Détail de l'auteur
Auteur D. C. Jhariya |
Documents disponibles écrits par cet auteur (2)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Comparative study of different models for soil erosion and sediment yield in Pairi watershed, Chhattisgarh, India / Tarun Kumar in Geocarto international, vol 35 n° 11 ([01/08/2020])
[article]
Titre : Comparative study of different models for soil erosion and sediment yield in Pairi watershed, Chhattisgarh, India Type de document : Article/Communication Auteurs : Tarun Kumar, Auteur ; D. C. Jhariya, Auteur ; H.K. Pandey, Auteur Année de publication : 2020 Article en page(s) : pp 1245 - 1266 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] bassin hydrographique
[Termes IGN] érosion côtière
[Termes IGN] Inde
[Termes IGN] modèle RUSLE
[Termes IGN] occupation du sol
[Termes IGN] précipitation
[Termes IGN] sédiment
[Termes IGN] système d'information géographique
[Termes IGN] texture du sol
[Termes IGN] topographie
[Termes IGN] utilisation du solRésumé : (auteur) A Comparative Study of different models for assessment of soil erosion (Universal Soil Loss Equation and Revised Universal Soil Loss Equation) and sediment yield (Modify Universal Soil Loss Equation and Sediment delivery ratio) carried out in Pairi Watershed, Chhattisgarh, India. The main objective is to estimate the spatial pattern of annual soil erosion rate and sediment yield using Remote Sensing and GIS technique which are promising and cost-effective tools for mapping critical areas. To calculate the soil erosion and sediment yield different spatial data sets were utilized such as rainfall, soil texture, topography, land use land cover etc. Obtained result of soil erosion and sediment yield was validated using field check using Baronda CWC Observatory data. It is found that, RUSLE model for soil erosion and MUSLE model for sediment yield has been found to be most reliable for the study area. Numéro de notice : A2020-470 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1576779 Date de publication en ligne : 26/03/2019 En ligne : https://doi.org/10.1080/10106049.2019.1576779 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95567
in Geocarto international > vol 35 n° 11 [01/08/2020] . - pp 1245 - 1266[article]Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques / Tarun Kumar in Geocarto international, vol 32 n° 12 (December 2017)
[article]
Titre : Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques Type de document : Article/Communication Auteurs : Tarun Kumar, Auteur ; D. C. Jhariya, Auteur Année de publication : 2017 Article en page(s) : pp 1367 - 1388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aquifère
[Termes IGN] conservation des ressources naturelles
[Termes IGN] eau pluviale
[Termes IGN] eau souterraine
[Termes IGN] identification automatique
[Termes IGN] image satellite
[Termes IGN] Inde
[Termes IGN] ressources en eau
[Termes IGN] ruissellement
[Termes IGN] site
[Termes IGN] système d'information géographiqueRésumé : (Auteur) This study presents a method to identify potential sites for soil and water conservation techniques for the demarcation of suitable sites for artificial recharge of groundwater aquifers, in the study area. The run-off derived by the Soil Conservation Service Curve Number method is a function of run-off potential which can be expressed in terms of run-off coefficient. The augmentation of water resource is proposed by the construction of rainwater harvesting structures like check dam, percolation pond, farm pond and gully check dam. The site suitability for different water harvesting structures is determined by considering spatially varying parameters like slope, infiltration, run-off potential, landuse/land cover, stream order, soil texture, land capability class, hydrological soil group and micro-watershed area. The determined suitable site has been validated with existing recharge structures of the study area. Accuracy assessment of the suitable sites for recharge structures potential maps of the Bindra watershed is 82.60%. Numéro de notice : A2017-674 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1213772 En ligne : https://doi.org/10.1080/10106049.2016.1213772 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87177
in Geocarto international > vol 32 n° 12 (December 2017) . - pp 1367 - 1388[article]