SpringerLink
Log in

Advancing industrial wastewater treatment through comprehensive evaluation and innovative technology: a G1-entropy improved TOPSIS model approach

  • Published:
The Journal of Technology Transfer Aims and scope Submit manuscript

Abstract

This study proposes a comprehensive evaluation system for industrial sewage treatment projects based on the G1-Entropy Improved TOPSIS model to accurately quantify and objectively evaluate such projects. A comprehensive evaluation index system is constructed based on four levels: environmental, economic, managerial, and social. G1-entropy is used to revise the empirical results of experts and improve the accuracy and practicality of evaluation index weight. The study’s feasibility and practicality are demonstrated through the evaluation of a sewage treatment project by Q City Water Group Co., Ltd. in China. The research on multi-attribute decision-making is crucial, especially as stakeholders are increasingly involved in decision-making issues. Environmental problems, particularly water pollution, have become increasingly severe, necessitating the scientific evaluation of sewage treatment projects to improve living standards and promote social sustainability. This study proposes a comprehensive evaluation system and applies the G1-entropy improved TOPSIS model to determine an objective and accurate evaluation index weight. The improved TOPSIS method simplifies the calculation process, making it more efficient and practical. This study’s technological implications are significant, as it presents a novel and efficient approach for evaluating sewage treatment projects. The proposed system and model can provide technical support and decision-making guidance for the operation and management of sewage treatment projects, thus enhancing their efficiency and effectiveness. Additionally, the study’s practical implications are important for promoting the sustainable development of environmental projects and enterprises. The proposed evaluation system can improve the quality of life for residents and promote the sustainable development of society.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Abbott, B. W., Bishop, K., Zarnetske, J. P., Minaudo, C., Chapin, F. S., III., Krause, S., Hannah, D. M., Conner, L., Ellison, D., Godsey, S. E., Plont, S., & Pinay, G. (2019). Human domination of the global water cycle absent from depictions and perceptions. Nature Geoscience, 12(7), 533–540.

    Article  Google Scholar 

  • Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., Makarenkov, V., & Nahavandi, S. (2021). A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Information Fusion, 76, 243–297.

    Article  Google Scholar 

  • Aguilera-Caracuel, J., & Ortiz-de-Mandojana, N. (2013). Green innovation and financial performance: An institutional approach. Organization & Environment, 26(4), 365–385.

    Article  Google Scholar 

  • Ahuja, S. (2021). Water quality worldwide. Handbook of water purity and quality (pp. 19–33). Academic Press.

    Chapter  Google Scholar 

  • Aksaç, S., & Ulukan, H. Z. (2022). Efficiency evaluation of wastewater treatment plants through interval data envelopment analysis: A case study in Turkey. In Intelligent and fuzzy systems: Digital acceleration and the new normal-proceedings of the INFUS 2022 conference (Vol. 2, pp. 208–215). Springer

  • Al Sawaf, M. B., & Karaca, F. (2018). Different stakeholders’ opinions toward the sustainability of common textile wastewater treatment technologies in Turkey: A Case study Istanbul province. Sustainable Cities and Society, 42, 194–205.

    Article  Google Scholar 

  • Antonelli, C. (2006). Diffusion as a process of creative adoption. The Journal of Technology Transfer, 31, 211–226.

    Article  Google Scholar 

  • Badr, N. B., Al-Qahtani, K. M., Alflaij, S. O., Al-Qahtani, S. F., & Al-Saad, M. A. (2020). The effect of industrial and sewage discharges on the quality of receiving waters and human health, Riyadh City-Saudi Arabia. The Egyptian Journal of Aquatic Research, 46(2), 116–122.

    Article  Google Scholar 

  • Baggio, G., Qadir, M., & Smakhtin, V. (2021). Freshwater availability status across countries for human and ecosystem needs. Science of the Total Environment, 792, 148230.

    Article  Google Scholar 

  • Barjoveanu, G., Cojocariu, C., Robu, B., & Teodosiu, C. (2010). Integrated assessment of wastewater treatment plants for sustainable river basin management. Environmental Engineering and Management Journal, 9(9), 1251–1258.

    Article  Google Scholar 

  • Bell, M. L., Hobbs, B. F., & Ellis, H. (2003). The use of multi-criteria decision-making methods in the integrated assessment of climate change: Implications for IA practitioners. Socio-Economic Planning Sciences, 37(4), 289–316.

