Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan

Soil erosion and consequent sedimentation are natural processes that are enhanced by human activities. Soil erosion and related land degradation are major issues, particularly in subtropical monsoon-dominated parts of the world. Soil erosion not only endangers soil fertility and food availability bu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Arabian journal of geosciences 2023, Vol.16 (7), Article 440
Hauptverfasser: Nasir, Muhammad Jamal, Alam, Said, Ahmad, Waqas, Bateni, Sayed M., Iqbal, Javed, Almazroui, Mansour, Ahmad, Burhan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 7
container_start_page
container_title Arabian journal of geosciences
container_volume 16
creator Nasir, Muhammad Jamal
Alam, Said
Ahmad, Waqas
Bateni, Sayed M.
Iqbal, Javed
Almazroui, Mansour
Ahmad, Burhan
description Soil erosion and consequent sedimentation are natural processes that are enhanced by human activities. Soil erosion and related land degradation are major issues, particularly in subtropical monsoon-dominated parts of the world. Soil erosion not only endangers soil fertility and food availability but also harms aquatic ecosystems and water supplies. The purpose of this research is to quantify and map the yearly soil loss in the Panjkora river basin, Pakistan. The Revised Universal Soil Loss Equation (RUSLE) model is used in the geospatial environment to achieve the study objectives. The results reveal that the Panjkora basin is moderate to highly susceptible to soil erosion. The estimated annual soil loss from the basin is 5.94 million tons or 10.25 tons per hectare/year. Though the high and very high soil erosion is experienced only in 2.18% of the overall study area, is responsible for 78.52% of the entire soil loss from the Panjkora basin. The study suggests that the K factor (soil type), R factor (rainfall intensity), and LS factor (topography) have the most significant impact on soil erosion in the study area. This study emphasizes the need for proper land and water resource management with viable rehabilitation measures. The soil risk map aids in identifying soil erosion hotspots where efforts should be concentrated to prevent future soil loss. Terraced agricultural and arboriculture methods should be implemented in the Panjkora river basin to prevent additional soil loss.
doi_str_mv 10.1007/s12517-023-11555-2
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2830877917</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2830877917</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1642-6c4e5bea39df3119c748c4b458887616686ef12a5ab316db2d49719e989e577f3</originalsourceid><addsrcrecordid>eNp9kE9Pg0AQxYnRxFr9Ap428Vp0Z2H_4E2bWo1NbKo9bxZYWgqFugOafnupGL15mnnJ773JPM-7BHoNlMobBMZB-pQFPgDn3GdH3gCUEL7kgTr-3QFOvTPEDaVCUakGXju1Ne5Mk5uSYJ2XpKwRicuxIAbRIm5t1ZAW82pFFsvX2YRs69SWt8QQbNp0T-qMzE21KWpnyCL_sI7cm44ekef1Pu7U3BTrpq2K9acZHUSOjanOvZPMlGgvfubQWz5M3saP_uxl-jS-m_kJiJD5Igktj60JojQLAKJEhioJ45ArpaQAIZSwGTDDTRyASGOWhpGEyEYqslzKLBh6V33uztXvrcVGb-rWVd1JzVRAlZQRyI5iPZW47nlnM71z-da4vQaqD_Xqvl7d1au_69WsMwW9CTu4Wln3F_2P6wsbwH0X</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2830877917</pqid></control><display><type>article</type><title>Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan</title><source>SpringerLink Journals</source><creator>Nasir, Muhammad Jamal ; Alam, Said ; Ahmad, Waqas ; Bateni, Sayed M. ; Iqbal, Javed ; Almazroui, Mansour ; Ahmad, Burhan</creator><creatorcontrib>Nasir, Muhammad Jamal ; Alam, Said ; Ahmad, Waqas ; Bateni, Sayed M. ; Iqbal, Javed ; Almazroui, Mansour ; Ahmad, Burhan</creatorcontrib><description>Soil erosion and consequent sedimentation are natural processes that are enhanced by human activities. Soil erosion and related land degradation are major issues, particularly in subtropical monsoon-dominated parts of the world. Soil erosion not only endangers soil fertility and food availability but also harms aquatic ecosystems and water supplies. The purpose of this research is to quantify and map the yearly soil loss in the Panjkora river basin, Pakistan. The Revised Universal Soil Loss Equation (RUSLE) model is used in the geospatial environment to achieve the study objectives. The results reveal that the Panjkora basin is moderate to highly susceptible to soil erosion. The estimated annual soil loss from the basin is 5.94 million tons or 10.25 tons per hectare/year. Though the high and very high soil erosion is experienced only in 2.18% of the overall study area, is responsible for 78.52% of the entire soil loss from the Panjkora basin. The study suggests that the K factor (soil type), R factor (rainfall intensity), and LS factor (topography) have the most significant impact on soil erosion in the study area. This study emphasizes the need for proper land and water resource management with viable rehabilitation measures. The soil risk map aids in identifying soil erosion hotspots where efforts should be concentrated to prevent future soil loss. Terraced agricultural and arboriculture methods should be implemented in the Panjkora river basin to prevent additional soil loss.