Tiejian Li

ORCID: 0000-0003-0948-5262
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About
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Research Areas
  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Hydrology and Sediment Transport Processes
  • Flood Risk Assessment and Management
  • Orthopaedic implants and arthroplasty
  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Soil erosion and sediment transport
  • Environmental and Agricultural Sciences
  • Total Knee Arthroplasty Outcomes
  • Hip disorders and treatments
  • Hydrology and Drought Analysis
  • Landslides and related hazards
  • Environmental Changes in China
  • Knee injuries and reconstruction techniques
  • Water resources management and optimization
  • Water-Energy-Food Nexus Studies
  • Cryospheric studies and observations
  • Orthopedic Infections and Treatments
  • Tropical and Extratropical Cyclones Research
  • Plant Water Relations and Carbon Dynamics
  • Water Systems and Optimization
  • Groundwater and Watershed Analysis
  • Geophysics and Gravity Measurements

Tsinghua University
2016-2025

Qinghai University
2016-2024

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2024

Ministry of Water Resources of the People's Republic of China
2024

China Meteorological Administration
2024

State Key Joint Laboratory of Environment Simulation and Pollution Control
2021-2023

Dongguan University of Technology
2023

University of Auckland
2023

Chinese PLA General Hospital
2020-2022

Chinese People’s Liberation Army 263 hospital
2020-2021

This paper develops a methodology for optimizing the hydro unit commitment (HUC) Three Gorges Project (TGP) in China. The TGP is world's largest and most complex hydropower system operation. objective to minimize total operational cost. decision variables are startup or shutdown of each available units power releases from online units. mathematical formulation must take into account head variation over operation periods as net changes hour affects generation. Additionally, consider 32...

10.1109/tpwrs.2013.2288933 article EN IEEE Transactions on Power Systems 2014-01-31

Signal processing on graphs is an emerging research field dealing with signals living irregular domain that captured by a graph, and has been applied to sensor networks, machine learning, climate analysis, etc. Existing works sampling reconstruction of graph mainly studied static bandlimited signals. However, many real-world are time-varying, they evolve smoothly, so instead the themselves being or smooth it more reasonable their temporal differences graph. In this paper, new batch method...

10.1109/jstsp.2017.2726969 article EN IEEE Journal of Selected Topics in Signal Processing 2017-07-13

Three-River Headwaters (TRH) region, China. Precipitation is regarded as the basic component of global hydrological cycle. This study investigated spatial and temporal characteristics precipitation over TRH region during 1961⿿2014, based on observed data 29 meteorological stations. The results showed that: (1) temporally, has experienced a significant increasing trend in annual (p < 0.1) especially dry season 0.01). (2) Spatially, mean (MAP) southeast-to-northwest decreasing recorded at most...

10.1016/j.ejrh.2016.03.001 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2016-03-31

The Lobster Eye Imager for Astronomy (LEIA), a pathfinder of the Wide-field X-ray Telescope Einstein Probe (EP) mission, was successfully launched onboard SATech-01 satellite Chinese Academy Sciences on 27 July 2022. In this paper, we introduce design and on-ground test results LEIA instrument. Using state-of-the-art Micro-Pore Optics (MPO), wide field-of-view (FoV) 346 square degrees (18.6 * 18.6 degrees) imager is realized. An optical assembly composed 36 MPO chips used to focus incident...

10.1088/1674-4527/acd593 article EN Research in Astronomy and Astrophysics 2023-05-15

A novel clustering method combing the Spearman's rank spatial correlation and spectral is proposed to investigate variability in moisture transport. Four transport regimes for extreme precipitation events (EPEs) over North China are identified through applying new source distributions of 232 EPEs during rainy season (June–September) 1979–2018. The four comprise approximately 50%, 21%, 20%, 9% EPEs, with counts 115, 48, 47, 22, respectively. Each regime exhibits distinctive patterns. In each...

