A5081162222- Hydrology and Watershed Management Studies
- Karst Systems and Hydrogeology
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Structural Engineering and Vibration Analysis
- Climate variability and models
- Environmental and Agricultural Sciences
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Industrial Technology and Control Systems
- Simulation and Modeling Applications
- Evaluation Methods in Various Fields
- Soil Moisture and Remote Sensing
- Plant Water Relations and Carbon Dynamics
- Climate change impacts on agriculture
- Civil and Geotechnical Engineering Research
- Advanced Computational Techniques and Applications
- Precipitation Measurement and Analysis
- Cryptography and Data Security
- Mechanical stress and fatigue analysis
- Vibration and Dynamic Analysis
- Environmental Changes in China
- BIM and Construction Integration
Institute of Geographic Sciences and Natural Resources Research
2023-2025
Chinese Academy of Sciences
2014-2025
Southwest University
2014-2023
Institute of Oceanology
2023
University of Chinese Academy of Sciences
2020-2023
China University of Mining and Technology
2011-2022
Guizhou University
2021
Changchun Institute of Optics, Fine Mechanics and Physics
2014-2020
Jiangsu Normal University
2008-2019
Sun Yat-sen University
2017
Abstract. Long lead time flood forecasting is very important for large watershed mitigation as it provides more warning and emergency responses. The latest numerical weather forecast model could provide 1–15-day quantitative precipitation products in grid format, by coupling this product with a distributed hydrological produce long products. This paper studied the feasibility of Liuxihe Weather Research Forecasting (WRF QPF) southern China. QPF WRF has three times, including 24, 48 72 h,...
Normalized Difference Vegetation Index (NDVI) is an effective proxy for vegetation activity and terrestrial productivity, the widely used global NDVI products include third generation Global Inventory Modelling Mapping Studies Advanced Very High-Resolution Radiometer (NDVI3g), Satellite Pour l'Observation de la Terre VEGETATION (NDVIsp) Terra Moderate Resolution Imaging Spectroradiometer (NDVItr). Here, first time, we investigated differences between three NDVIs in response sensitivity to...
Abstract. A distributed hydrological model has been successfully used in small-watershed flood forecasting, but there are still challenges for the application a large watershed, one of them being model's spatial resolution effect. To cope with this challenge, two efforts could be made; is to improve computation efficiency other implementing on high-performance supercomputer. This study sets up physically based forecasting Liujiang River basin south China. Terrain data digital elevation...
Record-shattering events, defined as extreme events that exceed previous records by large margins, pose increasing risks under climate change. Concurrent soil moisture droughts across multiple crop-growing regions can severely impact the agricultural sector and global food security exposing a fraction of crop area to water stress. Here, using data from Single Model Initial-condition Large Ensembles (SMILEs) over 1950-2099, we investigate evolution probability spatially compound shatter in...
Droughts have been exacerbated by climate change, posing significant risks to ecosystems, hydrology, agriculture, and human society. In this paper, we present the development evaluation of a high-resolution 1 km SPEI (Standardized Precipitation-Evapotranspiration Index) dataset enhance drought monitoring at finer spatial scales. The datasets, derived using TPDC precipitation satellite-based MODIS potential evapotranspiration data, were compared with coarse-resolution 50 from CRU...
The largest inland river basin in China (the Tarim River Basin) This study introduces a novel classification scheme for dry and warm snow droughts with focus on their duration, severity, intensity. Nonparametric Standardized SWE Index (NSWEI) the Precipitation (SPI) were employed to assess these drought types. optimal parameters-based geographical detector (OPGD) model machine learning (including random forest Shapley-XGBoost algorithm) applied reveal spatial time dynamic driving forces of...
Abstract. In general, there are no long-term meteorological or hydrological data available for karst river basins. The lack of rainfall is a great challenge that hinders the development models. Quantitative precipitation estimates (QPEs) based on weather satellites offer potential method by which in areas could be obtained. Furthermore, coupling QPEs with distributed model has to improve precision flood predictions large watersheds. Estimating from remotely sensed information using an...
Hydrologic disasters often result in substantial property damage and casualties. Therefore, hydrology forecasting, especially the flooding, has become a hot research spot all countries of world. Based on basic principle flooding formation, this paper proposes data-driven forecasting model, i.e., CRML (Convolution Regression based Machine Learning). This model could reflect impact hourly rainfall future flow changes are predicted by superimposing these impacts. First, our work is implemented...
Online prediction models for the density components of raw coal, float-and-sink data composition, and expression real-time distribution curves can be established by using a month comprehensive material tests coal from quality preparation database, fast testing data, measured online ash-testing instrument on belt, importing time as variable quantity. Real-time separation density, production yield, ash predicted based material, required cleans yield after separation, fit curve, thus optimized...
Disgust is an emotion that drives food avoidance. People vary in their responses to disgust, which captured by disgust sensitivity. sensitivity clinically significant because it can influence eating behaviors and indirectly people's body-mass index (BMI). Inhibitory control also BMI through the role such reflective abilities play governing intake. In this study, we relied on neural models of suggest inhibitory are intertwined, facilitates translation into BMI. Mediation analyses applied 46...
Abstract. Long lead time flood forecasting is very important for large watershed mitigation as it provides more warning and emergency responses. Latest numerical weather forecast model could provide 1–15 days quantitative precipitation products at grid format, by coupling this product with distributed hydrological produce long products. This paper studied the feasibility of Liuxihe Model WRF QPF a in southern China. The has three time, including 24 hour, 48 hour 72 resolution 20 km × km. set...
Abstract The problem of product structure optimization always appears in the coal preparation plants, mines, and mining areas three ranks. Differential Evolution Algorithm is applied to optimize plants. A model optimizing maximizing economic benefit plants developed, with use a toolbox software called 1stopt, then optimum solution products processing achieved. using tested through actual data; test results prove that can be used it has characters simple principle, strong ability global...