潘芷加, 朱寿增, 北园芳人. 2014: RESS软件与数量化Ⅱ类分析方法在区域危险度评价中的应用. 工程地质学报, 22(1): 38-45.
    引用本文: 潘芷加, 朱寿增, 北园芳人. 2014: RESS软件与数量化Ⅱ类分析方法在区域危险度评价中的应用. 工程地质学报, 22(1): 38-45.
    PAN Zhijia, ZHU Shouzeng, Yoshito Kitazono. 2014: APPLICAITON OF RESS AND QUANTIFICATION THEORY Ⅱ IN REGIONAL RISK EVALUATION. JOURNAL OF ENGINEERING GEOLOGY, 22(1): 38-45.
    Citation: PAN Zhijia, ZHU Shouzeng, Yoshito Kitazono. 2014: APPLICAITON OF RESS AND QUANTIFICATION THEORY Ⅱ IN REGIONAL RISK EVALUATION. JOURNAL OF ENGINEERING GEOLOGY, 22(1): 38-45.

    RESS软件与数量化Ⅱ类分析方法在区域危险度评价中的应用

    APPLICAITON OF RESS AND QUANTIFICATION THEORY Ⅱ IN REGIONAL RISK EVALUATION

    • 摘要: 2012年7月中旬日本熊本县迎来特大暴雨,暴雨在熊本县市区内引发洪水,并在位于其东北部的阿苏地区引发了数量巨大、后果严重的地质灾害。通过同年10月到11月之间多次现场灾害调查,发现当地的地质灾害主要类型有崩塌、滑坡和泥石流。当地的地理环境给相关部门后续的治理和修复工作带来了极大的不便利,同时耗费了大量的时间和资金,因而相对于灾后进行治理和修复工作,事前对于当地可能发生地质灾害的区域进行危险度评价,在危险度大的地方提前建立防护措施具有更大的实际和经济价值。本文运用日本熊本大学工学部环境岩土研究室自主研发的危险度评价RESS软件对选取的阿苏坂梨区域进行危险度评价,获得了被研究区域的地势起伏度、横断面形状、斜面倾斜角度、集水面积、土地利用信息、土体表层地质、灾害场所变化情况等7个类别的解析图像和数据。结合使用数量化Ⅱ类分析方法,对危险度评价的结果进行验证和扩展,危险度评价的准确率和灾害场所的判断准确率均高于研究要求,另外也获得了由RESS软件解析出来的各个类别的因子对于地质灾害事件的贡献度大小。依据危险度评价的结果绘制出被研究区域的地质灾害预测预警地图,该地图简单易懂,具有一定的社会共享意义和专业参考价值。

       

      Abstract: A torrential rainfall came to Kumamoto prefecture of Japan in mid-July 2012,which initialed floods in the main city area and countless geologic hazards in Aso. They mainly include slope failures, landslides and mud-rock flows. The geographical environment there added too much inconvenience to the restoration work conducted by the related department. Thus compared to the operation of restoration work afterwards, erection of protective facilities in the potentially dangerous area prone to geologic hazards before-hand seems more practical and economical. RESS,risk evaluation system for slope failure based on geographical data base, developed independently by the Department of Civil and Environmental Engineering in Kumamoto University. Seven categories, relief energy, cross section, slope angle, water catchment, land use, geology, change of hazards location, together with risk evaluation were resolved in the forms of data and three-dimensional images. Quantification Theory Ⅱ method then was used to calculate and evaluate the potential risk of the Sakanashi area in Aso. Both the accuracy ratio of risk evaluation and hazards location discrimination were the research requirements. Finally a hazards map of the studied area for prediction was able to be plotted, in which the dangerous locations were marked out clearly by different colors, and which consequently is easy to be understood and be accepted by both the public and professionals.

       

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