A5011999583- Cryospheric studies and observations
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Landslides and related hazards
- Arctic and Antarctic ice dynamics
- Environmental and Agricultural Sciences
- Climate variability and models
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Coastal wetland ecosystem dynamics
- Hydrology and Sediment Transport Processes
- Remote Sensing in Agriculture
- Soil erosion and sediment transport
- Geological and Geophysical Studies
- Hydrological Forecasting Using AI
- Land Use and Ecosystem Services
- Environmental Changes in China
- Karst Systems and Hydrogeology
- Tree-ring climate responses
- Plant Water Relations and Carbon Dynamics
Institute of Tibetan Plateau Research
2021-2025
University of Chinese Academy of Sciences
2023-2025
Chinese Academy of Sciences
2021-2024
China University of Geosciences (Beijing)
2021
Abstract Climate warming has been driving hydrological changes across the globe, especially in high latitude and altitude regions. Long-term (1962–2012) streamflow records permafrost data Yangtze River source region were selected to analyze variations groundwater storage response climate warming. Results of Mann–Kendall test Morlet wavelet analysis show that anomalies both annual winter baseflow are near year 2010, their main period scales 37 years 34 years, respectively. The increased...
Abstract Central Asia is the world’s largest azonal arid region, with strong seasonal precipitation patterns. Vegetation in this region relatively sparse and extremely sensitive to climatic changes. However, long-term trends vegetation are still unclear or even controversially recognized, hindering assessment of climate change’s impact on regional sustainability. Here, we present longest time series index investigated its response seasonality from 1982 2022 by integrating normalized...
Our understanding of permafrost distribution is still limited, particularly in mountainous areas where highly heterogeneous environments and a lack reliable field data tend to prevail. The extensive rock glaciers the Qilian Mountains, located northeastern Tibetan Plateau, offers opportunity develop novel approach for mapping regions. In this study, total 1,530 glacier records were combined with situ drive machine learning models estimating presence. Three algorithms adopted, their accuracies...
ABSTRACT As a key component of the cryosphere, permafrost is sensitive to climate change, but mapping permafrost, especially in Tibetan Plateau, has been challenging due heterogeneous mountainous landscape and limited representativeness ground observations. Using 155 compiled observations more than 20,000 rock glacier records, we developed machine learning model map distribution produce an improved zonation index (PZI) map. The was applied by incorporating several control variables,...
Rock glaciers represent typical periglacial landscapes and are distributed widely in alpine mountain environments. glacier activity represents a critical indicator of water reserves state, permafrost distribution, landslide disaster susceptibility. The dynamics rock environments poorly quantified, especially the central Himalayas. Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) has been shown to be useful technique for deformation detection. In this study, we developed...
Rock glaciers are typical periglacial landforms with tongue or lobate morphological shapes and characterized by the distinct front, lateral margins, often ridge-and-furrow surface topography textures as well kinematic characteristics, widely distributed in alpine environments. Multitemporal Synthetic aperture radar interferometry (MT-InSAR), is a remote sensing technique demonstrated effectiveness for detecting landform kinematics. However, its application to rock challenged temporal...
In cold mountain environments, rock glaciers and talus represent common periglacial landforms. Accurate monitoring of their activity is crucial for understanding alpine kinematics. Presently, spaceborne SAR satellites monitor landform deformations mainly utilizing medium-resolution data. However, capturing surface structure accurately comprehending the movement mechanisms remain challenging. This study employs high-resolution GF-7 optical stereo images Radarsat-2 data, introducing a...
Alpine lakes, which include glacial and nonglacial are widely distributed in high mountain areas sensitive to climate environmental changes. Remote sensing is an effective tool for identifying alpine lakes over large regions, but the case of small complex terrain extreme weather make their accurate identification extremely challenging. This paper presents automated method lake developed by leveraging deep learning algorithms multi-source high-resolution satellite data. The able detect...
Due to climate change, drought has caused serious impacts on the eco-environment, hydrology and agriculture, events in Qinghai-Tibet Plateau (QTP) have become more severer frequent; therefore, understanding characteristics variations of is crucial reduce its eco-environmental socio-economic impacts. This study used Standardized Precipitation Evapotranspiration Index (SPEI) identify assessed interannual changes from 1980 2020. Then, Hurst exponent intensity analysis were future trend...
Alpine wetlands are one of the most important ecosystems in Three Rivers Source Area, China, which plays an role regulating regional hydrological cycle and carbon cycle. Accordingly, Wetland area its distribution great significance for wetland management scientific research. In our study, a new classification model based on geomorphological types combine object-oriented decision tree (ODTC), used system to accurately extract distributed Headwater Area Yellow River (HAYR) Qinghai-Tibet...
Alpine lakes located in high-altitude mountainous regions act as vital sentinels of environmental change. Remote-sensing-based identification these is crucial for understanding their response to climate variations and assessing associated disaster risks. However, the complex terrain weather conditions areas pose significant challenges accurate detection. This paper proposes a method that leverages high precision deep learning small lake boundary extraction combined with eliminate noise...
Permafrost is a key component of the cryosphere, which plays significant roles in surface energy, hydrological, and biogeochemical processes. Moreover, permafrost, sensitive indicator climate change, has experienced widespread degradation recent decades. The Tibetan Plateau, hosting largest mid-low latitude permafrost area, particularly susceptible to these changes, warranting deeper understanding distribution environmental interactions. However, mapping traditionally relies on empirical...