Dust storm source detection using ANP and WRF models in southwest of Iran
In recent years, dust storms with huge adverse impacts on the environment have become more frequent and intense in the southwest of Iran. The first step to control or influence the dust storm process is source identification. The objective of this study is to detect the major sources of dust storms...
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Veröffentlicht in: | Arabian journal of geosciences 2021-08, Vol.14 (15), Article 1529 |
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description | In recent years, dust storms with huge adverse impacts on the environment have become more frequent and intense in the southwest of Iran. The first step to control or influence the dust storm process is source identification. The objective of this study is to detect the major sources of dust storms in Bushehr Province of Iran using the analytic network processes (ANP) and the weather research and forecasting (WRF) models. Five synoptic stations for this purpose were examined over 17 years from 2001 to 2017. The spatial data includes land use, NDVI, slope, aspect-slope, elevation, and soil used as the major layers. The layers were weighted by applying the paired comparison and analytic hierarchy process methods. Also, local scale pressure systems were identified using the WRF numerical model. Results revealed that pressure systems at the local scale in different seasons are located exactly over areas prone to dust storm generation within the study area. Furthermore, the WRF model correctly showed the atmospheric pressure and wind field locations at a local scale. Based on ANP output, more than 25% of Bushehr Province has been active as dust-prone regions at a local scale. The ANP model identified the zones of erosion-prone areas, and the WRF model determined the location of permanent or semi-permanent pressure systems. Results demonstrated that applying the WRF and ANP models provided a useful tool to identify and validate the local dust sources with high accuracy in the study sites. |
doi_str_mv | 10.1007/s12517-021-07608-z |
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The first step to control or influence the dust storm process is source identification. The objective of this study is to detect the major sources of dust storms in Bushehr Province of Iran using the analytic network processes (ANP) and the weather research and forecasting (WRF) models. Five synoptic stations for this purpose were examined over 17 years from 2001 to 2017. The spatial data includes land use, NDVI, slope, aspect-slope, elevation, and soil used as the major layers. The layers were weighted by applying the paired comparison and analytic hierarchy process methods. Also, local scale pressure systems were identified using the WRF numerical model. Results revealed that pressure systems at the local scale in different seasons are located exactly over areas prone to dust storm generation within the study area. Furthermore, the WRF model correctly showed the atmospheric pressure and wind field locations at a local scale. Based on ANP output, more than 25% of Bushehr Province has been active as dust-prone regions at a local scale. The ANP model identified the zones of erosion-prone areas, and the WRF model determined the location of permanent or semi-permanent pressure systems. Results demonstrated that applying the WRF and ANP models provided a useful tool to identify and validate the local dust sources with high accuracy in the study sites.</description><identifier>ISSN: 1866-7511</identifier><identifier>EISSN: 1866-7538</identifier><identifier>DOI: 10.1007/s12517-021-07608-z</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Analytic hierarchy process ; Atmospheric correction ; Atmospheric models ; Atmospheric particulates ; Dust ; Dust storms ; Earth and Environmental Science ; Earth science ; Earth Sciences ; Environmental impact ; Identification ; Land use ; Mathematical models ; Numerical models ; Original Paper ; Pressure ; Spatial data ; Storms ; Weather forecasting</subject><ispartof>Arabian journal of geosciences, 2021-08, Vol.14 (15), Article 1529</ispartof><rights>Saudi Society for Geosciences 2021</rights><rights>Saudi Society for Geosciences 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2706-c3110fe8e82621c280420f4643a7b46e5ff8abee384f9efefc93bb025ef81fd93</citedby><cites>FETCH-LOGICAL-c2706-c3110fe8e82621c280420f4643a7b46e5ff8abee384f9efefc93bb025ef81fd93</cites><orcidid>0000-0002-0325-8192</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/s12517-021-07608-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12517-021-07608-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Abbasi, Esmaeil</creatorcontrib><creatorcontrib>Etemadi, Hana</creatorcontrib><creatorcontrib>Smoak, Joseph M.</creatorcontrib><creatorcontrib>Amouniya, Hamaid</creatorcontrib><creatorcontrib>Mahoutchi, Mohammad Hassan</creatorcontrib><title>Dust storm source detection using ANP and WRF models in southwest of Iran</title><title>Arabian journal of geosciences</title><addtitle>Arab J Geosci</addtitle><description>In recent years, dust storms with huge adverse impacts on the environment have become more frequent and intense in the southwest of Iran. The first step to control or influence the dust storm process is source identification. The objective of this study is to detect the major sources of dust storms in Bushehr Province of Iran using the analytic network processes (ANP) and the weather research and forecasting (WRF) models. Five synoptic stations for this purpose were examined over 17 years from 2001 to 2017. The spatial data includes land use, NDVI, slope, aspect-slope, elevation, and soil used as the major layers. The layers were weighted by applying the paired comparison and analytic hierarchy process methods. Also, local scale pressure systems were identified using the WRF numerical model. Results revealed that pressure systems at the local scale in different seasons are located exactly over areas prone to dust storm generation within the study area. Furthermore, the WRF model correctly showed the atmospheric pressure and wind field locations at a local scale. Based on ANP output, more than 25% of Bushehr Province has been active as dust-prone regions at a local scale. The ANP model identified the zones of erosion-prone areas, and the WRF model determined the location of permanent or semi-permanent pressure systems. Results demonstrated that applying the WRF and ANP models provided a useful tool to identify and validate the local dust sources with high accuracy in the study sites.