Forthcoming and Online First Articles

International Journal of Environmental Technology and Management

International Journal of Environmental Technology and Management (IJETM)

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International Journal of Environmental Technology and Management (3 papers in press)

Special Issue on: Novel Decision Technology Analytics for Evaluating Sustainable Strategies and Environmental Operations

  • Urban public transport planning methods under low carbon emission constraints   Order a copy of this article
    by Suli Zhang, Yulin Jiao, Xinhua Wang 
    Abstract: In order to reduce the carbon emissions of urban public transportation systems and improve service efficiency and coverage, a low-carbon emission constrained urban public transportation planning method is proposed. Firstly, three objective functions were set: minimising carbon emissions, minimising average waiting time for passengers, and maximising service coverage, with corresponding constraints clearly defined. Subsequently, based on these objective functions, a city public transportation planning model was constructed and solved using particle swarm optimisation algorithm. To enhance the efficiency of the problem-solving process, a mechanism capable of adaptation was devised to dynamically modify the inertia weight and acceleration constants within the particle swarm optimisation algorithm. The outcomes of the experiments indicate that this approach effectively curtails the average waiting period for passengers to 2.34 minutes and attains a substantial service coverage rate when the peak air quality index (AQI) reading is 88, thereby substantiating the efficacy of the planning methodology.
    Keywords: low carbon emissions; urban public transportation; transportation planning; particle swarm optimisation algorithm; adaptive mechanism.

  • An accurate prediction of environmental carrying capacity of tourist attractions under the coupling influence of multiple factors   Order a copy of this article
    by Jie Luo 
    Abstract: In order to overcome the problems of low coordination degree of multi-factor coupling, large deviation of prediction results and low subordinate degree of multi-factor coupling in traditional prediction methods, an accurate prediction method of environmental carrying capacity of tourist attractions under the coupling influence of multiple factors is proposed. The multi-factors influencing the environmental carrying capacity of tourist attractions are described by three elements, and the membership degree of multi-factors is calculated by fuzzy matter-element analysis. Determine the weight coefficient of the influencing factors, so as to build an accurate prediction model, and input the influencing factors into the model to get accurate prediction results. The experimental analysis has revealed that the utmost level of harmony exhibited in the integration of multiple factors through this approach can attain an exceptional 100% congruency, the prediction deviation rate of bearing capacity is 0.12%, and the membership degree of multi-factor coupling is high.
    Keywords: coupling influence of multiple factors; tourist attractions; environmental carrying capacity; weight coefficient.

  • Carbon performance rating evaluation method for thermal power enterprises based on fuzzy-AHP   Order a copy of this article
    by Jing Zhang, Zhengyang Peng, Hui Li, Xin Wen 
    Abstract: The shortcomings of traditional data processing techniques, characterised by their inherent uncertainty and ambiguity, give rise to flawed assessments of thermal power companies carbon efficiency. Consequently, there is a pressing need for an innovative evaluation approach that leverages the fuzzy-AHP methodology. This method begins by scrutinising the essence of carbon performance metrics and the structural framework of thermal power businesses. It then proceeds to construct a comprehensive set of evaluation indicators for carbon performance. The fuzzy-AHP technique is employed to hierarchically organise the evaluation levels of carbon performance for thermal power enterprises. By integrating the weights of individual indicators and utilising a fuzzy evaluation matrix, this method calculates a cumulative carbon performance score, facilitating the comprehensive evaluation process. Experimental outcomes reveal that this method achieves an impressive accuracy rate of up to 98%, while simultaneously reducing the evaluation duration significantly.
    Keywords: fuzzy-AHP; thermal power enterprises; carbon performance; grade evaluation.

 

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