The effects of petroleum-contaminated soil on photosynthesis of Amorpha fruticosa seedlings

Hou, Gang; Cui, Bixiao; Zhang, X. X.; Li, K. R.

doi:10.1007/s13762-016-1071-7

Cited by 43 publications

(28 citation statements)

References 52 publications

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“…The more the soil was contaminated, the more LCC decreased. This relationship has been previously noticed under controlled conditions for oil-sensitive species and has been linked to the reduction of water and nutrient availability in soil and the alteration of root uptake capacities [23,81,82]. Similar observations have been made under natural conditions on bramble at leaf scale [43].…”

Section: Prosail-based Methodssupporting

confidence: 80%

Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery

et al. 2019

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Recent remote sensing studies have suggested exploiting vegetation optical properties for assessing oil contamination, especially total petroleum hydrocarbons (TPH) in vegetated areas. Methods based on the tracking of alterations in leaf biochemistry have been proposed for detecting and quantifying TPH under controlled and field conditions. In this study, we expand their use to airborne imagery, in order to monitor oil contamination at a larger scale. Airborne hyperspectral images with very high spatial and spectral resolutions were acquired over an industrial site with oil-contamination (mud pits) and control sites both colonized by Rubus fruticosus L. The method of oil detection exploiting 14 vegetation indices succeeded in classifying the sites in the case of high TPH contamination (overall accuracy ≥ 91.8%). Two methods, based on either the PROSAIL (PROSPECT + SAIL) radiative transfer model or elastic net multiple regression, were also developed for quantifying TPH. Both methods were tested on reflectance measurements in the field, at leaf and canopy scales, and on the image, and achieved accurate predictions of TPH concentrations (RMSE ≤ 3.28 g/kg −1 and RPD ≥ 1.90). The methods were validated on additional sites and open up promising perspectives of operational application for oil and gas companies, with the emergence of new hyperspectral satellite sensors.

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Section: Prosail-based Methodssupporting

confidence: 80%

Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery

et al. 2019

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“…This includes alterations in leaf anatomy (e.g. cuticle and parenchyma thickness), pigment and water contents [15][16]18]. These effects mainly result from the modification of soil properties and the reduction of root uptake capacities [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties

Lassalle

Fabre

Crédoz

et al. 2019

Journal of Hazardous Materials

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Recent advances in hyperspectral spectroscopy suggest making use of leaf optical properties for monitoring soil contamination in oil production regions by detecting pigment alterations induced by Total Petroleum Hydrocarbons (TPH). However, this provides no quantitative information about the level of contamination. To achieve this, we propose an approach based on the inversion of the PROSPECT model. 1620 leaves from five species were collected on a site contaminated by 16 to 77 g.kg-1 of TPH over a 14-month period. Their spectral signature was measured and used in PROSPECT model inversions to retrieve leaf biochemistry. The model performed well for simulating the spectral signatures (RMSE < 2%) and for estimating leaf pigment contents (RMSE ≤ 2.95 µg.cm-2 for chlorophylls). Four out of the five species exhibited alterations in pigment contents when exposed to TPH. A strong correlation was established between leaf chlorophyll content and soil TPH concentrations (R 2 ≥ 0.74) for three of them, allowing accurate predictions of TPH (RMSE = 3.20 g.kg-1 and RPD = 5.17). The accuracy of predictions varied by season and improved after the growing period. This study demonstrates the capacity of PROSPECT to estimate oil contamination and opens up promising perspectives for larger-scale applications.

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“…Keywords: bacteria-destructors of petroleum, Pseudomonas, auxins, bacterization of seeds, germination, biomass of seedlings [Han et al, 2016]. Одним из наиболее эффективных методов биоремедиации является фиторемедиация, основанная на использовании ассоциации растений и бактерийдеструкторов углеводородов.…”

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The Influence of Bacteria-Destructors Hydrocarbons of Petroleum on Germination and Growth of Plants

Бакаева¹,

Kuzina²,

Рафикова³

et al. 2019

ÈKOBIOTEH

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The effects of petroleum-contaminated soil on photosynthesis of Amorpha fruticosa seedlings

Cited by 43 publications

References 52 publications

Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery

Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery

Application of PROSPECT for estimating total petroleum hydrocarbons in contaminated soils from leaf optical properties

The Influence of Bacteria-Destructors Hydrocarbons of Petroleum on Germination and Growth of Plants

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