Hydrological simulation of the Betwa River basin (India) using the SWAT model

Highly accurate and high-quality precipitation products that can act as substitutes for ground precipitation observations have important significance for research development in the meteorology and hydrology of river basins. In this paper, statistical analysis methods were employed to quantitatively assess the usage accuracy of three precipitation products, China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS), next-generation Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) and Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), for the Jinsha River Basin, a region characterized by a large spatial scale and complex terrain. The results of statistical analysis show that the three kinds of data have relatively high accuracy on the average grid scale and the correlation coefficients are all greater than 0.8 (CMADS:0.86, IMERG:0.88 and TMPA:0.81). The performance in the average grid scale is superior than that in grid scale. (CMADS: 0.86(basin), 0.6 (grid); IMERG:0.88 (basin),0.71(grid); TMPA:0.81(basin),0.42(grid)). According to the results of hydrological applicability analysis based on SWAT model, the three kinds of data fail to obtain higher accuracy on hydrological simulation. CMADS performs best (NSE:0.55), followed by TMPA (NSE:0.50) and IMERG (NSE:0.45) in the last. On the whole, the three types of satellite precipitation data have high accuracy on statistical analysis and average accuracy on hydrological simulation in the Jinsha River Basin, which have certain hydrological application potential.

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Study on Hydrological Simulation of Jin River Based on SWAT-X Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.84-85.238 ◽

2011 ◽

Vol 84-85 ◽

pp. 238-243

Author(s):

Yu Jie Fang ◽

Wen Bin Zhou ◽

Ding Gui Luo

Keyword(s):

River Basin ◽

Assessment Tool ◽

Swat Model ◽

Model Parameters ◽

Parameter Sensitivity Analysis ◽

Hydrological Simulation ◽

Resources Management ◽

Using Data ◽

Sensitive Parameters ◽

Water Assessment

Hydrological simulation is the basis of water resources management and utilization. In this study, Soil and Water Assessment Tool (SWAT) model was applied to Jin River Basin for hydrological simulation on ArcView3.3 platform. The basic database of Jin river Basin was built using ArcGis9.2. Based on the LH-OAT parameter sensitivity analysis, the sensitive parameters of runoff were identified, including CN2, Gwqmn, rchrg_dp, ESCO, sol_z, SLOPE, SOL_AWC, sol_k, Gwrevap, and then model parameters related to runoff were calibrated and validated using data observed in weifang, yifeng, shanggao and gaoan hydrological stations during 2001-2008. The simulation showed that the simulated values were reasonably comparable to the observed data (Re<20%, R2 >0.7 and Nash-suttcliffe > 0.7), suggesting the validity of SWAT model in Jin River Basin.

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Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China

Water ◽

10.3390/w12113243 ◽

2020 ◽

Vol 12 (11) ◽

pp. 3243

Author(s):

Qiang Wang ◽

Jun Xia ◽

Xiang Zhang ◽

Dunxian She ◽

Jie Liu ◽

...

Keyword(s):

