Hydrological Modelling of Deo River Sub-Basin using SWAT Model and Performance Evaluation using SWAT-CUP

The current study analyses the runoff response using Soil and Water Assessment Tool (SWAT) during rainfall incidents over the sub-basin of Deo River, Panch Mahal, Gujarat, India. The SWAT model is developed for the Deo river sub-basin having catchment area of 194.36 km2 , with 7 sub-basins comprising of 94 Hydrological Response Units (HRUs). Two rain gauge stations present in the study area (viz., Deo dam and Shivrajpur) werechosen to evaluate the efficiency of the SWAT model. To conduct SWAT model Calibration and Validation, the Soil and Water Assessment Tool-Calibration Uncertainty Program (SWAT-CUP) with Sequential Uncertainty Fitting (SUFI-2) algorithm has been used. The model was run for the period from 2000 to 2017 considering 2 years (2000-2001) warm up period with a calibration period of 2002 to 2012 and a validation period of 2013 to 2017. The sensitivity of the basin parameters was evaluated and found Curve Number as the most sensitive parameter, hence, it can be considered to improve the model's runoff simulation efficiency. The study found that the model performed good with a Coefficient of Determination (R2 ) and Nash–Sutcliffe Efficiency (NSE) as 0.89 and 0.87 during calibration and 0.88 and 0.81 during validation respectively giving data at daily scale. The findings of this study revealed that SWAT model is helpful for runoff prediction and flood forecasting for extreme rainfall occurrences in Deo river basin.

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ANÁLISE DE SENSIBILIDADE DE PARÂMETROS HIDROLÓGICOS NA BACIA DO RIO DAS PEDRAS - GUARAPUAVA-PR

Revista Brasileira de Geografia Física ◽

10.26848/rbgf.v12.5.p1746-1756 ◽

2019 ◽

Vol 12 (5) ◽

pp. 1746

Author(s):

Rafael Adriano de Castro Adriano de Castro ◽

Elias Machado

Keyword(s):

Sensitivity Analysis ◽

Input Data ◽

Assessment Tool ◽

Swat Model ◽

Coefficient Of Determination ◽

Land Use And Management ◽

The Impact ◽

Water Assessment ◽

Soil And Water

O modelo Soil and Water Assessment Tool (SWAT) é amplamente utilizado para predizer o impacto das alterações no uso e no manejo do solo, entre outros, é extremamente sensível à qualidade dos dados de entrada. Assim, antes da simulação é necessário que se realize uma análise de sensibilidade de tal forma que se possa dar ênfase maior à aquisição e refinamento de determinados dados, diminuir as incertezas e aumentar a confiança nos resultados gerados. Os resultados simulados na bacia do Rio das Pedras – Guarapuava, foram realizadas a análise de sensibilidade e a calibração do modelo SWAT. Após a calibração do modelo os resultados do Índice de Nash & Sutcliffe alterado (COE), do percentual de tendência (PBIAS), e o coeficiente de determinação (R²) foram, respectivamente, 0,69, -0,5 e 0,7, indicando bom ajuste entre a vazão média mensal da bacia Rio das Pedras simulada pelo modelo SWAT em relação aos dados observados. Sensitivity analysis of hydrological parameters in the Rio das Pedras basin - Guarapuava-PR A B S T R A C TThe SWAT model is widely used to predict the impact of changes in land use and management, among others, is extremely sensitive to the quality of input data. Thus, prior to the simulation, it is necessary to perform a sensitivity analysis in such a way that greater emphasis can be placed on the acquisition and refinement of certain data, decrease uncertainties and increase confidence in the results generated. The simulated results in the Rio das Pedras - Guarapuava basin, were performed the sensitivity analysis and calibration of the SWAT model. After the calibration of the model, the results of the modified Nash & Sutcliffe Index (COE), percentage of trend (PBIAS), and coefficient of determination (R²) were, respectively, 0.69, -0.5 and 0.7, Indicating a good fit between the average monthly flow of the Rio das Pedras basin simulated by the SWAT model in relation to the observed data.

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Aplicação do Modelo Soil And Water Assesment Tool (Swat) na bacia hidrográfica do Ribeirão Taquaruçu.

