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GIS‑based comparative study of information value and frequency ratio method for landslide hazard zonation in a part of mid‑Himalaya in Himachal Pradesh

机译:基于GIS的喜马al尔邦喜马拉雅山中部部分滑坡灾害分区信息值和频率比方法的比较研究

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摘要

The road network of a developing country plays a vital role in its overall development. It is therefore important to ascertainlandslide hazard assessment along a road network. Landslide hazard zonation focuses on preparing landslide hazard map byconsidering major instability factors causing the landslides. The present study deals with geographical information systemsbasedlandslide hazard zonation of the study area. The study area comes under the mid-Himalayan region of HimachalPradesh, India. The slope failures create major havoc every year due to high frequency of landslides along the road. Eightmajor landslide-causing factors have been identified for the study area, which includes slope, relative relief, curvature, aspect,drainage density, lithology, lineament density, and land use/land cover. Corresponding to each landslide causative factor,a layer has been prepared and landslide hazard zonation maps of the study area were evolved by using frequency ratio andinformation value methods. Approximately, 75% of the total landslides which occurred in the study area were used for trainingpurpose, and remaining 25% were used for the validation of results using the area under curve technique. The developedlandslide hazard zonation maps show satisfactory agreement with the landslide inventory of the study area. The successrate curve obtained for frequency ratio method is 77.18%, and for information value method, it is 74.76%. The validation ofresult illustrates that frequency ratio method is more accurate as compared to information value method for the study area.The present study shows that geographical information system provides a better environment for modelling of the statisticaltechniques, that is, frequency ratio and information value method in the present study.
机译:发展中国家的公路网在其总体发展中起着至关重要的作用。因此,重要的是确定沿路网的滑坡灾害评估。滑坡灾害分区主要是通过考虑引起滑坡的主要不稳定性因素来准备滑坡灾害图。本研究涉及基于地理信息系统的研究区域滑坡灾害分区。研究区域位于印度喜马al尔邦喜马拉雅山脉中部地区。由于公路沿途发生的高频率滑坡,每年的斜坡破坏都会造成严重破坏。研究区域已经确定了八个主要的引起滑坡的因素,包括坡度,相对起伏,曲率,纵横比,排水密度,岩性,线质密度和土地利用/土地覆盖。对应于每个滑坡成因,采用频率比和信息值法,编制了一层,研究区域的滑坡灾害分区图。在研究区域发生的滑坡总数中,大约有75%用于训练目的,其余25%用于使用曲线下面积技术进行结果验证。已开发的滑坡灾害分区图与研究区域的滑坡清单显示出令人满意的一致性。频率比法获得的成功曲线为77.18%,信息值法获得的成功曲线为74.76%。结果的验证表明,与研究区域的信息值方法相比,频率比方法更准确。本研究表明地理信息系统为统计技术的建模提供了更好的环境,即频率比和信息值方法在地理区域内是有效的。本研究。

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