Spatial Distribution ◽

River Basin ◽

Assessment Tool ◽

Southern China ◽

Swat Model ◽

Observation Data ◽

Hydrological Simulation ◽

Simulation Results ◽

Streamflow Simulation ◽

Ganjiang River Basin

The lack of meteorological observation data limits the hydro-climatic analysis and modeling, especially for the ungauged or data-limited regions, while satellite and reanalysis products can provide potential data sources in these regions. In this study, three daily products, including two satellite products (Tropic Rainfall Measuring Mission Multi-Satellite Precipitation Analysis, TMPA 3B42 and 3B42RT) and one reanalysis product (China Meteorological Assimilation Driving Datasets for the SWAT Model, CMADS), were used to assess the capacity of hydro-climatic simulation based on the statistical method and hydrological model in Ganjiang River Basin (GRB), a humid basin of southern China. CAMDS, TMPA 3B42 and 3B42RT precipitation were evaluated against ground-based observation based on multiple statistical metrics at different temporal scales. The similar evaluation was carried out for CMADS temperature. Then, eight scenarios were constructed into calibrating the Soil and Water Assessment Tool (SWAT) model and simulating streamflow, to assess their capacity in hydrological simulation. The results showed that CMADS data performed better in precipitation estimation than TMPA 3B42 and 3B42RT at daily and monthly scales, while worse at the annual scale. In addition, CMADS can capture the spatial distribution of precipitation well. Moreover, the CMADS daily temperature data agreed well with observations at meteorological stations. For hydrological simulations, streamflow simulation results driven by eight input scenarios obtained acceptable performance according to model evaluation criteria. Compared with the simulation results, the models driven by ground-based observation precipitation obtained the most accurate streamflow simulation results, followed by CMADS, TMPA 3B42 and 3B42RT precipitation. Besides, CMADS temperature can capture the spatial distribution characteristics well and improve the streamflow simulations. This study provides valuable insights for hydro-climatic application of satellite and reanalysis meteorological products in the ungauged or data-limited regions.

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Proportional coefficient method applied to TRMM rainfall data: case study of hydrological simulations of the Hotan River Basin (China)

Journal of Water and Climate Change ◽

10.2166/wcc.2017.080 ◽

2017 ◽

Vol 8 (4) ◽

pp. 627-640 ◽

Cited By ~ 3

Author(s):

Min Luo ◽

Tie Liu ◽

Fanhao Meng ◽

Yongchao Duan ◽

Yue Huang ◽

...

Keyword(s):

Snow Cover ◽

River Basin ◽

Assessment Tool ◽

Swat Model ◽

Tropical Rainfall Measuring Mission ◽

Temporal Variations ◽

Rain Gauge ◽

Hydrological Modelling ◽

Hydrological Simulation

Abstract A low-density rain gauge network is always a major obstacle for hydrological modelling, particularly for alpine and remote regions. The availability of the Tropical Rainfall Measuring Mission (TRMM) rainfall products provides an opportunity for hydrological modelling, although the results must be validated and corrected before they can be used in further applications. In this paper, the combination of proportional coefficients with cross-checking by hydrological modelling was proposed as a method to improve the quality of TRMM data in a rural mountainous region, the Hotan River Basin. The performance of the Soil and Water Assessment Tool (SWAT) model was examined using streamflow and snow cover measurements. The corrected results suggest that the proportional coefficient approach could effectively improve the TRMM data quality. A verification of the hydrological model outputs indicated that the simulated streamflow was consistent with the observed runoff. Moreover, the modelled snow cover patterns presented similar spatial and temporal variations to the remotely sensed snow cover, and the correlation coefficient ranged from 0.63 to 0.98. The results from the TRMM correction and hydrological simulation approach indicated that this method can significantly improve the precision of TRMM data and can meet the requirements of hydrological modelling.

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Hydrological simulation as subside for management of surface water resources at the Mortes River Basin

Ciência e Agrotecnologia ◽

10.1590/1413-70542016404009516 ◽

2016 ◽

Vol 40 (4) ◽

pp. 390-404 ◽

Cited By ~ 4

Author(s):

Eliete Nazaré Eduardo ◽

Carlos Rogério de Mello ◽

Marcelo Ribeiro Viola ◽

Phillip Ray Owens ◽

Nilton Curi

Keyword(s):

Resource Management ◽

Water Resources ◽

River Basin ◽

Water Resource ◽

Water Resource Management ◽

Swat Model ◽

Model Performance ◽

Management Tool ◽

Hydrological Simulation ◽

Surface Water Resources

ABSTRACT Hydrological models are tools which describe processes and allow predicting the results of making management decisions, and are an important water resource management tool, especially for small-sized watersheds. This work had as an objective to test different calibration strategies and apply the SWAT model for hydrological simulation of the Mortes River Basin, MG. We evaluated 6 fluviometric stations, with drainage area between 272 and 6070 km² for purposes of water resource management. The evaluation of the model performance was conducted by using Nash-Sutcliffe coefficients (CNS) and percent bias (PBIAS). The results obtained from the statistic indices applied in the analysis of the model performance qualified the SWAT hydrological model as adequate for streamflow simulation in the Mortes River Basin. The adopted strategies attest to the applicability of the model as a management tool for water resources planning for other small-sized watersheds without data, in order to plan for rational water use.

