Zheng Wei

ORCID: 0009-0006-6003-6015
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About
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Research Areas
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Watershed Management Studies
  • Remote Sensing in Agriculture
  • Greenhouse Technology and Climate Control
  • Environmental and Agricultural Sciences
  • Irrigation Practices and Water Management
  • Remote Sensing and Land Use
  • Environmental Changes in China
  • Advanced Sensor and Control Systems
  • Translation Studies and Practices
  • Simulation and Modeling Applications
  • Climate change impacts on agriculture
  • Advanced Algorithms and Applications
  • Cryospheric studies and observations
  • Land Use and Ecosystem Services
  • Water Quality Monitoring and Analysis
  • Soil Moisture and Remote Sensing
  • Advanced Battery Materials and Technologies
  • Advancements in Battery Materials
  • Leaf Properties and Growth Measurement
  • Plant responses to elevated CO2
  • Industrial Technology and Control Systems
  • High Entropy Alloys Studies
  • Inertial Sensor and Navigation
  • Hydrological Forecasting Using AI

Wuhan University of Technology
2006-2025

China Institute of Water Resources and Hydropower Research
2015-2025

Hohai University
2008-2025

Wuhan Ship Development & Design Institute
2024

Central South University
2010-2024

Northwest University
2023-2024

Zhejiang Provincial Institute of Communications Planning,Design & Research
2024

Northwest A&F University
2024

North China Electric Power University
2014-2024

Beijing Satellite Navigation Center
2024

10.1016/j.jpowsour.2022.232125 article EN Journal of Power Sources 2022-09-29

Analyzing the distribution characteristics of precipitation pollution intensity in basin and identifying main factors affecting are important basis for realizing accurate management diffused pollution. Based on surface water quality data from four typical sections stream Qinhuai River Basin rainfall collected 2021 to 2022, were analyzed, representative natural social selected construct models ammonia nitrogen (NH

10.13227/j.hjkx.202401263 article EN PubMed 2025-01-08

This letter presents a novel method for automated footprint extraction of building facades from mobile LiDAR point clouds. The proposed first generates the georeferenced feature image cloud and then uses segmentation to extract contour areas which contain facade points buildings, trees, other objects in image. After all each area are extracted, classification based on principal component analysis (PCA) is adopted identify clouds extracted areas. Then, object segmented into different planes...

10.1109/lgrs.2012.2222342 article EN IEEE Geoscience and Remote Sensing Letters 2012-12-05

With climate change, the frequency of heat waves has surged dramatically in North China Plain (NCP). Irrigation affects occurrence globally, but its dynamics with local shifts and varying irrigation levels are not well understood. To delineate effect on heatwave trends their spatiotemporal heterogeneity NCP, we utilize observational data, dividing period into 1968-1995 1996-2015 to distinguish variability evolution. Spatiotemporal multivariate regression a window search algorithm used...

10.5194/egusphere-egu25-4979 preprint EN 2025-03-14

This paper delves into the translation and dissemination of Chinese opera in English - speaking world from 1919 to 1949. It examines overseas during this period, including historical context, status foreign translation, characteristics its UK US. The analyzes implications for proposes strategies strengthen opera, such as improving quality, expanding channels, fostering diverse entities. Additionally, it is suggested deepen exploration intrinsic values, promote innovative development on...

10.5539/ass.v21n2p45 article EN Asian Social Science 2025-03-31

In recent years, the unmanned aerial vehicle (UAV) remote sensing system has been rapidly developed and applied in accurate estimation of crop parameters yield at farm scale. To develop major contribution UAV multispectral images predicting winter wheat leaf area index (LAI), chlorophyll content (called soil plant analyzer development [SPAD]), under different water treatments (low level, medium high level), vegetation indices (VIs) originating from were used during key growth stages. The...

10.3389/fpls.2021.609876 article EN cc-by Frontiers in Plant Science 2021-05-20

Electrocatalysis plays an important role in the production of clean energy and pollution control. Researchers have made great efforts to explore efficient, stable, inexpensive electrocatalysts. However, traditional trial error experiments theoretical calculations require a significant amount time resources, which limits development speed Fortunately, rapid machine learning (ML) has brought new solutions scientific problems paradigms The combination ML with experimental propelled advancements...

10.20517/jmi.2023.23 article EN Journal of Materials Informatics 2023-08-31

With the increasing interest in tackling "shuttle effect" of lithium–sulfur (Li–S) batteries, there is a growing emphasis on investigating effective catalysts to improve redox kinetics and understand associated reaction pathways. In this study, series nonmetal (B, N, Si, P, S, F, Cl) single-atom-doped graphenes were theoretically investigated as for multistep reduction S8 kinetic conversion rate-limiting step. Analysis Gibbs free energy process these confirms that step Li2S2 Li2S....

10.1021/acs.jpcc.4c00063 article EN The Journal of Physical Chemistry C 2024-04-10

Understanding the spatial–temporal distribution of photosynthetically active radiation (PAR) within crop canopies is crucial for optimizing planting structures to enhance resource use efficiency and improve yields. While high densities are commonly employed increase yields, this practice can lead issues such as early leaf senescence reduced biomass. This study investigates impact varying on PAR dynamics, canopy structure, yield formation in maize over two years. Key findings include...

10.3390/agronomy15040940 article EN cc-by Agronomy 2025-04-11

Exploring the influencing factors of potential evapotranspiration (PET) is great significance for further understanding causes climate change and improving agricultural irrigation efficiency. In this study, modified Mann–Kendall analysis was used to elucidate temporal variation characteristics meteorological PET based on a dataset from 710 stations in China. Furthermore, we revealed main that influence heterogeneity by combining sensitivity with contribution method. The results showed 1)...

10.1016/j.scitotenv.2023.168991 article EN cc-by-nc The Science of The Total Environment 2023-12-01
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