坦桑尼亚滑坡时空分布研究进展

J. Tegeje, M. Kervyn
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引用次数: 2

摘要

本文旨在从时间和空间的角度对坦桑尼亚滑坡的发生进行盘点。具体而言,该清单侧重于确定坦桑尼亚容易发生山体滑坡的地区,确定该国山体滑坡发生的频率,确定山体滑坡的潜在和触发因素,山体滑坡的社会经济影响以及评估人们对坦桑尼亚山体滑坡的看法。通过利用一级和二级信息来源,实现了滑坡的识别和测绘。初步资料是通过对坦桑尼亚北部高地Pare山脉南北5处滑坡伤痕进行实地考察获得的。与当地居民进行了简短的讨论,以了解他们对山体滑坡的看法。次要数据是通过审查已获得的来源获得的。这项审查是针对上述实地考察中未包括的滑坡进行的。EMDAT还用于提供关于滑坡事件、死亡人数和社会经济影响的信息。Google Earth™搜索和图像解释用于定位和描述该国其他地区的滑坡,这些地区未被上述探索性实地研究覆盖。美国地质勘探局为坦桑尼亚提供的90米分辨率数字高程模型(DEM)用于绘制通过谷歌地球搜索确定的滑坡疤痕。Google Earth搜索和图像解释由存档来源的辅助信息支持。该清单指出,坦桑尼亚的山体滑坡在文献和政府灾害管理计划中得到的注意相对有限。除了20世纪70年代在乌鲁鲁古鲁山进行过研究外,近年来没有进行过正式的滑坡研究。尽管在网上进行了广泛的搜索,但坦桑尼亚并没有山体滑坡的清单。这可能是由于现有的假设,即与洪水、流行病和干旱等灾害相比,坦桑尼亚的山体滑坡发生频率低,而且是局部的,而洪水、流行病和干旱等灾害的发生影响到更多的人,吸引了更多的社区、政府和媒体的关注。因此,这影响了该国报告和管理山体滑坡事件的方式。然而,这一断言并不排除这样一个事实,即一次或几次滑坡事件,取决于它们的规模,发生的地点和处于危险中的元素的性质,可以影响到相当多的人,反之亦然。这份清单还记录了关于山体滑坡的文化视角。必须注意纳入适当的土著知识和人们对滑坡和其他灾害的看法,因为这些对于设计和实施了解文化和低成本的灾害管理战略至关重要。反过来,这可能会消除对早期预警系统的需求或降低成本。一些经审查的资料所提供的滑坡信息在时间和空间上是有限的。大多数访问的消息来源,特别是新闻网站,没有提供特定滑坡事件的足够细节,导致对灾害伤亡、影响和经济损失的报道不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Spatial and Temporal Distribution of Landslides in Tanzania
This paper intended to inventorize the occurrence of landslides in Tanzania in temporal and spatial terms. Specifically, the inventory focused on identifying areas in Tanzania which are prone to landslides, identifying the frequency of landslide occurrence in the country, identifying the underlying and triggering factors for landslides, the socio-economic impacts of landslides and assessing the people’s perception of landslides in Tanzania. Identification and mapping of landslide was achieved through the use primary and secondary sources of information. Primary data was acquired through exploratory field visit to the 5 landslide scars in the north and south Pare Mountains in the northern highlands of Tanzania. Short discussion with local people in the areas was made to gain insights into their perception of landslides. Secondary data was acquired through the review of achieved sources. This review was made in respect of the landslides that were not covered by the aforementioned exploratory field visit. The EMDAT was also used to provide information on the number of landslide events, fatalities and socio-economic impacts. Google Earth™ search and image interpretation were used to located and describe landslides in other regions of the country that were not covered by the aforementioned exploratory field study. A 90 m resolution Digital Elevation Model (DEM) from USGS for Tanzania was used to map the landslide scars identified through Google Earth search. Google Earth search and image interpretation were supported by secondary information from archived sources. The inventory noted that landslides in Tanzania have received relatively limited attention both in the literature and in government disaster management plans. With exception of studies conducted in Uluguru Mountain in 1970s, no formal landslide research has been made in recent years. Despite extensive web searches, no landslide inventory has been made in Tanzania. This may presumably be due to existing assumption that landslides in Tanzania have low frequency of occurrence and are localized compared to other disasters such as floods, epidemics and drought, whose occurrence affect many more people, drawing more community, government and media attention. This has thus, affected the way landslide events are reported and managed in the country. This assertion however, does not preclude the fact that one/few landslide events, depending on their magnitude, where they occur and nature of elements at risk, can affect significant number of people and vice versa. This inventory has also documented cultural perspectives on landslides. Care must be taken to incorporate appropriate indigenous knowledge and people’s perception pertaining to landslides and other disasters as these are critical in designing and implementing culturallyinformed and low cost disaster management strategies. This may, in turn, obviate the need or reduce cost for early warning systems. Landslide information provided by some reviewed sources is limited in time and space. Most of the visited sources, particularly news sites, do not provide enough details for particular landslide events, leading to underreporting of disaster casualties, impacts and economic damage.
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