Peng, Hua

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  • Peng, Hua (3)
Projects

Author's Bibliography

Laboratory study of the effect of temperature difference on the disintegration of redbed softrock

Yan, Luobin; Liu, Pan; Peng, Hua; Kašanin-Grubin, Milica; Lin, Kairong

(Taylor and Francis, 2019)

TY  - JOUR
AU  - Yan, Luobin
AU  - Liu, Pan
AU  - Peng, Hua
AU  - Kašanin-Grubin, Milica
AU  - Lin, Kairong
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2642
AB  - To explore the impact of temperature difference (TD) on the disintegration of redbed softrock, three types of redbed rock, collected from Nanxiong Basin, were analyzed under three different treatments: TD, wetting and drying (WD), and TDWD-temperature difference and WD. To better understand the influence of different ranges of TD on disintegration during WD cycles, pH (hydrogen ion concentration) values, electrical conductivity (EC) values, and concentration of cations in leachate released during treatment were measured. The results show that no significant change can be observed under single TD treatment but that TD can increase the disintegration rate by accelerating the water–rock interaction. The effect of TD is more significant for rock with weak resistance to disintegration.
PB  - Taylor and Francis
T2  - Physical Geography
T2  - Physical Geography
T1  - Laboratory study of the effect of temperature difference on the disintegration of redbed softrock
VL  - 40
IS  - 2
SP  - 149
EP  - 163
DO  - 10.1080/02723646.2018.1559418
ER  - 
@article{
author = "Yan, Luobin and Liu, Pan and Peng, Hua and Kašanin-Grubin, Milica and Lin, Kairong",
year = "2019",
abstract = "To explore the impact of temperature difference (TD) on the disintegration of redbed softrock, three types of redbed rock, collected from Nanxiong Basin, were analyzed under three different treatments: TD, wetting and drying (WD), and TDWD-temperature difference and WD. To better understand the influence of different ranges of TD on disintegration during WD cycles, pH (hydrogen ion concentration) values, electrical conductivity (EC) values, and concentration of cations in leachate released during treatment were measured. The results show that no significant change can be observed under single TD treatment but that TD can increase the disintegration rate by accelerating the water–rock interaction. The effect of TD is more significant for rock with weak resistance to disintegration.",
publisher = "Taylor and Francis",
journal = "Physical Geography, Physical Geography",
title = "Laboratory study of the effect of temperature difference on the disintegration of redbed softrock",
volume = "40",
number = "2",
pages = "149-163",
doi = "10.1080/02723646.2018.1559418"
}
Yan, L., Liu, P., Peng, H., Kašanin-Grubin, M.,& Lin, K.. (2019). Laboratory study of the effect of temperature difference on the disintegration of redbed softrock. in Physical Geography
Taylor and Francis., 40(2), 149-163.
https://doi.org/10.1080/02723646.2018.1559418
Yan L, Liu P, Peng H, Kašanin-Grubin M, Lin K. Laboratory study of the effect of temperature difference on the disintegration of redbed softrock. in Physical Geography. 2019;40(2):149-163.
doi:10.1080/02723646.2018.1559418 .
Yan, Luobin, Liu, Pan, Peng, Hua, Kašanin-Grubin, Milica, Lin, Kairong, "Laboratory study of the effect of temperature difference on the disintegration of redbed softrock" in Physical Geography, 40, no. 2 (2019):149-163,
https://doi.org/10.1080/02723646.2018.1559418 . .
22
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22

The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China

Yan, Luobin; Peng, Hua; Zhang, Shaoyun; Zhang, Ruoxi; Kašanin-Grubin, Milica; Lin, Kairong; Tu, Xinjun

(Springer Nature Publishing AG, 2019)

