4.7 Article

Spatial and seasonal patterns in stream water contamination across mountainous watersheds: Linkage with landscape characteristics

Journal

JOURNAL OF HYDROLOGY
Volume 523, Issue -, Pages 398-408

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2015.01.082

Keywords

Stream water contaminant; Landscape characteristics; Co-dependent data; Partial least squares regression

Funding

  1. National Natural Science Foundation of China [41101250, 41271296]
  2. National Science and Technology Supporting Programs [2012BAC06B03]

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Landscape characteristics are widely accepted as strongly influencing stream water quality in heterogeneous watersheds. Understanding the relationships between landscape and specific water contaminant can greatly improve the predictability of potential contamination and the assessment of contaminant export. In this work, we examined the combined effects of watershed complexity, in terms of land use and physiography, on specific water contaminant across watersheds close to the Danjiangkou Reservoir. The land use composition, land use pattern, morphometric variables and soil properties were calculated at the watershed scale and considered potential factors of influence. Due to high co-dependence of these watershed characteristics, partial least squares regression was used to elucidate the linkages between some specific water contaminants and the 16 selected watershed characteristic variables. Water contaminant maps revealed spatial and seasonal heterogeneity. The dissolved oxygen values in the dry season were higher than those in the wet season, whereas the other contaminant concentrations displayed the opposite trend. The studied watersheds which are influenced strongly by urbanization, showed higher levels of ammonia nitrogen, total phosphorus, potassium permanganate index and petroleum, and lower levels of dissolved oxygen. The urban land use, largest patch index and the hypsometric integral were the dominant factors affecting specific water contaminant. (C) 2015 Elsevier B.V. All rights reserved.

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