Prediction of flood susceptibility in an inter-fluvial region of Northern India using machine learning algorithms DOI Creative Commons
Arijit Ghosh, Azizur Rahman Siddiqui

Natural Hazards Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India DOI
Eedy Sana,

Kritika,

Ashutosh Kumar

et al.

Landslides, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Language: Английский

Citations

1

Analyzing Joshimath’s sinking: causes, consequences, and future prospects with remote sensing techniques DOI Creative Commons
Shubham Awasthi, Kamal Jain, Sashikanta Sahoo

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 13, 2024

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

Language: Английский

Citations

6

Unveiling precipitation and its concentration over Himachal Pradesh, India DOI
Ajay Kumar, Omvir Singh

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Language: Английский

Citations

0

Multi-Frequency SAR Polarimetry and Ground Penetrating Radar for Paleochannel Identification in the Thar Desert, India DOI
Sashikanta Sahoo, Ajanta Goswami, Shubham Awasthi

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101533 - 101533

Published: April 1, 2025

Language: Английский

Citations

0

Projection of future rainfall events over the Beas River basin, Western Himalaya, using shared socioeconomic pathways (SSPs) from CMIP6 DOI Creative Commons
Chander Kant, Ray Singh Meena

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(8), P. 3536 - 3548

Published: July 5, 2024

ABSTRACT The analysis of rainfall variability has significant implications for environmental studies since it influences the agrarian economy regions such as western Himalayas. main objective this research is to identify future precipitation trends in parts Beas River basin using modeled data from three models employed Climate Model Intercomparison Project Phase 6. ACCESS, CanESM, and NorESM were utilized obtain meteorological 2015 2100 (86 years). Data global climate downscaled regional level validated with India Meteorological Department (IMD). Mention that local level. nonparametric test, modified Mann–Kendall, Sen's slope estimator (Q) detect trend magnitude. Furthermore, sub-trends series evaluated utilizing innovative (ITA) approach. Results have shown a increasing timescales, indicating more frequent extreme events under all scenarios. maximum 24.9 12.2 (Sen's slope).This study findings hold policymakers water resource managers.

Language: Английский

Citations

3

A Hydrologic Modeling Assessment of Future Water Scarcity in the Baitarani River Basin DOI
Sushree Swagatika Swain,

Ashok Mishra,

Chandranath Chatterjee

et al.

Water science and technology library, Journal Year: 2025, Volume and Issue: unknown, P. 499 - 526

Published: Jan. 1, 2025

Language: Английский

Citations

0

Forecasting groundwater resources for future sustainability: a geospatial approach in the Himalayan Beas basin DOI

U. U. Rajput,

Dericks Praise Shukla, Deepak Swami

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(4)

Published: Feb. 1, 2025

Language: Английский

Citations

0

Streamflow Reconstruction Using Multi-Taxa Tree-Ring Records from Kullu Valley, Himachal Pradesh, Western Himalaya DOI Creative Commons
Asmaul Husna, Santosh K. Shah, Nivedita Mehrotra

et al.

Quaternary, Journal Year: 2025, Volume and Issue: 8(1), P. 9 - 9

Published: Feb. 8, 2025

To study the long-term hydroclimate variability in Satluj Basin, streamflow data was reconstructed using tree-ring width datasets from multiple taxa available Kullu Valley, western (Indian) Himalaya. Five ring-width chronologies of three conifer tree (Abies pindrow, Cedrus deodara, and Pinus roxburghii) significantly correlate with during southwest monsoon season. Based on this correlation, a 228-year (1787–2014 CE) June–August average chronology. The reconstruction accounts for 34.5% total variance gauge records 1964 to 2011 CE. annual showed above-average high-flow periods 1808–1811, 1823–1827, 1833–1837, 1860–1863, 1876–1881, 1986–1992 CE below-average low-flow 1792–1798, 1817–1820, 1828–1832, 1853–1856, 1867–1870, 1944–1947, 1959–1962 Furthermore, period prominent prolonged discharge low-frequency record is indicated 1788–1807, 1999–2011, 1966–1977, 1939–1949, 1854–1864. (dry periods) observed present are coherent other hydroclimatic reconstructions carried out local (Himachal Pradesh Kashmir Himalaya) regional (Hindukush mountain range Pakistan) level. shows occurrences short (2.0–2.8 4.8–8.3 years) medium (12.5 periodicities, which signify their teleconnections large-scale climate variations such as El Niño–Southern Oscillation Pacific Decadal Oscillation.

Language: Английский

Citations

0

Assessing the impact of urbanization on flood patterns in Varanasi, India using Google Earth Engine DOI Creative Commons

Vikas Yadav,

Ashutosh Kainthola,

Gaurav Kushwaha

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)

Published: Feb. 25, 2025

Language: Английский

Citations

0

Analyzing an Extreme Rainfall Event in Himachal Pradesh, India, to Contribute to Sustainable Development DOI Open Access

Nitin Lohan,

Sushil Kumar,

Vivek Kumar Singh

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2115 - 2115

Published: Feb. 28, 2025

In the Himalayan regions of complex terrains, such as Himachal Pradesh, occurrence extreme rainfall events (EREs) has been increasing, triggering landslides and flash floods. Investigating dynamics precipitation characteristics improving prediction are crucial could play a vital role in contributing to sustainable development region. This study employs high-resolution numerical weather framework, research forecasting (WRF) model, deeply investigate an ERE which occurred between 8 July 13 2023. caused catastrophic floods Mandi Kullu districts Pradesh. The WRF model was configured with nested domains 12 km 4 horizontal grid resolutions, results were compared global products fifth-generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis dataset. selected case amplified by synoptic scale features associated position intensity monsoon trough, including mesoscale processes like orographic lifting. presence western disturbance heavy moisture transported from Arabian Sea Bay Bengal both intensified this event. effectively captured spatial distribution large-scale phenomenon, demonstrating importance modeling accurately simulating localized EREs. Statistical evaluation revealed that overestimated intensity, root mean square error reaching 17.33 mm, particularly during convective peak phase. findings shed light on value capturing EREs offer suggestions enhancing disaster management flood forecasting.

Language: Английский

Citations

0