Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data sparse catchment in southwestern Nigeria

Odusanya, Abolanle E.; Mehdi, Bano; Schürz, Christoph; Oke, AO; Awokola, O. S.; Awomeso, J. A.; Adejuwon, J. O.; Schulz, Karsten

doi:10.5194/hess-2018-170

Cited by 14 publications

(12 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The split-up procedure was followed for the model calibration. In the split-up procedure, the model calibration was carried out in two stages i.e., precalibration and post-calibration (Abbaspour et al 2015;Odusanya et al 2019). The pre-calibration helps to identify the major sensitive parameters and then further tuned in the post-calibration.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

A catchment scale assessment of water balance components: a case study of Chittar catchment in South India

Kothandaraman

Kasiviswanathan

Mohan

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Analyzing the Water Balance Components (WBCs) of catchment help in assessing the water resources for their sustainable management and development. This paper used Soil and Water Assessment Tool (SWAT) model mainly to analyze the variation in the WBCs through the change in the Land Use and Land Cover (LULC) and meteorological variables. For this purpose, the model used the inputs of LULC and meteorological variables between the year 2001-2020 at ve year and daily time interval respectively from the Chittar river catchment. The developed models were evaluated using SWAT-CUP split-up procedure (pre-calibration and post-calibration). The model was found to be good in calibration and validation, yielding the coe cient of determination (R 2 ) of 0.94 and 0.81 respectively. Furthermore, WBCs of the catchment were estimated for the near future (2021 -2030) at monthly and annual scale. For this endeavour, LULC was forecasted for the year 2021 and 2026 using Celluar Automata (CA)-ANN and for the same period meteorological variables were also forecasted using the smoothing moving average method from the historical data.

show abstract

Section: Model Calibration and Validationmentioning

confidence: 99%

A catchment scale assessment of water balance components: a case study of Chittar catchment in South India

Kothandaraman

Kasiviswanathan

Mohan

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…We have not provided a precise methodology for incorporating DYNO into other optimization methods though, since incorporation of DYNO depends on the structure of an optimization method, and structures of optimization methods vary a lot. We did illustrate in section 2. calibration (Franco et al, 2020;Odusanya et al, 2019), seawater intrusion model calibration (Coulon et al, 2021), and water quality model calibration etc. In these problems, there are usually multiple constituents (e.g., substances) to be calibrated and the observations are usually available at multiple locations.…”

Section: Possibilities For Other Applicationsmentioning

confidence: 99%

A Novel Objective Function DYNO for Automatic Multi-variable Calibration and Application to Assess Effects of Velocity versus Temperature Data for 3D Lake Models Calibration

Xia

Akhtar²,

Shoemaker

2021

Preprint

View full text Add to dashboard Cite

Abstract. This study introduced a novel Dynamically Normalized objective function (DYNO) for multi-variable (i.e., temperature and velocity) model calibration problems. DYNO combines the error metrics of multiple variables into a single objective function by dynamically normalizing each variable's error terms using information available during the search. DYNO is proposed to dynamically adjust the weight of the error of each variable hence balancing the calibration to each variable during optimization search. The DYNO is applied to calibrate a tropical hydrodynamic model where temperature and velocity observation data are used for model calibration simultaneously. We also investigated the efficiency of DYNO by comparing the result of using DYNO to results of calibrating to either temperature or velocity observation only. The result indicates that DYNO can balance the calibration in terms of water temperature and velocity and that calibrating to only one variable (e.g., temperature or velocity) cannot guarantee the goodness-of-fit of another variable (e.g., velocity or temperature). Our study suggested that both temperature and velocity measures should be used for hydrodynamic model calibration in real practice. Our example problems were computed with a parallel optimization method PODS but DYNO can also be easily used in serial applications.

show abstract

“…Furthermore, global temperatures are projected to continuously increase (IPCC, 2013), which will accelerate water loss from Earth's surface (Aouissi et al, 2016). Potential evapotranspiration (PET), a crucial hydrological variable that can quantify the water loss of a region, could be used to calculate actual evapotranspiration (Aouissi et al, 2016), plan crop irrigation (Fan et al, 2018), project vegetation dynamics (Peng and Li, 2018), and could act as input for ecosystem or hydrological models (Odusanya et al, 2019). Therefore, detailed spatiotemporal PET changes and attribution should be investigated to help develop sustainable strategies that cope with negative effect of warming in the globe.…”

Section: Introductionmentioning

confidence: 99%

“…These models have been widely evaluated and employed to study PET variations around the world. Of these, the Hargreaves and FAO Penman-Monteith models have generally performed best (Odusanya et al, 2019;Yang et al, 2017;Zhao et al, 2004). However, the Hargreaves model is more suitable than the FAO Penman-Monteith model for use in a drier climate and for longer time periods (Hargreaves and Allen, 2003;Odusanya et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100

Ding

Peng

2021

Theor Appl Climatol

View full text Add to dashboard Cite

Global warming has accelerated surface water loss around the world. This study investigates in detail the change and attribution of potential evapotranspiration (PET) across China from 1901 to 2100 by the Hargreaves model, based on a 1-km temperature dataset downscaled from the low-spatial-resolution datasets using a Delta downscaling framework. Results showed that (1) relative to 1961-1990, PET increased by 0.62% in the historic period (1901-2017) and 6.43-12.89% for the future period (2018-2100), suggesting considerable future drying for China. Moreover, these increments had strong spatial variations and the largest increases were detected in high-elevation regions; (2) PET over entire China demonstrated a nonsignificant upward trend during the historic period and significant upward trends for the future period. For each period and GCM, significant upward PET trends occupied a much larger percent area than significant downward trends; (3) PET variations during the historic period were most sensitive to mean temperature (TMP), while in the future period it was more sensitive to maximum temperature (TMX), suggesting a change in the primary sensitivity factor due to global warming; (4) minimum temperature (TMN) made the largest contribution (45%) to PET variations during the historic period, while TMX had the largest contribution (36-40%) in the future period. Therefore, the primary contributing factor might transform from TMN to TMX under climate change; and (5) PET variations exhibited strong spatial heterogeneity, detected on fine geographic scales, due to the use of downscaled dataset. Overall, the results present a deep insight for planning coping strategies of global warming in China.

show abstract

Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data sparse catchment in southwestern Nigeria

Cited by 14 publications

References 32 publications

A catchment scale assessment of water balance components: a case study of Chittar catchment in South India

A catchment scale assessment of water balance components: a case study of Chittar catchment in South India

A Novel Objective Function DYNO for Automatic Multi-variable Calibration and Application to Assess Effects of Velocity versus Temperature Data for 3D Lake Models Calibration

Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100

Contact Info

Product

Resources

About