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Chauhan, Vishal
- Observations of Rainfall in Garhwal Himalaya, India during 2008-2013 and its Correlation with TRMM Data
Abstract Views :198 |
PDF Views:94
Authors
Affiliations
1 Wadia Institute of Himalayan Geology, 33 G.M.S. Road, Dehradun 248 001, IN
1 Wadia Institute of Himalayan Geology, 33 G.M.S. Road, Dehradun 248 001, IN
Source
Current Science, Vol 108, No 6 (2015), Pagination: 1146-1151Abstract
Rainfall variations in the Garhwal Himalaya, Uttarakhand were studied for a period of six years from 2008 to 2013. The rainfall data were obtained through a dense network of rain gauges installed by India Meteorological Department (IMD), New Delhi, are spreaded over seven districts of Uttarakhand, combined with the data from Wadia Institute of Himalayan Geology (WIHG) rain gauge located at Ghuttu, Garhwal Himalaya. The rainfall data of WIHG have a sampling interval of 15 min, while IMD provides district- wise rainfall measurements with monthly temporal resolution. Therefore, extreme events of rainfall which occurred in a short duration of time were observed using the rainfall data of WIHG. Similarly, daily diurnal variations of rainfall were also observed in these data. The seasonal variations and distribution of rainfall in different districts of the Garhwal region were seen in both WIHG and IMD datasets. An increasing trend of rainfall activity was seen from 2008 to 2013. Meterological observations suggest that the isohyet has shifted towards end-September in recent years. Two events of extreme rainfall in the Garhwal Himalaya in 2012 and 2013 caused a major loss of life and property in the region. The rain gauge of WIHG recorded heavy rainfall during both the events. In 2012, ~70 mm rainfall was recorded in 1 h and in 2013 the rain gauge data showed about 250 mm rainfall in 52 h. The daily diurnal records of rainfall show a minimum between 0700 and 1300 h local time (local time = UT + 5.30 h) and diurnal maximum between 2200 and 0300 h local time for all the years. The seasonal variation of rainfall reveals that the peak season of monsoon ranges from June to September in the Garhwal region, which contributes about 50-90% to the annual rainfall. We also compared the observed results of rain gauges with TRMM-derived rainfall data and found a good correlation ranging from 0.6 to 0.9.Keywords
Extreme Rainfall Events, Rain Gauge, Monsoon Season, Seasonal And Diurnal Variations.Full Text
- Prominent Precursory Signatures Observed in Soil and Water Radon Data at Multi-Parametric Geophysical Observatory, Ghuttu for Mw 7.8 Nepal Earthquake
Abstract Views :266 |
PDF Views:109
Authors
Naresh Kumar
1,
Vishal Chauhan
1,
S. Dhamodharan
1,
Gautam Rawat
1,
Devajit Hazarika
1,
P. K. R. Gautam
1
Affiliations
1 Wadia Institute of Himalayan Geology, 33 GMS Road, Dehradun 248 001, IN
1 Wadia Institute of Himalayan Geology, 33 GMS Road, Dehradun 248 001, IN
Source
Current Science, Vol 112, No 05 (2017), Pagination: 907-909Abstract
A devastating earthquake (M 7.8) occurred in the central part of the Nepal Himalaya on 25 April 2015 at 06:11:26.27 (UTC). USGS reported the epicentre location at 28.147°N and 84.708°E, and focal depth 15 km. The earthquake strongly hit Nepal causing over 7500 deaths and widespread destruction. A historical temple of 19th century was reduced to ruins within a few seconds.Full Text
- Multiple Linear Regression Analysis to Estimate Hydrological Effects in Soil Rn-222 at Ghuttu, Garhwal Himalaya, India: A Prerequisite to Identify Earthquake Precursors
Abstract Views :157 |
PDF Views:83
Authors
Affiliations
1 Wadia Institute of Himalayan Geology, 33 General Mahdeo Singh Road, Dehradun 248 001, IN
1 Wadia Institute of Himalayan Geology, 33 General Mahdeo Singh Road, Dehradun 248 001, IN
Source
Current Science, Vol 120, No 12 (2021), Pagination: 1905-1911Abstract
Various geophysical parameters including soil radon (222Rn) are being conTinuously monitored at Ghuttu, Garhwal Himalaya, India since 2007 as a part of earthquake precursor studies. To analyse the earthquake precursory changes in soil radon, it is essential to clean the soil radon data from other effects. For this, we used data for the period of nine years from 2011 to 2019 and assessed the relationship of soil radon with five other parameters using regression analysis. These parameters are water level, atmospheric pressure, rainfall, air temperature and soil temperature at 10 m depth. We also added one more parameter, i.e. the difference of air temperature (Tout) and soil temperature at 10 m depth (Tin). From the observed six parameters, four showed strong correlation with soil radon. These are (i) water level (correlation coefficient (CC) = –0.9), (ii) atmospheric pressure (CC = 0.6), (iii) air temperature (CC = –0.6) and (iv) temperature difference (Tout – Tin; CC = 0.5). For regression analysis, data during the period 2011–2014 were used for training, while data during 2015–2019 were used for tesTing purpose. Based on different models, the one developed using all the six input parameters suggests lowest errors and highest correlation. The observed values of ischolar_main mean square error, mean absolute error and CC were 0.332, 0.281 and 0.931 respectively. The regression coefficients obtained from this model were used to calculate the theoretical radon and residuals. By this approach, the effects of hydrological and atmospheric parameters were found to be reduced to a great extent.Keywords
Earthquake Precursors, Hydrological Effects, Linear Regression, Soil Radon.Full Text
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