Effect of temperature on mudstone disintegration process revealed with image analysis
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2022
Authors
Yan, Luo-binPetrović, Srdjan
Huang, Cheng
Xie, Chun-xia
Zong, Hui-ming
Kašanin-Grubin, Milica

Article (Published version)

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Quantifying rock weathering processes, especially in ways of nondisturbance and on-site investigation, is one of the most critical tasks in predicting rocks erosion rates and understanding the sediment transportation. We proposed a more reproducible approach to test how image analysis can quantify the changes in the size and shape of fragments during the weathering process. Four artificial models were designed to select suitable metrics among over 20 parameters. To validate the efficiency of image analysis, we analyzed rocks from badlands in Nanxiong Basin, Southeast China, under three different ranges of temperature differences (TD) during cyclic wetting and drying (WD). Our results show that TDs can accelerate the disintegration rate, and even if there is only a 20°C difference in the range of TDs, an apparent difference in fragment size was observed. Moreover, the shape of fragments became more round as the increasing number of cyclic treatments, and for samples that went through th...e same number of treatments, the larger the temperature difference, the more round the shape became. All that serves as another evidence for landscape evolution response to climatic warming.
Source:
Journal of Mountain Science, 2022, 19, 7, 2126-2135Publisher:
- Springer
Funding / projects:
- Natural Science Foundation of China (Grants 41901005)
- China Scholarship Council [grant number CSC201806995083]
- Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200026 (University of Belgrade, Institute of Chemistry, Technology and Metallurgy - IChTM) (RS-200026)
- Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200168 (University of Belgrade, Faculty of Chemistry) (RS-200168)
- Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200358 (BioSense Institute) (RS-200358)
DOI: 10.1007/s11629-021-7268-3
ISSN: 1672-6316; 1993-0321
WoS: 00082775160002
Scopus: 2-s2.0-85134369518
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IHTMTY - JOUR AU - Yan, Luo-bin AU - Petrović, Srdjan AU - Huang, Cheng AU - Xie, Chun-xia AU - Zong, Hui-ming AU - Kašanin-Grubin, Milica PY - 2022 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/5589 AB - Quantifying rock weathering processes, especially in ways of nondisturbance and on-site investigation, is one of the most critical tasks in predicting rocks erosion rates and understanding the sediment transportation. We proposed a more reproducible approach to test how image analysis can quantify the changes in the size and shape of fragments during the weathering process. Four artificial models were designed to select suitable metrics among over 20 parameters. To validate the efficiency of image analysis, we analyzed rocks from badlands in Nanxiong Basin, Southeast China, under three different ranges of temperature differences (TD) during cyclic wetting and drying (WD). Our results show that TDs can accelerate the disintegration rate, and even if there is only a 20°C difference in the range of TDs, an apparent difference in fragment size was observed. Moreover, the shape of fragments became more round as the increasing number of cyclic treatments, and for samples that went through the same number of treatments, the larger the temperature difference, the more round the shape became. All that serves as another evidence for landscape evolution response to climatic warming. PB - Springer T2 - Journal of Mountain Science T1 - Effect of temperature on mudstone disintegration process revealed with image analysis VL - 19 IS - 7 SP - 2126 EP - 2135 DO - 10.1007/s11629-021-7268-3 ER -
@article{ author = "Yan, Luo-bin and Petrović, Srdjan and Huang, Cheng and Xie, Chun-xia and Zong, Hui-ming and Kašanin-Grubin, Milica", year = "2022", abstract = "Quantifying rock weathering processes, especially in ways of nondisturbance and on-site investigation, is one of the most critical tasks in predicting rocks erosion rates and understanding the sediment transportation. We proposed a more reproducible approach to test how image analysis can quantify the changes in the size and shape of fragments during the weathering process. Four artificial models were designed to select suitable metrics among over 20 parameters. To validate the efficiency of image analysis, we analyzed rocks from badlands in Nanxiong Basin, Southeast China, under three different ranges of temperature differences (TD) during cyclic wetting and drying (WD). Our results show that TDs can accelerate the disintegration rate, and even if there is only a 20°C difference in the range of TDs, an apparent difference in fragment size was observed. Moreover, the shape of fragments became more round as the increasing number of cyclic treatments, and for samples that went through the same number of treatments, the larger the temperature difference, the more round the shape became. All that serves as another evidence for landscape evolution response to climatic warming.", publisher = "Springer", journal = "Journal of Mountain Science", title = "Effect of temperature on mudstone disintegration process revealed with image analysis", volume = "19", number = "7", pages = "2126-2135", doi = "10.1007/s11629-021-7268-3" }
Yan, L., Petrović, S., Huang, C., Xie, C., Zong, H.,& Kašanin-Grubin, M.. (2022). Effect of temperature on mudstone disintegration process revealed with image analysis. in Journal of Mountain Science Springer., 19(7), 2126-2135. https://doi.org/10.1007/s11629-021-7268-3
Yan L, Petrović S, Huang C, Xie C, Zong H, Kašanin-Grubin M. Effect of temperature on mudstone disintegration process revealed with image analysis. in Journal of Mountain Science. 2022;19(7):2126-2135. doi:10.1007/s11629-021-7268-3 .
Yan, Luo-bin, Petrović, Srdjan, Huang, Cheng, Xie, Chun-xia, Zong, Hui-ming, Kašanin-Grubin, Milica, "Effect of temperature on mudstone disintegration process revealed with image analysis" in Journal of Mountain Science, 19, no. 7 (2022):2126-2135, https://doi.org/10.1007/s11629-021-7268-3 . .