Wenzhao Li

ORCID: 0000-0003-4366-4985
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Flood Risk Assessment and Management
  • Remote Sensing in Agriculture
  • Hydrology and Watershed Management Studies
  • Marine and coastal ecosystems
  • Plant Water Relations and Carbon Dynamics
  • Land Use and Ecosystem Services
  • Meteorological Phenomena and Simulations
  • Hydrology and Drought Analysis
  • Oceanographic and Atmospheric Processes
  • Coastal wetland ecosystem dynamics
  • Groundwater and Watershed Analysis
  • Marine and fisheries research
  • Atmospheric chemistry and aerosols
  • Urban Heat Island Mitigation
  • Atmospheric aerosols and clouds
  • Geochemistry and Geologic Mapping
  • Remote-Sensing Image Classification
  • Cryospheric studies and observations
  • Remote Sensing and LiDAR Applications
  • Water Quality Monitoring and Analysis
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Gas Sensing Nanomaterials and Sensors
  • Oil Palm Production and Sustainability
  • Water resources management and optimization

Chapman University
2017-2025

Alibaba Group (China)
2021-2025

The University of Texas at Arlington
2021-2023

Peking University
2017-2023

Zunyi Normal College
2019-2022

Sun Yat-sen University
2022

China National Institute of Standardization
2022

PLA Army Engineering University
2022

Schmid (Germany)
2019

Bridge University
2019

Conifers dominate the world's forest ecosystems and are most widely planted tree species. Their giant complex genomes present great challenges for assembling a complete reference genome evolutionary genomic studies. We 25.4-Gb chromosome-level assembly of Chinese pine (Pinus tabuliformis) revealed that its size is mostly attributable to huge intergenic regions long introns with high transposable element (TE) content. Large genes exhibited higher expressions levels. Despite lack recent...

10.1016/j.cell.2021.12.006 article EN cc-by-nc-nd Cell 2021-12-28

Monitoring drought in semi-arid regions due to climate change is of paramount importance. This study, conducted Morocco's Upper Drâa Basin (UDB), analyzed data spanning from 1980 2019, focusing on the calculation indices, specifically Standardized Precipitation Index (SPI) and Evapotranspiration (SPEI) at multiple timescales (1, 3, 9, 12 months). Trends were assessed using statistical methods such as Mann-Kendall test Sen's Slope estimator. Four significant machine learning (ML) algorithms,...

10.1016/j.crm.2024.100630 article EN cc-by-nc Climate Risk Management 2024-01-01

Owing to their extremely wide bandwidths, pure optical ultrasonic detection methods are gaining increasing interest. In this Letter, we proposed a simple detector that is based on the polarization-dependent reflection. When acoustic wave reaches liquid-glass interface, pressure changed relative refractive index between two media, leading perturbations in reflectance of probe beam glass. Unlike previous studies detected modulations intensity reflected beam, our method, named...

10.1364/ol.42.000439 article EN Optics Letters 2017-01-17

The Grand Ethiopian Renaissance Dam (GERD), formerly known as the Millennium Dam, has been filling at a fast rate. This project created issues for Nile Basin countries of Egypt, Sudan, and Ethiopia. GERD an impact on hydrology specifically water storages (lakes/reservoirs) flow downstream. In this study, through analysis multi-source satellite imagery, we study reservoir. time-series generated using Sentinel-1 SAR imagery displays number classified pixels in dam from early June 2017 to...

10.3390/rs13040711 article EN cc-by Remote Sensing 2021-02-15

Heavy rainfall leads to severe flooding problems with catastrophic socio-economic impacts worldwide. Hydrologic forecasting models have been applied provide alerts of extreme flood events and reduce damage, yet they are still subject many uncertainties due the complexity hydrologic processes errors in forecasted timing intensity floods. This study demonstrates efficacy using eXtreme Gradient Boosting (XGBoost) as a state-of-the-art machine learning (ML) model forecast gauge stage levels at...

10.3390/w14050747 article EN Water 2022-02-26

Numerous algorithms have been developed to automate the process of delineating water surface maps for flood monitoring and mitigation purposes by using multiple sources such as satellite sensors digital elevation model (DEM) data. To better understand causes inaccurate mapping information, we aim demonstrate advantages limitations these through a case study 2022 Madagascar flooding event. The HYDRAFloods toolbox was used perform preprocessing, image correction, automated detection based on...

