1. 甘肃省杰出青年基金获得者

2. 2025年甘肃省科技进步三等奖（2/5）

3. 北京市优秀毕业生

4. 中国科学院大学优秀毕业生

1. Liu, W., Liang, Y., Feng, Q., Zeng, J., Xu, L., Engel, A. B. A comparative assessment of sampling strategies for tree-based machine learning models in urban flood susceptibility prediction with imbalanced data. Sustainable Cities and Society, 2026, 148: 107586.

2. Liu, W., Qian, Y., Yao, L., Feng, Q., Engel, A. B., Chen, W., & Yu, T. Identifying city-scale potential and priority areas for retrofitting green roofs and assessing their runoff reduction effectiveness in urban functional zones. Journal of Cleaner Production, 2022, 332: 130064.

3. Liu, W., Chang, C. A., Chen, W., Zhou, W., & Feng, Q. A framework for the urban eco-metabolism model-Linking metabolic processes to spatial patterns. Journal of Cleaner Production, 2017, 165: 168-176. 

4. Liu, W., Zhang, X., Feng, Q., Engel, A. B. City-scale integrated flood risk prediction under future climate change and urbanization based on the shared socioeconomic pathways (SSP) scenarios. Journal of Hydrology, 2025, 655: 132971.

5. Liu, W., Zhang, X., Feng, Q., Engel, A. B., & Li, Z. Substrate moisture variations of extensive green roofs with different structural configurations in a semi-arid region: observational data and dynamic simulation. Journal of Hydrology, 2023, 626: 130133.

6. Liu, W., Feng, Q., Engel, A. B., Yu, T., Zhang, X., Qian, Y. A probabilistic assessment of urban flood risk and impacts of future climate change. Journal of Hydrology, 2023, 618: 129267.

7. Liu, W., Engel, A. B., Feng, Q., & Li, R. Simulating annual runoff retention performance of extensive green roofs: A comparison of four climatic regions in China. Journal of Hydrology, 2022, 610: 127871.

8. Liu, W., Engel, A. B., & Feng, Q. Modelling the hydrological responses of green roofs under different substrate designs and rainfall characteristics using a simple water balance model. Journal of Hydrology, 2021, 602: 126786.

9. Liu, W., Engel, A. B., Chen, W., Wei, W., Wang, Y., & Feng, Q. Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method. Journal of Hydrology, 2021, 593: 125864.

10. Liu, W., Feng, Q., Chen, W., Wei, W., & Deo, C. R. The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments. Journal of Hydrology, 2019, 569: 230-238.

11. Liu, W., Wei, W., Chen, W., Deo, C. R., Si, J., Xi, H., Li, B., & Feng, Q. The Impacts of Substrate and Vegetation on Stormwater Runoff Quality from Extensive Green Roofs. Journal of Hydrology, 2019, 576: 575-582.

12. Liu, W., Feng, Q., Wang, R., & Chen, W. Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region. Urban Forestry & Urban Greening, 2021, 65: 127331.

13. Liu, W., Feng, Q., Liang, Y., Cui, Y., Xu, L., Engel, A. B. Exploring spatiotemporal dynamics of urban flood socioeconomic exposure risk and driving factors under future precipitation change and urbanization scenarios. Journal of Environmental Management, 2025, 395: 127980.

14. Liu, W., Feng, Q., Zhang, X., Engel, A. B. Evaluating supply and demand relationship of urban flood regulation service and identifying priority areas for green infrastructure implementation in urban functional zones. International Journal of Disaster Risk Reduction, 2025, 126: 105640.

15. Zhang, X., Liu, W*., Feng, Q., & Zeng, J. Multi-objective optimization of the spatial layout of green infrastructures with cost-effectiveness analysis under climate change scenarios. Science of The Total Environment, 2024, 948: 174851.

16. Liu, W., Zhang, X., Feng, Q., Yu T., & Engel, A. B. Analyzing the impacts of topographic factors and land cover characteristics on waterlogging events in urban functional zones. Science of The Total Environment, 2023, 904: 166669.

17. Liu, W., Feng, Q., Engel, A. B., & Zhang, X. Cost-effectiveness analysis of extensive green roofs for urban stormwater control in response to future climate change scenarios. Science of The Total Environment, 2023, 856: 159127.