    Article  Google Scholar 

  • Benedetti, L., Dirckx, G., Bixio, D., Thoeye, C., & Vanrolleghem, P. A. (2008). Environmental and economic performance assessment of the integrated urban wastewater system. Journal of Environmental Management, 88(4), 1262–1272.

    Article  Google Scholar 

  • Botín-Sanabria, D. M., Mihaita, A. S., Peimbert-García, R. E., Ramírez-Moreno, M. A., Ramírez-Mendoza, R. A., & Lozoya-Santos, J. D. J. (2022). Digital twin technology challenges and applications: A comprehensive review. Remote Sensing, 14(6), 1335.

    Article  Google Scholar 

  • Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., Karagiannidis, G., Wan, S., & Goudos, S. K. (2022). Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review. Internet of Things, 18, 100187.

    Article  Google Scholar 

  • Calapez, A. R., Elias, C. L., Almeida, S. F., Brito, A. G., & Feio, M. J. (2019). Sewage contamination under water scarcity effects on stream biota: Biofilm, grazers, and their interaction. Environmental Science and Pollution Research, 26, 26636–26645.

    Article  Google Scholar 

  • Caligan, C. J. A., Garcia, M. M. S., Mitra, J. L., & San Juan, J. L. G. (2022). Multi-objective optimization for a wastewater treatment plant and sludge-to-energy network. Journal of Cleaner Production, 368, 133047.

    Article  Google Scholar 

  • Carayannis, E. G., & Campbell, D. F. (2010). Triple Helix, Quadruple Helix and Quintuple Helix and how do knowledge, innovation and the environment relate to each other?: A proposed framework for a trans-disciplinary analysis of sustainable development and social ecology. International Journal of Social Ecology and Sustainable Development (IJSESD), 1(1), 41–69.

    Article  Google Scholar 

  • Chams, N., & García-Blandón, J. (2019). On the importance of sustainable human resource management for the adoption of sustainable development goals. Resources, Conservation and Recycling, 141, 109–122.

    Article  Google Scholar 

  • Chang, C. P. (2009). The relationships among corporate social responsibility, corporate image and economic performance of high-tech industries in Taiwan. Quality and Quantity, 43, 417–429.

    Article  Google Scholar 

  • Chen, L., & Pan, W. (2021). Review fuzzy multi-criteria decision-making in construction management using a network approach. Applied Soft Computing, 102, 107103.

    Article  Google Scholar 

  • Chen, Z., Ngo, H. H., Hu, H. Y., Guo, W., Wu, G., Shi, L., Sun, M., & Wang, D. (2020). Sustainability analysis of large-scale membrane bioreactor plant. Current developments in biotechnology and bioengineering (pp. 1–20). Elsevier.

    Google Scholar 

  • Cheshmeh, Z. A., Bigverdi, Z., Eqbalpour, M., Kowsari, E., Ramakrishna, S., & Gheibi, M. (2023). A comprehensive review of used electrical and electronic equipment management with a focus on the circular economy-based policy-making. Journal of Cleaner Production, 136132.

  • Chrispim, M. C., Scholz, M., & Nolasco, M. A. (2019). Phosphorus recovery from municipal wastewater treatment: Critical review of challenges and opportunities for develo** countries. Journal of Environmental Management, 248, 109268.

    Article  Google Scholar 

  • Cipollini, K. A., Maruyama, A. L., & Zimmerman, C. L. (2005). Planning for restoration: A decision analysis approach to prioritization. Restoration Ecology, 13(3), 460–470.

    Article  Google Scholar 

  • De Fraiture, C., Molden, D., & Wichelns, D. (2010). Investing in water for food, ecosystems, and livelihoods: An overview of the comprehensive assessment of water management in agriculture. Agricultural Water Management, 97(4), 495–501.

    Article  Google Scholar 

  • DiMuro, J. L., Guertin, F. M., Helling, R. K., Perkins, J. L., & Romer, S. (2014). A financial and environmental analysis of constructed wetlands for industrial wastewater treatment. Journal of Industrial Ecology, 18(5), 631–640.

    Article  Google Scholar 

  • Dogo, E. M., Salami, A. F., Nwulu, N. I., & Aigbavboa, C. O. (2019). Blockchain and internet of things-based technologies for intelligent water management system. Artificial intelligence in IoT, 129–150.

