首页> 外文期刊>Proceedings of the National Academy of Sciences, India, Section A. Physical Sciences >Flood Mapping Tools for Disaster Preparedness and Emergency Response Using Satellite Data and Hydrodynamic Models: A Case Study of Bagmathi Basin, India
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Flood Mapping Tools for Disaster Preparedness and Emergency Response Using Satellite Data and Hydrodynamic Models: A Case Study of Bagmathi Basin, India

机译:洪水灾害防范和映射工具使用卫星数据和应急响应Bagmathi的水动力模型:一个案例研究盆地、印度

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abstract_textpNorthern Bihar is one of the major flood prone region in India affecting thousands of human lives and livelihoods during the recurrent floods occurring due to the monsoonal rains. While it is impossible to prevent the occurrence of extreme flood events, disaster planning can help in mitigating its detrimental effects. Monitoring flood extent using satellite observations just after the flood disasters is a core component of rapid emergency response process, which enables the emergency rescue teams to prioritize their efforts in critical areas to save lives and protect health, in addition to providing near real-time flooding information to the decision makers and planners. The main objective of this study is to demonstrate the utility of less data intensive, but equally robust hydrodynamic models to develop flood extent maps in conjunction with freely available remote sensing imageries at different scales. MODIS TERRA satellite data was used to map flood extent from 2001 to 2016 for entire Bihar. Two hydraulic models namely FLDPLN and RRI applied for the Bagmathi basin to evaluate our objectives. Both these models are of varying complexity but generate flood extent patterns with minimum amount of input data. The proposed approach is suited for mapping flood extents to provide an input information in near real time (h) when there is no availability to detailed hydraulic models and satellite datasets. Flood inundation extents from FLDPLN and RRI models were validated with Landsat-7 and MODIS TERRA derived flood extents for model performance. The results show acceptable spatial agreement between model predicted and Landsat-7 observed flood extents, denoting the utility of these tools for flood mapping application in data scarce environments./p/abstract_text
机译:在印度的一个主要洪水易发地区影响成千上万人的生命在周期性洪水发生的生计由于季风降雨。不可能避免极端的发生洪水事件、灾难计划可以帮助减轻其不利影响。使用卫星观测只是洪水程度洪水灾害后的核心组件快速应急反应过程,使应急救援队伍优先考虑他们在关键领域的努力拯救生命保护健康,除了提供附近实时洪水信息来决定制造商和规划师。研究证明减少数据的实用程序密集,但同样健壮的水动力模型开发洪水地图结合程度免费提供遥感意象不同的尺度。用于地图洪水程度从2001年到2016年整个比哈尔邦。和RRI申请Bagmathi盆地评估我们的目标。不同复杂性而产生洪水程度模式与最少的输入数据。建议的方法是适合映射区段在附近提供一个输入的信息实时(h)当没有可用性详细的水力模型和卫星数据集。洪水淹没范围从FLDPLN和RRI模型验证美国landsat和MODISTERRA派生模型洪水区段的性能。模型预测和美国landsat之间的协议观察到洪水区段,表示的效用这些工具对于洪水映射应用数据稀缺的环境。;/ p & / abstract_text

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