Spatial variability of quickflow and its determinants in Tamaulipas, México from the InVEST seasonal water yield model

Abstract. Quickflow (QF) is the fraction of rainfall that rapidly runs off to channels, a key element for understanding floods and designing control measures. It reflects rapid runoff pathways that drive peak flows, sediment pulses, water-quality downstream impacts, and hazards. QF is influenced by the precipitation regime (seasonality and event concentration) and by surface properties represented by land use/land cover (LULC) and soil types, which modulate infiltration and storage. We applied the InVEST–Seasonal Water Yield (SWY) model at 30 m resolution in the San Fernando–Soto la Marina basin. We used monthly climate, 2020 LULC, and soil type data, and analyzed (i) the basin-wide distribution of QF, (ii) the spatial influence of LULC- and soil-based on QF, and (iii) the precipitation–QF relationship. Results show a multimodal distribution of QF ratios; urban areas, bare soils, and low-cover croplands yield higher QF than woody covers; and the precipitation–QF relationship is positive but dispersed, modulated by the sequence and intensity of events and by surface conditions. We conclude that integrated land and water management should (a) focus on targeted interventions in high-QF zones that maintain or improve vegetation cover and promote infiltration to reduce flooding and erosion and promote increased dry season flows and (b) integrate improved temporal and spatial representation of precipitation events with realistic LULC and soil parameterizations for more accurate model outputs and reliable planning.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2026-01-20
DOI
https://doi.org/10.5194/isprs-annals-x-3-w3-2025-69-2026
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatial variability of quickflow and its determinants in Tamaulipas, México from the InVEST seasonal water yield model

Kyle Blount, Glenda Nelly Requena Lara, Mariela Estefania Nava-Velez, René Ventura-Houle et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Hydrology and Watershed Management Studies
article

Spatial variability of quickflow and its determinants in Tamaulipas, México from the InVEST seasonal water yield model

Kyle Blount, Glenda Nelly Requena Lara, Mariela Estefania Nava-Velez, René Ventura-Houle, Juan Francisco Morales Pacheco
article en

Abstract

Abstract. Quickflow (QF) is the fraction of rainfall that rapidly runs off to channels, a key element for understanding floods and designing control measures. It reflects rapid runoff pathways that drive peak flows, sediment pulses, water-quality downstream impacts, and hazards. QF is influenced by the precipitation regime (seasonality and event concentration) and by surface properties represented by land use/land cover (LULC) and soil types, which modulate infiltration and storage. We applied the InVEST–Seasonal Water Yield (SWY) model at 30 m resolution in the San Fernando–Soto la Marina basin. We used monthly climate, 2020 LULC, and soil type data, and analyzed (i) the basin-wide distribution of QF, (ii) the spatial influence of LULC- and soil-based on QF, and (iii) the precipitation–QF relationship. Results show a multimodal distribution of QF ratios; urban areas, bare soils, and low-cover croplands yield higher QF than woody covers; and the precipitation–QF relationship is positive but dispersed, modulated by the sequence and intensity of events and by surface conditions. We conclude that integrated land and water management should (a) focus on targeted interventions in high-QF zones that maintain or improve vegetation cover and promote infiltration to reduce flooding and erosion and promote increased dry season flows and (b) integrate improved temporal and spatial representation of precipitation events with realistic LULC and soil parameterizations for more accurate model outputs and reliable planning.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-3/W3-2025
Illinois Department of Public Health (US), Autonomous University of Tamaulipas (MX), University of Illinois at Springfield (US)
Universidad Autónoma de Tamaulipas
Sustainable cities and communities
Openalex Percentile: Top 85%
Hydrology and Watershed Management Studies
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