Interrill and Rill Erosion on Hillslope

2012 ◽  
Vol 170-173 ◽  
pp. 1344-1347
Author(s):  
Gang Liu ◽  
Wen Nian Xu ◽  
Qiong Zhang ◽  
Zhen Yao Xia
Keyword(s):  
Future Development ◽  
Prediction Models ◽  
Research Progress ◽  
Rill Erosion ◽  
Erosion Process ◽  
Erosion Processes ◽  
Erosion Prediction ◽  
Physically Based ◽  
The Relationship

Interrill and rill erosion are commonly observed erosion processes to coexist on hillslope. Understanding of the interrill and rill erosion process is the key for the development of physically-based erosion prediction models. This paper reviewed the research progress of interrill and rill erosion, and the relationship between them. The shortages were also put forward. Finally, the trends for future development and questions are also discussed.

Improved slope adjustment functions for soil erosion prediction

Soil Research ◽  
2003 ◽  
Vol 41 (8) ◽  
pp. 1489 ◽  
Author(s):  
G. J. Sheridan ◽  
H. B. So ◽  
R. J. Loch
Keyword(s):  
Soil Erosion ◽  
Clay Content ◽  
Fold Increase ◽  
Transport Processes ◽  
Rill Erosion ◽  
Sediment Delivery ◽  
Erosion Processes ◽  
Erosion Prediction ◽  
Slope Adjustment ◽  
The Relationship

Numerous studies in the last 60 years have investigated the relationship between land slope and soil erosion rates. However, relatively few of these have investigated slope gradient responses: (a) for steep slopes, (b)�for specific erosion processes, and (c) as a function of soil properties. Simulated rainfall was applied in the laboratory on 16 soils and 16 overburdens at 100 mm/h to 3 replicates of unconsolidated flume plots 3 m long by 0.8 m wide and 0.15 m deep at slopes of 20, 5, 10, 15, and 30% slope in that order. Sediment delivery at each slope was measured to determine the relationship between slope steepness and erosion rate. Data from this study were evaluated alongside data and existing slope adjustment functions from more than 55 other studies from the literature. Data and the literature strongly support a logistic slope adjustment function of the form S = A + B/[1 + exp (C – D sin θ)] where S is the slope adjustment factor and A, B, C, and D are coefficients that depend on the dominant detachment and transport processes. Average coefficient values when interill-only processes are active are A –1.50, B 6.51, C 0.94, and D 5.30 (r2 = 0.99). When rill erosion is also potentially active, the average slope response is greater and coefficient values are A –1.12, B 16.05, C 2.61, and D 8.32 (r2 = 0.93). The interill-only function predicts increases in sediment delivery rates from 5 to 30% slope that are approximately double the predictions based on existing published interill functions. The rill + interill function is similar to a previously reported value. The above relationships represent a mean slope response for all soils, yet the response of individual soils varied substantially from a 2.5-fold to a 50-fold increase over the range of slopes studied. The magnitude of the slope response was found to be inversely related (log–log linear) to the dispersed silt and clay content of the soil, and 3 slope adjustment equations are proposed that provide a better estimate of slope response when this soil property is known. Evaluation of the slope adjustment equations proposed in this paper using independent datasets showed that the new equations can improve soil erosion predictions.

The role of the geometry and frequency of rectangular rills in the relationship between sediment concentration and stream power

Soil Research ◽  
1997 ◽  
Vol 35 (6) ◽  
pp. 1359 ◽  
Author(s):  
B. Fentie ◽  
C. W. Rose ◽  
K. J. Coughlan ◽  
C. A. A. Ciesiolka
Keyword(s):  
Soil Erosion ◽  
Overland Flow ◽  
Sediment Concentration ◽  
Stream Power ◽  
Flume Experiments ◽  
Erosion Processes ◽  
Physically Based ◽  
The Relationship ◽  
Raindrop Impact

