The effect of oil sludge contamination on morphological and physiological characteristics of some tree species.

The effect of oil sludge contamination on morphological and physiological characteristics of some tree species.

Haroni, Naser Norouzi;Badehian, Ziaedin;Zarafshar, Mehrdad;Bazot, Stéphane;
ecotoxicology (london, england) 2019 Vol. 28 pp. 507-519
260
haroni2019theecotoxicology

Abstract

Although petroleum plays an important part in world economy, its exploitation can bring about a great deal of contamination in soil. To select the tree species being tolerant to soil pollution, a pot experiment has been carried out to assess and compare the growth potential of the seedlings of black locust (Robinia pseudoacacia L.), Chinaberry (Melia azedarach L.), Ailantos (Ailanthus altissima Mill.) and Ash (Fraxinus rotundifolia Mill.) in petroleum-hydrocarbon contaminated soils. The seeds of the mentioned species were subjected to different oil sludge concentrations (0, 10, 20 and 40%) for a growth season of 240 days and then seedling emergence, growth performance, biomass production, photosynthetic parameters and heavy metal absorption were measured to find the species with higher resistantce. For all the species, seedling emergence was significantly reduced under the soil pollution among which F. rotundifolia exhibited a better performance. Besides, growth and biomass of F. rotundifolia and R. pseudoacacia were seldom influenced by oil sludge. In addition, seedlings of A. altissima accumulated higher percentage of the heavy metals (particularly Ni, Cu, Cd) in their leaves by virtue of their wider leaf surface area. This study provides valuable insights into phytoremediation of sites contaminated by oil sludge, using tree species.

Citation

ID: 11983
Ref Key: haroni2019theecotoxicology
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
11983
Unique Identifier:
10.1007/s10646-019-02034-0
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet