• Publications
  • Influence
Multiobjective particle swarm optimization for parameter estimation in hydrology
[1] Modeling of complex hydrologic processes has resulted in models that themselves exhibit a high degree of complexity and that require the determination of various parameters through calibration.Expand
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Applicability of statistical learning algorithms in groundwater quality modeling
[1] Four algorithms are outlined, each of which has interesting features for predicting contaminant levels in groundwater. Artificial neural networks (ANN), support vector machines (SVM), locallyExpand
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Multi-time scale stream flow predictions: The support vector machines approach
TLDR
We present new data-driven models based on Statistical Learning Theory that were used to forecast flows at two time scales: seasonal flow volumes and hourly stream flows. Expand
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Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature
[1] A time series simulation scheme based on wavelet decomposition coupled to an autoregressive model is presented for hydroclimatic series that exhibit band-limited low-frequency variability. ManyExpand
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Sparse Bayesian learning machine for real‐time management of reservoir releases
[1] Water scarcity and uncertainties in forecasting future water availabilities present serious problems for basin-scale water management. These problems create a need for intelligent predictionExpand
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Multiobjective analysis of chaotic dynamic systems with sparse learning machines
Sparse learning machines provide a viable framework for modeling chaotic time-series systems. A powerful state-space reconstruction methodology using both support vector machines (SVM) and relevanceExpand
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Bayesian Deduction for Redundancy Detection in Groundwater Quality Monitoring Networks
TLDR
A new methodology for designing a network for monitoring ambient, long-term groundwater quality is presented in this paper. Expand
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El Niño–Southern Oscillation–based index insurance for floods: Statistical risk analyses and application to Peru
Received 23 June 2006; revised 18 June 2007; accepted 3 July 2007; published 17 October 2007. [1] Index insurance has recently been advocated as a useful risk transfer tool for disaster managementExpand
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The future nexus of the Brahmaputra River Basin: Climate, water, energy and food trajectories
Abstract Advance knowledge of conflicting trajectories of water–energy–food (WEF) nexus is highly relevant for water policy and planning, especially for basins that cross national boundaries. TheExpand
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Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change
This study tests the performance and uncertainty of calibration strategies for a spatially distributed hydrologic model in order to improve model simulation accuracy and understand predictionExpand
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