Comparison of two methods for ground level vapour sampling and influence of meteorological parameters on its stable isotopic composition at Roorkee, India. Issue 3 (4th December 2012)

• Record Type: Journal Article
• Authors: Purushothaman, P.; Rao, M. S.; Kumar, B.; Rawat, Y. S.; Krishan, G.; Devi, Pooja
• Is Part Of: Hydrological processes. Volume 28:Issue 3(2014:Jan.)
• Page Start: 882
• Page End: 894
• Publication Date: 2012-12-04
• Subjects: Hydrology -- Periodicals; Hydrology -- Research -- Periodicals; Hydrologic models -- Periodicals; Hydrological forecasting -- Periodicals; 631.432
• DOI: 10.1002/hyp.9623
• Languages: English
• ISSNs: 0885-6087

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>Ground level vapour (GLV) samples were collected at Roorkee, Uttarakhand, India using two methods: liquid condensation (LC) at 0 °C and cryogenic trap (CT) at −78 °C for the period 2009–2011. The study reveals that there is a considerable fluctuation in stable isotopic composition of GLV throughout the year. The study area receives complex moisture source during different seasons, which is evident from the moisture flux received during different seasons. The isotopic composition of the GLV in both methods shows depleted nature during rainout process. CT method shows exact isotopic signature of GLV because of maximum trapping of air moisture and its condensation, whereas LC method shows depleted or enriched character because of the prevalence of kinetic and diffusive fractionation. The <italic>d</italic> value shows that LC method acts as magnifier of the CT method and clearly shows seasonal effect than the clustered CT method. Hence, to decipher the original isotopic signature of GLV, isotopic composition of GLV<sub>LC</sub> can be converted to GLV<sub>CT</sub> by deriving an empirical relationship with changing season and locations.</p> <p>Meteorological parameters show varied behaviour with GLV<sub>CT and LC</sub> because of moisture sources in all seasons. The GLV<sub>CT and LC</sub> method shows significant correlation with meteorological parameters when the region is dominated by single moisture source. The GLV<sub>LC</sub> method magnifies the correlation with meteorological parameters when the region is influenced by more than one source. The study shows that the GLV<sub>LC</sub> methods can be used in place of GLV<sub>CT</sub> when the objective is to understand the influence of different moisture sources on GLV. Copyright © 2012 John Wiley & Sons, Ltd.</p> </abstract>