Emergy assessment for depollution of the Charles de Gaulle stream in Brazil

Authors

DOI:

https://doi.org/10.5585/2024.27555

Keywords:

emergy, ecosystem services, urban rivers, sensitivity analysis.

Abstract

Objective: This study aimed to conduct an emergy assessment for the depollution of the Charles de Gaulle stream in Brazil.

Methodology: A case study approach was employed, utilizing interviews and participant observation for data collection. The emergy assessment was applied to the gathered data, yielding significant results.

Originality: This study addresses a critical research gap, as no literature specifically applies emergy assessment to urban stream depollution. It provides a comprehensive evaluation of the stream’s revitalization and monitoring impacts, contributing to the United Nations Sustainable Development Goal 6 (SDG 6) on clean water and sanitation.

Results: Emergy indicators, analyzed through sensitivity analysis, reveal improvements in ecosystem services, resource optimization, and water quality. A decrease in the stream's total emergy indicates clear environmental restoration and societal reintegration into the ecosystem.

Contributions: This research demonstrates the feasibility of applying emergy assessment in urban water revitalization. The reduction in total emergy signifies environmental restoration and supports practical actions toward achieving SDG 6 focused on clean water and sanitation.

Downloads

Download data is not yet available.

Author Biographies

Fabio Richard Flausino, Universidade Nove de Julho (UNINOVE) / São Paulo, SP - Brasil

Dr. Fabio Richard Flausino obtained his doctorate and master’s degrees from Universidade Nove de Julho in the faculties of administration and production engineering, respectively. He has worked for 14 years at the basic sanitation company of the state of São Paulo and has dedicated himself to developing research in the areas of environment and production engineering.

André Felipe Henriques Librantz, Universidade Nove de Julho (UNINOVE) / São Paulo, SP - Brasil

Bachelor in Physics from the University of São Paulo (USP) in 1997, he holds a Master’s degree (2000) and a Ph.D. in Nuclear Technology in Materials (2004) from the same institution, as well as two postdoctoral degrees in Computational Modeling and Simulation (2006) and Operations Research (2015). He served as Director of the Graduate Program in Production Engineering at Uninove (2009–2015) and is currently the Director and Professor of the Master’s and Doctoral Programs in Informatics and Knowledge Management (PPGI) and a professor in the PPGEP program at the same institution. He has expertise in Computational Modeling and Optimization applied to the planning, optimization, and control of processes.

Geraldo Cardoso de Oliveira Neto, Universidade Federal do ABC (UFABC) / Santo André, SP - Brasil

Research Productivity Scholarship (PQ) level 2, Post-doctorate from the University of Aveiro - Portugal in Industrial Management and Engineering (2018 and 2022), Post-doctorate from the Federal University of São Carlos (UFScar) in Production Engineering (2015), PhD in Production Engineering (2012) with title recognition from the University of Aveiro in Portugal, PhD in Business Administration (2013), Master in Production Engineering (2008), Specialization in Quality and Productivity Management (2006), Specialization in People Management (2006) and Bachelor's degree in Business Administration (2004). He is currently a professor and researcher in the Master's Program in Production Engineering at the Federal University of ABC (UFABC) in the Research Line Advanced Manufacturing and Production Management.

 

Rafael A. Faioli, Universidade Federal do ABC (UFABC) / Santo André, SP - Brasil

Graduate in Science and Technology from the Federal University of Diamantina (UFVJM) (2018); Graduate in Mechanical Engineering from the Federal University of Diamantina (UFVJM) (2022). Currently a Project Manager focused on systems automation and IT, as well as a Master’s student in Production Engineering at the Federal University of ABC (UFABC), specializing in the Advanced Manufacturing and Production Management research area.

References

Anin, D. O., & Banahene, P. (2021). Urbanization and stream ecosystems: The role of flow hydraulics towards an improved understanding in addressing urban stream degradation. Environmental Reviews, 29(3), 401–414. https://doi.org/10.1139/er-2020-0063

Brown, M. T., & Ulgiati, S. (2002). Emergy evaluations and environmental loading of electricity production systems. Journal of Cleaner Production, 10(4), 321-334. https://doi.org/10.1016/S0959-6526(01)00043-9

Chen, D., Chen, J., Luo, Z., & Lv, Z. (2009). Emergy evaluation of the natural value of water resources in Chinese rivers. Environmental Management. DOI:10.1007/s00267-009-9320-x

