Soil-Gas Diffusivity-Based Characterization of Variably Saturated Agricultural Topsoils
| Autor: | A. M. S. N. Abeysinghe, M. M. T. Lakshani, U. D. H. N. Amarasinghe, Yuan Li, T. K. K. Chamindu Deepagoda, Wei Fu, Jun Fan, Ting Yang, Xiaoyi Ma, Tim Clough, Bo Elberling, Kathleen Smits |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Water; Volume 14; Issue 18; Pages: 2900 Abeysinghe, A M S N, Lakshani, M M T, Amarasinghe, U D H N, Li, Y, Deepagoda, T K K C, Fu, W, Fan, J, Yang, T, Ma, X, Clough, T, Elberling, B & Smits, K 2022, ' Soil-Gas Diffusivity-Based Characterization of Variably Saturated Agricultural Topsoils ', Water, vol. 14, no. 18, 2900 . https://doi.org/10.3390/w14182900 |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w14182900 |
| Popis: | Soil-gas diffusivity and its variation with soil moisture plays a fundamental role in diffusion-controlled migration of climate-impact gases from different terrestrial agroecosystems including cultivated soils and managed pasture systems. The wide contrast in soil texture and structure (e.g., density, soil aggregation) in agriculture topsoils (0–10 cm) makes it challenging for soil-gas diffusivity predictive models to make accurate predictions across different moisture conditions. This study characterized gas diffusivity and gas-phase tortuosity in soils sampled from managed pasture and cultivated sites in Sri Lanka at 0–10 cm depth, together with selected soil-gas diffusivity data from the literature. Soil-gas diffusivity was measured using a one-chamber diffusion apparatus using N2 and O2 as experimental gases. The measured diffusivity, together with literature data representing both intact and repacked soils, were tested against five existing widely known gas diffusivity predictive models. The tested models tended to mischaracterize the two-region behavior in some of the aggregated soils, suggesting the need of soil-specific diffusivity models to better describe gas diffusivity in agricultural soils. We suggested a new parametric two-region model, developed in line with literature-based models, to represent both unimodal and bimodal/two-region behavior of selected soils. The new model statistically outperformed the existing predictive models for both intact and repacked soils and, hence, demonstrated its applicability to better characterize site-specific greenhouse gas emissions under different soil water regimes. |
| Databáze: | OpenAIRE |
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