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Water 2018, 10(9), 1235; https://doi.org/10.3390/w10091235

Regression Approaches for Hydrograph Separation: Implications for the Use of Discontinuous Electrical Conductivity Data

1
Department of Civil Engineering, University of Salerno, 84084 Fisciano (SA), Italy
2
CUGRIā€”InterUniversity Centre for the Prediction and Prevention of Major Hazards, 84084 Fisciano (SA), Italy
*
Author to whom correspondence should be addressed.
Received: 6 August 2018 / Revised: 5 September 2018 / Accepted: 6 September 2018 / Published: 13 September 2018
(This article belongs to the Section Hydrology)
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Abstract

Understanding of runoff generation mechanisms affects the ability to manage streamflow quantity and quality issues. Concerning the baseflow in particular, measurements are almost never available and hydrograph separation is generally applied to characterize its relevant patterns. As an alternative to well-known recursive digital filters and mass balance filtering methods, this paper deals with the use of regression approaches, based on electrical conductivity measurements, as a proxy for total dissolved solids, to separate baseflow from total flow. Particular focus is placed on their flexibility and ability to adapt to discontinuous electrical conductivity data measurements. To illustrate this, we analyze a hydrochemical dataset collected from the Ciciriello experimental catchment (Southern Italy). The main findings are as follows: A comparative analysis suggests that the performance of regressive approaches in the case of daily electrical conductivity measurements is better than that of calibrated recursive digital filters. Weekly monitored electrical conductivity data led to performances comparable to the daily scale monitoring, and even monthly observation leads to a nonsignificant reduction in regression hydrograph filter performance; this shows how spot geochemical data monitoring may present valid and operational alternatives for characterization of baseflow in poorly gauged catchments. View Full-Text
Keywords: hydrograph filtering; electrical conductivity; baseflow; headwater catchment; Mediterranean climate hydrograph filtering; electrical conductivity; baseflow; headwater catchment; Mediterranean climate
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Longobardi, A.; Villani, P.; Guida, D.; Cuomo, A. Regression Approaches for Hydrograph Separation: Implications for the Use of Discontinuous Electrical Conductivity Data. Water 2018, 10, 1235.

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