1 The directional components of splash erosion at different raindrop kinetic energy in Chinese Mollisol region Fenli Zheng Wei HU Institute of Soil and.

Slides:



Advertisements
Similar presentations
Irene Seco Manuel Gómez Alma Schellart Simon Tait Erosion resistance and behaviour of highly organic in-sewer sediment 7th International Conference on.
Advertisements

The effect of raindrop impacted flow on sediment composition.
Some concepts relevant to rainfall erosion research and models Peter Kinnell University of Canberra Australia EGU2014.
Soil Erosion and Erosion Control. I.Overview A. One of the most destructive human events on world’s soil resources.
Correlation and Regression
Mitigating Risk of Out-of-Specification Results During Stability Testing of Biopharmaceutical Products Jeff Gardner Principal Consultant 36 th Annual Midwest.
Additional Questions, Resources, and Moving Forward Science questions raised in the development of a science assessment Effect of Conservation Tillage.
By Kudzai F. Ndidzano Limpopo Basin Development Challenge (LBDC)
Introduction to Regression Analysis
P.I.A. Kinnell University of Canberra Rainfall Erosion Detachment and Transport Systems.
WFM 5201: Data Management and Statistical Analysis © Dr. Akm Saiful IslamDr. Akm Saiful Islam WFM 5201: Data Management and Statistical Analysis Akm Saiful.
Lecture ERS 482/682 (Fall 2002) Erosion and sediment transport ERS 482/682 Small Watershed Hydrology.
Properties of Matrix Operations King Saud University.
Correlation & Regression
Active Learning Lecture Slides
Chapter 11 Simple Regression
Researchers, such as anthropologists, are often interested in how two measurements are related. The statistical study of the relationship between variables.
ICHS4, San Francisco, September E. Papanikolaou, D. Baraldi Joint Research Centre - Institute for Energy and Transport
MODEGAT Chalmers University of Technology Use of Latent Variables in the Parameter Estimation Process Jonas Sjöblom Energy and Environment Chalmers.
PROVSIONAL DESIGN METHODOLOGY FOR LOW VOLUME ROADS AND HILL SLOPES MANAGEMENT WITH JUTE GEOTEXTILES National Jute Board (PEA)
Kemerovo State University(Russia) Mathematical Modeling of Large Forest Fires Valeriy A. Perminov
Department of Tool and Materials Engineering Investigation of hot deformation characteristics of AISI 4340 steel using processing map.
Vocabulary regression correlation line of best fit
Soil Erosion TSM 352 Land and Water Management Systems.
Hongna Wang Nov. 28, 2012 Journal Report About CFD.
Properties from Algebra
Transformation of the rainfall drop- size distribution and diameter- velocity relations by the maize canopy R. P. M. Frasson
NUMERICAL SIMULATIONS OF A PASSIVE SCALAR TRANSPORT IN A JET FLOW Laboratoire de Modélisation en Hydraulique et Environnement Prepared by : Nabil MRABTI.
Experience of Modelling Forested Complex Terrain Peter Stuart, Ian Hunter & Nicola Atkinson 30 th October 2009.
Erosion and Sedimentation Erosion – Detachment, movement and deposition of soil by water, wind, ice or gravity. Sediment – Particles derived from inorganic.
