Qing Yang

ORCID: 0009-0007-1271-3883
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About
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Research Areas
  • Groundwater and Isotope Geochemistry
  • Advanced Photonic Communication Systems
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Optical Network Technologies
  • Analytical chemistry methods development
  • Groundwater flow and contamination studies
  • Water Treatment and Disinfection
  • Urban Stormwater Management Solutions
  • PAPR reduction in OFDM
  • Optical Wireless Communication Technologies
  • Land Use and Ecosystem Services
  • Hydrology and Watershed Management Studies
  • Toxic Organic Pollutants Impact
  • Marine Toxins and Detection Methods
  • Environmental Quality and Pollution
  • Advanced SAR Imaging Techniques
  • Wetland Management and Conservation
  • Advanced MIMO Systems Optimization
  • Heavy metals in environment
  • Atmospheric chemistry and aerosols
  • Geology and Paleoclimatology Research
  • Wireless Communication Networks Research
  • Knowledge Management and Technology
  • Isotope Analysis in Ecology
  • Synthetic Aperture Radar (SAR) Applications and Techniques

Lanzhou University of Technology
2023-2024

University of Electronic Science and Technology of China
2024

Hainan University
2024

Southwest University
2023

Guizhou University
2020

Southwest Jiaotong University
2014

Institute of Vertebrate Paleontology and Paleoanthropology
2013

Chinese Academy of Sciences
2013

Climate change is the main factor affecting country's vulnerability, meanwhile, it also a complicated and nonlinear dynamic system. In order to solve this complex problem, paper first uses analytic hierarchy process (AHP) natural breakpoint method (NBM) implement an AHP-NBM comprehensive evaluation model assess national vulnerability. By using ArcGIS, vulnerability scores are classified divided into three levels: fragile, vulnerable, stable. Then, BP neural network prediction which based on...

10.32604/cmc.2019.03782 article EN Computers, materials & continua/Computers, materials & continua (Print) 2019-01-01

Core Ideas Our method can estimate groundwater recharge through multiple contrasting lithological layers. Both human activities and natural aquifer character impact flow transport. Geomembrane liners effectively control the leakage from Yongding River. The ecological restoration of River alleviate local water deficit. Reclaimed was discharged into channels as water. Pollutants such may leak underlying put environment at risk. estimation under different possible river lining conditions...

10.2136/vzj2018.06.0121 article EN cc-by-nc-nd Vadose Zone Journal 2018-01-01

Nitrate pollution has become an environmental problem of global concern. One effective way for controlling the nitrate water is to identify source and reduce input nitrate. This study traces quantifies sources contamination groundwater surface in northeastern suburbs Beijing, where emergency zone located. Nitrogen oxygen stable isotope analysis, geospatial analysis techniques, principal component correlation a Bayesian mixing model were used achieve our goals. The results show that main...

10.1080/10256016.2021.1937149 article EN Isotopes in Environmental and Health Studies 2021-06-22

Rural land consolidation (RLC) is one of the largest organized activities affecting use and terrestrial ecosystems, its effect on ecosystems' spatial patterns service functions has been closely scrutinized. Previous studies have primarily focused response ecosystem services (ES), but associated changes in farmers' dependence ES not yet adequately explored or completely understood. This study employs a sustainable livelihood framework to identify mechanism through which RLC affects ES,...

10.1016/j.ecoinf.2024.102715 article EN cc-by-nc-nd Ecological Informatics 2024-07-03

Conventional multiple input output (MIMO) detection algorithms face challenges related to computational complexity and limited performance when handling high-dimensional inputs complex channel conditions. In order enhance signal recovery accuracy in atmospheric turbulence channels for faster-than-Nyquist (FTN) optical wireless communication (OWC) systems, a deep learning (DL) based MIMO detector is proposed. By leveraging neural network (DNN), it becomes possible learn nonlinear mappings...

10.1109/jphot.2024.3373002 article EN cc-by IEEE photonics journal 2024-03-12

To mitigate inter-symbol interference (ISI) caused by Faster-than-Nyquist (FTN) technology in a multiple input output (MIMO) optical wireless communication (OWC) system, we propose an ISI cancellation algorithm that combines multi-head self-attention (MHSA), one-dimensional convolutional neural network (1D CNN), and bi-directional long short-term memory (Bi-LSTM). This hybrid extracts data features using 1D CNN captures sequential information with Bi-LSTM, while incorporating MHSA to...

10.3390/photonics11100982 article EN cc-by Photonics 2024-10-19

10.1109/icicn62625.2024.10761294 article EN 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN) 2024-08-21

The method of utilizing rain water has been well developed in foreign countries to realize the sustainable development recourse while is still at initial level China. When considering increasing shortage and urban flood, awareness water, as an inevitable trend, applied various engineering technologies. This article analyzed principle conventional road drainage system application artificial wetland technology, also proposed combine wetland, a complex system, utilize decrease flood pressure,...

10.4028/www.scientific.net/amm.484-485.763 article EN Applied Mechanics and Materials 2014-01-01

Traditional multiple input output (MIMO) detection algorithms encounter challenges with computational complexity and performance limitations when dealing high-dimensional inputs complex channel conditions. To improve the precision of signal recovery in atmospheric turbulence channels for faster-than-Nyquist (FTN) optical wireless communication (OWC) systems, a deep learning (DL) based MIMO detector is proposed. By utilizing neural network (DNN), nonlinear mappings systems can be learned,...

10.1109/icait59485.2023.10367418 article EN 2023-10-13
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