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A method for predicting shallow landslide area in managed and unmanaged forests

机译：人工林和非人工林浅层滑坡面积预测方法

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In recent years, with the decline of forestry in Japan, unplanted areas left after clear-cutting have increased rapidly. As shallow landslides occur frequently in clear-cut and unplanted areas, this study newly constructed a landslide risk prediction model, an improvement of a previous model [Kuroiwa and Hiramatsu , 2004], that considers the forest condition, especially whether the forest root system is decayed or developed following forest harvesting. Using this model, we calculated the shallow landslide area ratio in the Miyagawa Dam basin. It was possible to predict the shallow landslide area ratio with high accuracy compared with previous model application. Thus, the proposed model successfully predicted changes in shallow landslide areas of the basin by considering forest harvesting and rainfall.
机译：近年来，随着日本林业的减少，砍伐后留下的未种植面积迅速增加。由于在未砍伐和未种植的地区经常发生浅层滑坡，因此本研究新建了滑坡风险预测模型，该模型是对先前模型的改进[Kuroiwa and Hiramatsu，2004]，该模型考虑了森林状况，尤其是森林是否森林砍伐后，根系退化或发育。使用该模型，我们计算了宫川大坝盆地的浅层滑坡面积比。与以前的模型应用相比，可以高精度地预测浅层滑坡面积比。因此，该模型通过考虑森林采伐和降雨成功地预测了盆地浅层滑坡区域的变化。

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