Flood forecasting scheme of Nanshui reservoir based on Liuxihe model
Tropical Cyclone Research and Review, 2021 China experiences one of the most frequent flood disasters in the world. Establishing accurate and reliable flood prediction program is the key to deal with flood disasters.
Feng Zhou +4 more
doaj +4 more sources
Water, 2023 Because of differences in the underlying surface, short flood confluence times, extreme precipitation, and other dynamic parameters, it is difficult to forecast an inflow flood to a basin reservoir, and traditional hydrological models do not achieve the forecast accuracy required for flood control operations.
Yanjun Zhao +3 more
exaly +5 more sources
Application and Research of Liuxihe Model in the Simulation of Inflow Flood at Zaoshi Reservoir
Sustainability, 2023 Floods occur frequently in China, and watershed floods are caused mainly by intensive rainfall, but the spatial distribution of this rainfall is often very uneven. Thus, a watershed hydrological model that enables a consideration of a heterogeneous spatial distribution of rainfall is needed.
Yanzheng Zhu +4 more
exaly +4 more sources
Study of Flood Simulation in Small and Medium-Sized Basins Based on the Liuxihe Model
Sustainability, 2023 The uneven distribution of meteorological stations in small and medium-sized watersheds in China and the lack of measured hydrological data have led to difficulty in flood simulation and low accuracy in flood forecasting. Traditional hydrological models no longer achieve the forecasting accuracy needed for flood prevention.
Jingyu Li +3 more
exaly +4 more sources
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model [PDF]
Hydrology and Earth System Sciences, 2019 In general, there are no long-term meteorological or hydrological data available for karst river basins. The lack of rainfall data is a great challenge that hinders the development of hydrological models. Quantitative precipitation estimates (QPEs) based
J. Li +7 more
doaj +6 more sources
Study of Beijiang catchment flash-flood forecasting model [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 Beijiang catchment is a small catchment in southern China locating in the centre of the storm areas of the Pearl River Basin. Flash flooding in Beijiang catchment is a frequently observed disaster that caused direct damages to human beings and their ...
Y. Chen, J. Li, S. Huang, Y. Dong
doaj +3 more sources
Remote Sensing-Supported Flood Forecasting of Urbanized Watersheds—A Case Study in Southern China
Remote Sensing, 2022 Urbanization has significant impacts on watershed hydrology, but previous studies have been confirmatory and not comprehensive; in particular, few studies have addressed the impact of urbanization on flooding in highly urbanized watersheds. In this study,
Yu Gu +3 more
doaj +3 more sources
Comparing the performances of WRF QPF and PERSIANN-CCS QPEs in karst flood simulations and forecasting with a new Karst-Liuxihe model [PDF]
Frontiers of Earth Science, 2019 Abstract. Long-term, available rainfall data are very important for karst flood simulations and forecasting. However, in karst areas, there is often a lack of effective precipitation available to build distributed hydrological models. Forecasting karst floods is highly challenging.
Li Ji +5 more
core +5 more sources
Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization [PDF]
Hydrology and Earth System Sciences, 2016 Physically based distributed hydrological models (hereafter referred to as PBDHMs) divide the terrain of the whole catchment into a number of grid cells at fine resolution and assimilate different terrain data and precipitation to different cells.
Y. Chen, J. Li, H. Xu
doaj +5 more sources
Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model [PDF]
Hydrology and Earth System Sciences, 2017 Long lead time flood forecasting is very important for large watershed flood mitigation as it provides more time for flood warning and emergency responses.
J. Li +5 more
doaj +5 more sources