Dynamic analysis of soil erosion and sediment yield engrossment involving rainfall, land use and land cover impacts using GIS-based RUSLE & SDR modeling: southern western Ghats River Basin of Kerala, India
Soil erosion inventory of a river basin is vital for effective soil conservation and sustainable development considering the ongoing Global change. In the current study, gross soil erosion rates (A) are estimated for a mountainous river in a tropical climate, the Karamana River Basin (KRB), southern...
Gespeichert in:
| Veröffentlicht in: | Geosciences journal (Seoul, Korea) Korea), 2024, Vol.28 (6), p.959-980 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 980 |
|---|---|
| container_issue | 6 |
| container_start_page | 959 |
| container_title | Geosciences journal (Seoul, Korea) |
| container_volume | 28 |
| creator | Badimela, Upendra Manohar, Ciba Kamaraj, Jesuraja James, Anju Upasana, Anjali Ganugapenta, Sreenivasulu Krishnan, Anoop |
| description | Soil erosion inventory of a river basin is vital for effective soil conservation and sustainable development considering the ongoing Global change. In the current study, gross soil erosion rates (A) are estimated for a mountainous river in a tropical climate, the Karamana River Basin (KRB), southern India by utilizing the Revised Universal Soil Loss Equation (RUSLE). The RUSLE model computes ‘A’, as a product function of five variables; rainfall erosivity (R), soil erodibility (K), topographic factor (LS), crop management factor (C), and erosion control practice factor (P). To compute these five parameters, the digital elevation model, slope, normalized vegetation index (NDVI), rainfall and land use/land cover (LULC) are used along with the texture data of soil samples collected from KRB. The estimated A values range between 0 to 738.44 t ha
−1
year
−1
, with an average of 10.22 t ha
−1
year
−1
whereas the sediment yield (SY) estimated by utilizing the sediment delivery ratio (SDR) model ranges between 0 to 246.68 t ha
−1
year
−1
with an average of 1.58 t ha
−1
year
−1
for KRB. For further validation, a soil erosion potential index (SEPI) map is developed to identify the soil erosion-prone zones of KRB using the geo-environmental thematic maps following the analytic hierarchy process (AHP). Finally, rainfall impacts on soil erosion are evaluated and quantified for KRB, considering the recent marked variations in rainfall that are induced by the extreme climatic events (cyclones/high rainfall/floods) along the West coast of India. The outcome of this study suggests that increasing rainfall by one standard deviation of the long-term average causes a significant increase in low and medium soil erosion regions. |
| doi_str_mv | 10.1007/s12303-024-0042-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3121049545</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3121049545</sourcerecordid><originalsourceid>FETCH-LOGICAL-c198t-f3023c09bf6104cc8d52e0c86b691d443265c5f07fb952711c536fdf089c89ac3</originalsourceid><addsrcrecordid>eNp1UctOGzEUHVVFKgU-oDtLlVhhuLbH82BXHg1RIyElsLYcjx2MPHawJ0H5SP6pnqQSq66ufc9DR_cUxQ8ClwSgvkqEMmAYaIkBSorhS3FMeNvguqzrr_lNaYXLBqpvxfeUXgF4zaA-Lj7udl72ViHppdslm1AwKAXrkI4h2eAz0KGkO9trP6Cd1a5D2q8ymPYb67fBba1foSitN9K5C-RGzSbpvXb_UWGrI7L9WqohZWjkT6YLvJTZGs2fF7N7dI4Wd3PUh067DF_nFJvhRUeP3nUaxjl5kVk8t6PVjcweY9Y_OkonL9DUd1aeFkc5QdJn_-ZJ8fz7_un2Ac8eJ9PbXzOsSNsM2DCgTEG7NBWBUqmm41SDaqpl1ZKuLBmtuOIGarNsOa0JUZxVpjPQtKpppWInxc-D7zqGt02OJ17DJuYLJsEIzZ4tL3lmkQNLjdeK2oh1tL2MO0FAjK2JQ2sitybG1gRkDT1oUub6lY6fzv8X_QVHrJwp</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3121049545</pqid></control><display><type>article</type><title>Dynamic analysis of soil erosion and sediment yield engrossment involving rainfall, land use and land cover impacts using GIS-based RUSLE & SDR modeling: southern western Ghats River Basin of Kerala, India</title><source>SpringerNature Journals</source><creator>Badimela, Upendra ; Manohar, Ciba ; Kamaraj, Jesuraja ; James, Anju ; Upasana, Anjali ; Ganugapenta, Sreenivasulu ; Krishnan, Anoop</creator><creatorcontrib>Badimela, Upendra ; Manohar, Ciba ; Kamaraj, Jesuraja ; James, Anju ; Upasana, Anjali ; Ganugapenta, Sreenivasulu ; Krishnan, Anoop</creatorcontrib><description>Soil erosion inventory of a river basin is vital for effective soil conservation and sustainable development considering the ongoing Global change. In the current study, gross soil erosion rates (A) are estimated for a mountainous river in a tropical climate, the Karamana River Basin (KRB), southern India by utilizing the Revised Universal Soil Loss Equation (RUSLE). The RUSLE model computes ‘A’, as a product function of five variables; rainfall erosivity (R), soil erodibility (K), topographic factor (LS), crop management factor (C), and erosion control practice factor (P). To compute these five parameters, the digital elevation model, slope, normalized vegetation index (NDVI), rainfall and land use/land cover (LULC) are used along with the texture data of soil samples collected from KRB. The estimated A values range between 0 to 738.44 t ha