  • Dou, J., Ma, H., Yang, J., Zhang, Y., & Guo, R. (2021). An improved power quality evaluation for LED lamp based on G1-entropy method. IEEE Access, 9, 111171–111180.

    Article  Google Scholar 

  • Fan, W., & Hao, Y. (2020). An empirical research on the relationship amongst renewable energy consumption, economic growth and foreign direct investment in China. Renewable Energy, 146, 598–609.

    Article  Google Scholar 

  • Firouzi, S., Allahyari, M. S., Isazadeh, M., Nikkhah, A., & Van Haute, S. (2021). Hybrid multi-criteria decision-making approach to select appropriate biomass resources for biofuel production. Science of the Total Environment, 770, 144449.

    Article  Google Scholar 

  • Gao, X., & Zhang, D. (2018). Efficiency evaluation of the investment in urban sewage treatment via the three stage DEA method considering environmental factors. China Environmental Science, 38(9), 3594–3600.

    Google Scholar 

  • Gherghel, A., Teodosiu, C., Notarnicola, M., & De Gisi, S. (2020). Sustainable design of large wastewater treatment plants considering multi-criteria decision analysis and stakeholders’ involvement. Journal of Environmental Management, 261, 110158.

    Article  Google Scholar 

  • Gong, G., Qiang, R., Yang, J., Hou, R., Lv, Z., Xu, M., Liu, X., & Yang, H. (2023). A new power system source-end low carbonization evaluation system considering carbon control model. Energies, 16(1), 464.

    Article  Google Scholar 

  • Grimsey, D., & Lewis, M. K. (2002). Evaluating the risks of public private partnerships for infrastructure projects. International Journal of Project Management, 20(2), 107–118.

    Article  Google Scholar 

  • Grossmann, K., Connolly, J. J., Dereniowska, M., Mattioli, G., Nitschke, L., Thomas, N., & Varo, A. (2022). From sustainable development to social-ecological justice: Addressing taboos and naturalizations in order to shift perspective. Environment and Planning e: Nature and Space, 5(3), 1405–1427.

    Google Scholar 

  • Han, Y., Yan, X., & Piroozfar, P. (2022). An overall review of research on prefabricated construction supply chain management. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-07-2021-0668

    Article  Google Scholar 

  • Harclerode, M., Ridsdale, D. R., Darmendrail, D., Bardos, P., Alexandrescu, F., Nathanail, P., Pizzol, L., & Rizzo, E. (2015). Integrating the social dimension in remediation decision-making: State of the practice and way forward. Remediation Journal, 26(1), 11–42.

    Article  Google Scholar 

  • Harden-Davies, H., & Snelgrove, P. (2020). Science collaboration for capacity building: Advancing technology transfer through a treaty for biodiversity beyond national jurisdiction. Frontiers in Marine Science, 7, 40.

    Article  Google Scholar 

  • Haroun, M., Punjabi, S., Suboyin, A., Anastasiou, S., & de Bakker, J. (2019). Integrated management of water resources: A novel approach for water-stressed regions. Systems Research and Behavioral Science, 36(6), 827–834.

    Article  Google Scholar 

  • He, L., Du, Y., Wu, S., & Zhang, Z. (2021). Evaluation of the agricultural water resource carrying capacity and optimization of a planting-raising structure. Agricultural Water Management, 243, 106456.

    Article  Google Scholar 

  • Herman, J. D., Quinn, J. D., Steinschneider, S., Giuliani, M., & Fletcher, S. (2020). Climate adaptation as a control problem: Review and perspectives on dynamic water resources planning under uncertainty. Water Resources Research, 56(2), e24389.

    Article  Google Scholar 

  • Hussain, M. I., & Qureshi, A. S. (2020). Health risks of heavy metal exposure and microbial contamination through consumption of vegetables irrigated with treated wastewater at Dubai, UAE. Environmental Science and Pollution Research, 27, 11213–11226.

    Article  Google Scholar 

  • Hwang, C. L., & Masud, A. S. M. (2012). Multiple objective decision making—Methods and applications: A state-of-the-art survey (Vol. 164). Springer.

    Google Scholar 

  • Jamwal, P., Mittal, A. K., & Mouchel, J. M. (2009). Efficiency evaluation of sewage treatment plants with different technologies in Delhi (India). Environmental Monitoring and Assessment, 153, 293–305.

