Hydrometeorological analysis of July-2023 floods in Himachal Pradesh, India

Gupta, Vivek; Syed, Bilal; Pathania, Ashish; Raaj, Saran; Nanda, Aliva; Awasthi, Shubham; Shukla, Dericks P.

doi:10.1007/s11069-024-06520-5

Cited by 4 publications

(2 citation statements)

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“…The maximum and minimum temperatures range from − 2.9 to 37 °C 69 . The town of Joshimath receives an average precipitation of 76.88 mm annually, with 132.27 rainy days, which is 36.24% of the total year (Source: IMD) 7 , 70 .…”

Section: Study Areamentioning

confidence: 99%

“…The development of large infrastructural projects contributes to deforestation and slope destabilization, increasing the likelihood of landslides. Also, the continuous construction activities can lead to soil compaction and other changes in the ground, ultimately resulting in land deformation 7 , 8 . In summary, the land deformation in the Himalayas can be attributed to various factors, such as tectonic activity, earthquakes, landslides, deforestation, civil construction, and large infrastructural projects 9 , 10 .…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Joshimath’s sinking: causes, consequences, and future prospects with remote sensing techniques

Awasthi,

Jain,

Sahoo

et al. 2024

Sci Rep

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The Himalayas are highly susceptible to various natural disasters, such as the tectonically induced land deformation, earthquakes, landslides, and extreme climatic events. Recently, the Joshimath town witnessed a significantly large land subsidence activity. The phenomenon resulted in the development of large cracks in roads and in over 868 civil structures, posing a significant risk to inhabitants and infrastructure of the area. This study uses a time-series synthetic aperture radar (SAR) interferometry-based PSInSAR approach to monitor land deformation utilizing multi-temporal Sentinel-1 datasets. The line of sight (LOS) land deformation velocity for the Joshimath region, calculated for the year 2022–2023 using a PSInSAR-based approach, varies from − 89.326 to + 94.46 mm/year. The + ve sign indicates the LOS velocity/displacement away from the SAR sensor, whereas − ve sign signifies the earth's movement towards the SAR sensor in the direction of LOS. In addition, the study investigates feature tracking land displacement analysis using multi-temporal high-resolution Planet datasets. The result of this analysis is consistent with the PSInSAR results. The study also estimated the land deformation for the periods 2016–2017, 2018–2019, and 2020–2021 separately. Our results show that the Joshimath region experienced the highest land deformation during the year 2022–2023. During this period, the maximum land subsidence was observed in the north-western part of the town. The maximum LOS land deformation velocity + 60.45 mm/year to + 94.46 mm/year (2022–2023), occurred around Singhdwar, whereas the north and central region of the Joshimath town experienced moderate to high subsidence of the order of + 10.45 mm/year to + 60.45 mm/year (2022–2023), whereas the south-west part experienced an expansion of the order of 84.65 mm/year to − 13.13 mm/year (2022–2023). Towards the south-east, the town experienced rapid land subsidence, − 13.13 mm/year to − 5 mm/year (2022–2023). The study analyzes the causative factors of the observed land deformation in the region. Furthermore, this work assesses the ground conditions of the Joshimath region using UAV datasets acquired in the most critically affected areas such as Singhdhaar, Hotel Mountain View, Malhari Hotel, and Manoharbagh. Finally, the study provides recommendations and future prospects for the development policies that need to be adopted in the critical Himalayan regions susceptible to land deformation. The study suggests that land deformation in the region is primarily attributed to uncontrolled anthropogenic activities, infrastructural development, along with inadequate drainage systems.

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Section: Study Areamentioning

confidence: 99%