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Auteur Mania Daneshfar |
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Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models / Samira Ghorbani Nejad in Geocarto international, vol 32 n° 2 (February 2017)
[article]
Titre : Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models Type de document : Article/Communication Auteurs : Samira Ghorbani Nejad, Auteur ; Fatemeh Falah, Auteur ; Mania Daneshfar, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 167 - 187 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] base de données topographiques
[Termes IGN] carte hydrogéologique
[Termes IGN] eau souterraine
[Termes IGN] géomorphologie locale
[Termes IGN] image satellite
[Termes IGN] Iran
[Termes IGN] modèle orienté objet
[Termes IGN] ressources en eau
[Termes IGN] système d'information géographique
[Termes IGN] théorie de Dempster-ShaferRésumé : (auteur) The rapid increase in human population has increased the groundwater resources demand for drinking, agricultural and industrial purposes. The main purpose of this study is to produce groundwater potential map (GPM) using weights-of-evidence (WOE) and evidential belief function (EBF) models based on geographic information system in the Azna Plain, Lorestan Province, Iran. A total number of 370 groundwater wells with discharge more than 10 m3s−1were considered and out of them, 256 (70%) were randomly selected for training purpose, while the remaining114 (30%) were used for validating the model. In next step, the effective factors on the groundwater potential such as altitude, slope aspect, slope angle, curvature, distance from rivers, drainage density, topographic wetness index, fault distance, fault density, lithology and land use were derived from the spatial geodatabases. Subsequently, the GPM was produced using WOE and EBF models. Finally, the validation of the GPMs was carried out using areas under the ROC curve (AUC). Results showed that the GPM prepared using WOE model has the success rate of 73.62%. Similarly, the AUC plot showed 76.21% prediction accuracy for the EBF model which means both the models performed fairly good predication accuracy. The GPMs are useful sources for planners and engineers in water resource management, land use planning and hazard mitigation purpose. Numéro de notice : A2017-133 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1132481 Date de publication en ligne : 25/01/2016 En ligne : http://dx.doi.org/10.1080/10106049.2015.1132481 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85199
in Geocarto international > vol 32 n° 2 (February 2017) . - pp 167 - 187[article]