TY  - JOUR
AU  - Yan, Luo-bin
AU  - Petrović, Srđan
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/123456789/5475
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 Nature
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, Srđan 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 Nature",
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 Nature., 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, Srđan, 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 . .

TY  - 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 . .