Flood forecasting scheme of Nanshui reservoir based on Liuxihe model
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
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.
Zhao, Yanjun +3 more
exaly +4 more sources
Application and Research of Liuxihe Model in the Simulation of Inflow Flood at Zaoshi Reservoir
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.
Zhu, Yanzheng +4 more
exaly +4 more sources
Study of Flood Simulation in Small and Medium-Sized Basins Based on the Liuxihe Model
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.
Li, Jingyu +3 more
exaly +4 more sources
Environmental-related variation of stoichiometric traits in body and organs of non-native sailfin catfishes Pterygoplichthys spp. [PDF]
We found sailfin catfishes can exhibit considerable variation in stoichiometric traits in response to the environmental dynamics of the invaded rivers. Water chemistry contributed to the most of variation of stoichiometric traits of sailfin catfishes.
Wei H, Liang Y, Luo Q, Gu D, Mu X, Hu Y.
europepmc +2 more sources
Quantitatively Simulating Flood Processes Under Different Karst Landforms and Water‐Bearing Media
Landforms and water‐bearing media in karst regions greatly influence the patterns of hydrological processes (runoff generation and confluence) and water circulation, resulting in notable differences in the formation and propagation of flood processes ...
Ji Li +4 more
doaj +2 more sources
Remote Sensing-Supported Flood Forecasting of Urbanized Watersheds—A Case Study in Southern China
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 +1 more source
Flash flood modeling in the data-poor basin: A case study in Matina River Basin
Forecasting flooding hazards is a very effective non-engineering measure for flood control. Presently, the commonly used forecasting method in simulating flash flood events is through a watershed hydrological model.
Rhonalyn V. Macalalad +6 more
doaj +1 more source
Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization [PDF]
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 +1 more source
Comparing the performances of WRF QPF and PERSIANN-CCS QPEs in karst flood simulations and forecasting with a new Karst-Liuxihe model [PDF]
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
openaire +3 more sources