Correlation of Solid Solubility for Biological Compounds in Supercritical Carbon Dioxide: Comparative Study Using Solution Model and Other Approaches Jaw-Shin.
Soil translocation by weeding on swidden fields in northern Vietnam Alan D. Ziegler & T.W. Giambelluca, R.A. Sutherland, M. Nullet Geography Department,
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Chapter 10 Correlation and Regression 10-2 Correlation 10-3 Regression.
Water Erosion “It is the detachment, transportation & deposition of soil particles by the force of water from one place to another.” “It is the movement.
Impacts of Landuse Management and Climate Change on Landslides Susceptibility over the Olympic Peninsula of Washington State Muhammad Barik and Jennifer.
Stream Sediment Sediment - particles transported or deposited in stream channels Sediment levels - good indicator of effectiveness of watershed mangement.
The Next Generation of Research on Earthquake-induced Landslides: An International Conference in Commemoration of 10th Anniversary of the Chi-Chi Earthquake,
The influence of rainfall on the coastal slope deformation of the rivers in permafrost conditions (laboratory simulation) I.I. Gritsuk, E.I. Debolskaya,
Regression Line  R 2 represents the fraction of variation in the data (regression line)
Soil erosion by water EROSION Detachment – particle or aggregate loosened from surface Entrainment – initiation of motion by flow TRANSPORT Rill – concentrated.
ASSESSMENT OF CHANGES IN TOPSOIL DEPTH REDISTRIBUTION IN RELATION TO DIFFERENT TILLAGE TECHNOLOGIES MICHAELA HRABALÍKOVÁ & PETRA HUISLOVÁ
Stats Methods at IC Lecture 3: Regression.
20th EBES Conference – Vienna
Enhancement of Wind Stress and Hurricane Waves Simulation
Regression Chapter 6 I Introduction to Regression
Relations homme/environnement et transports
Linear Regression and Correlation Analysis
Soil Erodibility Prof. Dr. EHSANULLAH. Soil Erodibility Prof. Dr. EHSANULLAH.
PCB 3043L - General Ecology Data Analysis.
Challenges and Countermeasures in Soil and Water Conservation under Climate Change in the Loess Plateau of China Dr. Jianen Gao, Huijuan L,Yuanxing Z.
Chapter 5 STATISTICS (PART 4).
SIMPLE LINEAR REGRESSION MODEL
Goranka Knezevic Mirjana Mijokovic
ESTIMATE OF SEDIMENTATION IN KALAVASOS RESERVOIR, CYPRUS
Investigating Relationships
PLGEM parameters are reasonably stable to decreasing number of replicates. PLGEM parameters are reasonably stable to decreasing number of replicates. A.
Boolean Algebra.
Математици-юбиляри.
Review: overland water erosion
Rainfall Erosion Detachment and Transport Systems
Solving Equations 3x+7 –7 13 –7 =.
Lecture # 2 MATHEMATICAL STATISTICS
Factorization by Using Identities of Sum and Difference of Two Cubes
Regression Analysis.
Hydrology CIVL341 Introduction
S.ID.6, 7 N.Q.2 A-REI.1, 3 A.SSE.1 A.CED.2, 3, 4 F.IF.2
Applying linear and median regression
Setback area relative to drainage area Runoff volume, mean of 4 events
Professor Ke-sheng Cheng
Properties of Numbers Review Problems.
Presentation transcript:

1 The directional components of splash erosion at different raindrop kinetic energy in Chinese Mollisol region Fenli Zheng Wei HU Institute of Soil and Water Conservation, Northwest A&F University Institute of Soil and Water Conservation, CAS & MWR 3rd Conference of the World Association of Soil and Water Conservation Aug , Belgrade, Serbia

2  Splash erosion involves soil detachment and transport caused by raindrop impact. Raindrop impact is one of the principal erosion processes in Chinese Mollisol region and occupies 60%-90% of hillslope soil erosion (An et al., 2012).  In addition to soil properties, soil detachment and transport by raindrop impact is mainly affected by rainfall physical parameters (Fernandez-Raga et al., 2010; Liu et al., 2015; Park et al., 1983; Sharma et al., 1991). I Introduction  Currently, there are few literatures showing how rainfall physical parameters affects directional components (upslope, lateral and downslope) of splash erosion in Chinese Mollisol region.

3 The objective of this study is to qualify how rainfall physical parameters affected directional components (upslope, lateral and downslope) of splash erosion in the Chinese Mollisol region. The specific aims of this study are to investigate the effects of rainfall physical parameters on directional components of splash erosion characteristics; to select the key rainfall physical parameters affecting total and net splash erosion; to fit and validate the equations between total and net splash erosion with rainfall physical parameters. Objective

4 II Methodology  Soil pan with 50 cm-long, 50-cm wide and 40 cm-deep  Rainfall simulator: A side-sprinkle rainfall simulator system  Rainfall Intensity: 50 and 100 mm h –1  Raindrop falling heights: 3.5, 5.5, 7.5, 9.5, and 11.5 m  Soil: Chinese Mollisol SUSU SdSd SlSl SrSr Total splash: Net splash: Lateral splash:

5 Rainfall intensity (mm h –1 ) Raindrop median volume diameter † (mm) Raindrop falling height (m) Raindrop terminal velocity ‡ (m s –1 ) Raindrop kinetic energy (J m –2 mm –1 ) (0.04) (0.14)d6.48 (1.06)e (0.28)c6.77 (1.13)d (0.26)bc7.75 (0.82)c (0.18)b8.59 (1.04)b (0.26)a9.83 (1.06)a (0.03) (0.28)c**7.67 (0.16)d** (0.19)c8.52 (0.55)d** (0.21)c10.23 (0.45)c** (0.30)b**12.85 (1.12)b** (0.17)a*14.47 (0.66)a** List of rainfall physical parameters

6 III Results-- Total splash erosion Rainfall intensity (mm h –1 ) Raindrop kinetic energy (J m –2 mm –1 ) Splash erosion (g) Upslope Downslope Left slope Right slope Lateral slopeNetTotal (0.1) † c ‡ 1.5 (0.3)d1.5 (0.3)dA § 1.2 (0.3)dA1.3 (0.3)d 0.7 (0.3)c 4.9 (0.8)d (0.1)bc2.8 (0.2)c1.8 (0.4)cdA2.2 (0.2)cdA2.0 (0.3)d 1.4 (0.1)bc 8.2 (0.7)c (0.5)b3.6 (0.2)bc2.7 (0.2)cA2.7 (0.3)cA2.7 (0.6)c 2.1 (0.7)b 10.5 (1.8)c (0.4)b3.9 (0.9)b4.1 (0.4)bA4.8 (0.1)bA4.4 (0.3)b 2.3 (0.5)b 14.5 (1.4)b (0.6)a7.5 (0.4)a6.7 (0.6)aA6.5 (0.3)aA6.5 (0.4)a 4.5 (0.8)a 23.6 (1.4)a (0.3)c*8.9 (0.9)d*6.1 (0.9)dA*7.3 (0.3)dA*6.3 (0.3)e* 4.5 (0.2)c* 26.7 (0.3)e* (1.7)b**29.3 (4.2)c*24.3 (3.7)cA*22.2 (1.7)cA*22.8 (1.1)d* 15.8 (1.1)b* 89.2 (9.2)d* (1.2)b*33.9 (4.6)b*35.4 (3.5)bA*22.7 (1.9)cA*28.2 (1.6)c* 19.0 (1.6)b* (12.8)c* (0.9)a*56.3 (7.1)a**43.8 (6.0)aA*41.8 (1.2)bA*42.4 (2.7)b* 33.4 (6.8)a** (11.8)b* (1.8)a*59.8 (4.1)a*44.5 (5.6)aA**58.7 (8.9)aA*51.3 (4.1)a* 34.5 (4.6)a* (11.9)a* The directional components of splash erosion, net splash erosion and total splash erosion at rainfall intensities of 50 and 100 mm h –1 Total splash erosion significantly increased as rainfall intensity and raindrop kinetic energy increased (p < 0.05). When rainfall intensity increased from 50 mm h –1 to 100 mm h –1, total splash erosion significantly increased by 4.4 to 10.4 times.

7 Total splash erosion significantly increased as raindrop kinetic energy increased at the same rainfall intensity (p < 0.05). The relationships between total splash erosion and KE at rainfall intensities of 50 and 100 mm h –1 were power functions.