    Article  Google Scholar 

  • Jaramillo, M. F., & Restrepo, I. (2017). Wastewater reuse in agriculture: A review about its limitations and benefits. Sustainability, 9(10), 1734.

    Article  Google Scholar 

  • Jian, J., Zhang, Y., Jiang, L., & Su, J. (2020). Coordination of supply chains with competing manufacturers considering fairness concerns. Complexity, 2020, 1–15.

    Article  Google Scholar 

  • Jianga, H., Tanga, J., Lia, X., Fanga, W., Bianb, Y., Mia, X., Shanc, D., & Daia, Y. (2021). Rural domestic sewage treatment in Northeast cold region of China: Rational evaluation of technology options. Desalination and Water Treatment, 229, 153–166.

    Article  Google Scholar 

  • Kalbar, P. P., Karmakar, S., & Asolekar, S. R. (2012). Technology assessment for wastewater treatment using multiple-attribute decision-making. Technology in Society, 34(4), 295–302.

    Article  Google Scholar 

  • Kalbar, P. P., Karmakar, S., & Asolekar, S. R. (2013). The influence of expert opinions on the selection of wastewater treatment alternatives: A group decision-making approach. Journal of Environmental Management, 128, 844–851.

    Article  Google Scholar 

  • Kamble, S. J., Singh, A., & Kharat, M. G. (2017). A hybrid life cycle assessment based fuzzy multi-criteria decision making approach for evaluation and selection of an appropriate municipal wastewater treatment technology. Euro-Mediterranean Journal for Environmental Integration, 2, 1–17.

    Article  Google Scholar 

  • Kartal, H., Oztekin, A., Gunasekaran, A., & Cebi, F. (2016). An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification. Computers & Industrial Engineering, 101, 599–613.

    Article  Google Scholar 

  • Kazakov, R., Howick, S., & Morton, A. (2021). Managing complex adaptive systems: A resource/agent qualitative modelling perspective. European Journal of Operational Research, 290(1), 386–400.

    Article  Google Scholar 

  • Khajeh Hoseini, L., Jalilzadeh Yengejeh, R., Mohammadi Rouzbahani, M., & Sabz Alipour, S. (2020). Planning the decision-making process and strategic management of ROP wastewater treatment system in Abadan Oil Refinery with a combined benefit of SWOT and AHP. Journal of Advances in Environmental Health Research, 8(4), 250–259.

    Google Scholar 

  • Kruger, S., & Steyn, A. A. (2020). Enhancing technology transfer through entrepreneurial development: Practices from innovation spaces. The Journal of Technology Transfer, 45(6), 1655–1689.

    Article  Google Scholar 

  • Laspidou, C. S., Mellios, N. K., Spyropoulou, A. E., Kofinas, D. T., & Papadopoulou, M. P. (2020). Systems thinking on the resource nexus: Modeling and visualisation tools to identify critical interlinkages for resilient and sustainable societies and institutions. Science of the Total Environment, 717, 137264.

    Article  Google Scholar 

  • Lattimore, D. (2019). Water management: Problems and potential for communications in technology transfer. Irrigation management in develo** countries: Current issues and approaches (pp. 509–534). Routledge.

    Chapter  Google Scholar 

  • Lee, S. Y., & Klassen, R. D. (2008). Drivers and enablers that foster environmental management capabilities in small-and medium-sized suppliers in supply chains. Production and Operations Management, 17(6), 573–586.

    Article  Google Scholar 

  • Lesne, A. (2014). Shannon entropy: A rigorous notion at the crossroads between probability, information theory, dynamical systems and statistical physics. Mathematical Structures in Computer Science, 24(3), e240311.

    Article  Google Scholar 

  • Li, G., Li, G., & Zhou, M. (2019). Comprehensive evaluation model of wind power accommodation ability based on macroscopic and microscopic indicators. Protection and Control of Modern Power Systems, 4, 1–12.

    Article  Google Scholar 

  • Li, Y., Khalkhali, M., Mo, W., & Lu, Z. (2021). Modeling spatial diffusion of decentralized water technologies and impacts on the urban water systems. Journal of Cleaner Production, 315, 128169.

