A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means they always rely on specific assumptions and are sen...
Saved in:
| Main Authors: | Sheng Miao, Guoqing Ni, Guangze Kong, Xiuhe Yuan, Chao Liu, Xiang Shen, Weijun Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0316940 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Utilizing active learning and attention-CNN to classify vegetation based on UAV multispectral data
by: Sheng Miao, et al.
Published: (2024-12-01) -
BIOREMEDIATION - TECHNOLOGY FOR DECONTAMINATION OF SOILS POLLUTED WITH PETROLEUM HYDROCARBONS
by: Irina-Ramona PECINGINĂ, et al.
Published: (2013-05-01) -
Distribution and Fractional Composition of Petroleum Hydrocarbons in Roadside Soils
by: Larysa Mykhailova, et al.
Published: (2013-01-01) -
Role of endophytic fungi in bioremediation of petroleum hydrocarbon contaminated soil
by: V. Muniappan, et al.
Published: (2023-07-01) -
Investigation of heavy metals and petroleum hydrocarbons pollution source in agricultural lands in the south of Tehran
by: Maliheh Jamali, et al.
Published: (2022-09-01)