Implications of spatial heterogeneity of tailing material and time scale of vegetation growth processes for the design of phytostabilisation
Paula Constantinescu
1
,
Aurora Neagoe
1
,
Andrei Nicoara
1
,
Anja Grawunder
2
,
Stelian Ion
3
,
Marilena Onete
4
,
Virgil Iordache
1
3
“Gheorghe Mihoc-Caius Iacob” Institute of Statistical Mathematics and Applied Mathematics, Romanian Academy , Calea 13 Septembrie, No. 13, 050711 Bucharest , Romania .
|
4
Bucharest Institute of Biology, Romanian Academy, Splaiul Independentei no. 296, Bucharest, Romania.
|
Publication type: Journal Article
Publication date: 2019-11-01
scimago Q1
wos Q1
SJR: 2.137
CiteScore: 16.4
Impact factor: 8.0
ISSN: 00489697, 18791026
PubMed ID:
31539938
Environmental Chemistry
Environmental Engineering
Pollution
Waste Management and Disposal
Abstract
Phytostabilisation projects for tailing dams depend on processes occurring at spatial scales of 106 m2 and at decadal time scales. Most experiments supporting the design and monitoring of such projects have much smaller spatial and time scales. Usually, they are only designed for one single scale. Here, we report the results of three coupled experiments performed at pot, lysimeter and field plot scales using six sampling periodstimes from 3 to 20 months. The work explicitly accounts for the sampling times when evaluating the effects of amendments on the performance of plants grown in tailing substrates. Two treatments with potentially complementary roles were applied: zeolites to decrease availability of Cd, Cu, Pb and Zn and green fertilizer to increase the availability of nutrients. Zeolites have a positive influence on plant development, especially in the early stages. Analyses of the pooled datasets for all sampling times revealed the possibility of predicting plant physiological variables, such as protein concentrations, pigments and oxidative stress enzyme activities, as a function of the factors extracted by principal component analysis from the metal concentrations in plants, phosphorus concentrations in plants, and sampling times. Two potentially general methodological rules were extracted: account for the spatial geochemical variability of tailings, and cover the broadest possible range of time scales by experiments. The proposed experimental methodology can be of general use for the design of tailing dam remediation technologies with improvements involving the set of measured variables and sampling frequency and by carefully relating the costs to the institutional aspects of tailing dam management.
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15
Total citations:
15
Citations from 2024:
5
(33.33%)
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GOST
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Constantinescu P. et al. Implications of spatial heterogeneity of tailing material and time scale of vegetation growth processes for the design of phytostabilisation // Science of the Total Environment. 2019. Vol. 692. pp. 1057-1069.
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Constantinescu P., Neagoe A., Nicoara A., Grawunder A., Ion S., Onete M., Iordache V. Implications of spatial heterogeneity of tailing material and time scale of vegetation growth processes for the design of phytostabilisation // Science of the Total Environment. 2019. Vol. 692. pp. 1057-1069.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.scitotenv.2019.07.299
UR - https://doi.org/10.1016/j.scitotenv.2019.07.299
TI - Implications of spatial heterogeneity of tailing material and time scale of vegetation growth processes for the design of phytostabilisation
T2 - Science of the Total Environment
AU - Constantinescu, Paula
AU - Neagoe, Aurora
AU - Nicoara, Andrei
AU - Grawunder, Anja
AU - Ion, Stelian
AU - Onete, Marilena
AU - Iordache, Virgil
PY - 2019
DA - 2019/11/01
PB - Elsevier
SP - 1057-1069
VL - 692
PMID - 31539938
SN - 0048-9697
SN - 1879-1026
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2019_Constantinescu,
author = {Paula Constantinescu and Aurora Neagoe and Andrei Nicoara and Anja Grawunder and Stelian Ion and Marilena Onete and Virgil Iordache},
title = {Implications of spatial heterogeneity of tailing material and time scale of vegetation growth processes for the design of phytostabilisation},
journal = {Science of the Total Environment},
year = {2019},
volume = {692},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016/j.scitotenv.2019.07.299},
pages = {1057--1069},
doi = {10.1016/j.scitotenv.2019.07.299}
}
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