Fair allocation of wastewater discharge permits based on satisfaction criteria using data envelopment analysis

Xie, Qiwei; Xu, Qifan; Zhu, Da; Rao, Kaifeng; Dai, Qinggang

doi:10.1016/j.jup.2020.101078

Cited by 12 publications

(3 citation statements)

References 55 publications

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“…In both cases, the efficiency levels estimated correspond to the emission permits reduction assigned to each DMU, following the overall cuts imposed on the group of DMUs. Xie et al (2020) proposed a fixed-cost allocation DEA-based model for the allocation of tradable pollution permits in the context of the industrial enterprise wastewater discharge permits, which also satisfies the fairness principle. The model was applied to 30 Chinese provinces and demonstrated that all provinces are Pareto-efficient (from an environmental perspective) after the allocation process.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This means removing the pollutants from the wastewater precisely at the level that is legally required. In doing so, a three‐stage DEA‐based approach is proposed, which includes some of the developments proposed by Golany and Thore (1997), particularly regarding the adoption of a system vision for the problem (Golany et al., 1993; Wang et al., 2013; Sun et al., 2014; Xie et al., 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

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A system‐level optimization framework for efficiency and effectiveness improvement of wastewater treatment plants

Camanho

Barbosa

Henriques

2022

Int Trans Operational Res

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Wastewater treatment plants constitute an essential part of the sewage system. They have the role of removing pollutants from wastewater to enable the safe disposal of the treated effluent in the natural environment. This research seeks to evaluate plants' efficiency and effectiveness, which involves minimizing energy consumption while obtaining a quality level of the treated water aligned with legislation requirements. We explore two policy scenarios regarding the measurement of effluent quality. The first assumes that pollutants' emission quotas (EQs) are fixed at each plant. The second assumes that quotas are set for the receiving waters (e.g., river or watercourse in the natural environment) so that trade‐offs in EQs among plants sharing the same discharge site are possible. This latter scenario requires a system‐wide analysis to identify optimal targets for pollutants removal at each plant that allow fulfilling the expected average quality levels of the effluent discharged. This paper develops a methodology to fully realize the potential for energy savings based on an innovative mixed‐integer linear programming model. This model follows the data envelopment analysis axioms to estimate the frontier of the production possibility set. The approach proposed is tested in a real‐world context using the plants of a Portuguese water company. The results show that the two scenarios combining efficiency and effectiveness perspectives have advantages in terms of energy savings compared to the conventional situation focused only on efficiency gains. The saving potential is slightly higher in the scenario allowing reallocation of EQs among plants.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A system‐level optimization framework for efficiency and effectiveness improvement of wastewater treatment plants

Camanho

Barbosa

Henriques

2022

Int Trans Operational Res

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“…Furthermore, computable general equilibrium (CGE) models are frequently used to assess the influence of regional population, economy, and technology on the environment, but their assumptions are more rigorous, making them complex and difficult to grasp [36]. Other models used to describe the interaction between eco-environment and socioeconomic include system dynamics (SD) models (Guan et al, 2011), fuzzy comprehensive assessment models, gray correlation analysis [37], and input-output models [38].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Examination of the Coupling Coordination Development of Energy Environment and Socioeconomic: A Case Study of the Yangtze River Economic Belt in China

Huang,

Yang

2024

Pol. J. Environ. Stud.

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Investigating the degree of coupled energy environment (EE) and socioeconomic (SE) coordination is becoming a commonly understood necessity in the process of achieving SDGs. The provinces along the Yangtze River Economic Belt (YREB) in China have significant spatial variations in their energy endowment, industrial structure, and ecological environment, and assessing the spatiotemporal evolution and coordination of EE and SE can provide valuable insights into the development trajectory of the area. This work revealed the interaction mechanism between EE and SE and developed a novel coupling coordination analysis framework, which integrated the dynamic deviation maximum method and the improved coupling coordination degree model. The dynamic deviation maximum method is used to evaluate the performance of the EE subsystem and SE subsystem, while the improved coupling coordination degree (CCD) model is used to assess the spatiotemporal effect between EE and SE in the YREB. The results show that the overall development of CCD between EE and SE demonstrated a growing trend over time and forms a spatial pattern of downstream>midstream>upstream. Additionally, the investment intensity of industrial structure and environmental management has a catalytic effect on CCD, whereas industrial pollution emissions, energy consumption, and fixed asset investment intensity have a suppressive effect. These findings can provide valuable insights for decision-making in urban planning, large-scale engineering construction, energy structure transformation, and green low-carbon development.

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Ethical Considerations in AI-Driven Wastewater Treatment

Singh,

Kaur,

Agrawal

2024

Springer Water

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Fair allocation of wastewater discharge permits based on satisfaction criteria using data envelopment analysis

Cited by 12 publications

References 55 publications

A system‐level optimization framework for efficiency and effectiveness improvement of wastewater treatment plants

A system‐level optimization framework for efficiency and effectiveness improvement of wastewater treatment plants

An Empirical Examination of the Coupling Coordination Development of Energy Environment and Socioeconomic: A Case Study of the Yangtze River Economic Belt in China

Ethical Considerations in AI-Driven Wastewater Treatment

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