dune field
Recently Published Documents


TOTAL DOCUMENTS

273
(FIVE YEARS 62)

H-INDEX

34
(FIVE YEARS 4)

Geology ◽  
2021 ◽  
Author(s):  
Mark R. Sweeney ◽  
Steven L. Forman ◽  
Eric V. McDonald

Recent research on dust emissions from eolian dunes seeks to improve regional and global emissions estimates and knowledge of dust sources, particularly with a changing climate. Dust emissions from dune fields can be more accurately estimated when considering the whole eolian system composed of active to stabilized dunes, interdunes, sand sheets, and playas. Each landform can emit different concentrations of dust depending on the supply of silt and clay, soil surface characteristics, and the degree to which the landforms are dynamic and interact. We used the Portable In Situ Wind Erosion Laboratory (PI-SWERL) to measure PM10 (particulate matter <10 μm) dust emission potential from landforms in two end-member eolian systems: the White Sands dune field in New Mexico (USA), composed of gypsum, and the Monahans dune field in west Texas, composed of quartz. White Sands is a hotspot of dust emissions where dunes and the adjacent playa yield high dust fluxes up to 8.3 mg/m2/s. In contrast, the active Monahans dunes contain 100% sand and produce low dust fluxes up to 0.5 mg/m2/s, whereas adjacent stabilized sand sheets and dunes that contain silt and clay could produce up to 17.7 mg/m2/s if reactivated by climate change or anthropogenic disturbance. These findings have implications for present and future dust emission potential of eolian systems from the Great Plains to the southwestern United States, with unrealized emissions of >300 t/km2/yr.


2021 ◽  
pp. 100765
Author(s):  
Katheryn R. Kolesar ◽  
Mark D. Schaaf ◽  
John W. Bannister ◽  
Maarten D. Schreuder ◽  
Mica H. Heilmann

Icarus ◽  
2021 ◽  
pp. 114788
Author(s):  
Amanda R.G. Hunt ◽  
Mackenzie Day ◽  
Kenneth S. Edgett ◽  
Matthew Chojnacki

Geosciences ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 448
Author(s):  
Miltiadis Polidorou ◽  
Niki Evelpidou

Two well-developed late Pleistocene dune fields have been identified on the western and eastern side of Akrotiri promontory (Lemesos, Cyprus). The dune fields extend immediately from the low level of their source beaches onto higher ground (>48 m amsl). Geomorphic observations supported by OSL dating and sedimentological data provided evidence of the dune development and for the palaeogeographic reconstruction of the area. Relative sea level changes and wave action during the upper Pleistocene and Holocene played an important role into the development of the palaeolandscape and affected the formation of the dunes. From the collected data the development of the western dune field started at 56.2 ± 5.5 ka when the relative sea level was at approximately −60 m and contributed to the development of the western tombolo of the area whereas the eastern dune field developed in the late Holocene, after the formation of the eastern spit that resulted in the formation of the Akrotiri Salt lake.


2021 ◽  
Vol 53 ◽  
pp. 100751
Author(s):  
Yongxin Chen ◽  
Hezi Yizhaq ◽  
Joseph A. Mason ◽  
Xueliang Zhang ◽  
Zhiwei Xu

Geomorphology ◽  
2021 ◽  
pp. 107979
Author(s):  
Shihan Li ◽  
Joseph A. Mason ◽  
Yihong Xu ◽  
Chi Xu ◽  
Guang Zheng ◽  
...  

2021 ◽  
Vol 13 (16) ◽  
pp. 3084
Author(s):  
Pinliang Dong ◽  
Jisheng Xia ◽  
Ruofei Zhong ◽  
Zhifang Zhao ◽  
Shucheng Tan

While remote sensing methods have long been used for coastal and desert sand dune studies, few methods have been developed for the automated measurement of dune migration in large dune fields. To overcome a major limitation of an existing method named “pairs of source and target points (PSTP)”, this paper proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data. Based on a few simple parameters, the TLT method automatically extracts the base level of a dune field and toe lines of individual dunes. The toe line polygons derived from two DEMs are processed using logical operators and other spatial analysis methods implemented in the Python programming language in a geographic information system. By generating thousands of random sampling points along source toe lines, dune migration distances and directions are calculated and saved with the sampling point feature class. The application of the TLT method was demonstrated using multi-temporal LiDAR-derived DEMs for a 9 km by 2.4 km area in the White Sands Dune Field in New Mexico (USA). Dune migration distances and directions for three periods (24 January 2009–26 September 2009, 26 September 2009–6 June 2010, and 24 January 2009–6 January 2010) were calculated. Sensitivity analyses were carried out using different window sizes and toe heights. The results suggest that both PSTP and TLT produce similar sand dune migration rates and directions, but TLT is a more generic method that works for dunes with or without slipfaces that reach the angle of repose.


CATENA ◽  
2021 ◽  
Vol 201 ◽  
pp. 105193
Author(s):  
Luigi Borrelli ◽  
Loredana Antronico ◽  
Emilia Le Pera ◽  
Barbara Pisano ◽  
Marino Sorriso-Valvo

Sign in / Sign up

Export Citation Format

Share Document