2024年
Wang, H., Li, Y. P., Huang, G. H, Zhang, Q., Ma, Y., & Li, Y. F. (2024). Quantifying multidimensional drought propagation risks under climate change: A vine-copula Bayesian factorial analysis method. Journal of Hydrology. 637, 131396.
Wang, H., Li, Y. P., Huang, G. H, Ma, Y., Zhang, Q., & Li, Y. F. (2024). Analyzing variation of water inflow to inland lakes under climate change: Integrating deep learning and time series data mining. Environmental Research. 259, 119478.
Wang, H., Li, Y. P., Huang, G. H, Zhang, Q., Ma, Y., & Li, Y. F. (2024). Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought. National Science Open, 3(1), 20230022.
Ma, Y., Li, Y.,Wang, H.,Zhang, Y., Zhou, Y., & Huang, G. (2024). Non-deterministic multi-level model for planning water-ecology nexus system under climate change. Cell Reports Sustainability, 100032.
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, 130911.
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.
Liu, S., Long, A. H., Yan, D. H., Luo, G. P.,Wang, H.(2024) Predicting Ili River streamflow change and identifying the major drivers with a novel hybrid model. Journal of Hydrology: Regional Studies, 53, 101807.
2023年
Zhang, Q., Li, Y. P., Huang, G. H.,Wang, H., & Shen, Z. Y. (2023). Copulafunctionwith Variational Bayesian Monte Carlo for unveiling uncertainty impacts on meteorological and agricultural drought propagation. Journal of Hydrology, 622, 129669.
2022年
Ma, Y., Li, Y. P., Huang, G. H., Zhang, Y. F., Liu, Y. R.,Wang, H., & Ding, Y. K. (2022). Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia. Agricultural Water Management, 266, 107549.
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.
2021年
Wang, H., Li, Y. P., Liu, Y. R., Huang, G. H., Li, Y. F., & Jia, Q. M. (2021). Analyzing streamflow variation in the data-sparse mountainous regions: An integrated CCA-RF-FA framework. Journal of Hydrology, 596, 126056.
2020年
Liu, S., Luo, G., &Wang, H. (2020). Temporal and spatial changes in crop water use efficiency in Central Asia from 1960 to 2016. Sustainability, 12(2), 572. (中科院三区)
张文强,罗格平,郑宏伟,王浩等.基于随机森林模型的内陆干旱区植被指数变化与驱动力分析:以北天山北坡中段为例[J].植物生态学报, 2020, 44(11): 1113. (CSSCI)
2019年
王浩,罗格平,王伟胜.基于多源遥感数据的锡尔河中下游农田土壤水分反演[J].自然资源学报, 2019, 34(12): 2717-2731.
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