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Numerical simulations of sand dune m...
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Ma, Fei.
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Numerical simulations of sand dune morphodynamics and their application to the Mu Us Dune Field, China.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Numerical simulations of sand dune morphodynamics and their application to the Mu Us Dune Field, China./
作者:
Ma, Fei.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
128 p.
附註:
Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:
Dissertation Abstracts International79-03B(E).
標題:
Physical geography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10687694
ISBN:
9780355521320
Numerical simulations of sand dune morphodynamics and their application to the Mu Us Dune Field, China.
Ma, Fei.
Numerical simulations of sand dune morphodynamics and their application to the Mu Us Dune Field, China.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 128 p.
Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2017.
Semi-arid landscapes are heavily influenced by climate change and human activities. Sand dunes in the Mu Us region, China experienced rapid stabilization during the past few decades, which is postulated to be a response to recent climate change (Xu et al., 2015) and land use change (Mason et al., 2008). With the information extracted from high-resolution Google Earth imagery and ASTER GDEM data and machine-learning models, I evaluated the relative importance of multiple environmental and anthropogenic variables for the recent changes in dune activity and vegetation cover. Spatial variation in climate variables contributed little, while elevation, human activities and vegetation spatial distribution played significant roles in both dune migration rate and vegetation cover change rate. To further visualize dune morphodynamic response to external forcings over time, I modified a Cellular Automaton (CA) model (Werner, 1995) and fit it to the Mu Us dune field by tuning model parameters (downwind transport jump unit, slab thickness, deposition probability, and erosion probability) . The model produced realistic barchans dune forms with only wind processes included, while parabolic dune forms were simulated with a combination of wind and anchoring vegetation. Through adjusting erosion probability (p e), the model is capable of testing various wind and vegetation growth scenarios. With a linearly declining pe, the vegetation integrated CA model was used to simulate the increase in precipitation in the late 1990s, and it produced stabilized parabolic dune forms that closely resemble those observed in the field. The successful simulation of realistic dune form changes also proves the CA model to be an effective research and educational tool for exploring interactions among climate, geomorphology and vegetation and predicting future trends of dune activity.
ISBN: 9780355521320Subjects--Topical Terms:
516662
Physical geography.
Numerical simulations of sand dune morphodynamics and their application to the Mu Us Dune Field, China.
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Semi-arid landscapes are heavily influenced by climate change and human activities. Sand dunes in the Mu Us region, China experienced rapid stabilization during the past few decades, which is postulated to be a response to recent climate change (Xu et al., 2015) and land use change (Mason et al., 2008). With the information extracted from high-resolution Google Earth imagery and ASTER GDEM data and machine-learning models, I evaluated the relative importance of multiple environmental and anthropogenic variables for the recent changes in dune activity and vegetation cover. Spatial variation in climate variables contributed little, while elevation, human activities and vegetation spatial distribution played significant roles in both dune migration rate and vegetation cover change rate. To further visualize dune morphodynamic response to external forcings over time, I modified a Cellular Automaton (CA) model (Werner, 1995) and fit it to the Mu Us dune field by tuning model parameters (downwind transport jump unit, slab thickness, deposition probability, and erosion probability) . The model produced realistic barchans dune forms with only wind processes included, while parabolic dune forms were simulated with a combination of wind and anchoring vegetation. Through adjusting erosion probability (p e), the model is capable of testing various wind and vegetation growth scenarios. With a linearly declining pe, the vegetation integrated CA model was used to simulate the increase in precipitation in the late 1990s, and it produced stabilized parabolic dune forms that closely resemble those observed in the field. The successful simulation of realistic dune form changes also proves the CA model to be an effective research and educational tool for exploring interactions among climate, geomorphology and vegetation and predicting future trends of dune activity.
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