Spatial–temporal redundancy evaluation of the municipal solid waste incineration treatment capacity: the case study of China
Author:
Funder
National Natural Science Foundation of China
Social Science Foundation of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-26989-0.pdf
Reference45 articles.
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2. Abbasi M, El Hanandeh A (2016) Forecasting municipal solid waste generation using artificial intelligence modelling approaches. Waste Manage 56:13–22. https://doi.org/10.1016/j.wasman.2016.05.018
3. Abdoli MA, Falahnezhad M, Behboudian S (2011) Multivariate econometric approach for solid waste generation modeling: impact of climate factors. Environ Eng Sci 28(9):627–633. https://doi.org/10.1089/ees.2010.0234
4. Adamović VM, Antanasijević DZ, Ristić MĐ, Perić-Grujić AA, Pocajt VV (2017) Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis. Environ Sci Pollut Res 24(1):299–311. https://doi.org/10.1007/s11356-016-7767-x
5. Ali SA, Ahmad A (2019) Forecasting MSW generation using artificial neural network time series model: a study from metropolitan city. SN Appl Sci 1(11):1338. https://doi.org/10.1007/s42452-019-1382-7
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