Soil erosion has always been a major environmental problem in many parts of the world including the northeastern region of India. An increase in the rate of soil erosion has tremendous implications on land degradation, biodiversity loss, productivity, etc. Hence, assessment of soil erosion hazard and its spatial distribution is essential to serve as a baseline data for effective control measures. The present study uses revised universal soil loss equation (RUSLE) and analytical hierarchy process (AHP) approach integrated with geospatial technology for modeling soil erosion hazard zone of West Kameng watershed of Arunachal Pradesh, Northeast India. The assessment showed that the erodibility factor of soil ranged between 0 and 0.38 t/ha/MJ/mm and slope length and steepness factor increases with increase in slope angle. Lower normalized difference vegetation index (NDVI) values depict vegetation cover and higher values represent the rocky area or barren land. Spatial distribution of conservation support practice on soil loss indicated the variability (0–1) where lower value represents the higher conservation practice. The predicted average soil erosion rate was 124.21 t/ha/Yr. Normalized eigenvector values ranged between 0.03 and 0.20. The areas with more slope, relative relief, drainage density, lineament density, and frequency have shown comparatively higher eigenvector values, and it has been noticed that the strength of these eigenvectors reduces with a decrease in the values of the parameters. The spatial soil erosion potential map was delineated using eight geo-environmental variables (LULC, geomorphology, slope, relative relief, drainage density, drainage frequency, lineament density, and lineament frequency). The soil hazard map showed that the moderate soil erosion has the maximum (57.71%) area cover followed by high erosion class (26.09%) which depicts that most of the watershed areas are moderate to high vulnerable to soil erosion. The efficiency of the AHP was validated applying area under curve (AUC) method which result 84.90% accuracy in the present study. Based on the findings, it is being recommended that present watershed requires adequate control procedures on a priority basis to conserve soil resources and reduce flood events and siltation of water bodies.

在世界许多地区，包括印度东北地区，水土流失一直是一个主要的环境问题。土壤侵蚀速率的提高对土地退化，生物多样性丧失，生产力等产生巨大影响。因此，评估土壤侵蚀危害及其空间分布对于作为有效控制措施的基准数据至关重要。本研究使用修正的通用土壤流失方程（RUSLE）和分析层次过程（AHP）方法，结合地理空间技术，对印度东北部阿鲁纳恰尔邦西卡缅河流域的水土流失危害区进行建模。评估表明，土壤的侵蚀因子在0到0.38 t / ha / MJ / mm之间，边坡长度和陡度因子随着边坡角度的增加而增加。较低的归一化植被指数（NDVI）值表示植被覆盖，较高的值表示多岩石的地区或贫瘠的土地。保护措施对土壤流失的空间分布表明其变异性（0-1），其中较低的值代表较高的保护措施。预测的平均土壤侵蚀速率为124.21 t / ha / Yr。归一化的特征向量值在0.03至0.20之间。具有更大斜率，相对起伏，排水密度，线质密度和频率的区域显示出相对较高的特征向量值，并且已经注意到，这些特征向量的强度随着参数值的减小而降低。利用八个地理环境变量（LULC，地貌，坡度，相对起伏，排水密度，排水频率，线条密度和线条频率）。土壤灾害图表明，中度水土流失面积最大（57.71％），其次是高度水土流失（26.09％），这表明大多数流域都属于中度至高度易受土壤侵蚀的地区。验证了AHP的效率，应用了曲线下面积（AUC）方法，在本研究中得出84.90％的准确性。根据调查结果，建议当前流域需要优先采取适当的控制程序，以保护土壤资源并减少洪水事件和水体淤积。09％），这表明大多数流域地区都属于中度到高度易受土壤侵蚀的地区。验证了AHP的效率，应用了曲线下面积（AUC）方法，在本研究中得出84.90％的准确性。根据调查结果，建议当前流域需要优先采取适当的控制程序，以保护土壤资源并减少洪水事件和水体淤积。09％），这表明大多数流域地区都属于中度到高度易受土壤侵蚀的地区。验证了AHP的效率，应用了曲线下面积（AUC）方法，在本研究中得出84.90％的准确性。根据调查结果，建议当前流域需要优先采取适当的控制程序，以保护土壤资源并减少洪水事件和水体淤积。