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The European-wide environmental obstacles of inefficient and unsustainable recycling systems and flows constrain household waste (HW) management, endangering the circular economy. The European 2020 strategy and ongoing environmental disasters indicate the ineffectiveness of the current HW sustainability practices. This paper introduces an artificial intelligence (AI) approach for calculating urban residual waste, based on its generation level. It reforms the current diverse and high discrepancy levels of HW residual for EU-countries and Ukraine. Adopting a k-means clustering method with a multi-criteria taxonomic development level index (TIDL), it produces uniform clusters with higher accuracy and manageability. Findings discover and remedy opaque managerial practices, enabling sustainable and environment-friendly development at national and regional levels for EU-countries. Results reveal an increased number of clusters in crisis, contributing to a methodological reference for environmental planning. In conclusion, this AI approach could have a European-wide impact on sustainable economic value-chain, converging toward an eco-friendly economy. [Display omitted] • Analysis of household waste management strategies in EU and Ukraine. • A methodological reference for environmental planning that moves away from the current centralized model. • Implementation of k-means household waste clustering approach with situational analysis and planning. • AI clustering approach with a multi-criteria taxonomic index for higher accuracy and manageability of waste. • Exploration of integrated AI-development economics for EU-Ukraine environmental policy. [ABSTRACT FROM AUTHOR]

The practice of hair dyeing is a rapidly expanding industry on a global scale; however, it has become a major concern for Asian countries because they have been undergoing rapid transformations of their environment and lifestyles. While the socio-economic benefits and impacts of this globalization trend are widely understood, the environmental effects are largely unknown. In particular, commonly available oxidative dyes potentially pose specific environmental risks due to their use of a toxic aromatic amine p-Phenylenediamine (PPD). In investigating the environmental impacts of PPD chemicals, we first provide context to the study by setting out the socio-psychological drivers to industrial expansion in Asian countries along with an overview of research into its effects, to show that its environmental impacts are under-researched. We then investigate the environmental toxicity of PPD by focusing on the role of microbes in metabolizing waste products. Results show that Acinetobacter baumannii EB1 isolated from dye effluent prevents autoxidation of PPD under oxygen-enriched (shaking) or oxygen-deficient (static) conditions representing different environmental settings. Microbes transformed PPD into more toxic metabolites, which then significantly reduced plant growth, thereby having a direct bearing on ecosystem services. Based on the findings, we argue that stricter regulatory controls on hair dye wastewater are necessary, particularly in newly industrialising Asian countries where the expansion of commercial practice is most prevalent. • Bacteria transform paraphenylenediamine (PPD) into more toxic by-products. • Changing life-style has increased environmental exposure of PPD in Asia. • Besides human-health, PPD shows ecotoxicity - a hidden threat to ecosystem services. • Some Asian countries suffer unequally from PPD due to lax regulations on hair dyes. • Globally uniform regulations on hair dyes are required to protect the environment. [ABSTRACT FROM AUTHOR]

Rapid and large-scale industrial growth has imposed tremendous challenges to the sustainable development of cities in China. The evaluation of the environmental sustainability of industrial planning has become a top priority for improving urban sustainability. In this regard, a goal-oriented framework, called three-line environmental governance, was proposed in the latest Chinese environmental management policy. Three lines, consisting of an ecological conservation red line, an environmental quality bottom line and a resource utilization upper limit line are to be taken into account when evaluating the potential effects of an urban industrial development plan. In this paper, the fuzzy axiomatic design system was applied in the development of an evaluation process and an indicator system that can be used to evaluate industrial alternatives that are established based on the three lines requirement. In an application of this methodology, the Industrial Green Development Plan of the city of Ordos was taken as a case study to recommend an optimal alternative. The target accessibilities of five alternatives were evaluated by conducting a comprehensive comparison among the alternatives meeting the environmental sustainability objectives of all of the indicators. This research shows that the evaluation of environmental sustainability on the basis of the three-line environmental governance policy is an effective way of promoting industrial green development and integrating environmental management requirements into urban industrial planning. It proposes not only a universal process for evaluating the environmental sustainability of urban industrial alternatives, but also a feasible method of tracking and evaluating the performance of industrial green development. • Three-line environmental governance (TLEG) is a new goal-oriented policy in China. • TLEG provides a framework for decomposing environmental sustainability (ES) goals. • A holistic and unified evaluation indicator system is established under TLEG. • Fuzzy axiomatic design is used to evaluate the target accessibility of alternatives. • TLEG based ES evaluation serve as a potential way to promote green industrial growth. [ABSTRACT FROM AUTHOR]