River water prediction modeling using neural networks, fuzzy and wavelet coupled model

KS Parmar, R Bhardwaj - Water resources management, 2015 - Springer
In this paper, new prediction model introduced by coupling of neural networks model, fuzzy
model and wavelet model for the water resources management. Artificial neural network …

Machine learning models for spring discharge forecasting

F Granata, M Saroli, G de Marinis, R Gargano - Geofluids, 2018 - Wiley Online Library
Nowadays, drought phenomena increasingly affect large areas of the globe; therefore, the
need for a careful and rational management of water resources is becoming more pressing …

Statistical, time series, and fractal analysis of full stretch of river Yamuna (India) for water quality management

KS Parmar, R Bhardwaj - Environmental Science and Pollution Research, 2015 - Springer
River water is a major resource of drinking water on earth. Management of river water is
highly needed for surviving. Yamuna is the main river of India, and monthly variation of water …

Influence of slip-surface geometry on earth-flow deformation, Montaguto earth flow, southern Italy

L Guerriero, JA Coe, P Revellino, G Grelle, F Pinto… - Geomorphology, 2014 - Elsevier
We investigated relations between slip-surface geometry and deformational structures and
hydrologic features at the Montaguto earth flow in southern Italy between 1954 and 2010 …

Flood hazard of major river segments, Benevento Province, Southern Italy

L Guerriero, M Focareta, G Fusco, R Rabuano… - Journal of …, 2018 - Taylor & Francis
ABSTRACT On 15 October 2015, a storm-induced flood hit the central sector of Benevento
Province (southern Italy) causing two deaths and severe damage to infrastructure, buildings …

Machine learning for predicting discharge fluctuation of a karst spring in North China

S Cheng, X Qiao, Y Shi, D Wang - Acta Geophysica, 2021 - Springer
The quantitative analyses of karst spring discharge typically rely on physical-based models,
which are inherently uncertain. To improve the understanding of the mechanism of spring …

[HTML][HTML] A fully connected neural network (FCNN) model to simulate karst spring flowrates in the Umbria region (Central Italy)

FM De Filippi, M Ginesi, G Sappa - Water, 2024 - mdpi.com
In the last decades, climate change has led to increasingly frequent drought events within
the Mediterranean area, creating an urgent need of a more sustainable management of …

Evaluation of minimum karst spring discharge using a simple rainfall-input model: The case study of Capodacqua di Spigno Spring (Central Italy)

G Sappa, FM De Filippi, S Iacurto, G Grelle - Water, 2019 - mdpi.com
The increasing occurrence of widespread drought phenomena is a global environmental
emergency, especially for the effects of ongoing climate change on groundwater availability …

[HTML][HTML] A parsimonious model for springs discharge reconstruction and forecast for drought management: Lessons from a case study in Central Italy

N Guyennon, S Passaretti, C Mineo, E Boscariol… - Journal of Hydrology …, 2024 - Elsevier
Study region Karst springs located in Central Apennine ridge (Central Italy), in the Tiber
River basin. Study focus The assessment of water availability is a key issue in a water …

Structural and lithostratigraphic controls of earth-flow evolution, Montaguto earth flow, Southern Italy

F Pinto, L Guerriero, P Revellino, G Grelle… - Journal of the …, 2016 - lyellcollection.org
This paper aims to define the control exerted by geological setting on the evolution and
segmentation of the Montaguto earth flow in Southern Italy. A detailed geological survey and …