[图书][B] The science of water: concepts and applications

FR Spellman - 2020 - taylorfrancis.com
The Science of Water: Concepts and Applications, Fourth Edition, contains a wealth of
scientific information and is based on real-world experience. Building on the third edition …

An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

MB Kia, S Pirasteh, B Pradhan, AR Mahmud… - Environmental earth …, 2012 - Springer
Flooding is one of the most destructive natural hazards that cause damage to both life and
property every year, and therefore the development of flood model to determine inundation …

Updating the neural network sediment load models using different sensitivity analysis methods: a regional application

R Asheghi, SA Hosseini, M Saneie… - Journal of …, 2020 - iwaponline.com
The amount of transported sediment load by streams is a vital but high nonlinear dynamic
process in water resources management. In the current paper, two optimum predictive …

[图书][B] Fractional operators with constant and variable order with application to geo-hydrology

A Atangana - 2017 - books.google.com
Fractional Operators with Constant and Variable Order with Application to Geo-hydrology
provides a physical review of fractional operators, fractional variable order operators, and …

A downward structural sensitivity analysis of hydrological models to improve low-flow simulation

R Pushpalatha, C Perrin, N Le Moine, T Mathevet… - Journal of …, 2011 - Elsevier
Better simulation and earlier prediction of river low flows are needed for improved water
management. Here, a top–down structural analysis to improve a hydrological model in a low …

An efficient integrated approach for global sensitivity analysis of hydrological model parameters

C Zhan, X Song, J Xia, C Tong - Environmental Modelling & Software, 2013 - Elsevier
Efficient sensitivity analysis, particularly for the global sensitivity analysis (GSA) to identify
the most important or sensitive parameters, is crucial for understanding complex …

[HTML][HTML] Runoff forecasting by artificial neural network and conventional model

AR Ghumman, YM Ghazaw, AR Sohail… - Alexandria Engineering …, 2011 - Elsevier
Rainfall runoff models are highly useful for water resources planning and development. In
the present study rainfall–runoff model based on Artificial Neural Networks (ANNs) was …

Robust subsampling ANOVA methods for sensitivity analysis of water resource and environmental models

F Wang, GH Huang, Y Fan, YP Li - Water Resources Management, 2020 - Springer
Sensitivity analysis is an important component for modelling water resource and
environmental processes. Analysis of Variance (ANOVA), has been widely used for global …

WetSpa model application for assessing reforestation impacts on floods in Margecany–Hornad Watershed, Slovakia

A Bahremand, F De Smedt, J Corluy, YB Liu… - Water Resources …, 2007 - Springer
The spatially distributed hydrologic model WetSpa working on a daily or hourly time scale
combines elevation, soil and landuse data within GIS, to predict flood hydrographs and …

Identification of sensitive parameters in daily and monthly hydrological simulations in small to large catchments in Central India

A Singh, SK Jha - Journal of Hydrology, 2021 - Elsevier
Hydrological models have many parameters representing various hydrological processes.
These parameters are effective at different spatial and temporal resolution. Most of the …