2019
DOI: 10.1029/2018wr024257
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Distinct Source Water Chemistry Shapes Contrasting Concentration‐Discharge Patterns

Abstract: Understanding concentration‐discharge (C‐Q) relationships are essential for predicting chemical weathering and biogeochemical cycling under changing climate and anthropogenic conditions. Contrasting C‐Q relationships have been observed widely, yet a mechanistic framework that can interpret diverse patterns remains elusive. This work hypothesizes that seemingly disparate C‐Q patterns are driven by switching dominance of end‐member source waters and their chemical contrasts arising from subsurface biogeochemical… Show more

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Cited by 130 publications
(211 citation statements)
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References 102 publications
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“…In fact, flow integration across depths can explain the concentration variations in different flow regimes (Seibert et al, 2009; van der Velde et al, 2010). This vertical stratification depends on lithology, the depth and characteristics of fractured rocks, and ultimately the vertical connectivity (Kolbe et al, 2019; Zhi et al, 2019) of subsurface systems. The “flushing” export patterns has been observed not only for nitrate but also for other solutes that are enriched in shallow soils and depleted in deeper subsurface, including dissolved organic carbon (DOC) (Moatar, Abbott, Minaudo, Curie, & Pinay, 2017; Musolff et al, 2017; Trauth et al, 2018; Zarnetske, Bouda, Abbott, Saiers, & Raymond, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…In fact, flow integration across depths can explain the concentration variations in different flow regimes (Seibert et al, 2009; van der Velde et al, 2010). This vertical stratification depends on lithology, the depth and characteristics of fractured rocks, and ultimately the vertical connectivity (Kolbe et al, 2019; Zhi et al, 2019) of subsurface systems. The “flushing” export patterns has been observed not only for nitrate but also for other solutes that are enriched in shallow soils and depleted in deeper subsurface, including dissolved organic carbon (DOC) (Moatar, Abbott, Minaudo, Curie, & Pinay, 2017; Musolff et al, 2017; Trauth et al, 2018; Zarnetske, Bouda, Abbott, Saiers, & Raymond, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…The code includes three modules ( Figure 2): the surface hydrological module PIHM, the landsurface module Flux, and the multicomponent reactive transport module BioRT (Biogeochemical Reactive Transport). The code has been applied to simulate conservative solute transport, mineral dissolution, chemical weathering, surface complexation, and biogeochemical reactions at the catchment scale (Bao et al, 2017;Zhi et al, 2019;. Here we only introduce the salient features of the code that are relevant to this study; readers are referred to earlier publications for details on the code.…”
Section: The Bfp Modelmentioning
confidence: 99%
“…In this context, we have developed a catchment-scale reactive transport model BioRT-Flux-PIHM (Biogeochemical Reactive Transport -Flux -Penn State Integrated Hydrologic Modeling System, BFP), hereafter referred to as BFP (Bao et al, 2017;Zhi et al, 2019). The model integrates catchment hydrological and biogeochemical processes.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, pesticide residues have always been the focus of attention because of the toxicity to nontarget organisms and human. Some studies have reported that pesticides could be found and detected in many agricultural products, especially vegetables and fruits . Wine fermented from grapes has a long history in the world and is very popular among consumers.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies have reported that pesticides could be found and detected in many agricultural products, especially vegetables and fruits. [1][2][3] Wine fermented from grapes has a long history in the world and is very popular among consumers. To our knowledge, the wine fermentation process is mediated by fermentation microbial and the quality of wine could be affected by microbial.…”
Section: Introductionmentioning
confidence: 99%