Artificial Intelligence Technologies for Forecasting Air Pollution and Human Health: A Narrative Review
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Jianzhou Wang & Tong Niu & Rui Wang, 2017. "Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model," IJERPH, MDPI, vol. 14(3), pages 1-33, March.
- Xinyue Mo & Lei Zhang & Huan Li & Zongxi Qu, 2019. "A Novel Air Quality Early-Warning System Based on Artificial Intelligence," IJERPH, MDPI, vol. 16(19), pages 1-25, September.
- Muhammad Muhitur Rahman & Md Shafiullah & Syed Masiur Rahman & Abu Nasser Khondaker & Abduljamiu Amao & Md. Hasan Zahir, 2020. "Soft Computing Applications in Air Quality Modeling: Past, Present, and Future," Sustainability, MDPI, vol. 12(10), pages 1-33, May.
- Lu Bai & Jianzhou Wang & Xuejiao Ma & Haiyan Lu, 2018. "Air Pollution Forecasts: An Overview," IJERPH, MDPI, vol. 15(4), pages 1-44, April.
- Thomas Wernberg & Dan A. Smale & Fernando Tuya & Mads S. Thomsen & Timothy J. Langlois & Thibaut de Bettignies & Scott Bennett & Cecile S. Rousseaux, 2013. "An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot," Nature Climate Change, Nature, vol. 3(1), pages 78-82, January.
- Pier Mannuccio Mannucci & Massimo Franchini, 2017. "Health Effects of Ambient Air Pollution in Developing Countries," IJERPH, MDPI, vol. 14(9), pages 1-8, September.
- Ali, Mumtaz & Prasad, Ramendra, 2019. "Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 281-295.
- Donghyun Lee & Suna Kang & Jungwoo Shin, 2017. "Using Deep Learning Techniques to Forecast Environmental Consumption Level," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Dinggao Liu & Zhenpeng Tang & Yi Cai, 2022. "A Hybrid Model for China’s Soybean Spot Price Prediction by Integrating CEEMDAN with Fuzzy Entropy Clustering and CNN-GRU-Attention," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
- Xianpu Xu & Yuchen Song, 2023. "Is There a Conflict between Automation and Environment? Implications of Artificial Intelligence for Carbon Emissions in China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Hone-Jay Chu & Muhammad Zeeshan Ali, 2020. "Establishment of Regional Concentration–Duration–Frequency Relationships of Air Pollution: A Case Study for PM 2.5," IJERPH, MDPI, vol. 17(4), pages 1-13, February.
- Ali, Mumtaz & Prasad, Ramendra & Xiang, Yong & Deo, Ravinesh C., 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
- Sasikumar Gurumoorthy & Aruna Kumari Kokku & Przemysław Falkowski-Gilski & Parameshachari Bidare Divakarachari, 2023. "Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
- Chih‐Hsuan Wang & Chia‐Rong Chang, 2023. "Forecasting air quality index considering socioeconomic indicators and meteorological factors: A data granularity perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1261-1274, August.
- Lina M. Rasmusson & Aekkaraj Nualla-ong & Tarawit Wutiruk & Mats Björk & Martin Gullström & Pimchanok Buapet, 2021. "Sensitivity of Photosynthesis to Warming in Two Similar Species of the Aquatic Angiosperm Ruppia from Tropical and Temperate Habitats," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
- Jin-Young Kim & Sung-Bae Cho, 2019. "Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder," Energies, MDPI, vol. 12(4), pages 1-14, February.
- Yun Tan & Changshu Zhan & Youchun Pi & Chunhui Zhang & Jinghui Song & Yan Chen & Amir-Mohammad Golmohammadi, 2023. "A Hybrid Algorithm Based on Social Engineering and Artificial Neural Network for Fault Warning Detection in Hydraulic Turbines," Mathematics, MDPI, vol. 11(10), pages 1-18, May.
- Balasooriya, Namal N. & Bandara, Jayatilleke S. & Rohde, Nicholas, 2022. "Air pollution and health outcomes: Evidence from Black Saturday Bushfires in Australia," Social Science & Medicine, Elsevier, vol. 306(C).
- Gao, Ruobin & Li, Ruilin & Hu, Minghui & Suganthan, Ponnuthurai Nagaratnam & Yuen, Kum Fai, 2023. "Dynamic ensemble deep echo state network for significant wave height forecasting," Applied Energy, Elsevier, vol. 329(C).
- Ali, Mumtaz & Prasad, Ramendra & Xiang, Yong & Jamei, Mehdi & Yaseen, Zaher Mundher, 2023. "Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting," Renewable Energy, Elsevier, vol. 205(C), pages 731-746.
- Jelonia T. Rumph & Victoria R. Stephens & Joanie L. Martin & LaKendria K. Brown & Portia L. Thomas & Ayorinde Cooley & Kevin G. Osteen & Kaylon L. Bruner-Tran, 2022. "Uncovering Evidence: Associations between Environmental Contaminants and Disparities in Women’s Health," IJERPH, MDPI, vol. 19(3), pages 1-22, January.
- Francesco Fuso Nerini & Julia Tomei & Long Seng To & Iwona Bisaga & Priti Parikh & Mairi Black & Aiduan Borrion & Catalina Spataru & Vanesa Castán Broto & Gabrial Anandarajah & Ben Milligan & Yacob Mu, 2018. "Mapping synergies and trade-offs between energy and the Sustainable Development Goals," Nature Energy, Nature, vol. 3(1), pages 10-15, January.
- Yun Bai & Zhenzhong Sun & Jun Deng & Lin Li & Jianyu Long & Chuan Li, 2017. "Manufacturing Quality Prediction Using Intelligent Learning Approaches: A Comparative Study," Sustainability, MDPI, vol. 10(1), pages 1-15, December.
- Wang, Huaizhi & Xue, Wenli & Liu, Yitao & Peng, Jianchun & Jiang, Hui, 2020. "Probabilistic wind power forecasting based on spiking neural network," Energy, Elsevier, vol. 196(C).
- Xiaobing Yu & Chenliang Li & Hong Chen & Zhonghui Ji, 2020. "Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
- Qin Song & Yu-Jun Zheng & Jun Yang, 2019. "Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods," IJERPH, MDPI, vol. 16(5), pages 1-12, March.
- Karl Kilbo Edlund & Felicia Killman & Peter Molnár & Johan Boman & Leo Stockfelt & Janine Wichmann, 2021. "Health Risk Assessment of PM 2.5 and PM 2.5 -Bound Trace Elements in Thohoyandou, South Africa," IJERPH, MDPI, vol. 18(3), pages 1-11, February.
- Browne, Katherine & Katz, Laure & Agrawal, Arun, 2022. "Futures of conservation funding: Can Indonesia sustain financing of the Bird’s Head Seascape?," World Development Perspectives, Elsevier, vol. 26(C).
- Yuchen Zhang & Zhenquan Zhang & Jun Wang & Jian Qin & Shuting Huang & Gang Xue & Yanjun Liu, 2024. "Research on Excitation Estimation for Ocean Wave Energy Generators Based on Extended Kalman Filtering," Energies, MDPI, vol. 17(3), pages 1-17, February.
- Elham M. Al-Ali & Yassine Hajji & Yahia Said & Manel Hleili & Amal M. Alanzi & Ali H. Laatar & Mohamed Atri, 2023. "Solar Energy Production Forecasting Based on a Hybrid CNN-LSTM-Transformer Model," Mathematics, MDPI, vol. 11(3), pages 1-19, January.
More about this item
Keywords
air pollution; artificial intelligence; climate change; human health; machine learning;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9951-:d:886046. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.