10.1016/j.atmosres.2024.107254 article EN cc-by-nc Atmospheric Research 2024-01-15

10.1016/j.envsoft.2011.07.015 article EN Environmental Modelling & Software 2011-08-25

As a result of climate change/variation and its aggravation by human activities over the past several decades, hydrological conditions in middle Yellow River China have dramatically changed, which has led to sharp decrease streamflow drying up certain tributaries. This paper simulated analysed impact sediment-trapping dams (STDs, type large-sized check dam used prevent sediment from entering main stem) on processes, study area was located 3246 km2 Huangfuchuan basin. Changes processes were...

10.1002/hyp.10649 article EN cc-by-nc-nd Hydrological Processes 2015-08-24

Drainage network extraction plays an important role in geomorphologic analyses, hydrologic modeling, and non-point source pollutant simulation, among others. Flow enforcement, by imposing information of known river maps to digital elevation models (DEMs), leads improved drainage extraction. However, the existing flow enforcement methods (e.g., elevation-based stream-burning method) have certain limitations, as they may cause unreal longitudinal profiles, lead unintended topological errors,...

10.1016/j.geomorph.2019.04.022 article EN cc-by-nc-nd Geomorphology 2019-04-30

High-peak short-duration surface runoff is the primary cause of severe soil erosion and hyper-concentrated sediment-laden flow in Loess Plateau China. This paper proposed a model to simulate process hillslope Plateau, which essential support environmental friendly land use conservation policies. Infiltration excess this region simulated by calculating infiltration rate each unit. The time series are used as input with same step several minutes. A dimensionless equation obvious physical basis...

10.3808/jei.200900148 article EN Journal of Environmental Informatics 2009-09-10

The analysis of spatio-temporal signals plays an important role in various fields including sociology, climatology, and environmental studies, etc. Due to the abrupt breakdown sensors sensor network, there always are missing entries observed signals. In this paper, we study problem recovering from partially known entries. Based on both global local correlated property signals, propose a low rank differential smoothness based recovery method (LRDS), which novelly introduces smooth prior...

10.1109/tsp.2018.2875886 article EN IEEE Transactions on Signal Processing 2018-10-16

Numerical weather predictions (NWPs) are very useful in hydrological modeling, including for river flow forecasting and flood warning basins. However, uncertainties NWPs also significantly impact the accuracy of streamflow forecasting. Therefore, evaluating is crucial to achieve reliable forecasts. In this study, rainfall prediction skills three NWP models [developed by European Centre Medium-Range Weather Forecasts (ECMWF); U.K. Meteorological Office (UKMO); China Administration (CMA)]...

10.1061/(asce)nh.1527-6996.0000282 article EN cc-by Natural Hazards Review 2018-04-17

10.1016/j.jher.2007.03.001 article EN Journal of Hydro-environment Research 2007-09-01

Potential evaporation (PE) is the basic component of global hydrological cycle and energy balance. This study detected temporal spatial variations PE related driving factors in Tibet, China, for period 1961–2001, based on observed data recorded at 22 meteorological stations. The results showed that (1) Tibet experienced a statistically significant decrease between 1961 2001, which started mainly 1980s, along with accelerated warming; (2) mean annual an east–west increasing trend, most...

10.1080/02626667.2017.1332416 article EN Hydrological Sciences Journal 2017-05-19

The Three River Headwaters Region (TRHR) has great uncertainty on drought conditions under climate change. aim of this study is to compare the detected by multiple indices across TRHR. We applied four single indices, i.e., Precipitation Condition Index (PCI), Temperature (TCI), Soil Moisture (SMCI), and Vegetation (VCI), two combined Combined Meteorological Drought (CMDI) index (CVDI), explore in situ Standardized (SPI), Evapotranspiration (SPEI) Non-Parametric (SNPI) were used evaluate...

10.3390/w11020190 article EN Water 2019-01-23
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