Parameters’ acquisition is a key step for the distributed hydrological model when simulating a basin. Based on remote sensing technology, this article proposed a parameters acquisition method of distributed hydrological model. That is extracting the important ground objects’ information from the images to obtain some parameters of the model. This article also used the hierarchical classificatio...

Large-scale hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important...

estimation of river sediment load is one of the most important issues in design of hydraulic structures, investigating water quality, conserving fish habitat, estimating erosion and determining watershed management effects. there are two methods for estimating sediment load: empirical and hydrological methods. existence of numerous empirical methods for estimation of river sediment load and a w...

The Shuttle Radar Topography Mission (SRTM) delivered a digital terrain model of better spatial resolution and accuracy than traditional free global DEM datasets at near-global coverage and made a wide range of detailed hydrologic applications feasible. In this study, the SRTM data is compared with the digitalized topographic contour DEM in hydrological analysis over the QingJiang catchment in ...

Hydrological models are created for a wide range of scales and intents. The Catchment Modelling Framework (CMF) extends the Python programming language with hydrology specific language elements, to setup specific hydrological models adapted to the scientific problems and the dominant flow processes of a particular study area. CMF provides a straightforward method to test hydrological theories a...

In this paper, a new method named MSSE-PSO (master–slave swarms shuffling evolution algorithm based on particle swarm optimization) is proposed. Firstly, a population of points is sampled randomly from the feasible space, and then partitioned into several sub-swarms (one master swarm and other slave swarms). Each slave swarm independently executes PSO or its variants, including the update of pa...

Reliable estimation of hydrological soil moisture state is of critical importance in operational hydrology to improve the flood prediction and hydrological cycle description. Although there have been a number of soil moisture products, they cannot be directly used in hydrological modelling. This paper attempts for the first time to build a soil moisture product directly applicable to hydrology ...

A hydrological ensemble prediction system is running operationally at the Royal Meteorological Institute of Belgium (RMI) for ten catchments in the Meuse basin. It makes use of the conceptual semi-distributed hydrological model SCHEME and the European Centre for Medium Range Weather Forecasts (ECMWF) ensemble prediction system (ENS). An ensemble of 51 discharge forecasts is generated daily. We ...

Theoretical Maximum Speedup Ratio (TMSR) can be used as a goal for 14 improving parallel computing methods for distributed hydrological models. Different 15 types of distributed hydrological models need different TMSR estimation methods 16 because of the different computing characteristics of models. Existing TMSR 17 estimation methods, such as those for sub-basin based distributed hydrological...