Assessing the influence of dam construction on the spatial and temporal evolution of population density across the United States of America

Abboud, Mohand (2022) Assessing the influence of dam construction on the spatial and temporal evolution of population density across the United States of America. [Laurea magistrale], Università di Bologna, Corso di Studio in Civil engineering [LM-DM270], Documento full-text non disponibile
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Abstract

Finding the optimum location for placing a dam on a river is usually a complicated process which generally forces thousands of people to flee their homes because they will be inundated during the filling of the dam. Dams could also attract people living in the surrounding area after their construction. The goal of this research is to check for dam attractiveness for people by comparing growth rates of population density in surrounding areas after dam construction to those associated with the period antecedent to the dam construction. To this aim, 1859 dams across the United States of America and high-resolution population distribution from 1790 to 2010 are examined. By grouping dams as a function of their main purpose, water supply dams are found to be, as expected, the most attractive dams for people, with the biggest growth in population density. Irrigation dams are next, followed by hydroelectricity, flood control, Navigation, and finally Recreation dams. Fishery dams and dams for other uses suffered a decrease in population in the years after their construction. The regions with the greatest population growth were found approximately 40-45 km from the dam and at distances greater than 90 km, whereas the regions with the greatest population decline or only a modest gain were located within 10-15 km of the dam.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Abboud, Mohand
Relatore della tesi
Scuola
Corso di studio
Indirizzo
Infrastructure Design in River Basins
Ordinamento Cds
DM270
Parole chiave
Dams,Population,Growth rate,Temporal evolution,Spatial evolution
Data di discussione della Tesi
27 Maggio 2022
URI

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