Dataset of RSF scouring experiments on undisturbed soil samples on simulated rock-soil structure device

Rock surface flow (RSF), derived from secondary distribution of natural precipitation on exposed surfaces of bedrock outcrops. That drives the soils with extremely limited reserves lost from surface and underground through erosion. However, it is still a challenge to quantify the impact of rock surface flow on soil and water loss in a complex geotechnical environment. To achieve this, The RSF scouring experiment were conducted on these undisturbed soil samples on simulated rock-soil structure device which features the outcrop (exposed rock surface and unexposed RSI) and RSI undisturbed soil. Driving factors include the input flow volume on rock surface (RSFfv) and the inclination of rock surface (IRS). At the same time, our research shows that the erosion of rock surface flow leads to the underground leakage of soil. Therefore, the contribution of rock surface flow to soil erosion should be included in the soil erosion prediction model in karst, as it helps to enhance the accuracy and reliability of the models. as it helps to enhance the accuracy and reliability of the models.

岩面径流（Rock surface flow, RSF）源自基岩露头裸露表面上天然降水的二次分布。该径流通过侵蚀作用，导致储量极为有限的土壤从地表及地下流失。然而，在复杂岩土环境中量化岩面径流对土壤侵蚀与水土流失的影响仍是一项挑战。为实现该量化目标，本研究依托具备露头结构（含裸露岩面与未暴露岩土界面（RSI））及原状岩土界面土样的模拟岩土结构装置，开展了原状土样的岩面径流冲刷试验。试验的驱动因子包括岩面输入流量（RSFfv）与岩面坡度（IRS）。与此同时，本研究发现岩面径流侵蚀会引发土壤地下渗漏。因此，在喀斯特地区的土壤侵蚀预测模型中，应纳入岩面径流对土壤侵蚀的贡献，这有助于提升模型的精度与可靠性。