Investigating Sub-soil Moisture Variation of Engineered Turf Cover for Landfills Through Field Instrumentation

DOI

10.2991/978-94-6463-104-3_14How to use a DOI?

Keywords

Engineered Turf; Landfill Cover; Spearman’s Rank Correlation

Abstract

Understanding the moisture distribution pattern and associated suction variability of soil in response to environmental loading (e.g., precipitation, temperature) is important. However, there is a lack of understanding of the spatial variability of moisture and suction in different final cover systems. In this study, the spatial correlations between soil moisture and suction data from field instrumentation are examined using Spearman’s rank correlation test of three different types of landfill final cover systems: evapotranspiration (ET) cover, conventional clay cover, and engineered turf cover, under identical atmospheric conditions. In addition, box and whiskers plots were used to investigate the distribution of the field-measured data under environmental fluctuation. As observed from the box plot, soil moisture displayed maximum spatial heterogeneity in clay cover and very less in the engineered turf cover under identical environmental conditions. The ET cover exhibited a very strong spatial correlation of moisture and suction as indicated by the highly significant Spearman’s rank correlations (r_s) ranging from −0.88 to −0.93. The clay cover showed a strong to moderate correlation (−0.51 < r_s < −0.74) between the spatial distribution of moisture and suction. On the other hand, the engineered turf cover displayed poor agreement of the spatial moisture-suction distribution implying the soil under the engineered turf is relatively non-responsive under environmental variability compared to clay and ET cover. The preliminary findings from this study showed engineered turf’s capacity to maintain more moisture stability of the turf under the humid subtropical climate than other landfill covers.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Md. Jobair Bin Alam
AU  - Maalvika Aggarwal
PY  - 2023
DA  - 2023/03/01
TI  - Investigating Sub-soil Moisture Variation of Engineered Turf Cover for Landfills Through Field Instrumentation
BT  - Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)
PB  - Atlantis Press
SP  - 143
EP  - 153
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-104-3_14
DO  - 10.2991/978-94-6463-104-3_14
ID  - Alam2023
ER  -