A new method for verification of delineated channel networks

Liu, Zhe; Khan, Urooj; Sharma, Ashish

doi:10.1002/2013wr014290

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…A simpler method was used by Omran, Dietrich, Abouelmagd, and Michael (2016), who computed the root mean squared distance between stream order results. Liu, Khan, and Sharma (2014) noted the lack of appropriate measures for assessing the accuracy of delineated channel networks and proposed a procedure based on analysing the cross-sections of all delineated channels and determining the corresponding incision index.…”

Section: Prediction Of Channel Headsmentioning

confidence: 99%

How to evaluate the quality of coarse‐resolution DEM‐derived drainage networks

Sousa

Paz

2017

Hydrological Processes

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The quality of digital elevation model (DEM)‐derived river drainage networks (RDNs) is influenced by DEM quality, basin physical characteristics, scale, and algorithms used; these factors should not be neglected. However, few research studies analyse the different evaluation approaches used in the literature with respect to adequacy, meaning of the results, advantages, and limitations. Focusing on coarse‐resolution networks, this paper reviews the use of these techniques and offers new insights on these issues. Additionally, we propose adaptations for selected metrics and discuss distinct interpretations for the evaluation of RDNs derived at different spatial resolutions (1, 5, 10, 20, and 30 km) considering the Uruguay River basin (206,000 km2) as a case study. The results demonstrate that lumped basin/river characteristics and basin delineation analysis should not be used as evaluation criteria for RDN quality; however, some of these metrics offer useful complementary information. Percentage of the DEM‐derived RDN within a uniform buffer placed around a river network considered as reference and mean separation distance between these two networks are more suitable metrics, but the former is insensitive to serious errors. The change in reference from a fine‐scale network to a coarse‐resolution manual tracing network significantly augments the discrepancy of these largest errors when the mean distance metric was applied, and visual comparison analysis is necessary to interpret the results for other metrics. We recommend the use of the mean distance metric in combination with a detailed visual assessment, the importance of which increases as the resolution coarsens. In both cases, the impact of network quality can be further refined by quantifying the basin shape and river length errors.

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Section: Prediction Of Channel Headsmentioning

confidence: 99%

How to evaluate the quality of coarse‐resolution DEM‐derived drainage networks

Sousa

Paz

2017

Hydrological Processes

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“…Montgomery and Dietrich (1992) showed that a specific topographic threshold in the field is related to the channel header locations. Liu et al (2014) proposed a new method with three incision indices incised channel index, partially incised channel index and non-incised channel index. Channel cross-section analysis method is used to determine the incision indices were verified against RGB images of the areas.…”

Section: Introductionmentioning

confidence: 99%

Developing a geomorphological instantaneous unit hydrograph (GIUH) using equivalent Horton-Strahler ratios for flash flood predictions in arid regions

Bamufleh

Al-Wagdany

Elfeki

et al. 2020

Geomatics, Natural Hazards and Risk

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The Horton-Strahler ratios are important to describe the stream network and to identify the hydrologic response of a basin using the GIUH concept. These ratios are often sensitive to the selected threshold area for the extraction of the stream network form digital elevation models (DEM). Researches are seeking to find out the appropriate threshold with no success. Self-similarity approach of the properties of the stream network can provide an estimation of equivalent Horton-Strahler ratios using parameters independent of the threshold area. This approach is applied on four arid basins in Saudi Arabia. The equivalent Horton-Strahler ratios are used to derive GIUH based on Nash and Fr echet hydrograph models. The results indicate that the Horton-Strahler ratios and the length of the highest order stream depend strongly on the threshold and consequently, the GIUH characteristics show discrepancies due to the threshold. This study recommends to use threshold area that is equal to 0.02% of the basin area for basins less than 280 km 2 and 0.002% of the basin area for basins large than 2700 km 2 .The comparison between the measured and the equivalent hydrographs of Nash and Fr echet models for each event shows that there are obvious discrepancies in terms of peak discharge, Q p , time to peak,T p , time lag, T lag , and the runoff volume. The results of Nash model are relatively better to represent the measured hydrographs. The minimum relative error (RE) of some events are: RE of Q p ranges between 12.5% for Nash to 61% for Fr echet, RE of T p is À53.8% for both Nash and Fr echet, while RE of T lag is 0.0% for both Nash and Fr echet and RE of runoff volume ranges between À37.5% for Nash to À34.5% for Fr echet. The study recommends investigating other GIUH models to improve the RE in arid regions.

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