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Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part I: Model Development)

Water ◽

10.3390/w13111546 ◽

2021 ◽

Vol 13 (11) ◽

pp. 1546

Author(s):

Suresh Marahatta ◽

Laxmi Prasad Devkota ◽

Deepak Aryal

Keyword(s):

River Basin ◽

River Flow ◽

Assessment Tool ◽

Swat Model ◽

Rainfall Runoff ◽

Flow Data ◽

Monsoon Period ◽

Hydrological Simulation ◽

Calibration And Validation ◽

Mountainous River

The soil and water assessment tool (SWAT) hydrological model has been used extensively by the scientific community to simulate varying hydro-climatic conditions and geo-physical environment. This study used SWAT to characterize the rainfall-runoff behaviour of a complex mountainous basin, the Budhigandaki River Basin (BRB), in central Nepal. The specific objectives of this research were to: (i) assess the applicability of SWAT model in data scarce and complex mountainous river basin using well-established performance indicators; and (ii) generate spatially distributed flows and evaluate the water balance at the sub-basin level. The BRB was discretised into 16 sub-basins and 344 hydrological response units (HRUs) and calibration and validation was carried out at Arughat using daily flow data of 20 years and 10 years, respectively. Moreover, this study carried out additional validation at three supplementary points at which the study team collected primary river flow data. Four statistical indicators: Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS), ratio of the root mean square error to the standard deviation of measured data (RSR) and Kling Gupta efficiency (KGE) have been used for the model evaluation. Calibration and validation results rank the model performance as “very good”. This study estimated the mean annual flow at BRB outlet to be 240 m3/s and annual precipitation 1528 mm with distinct seasonal variability. Snowmelt contributes 20% of the total flow at the basin outlet during the pre-monsoon and 8% in the post monsoon period. The 90%, 40% and 10% exceedance flows were calculated to be 39, 126 and 453 m3/s respectively. This study provides additional evidence to the SWAT diaspora of its applicability to simulate the rainfall-runoff characteristics of such a complex mountainous catchment. The findings will be useful for hydrologists and planners in general to utilize the available water rationally in the times to come and particularly, to harness the hydroelectric potential of the basin.

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Application of Satellite-Based and Observed Precipitation Datasets for Hydrological Simulation in the Upper Mahi River Basin of Rajasthan, India

Sustainability ◽

10.3390/su13147560 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7560

Author(s):

Dinesh Singh Bhati ◽

Swatantra Kumar Dubey ◽

Devesh Sharma

Keyword(s):

River Basin ◽

Hydrological Modeling ◽

Environmental Changes ◽

Assessment Tool ◽

Swat Model ◽

Measurement Techniques ◽

Coefficient Of Determination ◽

Hydrological Simulation ◽

And Performance ◽

Trmm 3B42

Hydrological modeling is an important tool used for basin management and studying the impacts of extreme events in a river basin. In streamflow simulations, precipitation plays an essential role in hydrological models. Meteorological satellite precipitation measurement techniques provide highly accurate rainfall information with high spatial and temporal resolution. In this analysis, the tropical rainfall monitoring mission (TRMM) 3B42 V7 precipitation products were employed for simulating streamflow by using the soil water assessment tool (SWAT) model. With India Metrological Department and TRMM data, the SWAT model can be used to predict streamflow discharge and identify sensitive parameters for the Mahi basin. The SWAT model was calibrated for 2 years and then independently validated for 2 years by comparing observed and simulated streamflow. A strong correlation was observed between the calibration and validation results for the Paderdibadi station, with a Nash–Sutcliffe efficiency of >0.34 and coefficient of determination (R2) of >0.77. The SWAT model was used to adequately simulate the streamflow for the Upper Mahi basin with a satisfactory R2 value. The analysis indicated that TRMM 3B42 V7 is useful in SWAT applications for predicting streamflow and performance and for sensitivity analysis. In addition, satellite data may require correction before its utilization in hydrological modeling. This study is helpful for stakeholders in monitoring and managing agricultural, climatic, and environmental changes.

