QQ客服 官方微博 反馈留言

	Estimating aerodynamic resistance of rough surfaces using angular reflectance
	Chappell, Adrian1; Van Pelt, Scott2; Zobeck, Ted3; Dong, Zhibao4
刊名	REMOTE SENSING OF ENVIRONMENT
	2010-07-15
卷号	114期号:7页码:1462-1470
关键词	Dust emission model Wind erosion Sheltering Erodible Flow separation Drag Wake Aerodynamic resistance Aerodynamic roughness length Shadow Illumination Ray-casting Digital elevation model Roughness density Frontal area index Angular reflectance Bi-directional reflectance
ISSN号	0034-4257
DOI	10.1016/j.rse.2010.01.025
通讯作者	Chappell, Adrian(adrian.chappell@csiro.au)
英文摘要	Current wind erosion and dust emission models neglect the heterogeneous nature of surface roughness and its geometric anisotropic effect on aerodynamic resistance, and over-estimate the erodible area by assuming it is not covered by roughness elements. We address these shortfalls with a new model which estimates aerodynamic roughness length (z(0)) using angular reflectance of a rough surface. The new model is proportional to the frontal area index, directional, and represents the geometric anisotropy of z(0). The model explained most of the variation in two sets of wind tunnel measurements of aerodynamic roughness lengths (z(0)). Field estimates of z(0) for varying wind directions were similar to predictions made by the new model. The model was used to estimate the erodible area exposed to abrasion by saltating particles. Vertically integrated horizontal flux (F(h)) was calculated using the area not covered by non-erodible hemispheres; the approach embodied in dust emission models. Under the same model conditions, F(h) estimated using the new model was up to 85% smaller than that using the conventional area not covered. These F(h) simulations imply that wind erosion and dust emission models without geometric anisotropic sheltering of the surface, may considerably over-estimate F(h) and hence the amount of dust emission. The new model provides a straightforward method to estimate aerodynamic resistance with the potential to improve the accuracy of wind erosion and dust emission models, a measure that can be retrieved using bi-directional reflectance models from angular satellite sensors, and an alternative to notoriously unreliable field estimates of z(0) and their extrapolations across landform scales. Crown Copyright (C) 2010 Published by Elsevier Inc. All rights reserved.
收录类别	SCI
WOS关键词	SOIL SPECTRAL REFLECTANCE ; ATMOSPHERIC DUST CYCLE ; BIDIRECTIONAL REFLECTANCE ; DRAG PARTITION ; MODEL ; WIND ; ELEMENTS ; DESERT ; ERODIBILITY ; EMISSION
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000277878900011
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2556366
专题	寒区旱区环境与工程研究所
通讯作者	Chappell, Adrian
作者单位	1.CSIRO Land & Water, Canberra, ACT 2601, Australia 2.ARS, USDA, Big Spring, TX 79720 USA 3.ARS, USDA, Lubbock, TX 79720 USA 4.Chinese Acad Sci, Key Lab Desert & Desertificat, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu Province, Peoples R China
推荐引用方式 GB/T 7714	Chappell, Adrian,Van Pelt, Scott,Zobeck, Ted,et al. Estimating aerodynamic resistance of rough surfaces using angular reflectance[J]. REMOTE SENSING OF ENVIRONMENT,2010,114(7):1462-1470.
APA	Chappell, Adrian,Van Pelt, Scott,Zobeck, Ted,&Dong, Zhibao.(2010).Estimating aerodynamic resistance of rough surfaces using angular reflectance.REMOTE SENSING OF ENVIRONMENT,114(7),1462-1470.
MLA	Chappell, Adrian,et al."Estimating aerodynamic resistance of rough surfaces using angular reflectance".REMOTE SENSING OF ENVIRONMENT 114.7(2010):1462-1470.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。