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Identification of Optimum Route Alignment in Landslide Areas: A Case Study from Sri Lanka

机译:确定滑坡地区的最佳路线路线:以斯里兰卡为例

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In Sri Lanka road network, especially in hilly terrain is affected by landslide in every rainy season. Therefore, the maintenance cost of the Road Development Authority is increasing and roads have to be closed for traffic due to landslides. Hence developing a methodology to identify an optimum route alignment in landslide areas is essential in the planning of roads. To identify the optimum route alignment for Beragala-Koslanda landslide area, geo-informatics approach was used considering engineering factors simultaneously in the present study. 1:10,000 scale topographic map, 30 m resolution downloaded USGS DEM, 1: 100,000 geology map and 1: 50,000 landslide hazard zone map were used as basic input data for the analysis. Using the basic input data, seven layers (Landslide hazard zone, Land use and management, Slope, Drainage density, Populated area, Sensitivity area and Lithology) were extracted and further they were weighted and ranked using Spatial Multi Criteria Analysis (SMCA) according to the values given by experts in the field of geology and highway engineering. The least cost path for the area was identified by using the least cost path algorithm in Arc GIS 10.2. Field verification was conducted with the participation of civil engineers and GPS (Global Positioning System) were used to go through the identified path. Finally, 15.414 km length alternative route was identified from Beragala to Koslanda landslide area. The final result obtained in this study supports other researches in the application of GIS and SMCA in complex planning. Possibilities of applying GIS and SMCA in identifying the route alignment avoiding landslide risk areas, was proved in this study.
机译:在斯里兰卡,每个雨季的路网,尤其是丘陵地带都受到滑坡的影响。因此,道路发展局的维护成本在增加,并且由于山体滑坡必须封闭道路以进行交通。因此,开发一种方法来确定滑坡地区的最佳路线是道路规划中必不可少的。为了确定Beragala-Koslanda滑坡区的最佳路线,本研究同时考虑了工程因素,采用了地理信息学方法。将1:1:1比例尺的地形图,30 m分辨率的USGS DEM下载,1:1:100,000地质图和1:50,000滑坡灾害带图用作分析的基本输入数据。使用基本输入数据,提取了七层(滑坡灾害带,土地使用和管理,坡度,排水密度,人口稠密区,敏感度区和岩性),然后使用空间多标准分析(SMCA)对它们进行加权和排序,根据地质和公路工程领域专家提供的价值。通过使用Arc GIS 10.2中的最小成本路径算法来确定该区域的最小成本路径。在土木工程师的参与下进行了现场验证,并使用GPS(全球定位系统)通过了确定的路径。最终,确定了从Beragala到Koslanda滑坡区的15.414 km长的替代路线。本研究获得的最终结果支持了GIS和SMCA在复杂计划中的应用的其他研究。这项研究证明了使用GIS和SMCA识别路线路线以避免滑坡风险区域的可能性。

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