Estimation of initiation thresholds and soil loss from gully erosion on unpaved roads on China’s Loess Plateau

2021 ◽  
Author(s):  
Yiyang Zhao ◽  
Yan Zhang ◽  
Mutian Yuan ◽  
Meng Yang ◽  
Jiayong Deng
Keyword(s):  
Loess Plateau ◽  
Soil Loss ◽  
Gully Erosion ◽  
Unpaved Roads

Rill and gully erosion on unpaved roads under heavy rainfall in agricultural watersheds on China’s Loess Plateau

2019 ◽  
Vol 284 ◽  
pp. 106580 ◽  
Author(s):  
Yan Zhang ◽  
Yiyang Zhao ◽  
Baoyuan Liu ◽  
Zhiqiang Wang ◽  
Shuai Zhang
Keyword(s):  
Loess Plateau ◽  
Heavy Rainfall ◽  
Gully Erosion ◽  
Agricultural Watersheds ◽  
Unpaved Roads

Exploring the interaction of surface roughness and slope gradient in controlling rates of soil loss from sloping farmland on the Loess Plateau of China

2019 ◽  
Vol 34 (2) ◽  
pp. 339-354
Author(s):  
Taotao Li ◽  
Longshan Zhao ◽  
Hongteng Duan ◽  
Yifan Yang ◽  
Yu Wang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Loess Plateau ◽  
Soil Loss ◽  
Slope Gradient ◽  
The Loess Plateau ◽  
Sloping Farmland

scholarly journals Optimized Segmentation Based on the Weighted Aggregation Method for Loess Bank Gully Mapping

2020 ◽  
Vol 12 (5) ◽  
pp. 793 ◽  
Author(s):  
Hu Ding ◽  
Kai Liu ◽  
Xiaozheng Chen ◽  
Liyang Xiong ◽  
Guoan Tang ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Gully Erosion ◽  
Fine Tuning ◽  
Chinese Loess Plateau ◽  
Gradient Boosting ◽  
Catchment Scale ◽  
Chinese Loess ◽  
Extreme Gradient Boosting ◽  
Elevation Model ◽  
The Chinese Loess Plateau

The Chinese Loess Plateau suffers severe gully erosion. Gully mapping is a fundamental task for gully erosion monitoring in this region. Among the different gully types in the Loess Plateau, the bank gully is usually regarded as the most important source for the generation of sediment. However, approaches for bank gully extraction are still limited. This study put forward an integrated framework, including segmentation optimization, evaluation and Extreme Gradient Boosting (XGBoost)-based classification, for the bank gully mapping of Zhifanggou catchment in the Chinese Loess Plateau. The approach was conducted using a 1-m resolution digital elevation model (DEM), based on unmanned aerial vehicle (UAV) photogrammetry and WorldView-3 imagery. The methodology first divided the study area into different watersheds. Then, segmentation by weighted aggregation (SWA) was implemented to generate multi-level segments. For achieving an optimum segmentation, area-weighted variance (WV) and Moran’s I (MI) were adopted and calculated within each sub-watershed. After that, a new discrepancy metric, the area-number index (ANI), was developed for evaluating the segmentation results, and the results were compared with the multi-resolution segmentation (MRS) algorithm. Finally, bank gully mappings were obtained based on the XGBoost model after fine-tuning. The experiment results demonstrate that the proposed method can achieve superior segmentation compared to MRS. Moreover, the overall accuracy of the bank gully extraction results was 78.57%. The proposed approach provides a credible tool for mapping bank gullies, which could be useful for the catchment-scale gully erosion process.

Gully erosion susceptibility modelling for avoided degradation planning

2020 ◽  
Author(s):  
Jay Le Roux ◽  
Bennie Van der Waal
Keyword(s):  
Sediment Yield ◽  
Soil Loss ◽  
Large River ◽  
River Network ◽  
Gully Erosion ◽  
Yield Potential ◽  
Strategic Information ◽  
Large Reservoir ◽  
River Catchment ◽  
Dispersive Soils

<p>Gully erosion can reach alarming dimensions and contribute significantly to soil loss and sediment yield in a catchment.  Since restoration resources are usually limited, strategic information on sensitive and erosion susceptible areas are needed to avoid future degradation.  Although the mapping of areas susceptible to gully formation is not a new concept, this study has potential in the Mzimvubu River Catchment, the only large river network in South Africa without a large reservoir.  The Tsitsa tributary’s catchment, where two large reservoirs are planned, consists of large areas of highly erodible soils with widespread gully erosion evident.  It is important to prevent further gully erosion in the catchment due to the presence of duplex and dispersive soils. Therefore, this study modelled areas that are susceptible to gully development in the Tsitsa River Catchment, as well as estimated the sediment yield potential from the susceptible areas if gully development occurs.  This was achieved by mapping gully-free areas in a GIS that have the same DEM-derived topographical variables, soil associations and land cover than gullied areas, followed by scenario analysis of the potential sediment yield.  More than 30 000 ha (7%) of the catchment is intrinsically susceptible to further gully development, consisting of drainage paths with a large contributing area and erodible duplex soils.  If not protected, these susceptible areas could contribute an additional 300 million m<sup>3</sup> of sediment to the river network, reducing the volumes of both reservoirs by more than 50%. </p>

Sign in / Sign up

Export Citation Format

Share Document