Evaluating the performance of MIKE NAM model on rainfall–runoff in lower Gangetic floodplain, West Bengal, India

Ghosh, Arnab; Roy, Malabika Biswas; Roy, Pankaj Kumar

doi:10.1007/s40808-021-01347-6

Cited by 19 publications

(8 citation statements)

References 81 publications

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“…In the research, the deterministic, lumped and conceptual rainfall‐runoff model MIKE NAM, initially proposed by Nielsen and Hansen (1973) and currently forming part of the Danish Hydraulic Institute (DHI) hydrodynamic platform, was used for the simulation of the basins' discharges. The model describes, in a simplified quantitative form, the behaviour of the land phase of the hydrological cycle (DHI, 2017), with its applicability to be thoroughly assessed in the literature (e.g., Doulgeris et al, 2011; Ghosh et al, 2022; Hafezparast et al, 2013; Refsgaard & Knudsen, 1996; Tehrani et al, 2021). MIKE NAM is based on four interrelated storage (reservoirs) elements, with each storage representing at catchment scale the (i) snow storage, (ii) surface storage, (iii) lower or root zone storage, and (iv) groundwater storage respectively (DHI, 2022).…”

Section: Methodsmentioning

confidence: 99%

Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models

Skoulikaris,

Piliouras

2023

Hydrological Processes

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The established watershed's hydrologic simulation process, involving the calibration and validation of a model through spatiotemporal streamflow observations, has recently been adapted to encompass ungauged watersheds. The research introduces a methodology for simulating ungauged hydrosystems, suggesting the calibration and validation of regional rainfall‐runoff models using large‐scale hydrological models (LSMs) in the absence of in situ streamflow measurements. For doing so, LSM's 30‐years simulated discharges at various basins and subbasins of the case study River Basin District are assessed for their accuracy against the limited available observations. Subsequently, the rectified time series tunes the optimal parametrization of a regional lumped hydrologic model that is triggered by precipitation and temperature data from a partially dense meteorological network. The validated regional model is then applied in selective ungauged neighbouring subbasins employing the regionalization concept used in LSMs, that is in basins with similar physiographic characteristics to those where the regional model was set up. The performance of the research is assessed using statistical metrics. In cases where observations are available, the results show very satisfactory indexes (e.g., coefficient of determination: 0.654 < R2 < 0.949, Kling‐Gupta efficiency: 0.759 < KGE <0.790, Nash–Sutcliffe efficiency: 0.649 < NSE <0.745 for all the cases). In completely ungauged basins and in an order of magnitude index, the comparison of the simulated discharges with those from the LSM also indicates the satisfactory performance of the proposed approach. To sum up, the methodology underscores the alternate use of large and regional scale hydrological modelling coupling as an asset across various basin scales globally, offering reliable water quantity information.

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Section: Methodsmentioning

confidence: 99%

Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models

Skoulikaris,

Piliouras

2023

Hydrological Processes

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“…In the study of (Aredo et al, 2021), the rainfall-runoff modeling was carried out using MIKE 11 NAM model at the Shaya catchment in Ethiopia, and the results revealed that there is a very good agreement between the observed and computed runoff [18]. Also, (Ghosh et al, 2022) use the MIKE NAM model in the MIKE HYDRO RIVER environment to integrate rainfall-runoff analysis with the hydrodynamic condition through the food region encompassing the Bhagirathi-Hooghly River, and the calibrated result creates a fairly good relationship with the simulated data [19]. And (Shamsudin and Hashim 2022) used MIKE11 NAM model for the estimation of rainfall runoff in Layang river; the reliability of MIKE11 NAM was evaluated based on the Efficiency Index (EI) and Root Mean Square Error (RMSE).…”

Section: Introductionmentioning

confidence: 95%

“…The comparison between the results was made by using root mean square error (RMSE), which is defined as Eq. ( 1) [19]:…”

Section: Fig 2 Structure Of Model Mike Nammentioning

confidence: 99%

Evaluating performance of MIKE 11 NAM model for runoff modeling on upper basin of Orontes River in Syria

Slieman

Козлов

2023

E3S Web of Conf.

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This study aims to evaluate the performance of MIKE 11 NAM model for runoff modeling in case of lack of data as a case study on the upper basin of the Orontes River in Syria. In this study, MIKE 11 NAM was relied on as one of the most important hydrological analysis and modeling models. At first, the data used was processed, and the gaps in the time series were filled; then, the data was entered into the model, and the trial-and-error method was used to adopt the model parameters that give the best results. By comparing the results with the measured real values of the flow, it was found that there are large errors and unreliability of the model, which is due to the lack and unreliability of the available data, and this is consistent with the results of other studies conducted in similar cases using the same model. Therefore, this study recommends expanding the possibility of using Mike's model and other models for hydrological analysis and modeling, especially in case of lack of data, because of this great importance in the preparation of hydrological studies, water balance studies, and sustainable development of water resources in the studied area.

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“…In the realm of evaluating the water potential and load-bearing capacity of rivers, numerous studies have been conducted employing diverse models, ranging from basic mathematical models coupled with quantitative descriptive analysis techniques [3] to comprehensive models that incorporate rainfall-flow analysis and hydrodynamic conditions, such as MIKE and QUAL2E [4][5][6][7][8][9][10][11][12][13][14][15]. In the case of salinized rivers, the prevalence of tidal influence and the influx of water from upstream contribute to the formation of water borders.…”

Section: Research Overviewmentioning

confidence: 99%

Assessing the water potential and wastewater load capacity of the La Tinh River, Binh Dinh province by MIKE 11AD and Ecolab model combined with GIS method

Hai Au,

Thi Tinh Au

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The study used the NAM model of flow simulation with a time series of 14 years (2008 - 2021), statistical analysis method, and MIKE 11 AD water quality model, and Ecolab combined with GIS method to calculate wastewater reception capacity and load capacity of the basin. The model validation is highly reliable with a model efficiency factor of R2 of 0.777 and BIAS = 5%. The results of the application of the NAM model have determined the daily flow series of 14 years (2008 - 2021) and the average flow characteristics of many years of the La Tinh basin such as Qo flow is about 5.9; 6.0 m3/s, total amount of Wo = 292.1; 188.8 million m3 flow modulus Mo = 19.3 l/s-km2 flow class Yo = 611 mm and flow coefficient α= 0.3 for all sub-basins. The results of the study show that the capacity of receiving wastewater, the capacity of most river sections in the La Tinh basin is still received with five parameters at a relatively high level, the section of the Binh Tri river upstream alone has exceeded its capacity to receive. This is one of the very useful tools in integrated management and effective use management of river basin water resources.

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Evaluating the performance of MIKE NAM model on rainfall–runoff in lower Gangetic floodplain, West Bengal, India

Cited by 19 publications

References 81 publications

Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models

Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models

Evaluating performance of MIKE 11 NAM model for runoff modeling on upper basin of Orontes River in Syria

Assessing the water potential and wastewater load capacity of the La Tinh River, Binh Dinh province by MIKE 11AD and Ecolab model combined with GIS method

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