    Article  Google Scholar 

  • Li, Y., Lin, C., Wang, Y., Gao, X., **e, T., Hai, R., Wang, X., & Zhang, X. (2017). Multi-criteria evaluation method for site selection of industrial wastewater discharge in coastal regions. Journal of Cleaner Production, 161, 1143–1152.

    Article  Google Scholar 

  • Lin, A., Xu, Y., & Shen, H. (2022). Quantitative analysis of human behavior in environmental protection. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-022-00977-0

    Article  Google Scholar 

  • Lindsten, D. C. (1984). Technology transfer: Water purification, US Army to the civilian community. The Journal of Technology Transfer, 9(1), 57–59.

    Article  Google Scholar 

  • Liu, J., Yang, H., Gosling, S. N., Kummu, M., Flörke, M., Pfister, S., Hanasaki, N., Wada, Y., Zhang, X., Zheng, C., Alcamo, J., & Oki, T. (2017). Water scarcity assessments in the past, present, and future. Earth’s Future, 5(6), 545–559.

    Article  Google Scholar 

  • Liu, P., Lü, S., Han, Y., Wang, F., & Tang, L. (2022). Comprehensive evaluation on water resources carrying capacity based on water-economy-ecology concept framework and EFAST-cloud model: A case study of Henan Province, China. Ecological Indicators, 143, 109392.

    Article  Google Scholar 

  • Liu, Y., Du, J. L., & Wang, Y. H. (2019). An improved grey group decision-making approach. Applied Soft Computing, 76, 78–88.

    Article  Google Scholar 

  • Lom, M., & Pribyl, O. (2021). Smart city model based on systems theory. International Journal of Information Management, 56, 102092.

    Article  Google Scholar 

  • Lu, J., Wei, C., Wu, J., & Wei, G. (2019). TOPSIS method for probabilistic linguistic MAGDM with entropy weight and its application to supplier selection of new agricultural machinery products. Entropy, 21(10), 953.

    Article  Google Scholar 

  • Ma, Z. F. (2012). The effectiveness of Kyoto Protocol and the legal institution for international technology transfer. The Journal of Technology Transfer, 37, 75–97.

    Article  Google Scholar 

  • Mahjouri, M., Ishak, M. B., Torabian, A., Abd Manaf, L., Halimoon, N., & Ghoddusi, J. (2017). Optimal selection of Iron and Steel wastewater treatment technology using integrated multi-criteria decision-making techniques and fuzzy logic. Process Safety and Environmental Protection, 107, 54–68.

    Article  Google Scholar 

  • Marchetti, D., Oliveira, R., & Figueira, A. R. (2019). Are global north smart city models capable to assess Latin American cities? A model and indicators for a new context. Cities, 92, 197–207.

    Article  Google Scholar 

  • Martínez-Huitle, C. A., Rodrigo, M. A., Sirés, I., & Scialdone, O. (2023). A critical review on latest innovations and future challenges of electrochemical technology for the abatement of organics in water. Applied Catalysis B: Environmental, 122430.

  • Maryam, B., & Büyükgüngör, H. (2019). Wastewater reclamation and reuse trends in Turkey: Opportunities and challenges. Journal of Water Process Engineering, 30, 100501.

    Article  Google Scholar 

  • McGovern, J. F. (1995). Innovative economic development: The Georgia environmental technology consortium. The Journal of Technology Transfer, 20(3–4), 56–63.

    Article  Google Scholar 

  • Mels, A. R., van Nieuwenhuijzen, A. F., van der Graaf, J. H., Klapwijk, B., de Koning, J., & Rulkens, W. H. (1999). Sustainability criteria as a tool in the development of new sewage treatment methods. Water Science and Technology, 39(5), 243–250.

    Article  Google Scholar 

  • Mohammed, M. A., Abdulkareem, K. H., Al-Waisy, A. S., Mostafa, S. A., Al-Fahdawi, S., Dinar, A. M., Alhakami, W., Abdullah, B. A. Z., Al-Mhiqani, M. N., Alhakami, H., Arbaiy, N., & Díez, T. (2020). Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods. IEEE Access, 8, 99115–99131.

    Article  Google Scholar 

  • Molden, D. (Ed.). (2013). Water for food water for life: A comprehensive assessment of water management in agriculture. Routledge.

