2017
DOI: 10.1002/rra.3130
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A Histogram Comparison Approach for Assessing Hydrologic Regime Alteration

Abstract: The histogram comparison approach (HCA) is proposed to assess the alteration of hydrologic regimes, which are characterized by the hydrologic metrics, for example, the indicators of hydrologic alteration. The HCA method considers alterations within the whole range of the hydrologic regime and estimates the alteration degree by comparing the pre‐impact and post‐impact histograms. A key parameter of the HCA method is the similarity degree, which considers both the class‐by‐class and cross‐class information of hi… Show more

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Cited by 20 publications
(16 citation statements)
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“…Suen et al (2010) analyzed the relationship between climate change and hydrological regime alteration in Taiwan. Hydrologic parameters Group 1: Magnitude of monthly water conditions However, RVA does not fully assess the hydrological alteration because only the occurrence changes in the middle range are considered to represent the hydrological regimes [Huang et al, 2017]. Here we verify this argument by a set of real discharge data (Figure 1).…”
Section: Introductionmentioning
confidence: 59%
“…Suen et al (2010) analyzed the relationship between climate change and hydrological regime alteration in Taiwan. Hydrologic parameters Group 1: Magnitude of monthly water conditions However, RVA does not fully assess the hydrological alteration because only the occurrence changes in the middle range are considered to represent the hydrological regimes [Huang et al, 2017]. Here we verify this argument by a set of real discharge data (Figure 1).…”
Section: Introductionmentioning
confidence: 59%
“…The HCA method is based on class by class correspondence and cross-class correspondence of the information in data [23]. Histograms for 32 IHA indices are constructed and their frequency vectors are compared using two similarity metrics.…”
Section: Histogram Comparison Approach (Hca)mentioning
confidence: 99%
“…Those two similarity metrics are combined to form a single similarity metric, which is used to calculate the dissimilarity and in turn the alteration. Alteration by the HCA method is discussed in detail by Huang et al (2017) [23]. The overall degree of alteration is calculated using a group average technique as given by Xue et al (2017) [43] and the final value is represented by "A".…”
Section: Histogram Comparison Approach (Hca)mentioning
confidence: 99%
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