−1
year
−1
, with an average of 10.22 t ha
−1
year
−1
whereas the sediment yield (SY) estimated by utilizing the sediment delivery ratio (SDR) model ranges between 0 to 246.68 t ha
−1
year
−1
with an average of 1.58 t ha
−1
year
−1
for KRB. For further validation, a soil erosion potential index (SEPI) map is developed to identify the soil erosion-prone zones of KRB using the geo-environmental thematic maps following the analytic hierarchy process (AHP). Finally, rainfall impacts on soil erosion are evaluated and quantified for KRB, considering the recent marked variations in rainfall that are induced by the extreme climatic events (cyclones/high rainfall/floods) along the West coast of India. The outcome of this study suggests that increasing rainfall by one standard deviation of the long-term average causes a significant increase in low and medium soil erosion regions.</description><identifier>ISSN: 1226-4806</identifier><identifier>EISSN: 1598-7477</identifier><identifier>DOI: 10.1007/s12303-024-0042-0</identifier><language>eng</language><publisher>Seoul: The Geological Society of Korea</publisher><subject>Analytic hierarchy process ; Crop management ; Cyclones ; Digital Elevation Models ; Dynamic analysis ; Earth and Environmental Science ; Earth Sciences ; Erosion control ; Erosion rates ; Geographic information systems ; Geographical information systems ; Land cover ; Land use ; Precipitation ; Rainfall ; River basin development ; River basins ; Rivers ; Sediment ; Sediment yield ; Sediments ; Soil analysis ; Soil conservation ; Soil erosion ; Sustainable development ; Thematic mapping ; Tropical climate ; Vegetation index</subject><ispartof>Geosciences journal (Seoul, Korea), 2024, Vol.28 (6), p.959-980</ispartof><rights>The Association of Korean Geoscience Societies and Springer 2024</rights><rights>The Association of Korean Geoscience Societies and Springer 2024.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c198t-f3023c09bf6104cc8d52e0c86b691d443265c5f07fb952711c536fdf089c89ac3</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/s12303-024-0042-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12303-024-0042-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27931,27932,41495,42564,51326</link.rule.ids></links><search><creatorcontrib>Badimela, Upendra</creatorcontrib><creatorcontrib>Manohar, Ciba</creatorcontrib><creatorcontrib>Kamaraj, Jesuraja</creatorcontrib><creatorcontrib>James, Anju</creatorcontrib><creatorcontrib>Upasana, Anjali</creatorcontrib><creatorcontrib>Ganugapenta, Sreenivasulu</creatorcontrib><creatorcontrib>Krishnan, Anoop</creatorcontrib><title>Dynamic analysis of soil erosion and sediment yield engrossment involving rainfall, land use and land cover impacts using GIS-based RUSLE & SDR modeling: southern western Ghats River Basin of Kerala, India</title><title>Geosciences journal (Seoul, Korea)</title><addtitle>Geosci J</addtitle><description>Soil erosion inventory of a river basin is vital for effective soil conservation and sustainable development considering the ongoing Global change. In the current study, gross soil erosion rates (A) are estimated for a mountainous river in a tropical climate, the Karamana River Basin (KRB), southern India by utilizing the Revised Universal Soil Loss Equation (RUSLE). The RUSLE model computes ‘A’, as a product function of five variables; rainfall erosivity (R), soil erodibility (K), topographic factor (LS), crop management factor (C), and erosion control practice factor (P). To compute these five parameters, the digital elevation model, slope, normalized vegetation index (NDVI), rainfall and land use/land cover (LULC) are used along with the texture data of soil samples collected from KRB. The estimated A values range between 0 to 738.44 t ha
