“Cape Fear”—A Hybrid Hillslope Plot for Monitoring Hydrological Processes

Tauro, Flavia; Petroselli, Andrea; Fiori, Aldo; Romano, Nunzio; Rulli, Maria Cristina; Porfiri, Maurizio; Palladino, Maria Teresa; Grimaldi, Salvatore

doi:10.3390/hydrology4030035

Cited by 7 publications

(3 citation statements)

References 59 publications

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“…The saturated water content was measured by the gravimetric method, whereas the saturated hydraulic conductivity was measured by the falling-head method. For a complete characterization of soil parameters, further details can be found in [55].…”

Section: Cape Fear Experimental Sitementioning

confidence: 99%

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Hillslope Erosion Mitigation: An Experimental Proof of a Nature-Based Solution

et al. 2021

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Soil erosion during rainfall events is affected by several factors, such as topography, soil type, land management, and vegetation cover. In this study, a series of tests investigates the influence of selected perennial herbaceous plants with a deep and strong rooting system, called MC1, on runoff generation and soil erosion. The tests on the investigated nature-based solution have been performed in the Cape Fear experimental hillslope with natural and artificial rainfall and for different vegetation heights. For all the experiments, runoff, soil moisture, and erosion data were observed and collected. The results obtained in this study suggest the following conclusions: (1) MC1 is effective in terms of soil erosion reduction already with a minimum vegetation height equal to 30 cm; (2) MC1 maximum efficiency, in terms of soil loss reduction, has been reached for a vegetation height equal to 70 cm; (3) In terms of the eroded material, the use of MC1 allows for a reduction of soil loss up to 300 times higher than the bare soil condition; (4) The use of MC1 allows for a reduction in the runoff coefficient up to 1/3 of the corresponding value in the bare soil condition.

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Section: Cape Fear Experimental Sitementioning

confidence: 99%

“…Monitored parameters are sampled at 1 Hz, then averaged at 5 min resolution, and stored on a CR10X Campbell Scientific data logger. Detailed soil characterization of the plot along with the calibration of turbidity and water level sensors are provided in [55,60].…”

Section: Cape Fear Experimental Sitementioning

confidence: 99%

Hillslope Erosion Mitigation: An Experimental Proof of a Nature-Based Solution

et al. 2021

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“…Another factor that has not been taken into account concerns the suspended sediment lost by the reservoir spillway. Tauro [72] indirectly estimates suspended solids by means of water turbidity. The concentration of suspended solids typically increases with the flow speed.…”

Section: Discussionmentioning

confidence: 99%

Assessing Soil Erosion by Monitoring Hilly Lakes Silting

et al. 2022

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Soil erosion continues to be a threat to soil quality, impacting crop production and ecosystem services delivery. The quantitative assessment of soil erosion, both by water and by wind, is mostly carried out by modeling the phenomenon via remote sensing approaches. Several empirical and process-based physical models are used for erosion estimation worldwide, including USLE (or RUSLE), MMF, WEPP, PESERA, SWAT, etc. Furthermore, the amount of sediment produced by erosion phenomena is obtained by direct measurements carried out in experimental sites. Data collection for this purpose is very complex and expensive; in fact, we have few cases of measures distributed at the basin scale to monitor this phenomenon. In this work, we propose a methodology based on an expeditious way to monitor the volume of hilly lakes with GPS, sonar sensor and aquatic drone. The volume is obtained by means of an automatic GIS procedure based on the measurements of lake depth and surface area. Hilly lakes can be considered as sediment containers. Time-lapse measurements make it possible to estimate the silting rate of the lake. The volume of 12 hilly lakes in Tuscany was measured in 2010 and 2018, and the results in terms of silting rate were compared with the estimates of soil loss obtained by RUSLE and MMF. The analyses show that all the lakes measured are subject to silting phenomena. The sediment estimated by the measurements corresponds well to the amount of soil loss estimated with the models used. The relationships found are significant and promising for a distributed application of the methodology, which allows rapid estimation of erosion phenomena. Substantial differences in the proposed comparison (mainly found in two cases) can be justified by particular conditions found on site, which are difficult to predict from the models. The proposed approach allows for a monitoring of basin-scale erosion, which can be extended to larger domains which have hilly lakes, such as, for example, the Tuscany region, where there are more than 10,000 lakes.

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