Di, D., Wu, Z., Guo, X., Lv, C., & Wang, H. (2019). . alue stream analysis and emergy evaluation of the water resource eco-economic system in the Yellow River Basin. Water, 11(4), 710. Water 2019, 11(4), 710; https://doi.org/10.3390/w11040710

Flausino, F. R., & Gallardo, A. L. C. F. (2021). Oferta de serviços ecossistêmicos culturais na despoluição de rios urbanos em São Paulo. Revista Brasileira de Gestão Urbana, 13, e20200155. https://doi.org/10.1590/2175-3369.013.e20200155

Flausino, F. R., Oliveira Neto, G. C., & Librantz, A. F. H. (2023). Procedure for emergetic assessment in urban river de-pollution. Water Science and Technology, 88(8), 2068. https://doi.org/10.2166/wst.2023.318

INMET - Instituto Nacional de Meteorologia. Banco de Dados Meteorológicos para Ensino e Pesquisa - BDMEP. Brasília, DF, Brasil. Disponível em: http://www.inmet.gov.br https://portal.inmet.gov.br/dadoshistoricos. Acesso em 29 de julho de 2022.

Li, H., Lv, C., Ling, M., Gu, C., Li, Y., Wu, Z., & Yan, D. (2021). Emergy analysis and ecological spillover as tools to quantify ecological compensation in Xuchang City, Qingyi River Basin, China. Water, 13(4), 414. DOI:10.3390/w13040414

Liu, W., Zhan, J., Zhao, F., Yan, H., Zhang, F., & Wei, X. (2019). Impacts of urbanization-induced land-use changes on ecosystem services: A case study of the Pearl River Delta Metropolitan Region, China. Ecological Indicators, 98, 228-238. DOI 10.1016/j.ecolind.2018.10.054

Lv, C., Ling, M., Guo, X., Di, D., & Zhou, H. (2018). Evaluation method of water resource contribution rate in terms of emergy. In Proceedings of the International Workshop on Environmental Management, Science and Engineering (IWEMSE 2018) (pp. 34-41). https://www.scitepress.org/Papers/2018/75568/75568.pdf

Lv, H., Guan, X., & Meng, Y. (2020). Study on economic value of urban land resources based on emergy and econometric theories. Environment, Development and Sustainability, 23, 1019–1042. DOI: 10.1007/s10668-019-00573-4

Millennium Ecosystem Assessment (MEA). (2005). Ecosystems and human well-being: Synthesis. Washington, DC. ISBN 1-59726-040-1

Nahiduzzaman, K. M., & Sadiq, R. (2023). Planejamento e gestão de água e infraestrutura hídrica sob estresse climático. Environmental Reviews, 31(1), 1-3. https://doi.org/10.1139/er-2022-0127

Odum,H.T.(1996).Environmental accounting, EMERGY, and decision making. John Wiley & Sons. ISBN: 978-0-471-11442-0

Odum,H.T.,&Odum,E.C.(2001).Prosperous way down: Principles and policies (1st ed.). Brasil: Editora Vozes. ISBN: 978-0-87081-908-7

Oliveira Neto, G. C., Oliveira, J. C., & Librantz, A. F. H.

Selection of logistic service providers for the transportation of refrigerated goods. Production Planning & Control: The Management of Operations. https://doi.org/10.1080/09537287.2017.1319986

Pan, Y., Zhang, B., Wu, Y., & Tian, Y. (2020).

Sustainability assessment of urban ecological-economic systems based on emergy analysis: A case study in Simao, China. Ecological Indicators, 121, 107157. https://doi.org/[inserir DOI]

Pereira, E. B., Martins, F. R., Gonçalves, A. R., Costa, R. S., Lima, F. L., Ruther, R., Abreu, S. L., Tiempolo, G. M., Pereira, S. V., & Souza, J. G. (2017).

Atlas brasileiro de energia solar (2nd ed.). São José dos Campos: INPE. http://doi.org/10.34024/978851700089

Pulselli, F. M., Patrizi, N., & Focardi, S. (2011). Calculation of the unit emergy value of water in an Italian watershed. Ecological Modelling,

(16), 2929-2938. DOI: 10.1016/j.ecolmodel.2011.04.021

Ratnayaka, D. D., Brandt, M. J., & Johnson, K. M. (2009). Chemistry, microbiology, and biology of water. In Water supply (pp. 195–266). https://doi.org/10.1016/b978-0-7506-6843-9.00014-7

SABESP (2011).Programa Córrego Limpo - 100 Córregos 2007 – 2010. Companhia de Saneamento Básico do Estado de São Paulo. São Paulo, SP, Brasil. pp. 01–151.

