scholarly journals Soil Erosion Modelling at Watershed Level in Indonesia: a Review

2019 ◽  
Vol 125 ◽  
pp. 01008
Author(s):  
Yuari Susanti ◽  
S Syafrudin ◽  
Muhammad Helmi
Keyword(s):  
Soil Erosion ◽  
Surface Soil ◽  
Estimation Model ◽  
Erosion Modeling ◽  
Soil Erosion Modeling ◽  
Erosion Rates ◽  
Global Soil ◽  
Erosion Modelling ◽  
The Right

Soil erosion is one of the most serious degradation problems in the world, so in Indonesia. The average level of global soil erosion ranges from 12-15 Ton/ha/yr, or it can be said that there is a surface soil loss of 0.90-0.95 mm of land. While the watershed in Indonesia is 458 in which 60 are critically heavy, 222 critical and 176 potentially critical. An action is needed to reduce erosion rates which is one of the causes of damage to the watershed. Soil erosion modeling is a method used in estimating the amount of soil erosion that occurs in an area. Various models of soil erosion are developed with the aim of producing precise erosion estimates. This study will discuss soil erosion modeling (definition, classification of models and proceed) and a review of erosion assessment models that are widely used in Indonesia (USLE, MUSLE, RUSLE, and SWAT). By knowing each erosion estimation model, hope can be able to choose the right model according to the study to be conducted.

scholarly journals Linking Soil Erosion Modeling to Landscape Patterns and Geomorphometry: An Application in Crete, Greece

2021 ◽  
Vol 11 (12) ◽  
pp. 5684
Author(s):  
Imen Brini ◽  
Dimitrios D. Alexakis ◽  
Chariton Kalaitzidis
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Anthropogenic Activities ◽  
Landscape Patterns ◽  
Parameter Analysis ◽  
Morphometric Parameter ◽  
Erosion Modeling ◽  
Soil Erosion Modeling ◽  
Erosion Rates ◽  
Soil Erosion Rates

Soil erosion is a severe and continuous environmental problem caused mainly by natural factors, which can be enhanced by anthropogenic activities. The morphological relief with relatively steep slopes, the dense drainage network, and the Mediterranean climate are some of the factors that render the Paleochora region (South Chania, Crete, Greece) particularly prone to soil erosion in cases of intense rainfall events. In this study, we aimed to assess the correlation between soil erosion rates estimated from the Revised Universal Soil Loss Equation (RUSLE) and the landscape patterns and to detect the most erosion-prone sub-basins based on an analysis of morphometric parameters, using geographic information system (GIS) and remote sensing technologies. The assessment of soil erosion rates was conducted using the RUSLE model. The landscape metrics analysis was carried out to correlate soil erosion and landscape patterns. The morphometric analysis helped us to prioritize erosion-prone areas at the sub-basin level. The estimated soil erosion rates were mapped, showing the spatial distribution of the soil loss for the study area in 2020. For instance, the landscape patterns seemed to highly impact the soil erosion rates. The morphometric parameter analysis is considered as a useful tool for delineating areas that are highly vulnerable to soil erosion. The integration of three approaches showed that there is are robust relationships between soil erosion modeling, landscape patterns, and morphometry.

Soil erosion modeling of watershed using cubic, quadratic and quintic splines

2021 ◽  
Author(s):  
Sarita Gajbhiye Meshram ◽  
Vijay P. Singh ◽  
Ozgur Kisi ◽  
Chandrashekhar Meshram
Keyword(s):  
Soil Erosion ◽  
Erosion Modeling ◽  
Soil Erosion Modeling

Sediment origins across the terrestrial-aquatic continuum: climate threat mitigation and promotion of water quality

2020 ◽  
Author(s):  
Katy Wiltshire ◽  
Toby Waine ◽  
Bob Grabowski ◽  
Miriam Glendell ◽  
Steve Addy ◽  
...  
Keyword(s):  
Water Quality ◽  
Soil Erosion ◽  
Soil Loss ◽  
River Channel ◽  
River Channels ◽  
Catchment Scale ◽  
Transport Pathways ◽  
Fine Grained ◽  
Erosion Rates ◽  
Erosion Modelling

<p>Although fine-grained sediment (FGS) is a natural component of river systems, increased fluxes can impact FGS levels to such an extent they cause detrimental, irreversible changes in the way rivers function intensifying flood risk and negatively affecting water quality.</p><p>Previous catchment scale studies indicate there is no simple link between areas of sediment loss and the organic carbon (OC) load in waterways; areas with a high soil loss rate may not contribute most sediment to the rivers and areas that contribute the most sediment may not contribute the most OC. Anthropogenic and climate changes can accelerate soil erosion and the role of soil OC transported by erosional processes in the fluxes of C between land, water and atmosphere is still debated. Tracing sediment pathways, likely depositional areas and connections to streams leads to better assumptions about control processes and better estimation of OC fluxes.</p><p>In this innovative study OC fingerprinting of sediment reaching a catchment’s waterbodies is combined with OC stock and erosion modelling of the terrestrial catchment. Initial results show disconnect between catchment OC loss erosion modelling and fingerprinting results, which could be due to failure to model connectivity between the land and river channel. The current soil erosion model RUSLE (Revised Universal Soil Loss Equation) calculates only the spatial pattern of mean annual soil erosion rates. Using the WaTEM SEDEM model, which in includes routing (and possible en route deposition) of eroded sediments to river channels, we aim to determine the dominant source of OC within catchment streams by identification of both the land-use specific areas with the highest OC loss and the transport pathways between the sources and river channel.</p>

Sign in / Sign up

Export Citation Format

Share Document