Multi-Criteria Decision Method for Sustainable Watercourse Management in Urban Areas
Priscila Celebrini de Oliveira Campos,
Tainá da Silva Rocha Paz,
Letícia Lenz,
Yangzi Qiu,
Camila Nascimento Alves,
Ana Paula Roem Simoni,
José Carlos Cesar Amorim,
Gilson Brito Alves Lima,
Maysa Pontes Rangel and
Igor Paz
Additional contact information
Priscila Celebrini de Oliveira Campos: Instituto Militar de Engenharia, 80 Praça General Tibúrcio, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Tainá da Silva Rocha Paz: Department of Production Engineering, Universidade Federal Fluminense, 152-470 R. Passo da Pátria, São Domingos, Niterói 24210-240, Brazil
Letícia Lenz: Instituto Militar de Engenharia, 80 Praça General Tibúrcio, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Yangzi Qiu: Hydrology, Meteorology and Complexity (HMCO), Ecole des Ponts ParisTech, University of Paris-Est, 77455 Champs-sur-Marne, France
Camila Nascimento Alves: Instituto Militar de Engenharia, 80 Praça General Tibúrcio, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Ana Paula Roem Simoni: Department of Civil Engineering, Centro Universitário Redentor, 25 BR 356, Itaperuna 28300-000, Brazil
José Carlos Cesar Amorim: Instituto Militar de Engenharia, 80 Praça General Tibúrcio, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Gilson Brito Alves Lima: Department of Production Engineering, Universidade Federal Fluminense, 152-470 R. Passo da Pátria, São Domingos, Niterói 24210-240, Brazil
Maysa Pontes Rangel: Department of Civil Engineering, Centro Universitário Redentor, 25 BR 356, Itaperuna 28300-000, Brazil
Igor Paz: Instituto Militar de Engenharia, 80 Praça General Tibúrcio, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Sustainability, 2020, vol. 12, issue 16, 1-22
Abstract:
The rapid urban growth followed by disordered occupation has been generating significant impacts on cities, bringing losses of an economic and social nature that directly interfere with the well-being of the population. In this work, a proposal for local urban infrastructure problems associated with watercourse management is presented, comparing Sustainable Drainage System (SuDS) techniques and Low-Impact Development (LID) concepts with alternative traditional interventions. The study addresses sustainable alternatives to cope with the urbanization of the Cehab’s open channel, which is an important urban watercourse tributary of the Muriaé River, at the municipality of Itaperuna, Rio de Janeiro—Brazil. The multi-criteria decision-making method called Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied here. The results highlighted the better performance of sustainable techniques when compared to the traditional ones, with an overall advantage of the geogrids and geocells for this case study. The obtained TOPSIS coefficients-C for these techniques were higher (0.59488, for Reach 1; and 0.68656, for Reach 2) than those for the others. This research, therefore, presented an important urban watercourse management methodology that can be further applied to guide sustainable investments and help the decision-making associated with the development of territories.
Keywords: SuDS; LID; water resource; NBS; water sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/2071-1050/12/16/6493/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/16/6493/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:16:p:6493-:d:397736
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().