Literature DB >> 28846904

Driver detection of water quality trends in three large European river basins.

Elena Diamantini1, Stefanie R Lutz2, Stefano Mallucci3, Bruno Majone3, Ralf Merz2, Alberto Bellin3.   

Abstract

This study analyses how indicators of water quality (thirteen physico-chemical variables) and drivers of change (i.e., monthly aggregated air temperature and streamflow, population density, and percentage of agricultural land use) coevolve in three large European river basins (i.e., Adige, Ebro, Sava) with different climatic, soil and water use conditions. Spearman rank correlation, Principal Component Analysis, and Mann-Kendall trend tests were applied to long-term time series of water quality data during the period 1990-2015 in order to investigate the relationships between water quality parameters and the main factors controlling them. Results show that air temperature, considered as a proxy of climatic change, has a significant impact, in particular in the Adige and Ebro: positive trends of water temperature and negative of dissolved oxygen are correlated with upward trends of air temperatures. The aquatic ecosystems of these rivers are, therefore, experiencing a reduction in oxygen, which may exacerbate in the future given the projected further increase in temperature. Furthermore, monthly streamflow has been shown to reduce in the Ebro, thereby reducing the beneficial effect of dilution, which appears evident from the observed upward patterns of chloride concentrations and electrical conductivity. Upward trends of chloride and biological oxygen demand in the Adige and Sava, and of phosphate in the Adige appears to be related to increasing human population density, whereas phosphates in the Sava and biological oxygen demand in the Ebro are highly correlated with agricultural land use, considered as a proxy of the impact of agricultural practises. The present study shows the complex relationships between drivers and observed changes in water quality parameters. Such analysis can represent, complementary to a deep knowledge of the investigated systems, a reliable tool for decision makers in river basin planning by providing an overview of the potential impacts on the aquatic ecosystem of the three basins.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  European river basins; Principal Component Analysis; Spearman rank correlation; Water quality drivers; Water quality trends

Year:  2017        PMID: 28846904     DOI: 10.1016/j.scitotenv.2017.08.172

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  Quantitative source apportionment of water solutes and CO2 consumption of the whole Yarlung Tsangpo River basin in Tibet, China.

Authors:  Jiaju Liu; Yunpeng Zhao; Zheng Li; Huaicheng Guo
Journal:  Environ Sci Pollut Res Int       Date:  2019-07-31       Impact factor: 4.223

2.  Application of Dempster-Shafer theory and fuzzy analytic hierarchy process for evaluating the effects of geological formation units on groundwater quality.

Authors:  Marzieh Mokarram; Majid Hojati; Ali Saber
Journal:  Environ Sci Pollut Res Int       Date:  2019-05-09       Impact factor: 4.223

3.  Response mode of hydrochemical types of river water to altitude gradient in alpine regions.

Authors:  Zong-Jie Li; Zong-Xing Li; Ling-Ling Song; Jin-Zhu Ma
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-07       Impact factor: 4.223

4.  Spatio-temporal dynamics of water quality and their linkages with the watershed landscape in highly disturbed headwater watersheds in China.

Authors:  Wangshou Zhang; Dongqiang Chen; Hengpeng Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-19       Impact factor: 4.223

5.  Overall assessment of surface water quality in the Lower Danube River.

Authors:  Violeta-Monica Radu; Petra Ionescu; Gyorgy Deak; Elena Diacu; Alexandru Anton Ivanov; Stefan Zamfir; Maria-Iuliana Marcus
Journal:  Environ Monit Assess       Date:  2020-01-23       Impact factor: 2.513

6.  Landscape Characteristics Affecting Spatial Patterns of Water Quality Variation in a Highly Disturbed Region.

Authors:  Xinqi Hu; Hongqi Wang; Yi Zhu; Gang Xie; Huijian Shi
Journal:  Int J Environ Res Public Health       Date:  2019-06-18       Impact factor: 3.390

7.  Long-Term Trends in Water Quality Indices in the Lower Danube and Tributaries in Romania (1996-2017).

Authors:  Rodica-Mihaela Frîncu
Journal:  Int J Environ Res Public Health       Date:  2021-02-09       Impact factor: 3.390

  7 in total

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