    Google Scholar 

  • Muga, H. E., & Mihelcic, J. R. (2008). Sustainability of wastewater treatment technologies. Journal of Environmental Management, 88(3), 437–447.

    Article  Google Scholar 

  • Neves, A., Godina, R., Azevedo, S. G., & Matias, J. C. (2020). A comprehensive review of industrial symbiosis. Journal of Cleaner Production, 247, 119113.

    Article  Google Scholar 

  • Ouyang, X., Guo, F., Shan, D., Yu, H., & Wang, J. (2015). Development of the integrated fuzzy analytical hierarchy process with multidimensional scaling in selection of natural wastewater treatment alternatives. Ecological Engineering, 74, 438–447.

    Article  Google Scholar 

  • Padilla-Rivera, A., Morgan-Sagastume, J. M., Noyola, A., & Güereca, L. P. (2016). Addressing social aspects associated with wastewater treatment facilities. Environmental Impact Assessment Review, 57, 101–113.

    Article  Google Scholar 

  • Pérez, I. J., Cabrerizo, F. J., Alonso, S., Dong, Y. C., Chiclana, F., & Herrera-Viedma, E. (2018). On dynamic consensus processes in group decision making problems. Information Sciences, 459, 20–35.

    Article  Google Scholar 

  • Plaza-Úbeda, J. A., Pérez-Valls, M., Céspedes-Lorente, J. J., & Payán-Sánchez, B. (2020). The contribution of systems theory to sustainability in degrowth contexts: The role of subsystems. Systems Research and Behavioral Science, 37(1), 68–81.

    Article  Google Scholar 

  • Qi, Y., Chan, F. K. S., Thorne, C., O’Donnell, E., Quagliolo, C., Comino, E., Pezzoli, A., Li, L., Griffiths, J., Sang, Y., & Feng, M. (2020). Addressing challenges of urban water management in Chinese sponge cities via nature-based solutions. Water, 12(10), 2788.

    Article  Google Scholar 

  • Qu, J., Wang, H., Wang, K., Yu, G., Ke, B., Yu, H. Q., Ren, H., Zheng, X., Li, J., Li, W. W., Gao, S., & Gong, H. (2019). Municipal wastewater treatment in China: Development history and future perspectives. Frontiers of Environmental Science & Engineering, 13, 1–7.

    Article  Google Scholar 

  • Rajaram, A., Kaiser, K., Le, T. M., Kim, J. H., & Frank, J. (2014). The power of public investment management: Transforming resources into assets for growth. World Bank Publications.

    Book  Google Scholar 

  • Röling, N. (2019). The agricultural research-technology transfer interface: A knowledge systems perspective. In D. Kaimowitz (Ed.), Making the link (pp. 1–42). CRC Press.

    Google Scholar 

  • Roshan, A., & Kumar, M. (2020). Water end-use estimation can support the urban water crisis management: A critical review. Journal of Environmental Management, 268, 110663.

    Article  Google Scholar 

  • Ruggerio, C. A. (2021). Sustainability and sustainable development: A review of principles and definitions. Science of the Total Environment, 786, 147481.

    Article  Google Scholar 

  • Sadeghi, A., Rose, E. L., & Madsen, T. K. (2021). Perceived export performance: A contingent measurement approach. Journal of International Marketing, 29(3), 63–84.

    Article  Google Scholar 

  • Savitz, A. (2013). The triple bottom line: How today’s best-run companies are achieving economic, social and environmental success-and how you can too. Wiley.

    Google Scholar 

  • Sawe, F. B., Kumar, A., Garza-Reyes, J. A., & Agrawal, R. (2021). Assessing people-driven factors for circular economy practices in small and medium-sized enterprise supply chains: Business strategies and environmental perspectives. Business Strategy and the Environment, 30(7), 2951–2965.

    Article  Google Scholar 

  • Shang, W. L., & Lv, Z. (2023). Low carbon technology for carbon neutrality in sustainable cities: A survey. Sustainable Cities and Society, 92, 104489.

    Article  Google Scholar 

  • Shanmugam, K., Gadhamshetty, V., Tysklind, M., Bhattacharyya, D., & Upadhyayula, V. K. (2022). A sustainable performance assessment framework for circular management of municipal wastewater treatment plants. Journal of Cleaner Production, 339, 130657.

