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Integrating Multiple Sources of Information for Improving Hydrological Modelling

significantly, creating a situation that today, for the same variable, estimates may be available from two or more sources of information. Yet;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

application of modular modelling and fuzzy committee models to the problem of downscaling weather information for hydrological forecasting. The;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

forecasting. The application of modular modelling and fuzzy committee models to the problem of downscaling weather information for hydrological;

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Spatiotemporal Analysis of Extreme Hydrological Events

developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio;

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Scale Issues in Hydrological Modelling

There is a growing need for appropriate models which address the management of land and water resources and ecosystems at large space and;

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Catchment Hydrological Modelling

Catchment Hydrological Modelling: The Science and Art covers various methods (and equations) for modeling all components of a CHM;

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Hydrological Drought Forecasting in Africa at Different Spatial and Temporal Scales

modelling framework for hydrological drought forecasting in sub-Saharan Africa as a step towards an effective early warning system. The proposed;

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Hydrological Drought Forecasting in Africa at Different Spatial and Temporal Scales

modelling framework for hydrological drought forecasting in sub-Saharan Africa as a step towards an effective early warning system. The proposed;

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Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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Multi-scale Spectral Analysis in Hydrology

Accurate prediction of hydrological variables is essential for efficient water resources planning and management. Proper understanding;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

for an increase in prediction accuracy. Catchments in Nepal, UK and USA are used as case studies. In flood modelling hydrological models;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

for an increase in prediction accuracy. Catchments in Nepal, UK and USA are used as case studies. In flood modelling hydrological models;

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Handbook of Engineering Hydrology

, regionalization of hydrological extreme events, remote sensing data and information for hydrological monitoring and modeling Application of copulas;

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Integrating Business Process Models and Rules

neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended;

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Drainage Basins & Catchment Management

importance of viable but non-culturable bacteria in monitoring microbial water quality; regionalising hydrological soil properties in the Brazilian;

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Machine Learning Methods in the Environmental Sciences

appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password;

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Machine Learning Methods in the Environmental Sciences

appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password;

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Value Of Information In The Earth Sciences

Gathering the right kind and the right amount of information is crucial for any decision-making process. This book presents a unified;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Improved Hydrological Understanding of a Semi-Arid Subtropical Transboundary Basin Using Multiple Techniques - The Incomati River Basin

This study aims at improving the hydrological process understanding of the semi-arid and transboundary Incomati river basin to enable;

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Hydrologic Remote Sensing

Environmental remote sensing plays a critical role in observing key hydrological components such as precipitation, soil moisture;

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From Building Information Modelling to Mixed Reality

both as multidimensional databases - as comprehensive sources of information for finalizing various types of documentation in the building;

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Hydroinformatics

Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing;

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Hydroinformatics

Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing;

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