GOT - Geography and Spatial Planning Journal ◽

10.17127/got/2021.21.007 ◽

2021 ◽

pp. 159-187

Author(s):

FERNÁN VERGARA ◽

◽

FERNANDA NODA ◽

DENER SOUZA ◽

GIRLENE FIGUEIREDO MACIEL ◽

...

Keyword(s):

Assessment Tool ◽

Swat Model ◽

Flow Simulation ◽

Curve Number ◽

Hydrological Models ◽

Objective Functions ◽

Object Of Study ◽

Influential Parameters ◽

Water Assessment ◽

Soil And Water

The hydrological models are important tools to evaluate the hydrological behavior of watersheds, helping in the decision making. Thus, this study had the objective of evaluating the performance of the Soil and Water Assessment Tool (SWAT) model in the flow simulation in the Ribeirão Taquaruçu Hydrographic Basin. Flow data from two fluviometric stations were used from April 2013 to August 2015. The results of the sensitivity analysis indicated that the most influential parameters are the SOL_K (saturated hydraulic conductivity of the soil) and CN2 (curve number for the condition II). The Nash-Sutcliffe (NSE) objective functions and the determination coefficient (R2) indicated, in the calibration period, the following values: -0.05 and 0.55 (sub-basin 1); 0.51 (sub-basin 3), respectively. In the validation period, the following results were presented for NSE and R2: 0.44 and 0.54 (sub-basin 1); 0.24 and 0.29 (sub-basin 3), in that order. Considering that the object of study is responsible for a large part of the water supply of Palmas - TO and that the program was unable to simulate the minimum flows adequately, the results are considered unsatisfactory

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Calibration and Uncertainty Analysis for Modelling Runoff in the Tambo River Basin, Peru, Using Sequential Uncertainty Fitting Ver-2 (SUFI-2) Algorithm

Air Soil and Water Research ◽

10.1177/1178622120988707 ◽

2021 ◽

Vol 14 ◽

pp. 117862212098870

Author(s):

Juan Adriel Carlos Mendoza ◽

Tamar Anaharat Chavez Alcazar ◽

Sebastián Adolfo Zuñiga Medina

Keyword(s):

River Basin ◽

Assessment Tool ◽

Hydrological Cycle ◽

Swat Model ◽

Coefficient Of Determination ◽

Economic Activities ◽

Warm Up ◽

Simulation Efficiency ◽

Basin Scale ◽

Water Assessment

Basin-scale simulation is fundamental to understand the hydrological cycle, and in identifying information essential for water management. Accordingly, the Soil and Water Assessment Tool (SWAT) model is applied to simulate runoff in the semi-arid Tambo River Basin in southern Peru, where economic activities are driven by the availability of water. The SWAT model was calibrated using the Sequential Uncertainty Fitting Ver-2 (SUFI-2) algorithm and two objective functions namely the Nash-Sutcliffe simulation efficiency (NSE), and coefficient of determination ( R2) for the period 1994 to 2001 which includes an initial warm-up period of 3 years; it was then validated for 2002 to 2016 using daily river discharge values. The best results were obtained using the objective function R2; a comparison of results of the daily and monthly performance evaluation between the calibration period and validation period showed close correspondence in the values for NSE and R2, and those for percent bias (PBIAS) and ratio of standard deviation of the observation to the root mean square error (RSR). The results thus show that the SWAT model can effectively predict runoff within the Tambo River basin. The model can also serve as a guideline for hydrology modellers, acting as a reliable tool.

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Application of the SWAT (Soil and Water Assessment Tool) model in the Ronnea catchment of Sweden

Global NEST Journal ◽

10.30955/gnj.000343 ◽

2013 ◽

Vol 7 (3) ◽

pp. 252-257

Keyword(s):

