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Identification,verification and validation of process models in wastewater engineering:a critical review
Identification verification validation process models wastewater engineering
2009/12/4
This article presents a critical review of the existing methodologies for process mathematical modelling in the area of wastewater engineering. It is argued that model identifiability is not a major i...
Identification of support vector machines for runoff modelling
Identification support vector machines runoff modelling
2009/12/4
This paper describes an exploration in using SVM (Support Vector Machine) models, which were initially developed in the Machine Learning community, in flood forecasting, with the focus on the identifi...
Spatial Rainfall Pattern Identification by Optimum Interpolation Technique and Application for Turkey
Spatial Rainfall Pattern Optimum Interpolation Technique Application
2009/10/23
The spatial interpolation of hydrometeorological data aims at estimating the value
of rainfall at a given site based on the observation at neighboring stations.
This is a problem of operational hydr...
A STOCHASTIC MODEL FOR IDENTIFICATION OF TRENDS IN OBSERVED HYDROLOGICAL AND METEOROLOGICAL DATA DUE TO CLIMATE CHANGE IN WATERSHEDS
climate change STOCHASTIC MODEL natural processes
2009/10/12
The development of appropriate public policy responses to the impact of climate change on the overall ecosystem would require knowledge of future trends in the natural processes affecting the ecosyste...
Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation
regional sensitivity analysis parameter estimation software analysis of variance
2009/5/7
This study seeks to identify sensitivity tools that will advance our understanding of lumped hydrologic models for the purposes of model improvement, calibration efficiency and improved measurement sc...
Identification of stakeholder perspectives on future flood management in the Rhine basin using Q methodology
stakeholder perspectives Rhine basin future flood management
2009/5/4
This article identifies different stakeholder perspectives on future flood management in the downstream parts of the Rhine basin in Germany and The Netherlands. The perspectives were identified using ...
Towards model evaluation and identification using Self-Organizing Maps
Self-Organizing Map Shuffled Complex Evolution
2009/4/29
The reduction of information contained in model time series through the use of aggregating statistical performance measures is very high compared to the amount of information that one would like to dr...
Identification of a change in climate state using regional flood data
Floods flood frequency climate variability
2009/3/17
Flood frequency analysis typically assumes that annual floods arise from a single distribution and are independent. However, there is significant evidence for the existence of persistent climate modes...
A non-parametric hidden Markov model for climate state identification
Hidden Markov models non-parametric two-state model
2009/3/12
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assump...
Integration of spatial datasets to support the review of hydrometric networks and the identification of representative catchments
spatial information Geographical Information System hydrometry network management network rationalisation
2009/3/11
The rapidly growing demand for river flow data has increased pressure on hydrometric monitoring programmes to match a wide range of application-focused information needs, in particular, the identifica...