学术成果
[1] Zhang, Q., Li, Y. P., Huang, G. H., Wang, H., & Shen, Z. Y. (2024). Bayesian analysis of variance for quantifying multi-factor effects on drought propagation. Journal of Hydrology, 632, 130911.
[2] Zhang, Q., Li, Y. P., Huang, G. H., Wang, H., Li, Y. F., & Shen, Z. Y. (2024). Multivariate time series convolutional neural networks for long-term agricultural drought prediction under global warming. Agricultural Water Management, 292, 108683.
[3] Zhang, Q., Li, Y. P., Huang, G. H., Wang, H., & Shen, Z. Y. (2023). Copula function with Variational Bayesian Monte Carlo for unveiling uncertainty impacts on meteorological and agricultural drought propagation. Journal of Hydrology, 622, 129669.
[4] Zhang, Q., Li, Y. P., Huang, G. H., Wang, H., Li, Y. F., Liu, Y. R., & Shen, Z. Y. (2022). A novel statistical downscaling approach for analyzing daily precipitation and extremes under the impact of climate change: Application to an arid region. Journal of Hydrology, 615, 128730.
[5] Zhang, Q., Hou, Q., Huang, G., & Fan, Q. (2020). Removal of heavy metals in aquatic environment by graphene oxide composites: A review. Environmental Science and Pollution Research, 27, 190-209.
[6] Zhang, Q., Pei, L., Liu, C., Han, M., & Wang, W. (2018). Impact of redox condition on fractionation and bioaccessibility of arsenic in arsenic-contaminated soils remediated by iron amendments: A long-term experiment. Geofluids, 2018.
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