</description><subject>Analytic hierarchy process</subject><subject>Atmospheric correction</subject><subject>Atmospheric models</subject><subject>Atmospheric particulates</subject><subject>Dust</subject><subject>Dust storms</subject><subject>Earth and Environmental Science</subject><subject>Earth science</subject><subject>Earth Sciences</subject><subject>Environmental impact</subject><subject>Identification</subject><subject>Land use</subject><subject>Mathematical models</subject><subject>Numerical models</subject><subject>Original Paper</subject><subject>Pressure</subject><subject>Spatial data</subject><subject>Storms</subject><subject>Weather forecasting</subject><issn>1866-7511</issn><issn>1866-7538</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKt_wFPAc3SS3WSzx1KtFoqKKB7DfkzqljZbk13E_npTV_TmaebwPO8MLyHnHC45QHYVuJA8YyA4g0yBZrsDMuJaKZbJRB_-7pwfk5MQVgBKQ6ZHZH7dh46GrvUbGtreV0hr7LDqmtbRPjRuSSf3j7RwNX19mtFNW-M60Mbt4e7tA6PcWjr3hTslR7ZYBzz7mWPyMrt5nt6xxcPtfDpZsEpkoFiVcA4WNWqhBK-EhlSATVWaFFmZKpTW6qJETHRqc7RoqzwpSxASrea2zpMxuRhyt7597-MDZhX_dvGkEVLKXMuYGCkxUJVvQ_BozdY3m8J_Gg5mX5kZKjOxMvNdmdlFKRmkEGG3RP8X_Y_1BRzobqo</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Abbasi, Esmaeil</creator><creator>Etemadi, Hana</creator><creator>Smoak, Joseph M.</creator><creator>Amouniya, Hamaid</creator><creator>Mahoutchi, Mohammad Hassan</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-0325-8192</orcidid></search><sort><creationdate>20210801</creationdate><title>Dust storm source detection using ANP and WRF models in southwest of Iran</title><author>Abbasi, Esmaeil ; Etemadi, Hana ; Smoak, Joseph M. ; Amouniya, Hamaid ; Mahoutchi, Mohammad Hassan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2706-c3110fe8e82621c280420f4643a7b46e5ff8abee384f9efefc93bb025ef81fd93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analytic hierarchy process</topic><topic>Atmospheric correction</topic><topic>Atmospheric models</topic><topic>Atmospheric particulates</topic><topic>Dust</topic><topic>Dust storms</topic><topic>Earth and Environmental Science</topic><topic>Earth science</topic><topic>Earth Sciences</topic><topic>Environmental impact</topic><topic>Identification</topic><topic>Land use</topic><topic>Mathematical models</topic><topic>Numerical models</topic><topic>Original Paper</topic><topic>Pressure</topic><topic>Spatial data</topic><topic>Storms</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abbasi, Esmaeil</creatorcontrib><creatorcontrib>Etemadi, Hana</creatorcontrib><creatorcontrib>Smoak, Joseph M.</creatorcontrib><creatorcontrib>Amouniya, Hamaid</creatorcontrib><creatorcontrib>Mahoutchi, Mohammad Hassan</creatorcontrib><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</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) Professional</collection><jtitle>Arabian journal of geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abbasi, Esmaeil</au><au>Etemadi, Hana</au><au>Smoak, Joseph M.</au><au>Amouniya, Hamaid</au><au>Mahoutchi, Mohammad Hassan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dust storm source detection using ANP and WRF models in southwest of Iran</atitle><jtitle>Arabian journal of geosciences</jtitle><stitle>Arab J Geosci</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>14</volume><issue>15</issue><artnum>1529</artnum><issn>1866-7511</issn><eissn>1866-7538</eissn><abstract>In recent years, dust storms with huge adverse impacts on the environment have become more frequent and intense in the southwest of Iran. The first step to control or influence the dust storm process is source identification. The objective of this study is to detect the major sources of dust storms in Bushehr Province of Iran using the analytic network processes (ANP) and the weather research and forecasting (WRF) models. Five synoptic stations for this purpose were examined over 17 years from 2001 to 2017. The spatial data includes land use, NDVI, slope, aspect-slope, elevation, and soil used as the major layers. The layers were weighted by applying the paired comparison and analytic hierarchy process methods. Also, local scale pressure systems were identified using the WRF numerical model. Results revealed that pressure systems at the local scale in different seasons are located exactly over areas prone to dust storm generation within the study area. Furthermore, the WRF model correctly showed the atmospheric pressure and wind field locations at a local scale. Based on ANP output, more than 25% of Bushehr Province has been active as dust-prone regions at a local scale. The ANP model identified the zones of erosion-prone areas, and the WRF model determined the location of permanent or semi-permanent pressure systems. Results demonstrated that applying the WRF and ANP models provided a useful tool to identify and validate the local dust sources with high accuracy in the study sites.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s12517-021-07608-z</doi><orcidid>https://orcid.org/0000-0002-0325-8192</orcidid></addata></record> |
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subjects | Analytic hierarchy process Atmospheric correction Atmospheric models Atmospheric particulates Dust Dust storms Earth and Environmental Science Earth science Earth Sciences Environmental impact Identification Land use Mathematical models Numerical models Original Paper Pressure Spatial data Storms Weather forecasting |
title | Dust storm source detection using ANP and WRF models in southwest of Iran |
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