Regional scale hydrologic modeling for prediction of water balance, analysis of trends in streamflow and variations in streamflow: The case study of the Ganga River basin

Anand, Jatin; Gosain, A. K.; Khosa, Rakesh; Srinivasan, Raghavan

doi:10.1016/j.ejrh.2018.02.007

Cited by 75 publications

(41 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SWAT model has been structured for the entire Ganga river basin [9]. The basin has been apportioned into 1045 sub-basins and 20,628 Hydrological Response Units (HRUs) employing Digital Elevation Model (DEM) data from Shuttle Radar Topographic Mission (SRTM), land cover data from National Remote Sensing Centre (NRSC), and soil attributes dataset from the Food and Agriculture Organization (FAO) [9]. The daily reanalysis and re-gridded weather data from IMD (rainfall, temperature) has been used.…”

Section: Swat Modelmentioning

confidence: 99%

“…Various SWAT parameters that has been employed for calibration purpose, namely, Snow parameters (SMFMX, SMTMP, SMFMN, SFTMP), Elevation band parameters (PLAPS, TLAPS), and Hydrological parameters (CN2, SOL_AWC, ESCO, GW_DELAY, and GW_REVAP) [9,72,73]. The CN2 is the curve number parameter, which controls the fraction of water that infiltrates into the soil or comes as surface runoff through overland flow [72,73].…”

Section: Swat Modelmentioning

confidence: 99%

“…Hence, the computation of credible flows for the basin by employing the SWAT model has been necessary. Reservoir inflow data for each month t, I t , has been estimated from the calibrated and validated SWAT model [9]. The surface runoff simulated for the two reservoirs sub-basin for the 54-year period (1960-2013) has been derived from the SWAT model [9].…”

Section: Reservoir Inflowmentioning

confidence: 99%

“…There is increasing apprehensions regarding the requisite to formulate the balance between water demands and corresponding rivalling sectors, especially in river basins in which the majority of the water is allotted or exhausted. As a consequence of the increase in population and various socio-economic advancement in the recent decades within the Ganga River Basin, the demand as well as the claim for the available water has swollen, and assessing the demand and supply of available water turns out to be essentially urgent [7][8][9]. Most tropical and sub-tropical areas, such as India, which is categorized by considerable annual and seasonal variations in precipitation.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, discovering techniques that can accomplish a safe, assured, secure, and sustainable supply of water in this region has catch the attention of both society and government. Nevertheless, the simulation of credible flows for GRB is the primary step before heading towards the optimizing of reservoir operation problem, as it is necessary not only to manage the available water resources of the basin, but also to have a enhanced knowledge of the influence of possible future alterations on the availability of water [9]. Hydrological models have been necessary for examining hydrologic processes and their reactions to both endogenous and human influences, although because of the complexity involving the exemplification of complicated environmental conditions and processes, the hydrologic models require to be calibrated prior to its application in order to attain a realistic match [68][69][70].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

2018

Self Cite

View full text Add to dashboard Cite

Reservoirs are recognized as one of the most efficient infrastructure components in integrated water resources management. At present, with the ongoing advancement of social economy and requirement of water, the water resources shortage problem has worsened, and the operation of reservoirs, in terms of consumption of flood water, has become significantly important. To achieve optimal reservoirs operating policies, a considerable amount of optimization and simulation models have been introduced in the course of recent years. Subsequently, the assessment and estimation that is associated with the operation of reservoir stays conventional. In the present study, the Soil and Water Assessment Tool (SWAT) models and a Genetic Algorithm model has been employed to two reservoirs in Ganga River basin, India in order to obtain the optimal reservoir operational policies. The objective function has been added to reduce the yearly sum of squared deviation from preferred storage capacity and required release for the irrigation purpose. The rule curves that were estimated via random search have been discovered to be consistent with that of demand requests. Thus, in the present case study, on the basis of the generated result, it has been concluded that GA-derived optimal reservoir operation rules are competitive and promising, and can be efficiently used for the derivation of operation of the reservoir.

show abstract

Section: Swat Modelmentioning

confidence: 99%

Section: Swat Modelmentioning

confidence: 99%

Section: Reservoir Inflowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

2018

Self Cite

View full text Add to dashboard Cite

show abstract

Simulating saturation‐excess surface run‐off in a semi‐distributed hydrological model

Hughes

Mazibuko

2018

Hydrological Processes

View full text Add to dashboard Cite

The level of complexity, and the number of parameters, to include in a hydrological model is a relatively contentious issue in hydrological modelling. However, it can be argued that explicitly representing important run‐off generation processes can improve the practical value of a model's outputs. This paper explores the benefits of including a new function into an existing semi‐distributed hydrological model (the Pitman model) that is widely used in the sub‐Saharan Africa region. The new function was designed to represent saturation‐excess surface run‐off processes at subcatchment scales and was motivated by the evidence of dambo (low topography riparian areas) type features in many sub‐Saharan river basins. The results for uncertainty versions of the model, with and without the new function, were compared for 25 catchments, which were divided up into those where evidence of dambos exists and those where there is no such evidence. The results suggest that the new function certainly improves the model results for the catchments where dambos exist, but not in situations where saturation‐excess surface run‐off is not expected to occur. The overall conclusion is therefore that the addition of the new function is justified.

show abstract

Quantitative delineation of water sources in the river Ganga using stable water isotopes

Kumar,

Basu,

Ajay

et al. 2023

River Research & Apps

View full text Add to dashboard Cite

Quantitative delineation of water sources in a large river system is essential for the sustainable use of water. In the present study, we have tested two different methodologies to estimate the contribution from different water sources in the river Ganga. The first model uses stable isotopes and physicochemical parameters of water to delineate the contribution of glacier‐melt, groundwater, and surface runoff in different stretches of the river Ganga. The end member‐based mixing model provides glacier‐melt contribution of ~31.2%, ~5.5%, and ~0.5% in the upper, middle, and lower stretch of the river Ganga. The model showed maximum contribution from groundwater (~66.3%) in the middle stretch and surface runoff (~57.2%) in the lower stretch of the river Ganga. However, the uncertainties in the estimates from the three‐component mixing model were significantly high due to temporal variability in the end member values. To provide estimates with lower uncertainty, an alternate method (discharge dependent budget estimation [DDBE]) has been proposed which delineates the contribution of groundwater and surface runoff in small segments of the river. The DDBE model confines the calculation for budget estimates to smaller segments of the river and hence leads to lower uncertainties in the results, providing improved systematic estimation of water budget for large river systems. In the present study, estimates from the DDBE model suggest that groundwater contributes ~79% of the additional water whereas the contribution from surface runoff is ~21% in the middle and lower stretch of the river Ganga. The DDBE model was successfully applied in 5 small segments along the stretch of the river Ganga and the methodology used shows great potential for systematic delineation of water sources in large river system.

show abstract

Regional scale hydrologic modeling for prediction of water balance, analysis of trends in streamflow and variations in streamflow: The case study of the Ganga River basin

Cited by 75 publications

References 61 publications

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

Simulating saturation‐excess surface run‐off in a semi‐distributed hydrological model

Quantitative delineation of water sources in the river Ganga using stable water isotopes

Contact Info

Product

Resources

About