Song, F., Su, F., Zhu, D., Li, L., Li, H., & Sun, D. (2019). Evaluation and driving factors of sustainable development of the wetland ecosystem in Northeast China: An emergy approach. Journal of Cleaner Production, 248, 119236. DOI:10.1016/j.jclepro.2019.119236

Song, F., Su, F., Mi, C., & Sun, D. (2021). Analysis of driving forces on wetland ecosystem services value change: A case in Northeast

China. Science of The Total Environment, 751, 141778. https://doi.org/10.1016/j.scitotenv.2020.141778

Su, M., Fath, B. D., Yang, Z., Chen, B., & Liu, G. (2013). Ecosystem health pattern analysis of urban clusters based on emergy synthesis: Results and implication for management. Energy Policy, 59, 600–613. https://doi.org/10.1016/j.scitotenv.2020.141778

Sun, J., Yuan, X., Liu, G., & Tian, K. (2019). Emergy and eco-exergy evaluation of wetland restoration based on the construction of a wetland landscape in the northwest Yunnan Plateau, China. Journal of Environmental Management, 252, 109499. DOI: 10.1016/j.jenvman.2019.109499

Sun, J., Yuan, X., Liu, H., & Liu, G. (2021). Emergy and eco-exergy evaluation of wetland reconstruction based on ecological engineering approaches in the Three Gorges Reservoir, China. Ecological Indicators, 122, 107278. https://doi.org/10.1016/j.ecolind.2020.107278

Wang, C., Li, X., Yu, H., & Wang, Y. (2019). Tracing the spatial variation and value change of ecosystem services in the Yellow River Delta, China. Ecological Indicators, 96, 270–277. https://doi.org/10.1016/j.ecolind.2018.09.015

Wu, Z, Di, D, Wang, H*, Wu, M, He, C. Analysis and emergy assessment of the eco-environmental benefits of rivers. Ecological Indicators, 2019, 106: 105472. https://doi.org/10.1016/j.ecolind.2019.105472

Yin, R Y. (2010). Estudo de caso – planejamento e métodos (4th ed.). Porto Alegre: Bookman. ISBN-10, ‎8577806553

Zeng, R., Zhao, Y., & Yang, Z. (2010). Emergy-based health assessment of Baiyangdian watershed ecosystem in temporal and spatial scales. Procedia Environmental Sciences, 2, 359–371. DOI:10.1016/j.proenv.2010.10.041

Zhan, J., Zhang, F., Chu, X., Liu, W., & Zhang, Y. (2018). Ecosystem services assessment based on emergy accounting in Chongming Island, Eastern China. Ecological Indicators, 105, 464-473. DOI:10.1016/j.ecolind.2018.04.015

Zhang, J., Fu, Y. C., Shi, W. L., & Guo, W. X. (2017). A method for estimating watershed restoration feasibility under different treatment levels. Water Science and Technology: Water Supply, 17(5), 1232–1240. DOI:10.2166/ws.2017.017

Zhong, S., Geng, Y., Kong, H., Liu, B., Tian, X., Chen, W., & Ulgiati, S. (2018).

Emergy-based sustainability evaluation of Erhai Lake Basin in China. Journal of Cleaner Production, 178, 142–153. DOI:10.1016/j.jclepro.2018.01.019

Downloads

Published

2024-12-05

How to Cite

Flausino, F. R., Librantz, A. F. H., Oliveira Neto, G. C. de, & Faioli, R. A. (2024). Emergy assessment for depollution of the Charles de Gaulle stream in Brazil. Revista De Gestão Ambiental E Sustentabilidade, 13(1), e27555. https://doi.org/10.5585/2024.27555

Issue

Vol. 13 No. 1 (2024): Continuous flow

Section

Artigos

License

Copyright (c) 2024 Fabio Richard Flausino, André Felipe Henriques Librantz, Geraldo Cardoso de Oliveira Neto, Rafael A. Faioli

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC
Views
  • Abstract 151
  • pdf 36
  • pdf (Português (Brasil)) 44