Erosion Assessment at Earthen Archeological Sites by Morphometric Analysis of Digital Surface Models: The Case of Huaca Fortaleza (Pampa Grande, Peru, 600–750 AD)
Abstract
1. Introduction
2. Archeological Setting of Pampa Grande Site and Huaca Fortaleza
3. Methods
3.1. Photogrammetric Survey and Digital Surface Model (DSM)
3.2. Morphometric Parameters
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- Slope is measured in degrees and calculated according to [55]:
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- Aspect is the azimuth that a terrain surface faces. Aspect is measured in degrees from the north in a clockwise trend following [55]:
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- Geomorphons. This parameter reflects a land-surface classification method identifying terrain forms by analyzing the spatial pattern of relative elevation differences around each point in a DSM [56]. Geomorphons are computed using a ternary pattern of line-of-sight comparisons between a central cell and a set of surrounding cells distributed along eight cardinal and intercardinal directions. For each direction, the relationship between the central cell and the outer cell is encoded as one of three states (higher, lower, or equal) producing a ternary pattern that is then matched to one of the following fundamental landform types: depression, summit, ridge, spur, slope, hollow, and valley.
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- Drainage network and watershed basins. The map of the stream network and watershed basins has been determined with the Deterministic 8 Neighbor algorithm [57,58,59] (https://saga-gis.sourceforge.io/en/index.html, (accessed on 20 March 2026)). The algorithm requires the DSM and the threshold for the Strahler order as data input. The threshold of Strahler is required to initiate the channel network and delimit the basins. We select a Strahler order of 5 and delete the streams with length < 10 m to obtain a sufficiently detailed network of the main streams by avoiding minor incisions.
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- Valley depth. This parameter is determined following [59] as specified at https://saga-gis.sourceforge.io/saga_tool_doc/6.1.0/ta_channels_7.html (accessed on 15 January 2026). Valley depth is determined as difference between the altitude and an interpolated ridge level. Ridge level interpolation uses an algorithm performing the following steps: (a) outlining ridges using Strahler order on an inverted DSM, (b) interpolation of the ridge levels, and subtraction of the original elevations from the ridge levels.
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- LS factor combines the following two components: the L factor, which represents the effect of slope length (i.e., the horizontal distance from the point of origin of overland flow to the point where either deposition begins or runoff enters a defined channel), and the S factor, which expresses the influence of slope gradient. Together, these two components capture the potential erosive power of water moving downslope. The underlying physical rationale of the LS factor is that longer and steeper slopes generate higher flow velocities and greater shear stress at the soil surface, thereby increasing the transport capacity of overland flow.
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- Topographic Wetness Index (TWI) defines the areas characterized by water flow or stagnation during rain episodes [63]. TWI is a dimensionless parameter defining the balance of catchment water supply and local drainage. TWI calculation requires the following two input parameters [64]: the local upslope area draining through a certain point per unit contour length A, and the local slope S in radians. The analytical expression is:
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- Closed depressions define the zones where the water may stagnate, i.e., the zones surrounded by higher terrains in all directions. We use the algorithm by [57], which has been validated by [65]. The digital map of the depth of then closed depressions is obtained by subtracting the depression-free DSM from the original DSM.
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4. Results
5. Discussion
6. Conclusions
- Erosion is the dominant geomorphic process affecting HF, with the structure exhibiting significantly higher erosion intensity than the surrounding plain, as indicated by the geomorphological features, elevated LS factor and predominantly negative TWI values across the HF flanks and top.
- The flanks are dissected by a well-developed network of parallel rills and gullies, with incision depths reaching up to 8 m demonstrating that erosion has penetrated deeply into the adobe fabric of truncated pyramid. Rills are attributed to low-intensity diffusive rainfall processes, whereas gullies formed during high-intensity ENSO precipitation events occurring seasonally between February and May. Asymmetric morphological degradation among the HF flanks is partly explained by wind-controlled rainfall directionality associated with ENSO.
- Architectural discontinuities such as wall boundaries and former access ramps act as preferential pathways for concentrated flow, accelerating localized erosion. The SW-facing flank represents the most critical sector of the HF building, where deep incision is compounded by gravitational instability. Localized water ponding within closed depressions on the upper platform poses an additional long-term risk through downward infiltration and internal dissolution of adobe materials. The cumulative effect of erosion processes has caused extensive architectural loss, with the platforms of levels 1 and 2 now entirely obliterated and only portions of the upper levels remaining recognizable.
- Average vertical erosion rates are estimated at 0.28–0.38 m/century, comparable to fluvial incision rates documented in natural river systems over similar timescales. Erosion due to diffusion processes is roughly estimated in 0.015 m/century. The net volumetric balance between erosion and deposition indicates internal mass redistribution rather than net export. Diffusion processes are expected to progressively smooth the surface and remove architectural detail.
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Magnini, L.; Apa, M.I.P.; Gutiérrez Cachay, R.F.; Del Gaudio, P.; La Torre, C.E.W.; Ventura, G. Erosion Assessment at Earthen Archeological Sites by Morphometric Analysis of Digital Surface Models: The Case of Huaca Fortaleza (Pampa Grande, Peru, 600–750 AD). Appl. Sci. 2026, 16, 6610. https://doi.org/10.3390/app16136610
Magnini L, Apa MIP, Gutiérrez Cachay RF, Del Gaudio P, La Torre CEW, Ventura G. Erosion Assessment at Earthen Archeological Sites by Morphometric Analysis of Digital Surface Models: The Case of Huaca Fortaleza (Pampa Grande, Peru, 600–750 AD). Applied Sciences. 2026; 16(13):6610. https://doi.org/10.3390/app16136610
Chicago/Turabian StyleMagnini, Luigi, Maria Ilaria Pannaccione Apa, Robert F. Gutiérrez Cachay, Pierdomenico Del Gaudio, Carlos Eduardo Wester La Torre, and Guido Ventura. 2026. "Erosion Assessment at Earthen Archeological Sites by Morphometric Analysis of Digital Surface Models: The Case of Huaca Fortaleza (Pampa Grande, Peru, 600–750 AD)" Applied Sciences 16, no. 13: 6610. https://doi.org/10.3390/app16136610
APA StyleMagnini, L., Apa, M. I. P., Gutiérrez Cachay, R. F., Del Gaudio, P., La Torre, C. E. W., & Ventura, G. (2026). Erosion Assessment at Earthen Archeological Sites by Morphometric Analysis of Digital Surface Models: The Case of Huaca Fortaleza (Pampa Grande, Peru, 600–750 AD). Applied Sciences, 16(13), 6610. https://doi.org/10.3390/app16136610

