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Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China
Research article (Journal of Applied Meteorology and Climatology, 2020) · cited 49× · AI/ML
Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China
Summary
Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China is a scholarly article[1].
Key Facts
Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China's A Case Study in Henan Province, China — 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). Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-a-hybrid-arimasvr-model-based-on-the-spi-for-the-forecast-of-droughta-case-study-in-henan-province-china
MLA“Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-a-hybrid-arimasvr-model-based-on-the-spi-for-the-forecast-of-droughta-case-study-in-henan-province-china.
BibTeX@misc{4ortxyz_application-of-a-hybrid-arimasvr-model-based-on-the-spi-for-the-forecast-of-droughta-case-study-in-henan-province-china_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-a-hybrid-arimasvr-model-based-on-the-spi-for-the-forecast-of-droughta-case-study-in-henan-province-china}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China — https://4ort.xyz/entity/application-of-a-hybrid-arimasvr-model-based-on-the-spi-for-the-forecast-of-droughta-case-study-in-henan-province-china (retrieved 2026-05-24)