We examined, both experimentally and theoretically, whether rilling results in higher soil erosion than would have occurred without rilling. The possibility of rilling occurs when overland flow-driven erosion processes are dominant over erosion due to raindrop impact, and that is the situation assumed in this paper. Stream power (or a quantity related to stream power such as shear stress) is commonly used to describe the driving variable in flow-driven erosion. Five flume experiments were designed to investigate the relationship between stream power and sediment concentration and how this relationship is affected by the ratio of width to depth of flow (r), and the frequency or number of rills per metre width (N) of rectangular rills. This paper presents the results of these experiments and uses a physically based soil erosion theory to show that the results of the 5 flume experiments are in accord with this theory. This theory is used to investigate the effect of all possible rectangular rill geometries and frequencies on the maximum possible sediment concentration, i.e. the sediment concentration at the transport limit, by developing general relationships for the influence of r and N on sediment concentration. It is shown that increased stream power, which can be due to rilling, does not necessarily result in higher sediment concentration.

Evaluation of WEPP for runoff and soil loss prediction at Gunnedah, NSW, Australia

Soil Research ◽  
2001 ◽  
Vol 39 (5) ◽  
pp. 1131 ◽  
Author(s):  
B. Yu ◽  
C. J. Rosewell
Keyword(s):  
Soil Loss ◽  
Prediction Models ◽  
Daily Rainfall ◽  
Sediment Concentration ◽  
Model Parameters ◽  
Slope Length ◽  
Erosion Prediction ◽  
Physically Based ◽  
Bare Fallow ◽  
Runoff And Soil Loss

It is important to use historical data to test physically based runoff and soil erosion prediction models as well as the method to estimate model parameters. WEPP (Water Erosion Prediction Project) was validated for bare fallow and annual wheat treatments at Gunnedah, New South Wales, Australia. Wheat stubble was either burned or mulched. Climate, soil, management, and runoff and soil loss data were collected for the period 1980–87 for 3 bare fallow plots, and 1950–74 for 10 annual wheat plots. Three slope lengths from 21 to 62 m were established for the treatment with stubble burned. Slope steepness varied from 8% to 9% at the site. Effective saturated hydraulic conductivity and soil erodibility parameters were estimated from measured soil properties. No further calibration of these parameters was attempted in order to assess the true potential of the model for runoff and soil loss predictions. WEPP worked well for the bare fallow plots with prediction efficiency of 0.97 for event runoff and soil losses. WEPP generally over-predicted the runoff, and consequently, the soil loss for annual wheat treatments for the site. WEPP was able to predict the effect of slope length on sediment concentration and soil loss for the site. CLIGEN, which provides the continuous climate input to WEPP, was found to produce adequately the mean daily rainfall, but produced higher than expected peak rainfall intensity, resulting in higher runoff and soil loss for all treatments.

scholarly journals Predicting Fault Locations based on Morphometric Features of Alluvial Fans and Basins using Artificial Neural Networks

2021 ◽  
Author(s):  
Marzieh Mokarram ◽  
Hamid Reza Pourghasemi ◽  
John P. Tiefenbacher
Keyword(s):  
Prediction Models ◽  
Principal Component ◽  
Alluvial Fans ◽  
Factors Affecting ◽  
Erosion Processes ◽  
Erosion Prediction ◽  
Geological Unit ◽  
Hypsometric Integral ◽  
Morphometric Features ◽  
Tectonically Active

Abstract The aim of this study is to investigate the morphometry of alluvial fans located in the vicinity of the Sabzevar and Sang-Sefid faults in northeastern Iran to determine their influence on erosion Principal component analysis (PCA) was used to select the most important morphometric factors affecting erosion. The data regarding the important parameters were input into adaptive neural-fuzzy networks (ANFIS) to predict erosion rates. The asymmetric factor (Af), hypsometric integral (Hi), and basin shape (BS) indicate that most of the sub-basins are tectonically active. The results of the PCA revealed that the most important parameters affecting erosion were Af, Pf, Lf, Rf, Vf, Pb, Ab, LC, Lb, Dd, and the geological unit. The ANFIS method showed that among the soil erosion prediction models, the FCM hybrid model had the highest accuracy. It is concluded that morphometric features can be used to predict the erosion processes in the basin.

