Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil
In the face of urban expansion, ensuring sustainable water consumption is paramount. This study aims to develop a domestic water demand forecast model that considers population heterogeneity and the urban area distribution in a city in the Brazilian Semiarid Region. The methodology comprises three m...
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MDPI AG
2023-11-01
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Series: | Urban Science |
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Online Access: | https://www.mdpi.com/2413-8851/7/4/120 |
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author | Higor Costa de Brito Iana Alexandra Alves Rufino Mauro Normando Macedo Barros Filho Ronaldo Amâncio Meneses |
author_facet | Higor Costa de Brito Iana Alexandra Alves Rufino Mauro Normando Macedo Barros Filho Ronaldo Amâncio Meneses |
author_sort | Higor Costa de Brito |
collection | DOAJ |
description | In the face of urban expansion, ensuring sustainable water consumption is paramount. This study aims to develop a domestic water demand forecast model that considers population heterogeneity and the urban area distribution in a city in the Brazilian Semiarid Region. The methodology comprises three main steps: (1) spatial data collection to identify explanatory variables for a future Land Use and Cover (LULC) model; (2) simulation of LULC data for 2030, 2040, and 2050 using the MOLUSCE plugin; and (3) estimation of domestic water demand based on projected urban area expansion and a linear regression model incorporating demographic indicators of household income, residents per household, total population, and gender. The results demonstrated a consistent LULC simulation, indicating an urban expansion of 4 km<sup>2</sup> between 2030 and 2050, with reductions of 0.6 km<sup>2</sup> in natural formations and 3.4 km<sup>2</sup> in farming areas. Using LULC data, the study predicted a 14.21% increase in domestic water consumption in Campina Grande for 2050 compared to 2010, equivalent to an increase of 2,348,424.96 m<sup>3</sup>. Furthermore, the spatial analysis draws a spatial profile of water consumption among residents, highlighting the areas with the highest per capita consumption. Thus, this research offers a consistent approach to estimating water demand in regions with limited consumption data, providing valuable insights for decision-makers to consider in urban planning. |
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issn | 2413-8851 |
language | English |
last_indexed | 2024-03-08T20:18:25Z |
publishDate | 2023-11-01 |
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series | Urban Science |
spelling | doaj.art-c027631cf857451c8b3718ffbb10aec02023-12-22T14:46:45ZengMDPI AGUrban Science2413-88512023-11-017412010.3390/urbansci7040120Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, BrazilHigor Costa de Brito0Iana Alexandra Alves Rufino1Mauro Normando Macedo Barros Filho2Ronaldo Amâncio Meneses3Center for Technology and Natural Resources, Federal University of Campina Grande, Campina Grande 58429900, BrazilCenter for Technology and Natural Resources, Federal University of Campina Grande, Campina Grande 58429900, BrazilCenter for Technology and Natural Resources, Federal University of Campina Grande, Campina Grande 58429900, BrazilCenter for Technology and Natural Resources, Federal University of Campina Grande, Campina Grande 58429900, BrazilIn the face of urban expansion, ensuring sustainable water consumption is paramount. This study aims to develop a domestic water demand forecast model that considers population heterogeneity and the urban area distribution in a city in the Brazilian Semiarid Region. The methodology comprises three main steps: (1) spatial data collection to identify explanatory variables for a future Land Use and Cover (LULC) model; (2) simulation of LULC data for 2030, 2040, and 2050 using the MOLUSCE plugin; and (3) estimation of domestic water demand based on projected urban area expansion and a linear regression model incorporating demographic indicators of household income, residents per household, total population, and gender. The results demonstrated a consistent LULC simulation, indicating an urban expansion of 4 km<sup>2</sup> between 2030 and 2050, with reductions of 0.6 km<sup>2</sup> in natural formations and 3.4 km<sup>2</sup> in farming areas. Using LULC data, the study predicted a 14.21% increase in domestic water consumption in Campina Grande for 2050 compared to 2010, equivalent to an increase of 2,348,424.96 m<sup>3</sup>. Furthermore, the spatial analysis draws a spatial profile of water consumption among residents, highlighting the areas with the highest per capita consumption. Thus, this research offers a consistent approach to estimating water demand in regions with limited consumption data, providing valuable insights for decision-makers to consider in urban planning.https://www.mdpi.com/2413-8851/7/4/120domestic water demandland use and land coverurban sprawlsemiarid regionurban water |
spellingShingle | Higor Costa de Brito Iana Alexandra Alves Rufino Mauro Normando Macedo Barros Filho Ronaldo Amâncio Meneses Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil Urban Science domestic water demand land use and land cover urban sprawl semiarid region urban water |
title | Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil |
title_full | Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil |
title_fullStr | Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil |
title_full_unstemmed | Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil |
title_short | Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil |
title_sort | use of spatial data in the simulation of domestic water demand in a semiarid city the case of campina grande brazil |
topic | domestic water demand land use and land cover urban sprawl semiarid region urban water |
url | https://www.mdpi.com/2413-8851/7/4/120 |
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