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SIMULAÇÃO HIDROLÓGICA FERRAMENTA PARA GESTÃO DOS RECURSOS HÍDRICOS EM FUNÇÃO DE MUDANÇAS CLIMÁTICAS NA BACIA DO RIO RIACHÃO, MG, BRASIL

Nativa ◽

10.31413/nativa.v7i6.7803 ◽

2019 ◽

Vol 7 (6) ◽

pp. 718

Author(s):

Rafael Alexandre Sá ◽

Marcos Koiti Kondo ◽

Edson De Oliveira Vieira ◽

Silvânio Rodrigues Dos Santos ◽

Nayara Paula Andrade Vieira ◽

...

Keyword(s):

Climate Change ◽

Water Resources ◽

River Basin ◽

Air Temperature ◽

Water Availability ◽

Swat Model ◽

Minas Gerais ◽

Hydrologic Model ◽

Hydrological Simulation ◽

The Impact

A simulação hidrológica de bacias hidrográficas tem se tornado uma ferramenta importante de planejamento e gestão de recursos hídricos, projetando-se inclusive a disponibilidade hídrica a partir das mudanças climáticas. Dessa forma, objetivou-se avaliar a eficiência do modelo hidrológico SWAT na simulação da vazão da bacia hidrográfica do rio Riachão, no Norte de Minas Gerais, sob impacto de cenários alternativos de elevação da temperatura média do ar. O modelo SWAT foi ajustado para o período de 01/01/2008 a 31/12/2014 e calibrado com os dados das vazões hidrometradas obtendo valores do coeficiente de eficiência Nash-Sutcliffe (NSE) de 0,74 e 0,79 e tendência percentual (PBIAS) 15,45% e 16,72%, nas fases de calibração e validação, respectivamente. A disponibilidade de água superficial da bacia hidrográfica para comparação dos cenários foi calculada por meio da curva de permanência da vazão de referência Q90, obtendo-se o valor de 0,081 m3 s-1 para o modelo calibrado. Os cenários de aumento da temperatura média da bacia em 1,5; 2,0; 3,0; 4,0 e 5,0 °C levaram ao decréscimo da Q90 em 7,66; 8,98; 10,49; 14,06 e 17,76%, respectivamente.Palavras-chave: escoamento superficial; modelo SWAT; cenários climáticos; gerenciamento de recursos hídricos. HYDROLOGICAL SIMULATION TOOL FOR MANAGEMENT OF WATER RESOURCES IN THE FUNCTION OF CLIMATE CHANGE IN THE RIACHÃO RIVER BASIN, MG, BRAZIL ABSTRACT: The hydrological simulation of watersheds becomes a major tool for planning and management of water resources, including water availability prediction from global climate change. Thus, the objective was to evaluate the efficiency of the SWAT hydrologic model to simulate the stream flow of Riachão river basin, North of Minas Gerais State, Brazil, under the impact of alternative scenarios with the increase in mean surface air temperature. The SWAT model was adjusted for 1/1/2008 to 12/31/2014 period and calibrated with data measurement obtaining values the Nash-Sutcliffe efficiency (NSE) of 0.74 and 0.79 and percent bias (PBIAS) of 15.45 and 16.72% was found to calibration and validation period, respectively. The surface water availability in the hydrographic basin was calculated by Q90 streamflow, with calibrated value of 0.081 m³s-1. The scenarios of increase in mean air temperature (1.5, 2.0, 3.0, 4.0 and 5.0 ºC) reduced Q90 by 7.66, 8.98, 10.49, 14.06 and 17.76%, respectively.Keywords: runoff; SWAT model; climate scenarios; water resource management.