scholarly journals Erosion processes on different relief units: the relationship of form and process

2017 ◽  
Vol 43 (1) ◽  
pp. 171 ◽  
Author(s):  
T. Iserloh ◽  
S. Wirtz ◽  
M. Seeger ◽  
I. Marzolff ◽  
J.B. Ries
Keyword(s):  
Rainfall Simulation ◽  
Rill Erosion ◽  
Runoff Generation ◽  
Se Spain ◽  
Erosion Processes ◽  
History Of ◽  
Interrill Erosion ◽  
Talus Material ◽  
Relationship Of ◽  
The Relationship

Geomorphological relief units are related to certain processes and the history of their development. They are well defined by form and material. This study investigates erosion processes on different relief units. Rainfall simulations, rill experiments and monitoring by aerial photography were performed on dunes, glacis, Holocene fillings, talus material and Quaternary loam terraces in order to analyse the varying process intensities. Splash, interrill erosion and runoff generation were quantified by rainfall simulation experiments, rill erosion by rill experiments and gully growth by monitoring over several years. The test sites are situated in NE- and SE-Spain, S-Morocco and N-Burkina Faso. The results clearly show that the measured processes are very different from those supposed to be relevant for the formation of relief units. Dunes and Holocene fillings are highly erodible by splash and interrill erosion. In contrast, Quaternary loam terraces show a low susceptibility to erosion processes. We conclude that the relief units show very different dominances of erosion processes and process intensities. The differentiation is more significant with increasing scale and complexity of the erosion process: The extent of gully growth varies much more between the different units than those of splash and interrill erosion do.

Tracing Soil Erosion from Watershed Using Rare Earth Elements

2012 ◽  
Vol 599 ◽  
pp. 855-858
Author(s):  
Hai Xiao ◽  
Gang Liu ◽  
Wen Nian Xu ◽  
Zhen Yao Xia ◽  
Zhen Quan Tang ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
Prediction Models ◽  
Temporal Distribution ◽  
Scientific Basis ◽  
Erosion Processes ◽  
Erosion Prediction ◽  
Research Areas ◽  
Accuracy And Precision ◽  
Tracing Method

Soil erosion continues to be one of the world's biggest environmental problems. Understanding erosion processes is the key to develop soil erosion prediction models that can provide a scientific basis for soil and water conservation planning. REE tracer method has been considered as an ideal monitoring technique. This paper introduced REE tracing method briefly, and reviewed the application of REE trace method in spatial and temporal distribution of soil erosion from watershed. The causes of error of REE tracing method were also analyzed to enhance its accuracy and precision. Finally, the shortcomings in current studies and the important direction of future researches were pointed out that could provide scientific references for improving the REE tracing method and extending its application in wider research areas.

Tanggung Jawab Hukum Penilai Publik terhadap Laporan Penilaian Kegiatan Pengadaan Tanah bagi Pembangunan untuk Kepentingan Umum (Studi Atas Kantor Jasa Penilai Publik Toto Suharto)

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Gagah Yaumiyya Riyoprakoso ◽  
AM Hasan Ali ◽  
Fitriyani Zein
Keyword(s):  
Future Development ◽  
Public Interest ◽  
Legal Responsibility ◽  
Legal Research ◽  
The Public ◽  
The Government ◽  
Conducting Research ◽  
The Right ◽  
The Relationship ◽  
Systematic Explanation

This study is based on the legal responsibility of the assessment of public appraisal reports they make in land procurement activities for development in the public interest. Public assessment is obliged to always be accountable for their assessment. The type of research found in this thesis is a type of normative legal research with the right-hand of the statue approach and case approach. Normative legal research is a study that provides systematic explanation of rules governing a certain legal category, analyzing the relationship between regulations explaining areas of difficulty and possibly predicting future development. . After conducting research, researchers found that one of the causes that made the dispute was a lack of communication conducted between the Government and the landlord. In deliberation which should be the place where the parties find the meeting point between the parties on the magnitude of the damages that will be given, in the field is often used only for the delivery of the assessment of the compensation that has been done.

