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Inverse Mapping for Rainfall-Runoff Models using History Matching Approach

TLDR
This paper proposes to apply a history matching approach for calibrating these hydrological models, which also gives better insights for improved management of these systems.
Abstract
In this paper, we consider two rainfall-runoff computer models. The first model is Matlab-Simulink model which simulates runoff from windrow compost pad (located at the Bioconversion Center in Athens, GA) over a period of time based on rainfall events. The second model is Soil Water Assessment Tool (SWAT) which estimates surface runoff in the Middle Oconee River in Athens, GA. The input parameter spaces of both models are sensitive and high dimensional, the model output for every input combination is a time-series of runoff, and these two computer models generate a wide spectrum of outputs including some that are far from reality. In order to improve the prediction accuracy, in this paper we propose to apply a history matching approach for calibrating these hydrological models, which also gives better insights for improved management of these systems.

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Citations
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Book ChapterDOI

Statistical Modelling and Analysis of the Computer-Simulated Datasets

TL;DR: This chapter focuses on the modelling and analysis of data arising from computer simulators, and presents a few generalizations of the GP model, and reviews methods, and algorithms specifically developed for analyzing big data obtained from computer model runs.
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Design and Analysis of Complex Computer Models

TL;DR: This chapter presents a review of some state-of-the-art statistical tech-1 niques for analyzing real computer experiments which play a significant role in variousScientific research and industrial applications and provides a practical tutorial on how to construct space- filling designs and GP emulators.
References
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Journal ArticleDOI

Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT

TL;DR: In this paper, the authors used the SWAT (Soil and Water Assessment Tool) to simulate all related processes affecting water quantity, sediment, and nutrient loads in the Thur River basin, which is a direct tributary to the Rhine.
Journal ArticleDOI

Designs for Computer Experiments

TL;DR: The issues of choice of stochastic-process model and computation of efficient designs are addressed, and applications are made to some chemical kinetics problems.
Journal ArticleDOI

Advances in the application of the SWAT model for water resources management

TL;DR: In this article, the authors describe the use of radar rainfall data in distributed hydrologic studies and the potential of SWAT for application in flood analysis and prediction for water resources management.
Journal ArticleDOI

Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision

TL;DR: In this article, a quantile-based criterion for the sequential design of experiments, in the fashion of the classical expected improvement criterion, which allows an elegant treatment of heterogeneous response precisions, is proposed.
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