The fine structure of water‐quality dynamics: the (high‐frequency) wave of the future

By James W. Kirchner, Xiahong Feng, C. Neal, A. Robson. 2004

452 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/ef9a3b3689975460e028d458506934ff182b3080

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In Environmental Engineering

In Global and Planetary Change

In Water Science and Technology

Citations in the corpus

The metabolic regimes of flowing waters (2018, background): “The emerging transition of stream metabolism studies from daily rates to annual regimes is part of a much wider effort to document and draw inference from hydrochemical patterns across the full span of relevant time scales, from days and storm events to seasons and decades (Kirchner et al. 2004).”
Sensitivity of mean transit time estimates to model conditioning and data availability (2011, background): “It is widely accepted that reduced sampling frequencies cause a bias in MTT estimates, as much of the temporal dynamic of the tracer is lost (cf Kirchner et al., 2004) and the peak inputs are substantially reduced (Figure 3).”
Diel phosphorus variation and the stoichiometry of ecosystem metabolism in a large spring-fed river (2013, background): “Key words: coupled elemental cycles; ecosystem stoichiometry; metabolism; nutrient assimilation; sensors; springs.”
The phosphorus transfer continuum: linking source to impact with an interdisciplinary and multi-scaled approach. (2005, background): “Most of the data have not been collected at the correct scale and lack the resolution to clarify many of these issues (Harris and Heathwaite, 2005; Kirchner et al., 2004).”
The role of organisms in hyporheic processes: gaps in current knowledge, needs for future research and applications (2012, background): “Conventional sampling practices obscure the temporal dynamic of hyporheic processes (Kirchner et al., 2004; Greenwood et al., 2007).”
Hybrid fuzzy and optimal modeling for water quality evaluation (2007, background): “Issues of indeterminacy, heterogeneity, extremes, and fractal processes represent some of the most important and challenging environmental research topics [Anderson et al., 2000; Kirchner et al., 2000; Medina et al., 2002; Kirchner et al., 2004; Neal and Heathwaite, 2005].”