A Cellular Automata Urban Growth Model for Water Resources Strategic Planning

Dionysios Nikolopoulos; Konstantina Risva; Christos Makropoulos

doi:10.29007/w43g

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A Cellular Automata Urban Growth Model for Water Resources Strategic Planning

11 pages•Published: September 20, 2018

Dionysios Nikolopoulos, Konstantina Risva and Christos Makropoulos

Abstract

The alarming rate of urbanization poses immediate problems to water resources management, mainly, but not limited to water supply, flood risk management, wastewater treatment and water quality control. Ideally, strategic planning of water systems should be fully aware of the prospects of future urban growth in order to maintain high reliability of services provided and satisfy customers in the long term. Typically, urban growth is handled in a static manner via the development of future scenarios based on previous urban planning studies. Generally, these scenarios focus solely on population increase and ignore the spatial allocation dynamics. Modern urban water strategic thinking needs to incorporate robust tools and methodologies in management practices, able to predict and quantify the outcome possibility of future urban growth. To cope with the aforementioned challenge, this study proposes a novel cellular automata urban growth model as well as, a supplementary remote sensing methodology to preprocess input data.

Keyphrases: cellular automata, Monte Carlo calibration, urban growth, Urban surfaces identification

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1557--1567

Links:	https://easychair.org/publications/paper/3WCF
	https://doi.org/10.29007/w43g

BibTeX entry

@inproceedings{HIC2018:Cellular_Automata_Urban_Growth,
  author    = {Dionysios Nikolopoulos and Konstantina Risva and Christos Makropoulos},
  title     = {A Cellular Automata Urban Growth Model for Water Resources Strategic Planning},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {1557--1567},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/3WCF},
  doi       = {10.29007/w43g}}

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