Improving Global Reservoir Parameterizations by Incorporating Flood Storage Capacity Data and Satellite Observations

Shen, Y., Yamazaki, D., Pokhrel, Y., Zhao, G.

Water Resources Research   61 ( 1 )   2025

Benchmark Framework for Global River Models

Zhou, X., Yamazaki, D., Revel, M., Zhao, G., Modi, P.

Journal of Advances in Modeling Earth Systems   17 ( 3 )   2025

Exploration of the spatiotemporal characteristics and triggering factors of flash flood in China

Luo, L., Wang, Y., Li, Q., Li, M., Wang, J., Zhao, G., Ma, M.

Ecological Indicators   176   2025

Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost)

Hancheng Ren, Bo Pang, Ping Bai, Gang Zhao, Shu Liu, Yuanyuan Liu, Min Li

Remote Sensing   2024.1

Regional variation in the role of humidity on city-level heat-related mortality

Guo, Q., Mistry, M.N., Zhou, X., Zhao, G., Kino, K., Wen, B., Cvijanovic, I., Yoshimura, K., Satoh, Y., Kim, Y., d Ng, C.F.S., Vicedo-Cabrera, A.M., Armstrong, B., Katsouyanni, K., Masselot, P., Urban, A., Tong, S., Sera, F., Huber, V., Bell, M.L., Gasparrini, A., Kysel?, J., Hashizume, M., Oki, T., Abrutzky, R., Guo, Y., de Sousa Zanotti Stagliorio Coelho, M., Saldiva, P.H.N., Lavigne, E., Ortega, N.V., Correa, P.M., Kan, H., Osorio, S., Roye, D., Indermitte, E., Orru, H., Jaakkola, J.J., Ryti, N., Pascal, M., Schneider, A., Analitis, A., Entezari, A., Mayvaneh, F., Zeka, A., Goodman, P., de?Donato, F., Michelozzi, P., Alahmad, B., De la Cruz Valencia, C., Diaz, M.H., Overcenco, A., Ameling, C., Houthuijs, D., Rao, S., Carrasco, G., Seposo, X., Madureira, J., das Neves Pereira, da Silva, S., Holobaca, I.-H., Acquaotta, F., Scovronick, N., Kim, H., Lee, W., Tobias, A., n}iguez, C., Forsberg, B., Ragettli, M.S., Pan, S.-C., Guo, Y.L., Li, S., Schneider, R., Colistro, V., Zanobetti, A., Schwartz, J., Van Dung, D., Dang, T.N., Honda, Y.

Pnas Nexus   3 ( 8 )   2024

Scaling from global to regional river flow with global hydrological models: Choice matters

Tu, T., Wang, J., Zhao, G., Zhao, T., Dong, X.

Journal of Hydrology   633   2024

Where in the World Are Vegetation Patterns Controlled by Hillslope Water Dynamics?

Li, S., Yamazaki, D., Zhou, X., Zhao, G.

Water Resources Research   60 ( 4 )   2024

How Does Heavy Precipitation of Varying Durations Respond to Urbanization in China?

Xie, X., Lin, K., Xiao, M., Zhou, X., Zhao, G., Yamazaki, D.

Earth S Future   12 ( 7 )   2024

A Convolutional Neural Network-Weighted Cellular Automaton Model for the Fast Prediction of Urban Pluvial Flooding Processes

Yang, J., Liu, K., Wang, M., Zhao, G., Wu, W., Yue, Q.

International Journal of Disaster Risk Science   15 ( 5 )   2024

An urban hydrological model for flood simulation in piedmont cities: Case study of Jinan City, China

Yanjun Zhao, Jun Xia, Zongxue Xu, Yunfeng Qiao, Gang Zhao, Haoyue Zhang

Journal of Hydrology   625   130040 - 130040   2023.10

Flood Defense Standard Estimation Using Machine Learning and Its Representation in Large‐Scale Flood Hazard Modeling

Gang Zhao, Paul D. Bates, Jeff Neal, Dai Yamazaki

Water Resources Research   59 ( 5 )   2023.5

Design flood estimation for global river networks based on machine learning models

