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Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential, and Perspectives
Published in Prasad S. Thenkabail, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, 2015
José A. M. Demattê, Cristine L.S. Morgan, Sabine Chabrillat, Rodnei Rizzo, Marston H.D. Franceschini, Fabrício da S. Terra, Gustavo M. Vasques, Johanna Wetterlind
To perform land use planning and promote soil conservation, information about a speci¤c area is needed such as relief and slope data, erosion susceptibility, soil classes, vegetation cover, among management factors. Additionally, it is also necessary to identify areas that have already exhibited problems, so that corrective measures can be taken. SS can be used to identify possible problems in the soil and monitor the e¦ects of management decisions by looking at soil and plant spectral responses. Brodský et al. (2013) mapped the SOC through VNIR spectroscopy with R2 over 0.7 and RPD over 1.5 in eroded areas at the farm level. King et al. (2005) and Vrieling (2006) presented an interesting review describing erosion mapping techniques integrating inputs derived from SSS and additional data sources into runo¦ and erosion prediction models. Similarly, Shruthi et al. (2014) detected erosion e¦ects and monitored variations in erosion dynamics and degradation levels using Ikonos-2 and GeoEye-1. Both D’Oleire-Oltmanns et al. (2012) and Peter et al. (2014) used
Soil Erosion by Water-Model Concepts and Application
Published in Abrar Yousuf, Manmohanjit Singh, Watershed Hydrology, Management and Modeling, 2019
Jürgen Schmidt*, Michael von Werner
The model EROSION 3D was developed with the intention to create an easy-to-use tool for erosion prediction in soil and water conservation planning and assessment (Schmidt 1992, Von Werner 1995). The model, which is predominantly based on physical principles, simulates the detachment of soil, the transport deposition of detached soil particles by overland flow, incl. the grain size distribution of the transported sediment and the sediment delivery into downstream water courses caused by single events (Schmidt 1992).
Erosion
Published in Brian D. Fath, Sven E. Jørgensen, Megan Cole, Managing Soils and Terrestrial Systems, 2020
Erosion is a natural process of soil detachment and removal that can be greatly influenced through human activities (agriculture, construction, timber-harvesting, etc.). Use of proper erosion prediction technology and appropriate erosion control methodologies is critical if we are to sustain the soil resource for use by future generations.
Long-term effects of Cement Kiln Dust (CKD) on erosion control of a soil slope
Published in International Journal of Geotechnical Engineering, 2022
Hamid Ranjkesh Adarmanabadi, Arezou Rasti, Mehrdad Razavi
One of the most critical environmental issues in land development and the slopes’ strategic structure is erosion (Fox and Bryan 2000; Shanshan et al. 2018). Soil erosion is a detachment and transfer of the top layer of soil by exogenic processes (Apollo, Andreychouk, and Bhattarai 2018), (Escribano et al. 2017). There are different internal (particle size distribution, cohesiveness, moisture condition, and soil texture) and external factors (topography, vegetative cover, and slope angle) influencing soil erosion (Heng, Sander, and Scott 2009). There are powerful tools to model and predict soil erosion rates, such as the Universal Soil Loss Equation (USLE) and the Water Erosion Prediction Project (WEPP) model (Watson and Laflen, 1986).
Investigation of erosion phenomena and influencing factors due to the presence of solid particles in the flow: a review
Published in International Journal of Ambient Energy, 2021
Suhas M Shinde, Pradeep A Patil, Virendra K Bhojwani
To predict the performance and commercialisation of nanofluids a comparative study of the erosion and corrosion on system materials due to flowing nanofluids is important to help the design of heat-transfer systems. In literature, little information on erosion and mechano-chemical damage in the nanofluids is revealed (Celata, Annibale, and Mariani 2011; Singh et al. 2009; Wong and Leon 2010). Various models are proposed (Gnanavelu et al. 2011; Pereira, de Souza, and de MoroMartins 2014; Poursaeidi, Tafrishi, and Amani 2017) for erosion prediction, and along with analytical models, numerical models are also used for accurate prediction of erosion. The influence of particles on the erosion of the material surface is modelled via ANSYS-CFD coupled with the erosion models developed by Grant and Tabakoff (ANSYS, 2017a, 2017b; Grant and Tabakoff 1975). The CFD-DEM pairing scheme is productive because of its superior computational suitability and higher competency to capture the particle physics during the flow (Yu and Xu 2003). Researchers combined other models along with CFD to study the effect of base fluid velocities on the erosion phenomena in bend pipes, example Eulerian CFD modelling with Lagrangian particle tracking (Song et al. 2013) is used for erosion prediction in U-bend (Mazumder 2012), and also the discrete phase model (DPM) (Badr et al. 2002; Badr et al. 2005; Mansouri et al. 2015) was applied to pretend the particle motion. Zhang et al. (Zhang, McLaury, and Shirazi 2009) augmented the particle near-wall velocity and erosion prediction with amendments in existing models. Chen et al. (Chen, McLaury, and Shirazi 2002) added a stochastic rebound model (Grant and Tabakoff 1975) to give a significant estimate of the behaviour of erosion.