SWAT model calibration approaches in an integrated paddy-dominated catchment-command

Sonam Sandeep Dash, Bhabagrahi Sahoo and Narendra Singh Raghuwanshi

Agricultural Water Management, 2023, vol. 278, issue C

Abstract: The applicability of Soil and Water Assessment Tool (SWAT) for rainfall-runoff modelling in the river-reservoir integrated catchment-command areas is limited due to the limited description of paddy-field dynamics. To model the dominant paddy-field hydrology in most of the catchments of Asian countries with tropical monsoon type climatology, the popular SWAT couples a pothole module in place of the conventional Curve Number (CN) approach. Although few pothole approaches are existing in the literature, the efficacy of these modules have not been evaluated for catchment-scale applications. Moreover, the existing pothole modules are more conceptual in nature with many calibration parameters, that could yield erroneous outcomes in catchment-scale applications. To address these issues, the applicability of the pothole module was assesses and evaluated in a 12,014.70 km2 river catchment-reservoir command iof eastern India. The simulation results reveal that for streamflow generation, the revised pothole approach performed the best with the NSE of 0.62, followed by the CN approach (NSE=0.60) and the original pothole approach (NSE=0.59). The water balance analysis resulted small evapotranspiration (ET) values (0.01 mm/day) for the CN approach and existing approach-based model simulation. The daily streamflow prediction uncertainty was the highest in case of existing pothole approach with R-factor estimate of 0.73, followed by 0.58 and 0.56 in case of CN approach and revised pothole approach, respectively. Overall, the CN approach performs better in case of rain fed paddy field, whereas the revised pothole approach simulates the daily-scale streamflow better in the irrigated paddy conditions.

Keywords: Paddy field; Pothole; SWAT; Uncertainty analysis; Water balance (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377423000033
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:278:y:2023:i:c:s0378377423000033

DOI: 10.1016/j.agwat.2023.108138

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().