Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Minghao Liu is active.

Publication


Featured researches published by Minghao Liu.


Science of The Total Environment | 2017

Effects of local factors and climate on permafrost conditions and distribution in Beiluhe basin, Qinghai-Tibet Plateau, China

Guoan Yin; Fujun Niu; Zhanju Lin; Jing Luo; Minghao Liu

Beiluhe basin is underlain by warm and ice-rich permafrost, and covered by vegetation and soils characteristic of the Qinghai-Tibet Plateau. A field monitoring network was established to investigate permafrost conditions and to assess potential impacts of local factors and climate change. This paper describes the spatial variations in permafrost conditions from instrumented boreholes, controlling environmental factors, and recent thermal evolution of permafrost in the basin. The study area was divided into 10 ecotypes using satellite imagery based classification. The field investigations and cluster analysis of ground temperatures indicated that permafrost underlies most of the ground in swamp meadow, undisturbed alpine meadow, degrading alpine meadow, and desert alpine grassland, but is absent in other cover types. Permafrost-ecotope relations examined over a 2-year (2014-2016) period indicated that: (i) ground surface temperatures varied largely among ecotopes; (ii) annual mean ground temperatures ranged from -1.5 to 0°C in permafrost, indicating sensitive permafrost conditions; (iii) active-layer thicknesses ranged from 1.4m to 3.4m; (iv) ground ice content at the top of permafrost is high, but the active-layer soil is relatively dry. Long-term climate warming has driven thermal changes to permafrost, but ground surface characteristics and soil moisture content strongly influence the ground thermal state. These factors control local-scale spatial variations in permafrost conditions. The warm permafrost in the basin is commonly in thermal disequilibrium, and is sensitive to future climate change. Active-layer thicknesses have increased by at least 42cm and the mean annual ground temperatures have increased by up to 0.2°C in the past 10years over the basin. A permafrost distribution map was produced based on ecotypes, suggesting that permafrost underlies 64% of the study region.


Science China-earth Sciences | 2015

Long-term thermal regimes of the Qinghai-Tibet Railway embankments in plateau permafrost regions

Fujun Niu; Minghao Liu; Guodong Cheng; Zhanju Lin; Jing Luo; Guoan Yin

Ten years of ground temperature data (2003–2013) indicate that the long-term thermal regimes within embankments of the Qinghai-Tibet Railway (QTR) vary significantly with different embankment structures. Obvious asymmetries exist in the ground temperature fields within the traditional embankment (TE) and the crushed-rock basement embankment (CRBE). Measurements indicate that the TE and CRBE are not conducive to maintaining thermal stability. In contrast, the ground temperature fields of both the crushed-rock sloped embankment (CRSE) and the U-shaped crushed-rock embankment (UCRE) were symmetrical. However, the UCRE gave better thermal stability than the CRSE because slow warming of deep permafrost was observed under the CRSE. Therefore, the UCRE has the best long-term effect of decreasing ground temperature and improving the symmetry of the temperature field. More generally, it is concluded that construction using the cooling-roadbed principle meets the design requirements for long-term stability of the railway and for train transport speeds of 100 km h−1. However, temperature differences between the two shoulders, which exist in all embankments shoulders, may cause potential uneven settlement and might require maintenance.


Landslides | 2016

Thaw-induced slope failures and stability analyses in permafrost regions of the Qinghai-Tibet Plateau, China

Fujun Niu; Jing Luo; Zhanju Lin; Jianhong Fang; Minghao Liu

The distribution of permafrost-related slope failures along the Qinghai-Tibet Highway from Wuddaoliang to Fenghuoshan correlates with ice content, slope gradient, and ground temperature. Slope failures are of two types. (1) Retrogressive thaw slumps result from icy permafrost being exposed by either man-induced excavation or fluvial-thermal erosion and undercutting of basal slopes. (2) Active-layer-detachment failures are caused by thaw of icy permafrost at the active layer-permafrost interface. After initial failure, active-layer-detachment failures can lead to retrogressive thaw-slumping and localized surficial landslide. Common trigger mechanisms for failure include high summer air temperatures and heavy summer precipitation. A third possible trigger mechanism for slope failure is earthquake occurrence. A geotechnical slope stability analysis was undertaken for an active-layer-detachment failure that had progressed into a retrogressive thaw slump. A safety factor (Fs) of 1.24 for the natural slope was determined using in situ tested strength parameters. However, the slope would lose stability when either the groundwater level over the permafrost table exceeded 1.42xa0m or seismic acceleration reached, or exceeded, 0.03u2009g.