Input Data ◽

Management Practices ◽

Assessment Tool ◽

Swat Model ◽

Soil Parameters ◽

Daily Step ◽

Calibration And Validation ◽

The Impact ◽

Water Assessment ◽

Soil And Water

The subject of this article is the estimation of quantitative (hydrological) and qualitative parameters in the catchment of Ronnea (1800 Km2, located in south western Sweden) through the application of the Soil and Water Assessment Tool (SWAT). SWAT is a river basin model that was developed for the U.S.D.A. Agricultural Research Service, by the Blackland Research Center in Texas. The SWAT model is a widely known tool that has been used in several cases world-wide. It has the ability to predict the impact of land management practices on water, sediment and agricultural chemical yield in large complex watersheds. The present work investigates certain capabilities of the SWAT model which have not identified up to now. More in specific, the main targets of the work carried out are the following: • Identification of the existing hydrological and qualitative conditions • Preparation - Processing of data required to be used as input data of the model • Hydrological calibration - validation of the model, in 7 subbasins of the Catchment of Ronnea • Estimation and evaluation of the simulated qualitative parameters of the model All available data were offered by the relevant Institutes of Sweden, in the framework of the European program EUROHARP. The existing conditions in the catchment of Ronnea, are described in detail including topography, land uses, soil types, pollution sources, agricultural management practices, precipitation, temperature, wind speed, humidity, solar radiation as well as observed discharges and Nitrogen and Phosphorus substances concentrations. Most of the above data were used as input data for the application of SWAT model. Adequate methods were also used to complete missing values in time series and estimate additional parameters (such as soil parameters) required by the model. Hydrological calibration and validation took place for each outlet of the 7 subbasins of Ronnea catchment in an annual, monthly and daily step. The calibration was achieved by estimating parameters related to ground water movement and evaluating convergence between simulated and observed discharges by using mainly the Nash & Sutcliffe coefficient (NTD). Through the sensitivity analysis, main parameters of the hydrological simulation, were detected. According to the outputs of the SWAT model, the water balance of Ronnea catchment was also estimated. Hydrological calibration and validation is generally considered sufficient in an annual and monthly step. Hydrological calibration – validation in daily step, generally does not lead to high values of the NTD indicator. However, when compared to results obtained by the use of SWAT in Greece, a relatively high value of NTD is achieved in one subbasin. Finally, a comparison between the simulated and observed concentrations of total Phosphorus and Nitrogen was carried out.

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Hydrological simulation in a tropical humid basin in the Cerrado biome using the SWAT model

Hydrology Research ◽

10.2166/nh.2018.222 ◽

2018 ◽

Vol 49 (3) ◽

pp. 908-923 ◽

Cited By ~ 14

Author(s):

Richarde Marques da Silva ◽

José Carlos Dantas ◽

Joyce de Araújo Beltrão ◽

Celso A. G. Santos

Keyword(s):

Assessment Tool ◽

Swat Model ◽

Coefficient Of Determination ◽

Southeastern Brazil ◽

Measured Variable ◽

Hydrological Simulation ◽

Cerrado Biome ◽

Monthly Streamflow ◽

P Factor ◽

Water Assessment

Abstract A Soil and Water Assessment Tool (SWAT) model was used to model streamflow in a tropical humid basin in the Cerrado biome, southeastern Brazil. This study was undertaken in the Upper São Francisco River basin, because this basin requires effective management of water resources in drought and high-flow periods. The SWAT model was calibrated for the period of 1978–1998 and validated for 1999–2007. To assess the model calibration and uncertainty, four indices were used: (a) coefficient of determination (R2); (b) Nash–Sutcliffe efficiency (NS); (c) p-factor, the percentage of data bracketed by the 95% prediction uncertainty (95PPU); and (d) r-factor, the ratio of average thickness of the 95PPU band to the standard deviation of the corresponding measured variable. In this paper, average monthly streamflow from three gauges (Porto das Andorinhas, Pari and Ponte da Taquara) were used. The results indicated that the R2 values were 0.73, 0.80 and 0.76 and that the NS values were 0.68, 0.79 and 0.73, respectively, during the calibration. The validation also indicated an acceptable performance with R2 = 0.80, 0.76, 0.60 and NS = 0.61, 0.64 and 0.58, respectively. This study demonstrates that the SWAT model provides a satisfactory tool to assess basin streamflow and management in Brazil.

