Agricultural land degradation by piping erosion in Chaco Plain, Northwestern Argentina

Pereyra, María Alejandra; Fernández, Diego Sebastián; Marcial, Enzo Rubén; Puchulu, María Elena

doi:10.1016/j.catena.2019.104295

Cited by 22 publications

(15 citation statements)

References 56 publications

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“…The geostatistical analysis of the permeability values, in addition to confirming and better defining the geometry of the lateral variation, gives a clear indication regarding the outflow routes of subsurface waters, which move from the less permeable areas towards those with greater permeability, from NW to SE. As highlighted by many scientific researches (Toulkeridis et al 2016;Wilson et al 2018;Yano et al 2019;Pereyra et al 2020;Wu et al 2020) the presence of open fractures in the lavas and the easy erodibility of the tuffites favour the migration of the latter towards the fractures, with consequent siphoning phenomena and therefore superficial subsidence.…”

Section: Discussionmentioning

confidence: 99%

Geophysical surveys integrated with rainfall data analysis for the study of soil piping phenomena occurred in a densely urbanized area in eastern Sicily

Patti

Grassi

Morreale³

et al. 2021

Nat Hazards

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The occurrence of strong and abrupt rainfall, together with a wrong land use planning and an uncontrolled urban development, can constitute a risk for infrastructure and population. The water flow in the subsoil, under certain conditions, may cause underground cavities formation. This phenomena known as soil piping can evolve and generate the surface collapse. It is clear that such phenomena in densely urbanized areas represent an unpredictable and consistent risk factor, which can interfere with social activities. In this study a multidisciplinary approach aimed to obtain useful information for the mitigation of the risks associated with the occurrence of soil piping phenomena in urban areas has been developed. This approach is aimed at defining the causes of sudden soil subsidence events, as well as the definition of the extension and possible evolution of these instability areas. The information obtained from rainfall data analysis, together with a study of the morphological, geological and hydrogeological characteristics, have allowed us to evaluate the causes that have led to the formation of soil pipes. Furthermore, performance of 3D electrical resistivity surveys in the area affected by the instability have allowed us to estimate their extension in the subsoil and identifying the presence of further areas susceptible to instability.

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Section: Discussionmentioning

confidence: 99%

Geophysical surveys integrated with rainfall data analysis for the study of soil piping phenomena occurred in a densely urbanized area in eastern Sicily

Patti

Grassi

Morreale³

et al. 2021

Nat Hazards

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“…Data mining models have been considered by various researchers as suitable approaches in soil erosion studies. Examples for the application of data mining models are provided by studies on gully erosion [28][29][30][31][32][33][34], piping erosion [35,36], and landslides [25,[37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques

Ouri

Golshan

Janizadeh

et al. 2020

Land

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Soil erosion determines landforms, soil formation and distribution, soil fertility, and land degradation processes. In arid and semiarid ecosystems, soil erosion is a key process to understand, foresee, and prevent desertification. Addressing soil erosion throughout watersheds scales requires basic information to develop soil erosion control strategies and to reduce land degradation. To assess and remediate the non-sustainable soil erosion rates, restoration programs benefit from the knowledge of the spatial distribution of the soil losses to develop maps of soil erosion. This study presents Support Vector Machine (SVM), Random Forest (RF), and adaptive boosting (AdaBoost) data mining models to map soil erosion susceptibility in Kozetopraghi watershed, Iran. A soil erosion inventory map was prepared from field rainfall simulation experiments on 174 randomly selected points along the Kozetopraghi watershed. In previous studies, this map has been prepared using indirect methods such as the Universal Soil Loss Equation to assess soil erosion. Direct field measurements for mapping soil erosion susceptibility have so far not been carried out in our study site in the past. The soil erosion rate data generated by simulated rainfall in 1 m2 plots at rainfall rate of 40 mmh−1 was used to develop the soil erosion map. Of the available data, 70% and 30% were randomly classified to calibrate and validate the models, respectively. As a result, the RF model with the highest area under the curve (AUC) value in a receiver operating characteristics (ROC) curve (0.91), and the lowest mean square error (MSE) value (0.09), has the most concordance and spatial differentiation. Sensitivity analysis by Jackknife and IncNodePurity methods indicates that the slope angle is the most important factor within the soil erosion susceptibility map. The RF susceptibility map showed that the areas located in the center and near the watershed outlet have the most susceptibility to soil erosion. This information can be used to support the development of sustainable restoration plans with more accuracy. Our methodology has been evaluated and can be also applied in other regions.

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“…Agriculture as an anthropogenic activity generates significant externalities, both positive and negative, towards the well-being of the planet (Bruinsma, 2017). Among other aspects, negative externalities are associated with significant contributions to climate change (FAO, 2014), land degradation and soil erosion (Pereyra et al, 2020;Rodrigo-Comino, Brevik & Cerdà, 2018;Prosdocimi, Cerdà & Tarolli, 2016), freshwater depletion (Villanueva-Rey et al, 2018) and pollution from plant nutrients and pesticides (Renouf et al, 2018). Within agri-food sectors, wine stands out as one of the most important in the global food market (Bonamente et al, 2016;Bosco et al, 2011), especially in the European Mediterranean countries (Spain, Italy and France), which are the main wine producers in the world.…”

Section: Introductionmentioning

confidence: 99%

Assessing the environmental impact of Spanish vineyards in Utiel-Requena PDO: The influence of farm management and on-field emission modelling

Sinisterra-Solís

Sanjuán

Estruch

et al. 2020

Journal of Environmental Management

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Agricultural land degradation by piping erosion in Chaco Plain, Northwestern Argentina

Cited by 22 publications

References 56 publications

Geophysical surveys integrated with rainfall data analysis for the study of soil piping phenomena occurred in a densely urbanized area in eastern Sicily

Geophysical surveys integrated with rainfall data analysis for the study of soil piping phenomena occurred in a densely urbanized area in eastern Sicily

Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques

Assessing the environmental impact of Spanish vineyards in Utiel-Requena PDO: The influence of farm management and on-field emission modelling

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