干旱区生态环境知识资源中心(Arid): Estimation of surface depression storage capacity from random roughness and slope

Arid

DOI	10.17159/wsa/2020.v46.i3.8650
	Estimation of surface depression storage capacity from random roughness and slope
	Abd Elbasit, Mohamed A. M.; Abu-Zreig, Majed M.; Ojha, Chandra S. P.; Yasuda, Hiroshi; Gang, Liu
通讯作者	Abu-Zreig, MM
来源期刊	WATER SA
ISSN	0378-4738
EISSN	1816-7950
出版年	2020
卷号	46 期号:3 页码:404-409
英文摘要	Depression storage capacity (DSC) models found in the literature were developed using statistical regression on for relatively large soil surface roughness and slope values resulting in several fitting parameters. In this research, we developed and tested a conceptual model to estimate surface depression storage having small roughness values usually encountered in rainwater harvesting micro-catchments and bare soil in arid regions with only one fitting parameter. Laboratory impermeable surfaces of 30 x 30 cm(2) were constructed with 4 sizes of gravel and mortar resulting in random roughness values ranging from 0.9 to 6.3 mm. A series of laboratory experiments were conducted under 9 slope values using simulated rain. Depression storage for each combination of relative roughness and slope was estimated by the mass balance approach. Analysis of experimental results indicated that the developed linear model between DSC and the square root of the ratio of random roughness (RR) to slope was significant at p < 0.001 and coefficient of determination R- (2) = 0.90. The developed model predicted depression storage of small relief at higher accuracy compared to other models found in the literature. However, the model is based on small-scale laboratory plots and further testing In the field will provide more insight for practical applications.
英文关键词	modelling depression storage surface roughness arid regions runoff
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000586449400004
WOS关键词	OVERLAND-FLOW ; MICROTOPOGRAPHY ; RAINFALL ; INFILTRATION ; TILLAGE ; PATCHES
WOS类目	Water Resources
WOS研究方向	Water Resources
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327350
作者单位	[Abd Elbasit, Mohamed A. M.] Agr Res Council Soil Climate & Water, ZA-0001 Pretoria, South Africa; [Abd Elbasit, Mohamed A. M.] Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, ZA-2000 Johannesburg, South Africa; [Abu-Zreig, Majed M.] Jordan Univ Sci & Technol, Civil Engn Dept, Irbid, Jordan; [Abu-Zreig, Majed M.] Tottori Univ, Int Platform Dryland Res & Educ, Tottori, Japan; [Ojha, Chandra S. P.] Indian Inst Technol, Dept Civil Engn, Roorkee, Uttar Pradesh, India; [Yasuda, Hiroshi] Tottori Univ, Org Educ Support & Int Affairs, Koyama Minami 4-101, Tottori 6808550, Japan; [Gang, Liu] Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Abd Elbasit, Mohamed A. M.,Abu-Zreig, Majed M.,Ojha, Chandra S. P.,et al. Estimation of surface depression storage capacity from random roughness and slope[J]. 西北农林科技大学,2020,46(3):404-409.
APA	Abd Elbasit, Mohamed A. M.,Abu-Zreig, Majed M.,Ojha, Chandra S. P.,Yasuda, Hiroshi,&Gang, Liu.(2020).Estimation of surface depression storage capacity from random roughness and slope.WATER SA,46(3),404-409.
MLA	Abd Elbasit, Mohamed A. M.,et al."Estimation of surface depression storage capacity from random roughness and slope".WATER SA 46.3(2020):404-409.