Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Hattab, Nour, Hambli, Ridha, Motelica-Heino, Mikael, Bourrat, Xavier, Mench, Michel (2013) Application of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils. Journal of Geochemical Exploration, 128. 25-34 doi:10.1016/j.gexplo.2013.01.005

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleApplication of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils
JournalJournal of Geochemical Exploration
AuthorsHattab, NourAuthor
Hambli, RidhaAuthor
Motelica-Heino, MikaelAuthor
Bourrat, XavierAuthor
Mench, MichelAuthor
Year2013 (May)Volume128
PublisherElsevier BV
URL
DOIdoi:10.1016/j.gexplo.2013.01.005Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID717877Long-form Identifiermindat:1:5:717877:5
GUID0
Full ReferenceHattab, Nour, Hambli, Ridha, Motelica-Heino, Mikael, Bourrat, Xavier, Mench, Michel (2013) Application of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils. Journal of Geochemical Exploration, 128. 25-34 doi:10.1016/j.gexplo.2013.01.005
Plain TextHattab, Nour, Hambli, Ridha, Motelica-Heino, Mikael, Bourrat, Xavier, Mench, Michel (2013) Application of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils. Journal of Geochemical Exploration, 128. 25-34 doi:10.1016/j.gexplo.2013.01.005
In(2013) Journal of Geochemical Exploration Vol. 128. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Hattab, Nour, Motelica-Heino, Mikael (2014) Application of an inverse neural network model for the identification of optimal amendment to reduce copper toxicity in phytoremediated contaminated soils. Journal of Geochemical Exploration, 136. 14-23 doi:10.1016/j.gexplo.2013.09.002
Lebrun, Manhattan, Macri, Carmelo, Miard, Florie, Hattab-Hambli, Nour, Motelica-Heino, Mikael, Morabito, Domenico, Bourgerie, Sylvain (2017) Effect of biochar amendments on As and Pb mobility and phytoavailability in contaminated mine technosols phytoremediated by Salix. Journal of Geochemical Exploration, 182. 149-156 doi:10.1016/j.gexplo.2016.11.016
Hattab-Hambli, Nour, Motelica-Heino, Mikael, Mench, Michel (2016) Aided phytoextraction of Cu, Pb, Zn, and As in copper-contaminated soils with tobacco and sunflower in crop rotation: Mobility and phytoavailability assessment. Chemosphere, 145. 543-550 doi:10.1016/j.chemosphere.2015.11.051
Lomaglio, Tonia, Hattab-Hambli, Nour, Bret, Alain, Miard, Florie, Trupiano, Dalila, Scippa, Gabriella Stefania, Motelica-Heino, Mikael, Bourgerie, Sylvain, Morabito, Domenico (2017) Effect of biochar amendments on the mobility and (bio) availability of As, Sb and Pb in a contaminated mine technosol. Journal of Geochemical Exploration, 182. 138-148 doi:10.1016/j.gexplo.2016.08.007
Le Forestier, Lydie, Motelica-Heino, Mikael, Le Coustumer, Philippe, Mench, Michel (2017) Phytostabilisation of a copper contaminated topsoil aided by basic slags: assessment of Cu mobility and phytoavailability. Journal of Soils and Sediments, 17 (5). 1262-1271 doi:10.1007/s11368-015-1299-8
Roohi, Reza, Jafari, Mohammad, Jahantab, Esfandiar, Aman, Maryam Saffari, Moameri, Mehdi, Zare, Salman (2020) Application of artificial neural network model for the identification the effect of municipal waste compost and biochar on phytoremediation of contaminated soils. Journal of Geochemical Exploration, 208. 106399 doi:10.1016/j.gexplo.2019.106399
Lotfy, S.M., Mostafa, A.Z. (2014) Phytoremediation of contaminated soil with cobalt and chromium. Journal of Geochemical Exploration, 144. 367-373 doi:10.1016/j.gexplo.2013.07.003
Evseev, A.V., Krasovskaya, T.M. (2017) Toxic metals in soils of the Russian North. Journal of Geochemical Exploration, 174. 128-131 doi:10.1016/j.gexplo.2015.05.018
Beucher, Amélie, Österholm, Peter, Martinkauppi, Annu, Edén, Peter, Fröjdö, Sören (2013) Artificial neural network for acid sulfate soil mapping: Application to the Sirppujoki River catchment area, south-western Finland. Journal of Geochemical Exploration, 125. 46-55 doi:10.1016/j.gexplo.2012.11.002
Qasim, Bashar, Motelica-Heino, Mikael, Bourgerie, Sylvain, Gauthier, Arnaud, Morabito, Domenico (2016) Rhizosphere effects of Populus euramericana Dorskamp on the mobility of Zn, Pb and Cd in contaminated technosols. Journal of Soils and Sediments, 16 (3). 811-820 doi:10.1007/s11368-015-1270-8
Tripathi, Nimisha, Choppala, Girish, Singh, Raj S. (2017) Evaluation of modified chitosan for remediation of zinc contaminated soils. Journal of Geochemical Exploration, 182. 180-184 doi:10.1016/j.gexplo.2016.08.011
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 16, 2025 17:46:16
Go to top of page