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- 2015
基于GIS 的铜川市耀州区地质灾害危险性评价Keywords: 黄土, 分灾种, 危险性评价, 信息量模型, GIS, 灰色关联度,loess, disaster ty pe, hazar d assessment, info rmatio n amo unt mo del, GI S, g ray r elational g rade Abstract: 通过对铜川市耀州区120 处滑坡、66 处崩塌, 2 处小规模泥石流现场调查及资料的收集整理与分析, 分别构建 滑坡、崩塌及泥石流的地质灾害危险性评价指标体系并通过GI S 技术和信息量模型量化指标, 同时综合考虑指标 信息量排序结果与灰色关联度分析结果最终确定指标权重, 得到该区滑坡、崩塌及泥石流的危险性等级区划图。研 究结果表明: 基于GIS 的分灾害类型的危险性评价充分尊重了研究区地质灾害类型自身发育特点和规律, 为地质 灾害分类管理提供了科学依据, 使得当地的地质灾害预防与控制工作更具针对性、时效性和科学性, 且具有向类似 黄土区推广的价值。 Thro ug h the field investig atio n and data co llect ion of 120 landslides, 66 co llapses, and 2 small2scale debr is flow s in Yao zhou district o f Tong chuan City in Shaanx i Pro vince, the hazar d assessment index sy stems of geo log ical disasters o f land2 slide, collapse, and debr is flow wer e dev eloped. T he index es wer e quant ified using the GIS technolog y and info rmatio n amount model, and the index weig hts w ere determined by the information amount r anking r esult s and gr ey relational analy sis, w hich can generate the hazar d gr ade zoning maps of landslide, co llapse, and debr is flow in the study ar ea. The results showed t hat the haz2 ar d assessment of distinctio n disaster type based o n GIS follows the development cha racterist ics and law s of different disasters, which can pro vide the scientific basis fo r the classificat ion management o f g eolog ical disaster s in Yaozhou distr ict o f T ongchuan. Accor ding ly, the prev ention and co nt rol measures of lo cal geo log ical disasters can be mo re per tinent, prescriptiv e, and scient ific, and the metho d can be applied to the loess ar ea. 国家自然科学基金项目( 40372114)
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