A novel flood risk map** approach with machine learning considering geomorphic and socio-economic vulnerability dimensions

P Deroliya, M Ghosh, MP Mohanty, S Ghosh… - Science of the Total …, 2022 - Elsevier
Quantifying flood hazards by employing hydraulic/hydrodynamic models for flood risk
map** is a widely implemented non-structural flood management strategy. However, the …

Sediment load prediction in Johor river: deep learning versus machine learning models

SD Latif, KL Chong, AN Ahmed, YF Huang… - Applied Water …, 2023 - Springer
Sediment transport is a normal phenomenon in rivers and streams, contributing significantly
to ecosystem production and preservation by replenishing vital nutrients and preserving …

Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm

F Di Nunno, G de Marinis, F Granata - Scientific Reports, 2023 - nature.com
In recent years, the growing impact of climate change on surface water bodies has made the
analysis and forecasting of streamflow rates essential for proper planning and management …

Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test

DK Vishwakarma, A Kuriqi, SA Abed, G Kishore… - Heliyon, 2023 - cell.com
Abstract Knowledge of the stage-discharge rating curve is useful in designing and planning
flood warnings; thus, develo** a reliable stage-discharge rating curve is a fundamental …

[HTML][HTML] A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction

MSG Adnan, ZS Siam, I Kabir, Z Kabir… - Journal of …, 2023 - Elsevier
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have
been carried out in recent years. While majority of those models produce reasonably …

An artificial neural networks approach and hybrid method with wavelet transform to investigate the quality of Tallo River, Indonesia

D Abdullah, K Gartsiyanova, M Qizi… - Caspian Journal of …, 2023 - cjes.guilan.ac.ir
Water contamination has always been one of the greatest intense environmental issues.
Rivers are more polluted than the other surface and underground water resources, since …

Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process

KL Chong, YF Huang, CH Koo, M Sherif… - Applied Water …, 2023 - Springer
Streamflow forecasting has always been important in water resources management,
particularly the peak flow, which often determines the seriousness of the impending flood …

On the capacity of ICESat-2 laser altimetry for river level retrieval: An investigation in the Ohio River basin

H Li, J Zhang, X Cai, H Huang, L Wang - Journal of Hydrology, 2023 - Elsevier
Abstract The Advanced Topographic Laser Altimeter System (ATLAS) onboard the Ice,
Cloud, and Land Elevation Satellite-2 (ICESat-2), with a footprint of 17 m and an along-track …

Hydrological evaluation of conservation bench terrace system in outer foothills of Himalayas using soft computing techniques

A Kumar, NK Sharma, BL Dhyani, M Kumar… - … of the Earth, Parts A/B/C, 2023 - Elsevier
Soil erosion has been problematic in the outer foothills of the Himalayas. Therefore, it is
necessary to implement suitable conservation measures to check erosion issues. The …

Alpine meadow patches unevenly regulate runoff and sediment yield generation on the Qinghai-Tibetan Plateau

Y Liu, D Wang, Z Cui, S Li, R Li, J Rodrigo-Comino… - Journal of …, 2023 - Elsevier
Meadow patches are caused by the fragmentation and disappearance of mattic epipedons,
and can serve as evidence of degradation. This is a gradual decline in meadow patch …