SWAT manual calibration and parameters sensitivity analysis in a semi-arid watershed in North-western Morocco

Brouziyne, Youssef; Abouabdillah, Aziz; Bouabid, Rachid; Benaabidate, Lahcen; Oueslati, Ons

doi:10.1007/s12517-017-3220-9

Cited by 52 publications

(29 citation statements)

References 40 publications

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“…Sensitivity analyses can be classified into local, in which changes in parameters are made one-by-one, while all the others are kept constant, and global, which promotes a multilinear regression of the entire input space (Brouziyne et al, 2017;Song et al, 2015). There are many techniques that can be applied to sensitivity analyses: manual operations, screening methods, regression analyses, variance-based methods, meta-modeling methods, and others (Song et al 2015).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Moreira¹,

Schwamback²,

Rigo³

2018

Rev. ambiente água

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The uncertainties present in hydrological models have made them difficult and often impossible to apply. This work evaluated the sensitivity of input parameters in the SWAT model used for the modeling of average monthly flow-discharge in the Jucu River Basin, located in the southeast portion of the state of Espírito Santo, Brazil. Sensitivity analysis was performed using the SWAT-CUP program, which uses the SUFI-2 algorithm. Four sensitivity analysis tests differing by the length of hydrological series, number of iteration and fluviometric station locations resulted in different sensitivity levels of input parameters used in the model. In this way, the present study emphasizes the need for a greater detailing of methodological processes used in the sensitivity analysis, so that different hierarchies of parameters can be obtained through the same tool.

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Section: Introductionmentioning

confidence: 99%

“…Besides the increasing of SWAT publications, only a few of the techniques focus on sensitivity-analysis improvements (Brouziyne et al, 2017). Wu and Liu (2012) proposed an automated sensitivity analysis through R-package Flexible Modeling Environment (FME).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Moreira¹,

Schwamback²,

Rigo³

2018

Rev. ambiente água

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“…In a study of the R'dom watershed in North-West of Morocco the land cover parameter was the most sensitive parameter with the value of NSE, R 2 of the daily time steps in the calibration period is 0.58, 0.79 [BROUZIYNE et al 2017]. In another study in the Tafna watershed in the simulation of the runoff the groundwater parameter have a big influence on the simulation result with value of NSE and R 2 of the flow simulation is NSE between 0.42 and 0.75, and R 2 was in the interval from 0.25 to 0.84 [ZETTAM et al 2017].…”

Section: Discussionmentioning

confidence: 98%

Hydrological modeling using the SWAT model based on two types of data from the watershed of Beni Haroun dam, Algeria

Kateb

Bouchelkia

Benmansour

et al. 2019

Journal of Water and Land Development

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The dam of Beni Haroun is the largest in Algeria, and its transfer structures feed seven provinces (wilayas) in the eastern part of Algeria. Due to its importance in the region, it has now become urgent to study its watershed as well as all the parameters that can influence the water and solid intakes that come into the dam. The Soil and Water Assessment Tool (SWAT) model is used to quantify the water yields and identify the vulnerable spots using two scenarios. The first one uses worldwide data (GlobCover and HWSD), and the second one employs remote sensing and digital soil mapping in order to determine the most suitable data to obtain the best results. The SWAT model can be used to reproduce the hydrological cycle within the watershed. Concerning the first scenario, during the calibration period, R2 was found between 0.45 and 0.69, and the Nash–Sutcliffe efficiency (NSE) coefficient was within the interval from 0.63 to 0.80; in the validation period, R2 lied between 0.47 and 0.59, and the NSE coefficient ranged from 0.58 to 0.64. As for the second scenario, during the calibration period, R2 was between 0.60 and 0.66, and the NSE coefficient was between 0.55 and 0.75; however, during the validation period, R2 was in the interval from 0.56 to 0.70, and the NSE coefficient within the range 0.64–0.70. These findings indicate that the data obtained using remote sensing and digital soil mapping provide a better representation of the watershed and give a better hydrological modelling.

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“…However, it was decided to use only manual calibration in this study. This choice was due to the physical peculiarities of the watershed, which can only be identified by the hydrologist (GREEN; VAN GRIENSVEN, 2008; LUBITZ; PINHEIRO; KAUFMANN, 2013;MELO NETO et al, 2014;BROUZIYNE et al, 2017). According to Tucci and Collischonn (2003), for a user experienced in hydrological modeling, manual calibration is a relatively simple stage that implicitly takes multiple objectives into account.…”

Section: Warm-up Calibration and Validationmentioning

confidence: 99%

“…These authors found a cascade effect of incoherent values in the automatic calibration process, where one parameter compensates for the other, generating simulations with values close to the real ones, but without representing the dominant physical processes in the basin. It should be underscored that some SWAT users have been choosing only manual calibration in recent years, obtaining satisfactory simulations (LUBITZ; PINHEIRO; KAUFMANN, 2013;BROUZIYNE et al, 2017). In this way it was found that the great advantage of automatic calibration is that it saves time, while manual calibration is essential to ensure the appropriate representation of the physical processes in the watershed.…”

Section: Warm-up Calibration and Validationmentioning

confidence: 99%

Hydrosedimentological modeling with SWAT using multi-site calibration in nested basins with reservoirs

Zanin

Bonumá

Corseuil

2018

RBRH

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Calibration and validation of hydrosedimentological models, usually performed at the outlet of a single basin, does not always correctly represent the hydrosedimentological processes in the different subdivisions of dammed river systems. The aim of this study was to evaluate simple calibration techniques (watershed outlet) and multi-site calibration (watershed outlet and internal reservoirs) with the Soil and Water Assessment Tool - SWAT model, using two nested basins in the southern region of Brazil. Three modeling procedures were analyzed, adjusting the hydrological and sedimentological parameters of the watershed and the reservoirs. It was found that (a) the simplest calibration does not correctly represent the processes in reservoirs; (b) the multi-site calibration provided a better simulation of the hydrosedimentological dynamics of the nested basins; and (c) parameterizations of the SWAT reservoir module have limitations in the context of the study area. The results showed that the multi-site calibration in watershed with reservoirs is more appropriate.

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SWAT manual calibration and parameters sensitivity analysis in a semi-arid watershed in North-western Morocco

Cited by 52 publications

References 40 publications

Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Hydrological modeling using the SWAT model based on two types of data from the watershed of Beni Haroun dam, Algeria

Hydrosedimentological modeling with SWAT using multi-site calibration in nested basins with reservoirs

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