    Article  Google Scholar 

  • Sharma, H. B., Vanapalli, K. R., Cheela, V. S., Ranjan, V. P., Jaglan, A. K., Dubey, B., Goel, S., & Bhattacharya, J. (2020). Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic. Resources, Conservation and Recycling, 162, 105052.

    Article  Google Scholar 

  • She, L., Han, S., & Liu, X. (2021). Application of quantum-like Bayesian network and belief entropy for interference effect in multi-attribute decision making problem. Computers & Industrial Engineering, 157, 107307.

    Article  Google Scholar 

  • Singh, J., Yadav, P., Pal, A. K., & Mishra, V. (2020). Water pollutants: Origin and status. Sensors in Water Pollutants Monitoring: Role of Material, 5–20.

  • Singh, E., Kumar, A., Mishra, R., & Kumar, S. (2022). Solid waste management during COVID-19 pandemic: Recovery techniques and responses. Chemosphere, 288, 132451.

    Article  Google Scholar 

  • Srinivas, R., Bhakar, P., & Singh, A. P. (2015). Groundwater quality assessment in some selected area of Rajasthan, India using fuzzy multi-criteria decision making tool. Aquatic Procedia, 4, 1023–1030.

    Article  Google Scholar 

  • Su, Y., Gao, W., Guan, D., & Zuo, T. A. (2020). Achieving urban water security: A review of water management approach from technology perspective. Water Resources Management, 34, 4163–4179.

    Article  Google Scholar 

  • Sucu, S., van Schaik, M. O., Esmeli, R., Ouelhadj, D., Holloway, T., Williams, J. B., Cruddas, P., Martinson, D. B., Chen, W. S., & Cappon, H. J. (2021). A conceptual framework for a multi-criteria decision support tool to select technologies for resource recovery from urban wastewater. Journal of Environmental Management, 300, 113608.

    Article  Google Scholar 

  • Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745–7754.

    Article  Google Scholar 

  • Tzanakakis, V. A., Paranychianakis, N. V., & Angelakis, A. N. (2020). Water supply and water scarcity. Water, 12(9), 2347.

    Article  Google Scholar 

  • van Eijck, J., Romijn, H., Smeets, E., Bailis, R., Rooijakkers, M., Hooijkaas, N., Verweij, P., & Faaij, A. (2014). Comparative analysis of key socio-economic and environmental impacts of smallholder and plantation based jatropha biofuel production systems in Tanzania. Biomass and Bioenergy, 61, 25–45.

    Article  Google Scholar 

  • Van Oldenborgh, G. J., Krikken, F., Lewis, S., Leach, N. J., Lehner, F., Saunders, K. R., Van Weele, M., Haustein, K., Li, S., Wallom, D., Sparrow, S., & Otto, F. E. (2021). Attribution of the Australian bushfire risk to anthropogenic climate change. Natural Hazards and Earth System Sciences, 21(3), 941–960.

    Article  Google Scholar 

  • Vargo, S. L., Akaka, M. A., & Wieland, H. (2020). Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective. Journal of Business Research, 116, 526–534.

    Article  Google Scholar 

  • Vlachokostas, C., Michailidou, A. V., & Achillas, C. (2021). Multi-criteria decision analysis towards promoting waste-to-energy management strategies: A critical review. Renewable and Sustainable Energy Reviews, 138, 110563.

    Article  Google Scholar 

  • Vörösmarty, C. J., Osuna, V. R., Cak, A. D., Bhaduri, A., Bunn, S. E., Corsi, F., Gastelumendi, J., Green, P., Harrison, I., Lawford, R., Marcotullio, P. J., & Uhlenbrook, S. (2018). Ecosystem-based water security and the Sustainable Development Goals (SDGs). Ecohydrology & Hydrobiology, 18(4), 317–333.

    Article  Google Scholar 

  • Wang, Q., Guidolin, M., Savic, D., & Kapelan, Z. (2015). Two-objective design of benchmark problems of a water distribution system via MOEAs: Towards the best-known approximation of the true Pareto front. Journal of Water Resources Planning and Management, 141(3), 04014060.

    Article  Google Scholar 

  • Wang, Z. X., & Wang, Y. Y. (2014). Evaluation of the provincial competitiveness of the Chinese high-tech industry using an improved TOPSIS method. Expert Systems with Applications, 41(6), 2824–2831.

