Towards the understanding of the flash flood through isotope approach in Kedarnath valley in June 2013, Central Himalaya, India

Ahluwalia, Rajeev Saran; P., S.; Gupta, Anil K.; Dobhal, D. P.; Tiwari, Reet Kamal; Garg, Purushottam Kumar; Kesharwani, Kapil

doi:10.1007/s11069-016-2203-6

Cited by 13 publications

(7 citation statements)

References 11 publications

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“…S1) shows only one accumulation period starting from September and peaking around January to February and one subsequent ablation period within an annual cycle. <Insert Figure 4> The results of two accumulation periods and SCA peaks within annual cycle are different from most previous studies (Jain et al, 2009;Tiwari et al, 2015;Bothale et al, 2015;Ahluwalia et al, 2016) but similar to that of a small catchment named Nuranang in eastern Himalayas (Bandyopadhyay et al, 2015), which could be possibly due to the difference in elevation, air temperature and precipitation of different catchments, or use of different datasets and the different study periods. In addition, another possible reason for the snow mass loss during winter could be snow sublimation.…”

Section: Changes In Snow Cover Area In Ugrb and Its Sub-basinscontrasting

confidence: 81%

“…Considering snow dynamics, a year can be classified into snow ablation/melt period and snow accumulation period (Meetei et al, 2020). The time period from April to September with higher air temperature is usually considered as the ablation/melt period and the time period from October to the following March with snowfall events and lower air temperatures is considered as the accumulation period in the Himalayan region, resulting in a SCA peak around March (Jain et al, 2009;Tiwari et al, 2015;Bothale et al, 2015;Ahluwalia et al, 2016). In this study, SCA in UGRB shows two distinct accumulation periods.…”

Section: Changes In Snow Cover Area In Ugrb and Its Sub-basinsmentioning

confidence: 99%

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Assessing the snow cover dynamics and its relationship with different hydro-climatic characteristics in Upper Ganges river basin and its sub-basins

Thapa

Zhang

et al. 2021

Science of The Total Environment

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Section: Changes In Snow Cover Area In Ugrb and Its Sub-basinscontrasting

confidence: 81%

Section: Changes In Snow Cover Area In Ugrb and Its Sub-basinsmentioning

confidence: 99%

Assessing the snow cover dynamics and its relationship with different hydro-climatic characteristics in Upper Ganges river basin and its sub-basins

Thapa

Zhang

et al. 2021

Science of The Total Environment

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“…Event water may enter rivers by runoff over the land surface, interflow through vadose zones, fast flows through permeable bedrock (e.g., epikarst; Perrin et al, ) or via subsurface stormflows overlying regolith‐bedrock interfaces (vadose or phreatic zones; e.g., Beven, ; Pearce et al, ; McDonnell, , , ; Freer et al, , ; Burns et al, , ; Hooper et al, ; Brown et al, ; Klaus & McDonnell, ; Dusek & Vogel, ; Cartwright & Morgenstern, ). Studies of extreme high flows show that event water can comprise the majority of major flood waters (e.g., Ahluwalia et al, ; Winston & Criss, ). Temporally, the fraction of streamflow comprised of event water tends to be higher during higher flows relative to lower flows (e.g., Cartwright & Morgenstern, ).…”

Section: Groundwater Discharges To Riversmentioning

confidence: 99%

Global Isotope Hydrogeology―Review

Jasechko

2019

Reviews of Geophysics

217

124

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Groundwater 18O/16O, 2H/1H, 13C/12C, 3H, and 14C data can help quantify molecular movements and chemical reactions governing groundwater recharge, quality, storage, flow, and discharge. Here, commonly applied approaches to isotopic data analysis are reviewed, involving groundwater recharge seasonality, recharge elevations, groundwater ages, paleoclimate conditions, and groundwater discharge. Reviewed works confirm and quantify long held tenets: (i) that recharge derives disproportionately from wet season and winter precipitation; (ii) that modern groundwaters comprise little global groundwater; (iii) that “fossil” (>12,000‐year‐old) groundwaters dominate global aquifer storage; (iv) that fossil groundwaters capture late‐Pleistocene climate conditions; (v) that surface‐borne contaminants are more common in younger groundwaters; and (vi) that groundwater discharges generate substantial streamflow. Groundwater isotope data are disproportionately common to midlatitudes and sedimentary basins equipped for irrigated agriculture, but less plentiful across high latitudes, hyperarid deserts, and equatorial rainforests. Some of these underexplored aquifer systems may be suitable targets for future field testing.

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“…They are a sudden‐release event with high peak discharges and a short response time (Douinot et al, ; Hapuarachchi, Wang, & Pagano, ) and are generally triggered by extreme precipitation, dam breaks, and glacial lake outbursts (Hapuarachchi et al, ; Marchi, Borga, Preciso, & Gaume, ). This hazard can often be accompanied by other derived hazards, such as debris flows and landslides (Ahluwalia et al, ; Cui, Guo, Yan, Li, & Ge, ), having a severe devastating impact on infrastructure and human life near rivers (Gaume, Livet, Desbordes, & Villeneuve, ). Barredo () reported that nearly 40% of flood‐related casualties in Europe during the period from 1950 to 2006 were triggered by flash floods.…”

Section: Introductionmentioning

confidence: 99%

Real‐time monitoring and estimation of the discharge of flash floods in a steep mountain catchment

Zhang

Cui

Yin

et al. 2019

Hydrological Processes

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Synchronously and accurately estimating the flood discharges and dynamic changes in the fluid density is essential for hydraulic analysis and forecasting of flash floods, as well as for risk assessment. However, such information is rare for steep mountain catchments, especially in regions that are hotspots for earthquakes. Therefore, six hydrological monitoring sites were established in the main stream and tributaries of the 78.3-km 2 Longxi River catchment, an affected region of the Wenchuan earthquake region in China. Direct real-time monitoring equipment was installed to measure the flow depths, velocities, and fluid total pressures of the flood hydrographs. On the basis of field measurements, real-time mean cross-sectional velocities during the flood hydrographs could be derived from easily obtainable parameters: crosssectional maximum velocities and the calibrated dimensionless parameter K h . Realtime discharges were determined on the basis of a noncontact method to establish the effective rating curves of this mountainous stream, ranging from 1.46 to 386.34 m 3 /s with the root mean square errors of ≤10.22 m 3 /s. Compared with the traditional point-velocity method and empirical Manning's formula, the proposed noncontact method was reliable and safe for monitoring whole flood hydrographs. Additionally, the real-time fluid density during the flood hydrographs was calculated on the basis of the direct monitoring parameters for fluid total pressures and water depths. During the flood hydrograph, transient flow behaviour with higher fluid density generally occurred downstream during the flood peak periods when the flow was in the supercritical flow regime. The observed behaviour greatly increased the threat of damage to infrastructure and human life near the river. Thus, it is important to accurately estimate flood discharge and identify for fluid densities so that people at risk from an impending flash flood are given reliable, advanced warning. K E Y W O R D S discharge estimation, flash floods, flow regime, fluid density, real-time monitoring, steep mountain catchment

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Towards the understanding of the flash flood through isotope approach in Kedarnath valley in June 2013, Central Himalaya, India

Cited by 13 publications

References 11 publications

Assessing the snow cover dynamics and its relationship with different hydro-climatic characteristics in Upper Ganges river basin and its sub-basins

Assessing the snow cover dynamics and its relationship with different hydro-climatic characteristics in Upper Ganges river basin and its sub-basins

Global Isotope Hydrogeology―Review

Real‐time monitoring and estimation of the discharge of flash floods in a steep mountain catchment

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