Remote Sensing | 2018

Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS

Fujun Niu; Guoan Yin; Jing Luo; Zhanju Lin; Minghao Liu

Permafrost distribution in the Qinghai-Tibet Engineering Corridor (QTEC) is of growing interest due to the increase in infrastructure development in this remote area. Empirical models of mountain permafrost distribution have been established based on field sampled data, as a tool for regional-scale assessments of its distribution. This kind of model approach has never been applied for a large portion of this engineering corridor. In the present study, this methodology is applied to map permafrost distribution throughout the QTEC. After spatial modelling of the mean annual air temperature distribution from MODIS-LST and DEM, using high-resolution satellite image to interpret land surface type, a permafrost probability index was obtained. The evaluation results indicate that the model has an acceptable performance. Conditions highly favorable to permafrost presence (≥70%) are predicted for 60.3% of the study area, declaring a discontinuous permafrost distribution in the QTEC. This map is useful for the infrastructure development along the QTEC. In the future, local ground-truth observations will be required to confirm permafrost presence in favorable areas and to monitor permafrost evolution under the influence of climate change.


Journal of Mountain Science | 2018

Variations in the northern permafrost boundary over the last four decades in the Xidatan region, Qinghai–Tibet Plateau

Jing Luo; Fujun Niu; Zhanju Lin; Minghao Liu; Guoan Yin

The distribution and variations of permafrost in the Xidatan region, the northern permafrost boundary of the Qinghai-Tibet Plateau, were examined and analyzed using ground penetrating radar (GPR), borehole drilling, and thermal monitoring data. Results from GPR profiles together with borehole verification indicate that the lowest elevation limit of permafrost occurrence is 4369 m above sea level in 2012. Compared to previous studies, the maximal rise of permafrost limit is 28 m from 1975 to 2012. The total area of permafrost in the study region has been decreased by 13.8%. One of the two previously existed permafrost islands has disappeared and second one has reduced by 76% in area during the past ~40 years. In addition, the ground temperature in the Xidatan region has increased from 2012 to 2016, with a mean warming rate of ~0.004°C a−1 and ~0.003°C a−1 at the depths of 6 and 15 m, respectively. The rising of permafrost limit in the Xidatan region is mainly due to global warming. However, some non-climatic factors such as hydrologic processes and anthropic disturbances have also induced permafrost degradation. If the air temperature continues to increase, the northern permafrost boundary in the Qinghai-Tibet Plateau may continue rising in the future.


Chinese Science Bulletin | 2015

Thermokarst lake changes between 1969 and 2010 in the Beilu River Basin, Qinghai–Tibet Plateau, China

Jing Luo; Fujun Niu; Zhanju Lin; Minghao Liu; Guoan Yin


Cold Regions Science and Technology | 2017

Soil moisture, ground temperatures, and deformation of a high-speed railway embankment in Northeast China

Fujun Niu; Anyuan Li; Jing Luo; Zhanju Lin; Guoan Yin; Minghao Liu; Hao Zheng; Hua Liu


Applied Thermal Engineering | 2017

Experimental investigation on the enhanced cooling performance of a new crushed-rock revetment embankment in warm permafrost regions

Minghao Liu; Fujun Niu; Wei Ma; Jianhong Fang; Zhanju Lin; Jing Luo


Applied Thermal Engineering | 2018

A novel refrigerant system to reduce refreezing time of cast-in-place pile foundation in permafrost regions

Yunhu Shang; Fujun Niu; Xuyang Wu; Minghao Liu


Geomorphology | 2017

Hydrochemistry and controlling mechanism of lakes in permafrost regions along the Qinghai-Tibet Engineering Corridor, China

Zeyong Gao; Zhanju Lin; Fujun Niu; Jing Luo; Minghao Liu; Guoan Yin

Collaboration


Dive into the Minghao Liu's collaboration.

Top Co-Authors

Avatar

Fujun Niu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jing Luo

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Zhanju Lin

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Guoan Yin

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Wei Ma

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yunhu Shang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jianhong Fang

Ontario Ministry of Transportation

View shared research outputs
Top Co-Authors

Avatar

Guodong Cheng

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Guoyu Li

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge