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Spatio-temporal analysis of meteorological and hydrological droughts in the Euphrates Basin, Turkey
In this study, the aim was to measure changes in the spatio-temporal distribution of a potential drought hazard area and determine the risk status of various meteorological and hydrological droughts by using the kriging, radial basis function (RBF), and inverse distance weighting (IDW) interpolation...
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Published in: | Water science & technology. Water supply 2021-06, Vol.21 (4), p.1657-1673 |
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description | In this study, the aim was to measure changes in the spatio-temporal distribution of a potential drought hazard area and determine the risk status of various meteorological and hydrological droughts by using the kriging, radial basis function (RBF), and inverse distance weighting (IDW) interpolation methods. With that goal, in monthly, three-month, and 12-month time periods drought indices were calculated. Spatio-temporal distributions of the droughts were determined with each drought index for the years in which the most severe droughts were experienced. According to the results, the basin is under risk of meteorological drought due to the occurrence of severe and extreme droughts in most of the area, and especially in the north, during the monthly and three-month time periods. During the 12-month period, it was found that most of the basin is under risk of hydrological drought due to the occurrence of severe and extreme droughts, especially in the southern parts. The most effective interpolation method for the prediction of meteorological and hydrological droughts was determined as kriging according to the results of the cross-validation test. It was concluded that a drought management plan should be made, and early warnings and precautions should be applied in the study area. |
doi_str_mv | 10.2166/ws.2021.019 |
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With that goal, in monthly, three-month, and 12-month time periods drought indices were calculated. Spatio-temporal distributions of the droughts were determined with each drought index for the years in which the most severe droughts were experienced. According to the results, the basin is under risk of meteorological drought due to the occurrence of severe and extreme droughts in most of the area, and especially in the north, during the monthly and three-month time periods. During the 12-month period, it was found that most of the basin is under risk of hydrological drought due to the occurrence of severe and extreme droughts, especially in the southern parts. The most effective interpolation method for the prediction of meteorological and hydrological droughts was determined as kriging according to the results of the cross-validation test. It was concluded that a drought management plan should be made, and early warnings and precautions should be applied in the study area.</description><identifier>ISSN: 1606-9749</identifier><identifier>EISSN: 1607-0798</identifier><identifier>DOI: 10.2166/ws.2021.019</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Agricultural production ; Agriculture ; Climate change ; Drought ; Drought index ; drought map ; Environmental management ; Extreme drought ; Geographic information systems ; Hydrology ; International relations ; interpolation ; Precipitation ; Radial basis function ; Rain ; Risk ; Spatial distribution ; spatio-temporal analysis ; Statistical methods ; Surface water ; Temporal distribution ; Time series ; Weather hazards</subject><ispartof>Water science & technology. 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Water supply</title><description>In this study, the aim was to measure changes in the spatio-temporal distribution of a potential drought hazard area and determine the risk status of various meteorological and hydrological droughts by using the kriging, radial basis function (RBF), and inverse distance weighting (IDW) interpolation methods. With that goal, in monthly, three-month, and 12-month time periods drought indices were calculated. Spatio-temporal distributions of the droughts were determined with each drought index for the years in which the most severe droughts were experienced. According to the results, the basin is under risk of meteorological drought due to the occurrence of severe and extreme droughts in most of the area, and especially in the north, during the monthly and three-month time periods. During the 12-month period, it was found that most of the basin is under risk of hydrological drought due to the occurrence of severe and extreme droughts, especially in the southern parts. The most effective interpolation method for the prediction of meteorological and hydrological droughts was determined as kriging according to the results of the cross-validation test. It was concluded that a drought management plan should be made, and early warnings and precautions should be applied in the study area.