scholarly journals Application of GIS tools for Leça River Basin soil erosion (Northern Portugal) evaluation

2009 ◽  
Author(s):  
F. Taveira-Pinto ◽  
S. Petan ◽  
M. Mikos ◽  
J. Pais-Barbosa
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Northern Portugal ◽  
Gis Tools ◽  
Application Of Gis

scholarly journals Modeling soil erosion in the Chagan river basin of the west Kazakhstan with using RUSLE and GIS tools

2020 ◽  
Vol 41 (2(SI)) ◽  
pp. 396-404
Author(s):  
T. Darbayeva ◽  
◽  
N. Ramazanova ◽  
B. Chashina ◽  
Zh. Berdenov ◽  
...  
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
The West ◽  
Gis Tools ◽  
West Kazakhstan

Social Forestry in Environmentally Degraded Regions of India: Case-study of the Mayurakshi Basin

1995 ◽  
Vol 22 (1) ◽  
pp. 20-30 ◽  
Author(s):  
Nandini Chatterjee
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Forest Products ◽  
River Valley ◽  
Social Forestry ◽  
Fuel Wood

Social Forestry (SF) schemes have been implemented in India since the 1980s to combat deforestation, increase the supply of fuel-wood and fodder, and provide minor forest products for the rural populaton. The relevance of such Schemes in the Mayurakshi River Basin is basically due to its environmentally degraded state. Latterly the Basin has been brought under the Mayurakshi River Valley Project, but unless measures are undertaken to mitigate problems of soil erosion, the efficiency of the Project will be hampered.

Morphometric analysis to characterize the soil erosion susceptibility in the western part of lower Gangetic River basin, India

2021 ◽  
Vol 14 (6) ◽  
Author(s):  
Raj Kumar Bhattacharya ◽  
Nilanjana Das Chatterjee ◽  
Prasenjit Acharya ◽  
Kousik Das
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Morphometric Analysis

scholarly journals Using SWAT to Evaluate Streamflow and Lake Sediment Loading in the Xinjiang River Basin with Limited Data

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 39 ◽  
Author(s):  
Lifeng Yuan ◽  
Kenneth J. Forshay
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Lake Sediment ◽  
Sediment Yield ◽  
Sediment Load ◽  
Poyang Lake ◽  
Sediment Source ◽  
Sediment Loading ◽  
Source Areas ◽  
Annual Sediment

Soil erosion and lake sediment loading are primary concerns of watershed managers around the world. In the Xinjiang River Basin of China, severe soil erosion occurs primarily during monsoon periods, resulting in sediment flow into Poyang Lake and subsequently causing lake water quality deterioration. Here, we identified high-risk soil erosion areas and conditions that drive sediment yield in a watershed system with limited available data to guide localized soil erosion control measures intended to support reduced sediment load into Poyang Lake. We used the Soil and Water Assessment Tool (SWAT) model to simulate monthly and annual sediment yield based on a calibrated SWAT streamflow model, identified where sediment originated, and determined what geographic factors drove the loading within the watershed. We applied monthly and daily streamflow discharge (1985–2009) and monthly suspended sediment load data (1985–2001) to Meigang station to conduct parameter sensitivity analysis, calibration, validation, and uncertainty analysis of the model. The coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS), and RMSE -observation’s standard deviation ratio (RSR) values of the monthly sediment load were 0.63, 0.62, 3.8%, and 0.61 during calibration, respectively. Spatially, the annual sediment yield rate ranged from 3 ton ha−1year−1 on riparian lowlands of the Xinjiang main channel to 33 ton ha−1year−1 on mountain highlands, with a basin-wide mean of 19 ton ha−1year−1. The study showed that 99.9% of the total land area suffered soil loss (greater than 5 ton ha−1year−1). More sediment originated from the southern mountain highlands than from the northern mountain highlands of the Xinjiang river channel. These results suggest that specific land use types and geographic conditions can be identified as hotspots of sediment source with relatively scarce data; in this case, orchards, barren lands, and mountain highlands with slopes greater than 25° were the primary sediment source areas. This study developed a reliable, physically-based streamflow model and illustrates critical source areas and conditions that influence sediment yield.

Influence of climate change on soil erosion in high mountain area: a case study of upper Heihe river basin

2021 ◽  
Author(s):  
Li Wang ◽  
Fan Zhang ◽  
Guanxing Wang
Keyword(s):  
Climate Change ◽  
Soil Erosion ◽  
River Basin ◽  
Effect Of Temperature ◽  
Heihe River ◽  
High Mountain ◽  
Mountain Area ◽  
Impact Of Climate Change ◽  
High Mountain Area ◽  
The Impact

<p>The impact of climate change on soil erosion is pronounced in high mountain area. In this study, the revised universal soil loss equation (RUSLE) model was improved for better calculation of soil erosion during snowmelt period by integrating a distributed hydrological model in upper Heihe river basin (UHRB). The results showed that the annual average soil erosion rate from 1982 to 2015 in the study area was 8.1 t ha<sup>-1 </sup>yr<sup>-1</sup>, belonging to the light grade. To evaluate the influence of climate change on soil erosion, detrended analysis of precipitation, temperature and NDVI was conducted. It was found that in detrended analysis of precipitation and temperature, the soil erosion of UHRB would decrease 26.5% and 3.0%, respectively. While in detrended analysis of NDVI, soil erosion would increase 9.9%. Compared with precipitation, the effect of temperature on total soil erosion was not significant, but the detrended analysis of temperature showed that the effect of temperature on soil erosion during snowmelt period can reach 70%. These finding were helpful for better understanding of the impact of climate change on soil erosion and provide a scientific basis for soil management in high mountain area under climate change in the future.</p>

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