Applicability of TOPMODEL in the Catchments of Nepal: Bagmati River Basin

Sigdel, Abinashi; Jha, Raghunath; Bhatta, Dhruba; Abou-Shanab, Reda A.I.; Sapireddy, Veer Raghavulu; Jeon, Byong‐Hun

doi:10.1080/12269328.2011.10541349

Cited by 7 publications

(11 citation statements)

References 22 publications

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“…For the process of the model validation, results generated from the calibrated parameters with higher NSE values gave efficiency values near to 0.73 and its simulated flows. The NSE values found are close to the values obtained for a proven models in Ecuador, Colombia, Poland, Nepal and China with efficiency values near to 0.7 (Sigdel et al, 2011;Padrón et al, 2015;Gil Morales and Tobón Marín, 2016;Jeziorska and Niedzielski, 2018;Xue et al, 2018).…”

supporting

confidence: 83%

“…The number of simulations varied between 10000 and 35000, since make new iterations did not improve the model performance. less water reaches the outlet via surface route (Sigdel et al, 2011). This parameter is related to subsurface flow 215 control and the deficit of local storage, which is important in the case of percolation and recharge of an aquifer (Buytaert and Beven, 2011).…”

Section: Parameter Estimationmentioning

confidence: 99%

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Hydrological Modeling in Tropical Regions via TopModel. Study Case: Central Sector of the Middle Magdalena Valley - Colombia

Arenas-Bautista¹,

Arboleda-Obando²,

Duque-Gardeazabal³

et al. 2018

Preprint

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Hydrological modeling allows us to make a comprehensive assessment of the interaction between dynamics of the hydrological cycle, climate conditions, and land use. These modeling results are relevant in water resources management field. We use TopModel (TOPography based hydrological MODEL for the hydrological 15 modeling of an area of 17 000 km 2 in the Middle Magdalena Valley (MMV), a tropical basin located in Colombia.This study is located in the intertropical convergence zone (ITCZ) which is characterized by special meteorological conditions and fast water fluxes over the year. This area has been subjected to significant land use changes, as a result of intense economic activities, e.g., agriculture, hydropower energy and oil & gas production (Avellaneda, 2003). The proposed model is based on a record of 12 years of: i.) daily precipitation data from observed gauges, ii.) 20 daily evapotranspiration data from temperature data and iii.) daily streamflow data as observed data. A calibration process was performed using data from 2000 to 2008, and a validation was performed with data from 2009 to 2012.The Nash-Sutcliffe coefficient was used as an objective function to assess the quality of these processes (values of this metric are between 0.74 and 0.73 respectively, for model calibration and validation). The results show us an adequate performance of the model in areas of the tropical region and allow us to analyze the relationship between 25 water storage capacity in the soils of the area with subsurface runoff. This conclusion is consistent with the characteristics of the region. The calibrated model provides an idea about the hydrological functioning of the basin and estimates an approximation of the groundwater recharge in the region. The estimation of the recharge is important to quantify the interaction of surface water and groundwater, especially during the dry season, due to its importance in the analysis of scenarios with climate variability. 30

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supporting

confidence: 83%

Section: Parameter Estimationmentioning

confidence: 99%

Hydrological Modeling in Tropical Regions via TopModel. Study Case: Central Sector of the Middle Magdalena Valley - Colombia

Arenas-Bautista¹,

Arboleda-Obando²,

Duque-Gardeazabal³

et al. 2018

Preprint

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“…The results may be mapped back into space using knowledge of the pattern of TWI derived from a topographic analysis (Beven 1997). Sigdel et al (2011) pointed out that the above assumptions may be valid for small and medium catchments, with shallow soils and moderate topography, which do not experience excessively long dry periods. The quasi-steadystate dynamics concept has been criticized (Barling et al 1994;Beven 1997;Peters et al 2003), and it cannot be always safely accepted (Beven 1997).…”

Section: Concept Of Topmodelmentioning

confidence: 99%

“…1). The detailed explanation of physical processes taken into account with TOPMODEL calculations can be found in Peters et al (2003), Taschner (2003), Sun and Deng (2004) and Sigdel et al (2011).…”

Section: Concept Of Topmodelmentioning

confidence: 99%

“…TOPMODEL has also been successfully utilized in the tropical climate zone in French Guiana (Molicova et al 1997) and within the same climate zone, but in its antipodes, in one of the most hydrologically responsive forested headwater catchments, in Maimai in New Zealand (Freer et al 2003). Sigdel et al (2011) applied the model to watersheds in the Bagmati River basin in Nepal. It is worth noting that many researchers focused their studies on the TOPMODEL applications in the Nepal region: Brasington and Richards (1998) applied the TOPMODEL to a small headwater catchment in the Nepal Middle Hills, Shrestha et al (2007) investigated its performance in different physiographic regions of Nepal, and Bastola et al (2008) conducted a comparative study of 26 catchments across the globe, including 4 basins in Nepal.…”

Section: Introductionmentioning

confidence: 99%

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Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland)

Jeziorska

Niedzielski

2018

Acta Geophys.

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River basins located in the Central Sudetes (SW Poland) demonstrate a high vulnerability to flooding. Four mountainous basins and the corresponding outlets have been chosen for modeling the streamflow dynamics using TOPMODEL, a physically based semi-distributed topohydrological model. The model has been calibrated using the Monte Carlo approach-with discharge, rainfall, and evapotranspiration data used to estimate the parameters. The overall performance of the model was judged by interpreting the efficiency measures. TOPMODEL was able to reproduce the main pattern of the hydrograph with acceptable accuracy for two of the investigated catchments. However, it failed to simulate the hydrological response in the remaining two catchments. The best performing data set obtained Nash-Sutcliffe efficiency of 0.78. This data set was chosen to conduct a detailed analysis aiming to estimate the optimal timespan of input data for which TOPMODEL performs best. The best fit was attained for the half-year time span. The model was validated and found to reveal good skills.

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TOPMODEL for Streamflow Simulation of a Tropical Catchment Using Different Resolutions of ASTER DEM: Optimization Through Response Surface Methodology

Suliman

Katimon

Darus

et al. 2016

Water Resour Manage

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Applicability of TOPMODEL in the Catchments of Nepal: Bagmati River Basin

Cited by 7 publications

References 22 publications

Hydrological Modeling in Tropical Regions via TopModel. Study Case: Central Sector of the Middle Magdalena Valley - Colombia

Hydrological Modeling in Tropical Regions via TopModel. Study Case: Central Sector of the Middle Magdalena Valley - Colombia

Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland)

TOPMODEL for Streamflow Simulation of a Tropical Catchment Using Different Resolutions of ASTER DEM: Optimization Through Response Surface Methodology

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