Cloudburst Events in the Indian Himalayas: A Historical Geospatial Perspective

Singh, Hemant; Varade, Divyesh; Mishra, P. K.

doi:10.1007/978-981-16-8800-3_192-1

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Such assessments are not only essential for effective water resource management but also play a crucial role in informing disaster mitigation and adaptation strategies (Handmer and Dovers, 2013). Furthermore, the increasing global temperatures contribute to the intensi cation of extreme weather events (Singh et al, 2022), such as heatwaves (Maurya et al, 2024) and prolonged periods of high temperatures. These temperaturerelated challenges further emphasize the complex nature of the environmental changes that societies and ecosystems are currently facing (Ludwig et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Investigation of Climate Extremes in Jabalpur District of Madhya Pradesh: Trends and Future Implications

Thakur,

Gururani,

Agrawal

et al. 2024

Preprint

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Climate change is a long-term change in hydro-meteorological conditions in a particular geographical region. In the present study, spatio-temporal long-term change in rainfall during 1961–2020 was analyzed using IMD 0.25°×0.25° resolution gridded dataset in the Jabalpur district. The non-parametric Mann–Kendall trend test and Sen’s slope estimator was applied to determine the trend and its magnitude, respectively in the precipitation time series. Extreme indices were employed to understand the risks and vulnerabilities associated with extreme weather events in the district. Mann-Kendall trend test showed an insignificant trend at 95% confidence interval with Sen’s slope value of -2.98 to 0.73 mm/year. CLIMPACT tool was used to study extreme indices and it revealed that, in the district, CDD, CWD, R10, R20, and RX5 were decreasing, whereas RX1 and SDII were found increasing. The study’s outcomes provide valuable inferences for future water resource planning and management in central India, particularly in Jabalpur district.

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Section: Introductionmentioning

confidence: 99%

Investigation of Climate Extremes in Jabalpur District of Madhya Pradesh: Trends and Future Implications

Thakur,

Gururani,

Agrawal

et al. 2024

Preprint

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“…Natural hazards such as landslides and earthquakes are very powerful and potent physical processes that lead to land deformation. Another factor influencing land deformation is the impact of climate change, as floods [5], several extreme rainfall events which have increased since the past decade [20,21], which have critically increased soil erosion, often leading to subsidence, triggering landslides, and sometimes liquefaction [22]. The continuous deforestation and conversion of forest lands into agricultural fields results in groundwater level depletion as forests retain soil moisture, hence maintaining the groundwater levels by retaining the soil moisture [23,24].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Land Deformation and the Associated Causes along a Rapidly Developing Himalayan Foothill Region Using Multi-Temporal Sentinel-1 SAR Datasets

Awasthi

Varade

Bhattacharjee

et al. 2022

Land

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Land deformation has become a crucial threat in recent decades, caused by various natural and anthropogenic activities in the environment. The seismic land dynamics, landslides activities, heavy rainfall resulting in flood events, and subsurface aquifer shrinkage due to the excessive extraction of groundwater are among the major reasons for land deformation, which may cause serious damage to the overall land surface, civil infrastructure, underground tunnels, and pipelines, etc. This study focuses on preparing a framework for estimating land deformation and analyzing the causes associated with land deformation. A time-series SAR Interferometry-based technique called PsInSAR was used to measure land deformation, using Sentinel-1 datasets from 2015 to 2021 by estimating land deformation velocities for this region. The obtained PSInSAR deformation velocity results ranged between −4 mm to +2 mm per year. Further, land use land cover (LULC) changes in the area were analyzed as an essential indicator and probable cause of land deformation. LULC products were first generated using Landsat-8 images for two time periods (2015, 2021), which were then evaluated in accordance with the deformation analysis. The results indicated an increase in the built-up areas and agricultural cover in the region at the cost of shrinkage in the vegetated lands, which are highly correlated with the land subsidence in the region, probably due to the over-extraction of groundwater. Further, the outer region of the study area consisting of undulating terrain and steep slopes also coincides with the estimated high subsidence zones, which could be related to higher instances of landslides identified in those areas from various primary and secondary information collected. One of the causes of landslides and soil erosion in the region is identified to be high-level precipitation events that loosen the surface soil that flows through the steep slopes. Furthermore, the study region lying in a high seismic zone with characteristic unstable slopes are more susceptible to land deformation due to high seismic activities. The approach developed in the study could be an useful tool for constant monitoring and estimation of land deformation and analysis of the associated causes which can be easily applied to any other region.

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Ensemble modelling of ice volume dynamics of Chhota Shigri Glacier in Himachal Pradesh from 2017 to 2022

Sinha,

Singh,

Varade

2024

Journal of Water and Climate Change

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Glaciers are the source of freshwater for many perennial rivers around the world. Out of 215,000 glaciers apart from the polar ice sheets, the Himalayas constitute about 54,000 glaciers and are often referred to as the third pole on the Earth. In recent decades, the Himalayan glaciers have been experiencing increased recession as a consequence of climate change. Subsequently, understanding the dynamics of glacier ice parameters and volume becomes significant. In this study, an ensemble model of laminar-flow-based and basal-shear-stress-based models on the Chhota Shigri Glacier was investigated to understand the dynamics of glacier ice thickness over 6 years, from 2017 to 2022. The glacier volume was determined from the ensembled ice thickness. Our results indicate that the ensemble model yields the minimum ice thickness measurement of 102 ± 17.38 m and the maximum of 112 ± 19.04 m for the years 2017 and 2019, respectively. The estimated results show a correlation of 81% with a global ice thickness dataset. The ensemble approach provides better estimates for ice thickness accounting for more parameters affecting the glacier dynamics. From 2017 to 2022, the Chhota Shigri Glacier volume has been observed to show a slightly negative trend.

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Cloudburst Events in the Indian Himalayas: A Historical Geospatial Perspective

Cited by 3 publications

References 27 publications

Investigation of Climate Extremes in Jabalpur District of Madhya Pradesh: Trends and Future Implications

Investigation of Climate Extremes in Jabalpur District of Madhya Pradesh: Trends and Future Implications

Assessment of Land Deformation and the Associated Causes along a Rapidly Developing Himalayan Foothill Region Using Multi-Temporal Sentinel-1 SAR Datasets

Ensemble modelling of ice volume dynamics of Chhota Shigri Glacier in Himachal Pradesh from 2017 to 2022

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