10.3390/hydrology10010017 article EN cc-by Hydrology 2023-01-08

In September 2015, the members of United Nations adopted 2030 Agenda for Sustainable Development with universal applicability 17 Goals (SDGs) and 169 targets. The SDGs are consequential development countries in Nile watershed, which affected by water scarcity experiencing rapid urbanization associated population growth. Earth Observation (EO) has become an important tool to monitor progress implementation specific SDG targets through its wide accessibility global coverage. addition,...

10.3390/rs12091391 article EN cc-by Remote Sensing 2020-04-28

Abstract Land-cover change is a critical concern due to its climatic, ecological, and socioeconomic consequences. In this study, we used multiple variables including precipitation, vegetation index, surface soil moisture, evapotranspiration obtained from different satellite sources study their association with land-cover changes in the Mediterranean region. Both observational modeling data were for climatology correlation analysis. Famine Early Warning Systems Network (FEWS NET) Land Data...

10.1007/s41748-021-00213-w article EN cc-by Earth Systems and Environment 2021-03-30

This study considers the various factors that regulate nutrients supply in Red Sea. Multi-sensor observation and reanalysis datasets are used to examine relationships among dust deposition, sea surface temperature (SST), wind speed, as they may contribute anomalous phytoplankton blooms, through time-series correlation analyses. A positive was found at 0–3 months lag between chlorophyll-a (Chl-a) anomalies over Sea regions. Dust deposition process further examined with aerosols’ vertical...

10.3390/rs10050673 article EN cc-by Remote Sensing 2018-04-26

Air pollution is reported as one of the most severe environmental problems in Middle East and North Africa (MENA) region. Remotely sensed data from newly available TROPOMI - TROPOspheric Monitoring Instrument on board Sentinel-5 Precursor, shows an annual mean high-resolution maps selected air quality indicators (NO2, CO, O3, UVAI) MENA countries for first time. The correlation analysis among aforementioned show coherency pollutants urban areas. Multi-year Aerosol Robotic Network (AERONET)...

10.3390/rs11182096 article EN cc-by Remote Sensing 2019-09-08

Regenerative braking systems (RBSs) are a transformative technology in the automotive industry, widely adopted new energy vehicles (NEVs), especially electric ones. This study comprehensively reviews RBS research, including its origin, working principle, classification, and current status using VOSviewer. article provides an in‐depth analysis discussion of latest research progress key technologies such as mechanical design, logic control optimization, technical evaluation. It is found that...

10.1155/er/3460776 article EN cc-by International Journal of Energy Research 2025-01-01

Abstract The Western U.S. is experiencing significant changes in its hydrological dynamics, marked by increased variability and rapid “whiplash” shifts between extreme drought flood conditions. This study quantified these using a customized water year index, which correlated better with surface storage the basins than other drought/wetness indicators. Application of index revealed heightened extremes whiplash events post‐2015 all basins, nearly 72% stations facing critically dry conditions...

10.1029/2024ef005447 article EN cc-by Earth s Future 2025-05-01

Vegetation is an important ecological component of offshore islands in the Arabian Gulf (AG), which maintains long-term resilience these islands. This achieved by influencing sediment retention and moisture acquisition via condensation during periods high humidity providing a variety microhabitats for island fauna. The islands' ecosystems Saudi waters because they host largest number nesting hawksbill green turtles AG. study defines characteristics trends vegetation cover used sea as grounds...

10.1016/j.ecolind.2020.106612 article EN cc-by-nc-nd Ecological Indicators 2020-06-17

The coronavirus pandemic has not only gripped the scientific community in search for a vaccine or cure but also attempts using statistics and association analysis-to identify environmental factors that increase its potency. A study by Ogen (Sci Total Environ 726:138605, 2020a) explored possible correlation between fatality high nitrogen dioxide exposure four European countries-France, Germany, Italy Spain. Meanwhile, another showed importance of along with population density determining rate...

10.1007/s41748-020-00176-4 article EN cc-by Earth Systems and Environment 2020-09-01
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