Details

Functioning of metal contaminated garden soil after remediation
ID Jelušič, Maša (Author), ID Grčman, Helena (Author), ID Vodnik, Dominik (Author), ID Suhadolc, Marjetka (Author), ID Leštan, Domen (Author)

URLURL - Presentation file, Visit http://dx.doi.org/10.1016/j.envpol.2012.10.027 This link opens in a new window

Language:English
Keywords:pranje tal, remediacija tal, čiščenje tal, toksične kovine, težke kovine, biorazpoložljivost
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Year:2013
Number of pages:Str. 63-70
Numbering:Vol. 174
PID:20.500.12556/RUL-36389 This link opens in a new window
UDC:631.4:504
ISSN on article:0269-7491
COBISS.SI-ID:7368313 This link opens in a new window
Publication date in RUL:10.07.2015
Views:2226
Downloads:283
Metadata:XML DC-XML DC-RDF
:
JELUŠIČ, Maša, GRČMAN, Helena, VODNIK, Dominik, SUHADOLC, Marjetka and LEŠTAN, Domen, 2013, Functioning of metal contaminated garden soil after remediation. Environmental pollution [online]. 2013. Vol. 174, p. 63–70. [Accessed 3 April 2025]. Retrieved from: http://dx.doi.org/10.1016/j.envpol.2012.10.027
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Environmental pollution
Shortened title:Environ. pollut.
Publisher:Elsevier
ISSN:0269-7491
COBISS.SI-ID:25405184 This link opens in a new window

Secondary language

Language:English
Keywords:EDTA, soil washing, toxic metals, metal bioavailability, metal phytoaccumolation, soil functioning

Similar documents

Similar works from RUL:
  1. Recognising people’s age from face images with convolutional neural networks
  2. Detekcija uhljev s konvolucijskimi nevronskimi mrežami
  3. Iris recognition using deep learning
  4. Automatic classification of buildings with deep learning
  5. Automatic image captioning using deep neural networks
Similar works from other Slovenian collections:
  1. Person age estimation based on digital images using convolutional neural networks
  2. Person activity recognition from image sequence using convolutional neural networks
  3. Food recognition from digital images using convolutional neural networks
  4. Recognition of human emotions on digital images using convolutional neural networks
  5. Time series classification based on convolutional neural networks

Back