Spatial variability of heavy metal contents and contamination assessment in forest soils of Daxing'an Mountains
Notice bibliographique
Résumé
Soil heavy metal pollution is a potential hazardous factor to forest health. However,few studies have conducted on heavy metal contents,spatial variability and pollution status of natural forest soils in Daxing'an Mountains. In the study,the contents of Cd,Cr,Pb,Cu,Zn,Ni,Hg and As in forest soils of Daxing'an Mountains were analyzed. The spatial variability of these heavy metal elements mentioned above and their pollution potential in the region were evaluated by using GIS spatial analysis combined with classic heavy metal pollution assessment methods. The results showed that:( 1) The spatial distributions of heavy metal contents exhibited moderate spatial heterogeneity,with variation coefficients from 16.67% to 35.39%. C0/( C0+C)values of Cd,Cr,Pb,Zn,Hg and As were less than 25%,suggesting that the spatial variability of their contents was mainly determined by structural factors,such as soil parent material and topography. C0/( C0+C) values of Cu and Ni varied in the range of 25%-75%,which means that these metals were mainly affected by non-structural factors and human activities. The distribution patterns of heavy metal contents in the region presented as patchy,banded and island modes.( 2) The contents of the eight heavy metals in the region showed a trend of accumulation. However,the average and maximum contents of the eight heavy metals were below the soil threshold levels of the Second Grade Criteria of the China's Environmental Quality Standard( GB 15618-1995). The maximum contents of Cu,Zn and As exceeded the soil threshold levels of the First Grade Criteria,and the maximum contents of the other five elements were below the soil threshold levels of the First Grade Criteria.( 3) As showed by the Geo-accumulation index,there was no pollution risk of Cr,Pb and Ni in the region,while the pollution risk of the other five elements was low. The Nemerow pollution index showed that slight pollution of heavy metals existed for overall soil quality in the region. Single factor ecological risk index showed that no potential risk was detected for Cu,Ni,Pb,Cr,Zn and As contents; however,the contents of Hg and Cd from some sites showed pollution risk. The content of Hg from some sites even reached the Third Pollution Level( moderate risk). The total potential ecological risk index of 80% samples in the study area was at the risk-free level,and that of 20% of the samples was at the general level of risk.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».