Comprehensive geophysical, geotechnical, and geochemical assessments of an offshore landfill in Singapore

Loading...
Thumbnail Image

Date published

Free to read from

2024-09-25

Authors

Zhang, Zhibo
Yuan, Ziwen
Hu, Lei
Coulon, Frederic
Liu, Huaxin
Cheng, Zhanbo
Wu, Shifan
Liu, Qian
Pi, Xiaoqing
Wu, Wei

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Department

Course name

ISSN

0304-3894

Format

Citation

Zhang Z, Yuan Z, Hu L, et al., (2024) Comprehensive geophysical, geotechnical, and geochemical assessments of an offshore landfill in Singapore. Journal of Hazardous Materials, Volume 480, December 2024, Article number 135908

Abstract

Comprehensive site investigation techniques, including Electrical Resistivity Tomography (ERT), Induced Polarization (IP), Multichannel Analysis of Surface Waves (MASW), and Microtremor Array Method (MAM), were integrated with geotechnical and geochemical tests of retrieved waste samples from Singapore’s operational offshore landfill. The properties of landfill wastes vary widely, including shear-wave velocities 127–248 m/s, densities 1.2–2.1 Mg/m3, resistivity 3.0–25.3 Ω∙m, and chargeability 48–82 mV/V. The natural clay layer underneath was clearly delineated and effectively mitigated leachate leakage. K-means clustering of the geophysical data facilitates precise mapping of waste distribution and quantities of recoverable metals based on quantitative criteria. This study illustrates a thorough case study adopting the new site investigation and characterization paradigm for an offshore landfill, which provides insights into leachate leakage detection and evaluations of landfill mining and resource recovery.

Description

Software Description

Software Language

Github

Keywords

40 Engineering, Strategic, Defence & Security Studies, 34 Chemical sciences, 41 Environmental sciences, landfill investigation, electrical resistivity tomography, time-domain induced polarization, shear-wave velocity, 3D geophysical modeling, K-means clustering.

DOI

Rights

Attribution 4.0 International

Funder/s

This research/project is supported by the National Research Foundation, Singapore, and the National Environment Agency, Singapore under its Closing the Waste Loop Funding Initiative (Award No. USS-IF-2021–4).

Relationships

Relationships

Resources