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Applicability and Hydrologic Substitutability of TMPA Satellite Precipitation Product in the Feilaixia Catchment, China

Water ◽

10.3390/w12061803 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1803

Author(s):

Xiaoli Chen ◽

Guoru Huang

Keyword(s):

Assessment Tool ◽

Swat Model ◽

Tropical Rainfall Measuring Mission ◽

Climatic Conditions ◽

High Latitudes ◽

Climate Trends ◽

Runoff Simulation ◽

Satellite Precipitation ◽

Precipitation Analysis ◽

Water Assessment

The assessment of various precipitation products’ performances in extreme climatic conditions has become a topic of interest. However, little attention has been paid to the hydrological substitutability of these products. The objective of this study is to explore the performance of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) product in the Feilaixia catchment, China. To assess its applicability in extreme consecutive climates, several statistical indices are adopted to evaluate the TMPA performance both qualitatively and quantitatively. The Cox–Stuart test is used to investigate extreme climate trends. The Soil and Water Assessment Tool (SWAT) model is used to test the TMPA hydrological substitutability via three scenarios of runoff simulation. The results demonstrate that the overall TMPA performance is acceptable, except at high-latitudes and locations where the terrain changes greatly. Moreover, the accuracy of the SWAT model is high both in the semi-substitution and full-substitution scenarios. Based on the results, the TMPA product is a useful substitute for the gauged precipitation in obtaining acceptable hydrologic process information in areas where gauged sites are sparse or non-existent. The TMPA product is satisfactory in predicting the runoff process. Overall, it must be used with caution, especially at high latitudes and altitudes.

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Estimating sediment yield at Kaduna watershed, Nigeria using soil and water assessment tool (SWAT) model

Heliyon ◽

10.1016/j.heliyon.2019.e02106 ◽

2019 ◽

Vol 5 (7) ◽

pp. e02106 ◽

Cited By ~ 1

Author(s):

J. Daramola ◽

T.M. Ekhwan ◽

J. Mokhtar ◽

K.C. Lam ◽

G.A. Adeogun

Keyword(s):

Sediment Yield ◽

Assessment Tool ◽

Swat Model ◽

Water Assessment ◽

Soil And Water

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Modeling lowland catchment hydrology: A comparison of model versions

10.5194/egusphere-egu2020-11390 ◽

2020 ◽

Author(s):

Paul D. Wagner ◽

Katrin Bieger ◽

Jeffrey G. Arnold ◽

Nicola Fohrer

Keyword(s):

Stream Flow ◽

Agricultural Land ◽

Assessment Tool ◽

Swat Model ◽

Hydrologic Model ◽

Shallow Aquifer ◽

Northern Germany ◽

Near Surface ◽

Water Assessment ◽

Soil And Water

<p>The hydrology of rural lowland catchments in Northern Germany is characterized by near-surface groundwater tables and extensive tile drainage. Previous research has shown that representing these characteristics with the hydrologic model SWAT (Soil and Water Assessment Tool) required an improvement of groundwater processes, which has been achieved by dividing the shallow aquifer into a fast and a slow shallow aquifer. The latest version of the Soil and Water Assessment Tool (SWAT+) features several improvements compared to previous versions of the model, e.g. the definition of landscape units that allow for a better representation of spatio-temporal dynamics. To evaluate the new model capabilities for lowland catchments, we assess the performance of SWAT+ in comparison to previous SWAT applications in the Kielstau Catchment in Northern Germany. The Kielstau Catchment is about 50 km&#178; large, is dominated by agricultural land use, and has been thoroughly monitored since 2005. In particular, we explore the capabilities of SWAT+ in terms of watershed configuration and simulation of landscape processes by comparing two model setups. The first setup is comparable to previous SWAT models for the catchment, i.e. yields from hydrologic response units are summed up at subbasin level and added directly to the stream. In the second SWAT+ model, subbasins are divided into upland areas and floodplains and runoff is routed across the landscape before it reaches the streams. Model performance is assessed with regard to measured stream flow at the outlet of the catchment. Results from the new SWAT+ model confirm that two groundwater layers are necessary to represent stream flow in the catchment. The representation of routing processes from uplands to floodplains in the model further improved the simulation of stream flow. The outcomes of this study are expected to contribute to a better understanding and model representation of lowland hydrology.</p>

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