Wenbin Zhu

ORCID: 0000-0003-0514-6714
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About
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Research Areas
  • Climate variability and models
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Watershed Management Studies
  • Remote Sensing in Agriculture
  • Urban Heat Island Mitigation
  • Soil Moisture and Remote Sensing
  • Flood Risk Assessment and Management
  • Remote Sensing and Land Use
  • Soil and Water Nutrient Dynamics
  • Water resources management and optimization
  • Hydrology and Drought Analysis
  • Climate change and permafrost
  • Cryospheric studies and observations
  • Soil Carbon and Nitrogen Dynamics
  • Water Resources and Sustainability
  • Land Use and Ecosystem Services
  • Meteorological Phenomena and Simulations
  • Precipitation Measurement and Analysis
  • Tropical and Extratropical Cyclones Research
  • Geological Studies and Exploration
  • Environmental Changes in China
  • Geological and Geophysical Studies
  • Calibration and Measurement Techniques
  • Remote Sensing and LiDAR Applications
  • Methane Hydrates and Related Phenomena

Institute of Geographic Sciences and Natural Resources Research
2016-2025

Chinese Academy of Sciences
2015-2024

Qinghai University
2023-2024

Nanjing University
2024

State Key Laboratory of Plateau Ecology and Agriculture
2023

University of Chinese Academy of Sciences
2011-2022

Institute of Soil Science
2016-2022

East China University of Technology
2021

Nanchang Hangkong University
2021

Columbia University
2018

Abstract An understanding of climate variability, trends, and prediction for better water resource management planning in a basin is very important. Since the resources Lake Chad (LCB) are highly vulnerable to changing climate, present study, combination trend analysis methods was used examine variability trends period 1951–2015 using observed Climate Research Unit (CRU) data, spectral techniques temperature precipitation CRU data. Eighty-four percent time series indicated extremely strong...

10.1038/s41598-019-42811-9 article EN cc-by Scientific Reports 2019-04-19

Abstract A comprehensive and reliable assessment of the water resources in China's transboundary river basins is vital for management peaceful development. In this study, we built machine learning (random forest, gradient boosting, stacking) traditional linear models to identify relation between runoff coefficient its influencing factors, including topography, climate, land cover, soil. The cross‐validation results show that greatly outperform model predicting coefficient. High‐resolution...

10.1029/2018wr023044 article EN Water Resources Research 2018-11-06

The Yellow River Basin plays a crucial role in China's socio-economic development and ecological security. growing trend of water consumption driven by anthropogenic activities has posed an increasing number challenges for the sustainable basin. Water demand prediction central part facilitating conservation developing allocation strategies. Hence, model based on concept resources carrying capacity was built to predict with different future scenarios provide reference strategies allocation....

10.1016/j.ejrh.2022.101148 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2022-06-22

Using National Oceanographic and Atmospheric Administration/Advanced Very High Resolution Radiometer (NOAA/AVHRR) Climatic Research Unit (CRU) climate datasets, we analyzed interannual trends in the growing-season Normalized Difference Vegetation Index (NDVI) China from 1982 to 2011, as well effects of climatic variables human activities on vegetation variation. Growing-season (period between onset end plant growth) NDVI significantly increased (p < 0.01) a national scale showed positive...

10.3390/rs71013729 article EN cc-by Remote Sensing 2015-10-21

The knowledge of water storage variations in ungauged lakes is fundamental importance to understanding the balance on Tibetan Plateau. In this paper, a simple framework was presented monitor fluctuation inland bodies by combination satellite altimetry measurements and optical imagery without any situ measurements. level, surface area, Lake Qinghai were estimated demonstrate framework. Water levels retrieved from ICESat (Ice, Cloud, Elevation Satellite) elevation data lake area derived MODIS...

10.3390/rs61110457 article EN cc-by Remote Sensing 2014-10-29

Abstract The triangle method based on the spatial relationship between remotely sensed land surface temperature ( T s ) and vegetation index (VI) has been widely used for estimates of evaporative fraction (EF). In present study, a universal was proposed by transforming ‐VI feature space from regional scale to pixel scale. retrieval EF is only related boundary conditions at scale, regardless configuration over domain. each are composed theoretical dry edge determined energy balance principle...

10.1002/2017jd026964 article EN Journal of Geophysical Research Atmospheres 2017-09-18

Abstract As a fundamental natural resource and strategic economic resource, water resources play key supporting role in the process of social development. In this paper, risk factors influencing carrying capacity (WRCC) were investigated based on theory theory, method for assessment WRCC was proposed. The vulnerability system evaluated by using Fuzzy Comprehensive Evaluation method, hazard calculated comprehensive index, then obtained combining with hazard. China due to climate change,...

10.1111/1752-1688.12936 article EN JAWRA Journal of the American Water Resources Association 2021-07-27

Abstract China's water stress and its pressure on food security is a widely recognized crisis. A framework proposed applied at the provincial level to evaluate for production. It based index that accounts deficit between supply aggregate demand of 23 major field crops over study period (1961–2015). The estimated method recommended by Food Agriculture Organization United Nations. composed rainfall irrigation. Consequently, both rainfed irrigated agriculture evaluated in our research,...

10.1029/2019gl083226 article EN Geophysical Research Letters 2019-09-04

With abundant resources in the wetland, Yellow River Delta provides important habitats for various kinds of rare bird species. However, due to climate change and human water withdrawal activities, no-flow events occurred frequently since 1970s, resulting serious wetland degradation biodiversity losses. Ecological supplement has been regarded as one most effective measures cope with these environmental problems. Accordingly, how much is required ecological restoration becomes an essential...

10.1016/j.ecolind.2021.107783 article EN cc-by-nc-nd Ecological Indicators 2021-05-09

Abstract. This research explores the rainfall-El Niño-Southern Oscillation (ENSO) and runoff-ENSO relationships examines potential for water resource forecasting using these relationships. The Southern Index (SOI), Niño1.2, Niño3, Niño4, Niño3.4 were selected as ENSO indicators cross-correlation analyses of precipitation runoff. There was a significant correlation (95% confidence level) between during three periods: January, March, from September to November. In addition, monthly streamflow...

10.5194/hess-15-1273-2011 article EN cc-by Hydrology and earth system sciences 2011-04-21

Abstract. In this study, the impacts of El Niño–Southern Oscillation (ENSO) on daily precipitation regimes in China are examined using data from 713 meteorological stations 1960 to 2013. We discuss annual precipitation, frequency and intensity rainfall events, extremes for three phases (eastern Pacific Niño – EP, Central CP, La Niña LN) ENSO events both developing decaying years. A Mann–Whitney U test was applied assess significance anomalies due ENSO. Results indicated that each had a...

10.5194/hess-23-883-2019 article EN cc-by Hydrology and earth system sciences 2019-02-14
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