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ORIGINAL RESEARCH article

Front. Water

Sec. Environmental Water Quality

Volume 7 - 2025 | doi: 10.3389/frwa.2025.1676600

This article is part of the Research TopicPost-Fire Impacts on Watershed Water Quality and HydrologyView all articles

Drivers and impacts of changes in water quality behavior from the Hermit's Peak – Calf Canyon wildfire

Provisionally accepted
  • University of New Mexico, Albuquerque, United States

The final, formatted version of the article will be published soon.

Wildfires significantly alter hydrological and biogeochemical processes, impacting downstream water quality and posing risks to ecosystems and human communities. Following the 2022 Hermit's Peak-Calf Canyon (HPCC) wildfire in New Mexico, the largest wildfire recorded in the state of New Mexico, we deployed high-resolution in-situ sensors at three locations along a >160 km fluvial network to investigate event-scale solute transport dynamics and their environmental drivers. Our objective was to evaluate how post-fire runoff events influenced water quality behavior across spatial (headwaters to mid-and high-order streams) and temporal (event to seasonal) gradients. We found that acute water quality impacts were most severe near the burn area, where turbidity reached ~8,500 FNU and dissolved oxygen fell below regulatory thresholds. These extremes, largely missed by traditional discrete sampling, were strongly driven by storm event size and seasonal variability. In contrast, farther downstream, solute export behavior was better predicted by longer-term indicators such as time since the fire and vegetation recovery metrics. Our analysis reveals distinct spatial shifts in concentration-discharge behavior that depend on the water quality parameter type, event features, and site position in the watershed. These findings highlight the need for longitudinal, high-frequency monitoring to detect and anticipate wildfire-induced water quality risks and inform more adaptive, spatially targeted watershed management strategies.

Keywords: Wildfire, Water Quality, Concentration-discharge (C-Q) relationships, Semi-continous monitoring, Sensor data

Received: 30 Jul 2025; Accepted: 29 Sep 2025.

Copyright: © 2025 Tunby, Van Horn and Gonzalez-Pinzon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ricardo Gonzalez-Pinzon, gonzaric@unm.edu

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