Modelling mineral dust emissions
- 1. Leibniz-Institut fuer Troposphaerenforschung, IfT, Permoserstrasse 15, 04318, Leipzig (Germany)
- 2. Laboratoire Inter-universitaire des Systemes Atmospheriques, LISA, UMR 7583 CNRS, Universites Paris VII-XII, 61 Avenue du General de Gaulle, 94010, Creteil (France)
Description
The biogeochemical cycle of mineral dust is of major interest to understand climatic changes. Moreover, these particles can also cause risks for human health and societal activities in regions in the neighbourhoods of arid and semi-arid source areas of dust emission. To estimate and forecast atmospheric dust concentrations and their impacts, the correct description of the spatial and temporal variability of dust emission occurrences and intensities is a prerequisite. The explicit dust emission models provide a physical description of the main processes involved in dust production. They allow describing the spatio-temporal variability of the non-linear phenomenon of dust production if their input parameters (surface and soil features, surface winds) are accurately described. The recent developments, the current limits of these emission models, and some of their applications using relevant surface, soil and meteorological databases to simulate dust emissions are presented here.
Availability note (English)
Available from http://dx.doi.org/10.1088/1755-1307/7/1/012006Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series: Earth and Environmental Science (EES)
- Journal Volume
- 7
- Journal Issue
- 1
- Journal Page Range
- [10 p.]
- ISSN
- 1755-1315
Conference
- Title
- WMO/GEO expert meeting on an international sand and dust storm warning system
- Dates
- 7-9 Nov 2007
- Place
- Barcelona (Spain)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41035991
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CLIMATIC CHANGE; DUSTS; HAZARDS; METEOROLOGY; MINERALS; NONLINEAR PROBLEMS; PARTICLES; PUBLIC HEALTH; SIMULATION; SOILS; WIND