安徽省空间运输联系初探——以货流为例

文章通过对安徽省20世纪90年代以来各城市货运量变动情况的分析,运用地域非均衡系数、位势商及地理联系率指标,总结得出近十五年来安徽省货流运输联系的基本特征及其时空演化趋势。自1990年以来,安徽省货流运输能力显著增强、运输结构不断优化、货运强度和货物生成密度持续下降,地区间运输联系逐步加强。在时间序列上,货运量分布表现出均衡化趋势,地域分布非均衡系数不断减小,同时,货运量分布区域位势高低悬殊,而且各城市的波动比较明显。在空间演化方面,货运量分布与生产地分离的趋势已经显现。     

Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California

Debris flows generated during rain storms on recently burned areas have destroyed lives and property throughout the Western U.S. Field evidence indicate that unlike landslide-triggered debris flows, these events have no identifiable initiation source and can occur with little or no antecedent moisture. Using rain gage and response data from five fires in Colorado and southern California, we document the rainfall conditions that have triggered post-fire debris flows and develop empirical rainfall intensity–duration thresholds for the occurrence of debris flows and floods following wildfires in these settings. This information can provide guidance for warning systems and planning for emergency response in similar settings.Debris flows were produced from 25 recently burned basins in Colorado in response to 13 short-duration, high-intensity convective storms. Debris flows were triggered after as little as six to 10 min of storm rainfall. About 80% of the storms that generated debris flows lasted less than 3 h, with most of the rain falling in less than 1 h. The storms triggering debris flows ranged in average intensity between 1.0 and 32.0 mm/h, and had recurrence intervals of two years or less. Threshold rainfall conditions for floods and debris flows sufficiently large to pose threats to life and property from recently burned areas in south-central, and southwestern, Colorado are defined by: I = 6.5D^− 0.7 and I = 9.5D^− 0.7, respectively, where I = rainfall intensity (in mm/h) and D = duration (in hours).Debris flows were generated from 68 recently burned areas in southern California in response to long-duration frontal storms. The flows occurred after as little as two hours, and up to 16 h, of low-intensity (2–10 mm/h) rainfall. The storms lasted between 5.5 and 33 h, with average intensities between 1.3 and 20.4 mm/h, and had recurrence intervals of two years or less. Threshold rainfall conditions for life- and property-threatening floods and debris flows during the first winter season following fires in Ventura County, and in the San Bernardino, San Gabriel and San Jacinto Mountains of southern California are defined by I = 12.5D^−0.4, and I = 7.2D^−0.4, respectively. A threshold defined for flood and debris-flow conditions following a year of vegetative recovery and sediment removal for the San Bernardino, San Gabriel and San Jacinto Mountains of I = 14.0D^−0.5 is approximately 25 mm/h higher than that developed for the first year following fires.The thresholds defined here are significantly lower than most identified for unburned settings, perhaps because of the difference between extremely rapid, runoff-dominated processes acting in burned areas and longer-term, infiltration-dominated processes on unburned hillslopes.     

金沙江下游云南小江流域山地灾害综合区划

在分别完成云南小江流域泥石流危险度区划、滑坡危险度区划和土壤侵蚀强度分区的基础上,对小江流域山地灾害进行综合区划。结果为,共分为三个不同等级的山地灾害综合区:(1)一级(高危险度)山地灾害综合区,(2)二级(次高危险度)山地灾害综合区和(3)四级(低危险度)山地灾害综合区;无三级(中危险度)山地灾害综合区。其中一级(高危险度)区面积1 425.34 km2,有泥石流沟84条,占区划区域泥石流沟总数的60.0%,有滑坡137个,占区划区域滑坡总数的77.4%,土壤侵蚀强度以轻、中度为主;二级(次高危险度)区面积756.79 km2,有泥石流沟35条,占区划区域泥石流沟总数的25.0%,有滑坡34个,占区划区域滑坡总数的19.2%,土壤侵蚀以轻、中度为主;四级(低危险度)区面积863.20 km2,有泥石流沟21条,占区划区域泥石流沟总数的15.0%,有滑坡6个,占区划区域滑坡总数的3.4%,土壤侵蚀以轻度为主。     

陕西西安翠华山地质景观遗迹成因探析

翠华山国家地质公园位于西安市南郊,包括水湫池、甘湫池和大坪三个景区。新的实地调查发现,甘湫池景区是一座罕见的古基岩滑坡,具有古滑坡可观察的景观形态特征,甘湫池不足堰塞湖,而是古滑坡形成的拉张洼地;水湫池堰塞坝的沉积物具有典型的“泥砾”结构,在形态特征上属于粘性重力流的碎屑流堆积;其坝体的形成与景区现有崩塌堆积无关;从空间分布和层序关系来看,景区内现有的崩塌砾石均堆积在古滑坡和泥石流堆积之上,由于各处具有不同的形态和结构特征,应具有成因的多样性和时间的多期性。     

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes

ABSTRACT

The spatio-temporal residual network (ST-ResNet) leverages the power of deep learning (DL) for predicting the volume of citywide spatio-temporal flows. However, this model, neglects the dynamic dependency of the input flows in the temporal dimension, which affects what spatio-temporal features may be captured in the result. This study introduces a long short-term memory (LSTM) neural network into the ST-ResNet to form a hybrid integrated-DL model to predict the volumes of citywide spatio-temporal flows (called HIDLST). The new model can dynamically learn the temporal dependency among flows via the feedback connection in the LSTM to improve accurate captures of spatio-temporal features in the flows. We test the HIDLST model by predicting the volumes of citywide taxi flows in Beijing, China. We tune the hyperparameters of the HIDLST model to optimize the prediction accuracy. A comparative study shows that the proposed model consistently outperforms ST-ResNet and several other typical DL-based models on prediction accuracy. Furthermore, we discuss the distribution of prediction errors and the contributions of the different spatio-temporal patterns.     

高位滑坡的运动转化形式

高位滑坡剪出口高于坡脚,它一旦滑离滑坡发生区,运动可能转化成四种形式:1.崩塌:由滑体经分级解体滑过剪出口处依次向前倾倒而成;2.碎屑流动或3.碎屑滑动:由滑动块体经碎屑化而成;4.泥石流:在适当的细粒物质量和水体条件下生成的碎屑流动。