水土流失加剧是西部煤矿区面临的主要生态环境问题之一，煤炭井工开采导致地表不同程度下沉变形，改变了坡度坡长因子，破坏了原有的地表水文过程，从而改变了矿区的水土流失状况。因此，掌握工作面开采强度对水土流失的影响规律，对科学设计开采强度、防控水土流失具有重要指导意义。坡度坡长因子是经典土壤流失方程中的关键变量，其对水土流失具有重要影响。针对工作面开采强度与修正的通用土壤流失方程（Revised universal soil loss equation, RUSLE）坡度坡长因子相关性关系问题，结合工作面现场地表下沉移动监测数据、开采沉陷概率积分法以及修正土壤流失方程，推导了坡度坡长因子计算方法，研究了地下开采强度与修正土壤流失方程中坡度坡长因子变化之间的关系，为平衡开采强度与矿区水土流失防治提供了理论依据。研究结果表明：① 基于概率积分法预测得到的坡度坡长因子剥离了采前自然起伏地形的影响，其结果能够更为直观地表现出开采强度与坡度坡长因子变化的相关性，得到的研究结论普适性更强；②坡度坡长因子与工作面采高呈正相关关系(r=0.7571,p=0.0487)，与深厚比呈显著负相关关系（r=-0.9522，p=0.0009），且二者相关度均较高；③在达到充分采动后，日开采体积、采宽的变化对坡度坡长因子的变化不产生显著影响。

Increased soil erosion is one of the main ecological and environmental problems faced by coal mining areas in the west. Coal mining has caused different degrees of surface subsidence and deformation, changed the slope and length factor, and destroyed the original surface process, therebychanging the soil erosion in the mining area. Therefore, mastering the law of the influence of mining intensity on soil erosion has important guiding significance for scientifically designing mining intensity to prevent and control soil erosion. Slope and slope length factoris a key variable in the classic soil loss equation, which has an important influence on soil erosion. Aiming at the correlation between mining intensity of working face and Revised Universal Soil Loss Equation (RUSLE) slope and length factor, combined with on-site surface subsidence movement monitoring data, mining subsidence probability integration method and revised soil loss equation, the calculation method of slope and length factor is deduced, and the relationship between the intensity of well mining and the change of slope and length factor in the modified soil loss equation is studied, which provides a theoretical basis for the balance of mining intensity and soil erosion control in the mining area. The research results show that: ① the slope and length factors predicted based on the probability integral method stripped off the influence of the natural undulating terrain before mining, and the results can more intuitively show the correlation between the mining intensity and the slope and slope length factors and theconclusions are more universal; ②the slope and length factor is positively correlated with working face height (r=0.757 1,p=0.048 7), and has a significant negative correlation with depth-to-thickness ratio (r=-0.952 2,p=0.000 9), and the correlation between the two is relatively high; ③after reaching full mining, the change of daily mining volume and mining width does not have a significant impact on the change of slope and length factor