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Application of SWAT in Hydrological Simulation of Complex Mountainous River Basin (Part II: Climate Change Impact Assessment)

Water ◽

10.3390/w13111548 ◽

2021 ◽

Vol 13 (11) ◽

pp. 1548

Author(s):

Suresh Marahatta ◽

Deepak Aryal ◽

Laxmi Prasad Devkota ◽

Utsav Bhattarai ◽

Dibesh Shrestha

Keyword(s):

Climate Change ◽

River Basin ◽

Climate Models ◽

Assessment Tool ◽

Swat Model ◽

Global Climate Models ◽

Climate Data ◽

The Future ◽

The Impact ◽

Mountainous River

This study aims at analysing the impact of climate change (CC) on the river hydrology of a complex mountainous river basin—the Budhigandaki River Basin (BRB)—using the Soil and Water Assessment Tool (SWAT) hydrological model that was calibrated and validated in Part I of this research. A relatively new approach of selecting global climate models (GCMs) for each of the two selected RCPs, 4.5 (stabilization scenario) and 8.5 (high emission scenario), representing four extreme cases (warm-wet, cold-wet, warm-dry, and cold-dry conditions), was applied. Future climate data was bias corrected using a quantile mapping method. The bias-corrected GCM data were forced into the SWAT model one at a time to simulate the future flows of BRB for three 30-year time windows: Immediate Future (2021–2050), Mid Future (2046–2075), and Far Future (2070–2099). The projected flows were compared with the corresponding monthly, seasonal, annual, and fractional differences of extreme flows of the simulated baseline period (1983–2012). The results showed that future long-term average annual flows are expected to increase in all climatic conditions for both RCPs compared to the baseline. The range of predicted changes in future monthly, seasonal, and annual flows shows high uncertainty. The comparative frequency analysis of the annual one-day-maximum and -minimum flows shows increased high flows and decreased low flows in the future. These results imply the necessity for design modifications in hydraulic structures as well as the preference of storage over run-of-river water resources development projects in the study basin from the perspective of climate resilience.

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Error Correction of Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Lancang-Mekong River Basin

Remote Sensing ◽

10.3390/rs13020312 ◽

2021 ◽

Vol 13 (2) ◽

pp. 312

Author(s):

Xiongpeng Tang ◽

Jianyun Zhang ◽

Guoqing Wang ◽

Gebdang Biangbalbe Ruben ◽

Zhenxin Bao ◽

...

Keyword(s):

Error Correction ◽

River Basin ◽

Regional Scale ◽

Mekong River ◽

Precipitation Data ◽

Climate Data ◽

Hydrological Simulation ◽

Mekong River Basin ◽

Precipitation Estimation ◽

Simulation Results

The demand for accurate long-term precipitation data is increasing, especially in the Lancang-Mekong River Basin (LMRB), where ground-based data are mostly unavailable and inaccessible in a timely manner. Remote sensing and reanalysis quantitative precipitation products provide unprecedented observations to support water-related research, but these products are inevitably subject to errors. In this study, we propose a novel error correction framework that combines products from various institutions. The NASA Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the Asian Precipitation Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), the Climate Hazards group InfraRed Precipitation with Stations (CHIRPS), the Multi-Source Weighted-Ensemble Precipitation Version 1.0 (MSWEP), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Records (PERSIANN) were used. Ground-based precipitation data from 1998 to 2007 were used to select precipitation products for correction, and the remaining 1979–1997 and 2008–2014 observe data were used for validation. The resulting precipitation products MSWEP-QM derived from quantile mapping (QM) and MSWEP-LS derived from linear scaling (LS) are evaluated by statistical indicators and hydrological simulation across the LMRB. Results show that the MSWEP-QM and MSWEP-LS can better capture major annual precipitation centers, have excellent simulation results, and reduce the mean BIAS and mean absolute BIAS at most gauges across the LMRB. The two corrected products presented in this study constitute improved climatological precipitation data sources, both time and space, outperforming the five raw gridded precipitation products. Among the two corrected products, in terms of mean BIAS, MSWEP-LS was slightly better than MSWEP-QM at grid-scale, point scale, and regional scale, and it also had better simulation results at all stations except Strung Treng. During the validation period, the average absolute value BIAS of MSWEP-LS and MSWEP-QM decreased by 3.51% and 3.4%, respectively. Therefore, we recommend that MSWEP-LS be used for water-related scientific research in the LMRB.

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