The primary purpose of this study is to find out and discuss the characteristics, causes, and consequences of the landslides of June 13, 2017, in the Rangamati district Bangladesh. Since rainfall triggered the landslides, debris flow accounts for 40.45% of the landslides. Most of the landslides are small (mean 274. 2 m2 with a standard deviation of 546.1 m2). Size of 62.30% of the landslides was < 100 m2. The probability density of 50–100 m2 landslides is the highest and with the increase of the size of landslides, probability density decreases. It indicates the chance of large landslides (> 1000 m2) is low. Frequency ratio, logistic regression, and Spearman’s rank correlation were used to find out the relationship between 15 landslide causal factors including elevation, slope, rainfall, aspect, land use/land cover, land use/land cover change and distance to the road network with the occurrences and size of landslides. Among the land use/land cover types built-up areas [frequency ratio (FR) = 5.67], among land-use land-cover change types: vegetation to built-up (FR = 5.31) are the most prone areas to landslides. Logistic regression models found six causal factors were statistically significant, including slope (Coefficient, ß = 1.05), and distance to the road network (ß = 0.44). The size of the landslides had a significant relationship with five causal factors, including annual rainfall (ρ = 0.52), and elevation (ρ = 0.24). Paired sample t-test on pre-event and post-event monthly incomes revealed that landslides had a significant impact on different occupations of the local people. People involved in primary economic activities like the slash and burn agriculture (locally known as jhum cultivation) and fishing are the worst sufferers of landslides as they experienced a significant fall of income after the landslides. The findings of the study would help the policymakers to mitigate landslide hazards in the Rangamati district.

中文翻译：

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孟加拉国兰加马蒂地区2017年6月13日滑坡的特征，成因和后果调查

这项研究的主要目的是找出并讨论2017年6月13日在孟加拉国Rangamati地区发生的滑坡的特征，成因和后果。由于降雨触发了滑坡，泥石流占滑坡的40.45％。大多数滑坡很小（平均274. 2 m2，标准偏差为546.1 m2）。62.30％的滑坡面积小于100平方米。50-100 m2滑坡的概率密度最高，并且随着滑坡尺寸的增加，概率密度降低。这表明发生大滑坡（> 1000 m2）的机会很小。利用频率比，对数回归和Spearman等级相关性来找出15个滑坡成因之间的关系，包括海拔，坡度，降雨，坡向，土地利用/土地覆盖，土地利用/土地覆盖的变化以及与道路网络的距离以及滑坡的发生和规模。在土地利用/土地覆盖类型的建成区中[频率比（FR）= 5.67]，在土地利用的土地覆盖变化类型中：植被到建成区（FR = 5.31）是滑坡最容易发生的地区。Logistic回归模型发现六个因果关系具有统计学意义，其中包括坡度（系数，ß= 1.05）和与道路网的距离（ß= 0.44）。滑坡的大小与五个因果关系密切，包括年降雨量（ρ= 0.52）和海拔（ρ= 0.24）。事前和事后月收入的配对样本t检验显示，滑坡对当地居民的不同职业有重大影响。从事刀耕火种的农业（当地称为竹林种植）和渔业等初级经济活动的人是滑坡的最严重受害者，因为他们在滑坡后收入大幅下降。该研究的结果将有助于政策制定者减轻兰加马蒂地区的滑坡灾害。