A5000108862- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Climate variability and models
- Hydrology and Drought Analysis
- Water resources management and optimization
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Geophysics and Gravity Measurements
- Plant Water Relations and Carbon Dynamics
- Environmental and Agricultural Sciences
- GNSS positioning and interference
- Soil erosion and sediment transport
- Hydrology and Sediment Transport Processes
- Water-Energy-Food Nexus Studies
- Water Systems and Optimization
- Land Use and Ecosystem Services
- Reservoir Engineering and Simulation Methods
- Soil and Unsaturated Flow
- Climate change impacts on agriculture
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Water Resources and Sustainability
- Computational Physics and Python Applications
Nanjing Normal University
2025
Zhejiang University
2016-2025
Hebei Science and Technology Department
2025
Nantong University
2025
ZheJiang Academy of Agricultural Sciences
2025
Soochow University
2025
Xidian University
2025
Wenzhou Medical University
2017-2024
Zhejiang University of Water Resource and Electric Power
2024
Central China Normal University
2024
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Plus (ETM+) data. classified over 6600 scenes of TM data after 2006, 2300 ETM+ before all selected from green season. These images cover most world's land surface except Antarctica Greenland. Most these came United States Geological Survey in level L1T (orthorectified). Four classifiers that were freely available employed, including conventional maximum likelihood classifier...
Abstract Baseflow plays a vital role in protecting the environment and ensuring stable water supply for farming. There are still gaps current understanding of baseflow convergence rates humid region due to abundance rainfall high‐water table. Therefore, this study focused on evolution hysteresis characteristics basins southeastern China. The ensemble simulation (BES) method was established improve reliability applicability simulation. We suggest way differentiating wet dry seasons based...
Subcolloidal (<0.1 μm) iron−silver (1% Ag) particles were synthesized for the transformation of chlorinated benzenes in aqueous solution. Hexachlorobenzene (HCB) (4 mg/L) was dechlorinated to tetra-, tri-, and dichlorobenzenes (TeCB, TCB, DCB, respectively) within 24 h at a metal loading 25 g/L. Principal degradation products included 1,2,4,5-TeCB, 1,2,4-TCB, 1,4-DCB. Continuous dechlorination observed during 57-day experiment. The rate positively correlated silver bimetallic particles. also...
Since the launch of first land-observation satellite (Landsat-1) in 1972, land-cover mapping has accumulated a wide range knowledge peer-reviewed literature. However, this never been comprehensively analysed for new discoveries. Here, we developed spatialized database scientific literature English about mapping. Using database, tried to identify spatial temporal patterns and hotspots research around world. Among other findings, observed (1) significant mismatch between hotspot areas that are...
Abstract Satellite‐based and reanalysis quantitative precipitation estimates are attractive for hydrologic prediction or forecasting reliable water resources management, especially ungauged regions. This study evaluates three widely used global high‐resolution products [Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks‐Climate Data Record (PERSIANN‐CDR), Tropical Rainfall Measuring Mission 3B42 Version 7 (TRMM 3B42V7), National Centers Environment...
This study applied a GR4J model in the Xiangjiang and Qujiang River basins for rainfall-runoff simulation. Four recurrent neural networks (RNNs)—the Elman network (ERNN), echo state (ESN), nonlinear autoregressive exogenous inputs (NARX), long short-term memory (LSTM) network—were predicting discharges. The performances of models were compared assessed, best two RNNs selected integrated with lumped hydrological to forecast discharges; meanwhile, uncertainties simulated discharges estimated....
Abstract Most intensive human activities occur in lowlands. However, sporadic reports indicate that are expanding some Asian highlands. Here we investigate the expansions of highlands and their effects over Asia from 2000 to 2020 by combining earth observation data socioeconomic data. We find ∼23% activity ∼76% these comes ecological lands, reaching 95% Southeast Asia. The intensify habitat fragmentation result large costs low lower-middle income countries, they also support developments....
Rivers originating in the Tibetan Plateau are crucial to population Asia. However, research about quantifying seasonal catchment memory of these rivers is still limited. Here, we propose a model able accurately estimate terrestrial water storage change (TWSC), and characterize processes durations using curve influence/domination time, respectively. By investigating eight representative basins region, find that precipitation-dominated mainly controlled by precipitation,...
The Upper Mekong River Basin (UMRB), Southwest China. With climate change unfolding and knowledge evolving over time, it is imperative to investigate whether the latest CMIP6 models offer enhanced utility in impact studies compared their predecessors. This study strengthens comparison between CMIP5 assessing hydrological responses future change. was achieved utilizing Soil Water Assessment Tool, driven by downscaled CMIP5/CMIP6 model outputs under RCP8.5/SSP5–8.5. Both streamflow sediment...
Abstract Informing reservoirs with forecasts is highly important for real‐time flood control. This study proposed a forecast‐informed methodology framework reservoir control operation under uncertainty. A new combination of two post‐processing methods, that is, the Cloud model and error‐based copula functions, were developed to merge individual AI‐based ensemble forecasts, so called stochastic errors‐based (SE‐Cloud). multi‐objective robust optimization (MRO) integrating risk, resilience,...
Abstract. There is evidence that climate change and human activities are changing ecohydrological systems, yet the complex relationships among ecological (normalized difference vegetation index, gross primary productivity, water use efficiency) hydrological variables (runoff, soil storage, groundwater etc.) remain understudied. This study develops a novel framework based on network analysis alongside satellite data in situ observations to delineate joint evolutions (phenomena) causal...
Abstract Snow and glacier are important components in the hydrological cycle of Tibetan Plateau (TP). Air temperature, as main driver freezing thawing processes, becomes vital for modelling prediction this region. Due to a sparse ground gauging network, spatial density air temperature measurement is insufficient hydro‐meteorological studies. Therefore, aim study identify best representative data applications from four widely used reanalysis products, including ERA‐Interim, ERA‐5, GLDAS‐2.1...