scholarly journals Factors Influencing Creatine Kinase Response in Youth National Team Soccer Players

2021 ◽  
pp. 194173812199938
Author(s):  
Gabor Schuth ◽  
Gyorgy Szigeti ◽  
Gergely Dobreff ◽  
Peter Revisnyei ◽  
Alija Pasic ◽  
...  
Keyword(s):  
Creatine Kinase ◽  
Prediction Models ◽  
Soccer Players ◽  
Linear Regression Models ◽  
Level Of Evidence ◽  
Internal Load ◽  
Youth Soccer ◽  
National Team ◽  
Weekly Training ◽  
The Relationship

Background: Previous studies have examined the relationship between external training load and creatine kinase (CK) response after soccer matches in adults. This study aimed to build training- and match-specific CK prediction models for elite youth national team soccer players. Hypothesis: Training and match load will have different effects on the CK response of elite youth soccer players, and there will be position-specific differences in the most influential external and internal load parameters on the CK response. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: Forty-one U16-U17 youth national team soccer players were measured over an 18-month period. Training and match load were monitored with global positioning system devices. Individual CK values were measured from whole blood every morning in training camps. The dataset consisted of 1563 data points. Clustered prediction models were used to examine the relationship between external/internal load and consecutive CK changes. Clusters were built based on the playing position and activity type. The performance of the linear regression models was described by the R2 and the root-mean-square error (RMSE, U/L for CK values). Results: The prediction models fitted similarly during games and training sessions ( R2 = 0.38-0.88 vs 0.6-0.77), but there were large differences based on playing positions. In contrast, the accuracy of the models was better during training sessions (RMSE = 81-135 vs 79-209 U/L). Position-specific differences were also found in the external and internal load parameters, which best explained the CK changes. Conclusion: The relationship between external/internal load parameters and CK changes are position specific and might depend on the type of session (training or match). Morning CK values also contributed to the next day’s CK values. Clinical Relevance: The relationship between position-specific external/internal load and CK changes can be used to individualize postmatch recovery strategies and weekly training periodization with a view to optimize match performance.

scholarly journals Research Progress of Desertification and Its Prevention in Mongolia

2021 ◽  
Vol 13 (12) ◽  
pp. 6861
Author(s):  
Xiya Liang ◽  
Pengfei Li ◽  
Juanle Wang ◽  
Faith Ka Shun Chan ◽  
Chuluun Togtokh ◽  
...  
Keyword(s):  
Model Development ◽  
Mitigation Strategies ◽  
Research Progress ◽  
Prevention Measures ◽  
Interdisciplinary Approaches ◽  
The World ◽  
Impacting Factors ◽  
Decoupling Analysis ◽  
And Control ◽  
The Relationship

Mongolia is a globally crucial region that has been suffering from land desertification. However, current understanding on Mongolia’s desertification is limited, constraining the desertification control and sustainable development in Mongolia and even other parts of the world. This paper studied spatiotemporal patterns, driving factors, mitigation strategies, and research methods of desertification in Mongolia through an extensive review of literature. Results showed that: (i) remote sensing monitoring of desertification in Mongolia has been subject to a relatively low spatial resolution and considerable time delay, and thus high-resolution and timely data are needed to perform a more precise and timely study; (ii) the contribution of desertification impacting factors has not been quantitatively assessed, and a decoupling analysis is desirable to quantify the contribution of factors in different regions of Mongolia; (iii) existing desertification prevention measures should be strengthened in the future. In particular, the relationship between grassland changes and husbandry development needs to be considered during the development of desertification prevention measures; (iv) the multi-method study (particularly interdisciplinary approaches) and desertification model development should be enhanced to facilitate an in-depth desertification research in Mongolia. This study provides a useful reference for desertification research and control in Mongolia and other regions of the world.

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