A5101746860- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Hydrology and Sediment Transport Processes
- Water Quality and Pollution Assessment
- Hydrology and Drought Analysis
- Soil erosion and sediment transport
- Soil and Water Nutrient Dynamics
- Land Use and Ecosystem Services
- Environmental Changes in China
- Water resources management and optimization
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Cryospheric studies and observations
- Remote Sensing in Agriculture
- Soil and Unsaturated Flow
- Aquatic Ecosystems and Phytoplankton Dynamics
- Water Resources and Sustainability
- Environmental Quality and Pollution
- Fish Ecology and Management Studies
- Meteorological Phenomena and Simulations
- Pharmaceutical and Antibiotic Environmental Impacts
- Wildlife-Road Interactions and Conservation
Beijing Normal University
2016-2025
Huazhong University of Science and Technology
2025
Wuhan Puai Hospital
2025
Guangxi Normal University
2022
China Institute of Water Resources and Hydropower Research
2018
Wuhan Polytechnic University
2016
University of Yamanashi
2011
Takeda (Japan)
2011
Abstract Climate warming is substantially shifting the leaf phenological events of plants, and thereby impacting on their individual fitness also structure functioning ecosystems. Previous studies have largely focused climate impact spring phenology, to date processes underlying senescence associated environmental drivers remain poorly understood. In this study, experiments with temperature gradients imposed during summer autumn were conducted saplings European beech explore responses...
Antimicrobial resistance has been a global public health concern. The river-lake systems are one of the tightly connected terrestrial ecosystems and, appear to be reservoirs antibiotic resistant genes (ARGs) and dispersal routes pathogens because they easily impacted by human activities. Currently, systematic knowledge on prevalence, transfer risk source ARGs in is largely lacking. In this study, we focused high-throughput profiling source-sink relationship disentangling sediments an...
Abstract Afforestation to control soil erosion has been implemented throughout China over the past few decades. The long‐term hydrological effects, such as total water yield and baseflow, of this large‐scale anthropogenic activity remain unclear. Using six decades hydrologic observations remote sensing data, we explore responses forest expansion in four basins with contrasting climates across China. No significant change runoff was found for period 1970–2012 cold dry Hailar River Basin...
ABSTRACT This paper proposes a new orientation to address the problem of hydrological model calibration in ungauged basin. Satellite radar altimetric observations river water level at basin outlet are used calibrate model, as surrogate streamflow data. To shift objective, is coupled with hydraulic describing relation between and stage. The methodology illustrated by case study Upper Mississippi Basin using TOPEX/Poseidon (T/P) satellite generalized likelihood uncertainty estimation (GLUE)...
Lacking observation data for calibration constrains applications of hydrological models to estimate daily time series streamflow. Recent improvements in remote sensing enable detection river water-surface width from satellite observations, making possible the tracking streamflow space. In this study, a method calibrating using derived is demonstrated through application ungauged Irrawaddy Basin Myanmar. Generalized likelihood uncertainty estimation (GLUE) selected as tool automatic and...
Abstract. Physically based distributed hydrological models are widely used for simulations in various environments. As with conceptual models, they limited data-sparse basins by the lack of streamflow data calibration. Short periods observational (less than 1 year) may be obtained from fragmentary historical records previously existing gauging stations or temporary during field surveys, which might value model However, unlike lumped such an approach has not been explored sufficiently...
Abstract Landscape heterogeneity is a comprehensive reflection of spatial patch and gradient, which an important feature landscape pattern. The China land use/cover dataset (CLUD) with 1 km resolution was used in this study to investigate the dynamic changes Yarlung Tsangpo River basin (YTRB) from 1980 2015 through use transition matrix degrees. semi‐variogram model area constructed at different scales determine characteristic scale YTRB. traditional index method moving window were watershed...
Abstract Many researchers have studied the influence of rainfall patterns on soil water movement processes using simulation experiments. However, less attention has been paid to under natural condition. In this paper, rainfall, content (SWC), and temperature at 10‐, 20‐, 30‐, 40‐, 50‐cm depths were simultaneously monitored 1‐min intervals measure variation in SWC (SWCv) response different patterns. First, we classified events into four During study period, main pattern was advanced (38% all...
Hydrological connectivity is an important characteristic of wetlands that maintains the stability and functions ecosystem. This study investigates temporal variations hydrological their driving mechanism in Baiyangdian Lake, a large shallow wetland North China, using time series open water surface area data derived from 36 Landsat 8 multispectral images 2013–2019 situ measured level data. Water classification was implemented Google Earth Engine. Six commonly used indexes for extracting...
Satellite and reanalysis-based precipitation products have played a crucial role in addressing the challenges associated with limited ground-based observational data. These are widely utilized hydrometeorological research, particularly data-scarce regions like Qinghai–Tibetan Plateau (QTP). This study proposed an ensemble streamflow simulation method using remote sensing data as input. By employing 1D Convolutional Neural Networks (1D CNN), simulations from multiple models integrated Shapley...