1
Return

Clustering analysis of a solid waste landfill using ERT and TDIP geophysical data

delete2026-07-07
delete0
PRE
AI
K
Kexiang Zhai
H
Hao Ma
X
Xiaolei Guan
R
Ruijue Zhao
J
Jian Meng
刘柿良 cover
刘柿良 (Shiliang Liu)
毛德强 cover
毛德强 (Deqiang Mao) *
DOI：10.1016/j.wasman.2026.115731delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• ML-enhanced geophysics autonomously identifies landfill waste contamination zones. • K-means clustering of resistivity and phase performs waste type and spatial zoning. • Unsupervised clustering reduces interpretation bias in landfill characterization.
Keywords:
Induced polarization (IP)
K-means clustering
Solid waste deposits
Chromium-containing sludge
Borehole validation

Journal

Waste Management cover
Waste Management
IF:
7.1
Papers:
10.0K
Citations:
5.3W

Organization

No organization information available
Cited Papers

Cited Papers

Citing Papers

Citing Papers