Spatial prediction of soil organic carbon in coal mining subsidence areas based on RBF neural network
Abstract A quantitative research on the effect of coal mining on the soil organic carbon (SOC) pool at regional scale is beneficial to the scientific management of SOC pools in coal mining areas and the realization of coal low-carbon mining. Moreover, the spatial prediction model of SOC content suit...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-05-01
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Series: | International Journal of Coal Science & Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40789-023-00588-3 |