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...

Transboundary and cross-catchment access to hydrological data is the key to designing successful environmental policies and activities. Electronic maps based on distributed databases are fundamental for planning and decision making in all regions and for all spatial and temporal scales. Freshwater is an essential asset in New Zealand (and globally) and the availability as well as accessibility ...

Remote sensing data and information are shown great potential in supplying relevant spatial data and parameters at the appropriate scale for use in distributed hydrological models for water resource applications. In contrast with many conventional data normally represented by point measurements, remote sensing based measurements are spatially averages over the pixels can appropriate for distrib...

The increasing rate of the global surface temperature will have a significant impact on local hydrological regimes and water resources, which leads to the assessment of the climate change impacts. Main parameters that are closely related to the climate change are temperature and precipitation. Therefore, there is a growing need for an integrated analysis that can quantify the impacts of climate...

In the field of operational flood forecasting, uncertainties linked to hydrological forecast are often crucial. In this work, data assimilation techniques are employed to improve hydrological variable estimates coming from numerical simulations using all the available real-time water level measurements. The proposed assimilation scheme, a classical Kalman filter extension to non-linear systems,...

Damage due to flooding has increase in many countries in the last years, and due to the global climate change, which is now recognized as a real threat, an increase in the occurrence of flooding events and especially of flash flooding events is likely to continue into the future. In those conditions and because building new flood defences structures for defending vulnerable areas has serious fi...

Graph based algorithms play an important role in large-scale hydrological modelling. This article explains why graphs are required for hydrology and outlines the spatial data scale to create models anywhere in the continental United States (CONUS) using heterogeneous national data products. We discuss two resolutions (scales) at which graphs are created. The first represents level12 Hydrologica...

Application geographic information systems (GISs) and remote sensing integration to provide determination of runoff from watershed has performed increasingly attention in recent years. In this study, Natural Resources Conservation Service Curve Number (NRCS-CN) method was used to estimate Curve number according to the factors of hydrological soil group, land use, land treatment, drainage basin ...

The paper compares two independent approaches to estimate soil moisture at the regional scale over a 4625 km2 catchment (Liebenbergsvlei, South Africa). The first estimate is derived from a physically-based hydrological model (TOPKAPI). The second estimate is derived from the scatterometer on board the European Remote Sensing satellite (ERS). Results show a good correspondence between the model...

The quality of hydrological modelling is limited due to the restricted availability of high resolution temporal and spatial input data such as temperature, global radiation, and precipitation. Radar-based rain measurements provide good spatial information. On the other hand, using radar data is accompanied by basic difficulties such as clutter, shielding, variations of Z/R-relationships, beam-r...