</description><identifier>ISSN: 1866-7511</identifier><identifier>EISSN: 1866-7538</identifier><identifier>DOI: 10.1007/s12517-023-11555-2</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aquatic ecosystems ; Earth and Environmental Science ; Earth science ; Earth Sciences ; Fertility ; Food availability ; Food supply ; Human influences ; Land degradation ; Original Paper ; Rainfall ; Rainfall intensity ; Rehabilitation ; Resource management ; Risk assessment ; River basins ; Rivers ; Soil erosion ; Soil fertility ; Soil types ; Water resources ; Water resources management ; Water supply</subject><ispartof>Arabian journal of geosciences, 2023, Vol.16 (7), Article 440</ispartof><rights>Saudi Society for Geosciences and Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1642-6c4e5bea39df3119c748c4b458887616686ef12a5ab316db2d49719e989e577f3</citedby><cites>FETCH-LOGICAL-c1642-6c4e5bea39df3119c748c4b458887616686ef12a5ab316db2d49719e989e577f3</cites><orcidid>0000-0002-3250-8015</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/s12517-023-11555-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12517-023-11555-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Nasir, Muhammad Jamal</creatorcontrib><creatorcontrib>Alam, Said</creatorcontrib><creatorcontrib>Ahmad, Waqas</creatorcontrib><creatorcontrib>Bateni, Sayed M.</creatorcontrib><creatorcontrib>Iqbal, Javed</creatorcontrib><creatorcontrib>Almazroui, Mansour</creatorcontrib><creatorcontrib>Ahmad, Burhan</creatorcontrib><title>Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan</title><title>Arabian journal of geosciences</title><addtitle>Arab J Geosci</addtitle><description>Soil erosion and consequent sedimentation are natural processes that are enhanced by human activities. Soil erosion and related land degradation are major issues, particularly in subtropical monsoon-dominated parts of the world. Soil erosion not only endangers soil fertility and food availability but also harms aquatic ecosystems and water supplies. The purpose of this research is to quantify and map the yearly soil loss in the Panjkora river basin, Pakistan. The Revised Universal Soil Loss Equation (RUSLE) model is used in the geospatial environment to achieve the study objectives. The results reveal that the Panjkora basin is moderate to highly susceptible to soil erosion. The estimated annual soil loss from the basin is 5.94 million tons or 10.25 tons per hectare/year. Though the high and very high soil erosion is experienced only in 2.18% of the overall study area, is responsible for 78.52% of the entire soil loss from the Panjkora basin. The study suggests that the K factor (soil type), R factor (rainfall intensity), and LS factor (topography) have the most significant impact on soil erosion in the study area. This study emphasizes the need for proper land and water resource management with viable rehabilitation measures. The soil risk map aids in identifying soil erosion hotspots where efforts should be concentrated to prevent future soil loss. Terraced agricultural and arboriculture methods should be implemented in the Panjkora river basin to prevent additional soil loss.</description><subject>Aquatic ecosystems</subject><subject>Earth and Environmental Science</subject><subject>Earth science</subject><subject>Earth Sciences</subject><subject>Fertility</subject><subject>Food availability</subject><subject>Food supply</subject><subject>Human influences</subject><subject>Land degradation</subject><subject>Original Paper</subject><subject>Rainfall</subject><subject>Rainfall intensity</subject><subject>Rehabilitation</subject><subject>Resource management</subject><subject>Risk assessment</subject><subject>River basins</subject><subject>Rivers</subject><subject>Soil erosion</subject><subject>Soil fertility</subject><subject>Soil types</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Water supply</subject><issn>1866-7511</issn><issn>1866-7538</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE9Pg0AQxYnRxFr9Ap428Vp0Z2H_4E2bWo1NbKo9bxZYWgqFugOafnupGL15mnnJ773JPM-7BHoNlMobBMZB-pQFPgDn3GdH3gCUEL7kgTr-3QFOvTPEDaVCUakGXju1Ne5Mk5uSYJ2XpKwRicuxIAbRIm5t1ZAW82pFFsvX2YRs69SWt8QQbNp0T-qMzE21KWpnyCL_sI7cm44ekef1Pu7U3BTrpq2K9acZHUSOjanOvZPMlGgvfubQWz5M3saP_uxl-jS-m_kJiJD5Igktj60JojQLAKJEhioJ45ArpaQAIZSwGTDDTRyASGOWhpGEyEYqslzKLBh6V33uztXvrcVGb-rWVd1JzVRAlZQRyI5iPZW47nlnM71z-da4vQaqD_Xqvl7d1au_69WsMwW9CTu4Wln3F_2P6wsbwH0X</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Nasir, Muhammad Jamal</creator><creator>Alam, Said</creator><creator>Ahmad, Waqas</creator><creator>Bateni, Sayed M.