    Article  Google Scholar 

  • Wei, Z. (2023). Risk assessment of China’s foreign direct investment in “One Belt, One Road”: Taking the green finance as a research perspective. Socio-Economic Planning Sciences, 101558.

  • Wu, T., Song, H., Wang, J., & Friedler, E. (2020). Framework, procedure, and tools for comprehensive evaluation of sustainable stormwater management: A review. Water, 12(5), 1231.

    Article  Google Scholar 

  • **ang, X., Li, Q., Khan, S., & Khalaf, O. I. (2021). Urban water resource management for sustainable environment planning using artificial intelligence techniques. Environmental Impact Assessment Review, 86, 106515.

    Article  Google Scholar 

  • **e, C., Cao, J., Chao, L., & Li, Y. (2020). Study on comprehensive assessment of water-resource safety based on improved TOPSIS coupled with GA-BP. Journal of Coastal Research, 105(SI), 33–35.

    Google Scholar 

  • Yao, L., Xu, Z., Lv, C., & Hashim, M. (2020). Incomplete interval type-2 fuzzy preference relations based on a multi-criteria group decision-making model for the evaluation of wastewater treatment technologies. Measurement, 151, 107137.

    Article  Google Scholar 

  • Yu, B. (2021). Ecological effects of new-type urbanization in China. Renewable and Sustainable Energy Reviews, 135, 110239.

    Article  Google Scholar 

  • Yu, D., & Pan, T. (2021). Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network. Expert Systems with Applications, 168, 114238.

    Article  Google Scholar 

  • Yu, X., Suntrayuth, S., & Su, J. (2020). A comprehensive evaluation method for industrial sewage treatment projects based on the improved entropy-topsis. Sustainability, 12(17), 6734.

    Article  Google Scholar 

  • Zhang, X., **, F., & Liu, P. (2013). A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number. Applied Mathematical Modelling, 37(5), 3467–3477.

    Article  Google Scholar 

  • Zhu, Q., Sarkis, J., & Lai, K. H. (2007). Green supply chain management: Pressures, practices and performance within the Chinese automobile industry. Journal of Cleaner Production, 15(11–12), 1041–1052.

    Article  Google Scholar 

  • Zou, Z. H., Yi, Y., & Sun, J. N. (2006). Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, 18(5), 1020–1023.

    Article  Google Scholar 

Download references

Funding

National Social Science Fund Project “a study on the distribution of value-added income from operational transfer of the right to use homestead in the separation of the three rights” (20BJY120); National Natural Science Fund Project “Management Honeypot Theory Exploration and Simulation Practice (70907080)”.

Author information

Authors and Affiliations

  1. National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing, 400067, China

    **n Yu & Stavros Sindakis

  2. International College, National Institute of Development Administration, Bangkok, 10240, Thailand

    Sid Suntrayuth

  3. School of Business, George Washington University, Washington, DC, 20052, USA

    Elias G. Carayannis

  4. School of Social Sciences, Hellenic Open University, 18 Aristotelous Street, 26335, Patras, Greece

    Stavros Sindakis

  5. Institute of Strategy, Entrepreneurship and Education for Growth, Athens, Greece

    Saloome Showkat

Authors
  1. **n Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sid Suntrayuth
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Elias G. Carayannis
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Stavros Sindakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Saloome Showkat
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elias G. Carayannis.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables 2, 3, 4, 5, 6, 7, 8 and 9.

Table 2 Original data of each index and importance ranking
Full size table
Table 3 The nondimensionalized data of the original data
Full size table
Table 4 The weight of the jth indicator in the ith scheme
Full size table
Table 5 Τhe entropy, importance ratio, and weight of each index
Full size table
Table 6 Weighted normalized data matrix
Full size table
Table 7 The positive and negative ideal points in improved TOPSIS
Full size table
Table 8 The Euclidean distance D* and D−, the relative proximity C* and its order via the improved TOPSIS
Full size table
Table 9 The Euclidean distance D* and D−, the relative proximity C* and its order via the traditional TOPSIS
Full size table

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, X., Suntrayuth, S., Carayannis, E.G. et al. Advancing industrial wastewater treatment through comprehensive evaluation and innovative technology: a G1-entropy improved TOPSIS model approach. J Technol Transf (2023). https://doi.org/10.1007/s10961-023-10032-y

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10961-023-10032-y

Keywords

JEL Classification

Search

Navigation