−1
year
−1
, with an average of 10.22 t ha
−1
year
−1
whereas the sediment yield (SY) estimated by utilizing the sediment delivery ratio (SDR) model ranges between 0 to 246.68 t ha
−1
year
−1
with an average of 1.58 t ha
−1
year
−1
for KRB. For further validation, a soil erosion potential index (SEPI) map is developed to identify the soil erosion-prone zones of KRB using the geo-environmental thematic maps following the analytic hierarchy process (AHP). Finally, rainfall impacts on soil erosion are evaluated and quantified for KRB, considering the recent marked variations in rainfall that are induced by the extreme climatic events (cyclones/high rainfall/floods) along the West coast of India. The outcome of this study suggests that increasing rainfall by one standard deviation of the long-term average causes a significant increase in low and medium soil erosion regions.</description><subject>Analytic hierarchy process</subject><subject>Crop management</subject><subject>Cyclones</subject><subject>Digital Elevation Models</subject><subject>Dynamic analysis</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Erosion control</subject><subject>Erosion rates</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Land cover</subject><subject>Land use</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>River basin development</subject><subject>River basins</subject><subject>Rivers</subject><subject>Sediment</subject><subject>Sediment yield</subject><subject>Sediments</subject><subject>Soil analysis</subject><subject>Soil conservation</subject><subject>Soil erosion</subject><subject>Sustainable development</subject><subject>Thematic mapping</subject><subject>Tropical climate</subject><subject>Vegetation index</subject><issn>1226-4806</issn><issn>1598-7477</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1UctOGzEUHVVFKgU-oDtLlVhhuLbH82BXHg1RIyElsLYcjx2MPHawJ0H5SP6pnqQSq66ufc9DR_cUxQ8ClwSgvkqEMmAYaIkBSorhS3FMeNvguqzrr_lNaYXLBqpvxfeUXgF4zaA-Lj7udl72ViHppdslm1AwKAXrkI4h2eAz0KGkO9trP6Cd1a5D2q8ymPYb67fBba1foSitN9K5C-RGzSbpvXb_UWGrI7L9WqohZWjkT6YLvJTZGs2fF7N7dI4Wd3PUh067DF_nFJvhRUeP3nUaxjl5kVk8t6PVjcweY9Y_OkonL9DUd1aeFkc5QdJn_-ZJ8fz7_un2Ac8eJ9PbXzOsSNsM2DCgTEG7NBWBUqmm41SDaqpl1ZKuLBmtuOIGarNsOa0JUZxVpjPQtKpppWInxc-D7zqGt02OJ17DJuYLJsEIzZ4tL3lmkQNLjdeK2oh1tL2MO0FAjK2JQ2sitybG1gRkDT1oUub6lY6fzv8X_QVHrJwp</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Badimela, Upendra</creator><creator>Manohar, Ciba</creator><creator>Kamaraj, Jesuraja</creator><creator>James, Anju</creator><creator>Upasana, Anjali</creator><creator>Ganugapenta, Sreenivasulu</creator><creator>Krishnan, Anoop</creator><general>The Geological Society of Korea</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope></search><sort><creationdate>2024</creationdate><title>Dynamic analysis of soil erosion and sediment yield engrossment involving rainfall, land use and land cover impacts using GIS-based RUSLE & SDR modeling: southern western Ghats River Basin of Kerala, India</title><author>Badimela, Upendra ; Manohar, Ciba ; Kamaraj, Jesuraja ; James, Anju ; Upasana, Anjali ; Ganugapenta, Sreenivasulu ; Krishnan, Anoop</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c198t-f3023c09bf6104cc8d52e0c86b691d443265c5f07fb952711c536fdf089c89ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analytic hierarchy process</topic><topic>Crop management</topic><topic>Cyclones</topic><topic>Digital Elevation Models</topic><topic>Dynamic analysis</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Erosion control</topic><topic>Erosion rates</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Land cover</topic><topic>Land use</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>River basin development</topic><topic>River basins</topic><topic>Rivers</topic><topic>Sediment</topic><topic>Sediment yield</topic><topic>Sediments</topic><topic>Soil analysis</topic><topic>Soil conservation</topic><topic>Soil erosion</topic><topic>Sustainable development</topic><topic>Thematic mapping</topic><topic>Tropical climate</topic><topic>Vegetation index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Badimela, Upendra</creatorcontrib><creatorcontrib>Manohar, Ciba</creatorcontrib><creatorcontrib>Kamaraj, Jesuraja</creatorcontrib><creatorcontrib>James, Anju</creatorcontrib><creatorcontrib>Upasana, Anjali</creatorcontrib><creatorcontrib>Ganugapenta, Sreenivasulu</creatorcontrib><creatorcontrib>Krishnan, Anoop</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geosciences