Reconstruction of extreme flood events by performing integrated real-time and probabilistic flood modeling in the Periyar river basin, Southern India

Singh, Vishal; Lohani, A. K.; Jain, Sanjay K.

doi:10.1007/s11069-022-05272-4

Cited by 11 publications

(4 citation statements)

References 45 publications

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“…For hydro-meteorological datasets (e.g., precipitation, minimum and maximum temperature datasets), the Indian Meteorological Department (IMD) reanalysis version namely, IMDAA (available at 0.12.5 Â 0.12.5 scale) gridded daily time step datasets for the time periods 1986-2020 have been utilized (Ashrit et al, 2020;Singh et al, 2022). The applicability of the IMDAA reanalysis datasets have been previously evaluated in many studies across India (Ashrit et al, 2020).…”

Section: Data Usedmentioning

confidence: 99%

Glacier changes and their impacts on the melt runoff in high and moderate elevation ranges of Himalayan Upper Ganges Basin

Singh

Jain

Nagale

et al. 2023

Hydrological Processes

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The rise in temperatures over the Himalayan regions due to climate change have shown profound effects on the seasonality and long-term availability of snow melt runoff and glacier melt runoff. As per the sixth assessment report by the Intergovernmental Panel on Climate Change, the Himalayan glaciers are retreating and the fraction of precipitation falling as snow is altering. This study analyses the effect of snow-glacier changes on the melt runoff (1986-2020) over the Upper Ganga river basin (up to Rishikesh) using a fully distributed model namely, Spatial Process in Hydrology (SPHY), which governs by Temperature Index Model approach with varying degree-day factors. This study performs the two-step calibration approach for model parameterization and to evaluate the snow and glacier melt runoff utilizing the observed discharge and real time satellite datasets. The SPHY derived snow cover was compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) derived snow covers. Results show that the SPHY modelled fractional snow covers found comparable to MODIS derived snow covers ($70%-90% correlation). The R 2 based comparison of SPHY modelled runoff (Q) and observed Q at two gauges namely, Maneri ($0.85) and Rishikesh ($0.80) found reasonable. For the assessment of glacier changes and corresponding melt runoff, temporal glacier maps (i.e., for

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Section: Data Usedmentioning

confidence: 99%

Glacier changes and their impacts on the melt runoff in high and moderate elevation ranges of Himalayan Upper Ganges Basin

Singh

Jain

Nagale

et al. 2023

Hydrological Processes

Self Cite

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“…To generate a real-time simulation scheme, it is necessary to acquire recent observation data and forecast rainfall. The integrated model uses the data to predict the basin response to the predicted rainfall, and different real-time parameters are set (Singh et al, 2022;Wijayarathne et al, 2021).…”

Section: Coupling Modelmentioning

confidence: 99%

Alternating iterative coupling of hydrological and hydrodynamic models applied to Lingjiang river basin, China

Liu

Ding

Shen

et al. 2022

Preprint

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The increasing frequency of extreme-weather flood events is attributable to climate change. In addition to constructing basic water conservancy facilities, predicting the flood inundation range is important for preemptively reducing the flood risk and guiding the formulation of government policies. Conventionally, flood routing simulation based on two-dimensional hydrodynamic simulation is applied. However, the hydrological method has inherent advantages, which can be leveraged to realize information exchange. In 2019, Typhoon Lekima caused a severe flood disaster in Taizhou, China and large-scale inundation in residential areas. In this study, this event is hydrologically and hydrodynamically modeled using HEC-WAT and other HEC platform software. Loose coupling and tight coupling are conducted via different coupling methods, and the differences between the two modeling methods are compared. It is found that tight coupling utilizes the dynamic interaction mechanism of the hydrological and hydrodynamic models, which reduces the simulation error. Similarly, the flood problem in the Taizhou area is analyzed. The two-dimensional flood routing simulation results show that the flood flows in the plain areas along the bank are within the flood area, the maximum depth of inundation in the area reaches 17.0 m, and the water level reaches 11 m. The comparative simulations show that the alternating iterative coupling of hydrological and hydrodynamic can improve the accuracy of the model simulation results.

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“…A 50-year flood flow before the 20th century may have decreased to a 20 or 5-year flood (Latif & Mustafa, 2020). What's more, the pattern of flood timing within a year has become ambiguous due to early snowmelt or the increasing occurrence of extreme rainstorms (Yu et al, 2021;Singh et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Identification, physical mechanisms and impacts of drought–flood abrupt alternation: a review

et al. 2023

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Climate change has led to an increase in the frequency of extreme events, such as droughts and floods. This study aims to review the literature on the newly proposed phenomenon known as drought-flood abrupt alternation (DFAA). A comprehensive summary is provided to round up the numerous approaches employed to identify DFAA events, as well as its mechanisms and impacts. To provide a reference for responding and managing the emerging intensity and frequency of DFAA events, we conclude the paper by listing the insufficiency of current research and suggesting possible future research directions. As for the impact of DFAA, besides the loss of life and property which can be caused by any natural disaster, a DFAA event severely threatens food security by making a lasting and profound impact on the land productivity through the alteration of the combining conditions of water, soil, and temperature. As for the future research directions, existing indexes developed for DFAA identification should be improved by downscaling the temporal and spatial scale, with interactions of neighboring drought and flood events taken into consideration. What’s more, to better protect human society from the losses caused by DFAA, researches on accurate DFAA prediction are encouraged.

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Reconstruction of extreme flood events by performing integrated real-time and probabilistic flood modeling in the Periyar river basin, Southern India

Cited by 11 publications

References 45 publications

Glacier changes and their impacts on the melt runoff in high and moderate elevation ranges of Himalayan Upper Ganges Basin

Glacier changes and their impacts on the melt runoff in high and moderate elevation ranges of Himalayan Upper Ganges Basin

Alternating iterative coupling of hydrological and hydrodynamic models applied to Lingjiang river basin, China

Identification, physical mechanisms and impacts of drought–flood abrupt alternation: a review

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