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DOI | 10.1088/1748-9326/ab24f4 |
Stability of spatial patterns in water chemistry across temperate ecoregions | |
Dupas R.; Minaudo C.; Abbott B.W. | |
发表日期 | 2019 |
ISSN | 17489318 |
卷号 | 14期号:7 |
英文摘要 | Human activity has polluted freshwater ecosystems across the planet, harming biodiversity, human health, and the economy. Improving water quality depends on identifying pollutant sources in river networks, but pollutant concentrations fluctuate in time. Continuous monitoring of many points in river networks is expensive, impeding progress in developing countries where water quality is degrading fastest. In this study, we analyzed 4523 water chemistry time series of ten parameters (NO3-,$" PO43-,$ TP, DOC, SO42-,$ Cl-, Na+, Ca2+, Mg2+, K+) across four temperate ecoregions in France (ca. 560 000 km2). We quantified the spatial stability of water chemistry across the monitoring stations using rank correlations between instantaneous concentrations and water quality metrics derived from 6-year time series (2010-2015). The strength of this rank correlation represents how well a water quality evaluation metric can be characterized with a single sampling for a given water quality parameter. Results show that a single sampling captured a mean of 88% of the spatial variability of these parameters, across ecoregions with different climate and land-use conditions. The spatial stability resulted both from high spatial variability among sites and high temporal synchrony among time series. These findings demonstrate that infrequent but spatially dense water sampling can achieve two of the major goals of water quality monitoring: identify pollutant sources and inform ideal locations for conservation and restoration interventions. © 2019 The Author(s). Published by IOP Publishing Ltd. |
英文关键词 | catchment; monitoring; river network; stability; water quality |
语种 | 英语 |
scopus关键词 | Biodiversity; Catchments; Chemical analysis; Convergence of numerical methods; Developing countries; Economics; Hydrochemistry; Land use; Monitoring; Petroleum reservoir evaluation; Rivers; Stability; Time series; Water quality; Continuous monitoring; Freshwater ecosystem; Pollutant concentration; Restoration intervention; River network; Water quality evaluation; Water quality monitoring; Water quality parameters; River pollution |
来源期刊 | Environmental Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/154515 |
作者单位 | INRA, UMR 1069 SAS, Rennes, F-35000, France; EPFL, Physics of Aquatic Systems Laboratory, Lausanne, 1015, Switzerland; Brigham Young University, Department of Plant and Wildlife Sciences, Provo, 84602, United States |
推荐引用方式 GB/T 7714 | Dupas R.,Minaudo C.,Abbott B.W.. Stability of spatial patterns in water chemistry across temperate ecoregions[J],2019,14(7). |
APA | Dupas R.,Minaudo C.,&Abbott B.W..(2019).Stability of spatial patterns in water chemistry across temperate ecoregions.Environmental Research Letters,14(7). |
MLA | Dupas R.,et al."Stability of spatial patterns in water chemistry across temperate ecoregions".Environmental Research Letters 14.7(2019). |
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