This paper presents a Wavelet-based Artificial Neural Network (WANN) approach to model
rainfall-runoff process of the Delaney Creek and Payne Creek watersheds with distinct hydro …

In this paper, wavelet transform coherence is implemented to examine the impacts of
hydroclimatological variables on water level fluctuations in two large saline lakes in the …

In this study, the hybrid particle swarm optimization (HPSO) algorithm was proposed and
practised for the calibration of two conceptual rainfall–runoff models (dynamic water balance …

River basins located in the Central Sudetes (SW Poland) demonstrate a high vulnerability to
flooding. Four mountainous basins and the corresponding outlets have been chosen for …

Cultivated land is a basic resource that is related to the sustainable development of the
global economy and society. Studying the spatial and temporal distribution of cultivated land …

Digital elevation model (DEM) resolution and the assigned threshold for river network
delineation affect the results of rainfall-runoff models. In this study, the effects of these 2 …

Multi-site optimization of two adapted event-based geomorphologic rainfall-runoff models
was presented using Non-dominated Sorting Genetic Algorithm (NSGA-II) method for the …

Study region The methods explored in this study were tested in two study areas: Italy and
Cuba. Study focus Virtually all Digital Elevation Models (DEM) contain flat areas or …

The accurate estimation of terrain characteristics is central in rainfall runoff modelling. In this
study, influences of Digital Elevation Models (DEMs) obtained from different sources …

Geodiversity, a relatively new concept in earth sciences, synthesizes information related to
abiotic layers and indicates their spatial interactions and interrelations. Geodiversity has …