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Validation and calibration of SWAT model for Kollur River Basin, Kundapura Taluk, Udupi District, Karnataka, India

Poojashree Bommetty Purushotham, Peladdy Bhavya, Suresha Kothegala Javaregowda

Acta Geophysica

2023

Vol. 71, no. 2

837--853

The present research work has been carried out for the Kollur River Basin, Kundapura Taluk of Udupi District of Karnataka. Kollur River is tributaries of Chakra and Souparnika Rivers. The problem of seawater getting mixed with underground water tables has become acute in many gram panchayats like Maravanthe and Senapura, located near the seashore. Villages like Vandse and Chittur, situated some distance away from the sea, have another problem on hand. The drinking water sources of these villages have dried up due to the depletion of the water table. To understand the hydrology of this complex landscape, the SWAT-CUP model was calibrated and validated using the SUFI-2, considering 14 important hydrologic parameters based on literature sources. The SUFI-2 tool employs stochastic calibration, which recognizes and expresses model errors and uncertainties as ranges account for all underlying variables, conceptual framework, parameters, and observed values. Our watershed model has eight sub-basins and 126 Hydrological Response Units (HRU) to simulate hydrological processes. Climate data from 2007 to 2021 revealed that the most precipitation occurred from June to September, with a maximum of 789 mm in June and a low of 0 mm in January. The hydrographs of 95 PPU plots were obtained from single iterations (500 simulations). The p-factor and r-factor were found to be 0.15 and 1.59, respectively. The accuracy of the simulation findings between observed and model-generated streamflow values was satisfactory. The SWAT-CUP enhanced streamflow models by lowering parameter uncertainty. It can be concluded that less sensitive parameters require more time to reduce the uncertainty than more sensitive values due to wider confidential intervals.

Multi-Site Calibration and Validation of SWAT Model for Hydrologic Modeling and Soil Erosion Estimation: A Case Study in El Grou Watershed, Morocco

Ait M'Barek Samir, Rochdi Aicha, Bouslihim Yassine, Miftah Abdelhalim

Ecological Engineering & Environmental Technology

2021

Vol. 22, iss. 6

45--52

Water management is one of the critical challenges facing humanity due to increasing demand and limited resources resulting from the rapid growth of population, urban planning, agricultural and industrial sectors. Hydrological modeling is one of the key solutions used by researchers for estimating and monitoring the spatial and temporal variability of water resources in a watershed. This paper aims to evaluate the Soil & Water Assessment Tool (SWAT) performances and simulates the water cycle components of El Grou watershed (3504 km2 ), one of the main basins in the landscape hydrology of Morocco. It points to the need for developmrent of better model input data sets in Africa which are unlimted available when they are crucial for a detailed study of water resources. The model was built under ArcSWAT, and all other processes such as sensitivity analysis, calibration (10 years) and validation (4 years) were done with SWAT-CUP software using the SUFI-2 algorithm. The coefficient of determination (R2), the Nash–Sutcliffe efficiency (NSE) and the square error (RSR) were used to evaluate model performances. The results show that calibration and validation are considered very good, with R2 and NSE >0.81 and RSR <0.5. The hydrological regime of the El Grou watershed points out a predominance of evapotranspiration (75%). Moreover, soil erosion estimation for the period (2000–2015) indicates a low to medium potential of soil erosion with an average of 11.3 t/ha/year.

Hydrological stream flow modeling in the Talar catchment (central section of the Alborz Mountains, north of Iran): Parameterization and uncertainty analysis using SWAT-CUP

Gholami A., Habibnejad Roshan M., Shahedi K., Vafakhah M., Solaymani K.

Journal of Water and Land Development

2016

no. 30

57--69

There are several methods and techniques for measuring the parameters and forecasting the errors in the hydrological models. In this study, semi distributed Soil and Water Asseeement Tool (SWAT) model and SWAT-CUP (CUP – Calibration and Uncertainty Programs) have been applied using SUFI2 program. After collection of data, the whole Talar watershed located in the central section of the Alborz Mountains, north of Iran was separated into 219 hydrological response units (HRU) in 23 sub-watersheds. In order to improve the simulation parameters and obtain better correlation of observed and simulated values, the sensitive parameters were validated to obtain finally the acceptable value of both R2 and Nash–Sutcliffe (NS) coefficients equal to 0.93. Final P-value and t-state were also estimated for sensitive parameters. As a result, the CN2 parameter, which was critical in the initial stage of this research was replaced by the SOL-K parameter (electrical conductivity saturated soil layers) as a critical parameter in the later stage. Results of this study show that the SWAT model can be an effective and useful tool for the assessment and optimal management of water and soil resources.

Istnieje kilka metod i technik pomiaru parametrów oraz przewidywania błędów w modelach hydrologicznych. W prezentowanej pracy zastosowano modele SWAT i SWAT-CUP z użyciem programu SUFI2. Po zgromadzeniu danych cała zlewnia rzeki Talar, zlokalizowana w środkowej części gór Alborz w północnym Iranie, została podzielona na 219 jednostek hydrologicznych (HRU) w 23 podzlewniach. W celu usprawnienia parametrów symulacji oraz lepszego powiązania wartości symulowanych i obserwowanych zweryfikowano parametry wrażliwe, co w efekcie doprowadziło wartości R2 i współczynnika Nasha– Sutcliffa (NS) do akceptowalnej wartości 0,93. Dla tych parametrów ustalono także końcowe wartości P i t. W wyniku przeprowadzonej analizy parametr CN2, krytyczny na wstępnym etapie badań, został zastąpiony parametrem SOL-K (przewodnictwo elektrolityczne nasyconej warstwy gleby). Wyniki badań świadczą, że model SWAT może być wydajnym i użytecznym narzędziem w ocenie oraz optymalnym zarządzaniu zasobami wody i gleby.