Biography

Prof. Wanchang Zhang

Global Disasters Research Laboratory, Aerospace Information Research Institute

Chinese Academy of Sciences (CAS), China


Email: zhangwc@radi.ac.cn


Qualifications

2000 Ph.D., Earth System Science, Nagoya University, Japan

1996 M.Sc., Atmospheric and Hydro-spheric Sciences, Nagoya University, Japan

1990 M.Sc., Geography, Chinese Academy of Sciences, China

1987 B.Sc., Engineering Geology, Chengdu University of Technology, China


Publications (Selected)

  1. Ji, P., Su, R., Wu, G., Xue, L., Zhang, Z., Fang, H., ... & Zhang, D. (2025). Projecting Future Wetland Dynamics Under Climate Change and Land Use Pressure: A Machine Learning Approach Using Remote Sensing and Markov Chain Modeling. Remote Sensing, 17(6), 1089.
  2. Li, W., Zhang, W., Feng, T., Lv, D., Zou, S., He, B., & Bai, X. (2025). Variations in Leaf Functional Traits of Pseudotsuga sinensis Across Forests With Varying Levels of Rocky Desertification. Ecology and Evolution, 15(2), e70916.
  3. Zhang, Z., Ahmad, Z., Xiong, S., & Zhang, W. (2024). Assessing glacier mass balance variations and climate drivers of Shisper and Muchuhar glaciers in the Karakoram region, Pakistan: a remote sensing and GIS approach. International Journal of Digital Earth, 17(1), 2406385.
  4. Chen, L., Zhang, Z., Liu, C., Xiong, S., Zhang, W., Gao, H., & Yi, Y. (2024). Incorporating glacier processes into hydrological simulations in the headwaters of the Yangtze and yellow Rivers. Science of The Total Environment, 951, 175474.
  5. Liu, C., Xu, C., Zhang, Z., Xiong, S., Zhang, W., Zhang, B., ... & Wang, S. (2024). Modeling hydrological consequences of 21st-Century climate and land use/land cover changes in a mid-high latitude watershed. Geoscience Frontiers, 15(5), 101819.
  6. Xu, C., Zhang, Z., Fu, Z., Xiong, S., Chen, H., Zhang, W., ... & Jiang, X. (2024). Impacts of climatic fluctuations and vegetation greening on regional hydrological processes: A case study in the Xiaoxinganling Mountains–Sanjiang Plain region, Northeastern China. Remote Sensing, 16(15), 2709.
  7. Jing, X., Li, X., Zhang, D., Liu, W., Zhang, W., & Zhang, Z. (2024). Forecast zoning of forest fire occurrence: A case study in southern China. Forests, 15(2), 265.
  8. Terwayet Bayouli, O., Zhang, W., & Terwayet Bayouli, H. (2023). Combining RUSLE model and the vegetation health index to unravel the relationship between soil erosion and droughts in southeastern Tunisia. Journal of Arid Land, 15(11), 1269-1289.
  9. Nie, N., Li, T., Miao, Y., Zhang, W., Gao, H., He, H., ... & Liu, M. (2023). Asymmetry of blue and green water changes in the Yangtze river basin, China, examined by multi-water-variable calibrated SWAT model. Journal of Hydrology, 625, 130099.
  10. Gao, H., Zhang, Z., Chen, H., Zhang, W., Xu, C., Yi, Y., ... & Xiao, Z. (2023). Impacts of seasonally frozen soil hydrothermal dynamics on the watershed hydrological processes inferred from a spatially distributed numerical modelling approach. Journal of Hydrology, 624, 129947.
  11. Wu, X., Zhang, Z., Xiong, S., Zhang, W., Tang, J., Li, Z., ... & Li, R. (2023). A near-real-time flood detection method based on deep learning and SAR images. Remote Sensing, 15(8), 2046.
  12. Azzam, A., Zhang, W., Xu, C., & Khan, Z. (2023). Calibration and evaluation of Hargreaves-Samani equation for estimating reference evapotranspiration: A case study in the Amu Darya River Basin, Central Asia. Journal of Hydrology: Regional Studies, 45, 101298.
  13. Yi, Y., Zhang, W., Xu, X., Zhang, Z., & Wu, X. (2022). Evaluation of neural network models for landslide susceptibility assessment. International Journal of Digital Earth, 15(1), 934-953.
  14. Sengupta, S., Mohinuddin, S., Arif, M., Sengupta, B., & Zhang, W. (2022). Assessment of agricultural land suitability using GIS and fuzzy analytical hierarchy process approach in Ranchi District, India. Geocarto International, 37(26), 13337-13368.
  15. Li, D., Peng, S., Yang, R., Zheng, J., Cai, Z., Zhang, T., & Zhang, W. (2022). Joint monitoring of CO2-ECBM based on multiple geophysical methods: A case study of Shizhuang Town, Shanxi Province, China. International Journal of Greenhouse Gas Control, 121, 103795.
  16. Azzam, A., Zhang, W., Akhtar, F., Shaheen, Z., & Elbeltagi, A. (2022). Estimation of green and blue water evapotranspiration using machine learning algorithms with limited meteorological data: A case study in Amu Darya River Basin, Central Asia. Computers and Electronics in Agriculture, 202, 107403.
  17. Zhang, T., Zhang, W., Cao, D., Yi, Y., & Wu, X. (2022). A new deep learning neural network model for the identification of InSAR anomalous deformation areas. Remote Sensing, 14(11), 2690.
  18. Wang, S., Xu, C., Zhang, W., Chen, H., & Zhang, B. (2022). Human-Induced water loss from closed inland Lakes: Hydrological simulations in China’s Daihai lake. Journal of Hydrology, 607, 127552.
  19. Jinping, L. I. U., Yanqun, R. E. N., Wanchang, Z. H. A. N. G., Hui, T. A. O., & Lu, Y. I. (2022). Study on the influence of climate and underlying surface change on runoff in the Yarlung Zangbo River basin. Journal of Glaciology and Geocryology, 44(1), 275-287.
  20. Zhang, T., Zhang, W., Yang, R., Gao, H., & Cao, D. (2022). Analysis of available conditions for InSAR surface deformation monitoring in CCS projects. Energies, 15(2), 672.


Profile Details

https://people.ucas.ac.cn/~ZhangWanchang

https://scholar.google.com.hk/citations?user=xTeUFBgAAAAJ&hl=zh-CN&oi=sra

https://www.researchgate.net/profile/Wanchang-Zhang-2

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