A5063584306- Climate variability and models
- Hydrology and Watershed Management Studies
- Groundwater and Isotope Geochemistry
- Plant Water Relations and Carbon Dynamics
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Hydrology and Drought Analysis
- Advanced Mathematical Modeling in Engineering
- Geology and Paleoclimatology Research
- Advanced Numerical Methods in Computational Mathematics
- Cryospheric studies and observations
- Composite Material Mechanics
- Flood Risk Assessment and Management
- Isotope Analysis in Ecology
- Tree-ring climate responses
- Soil Moisture and Remote Sensing
- Probabilistic and Robust Engineering Design
- Environmental and Agricultural Sciences
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Irrigation Practices and Water Management
- Geophysics and Gravity Measurements
- Water Resources and Management
- Spatial and Panel Data Analysis
- Geotourism and Geoheritage Conservation
Hunan Normal University
2016-2025
Changsha Normal University
2016-2025
Beijing Institute of Big Data Research
2018
Flinders University
2013
National Centre for Groundwater Research and Training
2013
China Agricultural University
2005-2006
[1] Climatic teleconnections are often used to interpret and sometimes predict precipitation temporal variability at various time scales. However, the intertwined between effects of multiple large-scale climate signals which interdependent. Each signal is composed multitemporal components, may result in different teleconnection patterns. The lags response vary with their components. In order effectively address these problems, a multiresolution analysis (MRA) discrete wavelet transform...
ABSTRACT In this article, a rainfall forecasting model using monthly historical data and climate indices is developed by incorporating the multi‐resolution analysis ( MRA ) multiple linear regression MLR model. The anomaly large‐scale index time series are decomposed into certain number of component subseries at different temporal scales. hierarchical lag relationship between each potential predictor identified cross correlation with least one month components variables known times then...
The study on precipitation isotope variation can potentially improve the understanding of weather processes, regional water cycle and paleoclimate reconstruction in subtropical monsoon region. Based measured stable composition (δ18Op) daily from January 2010 to December 2021 Changsha region eastern China, δ18Op variations, amount effect local meteoric line (LMWL) were analyzed compared daily, monthly annual time scales, as well under different intensities. results showed that, scale, was...
From 2017 to 2019, xylem and leaf samples of Cinnamomum camphora were sampled soil water at 0–100 cm depth 65 times simultaneously in a typical East Asian monsoon region. The seasonal origin plant from precipitation was inferred based on the stable isotope techniques, including evaporation line slope (SEL) estimations index (SOI) calculation. regression SEL close theoretical SELs estimated Craig–Gordon model, but showed higher than SELs, this may be due seasonality isotopes evaporative...
Abstract The stable oxygen isotope composition of precipitation (δ 18 O p ) in southern China is considered as a valuable proxy climatic conditions. However, their interpretations have been controversial. In this study, based on the observed and simulated data (isoGSM2) precipitation, linkage between summer ( P δ Dongting Lake basin possible influencing factors were investigated. results indicate that interannual variation consistent with annual . They both show significantly negative...
Abstract Convective/advective precipitation partitions refer to the divisions of that are either convective or advective in nature, relative total amount. These distinct can have a significant influence on stable isotope composition precipitation. This study analyzed and compared effect δ 18 O ( p ) by using daily data from Changsha station monthly Global Network Isotopes Precipitation (GNIP), under different time scales, intervals (i.e., annual, warm season, cold season), intensities. The...
Analyzing spatiotemporal associations between different types of geographical flows across multiple scales is crucial for understanding the dynamic relationships them. However, few association analysis methods exist flows. Moreover, this also faces challenge that patterns at larger are biased by cumulative effects from smaller if a series spatial and temporal thresholds used. Furthermore, spurious results arise joint population distribution pattern not considered. To address these problems,...
The spatiotemporal variations of seasonal precipitation extremes during 1963–2013 over China and the possible teleconnections with large‐scale ocean–atmosphere indices are investigated by using rotated empirical orthogonal functions, cross‐correlation analysis stepwise variable selection methods. Results show that northwest experiences most frequent dry events but exhibits a wetting tendency in all seasons, while south central China, extreme wet conditions remarkable seasons except for...
Abstract In this study, a hybrid least squares support vector machine (HLSSVM) model is presented for effectively forecasting monthly precipitation. The method designed by incorporating the empirical mode decomposition (EMD) data preprocessing, partial information (PI) algorithm input identification, and differential evolution (DE) parameter optimization into (LSSVM). HLSSVM examined precipitation at 138 rain gauge stations in Yangtze River basin compared with LSSVM LSSVM–DE. LSSVM–DE built...
In this paper we present a numerical method, the finite volume multiscale element method (FVMSFEM), for solving groundwater flow problems in heterogeneous porous media spanning over many scales. This is based on an efficient coupling between discretization and base functions. It can efficiently capture large‐scale structure of solution coarse grid without resolving all small‐scale features locally conservative. The underlying idea to estimate macroscopic fluxes across control interface...
Abstract Plant transpiration depends on environmental conditions, and soil water availability is its primary control under deficit conditions. In this study, we improve a simplified process‐based model (hereafter “BTA”) by including potential ( ψ ) to explicitly represent the dependence of plant root‐zone moisture The improved denoted as BTA‐ψ model. We assessed performance BTA models in subtropical monsoon climate Mediterranean with different levels stress. performed reasonably estimating...