</creator><creator>Iqbal, Javed</creator><creator>Almazroui, Mansour</creator><creator>Ahmad, Burhan</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/0000-0002-3250-8015</orcidid></search><sort><creationdate>2023</creationdate><title>Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan</title><author>Nasir, Muhammad Jamal ; Alam, Said ; Ahmad, Waqas ; Bateni, Sayed M. ; Iqbal, Javed ; Almazroui, Mansour ; Ahmad, Burhan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1642-6c4e5bea39df3119c748c4b458887616686ef12a5ab316db2d49719e989e577f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aquatic ecosystems</topic><topic>Earth and Environmental Science</topic><topic>Earth science</topic><topic>Earth Sciences</topic><topic>Fertility</topic><topic>Food availability</topic><topic>Food supply</topic><topic>Human influences</topic><topic>Land degradation</topic><topic>Original Paper</topic><topic>Rainfall</topic><topic>Rainfall intensity</topic><topic>Rehabilitation</topic><topic>Resource management</topic><topic>Risk assessment</topic><topic>River basins</topic><topic>Rivers</topic><topic>Soil erosion</topic><topic>Soil fertility</topic><topic>Soil types</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Water supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nasir, Muhammad Jamal</creatorcontrib><creatorcontrib>Alam, Said</creatorcontrib><creatorcontrib>Ahmad, Waqas</creatorcontrib><creatorcontrib>Bateni, Sayed M.</creatorcontrib><creatorcontrib>Iqbal, Javed</creatorcontrib><creatorcontrib>Almazroui, Mansour</creatorcontrib><creatorcontrib>Ahmad, Burhan</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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Arabian journal of geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nasir, Muhammad Jamal</au><au>Alam, Said</au><au>Ahmad, Waqas</au><au>Bateni, Sayed M.</au><au>Iqbal, Javed</au><au>Almazroui, Mansour</au><au>Ahmad, Burhan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan</atitle><jtitle>Arabian journal of geosciences</jtitle><stitle>Arab J Geosci</stitle><date>2023</date><risdate>2023</risdate><volume>16</volume><issue>7</issue><artnum>440</artnum><issn>1866-7511</issn><eissn>1866-7538</eissn><abstract>Soil erosion and consequent sedimentation are natural processes that are enhanced by human activities. Soil erosion and related land degradation are major issues, particularly in subtropical monsoon-dominated parts of the world. Soil erosion not only endangers soil fertility and food availability but also harms aquatic ecosystems and water supplies. The purpose of this research is to quantify and map the yearly soil loss in the Panjkora river basin, Pakistan. The Revised Universal Soil Loss Equation (RUSLE) model is used in the geospatial environment to achieve the study objectives. The results reveal that the Panjkora basin is moderate to highly susceptible to soil erosion. The estimated annual soil loss from the basin is 5.94 million tons or 10.25 tons per hectare/year. Though the high and very high soil erosion is experienced only in 2.18% of the overall study area, is responsible for 78.52% of the entire soil loss from the Panjkora basin. The study suggests that the K factor (soil type), R factor (rainfall intensity), and LS factor (topography) have the most significant impact on soil erosion in the study area. This study emphasizes the need for proper land and water resource management with viable rehabilitation measures. The soil risk map aids in identifying soil erosion hotspots where efforts should be concentrated to prevent future soil loss. Terraced agricultural and arboriculture methods should be implemented in the Panjkora river basin to prevent additional soil loss.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s12517-023-11555-2</doi><orcidid>https://orcid.org/0000-0002-3250-8015</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1866-7511
ispartof Arabian journal of geosciences, 2023, Vol.16 (7), Article 440
issn 1866-7511
1866-7538
language eng
recordid cdi_proquest_journals_2830877917
source SpringerLink Journals
subjects Aquatic ecosystems
Earth and Environmental Science
Earth science
Earth Sciences
Fertility
Food availability
Food supply
Human influences
Land degradation
Original Paper
Rainfall
Rainfall intensity
Rehabilitation
Resource management
Risk assessment
River basins
Rivers
Soil erosion
Soil fertility
Soil types
Water resources
Water resources management
Water supply
title Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T14%3A49%3A18IST&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=Geospatial%20soil%20loss%20risk%20assessment%20using%20RUSLE%20model:%20a%20study%20of%20Panjkora%20River%20Basin,%20Khyber%20Pakhtunkhwa,%20Pakistan&rft.jtitle=Arabian%20journal%20of%20geosciences&rft.au=Nasir,%20Muhammad%20Jamal&rft.date=2023&rft.volume=16&rft.issue=7&rft.artnum=440&rft.issn=1866-7511&rft.eissn=1866-7538&rft_id=info:doi/10.1007/s12517-023-11555-2&rft_dat=%3Cproquest_cross%3E2830877917%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=2830877917&rft_id=info:pmid/&rfr_iscdi=true