journal (Seoul, Korea)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Badimela, Upendra</au><au>Manohar, Ciba</au><au>Kamaraj, Jesuraja</au><au>James, Anju</au><au>Upasana, Anjali</au><au>Ganugapenta, Sreenivasulu</au><au>Krishnan, Anoop</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic analysis of soil erosion and sediment yield engrossment involving rainfall, land use and land cover impacts using GIS-based RUSLE & SDR modeling: southern western Ghats River Basin of Kerala, India</atitle><jtitle>Geosciences journal (Seoul, Korea)</jtitle><stitle>Geosci J</stitle><date>2024</date><risdate>2024</risdate><volume>28</volume><issue>6</issue><spage>959</spage><epage>980</epage><pages>959-980</pages><issn>1226-4806</issn><eissn>1598-7477</eissn><abstract>Soil erosion inventory of a river basin is vital for effective soil conservation and sustainable development considering the ongoing Global change. In the current study, gross soil erosion rates (A) are estimated for a mountainous river in a tropical climate, the Karamana River Basin (KRB), southern India by utilizing the Revised Universal Soil Loss Equation (RUSLE). The RUSLE model computes ‘A’, as a product function of five variables; rainfall erosivity (R), soil erodibility (K), topographic factor (LS), crop management factor (C), and erosion control practice factor (P). To compute these five parameters, the digital elevation model, slope, normalized vegetation index (NDVI), rainfall and land use/land cover (LULC) are used along with the texture data of soil samples collected from KRB. The estimated A values range between 0 to 738.44 t ha
−1
year
−1
, with an average of 10.22 t ha
−1
year
−1
whereas the sediment yield (SY) estimated by utilizing the sediment delivery ratio (SDR) model ranges between 0 to 246.68 t ha
−1
year
−1
with an average of 1.58 t ha
−1
year
−1
for KRB. For further validation, a soil erosion potential index (SEPI) map is developed to identify the soil erosion-prone zones of KRB using the geo-environmental thematic maps following the analytic hierarchy process (AHP). Finally, rainfall impacts on soil erosion are evaluated and quantified for KRB, considering the recent marked variations in rainfall that are induced by the extreme climatic events (cyclones/high rainfall/floods) along the West coast of India. The outcome of this study suggests that increasing rainfall by one standard deviation of the long-term average causes a significant increase in low and medium soil erosion regions.</abstract><cop>Seoul</cop><pub>The Geological Society of Korea</pub><doi>10.1007/s12303-024-0042-0</doi><tpages>22</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1226-4806 |
| ispartof | Geosciences journal (Seoul, Korea), 2024, Vol.28 (6), p.959-980 |
| issn | 1226-4806 1598-7477 |
| language | eng |
| recordid | cdi_proquest_journals_3121049545 |
| source | SpringerNature Journals |
| subjects | Analytic hierarchy process Crop management Cyclones Digital Elevation Models Dynamic analysis Earth and Environmental Science Earth Sciences Erosion control Erosion rates Geographic information systems Geographical information systems Land cover Land use Precipitation Rainfall River basin development River basins Rivers Sediment Sediment yield Sediments Soil analysis Soil conservation Soil erosion Sustainable development Thematic mapping Tropical climate Vegetation index |
| title | Dynamic analysis of soil erosion and sediment yield engrossment involving rainfall, land use and land cover impacts using GIS-based RUSLE & SDR modeling: southern western Ghats River Basin of Kerala, India |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-08T20%3A59%3A44IST&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=Dynamic%20analysis%20of%20soil%20erosion%20and%20sediment%20yield%20engrossment%20involving%20rainfall,%20land%20use%20and%20land%20cover%20impacts%20using%20GIS-based%20RUSLE%20&%20SDR%20modeling:%20southern%20western%20Ghats%20River%20Basin%20of%20Kerala,%20India&rft.jtitle=Geosciences%20journal%20(Seoul,%20Korea)&rft.au=Badimela,%20Upendra&rft.date=2024&rft.volume=28&rft.issue=6&rft.spage=959&rft.epage=980&rft.pages=959-980&rft.issn=1226-4806&rft.eissn=1598-7477&rft_id=info:doi/10.1007/s12303-024-0042-0&rft_dat=%3Cproquest_cross%3E3121049545%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=3121049545&rft_id=info:pmid/&rfr_iscdi=true |