Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India

Swain, Sarat Chandra; Mishra, Surendra Kumar; Pandey, Ashish; Dayal, Deen; Srivastava, Prashant K.

doi:10.1007/s10661-022-10534-6

Cited by 19 publications

(2 citation statements)

References 74 publications

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“…In hydroclimatic investigations, the MK test is extensively employed for evaluating trends 58 – 60 . The-MK test 61 , 62 was conferred by the World-Meteorological-Organization (WMO), which has a number of benefits 63 .…”

Section: Mann–kendall (Mk) Testmentioning

confidence: 99%

Understanding flash flooding in the Himalayan Region: a case study

Nagamani,

Mishra,

Meer

et al. 2024

Sci Rep

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The Himalayan region, characterized by its substantial topographical scale and elevation, exhibits vulnerability to flash floods and landslides induced by natural and anthropogenic influences. The study focuses on the Himalayan region, emphasizing the pivotal role of geographical and atmospheric parameters in flash flood occurrences. Specifically, the investigation delves into the intricate interactions between atmospheric and surface parameters to elucidate their collective contribution to flash flooding within the Nainital region of Uttarakhand in the Himalayan terrain. Pre-flood parameters, including total aerosol optical depth, cloud cover thickness, and total precipitable water vapor, were systematically analyzed, revealing a noteworthy correlation with flash flooding event transpiring on October 17th, 18th, and 19th, 2021. Which resulted in a huge loss of life and property in the study area. Contrasting the October 2021 heavy rainfall with the time series data (2000–2021), the historical pattern indicates flash flooding predominantly during June to September. The rare occurrence of October flash flooding suggests a potential shift in the area's precipitation pattern, possibly influenced by climate change. Robust statistical analyses, specifically employing non-parametric tests including the Autocorrelation function (ACF), Mann–Kendall (MK) test, Modified Mann–Kendall, and Sen's slope (q) estimator, were applied to discern extreme precipitation characteristics from 2000 to 201. The findings revealed a general non-significant increasing trend, except for July, which exhibited a non-significant decreasing trend. Moreover, the results elucidate the application of Meteosat-8 data and remote sensing applications to analyze flash flood dynamics. Furthermore, the research extensively explores the substantial roles played by pre and post-atmospheric parameters with geographic parameters in heavy rainfall events that resulted flash flooding, presenting a comprehensive discussion. The findings describe the role of real time remote sensing and satellite and underscore the need for comprehensive approaches to tackle flash flooding, including mitigation. The study also highlights the significance of monitoring weather patterns and rainfall trends to improve disaster preparedness and minimize the impact of flash floods in the Himalayan region.

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Section: Mann–kendall (Mk) Testmentioning

confidence: 99%

Understanding flash flooding in the Himalayan Region: a case study

Nagamani,

Mishra,

Meer

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Temperature and precipitation changes are expected to trigger a series of climate extremes (Duan et al, 2021;Kodinariya and Makwana, 2013). Heatwaves and droughts have increased, and floods have become more persistent, especially in urban areas (Guptha et al, 2021(Guptha et al, , 2022Nandi and Swain, 2022;Patel et al, 2022;Sahoo et al, 2022;Swain et al, 2022aSwain et al, , 2022bSwain et al, , 2022cSwain et al, , 2022d. For example, the UK in 2021, Pakistan in 2022, and India in 2022 have experienced the most extreme heatwaves compared to records for the past 122 years (Newburger, 2022).…”

Section: Introductionmentioning

confidence: 99%