Modeling Pre-Anthropogenic Topography: A Reconstruction in the Perugia Center Using Subsoil Data

This study aimed at developing a digital elevation model of the city center of Perugia, the capital city of Umbria region (Central Italy), to approximate the terrain as it existed prior to human settlement, and study the anthropogenic deposits identified in different locations of the study area. In fact, the foundation of the city dates back 3000 years, and human modifications played a key role in shaping the area. Main modifications exist in the city center area, located on a series of hilltops. Data about the thickness of anthropogenic deposits, from approximately 200 boreholes, allowed us to reconstruct the pre-settlement topography. Numerical interpolation of data about thickness of deposits revealed key areas with significant modifications, mostly located close the watersheds’ drainage divide, where the fluvial and gravitational erosional processes acted in the past. In contrast, other areas close to the top of the hill displayed evidence of artificial leveling. This research enhances the geomorphological mapping of Perugia by precisely delineating the extent and thickness of anthropogenic deposits and allows to recognize and perimeter inactive landforms, currently invisible on the topographic surface. Knowledge of the pre-settlement topography provides critical insights into the historical evolution of the landscape and offers valuable support for urban planning and stability assessments. The methodology holds promise for application in similar urban contexts across Umbria and beyond.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15223183
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Pre-Anthropogenic Topography: A Reconstruction in the Perugia Center Using Subsoil Data

Zenodo (CERN European Organization for Nuclear Research)
Landslides and related hazards
article

Modeling Pre-Anthropogenic Topography: A Reconstruction in the Perugia Center Using Subsoil Data

article en

Abstract

This study aimed at developing a digital elevation model of the city center of Perugia, the capital city of Umbria region (Central Italy), to approximate the terrain as it existed prior to human settlement, and study the anthropogenic deposits identified in different locations of the study area. In fact, the foundation of the city dates back 3000 years, and human modifications played a key role in shaping the area. Main modifications exist in the city center area, located on a series of hilltops. Data about the thickness of anthropogenic deposits, from approximately 200 boreholes, allowed us to reconstruct the pre-settlement topography. Numerical interpolation of data about thickness of deposits revealed key areas with significant modifications, mostly located close the watersheds’ drainage divide, where the fluvial and gravitational erosional processes acted in the past. In contrast, other areas close to the top of the hill displayed evidence of artificial leveling. This research enhances the geomorphological mapping of Perugia by precisely delineating the extent and thickness of anthropogenic deposits and allows to recognize and perimeter inactive landforms, currently invisible on the topographic surface. Knowledge of the pre-settlement topography provides critical insights into the historical evolution of the landscape and offers valuable support for urban planning and stability assessments. The methodology holds promise for application in similar urban contexts across Umbria and beyond.

Zenodo (CERN European Organization for Nuclear Research)
University of Perugia (IT), Studi Associati (Switzerland) (CH)
Sustainable cities and communities
Openalex Percentile: Top 44%
Landslides and related hazards
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.