TY  - JOUR
AU  - Yan, Luobin
AU  - Peng, Hua
AU  - Zhang, Shaoyun
AU  - Zhang, Ruoxi
AU  - Kašanin-Grubin, Milica
AU  - Lin, Kairong
AU  - Tu, Xinjun
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2870
AB  - This research examined the distribution features of red beds and 1,100 Danxia landform sites across
China, while probing the relationship between these spatial patterns and geological elements. This
study is based on geological and tectonic maps of China. ArcGIS software was used to process the
adjacent index, then perform a spatial analysis of Danxia landforms and red beds, and a coupling
analysis of Danxia landforms and red beds with tectonics. Based on a point pattern analysis of Danxia
landforms, the adjacent index is 0.31, and the coefficient of variation verified by Thiessen polygon
reaches 449%. These figures reflect the clustered distribution pattern of the Danxia landforms. Across
the country, Danxia landforms are concentrated into three areas, namely, the Southeast China region,
the Sichuan Basin region and the Qilian-Liupan region. The exposure of red beds covers 9.16 × 105 km2,
which accounts for 9.5% of the total land area of China. With this research background, the geological
elements of tectonics and their effects on the distribution, number, and spatial pattern of Danxia
landforms and red beds were analyzed.
PB  - Springer Nature Publishing AG
T2  - Scientific Reports
T1  - The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China
VL  - 9
IS  - 1
SP  - 1961
DO  - 10.1038/s41598-018-37238-7
ER  - 
@article{
author = "Yan, Luobin and Peng, Hua and Zhang, Shaoyun and Zhang, Ruoxi and Kašanin-Grubin, Milica and Lin, Kairong and Tu, Xinjun",
year = "2019",
abstract = "This research examined the distribution features of red beds and 1,100 Danxia landform sites across
China, while probing the relationship between these spatial patterns and geological elements. This
study is based on geological and tectonic maps of China. ArcGIS software was used to process the
adjacent index, then perform a spatial analysis of Danxia landforms and red beds, and a coupling
analysis of Danxia landforms and red beds with tectonics. Based on a point pattern analysis of Danxia
landforms, the adjacent index is 0.31, and the coefficient of variation verified by Thiessen polygon
reaches 449%. These figures reflect the clustered distribution pattern of the Danxia landforms. Across
the country, Danxia landforms are concentrated into three areas, namely, the Southeast China region,
the Sichuan Basin region and the Qilian-Liupan region. The exposure of red beds covers 9.16 × 105 km2,
which accounts for 9.5% of the total land area of China. With this research background, the geological
elements of tectonics and their effects on the distribution, number, and spatial pattern of Danxia
landforms and red beds were analyzed.",
publisher = "Springer Nature Publishing AG",
journal = "Scientific Reports",
title = "The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China",
volume = "9",
number = "1",
pages = "1961",
doi = "10.1038/s41598-018-37238-7"
}
Yan, L., Peng, H., Zhang, S., Zhang, R., Kašanin-Grubin, M., Lin, K.,& Tu, X.. (2019). The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China. in Scientific Reports
Springer Nature Publishing AG., 9(1), 1961.
https://doi.org/10.1038/s41598-018-37238-7
Yan L, Peng H, Zhang S, Zhang R, Kašanin-Grubin M, Lin K, Tu X. The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China. in Scientific Reports. 2019;9(1):1961.
doi:10.1038/s41598-018-37238-7 .
Yan, Luobin, Peng, Hua, Zhang, Shaoyun, Zhang, Ruoxi, Kašanin-Grubin, Milica, Lin, Kairong, Tu, Xinjun, "The Spatial Patterns of Red Beds and Danxia Landforms: Implication for the formation factors–China" in Scientific Reports, 9, no. 1 (2019):1961,
https://doi.org/10.1038/s41598-018-37238-7 . .
1
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5
31

The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China

Yan, Luobin; He, Ruixiang; Kašanin-Grubin, Milica; Luo, Gusong; Peng, Hua; Qiu, Jianxiu

(MDPI, 2017)

TY  - JOUR
AU  - Yan, Luobin
AU  - He, Ruixiang
AU  - Kašanin-Grubin, Milica
AU  - Luo, Gusong
AU  - Peng, Hua
AU  - Qiu, Jianxiu
PY  - 2017
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2224
AB  - Natural climate change and human activities are the main driving forces associated with vegetation coverage change. Nanxiong Basin is a key ecosystem-service area at the national level with a dense population and highly representative of red-bed basins, which are considered as fragile ecological units in humid regions. In this study, the authors aimed to determine the trends in vegetation cover change over past two decades and the associated driving forces in this study area. The Normalized Difference Vegetation Index (NDVI) of 2000-2015, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing dataset along with the application of statistical methods and GIS (geographic information system) techniques were used to quantify vegetation cover change. The results show that human-induced factors can explain most variations at sites with significant cover change. That is to say that human activities are the main drivers of vegetation dynamics in this study area, which shows a significant reduction trend in vegetation cover during the industrialization and urbanization processes of the study period and noticeable recovery trend in 2000-2015 under the plantation and enclosed forest policy.
PB  - MDPI
T2  - Sustainability
T1  - The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China
VL  - 9
IS  - 3
DO  - 10.3390/su9030443
ER  - 
@article{
author = "Yan, Luobin and He, Ruixiang and Kašanin-Grubin, Milica and Luo, Gusong and Peng, Hua and Qiu, Jianxiu",
year = "2017",
abstract = "Natural climate change and human activities are the main driving forces associated with vegetation coverage change. Nanxiong Basin is a key ecosystem-service area at the national level with a dense population and highly representative of red-bed basins, which are considered as fragile ecological units in humid regions. In this study, the authors aimed to determine the trends in vegetation cover change over past two decades and the associated driving forces in this study area. The Normalized Difference Vegetation Index (NDVI) of 2000-2015, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing dataset along with the application of statistical methods and GIS (geographic information system) techniques were used to quantify vegetation cover change. The results show that human-induced factors can explain most variations at sites with significant cover change. That is to say that human activities are the main drivers of vegetation dynamics in this study area, which shows a significant reduction trend in vegetation cover during the industrialization and urbanization processes of the study period and noticeable recovery trend in 2000-2015 under the plantation and enclosed forest policy.",
publisher = "MDPI",
journal = "Sustainability",
title = "The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China",
volume = "9",
number = "3",
doi = "10.3390/su9030443"
}
Yan, L., He, R., Kašanin-Grubin, M., Luo, G., Peng, H.,& Qiu, J.. (2017). The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China. in Sustainability
MDPI., 9(3).
https://doi.org/10.3390/su9030443
Yan L, He R, Kašanin-Grubin M, Luo G, Peng H, Qiu J. The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China. in Sustainability. 2017;9(3).
doi:10.3390/su9030443 .
Yan, Luobin, He, Ruixiang, Kašanin-Grubin, Milica, Luo, Gusong, Peng, Hua, Qiu, Jianxiu, "The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China" in Sustainability, 9, no. 3 (2017),
https://doi.org/10.3390/su9030443 . .
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