Articles | Volume 379
https://doi.org/10.5194/piahs-379-223-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-379-223-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling the ability of source control measures to reduce inundation risk in a community-scale urban drainage system
Chao Mei
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
Engineering and Technology Research Center for Water resources and
Hydroecology of the Ministry of Water Resources, Beijing 100044, China
Hao Wang
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
Engineering and Technology Research Center for Water resources and
Hydroecology of the Ministry of Water Resources, Beijing 100044, China
Weiwei Shao
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
Lin Xia
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
Chenyao Xiang
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
Jinjun Zhou
China Institute of Water Resources and Hydropower Research, State Key
Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Beijing
100038, China
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This study presents an experimental framework (EF-SPM) to disentangle and evaluate the benefits of spatially explicit parameterization and multi-gauge calibration in distributed hydrological modelling. Experiments in a nested catchment show that both strategies consistently improve streamflow simulations across sub-basins, jointly alleviating multi-objective competition and the trade-off between spatial complexity and parameter identifiability.
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With global warming and urbanization accelerating, urban flooding is becoming more severe. Real-time forecasting plays a key role in disaster mitigation, but traditional hydrodynamic models are too resource-intensive for timely prediction. Machine learning models offer high efficiency but often lack accuracy in simulating spatiotemporal flood dynamics. This study proposes a new data-driven model, which performs well in a flood-prone area of Macao.
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Water budget non-closure is a widespread phenomenon among multisource datasets which undermines the robustness of hydrological inferences. This study proposes a Multisource Dataset Correction Framework grounded in Physical Hydrological Process Modelling to enhance water budget closure, termed PHPM-MDCF. We examined the efficiency and robustness of the framework using the CAMELS dataset and achieved an average reduction of 49 % in total water budget residuals across 475 CONUS basins.
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Considering the impact of the special geological and climatic conditions of the Qinghai–Tibet Plateau on the hydrological cycle, this study established the WEP-QTP hydrological model. The snow cover and gravel layers affected the temporal and spatial changes in frozen soil and improved the regulation of groundwater on the flow process. Ignoring he influence of special underlying surface conditions has a great impact on the hydrological forecast and water resource utilization in this area.
Pengxiang Wang, Zuhao Zhou, Jiajia Liu, Chongyu Xu, Kang Wang, Yangli Liu, Jia Li, Yuqing Li, Yangwen Jia, and Hao Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-538, https://doi.org/10.5194/hess-2021-538, 2021
Manuscript not accepted for further review
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Combining the geological characteristics of the thin soil layer on the thick gravel layer and the climate characteristics of the long-term snow cover of the Qinghai-Tibet Plateau, the WEP-QTP hydrological model was constructed by dividing a single soil structure into soil and gravel. In contrast to the general cold area, the special environment of the Qinghai–Tibet Plateau affects the hydrothermal transport process, which can not be ignored in hydrological forecast and water resource assessment.
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