Performance of Time-based and Non-time-based Clustering in the Identification of River Discharge Patterns

Mansor, Nur Syazwin; Ahmad, Norhaiza; Heryansyah, Arien

doi:10.1108/s2040-726220180000020022

Cited by 1 publication

(1 citation statement)

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“…These Streamflow Regime Types are very different from those contain-ing large numbers of members, and any clustering of hydrographs in this way must balance common characteristics against uniqueness. The use of DTW to address these issues in hydrology has been suggested previously (Ehret and Zehe, 2011;Ouyang et al, 2010;Mansor et al, 2018). Overall, the use of dynamic time warping overcomes the timing differences due to latitude and elevation.…”

Section: Streamflow Regime Typesmentioning

confidence: 99%

The spatial extent of hydrological and landscape changes across the mountains and prairies of Canada in the Mackenzie and Nelson River basins based on data from a warm-season time window

Whitfield

Kraaijenbrink

Shook

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. East of the Continental Divide in the cold interior of Western Canada, the Mackenzie and Nelson River basins have some of the world's most extreme and variable climates, and the warming climate is changing the landscape, vegetation, cryosphere, and hydrology. Available data consist of streamflow records from a large number (395) of natural (unmanaged) gauged basins, where flow may be perennial or temporary, collected either year-round or during only the warm season, for a different series of years between 1910 and 2012. An annual warm-season time window where observations were available across all stations was used to classify (1) streamflow regime and (2) seasonal trend patterns. Streamflow trends were compared to changes in satellite Normalized Difference Indices. Clustering using dynamic time warping, which overcomes differences in streamflow timing due to latitude or elevation, identified 12 regime types. Streamflow regime types exhibit a strong connection to location; there is a strong distinction between mountains and plains and associated with ecozones. Clustering of seasonal trends resulted in six trend patterns that also follow a distinct spatial organization. The trend patterns include one with decreasing streamflow, four with different patterns of increasing streamflow, and one without structure. The spatial patterns of trends in mean, minimum, and maximum of Normalized Difference Indices of water and snow (NDWI and NDSI) were similar to each other but different from Normalized Difference Index of vegetation (NDVI) trends. Regime types, trend patterns, and satellite indices trends each showed spatially coherent patterns separating the Canadian Rockies and other mountain ranges in the west from the poorly defined drainage basins in the east and north. Three specific areas of change were identified: (i) in the mountains and cold taiga-covered subarctic, streamflow and greenness were increasing while wetness and snowcover were decreasing, (ii) in the forested Boreal Plains, particularly in the mountainous west, streamflows and greenness were decreasing but wetness and snowcover were not changing, and (iii) in the semi-arid to sub-humid agricultural Prairies, three patterns of increasing streamflow and an increase in the wetness index were observed. The largest changes in streamflow occurred in the eastern Canadian Prairies.

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Section: Streamflow Regime Typesmentioning

confidence: 99%