ArcSWAT Modeling Analysis for Post-Wildfire Logging Impacts on Sediment and Water Yields at Salmon-Challis National Forest, Idaho, USA

Liu, Jia; Paul, Sabu; Manguerra, Henry

doi:10.1061/9780784479322.021

Cited by 1 publication

(1 citation statement)

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“…In this work, we employ two models that incorporate the SCS-CN method, namely SWAT [35][36][37] for the daily time step and HEC-HMS for the hourly time step. The assets of these two models are that they have been extensively used to simulate land use changes and the hydrological impact of fires, e.g., [6,[24][25][26]28,[38][39][40][41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Model Multi-Scale Approach to Estimate the Impact of the 2007 Large-Scale Forest Fires in Peloponnese, Greece

Batelis

Nalbantis

2022

Water

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The hydrological impact of large-scale forest fires in a large basin is investigated on both a daily and an hourly basis. A basin of 877 km2 was chosen, with 37% of its area having been burnt in the summer of 2007. Five models are employed, namely SWAT (semi-distributed), GR4J, GR5J, and GR6J (lumped) for the daily time step, and HEC-HMS (semi-distributed) for the hourly time step. As SWAT and HEC-HMS implement the SCS-CN method, the change in the Curve Number (CN) from pre-fire to post-fire conditions is estimated along with the post-fire trend of CN for both time steps. Regarding the daily time step, a 20% post-fire increase in CN proved necessary for the accurate streamflow prediction, whereas ignoring this led to an underestimation of 22% on average. On an hourly time basis, CN was 95 for burnt areas after the fire, with a mildly decreasing trend after the third year and still above 90 until the fifth year. When neglecting this, peak flow is seriously underestimated (35–70%). The post-fire trend lines of CN for the two-time steps showed statistically equal slopes. Finally, GR models accurately predicted runoff while constraining one model parameter, which proved useful for the realistic prediction of other variables.

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