Application of GeoWEPP Model in Gully Head Landfill Engineering

2020 ◽  
Vol 08 (01) ◽  
pp. 1-9
Author(s):  
璐莹 杨
Keyword(s):  
Gully Head

Effects of gully head height and soil texture on gully headcut erosion in the Loess Plateau of China

CATENA ◽  
2021 ◽  
Vol 207 ◽  
pp. 105674
Author(s):  
Rui Wang ◽  
Peng Li ◽  
Zhanbin Li ◽  
Kunxia Yu ◽  
Jianchun Han ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Soil Texture ◽  
The Loess Plateau ◽  
Headcut Erosion ◽  
Head Height ◽  
Gully Head

Spatial distribution of gully head activity and sediment supply along an ephemeral channel in a Mediterranean environment

CATENA ◽  
2000 ◽  
Vol 39 (3) ◽  
pp. 147-167 ◽  
Author(s):  
Dirk J Oostwoud Wijdenes ◽  
Jean Poesen ◽  
Liesbeth Vandekerckhove ◽  
Maryke Ghesquiere
Keyword(s):  
Spatial Distribution ◽  
Sediment Supply ◽  
Mediterranean Environment ◽  
Gully Head

scholarly journals Recent changes in sediment redistribution in the upper parts of the fluvial system of European Russia: regional aspects

2015 ◽  
Vol 367 ◽  
pp. 333-339 ◽  
Author(s):  
O. P. Yermolaev ◽  
V. N. Golosov ◽  
M. V. Kumani ◽  
L. F. Litvin ◽  
I. I. Rysin ◽  
...  
Keyword(s):  
Arable Land ◽  
Russian Plain ◽  
Cultivated Land ◽  
River Channels ◽  
Fluvial System ◽  
Sediment Redistribution ◽  
Erosion Models ◽  
Gully Head ◽  
Major Reduction ◽  
Quantitative Assessments

Abstract. Quantitative assessments of soil loss from cultivated land and sediment redistribution along pathways from cultivated fields to river channels have been undertaken using a range of different methods and techniques, including erosion models, detailed studies of sediment redistribution in representative catchments, monitoring of gully head retreat and evaluation of sediment deposition in ponds and small reservoirs. Most of the sediment eroded from arable land is deposited between the lower portions of the cultivated slopes and the river channels. Less than 15% of the eroded sediment is delivered to the river channels. Sediment redistribution rates in the upper parts of the fluvial system have declined during the last 25 years in both the western and eastern parts of the Russian Plain, because of a major reduction of surface runoff during snowmelt and a reduction of the area of arable land in some parts of the study area.

Simulation of Loess Gully Evolution Based on Geographic Cellular Automata

2020 ◽  
Author(s):  
Lanhua Luo ◽  
Fayuan Li
Keyword(s):  
Cellular Automata ◽  
Simulation Model ◽  
Development Process ◽  
Flow Direction ◽  
Confusion Matrix ◽  
Measured Data ◽  
Water Infiltration ◽  
Shaanxi Province ◽  
Hypsometric Integral ◽  
Gully Head

<p>Gully development is an important topic in the evolution of modern geomorphology. The study of the development process of gullies is key to explain the genesis, mechanism and spatial differentiation of loess geomorphology. Geographic cellular automata (Geo-CA) can simulate complex geographical phenomena by expanding and elements of Cellular automata (CA). This study explores the mechanism of the development process of loess gullies while taking into account the dynamic factors of head-cut erosion. Based on geographic cellular automata (Geo-CA), the transition rules for gully evolution are designed, including the rules of gully head region, the rules of water infiltration, flow direction rule, flow rules, and sediment transport rules. Based on the small simulated Loess watershed under artificial rainfall, the simulation model of loess gully evolution is constructed and implemented. In order to evaluate the accuracy of the simulation results, the negative terrain, Hypsometric Integral (HI) and a gully head confusion matrix of the simulated results and the measured data are compared. The evaluation produces encouraging results in terms of numeric accuracy and spatial distribution, in agreement with the evolution of the loess gully. In addition, the simulation model of loess gully evolution this study proposed is applied to the evolution of a natural watershed, the Madigou watershed located in Jingbian County, Yulin City, Shaanxi Province. The comparison between the simulated results of the model and the measured data is used to verify the validity of the model. All the results show that the evolution model of loess gully based on Geo-CA is satisfactory in simulating the process of loess gully evolution, which provides a new research method and ideas for in-depth study of the process of gully evolution. </p>

