地球环境和相关灾害-地理空间方法

Q3 Materials Science
R. N. R. Neelakantan
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引用次数: 0

摘要

自然灾害已成为世界范围内迅速增长的流行病,地震、山体滑坡、洪水、旋风和其他沿海灾害等灾害已经严重影响了国家的发展和增长。近几十年来,“地球观测卫星”在各种光谱、空间和时间分辨率上产生了无与伦比的图像,而快速兴起的“地理空间技术”(GIS)在存储、操纵、建模和可视化与地球系统动力学相关的各种现象方面已经证明了它的凭据。在此背景下,本文讨论了地震、滑坡、水土流失、洪水和气旋等灾害的模式和空间变化。以地理信息学为基础的综合地形分析,可以探测到滑坡易发区域、成因、预测模型,从而建立预警系统等。洪水是另一种对国家造成更大阻碍的重大灾害,这是渴望更快发展的国家。虽然已经开发了洪水灾害区划制图的方法,但地理信息学尚未得到应有的利用。认为地理空间数据库为环境监测、全球变暖和气候变化等新兴领域的研究提供了重要的投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geoenvironment and Related Disasters - A Geospatial Approach
Natural disasters have become fast growing epidemics around the world in general, the disasters like earthquakes, landslides, floods, cyclones and other coastal hazards etc., are already crippling the development and growth of the country. In the recent decades, the “Earth Observing Satellites” which are producing unparallel pictures on various spectral, spatial and temporal resolutions, where as the fast emerging “Geospatial Technology” (GIS) has proved its credentials beyond doubt in storing, manipulating, modeling and visualizing various phenomena related to Earth System Dynamics. In this context, the present paper discusses to map the disasters like earthquakes, landslides, soil erosion, floods and cyclone on their pattern and spatial variation. The Geomatics based integrated terrain analysis, leading to the detection of landslide prone areas, causative factors, predictive models leading to the early warning system etc., Flood is yet another major disaster causing greater impediment to country, which are aspiring to grow faster. Though methodologies have been developed for flood hazard zonation mapping, the geomatics has not been utilized to its deserving levels. And concluded that the geospatial data bases which provide important inputs for studies in the emerging areas of environmental monitoring, global warming and climate change.
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来源期刊
Journal of Water and Environmental Nanotechnology
Journal of Water and Environmental Nanotechnology Materials Science-Materials Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
0
审稿时长
8 weeks
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