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Irumva, O., Twagirayezu, G., Uwimpaye, F., Ntakiyimana, C., Manzi, H. P., Nyirandayisabye, R., Hakuzweyezu, T., Nizeyimana, J. C., & Itangishaka, A. C. (2023). Amalgamating Weather-Related Indigenous Knowledge into Modern Forecasting Knowledge Adopted by Farmers on Climate Prediction. Novel Perspectives of Geography, Environment and Earth Sciences, 6, 121-134.
https://doi.org/10.9734/bpi/npgees/v6/6026A

has been cited by the following article:

• TITLE: Analysis of Heavy Precipitation Event in Northeast China from August 1 to 5, 2023

  AUTHORS: Songyang Wang

  KEYWORDS: Heavy Precipitation, Eurasian Circulation, Typhoon Doksuri, Water Vapor Transport, Regional Heavy Rainfall Mechanism

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.12 No.5, May 29, 2024

  ABSTRACT: This study delves into the multiple weather systems and their interaction mechanisms that caused the severe rainfall event in Northeast China in early August 2023. The analysis reveals that the atmospheric circulation in the mid-to-high latitudes of the Eurasian continent exhibited a significant “two troughs and two ridges” structure, with Northeast China located precisely in the peripheral region of the subtropical high, significantly influenced by its marginal airflows. Additionally, the residual circulation of Typhoon “Doksuri” interacting with the subtropical high and upper-level troughs significantly increased the rainfall intensity and duration in the region. In particular, the continuous and powerful transport of the southwest jet provided the necessary moisture and unstable conditions for the generation and development of convective systems. The rainfall event resulted in nearly 40,000 people affected and crop damage covering an area of approximately 4000 hectares, demonstrating the severity of extreme weather. The study emphasizes that strengthening meteorological monitoring and early warning systems, as well as formulating and improving emergency response mechanisms, are crucial for reducing potential disaster losses caused by heavy rainfall. Future research can further explore the interaction mechanisms among weather systems, limitations of data sources, and the connection between long-term trends of heavy rainfall events and global climate change.