A first data-driven gully head density map of the world

2020 ◽  
Author(s):  
Matthias Vanmaercke ◽  
Yixian Chen ◽  
Sofie De Geeter ◽  
Jean Poesen ◽  
Benjamin Campforts
Keyword(s):  
Global Scale ◽  
Google Earth ◽  
Controlling Factors ◽  
Gully Erosion ◽  
Data Driven ◽  
Chinese Loess Plateau ◽  
Regional Patterns ◽  
Se Brazil ◽  
Density Map ◽  
Gully Head

<p>Gully erosion has been recognized as a main driver of soil erosion and land degradation. While numerous studies have focussed on understanding gully erosion at local scales, we have very little insights into the patterns and controlling factors of gully erosion at a global scale. Overall, this process remains notoriously difficult to simulate and predict. A main reason for this is that the complex and threshold-dependent nature of gully formation leads to very high data requirements when aiming to simulate this process over larger areas.</p><p>Here we help bridging this gap by presenting the first data-driven analysis of gully head densities at a global scale.  We developed a grid-based scoring method that allows to quickly assess the range of gully head densities in a given area based on Google Earth imagery. Using this approach, we constructed a global database of mapped gully head densities for currently >7400 sites worldwide. Based on this dataset and globally available data layers on relevant environmental factors (topography, soil characteristics, land use) we explored which factors are dominant in explaining global patterns of gully head densities and propose a first global gully head density map.</p><p>Our results indicate that there are ca. 1.7 to 2 billion gully heads worldwide. This estimate might underestimate the actual numbers of gully heads since ephemeral gullies (in cropland) and gullies under forest remain difficult to map. Our database and analyses further reveal clear regional patterns in the presence of gullies. Around 27% of the terrestrial surface (excluding Antarctica and Greenland) has a density of > 1 gully head/km², while an estimated 14% has a density of > 10 gully heads/km² and 4% has even a density of > 100 gully heads/km². Major hotspots (with > 50 gully heads/km²) include the Chinese loess plateau, but also Iran, large parts of the Sahara Desert, the Andes and Madagascar. In addition, gully erosion also frequently occurs (with typical densities of 1-50 gully heads/km²) in the Mid-West USA, the African Rift, SE-Brazil, India, New-Zealand and Australia.</p><p>These regional patterns are mainly explained by topography and climate in interaction with vegetation cover. Overall, the highest gully densities occur in regions with some topography and a (semi-)arid climate. Nonetheless, it is important to point out that not all gully heads are still actively retreating. Building on earlier insights into the magnitude and controlling factors of gully head retreat rates, we explore what our current results imply for assessing actual gully erosion rates at a global scale.</p>

scholarly journals Erosion Assessment Modeling Using the Sateec Gis Model on the Prislop Catchment

2014 ◽  
Vol 8 (1) ◽  
pp. 217-224
Author(s):  
Gheorghe Damian ◽  
Daniel Năsui ◽  
Floarea Damian ◽  
Dan Ciurte
Keyword(s):  
Soil Loss ◽  
Assessment Tool ◽  
Universal Soil Loss Equation ◽  
Rill Erosion ◽  
Erosion Modeling ◽  
Gis Model ◽  
Sediment Assessment ◽  
Arcview Gis ◽  
Gully Head ◽  
Soil Loss Equation

Abstract The Sediment Assessment Tool for Effective Erosion Control (SATEEC) acts as an extension for ArcView GIS 3, with easy to use commands. The erosion assessment is divided into two modules that consist of Universal Soil Loss Equation (USLE) for sheet/rill erosion and the nLS/USPED modeling for gully head erosion. The SATEEC erosion modules can be successfully implemented for areas where sheet, rill and gully erosion occurs, such as the Prislop Catchment. The enhanced SATEEC system does not require experienced GIS users to operate the system therefore it is suitable for local authorities and/or students not so familiar with erosion modeling.

The Gully Head in the Loess Plateau and the Protection of the Gully Head for Oil and Gas Pipeline Engineering

ICPTT 2013 ◽  
2013 ◽  
Author(s):  
Cunjie Guo ◽  
Laibin Zhang ◽  
Wei Liang ◽  
Zhong Lu ◽  
Detian Liu ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Oil And Gas ◽  
Gas Pipeline ◽  
The Loess Plateau ◽  
Gully Head

scholarly journals Effects of drainage ditches and stone bunds on topographical thresholds for gully head development in North Ethiopia

Geomorphology ◽  
2015 ◽  
Vol 234 ◽  
pp. 193-203 ◽  
Author(s):  
Elise Monsieurs ◽  
Jean Poesen ◽  
Mekete Dessie ◽  
Enyew Adgo ◽  
Niko E.C. Verhoest ◽  
...  
Keyword(s):  
Drainage Ditches ◽  
Head Development ◽  
Gully Head
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