Evaluation of precipitation elasticity using precipitation data from ground and satellite-based estimates and watershed modeling in Western Nepal

Talchabhadel, Rocky; Aryal, Anil; Kawaike, Kenji; Yamanoi, Kazuki; Nakagawa, Hajime; Bhatta, Binod; Karki, Saroj; Thapa, Bhesh Raj

doi:10.1016/j.ejrh.2020.100768

Cited by 33 publications

(16 citation statements)

References 58 publications

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“…After then, systematic biases can be reduced. There are many studies (Aghakouchak et al., 2011; Almazroui, 2011; Hong et al., 2007; Mahbod et al., 2019; Pakoksung & Takagi, 2016; Pombo & de Oliveira, 2015; Talchabhadel, Aryal, Kawaike, Yamanoi, Nakagawa, Bhatta, et al., 2021; Tarek et al., 2017; Yoshimoto & Amarnath, 2017) dealing with error evaluation of SREs and their applications but most of these studies are carried out on a daily, monthly, seasonal or annual scale. Here, we tried to assess the potential of using SREs during an extreme precipitation event.…”

Section: Introductionmentioning

confidence: 99%

Appraising the Potential of Using Satellite‐Based Rainfall Estimates for Evaluating Extreme Precipitation: A Case Study of August 2014 Event Across the West Rapti River Basin, Nepal

Talchabhadel

Nakagawa

Kawaike

et al. 2021

Earth and Space Science

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 We set up a rainfall-runoff model using hourly rainfall data and validated it against the hourly water level for the West Rapti River Basin, Nepal. We evaluated the performance of different satellite-based rainfall estimates in capturing an extreme precipitation event. We corrected poor-performed products with respect to gauge data and filled gauge data gaps using the information of other well-performed products.

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Section: Introductionmentioning

confidence: 99%

Appraising the Potential of Using Satellite‐Based Rainfall Estimates for Evaluating Extreme Precipitation: A Case Study of August 2014 Event Across the West Rapti River Basin, Nepal

Talchabhadel

Nakagawa

Kawaike

et al. 2021

Earth and Space Science

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“…New technologies and practices have been developed to monitor the spatio-temporal variability of rainfall patterns at a higher resolution. Satellite-based rainfall estimation (Talchabhadel et al, 2021) and use of the citizen science approach (Davids et al 2018;Davids et al 2019) in rainfall measurement can be an alternative way to ll the spatial gaps and to cover the spatial heterogeneity. However, evaluation of the performance of satellite-based rainfall estimates is vital and these products can be blended with the rainfall data from rain gauges to improve the overall accuracy.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Less rain and rainy days—lessons from 45 years of rainfall data (1971–2015) in the Kathmandu Valley, Nepal

Prajapati

Talchabhadel

Silwal

et al. 2021

Theor Appl Climatol

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Understanding spatio-temporal variability in rainfall patterns is crucial for evaluating water balances needed for water resources planning and management. This paper investigates spatio-temporal variability in rainfall and assesses the frequency of daily rainfall observations from seven stations in the Kathmandu Valley, Nepal, from 1971-2015. Daily rainfall totals were classi ed into ve classes, namely, A (light rain, daily rainfall < 10 mm in a day), B (between 10-50 mm), C (between 50-100 mm), D (between 100-150 mm) and E (> 150 mm). The relationship between daily rainfall and rainfall frequency of various rainfall rate classes were analysed. Kriging method was used for interpolation in interpreting seasonal and annual rainfall data and spatial maps were generated using QGIS. The Mann-Kendall (MK) test was performed to determine the temporal trends and Theil-Sen's (TS) slope estimator was used in quantifying the magnitude of trends. Mountain stations showed a decreasing trend in rainfall for all seasons, ranging from − 8.4 mm/year at Sankhu to -21.8 mm/year at Thankot, whereas, a mixed pattern was found on the Valley oor. Mean annual rainfall in the Valley was 1610 mm. Both annual rainfall and the number of rainy days decreased in the Kathmandu Valley over the study period. The study indicated a signi cant reduction in rainfall after 2000. Since springs and shallow groundwater are the primary sources of water supply for residents in the Kathmandu Valley, it is apparent that decreasing rainfall will have (and is already having) an adverse impact on domestic, industrial, and agricultural water supplies, and the livelihoods of people.

