Unknown

Dataset Information

0

Evaluation of redevelopment priority of abandoned industrial and mining land based on heavy metal pollution.


ABSTRACT: Heavy metal contamination in soil is an important factor affecting the determination of safe redevelopment methods for industrial and mining land. In this paper, the soil environment of a typical mining city in northern China was taken as the research object, 148 surface soil samples were collected and the contents of heavy metals were measured. The health risk classification criteria for heavy metal contamination of soils and the method of priority assessment for redevelopment were used. The results showed that: the risk of potential utilization types of heavy metals in the abandoned industrial and mining land is different. When the utilization type is agricultural land, the soil environmental quality is good as a whole, and a small number of plots are polluted by cadmium (Cd)and mercury (Hg); When the land use type is construction land, the risk of heavy metal pollution comes from chromium (Cr); The priority of development in this study area is as follows: agricultural land > construction land > ecological land.

SUBMITTER: Gao X 

PROVIDER: S-EPMC8321123 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

Evaluation of redevelopment priority of abandoned industrial and mining land based on heavy metal pollution.

Gao Xing X   Tian Junping J   Huo Zheng Z   Wu Yanbin Y   Li Chenxi C  

PloS one 20210729 7


Heavy metal contamination in soil is an important factor affecting the determination of safe redevelopment methods for industrial and mining land. In this paper, the soil environment of a typical mining city in northern China was taken as the research object, 148 surface soil samples were collected and the contents of heavy metals were measured. The health risk classification criteria for heavy metal contamination of soils and the method of priority assessment for redevelopment were used. The re  ...[more]

Similar Datasets

| S-EPMC6418243 | biostudies-literature
| S-EPMC4440741 | biostudies-literature
| S-EPMC6888271 | biostudies-literature
| S-EPMC8571961 | biostudies-literature
| S-EPMC4339716 | biostudies-literature
| S-EPMC8998205 | biostudies-literature
| S-EPMC9407723 | biostudies-literature
| S-EPMC10163204 | biostudies-literature
| S-EPMC8382892 | biostudies-literature
| S-EPMC7605699 | biostudies-literature