Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model

RM Adnan, A Petroselli, S Heddam… - … Research and Risk …, 2021 - Springer
The applicability of four machine learning (ML) methods, ANFIS-PSO, ANFIS-FCM, MARS
and M5Tree, together with multi model simple averaging (MM-SA) ensemble method, is …

[HTML][HTML] Influence of meteorological drought on environmental flows in mountain catchments

D Młyński, A Wałęga, A Kuriqi - Ecological Indicators, 2021 - Elsevier
This study investigates the course of atmospheric drought to the response of the water
resources availability taking into account the constraints arising from the need to maintain …

Flood inundation mapping in small and ungauged basins: sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach

M Vojtek, A Petroselli, J Vojteková… - Hydrology …, 2019 - iwaponline.com
Flood mapping is an important part of flood risk analysis and management as its result is the
visualization of flood hazard in terms of flood depth and extent. However, flood mapping …

Comparing machine-learning-based black box techniques and white box models to predict rainfall-runoff in a northern area of Iraq, the Little Khabur River

BT Sayed, HK Al-Mohair, A Alkhayyat… - Water Science & …, 2023 - iwaponline.com
The rainfall-runoff process is one of the most complex hydrological phenomena. Estimating
runoff in the basin is one of the main conditions for planning and optimal use of rainfall …

[HTML][HTML] Assessment of flood prone zones in the Tarkwa mining area of Ghana using a GIS-based approach

BK Osei, I Ahenkorah, A Ewusi, EB Fiadonu - Environmental Challenges, 2021 - Elsevier
Flood is one of the most imperious natural hazards that can cause economic damages to
infrastructures and natural ecosystems. In view of the extensive mining activities in the …

An adaptive ensemble framework for flood forecasting and its application in a small watershed using distinct rainfall interpolation methods

Y Xu, Z Jiang, Y Liu, L Zhang, J Yang, H Shu - Water Resources …, 2023 - Springer
Runoff prediction has a pivotal role in the flood warning system. For mountainous small-
sized watersheds, establishing a reliable and efficient model to forecast flood is multifarious …

Estimating maximum daily precipitation in the upper Vistula basin, Poland

D Młyński, A Wałęga, A Petroselli, F Tauro, M Cebulska - Atmosphere, 2019 - mdpi.com
The aim of this study was to determine the best probability distributions for calculating the
maximum annual daily precipitation with the specific probability of exceedance (Pmaxp%) …

Flood risk evaluation in ungauged coastal areas: The case study of Ippocampo (Southern Italy)

C Apollonio, MF Bruno, G Iemmolo, MG Molfetta… - Water, 2020 - mdpi.com
The growing concentration of population and the related increase in human activities in
coastal areas require numerical simulations to analyze the effects of flooding events that …

Flood mapping in small ungauged basins: a comparison of different approaches for two case studies in Slovakia

A Petroselli, M Vojtek, J Vojteková - Hydrology Research, 2019 - iwaponline.com
Flood mapping is a crucial element of flood risk management. In small and ungauged
basins, empirical and regionalization approaches are often adopted to estimate the design …

Assessing the predictability of an improved ANFIS model for monthly streamflow using lagged climate indices as predictors

M Ehteram, HA Afan, M Dianatikhah, AN Ahmed… - Water, 2019 - mdpi.com
The current study investigates the effect of a large climate index, such as NINO3, NINO3. 4,
NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin (Iran) based on an …