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“…Twenty-one parameters were selected for sensitivity analysis based on the review of the previous studies conducted in the mountainous region of Nepal (Devkota & Gyawali, 2015;Dhami et al, 2018;Mishra et al, 2018;Pokhrel, 2018;S. Shrestha et al, 2018;Talchabhadel et al, 2021). After sensitivity analysis, the model was calibrated and validated using the most sensitive parameters.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

“…It has been widely used in different watersheds across Nepal to simulate basin hydrology, land-use change, climate change impacts, etc. (Pandey et al, 2019(Pandey et al, , 2020Pokhrel, 2018;Talchabhadel et al, 2021). SWAT integrated with GIS have also been used across the various watershed for the identification of hydropower potential sites and estimation of basin potential (Ali et al, 2020;Guiamel & Lee, 2020;Kusre et al, 2010;Pandey et al, 2015;Sammartano et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Effects of source digital elevation models in assessment of gross runoff-river hydropower potential: A case study of West Rapti Basin, Nepal

Bista

Singh

Kayastha

et al. 2021

J. Eng. Iss. Solut.

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Advancements in Geographical Information System (GIS), Remote Sensing (RS) technology, hydrologic modeling and availability of wider coverage hydrometeorological data have facilitated the use of GIS and hydrological modelling tools in studies related to hydropower potential. Digital Elevation Model (DEM) is the primary data required for these tools. They have become more accessible and many are freely available. These DEMs have different resolution and their errors vary due to their primary data acquisition techniques and processing methods. However, their effects on the hydropower potential assessment are less investigated. This study evaluates the effects of 6 freely available DEMs: ALOS 12.5 m, SRTM 90 m, SRTM 30 m, ASTER G-DEM version-3 30 m, AW3D 30 m and Cartosat-1 version-3 30 m on the Gross Run-off-River Hydropower Potential (GRHP) assessment, using GIS and hydrological modelling tools. West Rapti River (WRR) basin in Nepal was chosen for the case study. Soil and Water Tool (SWAT) hydrological model, coupled with GIS was used to discretize the WRR basin into several sub-basins/streams. Flow at the inlet and outlet of streams were estimated from the SWAT model whereas the topographic head was extracted from the DEMs. The GRHP of the streams were computed using the estimated stream flow and the topographic head for flows at 40% to 60% Probability of Exceedance (PoE). The total potential of the basin was computed by summing up the potential of all streams. The GRHP of WRR basin for flows at 40% PoE was estimated as 512 MW for ALOS 12.5 m resolution DEM, referred as a base case in this study. The GRHP estimated from the remaining DEMs showed the variation of less than 6% compared to the base case. The topographic head was found to be sensitive with respect to the DEM resolution and the highest variations were observed in the main river channels.

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Evaluation of precipitation elasticity using precipitation data from ground and satellite-based estimates and watershed modeling in Western Nepal

Cited by 33 publications

References 58 publications

Appraising the Potential of Using Satellite‐Based Rainfall Estimates for Evaluating Extreme Precipitation: A Case Study of August 2014 Event Across the West Rapti River Basin, Nepal

Appraising the Potential of Using Satellite‐Based Rainfall Estimates for Evaluating Extreme Precipitation: A Case Study of August 2014 Event Across the West Rapti River Basin, Nepal

Less rain and rainy days—lessons from 45 years of rainfall data (1971–2015) in the Kathmandu Valley, Nepal

Effects of source digital elevation models in assessment of gross runoff-river hydropower potential: A case study of West Rapti Basin, Nepal

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