Quarterly PM2.5 prediction using a novel seasonal grey model and its further application in health effects and economic loss assessment: evidences from Shanghai and Tianjin, China
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DOI: 10.1007/s11069-021-04614-y
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Cited by:
- Xiong, Xin & Hu, Xi & Tian, Tian & Guo, Huan & Liao, Han, 2022. "A novel Optimized initial condition and Seasonal division based Grey Seasonal Variation Index model for hydropower generation," Applied Energy, Elsevier, vol. 328(C).
- Xiaojun Guo & Rui Zhang & Houxue Shen & Yingjie Yang, 2022. "An Optimized Damping Grey Population Prediction Model and Its Application on China’s Population Structure Analysis," IJERPH, MDPI, vol. 19(20), pages 1-25, October.
- Du, Pei & Guo, Ju'e & Sun, Shaolong & Wang, Shouyang & Wu, Jing, 2022. "A novel two-stage seasonal grey model for residential electricity consumption forecasting," Energy, Elsevier, vol. 258(C).
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Keywords
Quarterly PM2.5 prediction; Seasonal grey models; Health effects; Economic loss assessment;All these keywords.
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