- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Groundwater flow and contamination studies
- Fractional Differential Equations Solutions
- Iterative Methods for Nonlinear Equations
- Mathematical and Theoretical Analysis
- Soil erosion and sediment transport
- Tropical and Extratropical Cyclones Research
- Plant Water Relations and Carbon Dynamics
- Water resources management and optimization
- Animal Vocal Communication and Behavior
- Noise Effects and Management
- Chaos control and synchronization
- Theoretical and Computational Physics
- Ecosystem dynamics and resilience
- Soil and Unsaturated Flow
- Complex Systems and Time Series Analysis
- Geology and Paleoclimatology Research
- Cryospheric studies and observations
- Landslides and related hazards
- Oceanographic and Atmospheric Processes
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2021-2025
Nanchang University
2024
Sun Yat-sen University
2021-2024
University of California, Davis
2015-2020
University of California, Berkeley
2019-2020
Hydrologic Research Center
2017
Abstract Sensitivity of ecosystem productivity to climate variability is a critical component resilience change. Variation in sensitivity influenced by many variables. Here we investigate the effect bedrock lithology and weathering products on variation water deficit using Bayesian statistical models. Two thirds terrestrial ecosystems exhibit negative sensitivity, where decreases with increased deficit, while other third positive sensitivity. significantly affected regolith porosity...
Abstract. Binary forecasts on hydroclimatic extremes play a critical part in disaster prevention and risk management. While the recent WeatherBench 2 provides versatile framework for verification of deterministic ensemble forecasts, this paper presents an extension to binary occurrence versus non-occurrence extremes. Specifically, sixteen metrics accuracy discrimination are employed scorecards generated showcase predictive performance. A case study is devised wet warm obtained from both by...
While global streamflow reanalysis provides valuable information for environmental modelling and management, it is not yet known how effective they are in characterizing the local flow regime. This paper presents a novel evaluation of potential regime analysis by accounting effects reservoir operation. Specifically, indicators hydrologic alteration (IHA) used to characterize five components both inflow outflow; performance raw evaluated furthermore corrected using quantile mapping improved...
Abstract Vegetation resistance and resilience to drought are linked the stability of terrestrial ecosystems under climate change. However, factors driving spatial heterogeneity in remain poorly understood. In study, we utilized multiple satellite-derived vegetation indices calculate analyze changes across various biomes worldwide. Results indicated that showed a significant increase with water availability, but no relationship was observed between energy. contrast, exhibited an energy rather...
Kuma River Watershed in Japan. High-quality precipitation information is desirable hydrological modeling and water resources management. This study aimed to generate long-term fine-resolution datasets over the region. A hybrid downscaling framework that integrates a dynamical approach by Weather Research Forecasting (WRF) model deep learning Convolutional Neural Network (CNN) was proposed derive at fine resolutions from ERA-Interim datasets. The then applied coastal watershed merit of...
Abstract Despite its far-reaching implications for conservation and natural resource management, little is known about the color of environmental noise, or structure temporal autocorrelation in random variation, streams rivers. Here, we analyze geography, drivers, timescale-dependence noise streamflow across U.S. hydrography, using time series from 7504 gages. We find that daily annual flows are dominated by red white spectra respectively, spatial variation explained a combination...
Abstract. Groundwater closely interacts with surface water and even climate systems in most hydroclimatic settings. Fractal scaling analysis of groundwater dynamics is significance modeling hydrological processes by considering potential temporal long-range dependence crossovers the level fluctuations. In this study, it demonstrated that fluctuations confined aquifer wells long observations exhibit site-specific fractal behavior. Detrended fluctuation (DFA) was utilized to quantify...
Abstract. Using fractional calculus, a dimensionally consistent governing equation of transient, saturated groundwater flow in time multi-fractional confined aquifer is developed. First, continuity for transient and multi-fractional, multidimensional For the water flux within aquifer, also The then obtained by combining equations. To illustrate capability proposed numerical application to problem was performed.
Abstract In order to model non‐Fickian transport behaviour in groundwater aquifers, various forms of the time–space fractional advection–dispersion equation have been developed and used by several researchers last decade. The solute aquifers takes place means an underlying flow field. However, governing equations for such are yet be a comprehensive framework. this study, finite difference numerical scheme based on Caputo derivative is proposed investigate properties newly transient confined...
The Cache Creek Settling Basin (CCSB) is a 14.5 square-kilometer sediment retention basin designed to trap and reduce loads into the Yolo Bypass. basin, 13-kilometer stretch of leveed creek from United States Geological Survey (USGS) at gauge (11452500) upstream boundary were engineered safely conduct flows up 850 cubic meters per second with approximately 1-meter freeboard. sole purpose retain protect floodway capacity As CCSB functions by spreading incoming flow over heterogeneous terrain,...