A5020461658- Hydrology and Watershed Management Studies
- Precipitation Measurement and Analysis
- Climate variability and models
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Tree-ring climate responses
- Soil erosion and sediment transport
- Environmental Changes in China
- Hydrology and Sediment Transport Processes
- Soil Moisture and Remote Sensing
- Software System Performance and Reliability
- Educational Technology and Assessment
- Tropical and Extratropical Cyclones Research
- Landslides and related hazards
- Software Testing and Debugging Techniques
- Vehicle Routing Optimization Methods
- Environmental Quality and Pollution
- Oceanographic and Atmospheric Processes
- Vietnamese History and Culture Studies
- Geophysics and Gravity Measurements
- Cultural Differences and Values
- Data Management and Algorithms
Yunnan University
2014-2024
Huzhou University
2023
Yunnan Institute of Environmental Sciences
2018-2019
Xi'an Jiaotong University
2015
Chongqing Jiaotong University
2011-2013
Nanjing University
2010-2012
Civil Aviation University of China
2011
Shaanxi Normal University
2008
Gridded precipitation products have the advantages of wide spatial coverage and high spatiotemporal resolution compared to conventional rain-gauge data, been extensively applied in hydrology-related research. As one most representative gridded products, APHRODITE performs well regions over Asia except around Tibetan Plateau. This study implemented four bias correction methods including both mean-based (LS, LOCI) distribution-based approaches (CDF, LS_CDF) for data Yarluzangbu-Brahmaputra...
Satellite-based products with high spatial and temporal resolution provide useful precipitation information for data-sparse or ungauged large-scale watersheds. In the Lower Lancang-Mekong River Basin, rainfall stations are sparse unevenly distributed, transboundary characteristic makes collection of data more difficult, which has restricted hydrological processes simulation. this study, daily from four datasets (gauge observations, inverse distance weighted (IDW) data, Tropical Rainfall...
This study evaluated the performance and utility of Climate Hazard Group InfraRed Precipitation with Stations (CHIRPS) dataset for monitoring drought over Yunnan Province, China. First, several statistical metrics were used to evaluate CHIRPS data against 122 gauge observations acquired during 1981–2015. Then, variation was investigated further based on Standardized Index (SPI) multiple timescales. The results showed following: (1) performed well in terms monthly precipitation estimation (CC...
The Lancang-Mekong River Basin (LMRB) has been particularly vulnerable to serious and successive droughts during the last decades. Nevertheless, characteristics of spatiotemporal variations in meteorological drought (MD) hydrological (HD) with an emphasis on propagation have yet be thoroughly investigated. In this study, based reanalysis data, standardized precipitation index (SPI) runoff (SRI) were employed comprehensively examine evolution MD HD. Spearman rank correlation wavelet analyses...
Accurate precipitation data at a high spatial resolution are essential for hydrological, meteorological, and ecological research regional scales. This study presented geostatistical downscaling-calibration procedure to derive the maps of over mountainous watershed affected by monsoon climate. Based on relationships between other environmental variables, such as Normalized Difference Vegetation Index (NDVI) digital elevation model (DEM), regression with residual correction method was applied...
Tonle Sap Lake is the largest freshwater lake in Southeast Asia. Water development infrastructures are increasingly being constructed Lancang–Mekong River Basin, which a major concern considering its potential impact on Lake. This study aimed to investigate variations area of and discuss their possible linkage runoff alterations Lancang (Upper Mekong) by comparing at Yunjinghong hydrological station before after significant changes trends that occurred 2008. First, four commonly used water...
Satellite-based precipitation products have been widely used to estimate precipitation, especially over regions with sparse rain gauge networks. However, the low spatial resolution of these has limited their application in localized and watersheds. This study investigated a downscaling approach, Geographically Weighted Regression Kriging (GWRK), downscale Tropical Rainfall Measuring Mission (TRMM) 3B43 Version 7 Lancang River Basin (LRB) for 2001–2015. Downscaling was performed based on...
Satellite-based precipitation products (SPPs) provide alternative estimates that are especially useful for sparsely gauged and ungauged basins. However, high climate variability extreme topography pose a challenge. In such regions, rigorous validation is necessary when using SPPs hydrological applications. We evaluated the accuracy of three recent over upper catchment Red River Basin, which mountain gorge region southwest China experiences subtropical monsoon climate. The included Tropical...
In the Lancang–Mekong River Basin, monsoon fluctuation affects profoundly spatial and temporal distributions of precipitation, which is major cause uncertainty in hydrological processes water resources. This study investigated implications regional topography on precipitation variation it examined potential link between monsoons river flow. The results indicated that fluctuations western North Pacific summer (WNPSM) Indian (ISM) played different roles variation. areas was found synchronous...
Abstract Precipitation is one of the most important inputs for hydrological simulation because it controls water balance, and accurate representation rainfall distribution essential simulation. In Yarlung Tsangpo–Brahmaputra River Basin (YBRB), gauge‐based gridded datasets have difficulties in representing complex orographic precipitation as stations are too sparse to capture patterns. This study used Asian Highly Resolved Observational Data Integration Towards Evaluation Water Resources...
