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Geospatial Modeling for Sinkholes Hazard Map Based on GIS & RS Data

机译：基于GIS和RS数据的污水坑灾害地图的地理空间建​​模。

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The Kinta Valley is an area of karst in the north-western part of Peninsular Malaysia. Over 30 years of uncontrolled land use and development has led to significant changes in topography and geomorphology, such as the appearance of sinkholes. In this paper, geospatial techniques were utilized to the task of evaluating sinkholes susceptibility map using a spatial multi criteria evaluation approach (SMCE). Sinkhole location and a spatial database were applied to calculate eight inherent causative factors for limestone instability namely: lithology, structure (lineament), soil cover, slope, land use mining, urban area features, ponds and rivers. The preparation of the sinkhole geohazard map involved summing the weighted values for each hazard element, which permits the construction of geohazard model; the results of the analysis were validated using the previous actual sinkholes locations in the study area. The spatial distribution of sinkholes occurrence, urban development, faults distribution and ex-mining ponds are factors that are directly responsible for all sinkholes subsidence hazards. Further, the resulting geo-hazard map shows that 93% of recent sinkholes occur in areas where the model flags as “high” and “very high” potential hazard, located in the urbanized part of the valley, while less-developed areas to the west and southwest suffered less sinkhole development. The results can be used for hazard prevention and land-use planning. ?
机译：Kinta山谷是马来西亚半岛西北部的喀斯特地区。 30多年来，土地的不受控制的使用和开发导致地形和地貌的重大变化，例如坑洼的出现。在本文中，地理空间技术被用于使用空间多标准评估方法（SMCE）来评估沉陷敏感性图的任务。应用污水池位置和空间数据库来计算石灰石不稳定性的八个内在原因，即：岩性，结构（质素），土壤覆盖率，坡度，土地利用开采，市区特征，池塘和河流。污水坑地质灾害图的准备工作涉及对每个灾害要素的加权值求和，从而可以建立地质灾害模型;分析结果已使用研究区域中以前的实际污水坑位置进行了验证。塌陷发生的空间分布，城市发展，断层分布和排雷池是直接导致所有塌陷沉陷危险的因素。此外，最终的地质灾害图表明，最近的污水坑有93％发生在模型标记为“高”和“非常高”潜在危害的区域中，该区域位于山谷的城市化部分，而欠发达地区则为西部和西南部的下陷发展较少。结果可用于危险预防和土地利用规划。 ？

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