干旱区生态环境知识资源中心(Arid): Prediction of factors affecting activation of soil erosion by mathematical modeling at pedon scale under laboratory conditions

Arid

DOI	10.1038/s41598-020-76926-1
	Prediction of factors affecting activation of soil erosion by mathematical modeling at pedon scale under laboratory conditions
	Shojaei, Saeed; Kalantari, Zahra; Rodrigo-Comino, Jesus
通讯作者	Shojaei, S
来源期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
出版年	2020
卷号	10 期号:1
英文摘要	Soil degradation due to erosion is a significant worldwide problem at different spatial (from pedon to watershed) and temporal scales. All stages and factors in the erosion process must be detected and evaluated to reduce this environmental issue and protect existing fertile soils and natural ecosystems. Laboratory studies using rainfall simulators allow single factors and interactive effects to be investigated under controlled conditions during extreme rainfall events. In this study, three main factors (rainfall intensity, inclination, and rainfall duration) were assessed to obtain empirical data for modeling water erosion during single rainfall events. Each factor was divided into three levels (-1, 0,+1), which were applied in different combinations using a rainfall simulator on beds (6x1 m) filled with soil from a study plot located in the arid Sistan region, Iran. The rainfall duration levels tested were 3, 5, and 7 min, the rainfall intensity levels were 30, 60, and 90 mm/h, and the inclination levels were 5, 15, and 25%. The results showed that the highest rainfall intensity tested (90 mm/h) for the longest duration (7 min) caused the highest runoff (62 mm(3)/s) and soil loss (1580 g/m(2)/h). Based on the empirical results, a quadratic function was the best mathematical model (R-2=0.90) for predicting runoff (Q) and soil loss. Single-factor analysis revealed that rainfall intensity was more influential for runoff production than changes in time and inclination, while rainfall duration was the most influential single factor for soil loss. Modeling and three-dimensional depictions of the data revealed that sediment production was high and runoff production lower at the beginning of the experiment, but this trend was reversed over time as the soil became saturated. These results indicate that avoiding the initial stage of erosion is critical, so all soil protection measures should be taken to reduce the impact at this stage. The final stages of erosion appeared too complicated to be modeled, because different factors showed differing effects on erosion.
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000594635800023
WOS关键词	INTERRILL EROSION ; PARTICLE-SIZE ; WATER CONSERVATION ; RAINFALL INTENSITY ; RAINDROP IMPACT ; SLOPE ; VARIABILITY ; HILLSLOPE ; GRADIENT
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327788
作者单位	[Shojaei, Saeed] Yazd Univ, Coll Nat Resources & Desert, Dept Management Arid & Desert Reg, Yazd, Iran; [Kalantari, Zahra] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden; [Kalantari, Zahra] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden; [Kalantari, Zahra] Navarino Environm Observ, Messinia 24001, Greece; [Kalantari, Zahra] KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn, Sustainabil Assessment & Management, SE-10044 Stockholm, Sweden; [Rodrigo-Comino, Jesus] Univ Valencia, Dept Geog, Soil Eros & Degradat Res Grp, Valencia 46010, Spain; [Rodrigo-Comino, Jesus] Univ Trier, Dept Phys Geog, D-54296 Trier, Germany
推荐引用方式 GB/T 7714	Shojaei, Saeed,Kalantari, Zahra,Rodrigo-Comino, Jesus. Prediction of factors affecting activation of soil erosion by mathematical modeling at pedon scale under laboratory conditions[J],2020,10(1).
APA	Shojaei, Saeed,Kalantari, Zahra,&Rodrigo-Comino, Jesus.(2020).Prediction of factors affecting activation of soil erosion by mathematical modeling at pedon scale under laboratory conditions.SCIENTIFIC REPORTS,10(1).
MLA	Shojaei, Saeed,et al."Prediction of factors affecting activation of soil erosion by mathematical modeling at pedon scale under laboratory conditions".SCIENTIFIC REPORTS 10.1(2020).