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Accueil du site → Master → Etats Unis → 2016 → Quantifying potential dust emissions along the U.S. - Mexico border region of southern New Mexico using PI-SWERL

New Mexico State University (2016)

Quantifying potential dust emissions along the U.S. - Mexico border region of southern New Mexico using PI-SWERL

Zhao Yizhi

Titre : Quantifying potential dust emissions along the U.S. - Mexico border region of southern New Mexico using PI-SWERL

Auteur : Yizhi Zhao

Université de soutenance : New Mexico State University

Grade : Master of Science (MS) 2016

Résumé
The impact of dust emission on air quality is a significant health and environmental concern in arid and semi-arid regions of the world. Quantifying dust emissions and determining the dust sources in problematic areas are critical research problems for understanding the impact of wind erosion. In this study, 47 experimental sites were selected from the map of local historic dust sources to measure potential dust emissions using the Portable In Situ Wind Erosion Lab (PI-SWERL). The goal of this experimental study was to survey a portion of the Chihuahuan Desert for wind erosion emissivity. A map of potential dust emissions was created to show the spatial distribution of potential dust emissions along 85 miles on either side of the international border of southern NM. Soil texture, landform, and surface roughness were explored to determine their association with dust emission. The results reveal that landform impact to dust emission may not be significant. Soil texture influences the dust emission as sandy soil was more likely to emit PM₁₀ than loam soil. Surface roughness played a significant role on dust emission ; in particular, soil surfaces with [alpha] of 0.94 demonstrated more dust emission potential than soil surfaces with [alpha] of 0.86. This work presented here provides an understanding of the potential dust emissions along the border region and discusses key factors that associate with dust emissions. It will potentially work as a future reference to assess the impact of loading dust and determine possible mitigation efforts in this region

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Page publiée le 13 avril 2017, mise à jour le 10 octobre 2018