>Mathematical analysis</topic><topic>Monitoring</topic><topic>Monitors</topic><topic>Multivariate analysis</topic><topic>Natural resources</topic><topic>Precipitation</topic><topic>Principal components analysis</topic><topic>Standardized precipitation index</topic><topic>Stations</topic><topic>Statistical methods</topic><topic>Stream flow</topic><topic>Studies</topic><topic>Time series</topic><topic>Variables</topic><topic>Water resources</topic><topic>Weather stations</topic><topic>Windows (intervals)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bazrafshan, Javad</creatorcontrib><creatorcontrib>Nadi, Mehdi</creatorcontrib><creatorcontrib>Ghorbani, Khalil</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</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>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</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>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><jtitle>Water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bazrafshan, Javad</au><au>Nadi, Mehdi</au><au>Ghorbani, Khalil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran</atitle><jtitle>Water resources management</jtitle><stitle>Water Resour Manage</stitle><date>2015-04-01</date><risdate>2015</risdate><volume>29</volume><issue>6</issue><spage>2027</spage><epage>2044</epage><pages>2027-2044</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><abstract>Multi-index drought indices are based on a combination of single drought indices and able to monitor the overall status of drought in a certain location. The aim of the present paper is to compare two recently developed multi-index drought indices, i.e., Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) under different climatic conditions of Iran. Although these drought indices are calculated using different statistical methods, they need twelve modified Standardized Precipitation Index (SPImod) corresponding to 12 time windows from 1 to 12 months as the input variables. In this study, these indices were calculated using the monthly precipitation data of 42 weather stations representing diverse climates of Iran during the period of 1966–2010. JDI and MSPI were compared from different viewpoints including temporal behavior, the relationship between drought severity and duration and frequencies of drought classes. The results showed that both indices have a similar trend of drought severity at all stations. Unlike the MSPI, the JDI faced two substantial problems in all stations of interest: 1) The lowest value of the JDI time series was frequently repeated in different parts of its time series, 2) The JDI was not able to identify the peak of drought severity during the critical drought periods. While the JDI could not identify the extreme (at about all stations) and very severe (at one third of stations) drought classes, the observed frequencies of the MSPI’s drought classes successfully matched the corresponding expected frequencies. The obtained results clearly indicate the superiority of the MSPI for monitoring overall status of droughts in different climatic conditions of Iran in comparison to the JDI.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11269-015-0926-x</doi><tpages>18</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0920-4741 |
| ispartof | Water resources management, 2015-04, Vol.29 (6), p.2027-2044 |
| issn | 0920-4741 1573-1650 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1685813359 |
| source | SpringerNature Journals |
| subjects | Atmospheric Sciences Civil Engineering Climate Climatic conditions Drought Drought index Droughts Earth and Environmental Science Earth Sciences Environment Environmental monitoring Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrologic cycle Hydrologic data Hydrology Hydrology/Water Resources Mathematical analysis Monitoring Monitors Multivariate analysis Natural resources Precipitation Principal components analysis Standardized precipitation index Stations Statistical methods Stream flow Studies Time series Variables Water resources Weather stations Windows (intervals) |
| title | Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T19%3A19%3A43IST&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=Comparison%20of%20Empirical%20Copula-Based%20Joint%20Deficit%20Index%20(JDI)%20and%20Multivariate%20Standardized%20Precipitation%20Index%20(MSPI)%20for%20Drought%20Monitoring%20in%20Iran&rft.jtitle=Water%20resources%20management&rft.au=Bazrafshan,%20Javad&rft.date=2015-04-01&rft.volume=29&rft.issue=6&rft.spage=2027&rft.epage=2044&rft.pages=2027-2044&rft.issn=0920-4741&rft.eissn=1573-1650&rft_id=info:doi/10.1007/s11269-015-0926-x&rft_dat=%3Cproquest_cross%3E3612869491%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=1660323843&rft_id=info:pmid/&rfr_iscdi=true |