A Study on Prediction Model of Gully Volume Based on Morphological Features in the JINSHA Dry-Hot Valley Region of Southwest China

Gully erosion is well-developed in the Jinsha dry-hot valley region, which has caused serious soil losses. volume regarded as an effective indicator that can reflect development intensity of gully erosion, and evolutionary processes gullies be predicted based on dynamic variation volume. Establishing prediction model essential to determine accurately conveniently. Therefore, this work, empirical was constructed verified detailed morphological features acquired by elaborate field investigations measurements 134 gullies. The results showed mean value length, width, depth, cross-section area, volume, vertical gradient decreased with weakness activity degree gully, although decrease these parameters had some differences. Moreover, a series models constructed, length demonstrated better predictor than other features. Lastly, effectiveness test V = aL^b most predicting among different established study. Our provide useful approach predict regions.