Forecasting Urban Water Demand Using Cellular Automata

Forecasting Urban Water Demand Using Cellular Automata

Associating the dynamic spatial modeling based on the theory of cellular automata with remote sensing and geoprocessing technologies, this article analyzes what would be the per capita consumption behavior of Fortaleza-CE, located in the Northeast of Brazil, in 2017, had there not been a period of w...

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Bibliographic Details
Main Authors: Laís Marques de Oliveira, Samíria Maria Oliveira da Silva, Francisco de Assis de Souza Filho, Taís Maria Nunes Carvalho, Renata Locarno Frota
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Water
Subjects:
water demand
cellular automata
dynamic modeling
Online Access:https://www.mdpi.com/2073-4441/12/7/2038

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