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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Gravimetric analysis is a quantitative method where the analyte is isolated and weighed directly or after conversion into a substance of known composition. Gravimetric analysis can be classified as precipitation, electrogravimetry, volatilization, and particulate gravimetry, based on the method used to isolate the analyte.
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分析Joshimath的沉没:原因,后果和远程传感技术的未来前景.

Shubham Awasthi1, Kamal Jain2,3, Sashikanta Sahoo2

  • 1Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India. sawasthi@dm.iitr.ac.in.

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概括

乔希马斯的土地变形在2022-2023年显著增加,在西北地区沉降最大. 失控的人类活动和不良排水被确定为主要原因.

关键词:
在喜马拉雅山脉,乔希马斯的乔希马斯是什么意思土地变形 土地变形遥感是一种远程传感.沉没情况 沉没情况

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科学领域:

  • 地质科学和遥感技术
  • 自然危险监测 监测自然危险
  • 地球表面动力学 地球表面动力学

背景情况:

  • 喜马拉雅山脉容易发生自然灾害,包括土地变形,地震和山体滑坡等.
  • 乔希马特镇最近经历了严重的土地沉降,对基础设施造成广泛破坏,并对居民构成风险.

研究的目的:

  • 用先进的遥感技术监测和分析Joshimath地区的土地变形.
  • 确定导致观察到的土地沉降的主要致病因素.
  • 为脆弱的喜马拉雅地区的未来发展政策提供建议.

主要方法:

  • 利用持久散射器合成孔径雷达干扰测量 (PSInSAR) 与多时间的哨兵-1数据集来计算土地变形速度 (2022-2023).
  • 通过使用高分辨率行星数据集进行特征跟踪和土地移位分析.
  • 使用无人机 (UAV) 数据集评估关键区域的地面条件.

主要成果:

  • 在Joshimath (2022-2023) 的土地变形速度从-89.326到+94.46毫米/年不等,在西北部分观察到的最高速度.
  • 最大的土地沉降发生在Singhdwar周围 (+60.45到+94.46毫米/年),而其他地区显示中等至高沉降或局部扩张.
  • 与之前的时期 (2016-2017,2018-2019,2020-2021) 相比,2022-2023年土地变形明显增加.

结论:

  • 乔希马斯的土地变形主要是由不受控制的人为活动,基础设施发展和不充分的排水系统推动的.
  • 调查结果强调,迫切需要修订发展政策,以减轻易受影响的喜马拉雅地区的风险.
  • 综合遥感和无人机评估对于理解和管理土地变形危险至关重要.