Spatio-temporal distribution and transport pathways analysis of sand and dust weather in North China

Lei Fan (), Yi Wang (), Bin He () and Chenglin Cao ()
Additional contact information
Lei Fan: North China Electric Power University
Yi Wang: North China Electric Power University
Bin He: Guangdong Academy of Sciences
Chenglin Cao: North China Electric Power University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 6, No 44, 7425-7445

Abstract: Abstract This study commences by extracting hourly data on PM10 and PM2.5 concentrations to discern occurrences of sand and dust events in the North China region spanning from 2015 to 2023. Subsequently, the HYSPLIT model is employed to precisely locate the sources and track the migration routes of specific representative sand and dust weather occurrences. Additionally, the study investigates the interplay between meteorological factors and dust events to elucidate the triggering mechanisms of these phenomena. Building on these findings, used to forecast PM10 concentrations for North China through random forest model. The findings indicate In March 19–23, 2023, North China witnessed dust events, with the episode from being the most intense and widespread in recent years. An analysis of the paths and sources of this sand and dust event revealed that the severe sandstorm in North China was the result of a synergistic effect of dust sources from Mongolia and Northwest China. The study identified a combination of meteorological factors—maximum wind speed > 6.1 m/s, relative humidity 128 w/m2—as having the most significant impact on sandstorm in North China. Leveraging these research outcomes, the study established an hourly PM10 prediction model for North China using random forest approach, with the highest accuracy for 1–3 h forecasts. This study has advanced our understanding of dust and sand weather events to a certain extent, furnishing a theoretical and scientific basis for the effective management of sand and dust in ecologically vulnerable regions.

Keywords: Sand and dust weather; PM10; PM2.5; Spatio temporal characteristics; Source; Pathway; Prediction; North China (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-024-07044-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:121:y:2025:i:6:d:10.1007_s11069-024-07044-8

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-024-07044-8

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().