8 III Results--The directional components of splash erosion  As rainfall intensity increased from 50 mm h –1 to 100 mm h –1, splash erosion from upslope, downslope and lateral slope significantly increased by 4.5 to 12.5, 4.9 to 13.4, and 3.8 to 10.4 times, respectively (p < 0.05).  Splash erosion from upslope, downslope and lateral slope significantly increased as raindrop kinetic energy increased at the same rainfall intensity (p < 0.05).  The relationships between the directional components of splash erosion and KE at rainfall intensities of 50 and 100 mm h –1 were described by power functions.

9  Splash erosion from downslope, lateral slope and upslope occupied 32.2%, and 26.3% and 14.5% of total splash erosion, respectively. Rainfall intensity (mm h –1 ) Raindrop kinetic energy (J m –2 mm –1 ) Contributions to total splash erosion (%) UpslopeDownslopeLateral slope (2.5) † abC30.2 (2.9)abA27.1 (2.2)aB (1.0)aC34.5 (1.9)aA23.8 (1.7)aB (1.5)abC33.9 (3.4)aA26.4 (1.9)aB (1.8)bC26.9 (3.9)bA30.6 (2.8)aB (2.3)abC31.7 (2.0)aA27.5 (0.2)aB (4.8)aC33.6 (1.6)aA24.3 (4.3)aB (1.0)aC32.8 (2.4)aA25.6 (1.0)aB (1.3)aC31.7 (1.9)aA26.4 (0.6)aB (0.6)aC34.1 (2.5)aA25.8 (0.7)aB (1.0)aC31.8 (1.1)aA27.2 (0.4)aB III Results--The contributions of the directional components of splash erosion to total splash erosion

10 III Results-- Net splash erosion  Net splash erosion also significantly increased with the increasing rainfall intensity (p < 0.05). When rainfall intensity increased from 50 mm h –1 to 100 mm h –1, net splash erosion significantly increased by 5.4 to 13.5 times (p < 0.05).  Net splash erosion significantly increased as raindrop kinetic energy increased at the same rainfall intensity (p < 0.05).  The relationships between net splash erosion and KE at rainfall intensities of 50 and 100 mm h –1 were power functions.

11  Pearson correlation analysis was performed to determine the key rainfall physical parameter. III Results--Key rainfall physical parameter selection  Based on the correlation matrix, the correlation coefficient of total and net splash erosion with KE and D 50 was > 0.8. Thus, KE and D 50 were the key indicators for analyze how both impacts total and net splash erosion. Correlation matrix for total splash erosion (S T ) and net splash erosion (S N ) and each rainfall physical parameter: raindrop kinetic energy (KE), rainfall intensity (RI), raindrop median volume diameter (D 50 ), and raindrop terminal velocity (V m ). STST SNSN KERID 50 VmVm STST 1 SNSN ** 1 KE0.905 ** ** 1 RI0.775 ** ** ** 1 D ** ** ** 1 VmVm 0.669**0.658**0.877** ** 1

12  30 samples were randomly selected from 40 samples for establishing the equation.  The regression equations between total and net splash erosion with KE and D 50 were fitted. All equations were significant at the 95% confidence level. III Results-- Equation fitting

13 III Results--Equation validation Total splash erosion Net splash erosion  Prediction accuracy of two equations was satisfactory.  The remaining 10 samples were used to validate the equations.

14  Total splash erosion, directional components of splash erosion and net splash erosion on hillslope significantly increased as rainfall intensity and raindrop kinetic energy increased (p < 0.05).  Splash erosion from downslope, lateral slope and upslope occupied 32.2%, and 26.3% and 14.5% of total splash erosion, respectively.  Raindrop kinetic energy and raindrop median volume diameter were the key indicators affecting both total and net splash erosion. IV Conclusions

15  Raindrop kinetic energy and raindrop median volume diameter were the key indicators affecting both total and net splash erosion.  The equations between total and net splash erosion with both parameters of KE and D 50 were fitted. Prediction accuracy of the two equations were acceptable.  Preventing raindrop impact by using conservation tillage can effectively reduce soil erosion in Chinese the Mollisol region. IV Conclusions

Thank you for your attention