A5066350606- Hydrology and Watershed Management Studies
- Climate variability and models
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Water resources management and optimization
- Statistical Methods and Inference
- Plant Water Relations and Carbon Dynamics
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
- Financial Risk and Volatility Modeling
- Monetary Policy and Economic Impact
- Water-Energy-Food Nexus Studies
- Climate change impacts on agriculture
- Statistical Methods and Bayesian Inference
- Coastal and Marine Dynamics
- Hydrology and Sediment Transport Processes
- Oceanographic and Atmospheric Processes
- Environmental Changes in China
- Cryospheric studies and observations
- Environmental and Agricultural Sciences
- Water Quality Monitoring Technologies
- Land Use and Ecosystem Services
- Soil erosion and sediment transport
Sun Yat-sen University
2016-2025
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2019-2025
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2019-2025
Chengdu University
2025
Hubei University of Technology
2024
Yale University
2008-2024
Gansu Agricultural University
2024
Hunan University of Technology
2024
Fujian Normal University
2024
Southwest University of Science and Technology
2024
This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by need for stronger harmonisation research efforts. The procedure involved public consultation through online media, followed two workshops which large number potential science questions were collated, prioritised, and synthesised. In spite diversity participants (230 scientists total), process revealed much about priorities state our science: preference continuity...
This paper studies a shape-invariant Engel curve system with endogenous total expenditure, in which the specification involves common shift parameter for each demographic group pooled of nonparametric curves. We focus on identification and estimation both shapes curves parametric scaling parameters. The condition relates to bounded completeness procedure applies sieve minimum distance conditional moment restrictions, allowing endogeneity. establish new root mean squared convergence rate...
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a class semiparametric optimization estimators where criterion function does not obey standard smoothness simultaneously depends on some nonparametric that can themselves depend parameters be estimated. Our results extend existing theories such as those Pakes Pollard (1989), Andrews (1994a), Newey (1994). also show bootstrap provides asymptotically correct confidence regions finite dimensional...
Recent events across many regions around the world have shown that short-term droughts (i.e., daily or weekly) with sudden occurrence can lead to huge losses a wide array of environmental and societal sectors. However, most commonly used drought indices only identify at monthly scale. Here, we introduced scale index, is, standardized antecedent precipitation evapotranspiration index (SAPEI) utilizes potential also considers effect early water balance on dry/wet conditions current day. The...
Abstract. Compound dry and hot conditions frequently cause large impacts on ecosystems societies worldwide. A suite of indices is available for the assessment droughts heatwaves, yet there no index incorporating joint variability at sub-monthly scale. Here we introduce a daily-scale index, called standardized compound drought heat (SCDHI), to assess dry-hot conditions. The SCDHI based daily (the antecedent precipitation evapotranspiration – SAPEI), temperature (STI), probability distribution...
We propose a sieve maximum likelihood estimation procedure for broad class of semiparametric multivariate distributions. A joint distribution in this is characterized by parametric copula function evaluated at nonparametric marginal This distributions has gained popularity diverse fields due to its flexibility separately modeling the dependence structure and behaviors random variable, circumvention "curse dimensionality" associated with purely show that plug-in estimators (MLEs) all smooth...
Abstract Observed rainfall and flow data from the Dongjiang River basin in humid southern China were used to investigate runoff changes during low‐flow flooding periods annual flows over past 45 years. We first applied non‐parametric Mann–Kendall rank statistic method analyze change trend precipitation, surface pan evaporation those three periods. Findings showed that only period increased significantly, which was due a combination of precipitation decreased evaporation. The...
[1] Using daily precipitation data from China during the period 1960–2005, maximum number of consecutive rainy (or wet) days is investigated. Linear regression and modified Mann-Kendall test are used to evaluate trends in wet days. Results indicate (1) that four occur more frequently; however, their (fractional) contribution total amount small. On other hand, one day prevalent winter its (factional) largest. (2) In northwest China, increasing annually as well winter, implying wetting...