Mathematics – Probability
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufm.p13b0156m&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #P13B-0156
Mathematics
Probability
1625 Geomorphology And Weathering (0790, 1824, 1825, 1826, 1886), 5415 Erosion And Weathering, 5464 Remote Sensing
Scientific paper
Non-erodible elements, including vegetation, are generally considered to be important in modulating the wind erodibility of the surfaces on both Earth and Mars. This is reflected in many models of wind erosion that employ "lateral cover", the total vertical area intercepted by the wind per unit horizontal area, to parameterize the presence of non-erodible elements. These models do not specify how non-erodible elements are distributed on the surface, but the spatial distribution of non-erodible elements is an important factor in determining wind erodibility as well as the total mass emitted by an eroding surface. A new paradigm for modeling wind erosion and dust emission that includes spatial distribution is presented. A geostatistical measure of "connectivity" has been employed to quantify measures of the size of erodible patches in the landscape. Connectivity is defined as the probability that adjacent measurements with a lag distance belong to the same class of erodible or non-erodible patch elements. Connectivity allows the size distribution of erodible patches to be quantified from a remote sensing image or field measurement, or specified for the purposes of modeling. The implications of using spatial connectivity instead of simply lateral cover in wind erosion models is explored. The use of connectivity in wind erosion models has been further tested with a combination of high-resolution remotely sensed images, field plots, and horizontal flux measurements of the sand sheet that comprises the southwestern portion Jornada Experimental Range (JER), NM.
Hartman L. J.
Li Jiying
McGlynn Ian O.
Okin Gregory S.
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