Abstract. Critical gaps in the amount, quality, consistency, availability, and spatial distribution of rainfall data limit extreme precipitation analysis, application gridded is challenging because their considerable biases. This study corrected Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation Water Resources (APHRODITE) estimates Yarlung Tsangpo–Brahmaputra River basin (YBRB) using two linear nonlinear methods, influence on indices was assessed by...
Twenty-five climate indices based on daily maximum and minimum temperature precipitation at 15 meteorological stations were examined to investigate changes in extremes over the Yarlung Tsangpo River Basin (1970–2017). The trend-free prewhitening (TFPW) Mann–Kendall test Pettitt’s used identify trends abrupt time series, respectively. results showed widespread significant extreme associated with warming, most of which experienced 1990s. Increases detected, magnitude change was greater than...
Accurate and reliable information on the spatiotemporal characteristics of agricultural drought is important in understanding complicated processes their potential impacts. We proposed an integrated approach for detecting droughts cropland exposure using remote sensing data over Greater Mekong Subregion (GMS) collected from 2001 to 2020. The soil moisture (SM) dataset (0.05°) was first reconstructed based ESACCI SM a random forest (RF) model. Subsequently, standardized index (SSMI) used...
In this study, 4 spatial interpolation methods, including Thiessen polygon, inverse distance weighted (IDW), ordinary kriging (OK), and cokriging (OCK), were adopted for monthly precipitation interpolation. As confirmed by the results, OCK which adopt elevation as secondary variable was superior to other methods. On hand, performance of also compared with that OK different correlation between rainfall elevation, results showed could not consistently outperform OK. When coefficient small, got...
As one of the most developed regions in China, plain East China is undergoing gradually increased flooding under obvious urbanization process. This paper mainly analyses trend water level time series region during past decades, and assesses temporal spatial variation indicators hydrological alteration. The results show that there a increasing level. Bigger slope higher significant can be observed monthly minimum than maximum level, peri-urban urban areas. Meanwhile, it mean both regions,...
The upper Nu–Salween River basin in the Tibetan Plateau is mainly covered with seasonal frozen soils. We used daily surface freeze–thaw states, detected from Special Sensor Microwave/Imager (SSM/I) brightness temperature data, to analyze variations states and relationship air temperature. also examined baseflow explore influences of interannual start time soil freezing on hydrological processes. results showed that (1) fluctuations led differences area freezing. When froze, flow was...
Spatial precipitation interpolation plays an important role in flood control and water resources management. However, the exhibits great spatial variability, this makes estimation difficult. This study discussed applicability of Radial Basis Function Network (RBFN) for interpolation. RBFN is usually employed multi-dimensional space, it composed input layer, hidden layer output while activity function computes distance between vectors centre neuron layer. Based on geographical location...
In this study, we applied regularized back-propagation neural network (BPNN), which made use of a performance function different from normal BPNN, to predict daily flow. On the other hand, Broyden-Fletcher-Goldfarb-Shanno (BFGS) -algorithm-based BPNN was also used compare its prediction with that BPNN. From 1979 1998, precipitation and stream flow data in Xitiaoxi watershed for 20 years were collected. All these divided into 2 sets: one training set (1979-1988), testing (1989-1998). The mean...
A grid-based GIS approach to flood submergence simulation and risk analysis was proposed using an integration of GIS, telemetering stage high resolution remote sensing image (ALOS), in southeast plain Yinzhou district. The digital elevation model (DEM) created based on 1:10000 topographic maps 1:5000 thematic maps, several pre-processing methods, including depression filling, urban terrain river network correction, were applied. After that, the "source flood" algorithm visiting every node...
Abstract Monsoon precipitation variability over the Indo‐China Peninsula (ICP) has become more complicated affected by global warming. In this study, modulation of Pacific decadal oscillation (PDO) on relationship between El Niño–Southern Oscillation (ENSO) and rainy season onset ICP were investigated. The results showed that predominantly correlated with winter sea surface temperature anomalies (SSTAs) in East Ocean, late early onsets following Niño La Niña events, respectively. During warm...
Abstract. Critical gaps in the amount, quality, consistency, availability, and spatial distribution of rainfall data limit extreme precipitation analysis, application gridded are challenging because their considerable biases. This study corrected Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation Water Resources (APHRODITE) Yarlung Tsangpo-Brahmaputra River Basin (YBRB) using two linear nonlinear methods, assessed influence on indices. The results showed...
To solve the classical uncapacitated multiple allocation p-hub median problem, (UMpHMP), this paper establishes evaluation System of hub-index by making use rough set data mining technology to reduce range hub choice from n alternative hubs limited q(q<n) airports, which greatly reduces variables and constraints UMpHMP model. NP-hard problems, genetic algorithm was designed according improved model for solutions. The simulation example domestic 15 cities route network designing indicates...