کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4673798 | 1634115 | 2014 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: The Dust Storm Index (DSI): A method for monitoring broadscale wind erosion using meteorological records The Dust Storm Index (DSI): A method for monitoring broadscale wind erosion using meteorological records](/preview/png/4673798.png)
• We present a methodology using WMO-defined weather codes to build wind erosion timelines and maps.
• We present the 1965–2011 wind erosion history for the Australian continent.
• We explain what users of these codes should watch out for.
• We explain how our methodology is replicable at an international scale.
Wind erosion of soils is a natural process that has shaped the semi-arid and arid landscapes for millennia. This paper describes the Dust Storm Index (DSI); a methodology for monitoring wind erosion using Australian Bureau of Meteorology (ABM) meteorological observational data since the mid-1960s (long-term), at continental scale. While the 46 year length of the DSI record is its greatest strength from a wind erosion monitoring perspective, there are a number of technical challenges to its use because when the World Meteorological Organisation (WMO) recording protocols were established the use of the data for wind erosion monitoring was never intended. Data recording and storage protocols are examined, including the effects of changes to the definition of how observers should interpret and record dust events. A method is described for selecting the 180 long-term ABM stations used in this study and the limitations of variable observation frequencies between stations are in part resolved. The rationale behind the DSI equation is explained and the examples of temporal and spatial data visualisation products presented include; a long term national wind erosion record (1965–2011), continental DSI maps, and maps of the erosion event types that are factored into the DSI equation. The DSI is tested against dust concentration data and found to provide an accurate representation of wind erosion activity. As the ABM observational records used here were collected according to WMO protocols, the DSI methodology could be used in all countries with WMO-compatible meteorological observation and recording systems.
Journal: Aeolian Research - Volume 12, March 2014, Pages 29–40