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Identification of temporal consistency in rating curve data: Bidirectional Reach (BReach)

Katrien Van Eerdenbrugh (UGent) , Stijn Van Hoey (UGent) and Niko Verhoest (UGent)
(2016) WATER RESOURCES RESEARCH. 52(8). p.6277-6296
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Abstract
In this paper, a methodology is developed to identify consistency of rating curve data based on a quality analysis of model results. This methodology, called Bidirectional Reach (BReach), evaluates results of a rating curve model with randomly sampled parameter sets in each observation. The combination of a parameter set and an observation is classified as nonacceptable if the deviation between the accompanying model result and the measurement exceeds observational uncertainty. Based on this classification, conditions for satisfactory behavior of a model in a sequence of observations are defined. Subsequently, a parameter set is evaluated in a data point by assessing the span for which it behaves satisfactory in the direction of the previous (or following) chronologically sorted observations. This is repeated for all sampled parameter sets and results are aggregated by indicating the endpoint of the largest span, called the maximum left (right) reach. This temporal reach should not be confused with a spatial reach (indicating a part of a river). The same procedure is followed for each data point and for different definitions of satisfactory behavior. Results of this analysis enable the detection of changes in data consistency. The methodology is validated with observed data and various synthetic stage-discharge data sets and proves to be a robust technique to investigate temporal consistency of rating curve data. It provides satisfying results despite of low data availability, errors in the estimated observational uncertainty, and a rating curve model that is known to cover only a limited part of the observations.
Keywords
rating curve, RIVER DISCHARGE, data consistency, Bidirectional Reach, BReach, FLOOD FREQUENCY-ANALYSIS, MODEL CALIBRATION, HYDRAULIC MODEL, UNCERTAINTY, PREDICTIONS

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Chicago
Van Eerdenbrugh, Katrien, Stijn Van Hoey, and Niko Verhoest. 2016. “Identification of Temporal Consistency in Rating Curve Data: Bidirectional Reach (BReach).” Water Resources Research 52 (8): 6277–6296.
APA
Van Eerdenbrugh, K., Van Hoey, S., & Verhoest, N. (2016). Identification of temporal consistency in rating curve data: Bidirectional Reach (BReach). WATER RESOURCES RESEARCH, 52(8), 6277–6296.
Vancouver
1.
Van Eerdenbrugh K, Van Hoey S, Verhoest N. Identification of temporal consistency in rating curve data: Bidirectional Reach (BReach). WATER RESOURCES RESEARCH. 2016;52(8):6277–96.
MLA
Van Eerdenbrugh, Katrien, Stijn Van Hoey, and Niko Verhoest. “Identification of Temporal Consistency in Rating Curve Data: Bidirectional Reach (BReach).” WATER RESOURCES RESEARCH 52.8 (2016): 6277–6296. Print.
@article{8149982,
  abstract     = {In this paper, a methodology is developed to identify consistency of rating curve data based on a quality analysis of model results. This methodology, called Bidirectional Reach (BReach), evaluates results of a rating curve model with randomly sampled parameter sets in each observation. The combination of a parameter set and an observation is classified as nonacceptable if the deviation between the accompanying model result and the measurement exceeds observational uncertainty. Based on this classification, conditions for satisfactory behavior of a model in a sequence of observations are defined. Subsequently, a parameter set is evaluated in a data point by assessing the span for which it behaves satisfactory in the direction of the previous (or following) chronologically sorted observations. This is repeated for all sampled parameter sets and results are aggregated by indicating the endpoint of the largest span, called the maximum left (right) reach. This temporal reach should not be confused with a spatial reach (indicating a part of a river). The same procedure is followed for each data point and for different definitions of satisfactory behavior. Results of this analysis enable the detection of changes in data consistency. The methodology is validated with observed data and various synthetic stage-discharge data sets and proves to be a robust technique to investigate temporal consistency of rating curve data. It provides satisfying results despite of low data availability, errors in the estimated observational uncertainty, and a rating curve model that is known to cover only a limited part of the observations.},
  author       = {Van Eerdenbrugh, Katrien and Van Hoey, Stijn and Verhoest, Niko},
  issn         = {0043-1397},
  journal      = {WATER RESOURCES RESEARCH},
  language     = {eng},
  number       = {8},
  pages        = {6277--6296},
  title        = {Identification of temporal consistency in rating curve data: Bidirectional Reach (BReach)},
  url          = {http://dx.doi.org/10.1002/2016WR018692},
  volume       = {52},
  year         = {2016},
}

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