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Soil erosion assessment in Rangit catchment, India through a process-based model in the geospatial environment / Hari Venkata Durga Rao Korada in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)  

Public [article]  inGeocarto international > vol 29 n° 5 - 6 (August - October 2014) . - pp 507-519 Titre : Soil erosion assessment in Rangit catchment, India through a process-based model in the geospatial environment Type de document : Article/Communication Auteurs : Hari Venkata Durga Rao Korada, Auteur ; Venkateshwar Rao Vala, Auteur Année de publication : 2014 Article en page(s) : pp 507-519 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse diachronique [Termes IGN] bassin hydrographique [Termes IGN] effondrement de terrain [Termes IGN] érosion [Termes IGN] Inde [Termes IGN] modèle numérique de surface [Termes IGN] occupation du sol [Termes IGN] rivière [Termes IGN] sédimentation Résumé : (auteur) The accurate assessment of soil erosion in the spatial environment can give valuable input in designing reservoirs and for preparing watershed management action plans. Rangit River in northeastern India is affected by severe soil erosion, causing reduction in its reservoir capacity. The main aim of the paper is to estimate the soil erosion in the Rangit catchment, India through a process-based soil erosion model that integrates remote sensing and field data in the geospatial domain, and also to identify the problem areas for further watershed management action plans. Various topographic parameters that were derived from land use, soil texture and a digital elevation model were used for the estimation of soil erosion. The Morgan, Morgan and Finny model was used to compute soil erosion. Based on the drainage pattern, the catchment was divided into eight sub-catchments for detailed study. Annual soil erosion was estimated for four years from 2002 to 2005 using the corresponding year’s meteorological data. Estimated soil erosion was compared with the field data in each year and found very good correlation. Numéro de notice : A2014-409 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.798359 En ligne : https://doi.org/10.1080/10106049.2013.798359 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73946 [article]

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