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Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China
Research article (Sustainability, 2020) · cited 46× · AI/ML
Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China
Summary
Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China is a scholarly article[1].
Key Facts
Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-the-effectiveness-of-air-pollution-control-policies-based-on-historical-evaluation-and-deep-learning-forecas
MLA“Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-the-effectiveness-of-air-pollution-control-policies-based-on-historical-evaluation-and-deep-learning-forecas.
BibTeX@misc{4ortxyz_analysis-of-the-effectiveness-of-air-pollution-control-policies-based-on-historical-evaluation-and-deep-learning-forecas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-the-effectiveness-of-air-pollution-control-policies-based-on-historical-evaluation-and-deep-learning-forecas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China — https://4ort.xyz/entity/analysis-of-the-effectiveness-of-air-pollution-control-policies-based-on-historical-evaluation-and-deep-learning-forecas (retrieved 2026-05-24)