</description><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Climate change</subject><subject>Drought</subject><subject>Drought index</subject><subject>drought map</subject><subject>Environmental management</subject><subject>Extreme drought</subject><subject>Geographic information systems</subject><subject>Hydrology</subject><subject>International relations</subject><subject>interpolation</subject><subject>Precipitation</subject><subject>Radial basis function</subject><subject>Rain</subject><subject>Risk</subject><subject>Spatial distribution</subject><subject>spatio-temporal analysis</subject><subject>Statistical methods</subject><subject>Surface water</subject><subject>Temporal distribution</subject><subject>Time series</subject><subject>Weather hazards</subject><issn>1606-9749</issn><issn>1607-0798</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpFkUtv2zAQhIWgBZq6OfUPEOgxlbN8mI9jE7htAAM5JDkTFLW05cqmSlII9O-j2EVz2sHsYBbYr6q-UlgyKuXNS14yYHQJ1FxUl1SCqkEZ_eGkZW2UMJ-qzznvAZhSlF1W_nFwpYt1wcMQk-uJO7p-yl0mMZADFowp9nHb-dOqJbupfTdmOW53JZPuSMoOyXocdskVzOTW5e74nTyN6Q9OX6qPwfUZr_7NRfX8c_1097vePPy6v_uxqT2XotSOawqtYXrVUsWRC-E1QgMQhBGK-5V0bWMQtJYSdfCGNgqd0qpx1DRa80V1f-5to9vbIXUHlyYbXWdPRkxb61LpfI9W6AaC44Kp0AppVEMDcq8ZCgCBEOaub-euIcW_I-Zi93FM82-yZSuhgXPB5Zy6Pqd8ijknDP-vUrBvROzLnJ-J2JkIfwVCEX6k</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Katipoğlu, Okan Mert</creator><creator>Acar, Reşat</creator><creator>Şenocak, Serkan</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</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>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope></search><sort><creationdate>20210601</creationdate><title>Spatio-temporal analysis of meteorological and hydrological droughts in the Euphrates Basin, Turkey</title><author>Katipoğlu, Okan Mert ; Acar, Reşat ; Şenocak, Serkan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-a3810d9285d173e344c8e0b00f49473c56adb9e08866e8fc91b7ea787ba19b883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>Climate change</topic><topic>Drought</topic><topic>Drought index</topic><topic>drought map</topic><topic>Environmental management</topic><topic>Extreme drought</topic><topic>Geographic information systems</topic><topic>Hydrology</topic><topic>International relations</topic><topic>interpolation</topic><topic>Precipitation</topic><topic>Radial basis function</topic><topic>Rain</topic><topic>Risk</topic><topic>Spatial distribution</topic><topic>spatio-temporal analysis</topic><topic>Statistical methods</topic><topic>Surface water</topic><topic>Temporal distribution</topic><topic>Time series</topic><topic>Weather hazards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Katipoğlu, Okan Mert</creatorcontrib><creatorcontrib>Acar, Reşat</creatorcontrib><creatorcontrib>Şenocak, Serkan</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: 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</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering 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>DOAJ Directory of Open Access Journals</collection><jtitle>Water science & technology. Water supply</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Katipoğlu, Okan Mert</au><au>Acar, Reşat</au><au>Şenocak, Serkan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio-temporal analysis of meteorological and hydrological droughts in the Euphrates Basin, Turkey</atitle><jtitle>Water science & technology. Water supply</jtitle><date>2021-06-01</date><risdate>2021</risdate><volume>21</volume><issue>4</issue><spage>1657</spage><epage>1673</epage><pages>1657-1673</pages><issn>1606-9749</issn><eissn>1607-0798</eissn><abstract>In this study, the aim was to measure changes in the spatio-temporal distribution of a potential drought hazard area and determine the risk status of various meteorological and hydrological droughts by using the kriging, radial basis function (RBF), and inverse distance weighting (IDW) interpolation methods. With that goal, in monthly, three-month, and 12-month time periods drought indices were calculated. Spatio-temporal distributions of the droughts were determined with each drought index for the years in which the most severe droughts were experienced. According to the results, the basin is under risk of meteorological drought due to the occurrence of severe and extreme droughts in most of the area, and especially in the north, during the monthly and three-month time periods. During the 12-month period, it was found that most of the basin is under risk of hydrological drought due to the occurrence of severe and extreme droughts, especially in the southern parts. The most effective interpolation method for the prediction of meteorological and hydrological droughts was determined as kriging according to the results of the cross-validation test. It was concluded that a drought management plan should be made, and early warnings and precautions should be applied in the study area.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/ws.2021.019</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural production Agriculture Climate change Drought Drought index drought map Environmental management Extreme drought Geographic information systems Hydrology International relations interpolation Precipitation Radial basis function Rain Risk Spatial distribution spatio-temporal analysis Statistical methods Surface water Temporal distribution Time series Weather hazards |
title | Spatio-temporal analysis of meteorological and hydrological droughts in the Euphrates Basin, Turkey |
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