Sensitivity Analysis in Watershed Model Using SUFI-2 Algorithm

Khalid, Khairi; Ali, Megat Syahirul Amin Megat; Rahman, Nor Faiza Abd; Mispan, Muhamad Radzali; Haron, S. H.; Othman, Zulhafizal; Bachok, Mohd Fairuz

doi:10.1016/j.proeng.2016.11.086

Cited by 105 publications

(51 citation statements)

References 7 publications

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Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

“…Nineteen flow parameters were selected to detect the SWAT sensitive parameters, based on the literature [69][70][71][72][73][74]. Global sensitivity analysis [73,[75][76][77] was employed in SWAT-CUP 2012 version 5.1.4 by allowing each parameter to be individually varied at a time [78]. To analyze the significance sensitivity, the p-value and t-Stat were used [73,[75][76][77]: a high t-test value means high sensitivity, whereas a lower p-value indicates higher significance [73,75,77].…”

Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

“…Global sensitivity analysis [73,[75][76][77] was employed in SWAT-CUP 2012 version 5.1.4 by allowing each parameter to be individually varied at a time [78]. To analyze the significance sensitivity, the p-value and t-Stat were used [73,[75][76][77]: a high t-test value means high sensitivity, whereas a lower p-value indicates higher significance [73,75,77]. Model calibration is a process of adjusting model parameters, within the suggested ranges, based on observed data to approve the same response over time [78][79][80], and validation is the process of proving the representation of the parameters by simulating the observed data with an independent data set exclusive of changing model parameters [78][79][80].…”

Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

“…SUFI-2 is a semi-automated calibration and uncertainty analysis algorithm [81] that accounts for all sources of uncertainty, including uncertainty in the driving variables (e.g., rainfall), conceptual model, parameters and measured data [69,79,80]. SUFI-2 is the most popular calibration and uncertainty analysis program and, has been used in many studies [69,77,80,82]. The data set was split into a warm-up period (1990-1999), a calibration period (2000)(2001)(2002)(2003)(2004)(2005)(2006), and a validation period (2007)(2008)(2009)(2010)(2011)(2012).…”

Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

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Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

et al. 2020

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Understanding the variation in the hydrological response of a basin associated with land use changes is essential for developing management strategies for water resources. The impact of hydrological changes caused by expected land use changes may be severe for the Wami river system, given its role as a crucial area for water, providing food and livelihoods. The objective of this study is to examine the influence of land use changes on various elements of the hydrological processes of the basin. Hybrid classification, which includes unsupervised and supervised classification techniques, is used to process the images (2000 and 2016), while CA-Markov chain analysis is used to forecast and simulate the 2032 land use state. In the current study, a combined approach-including a Soil and Water Assessment Tool (SWAT) model and Partial Least Squares Regression (PLSR)-is used to explore the influences of individual land use classes on fluctuations in the hydrological components. From the study, it is evident that land use has changed across the basin since 2000 (which is expected to continue in 2032), as well as that the hydrological effects caused by land use changes were observed. It has been found that the major land use changes that affected hydrology components in the basin were expansion of cultivation land, built-up area and grassland, and decline in natural forests and woodland during the study period. These findings provide baseline information for decision-makers and stakeholders concerning land and water resources for better planning and management decisions in the basin resources' use.

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Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

Section: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

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Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

et al. 2020

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“…The SUFI-2 algorithm of SWAT-CUP [13,69,71] was selected to perform the automatic multi-site calibration. The SUFI-2 algorithm is known to identify an appropriate parameter set in a limited number of iterations [72]. A total of 1500 runs have been done for calibration steps as recommended by Yang et al [73].…”

Section: The Conventional Calibration (Cc)mentioning

confidence: 99%

Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change

Cakir

Raimonet

Sauvage

et al. 2019

Water

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Modeling is a useful way to understand human and climate change impacts on the water resources of agricultural watersheds. Calibration and validation methodologies are crucial in forecasting assessments. This study explores the best calibration methodology depending on the level of hydrological alteration due to human-derived stressors. The Soil and Water Assessment Tool (SWAT) model is used to evaluate hydrology in South-West Europe in a context of intensive agriculture and water scarcity. The Index of Hydrological Alteration (IHA) is calculated using discharge observation data. A comparison of two SWAT calibration methodologies are done; a conventional calibration (CC) based on recorded in-stream water quality and quantity and an additional calibration (AC) adding crop managements practices. Even if the water quality and quantity trends are similar between CC and AC, water balance, irrigation and crop yields are different. In the context of rainfall decrease, water yield decreases in both CC and AC, while crop productions present opposite trends (+33% in CC and −31% in AC). Hydrological performance between CC and AC is correlated to IHA: When the level of IHA is under 80%, AC methodology is necessary. The combination of both calibrations appears essential to better constrain the model and to forecast the impact of climate change or anthropogenic influences on water resources.

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Land suitability and surface water resources potential for irrigation in Becho Plain, upper Awash basin, Ethiopia^*

Gonfa

Hatiye

Finssa

2021

Irrigation and Drainage

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In this study, an assessment of the land and surface water resources potential of the Becho Plain was conducted. Land suitability for irrigated agriculture was evaluated by considering the Food and Agriculture Organization (FAO) criteria. The land suitability parameters such as soil properties, slope, land use and land cover were used to identify the suitable irrigable land. The analytical hierarchy process was employed to obtain parameter weights, and later the weighted overlay analysis in the geographic information system was employed to obtain the overall suitability of land resources for irrigation. The surface water availability and amount were evaluated by using the calibrated Soil and Water Assessment Tool (SWAT) model. The water requirement of dominant crops was estimated following the FAO procedure and compared with the available water. Nearly 70% of the land area is identified as suitable for surface irrigation, while the remaining 30% of the land area is restricted for irrigation development. The water supply and demand analysis revealed that there is sufficient water available in the Becho Plain for irrigation development. The physically possible irrigation area and diversion sites were also identified. The Becho Plain has ample land and water resources for irrigation development.However, future developments shall also consider downstream water use to implement sustainable irrigation development.

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Sensitivity Analysis in Watershed Model Using SUFI-2 Algorithm

Cited by 105 publications

References 7 publications

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change

Land suitability and surface water resources potential for irrigation in Becho Plain, upper Awash basin, Ethiopia^*

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Sensitivity Analysis in Watershed Model Using SUFI-2 Algorithm

Cited by 105 publications

References 7 publications

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

Hydrological Alteration Index as an Indicator of the Calibration Complexity of Water Quantity and Quality Modeling in the Context of Global Change

Land suitability and surface water resources potential for irrigation in Becho Plain, upper Awash basin, Ethiopia*

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Resources

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Land suitability and surface water resources potential for irrigation in Becho Plain, upper Awash basin, Ethiopia^*