Gang Zhao, Paul D Bates, Jeff Neal, Pang Bo

Hydrology and Earth System Sciences   25   2021.11

Urban flood susceptibility assessment based on convolutional neural networks

Gang Zhao, Bo Pang, Zongxue Xu, Dingzhi Peng, Depeng Zuo

Journal of Hydrology   590   2020.11

Uncertainty Assessment of Urban Hydrological Modelling from a Multiple Objective Perspective

Bo Pang, Shulan Shi, Gang Zhao, Rong Shi, Dingzhi Peng, Zhongfan Zhu

Water   2020.5

Modelling the Vegetation Response to Climate Changes in the Yarlung Zangbo River Basin Using Random Forest

Kaige Chi, Bo Pang, Lizhuang Cui, Dingzhi Peng, Zhongfan Zhu, Gang Zhao, Shulan Shi

Water   2020.5

The impact of dams on design floods in the Conterminous US

Gang Zhao, Paul D Bates, Jeff Neal

Water Resources Research   56 ( 3 )   2020.3

A hybrid machine learning framework for real-time water level prediction in high sediment load reaches

Gang Zhao, Bo Pang, Zongxue Xu, Liyang Xu

Journal of Hydrology   581   2020.2

An enhanced inundation method for urban flood hazard mapping at the large catchment scale

Gang Zhao, Zongxue Xu, Bo Pang, Tongbi Tu, Liyang Xu, Longgang Du

Journal of Hydrology   571   873 - 882   2019.4

Flash Flood Risk Analysis Based on Machine Learning Techniques in the Yunnan Province, China

Meihong Ma, Changjun Liu, Gang Zhao, Hongjie Xie, Pengfei Jia, Dacheng Wang, Huixiao Wang, Yang Hong

Remote Sensing   2019.1

Assessment of urban flood susceptibility using semi-supervised machine learning model

Zhao, G., Pang, B., Xu, Z., Peng, D., Xu, L.

Science of the Total Environment   659   940 - 949   2019

Sensitivity analysis of correlated outputs and its application to a dynamic model

Liyang Xu, Zhenzhou Lu, Luyi Li, Shi Yan Shi, Gang Zhao

Environmental Modelling and Software   105   39 - 53   2018.7

Multiple time scale analysis of sediment and runoff changes in the Lower Yellow River

Kaige Chi, Zhao Gang, Bo Pang, Ziqian Huang

Proceedings of the International Association of Hydrological Sciences   379   357 - 362   2018.6

Mapping flood susceptibility in mountainous areas on a national scale in China

Gang Zhao, Bo Pang, Zongxue Xu, Jiajia Yue, Tongbi Tu

Science of the Total Environment   615   1133 - 1142   2018.2

Estimation of urban flooding processes based on enhanced inundation model,基于改进填洼模型的城市洪涝灾害计算方法

Zhao, G., Xu, Z., Pang, B., Jiang, Q., Meng, D.

Shuikexue Jinzhan/Advances in Water Science   29 ( 1 )   2018

Statistical Downscaling of Temperature with the Random Forest Model

Pang, B., Yue, J., Zhao, G., Xu, Z.

Advances in Meteorology   2017   2017

Impact of rapid urbanization on rainfall-runoff processes in urban catchment: Case study for Liangshui River basin

Zhao, G., Shi, R., Pang, B., Xu, Z., Du, L., Chang, X.

Shuili Fadian Xuebao/Journal of Hydroelectric Engineering   35 ( 5 )   2016

Urban rainfall-runoff simulations and assessment of low impact development facilities using SWMM model-A case study of Qinghe catchment in Beijing

Chang, X., Xu, Z., Zhao, G., Du, L.

Shuili Fadian Xuebao/Journal of Hydroelectric Engineering   35 ( 11 )   2016

Assessment on the hazard of flash flood disasters in China

Zhao, G., Pang, B., Xu, Z., Wang, Z., Shi, R.

Shuili Xuebao/Journal of Hydraulic Engineering   47 ( 9 )   2016