The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Weidong Wang - One of the best experts on this subject based on the ideXlab platform.
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spatiotemporal assessment of Geological Hazard safety along railway engineering using a novel method a case study of the sichuan tibet railway china
Workshop on World Landslide Forum, 2020Co-Authors: Weidong WangAbstract:The Sichuan-Tibet Railway in China is the significance for the long-term development of “The Belt and Road”. However, railway engineering reshapes the landscape it passes through and consequently influences the Geological Hazard safety. Because of a paucity of previous studies involving this factor, in the present paper, we make a novel development in our previous study that a novel index system, notably from the spatiotemporal aspect. Meanwhile, the effect of railway construction is proposed for Geological Hazard assessment. Different from regional or site assessment, the concept of the line element is introduced, and the Geological Hazard safety along Sichuan-Tibet Railway is comprehensively evaluated using matter-element extension model (MEEM), gray correlation model (GCM), and support vector machine (SVM). Meanwhile, the receiver operating characteristic curve (ROC) analysis demonstrates that the method performs better than the method without considering the construction factor or temporal factor. The finding highlights that the construction factor and temporal factor play an essential role in the assessment of Geological Hazard safety along the railway.
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comprehensive assessment of Geological Hazard safety along railway engineering using a novel method a case study of the sichuan tibet railway china
Geomatics Natural Hazards and Risk, 2020Co-Authors: Weidong Wang, Zheng HanAbstract:The Sichuan-Tibet Railway (STR) in China is of profound significance for Tibet's long-term development. Construction of railway reshapes the landscape it passes through and consequently influences ...
Zheng Han - One of the best experts on this subject based on the ideXlab platform.
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comprehensive assessment of Geological Hazard safety along railway engineering using a novel method a case study of the sichuan tibet railway china
Geomatics Natural Hazards and Risk, 2020Co-Authors: Weidong Wang, Zheng HanAbstract:The Sichuan-Tibet Railway (STR) in China is of profound significance for Tibet's long-term development. Construction of railway reshapes the landscape it passes through and consequently influences ...
R G Forero - One of the best experts on this subject based on the ideXlab platform.
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airborne sar and landsat mss as complementary information source for Geological Hazard mapping
Isprs Journal of Photogrammetry and Remote Sensing, 1993Co-Authors: B N Koopmans, R G ForeroAbstract:Abstract A comparative study has been made of the usefulness of Landsat and airborne radar images. The study area is situated in the Middle Magdalena Valley of Colombia. It consists of a folded sedimentary sequence of Upper Cretaceous to Lower Tertiary rocks, partially covered by extensive volcanic lahar and alluvial fan material. To obtain the full benefit of the spectral information from Landsat and the textual and pattern information from radar, a combined image was produced using the hue and saturation information from Landsat data and the intensity values from radar data. A clear differentiation between old lahar deposits and the recent one caused by the Nevada del Ruiz eruption of 1985 was possible on SAR images. The synergistic radar imagery, particularly used in stereo, is very useful for prediction of future lahar routes and volcanic risk evaluation.
Kuan Cheng - One of the best experts on this subject based on the ideXlab platform.
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spatiotemporal evolution of tropical forest degradation and its impact on ecological sensitivity a case study in jinghong xishuangbanna china
Science of The Total Environment, 2020Co-Authors: Ying Wang, Yi Lin, Zhenwei Peng, Kuan ChengAbstract:Abstract Due to rapid urbanization and a growing population, the tropical forest in southwestern China has experienced a dramatic shrinkage, which threatens its biodiversity and imposes limitations to sustainable development. Spatiotemporal change analysis and ecological sensitivity assessment are the important prerequisites for investigating the relationship between eco-environmental quality and human activities. In this study, the tropical forest and other land cover types in Jinghong, China were firstly classified by a machine learning classification algorithm (support vector machine, SVM) with 7 pairs of remote sensing (RS) data (from 1989 to 2018). Then the spatiotemporal change patterns were analyzed. The ecological sensitivity was evaluated based on an index system method (ISM) in which a weighted combination of eleven indicators were produced using an analytic hierarchy process (AHP) method and GIS. Meanwhile four individual sensitivity indicators, including biodiversity sensitivity (BS), water resources sensitivity (WRS), Geological Hazard sensitivity (GHS) and soil erosion sensitivity (SES) were assessed respectively to create a multi-perspective understanding of the entire ecological sensitivity. The results suggest that the tropical forest experienced a continual decrease from 5631.78 km2 in 1999 to 4216.23 km2 in 2018 with an average change rate of −1.49%. The decreased area was mainly encroached on by human settlements and agriculture, particularly in the south of Jinghong. Furthermore, it could be seen that urbanization is the key driver for the changes to ecological sensitivity with both positive and negative impacts. In Jinghong, the region covered by a tropical forest has a relatively higher comprehensive ecological sensitivity (CES) than that of an urban area. This work shows RS and GIS to be powerful tools providing profound insights to researchers with regard to the spatiotemporal evolution of tropical forests and ecological sensitivity. The results are significant for improving policies in order to keep a sustainable balance in regional ecosystem management.
Liqun Kuang - One of the best experts on this subject based on the ideXlab platform.
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design and implementation of Geological Hazard forecast system based on webgis
Computational Intelligence, 2009Co-Authors: Fengguang Xiong, Xie Han, Liqun KuangAbstract:In this paper, by analyzing the Geological structure in China and WebGIS technology, we design and implement a Geological Hazard forecast system based on WebGIS which can help us to reduce damage. The system is a three-tier structure, which is flexible and easily expanded. Distributed modulus is designed in the system, which helps us to integrate various heterogeneous data sources. The core of system is a mathematical model for Geological Hazard pre-warning. Using mathematical model, WebGIS technology of Google Maps, database technology and network technology, a distributed software system is built up, which integrates the functions of geographic information system and Geological Hazard forecast system. The experimental results show that the system is effective and useful.