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A Novel Embedded Pothole Module for Soil and Water Assessment Tool (SWAT) Improving Streamflow Estimation in Paddy-Dominated Catchments
Journal of Hydrology ( IF 6.4 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.jhydrol.2020.125103
Sonam Sandeep Dash , Bhabagrahi Sahoo , Narendra Singh Raghuwanshi

Abstract For rainfall-runoff modelling in the river-reservoir integrated catchment-command areas, the use of the Soil and Water Assessment Tool (SWAT-2012) is limited due to improper description of crop-field dynamics in the model framework. To model the dominant paddy-field hydrology in most of the catchments in Asian countries with tropical monsoon-type climatology, SWAT couples a pothole module in place of the conventional Curve Number (CN) approach. Although few pothole modules exist in the literature, their conceptual frameworks have a number of calibration parameters which could generally increase the model uncertainty with the underestimation of high flows and overestimation of low flows. To account for the physical dynamics of water transport in paddy fields, in the rainfall-runoff transformation process of a catchment, this study advocates an enhanced pothole approach integrated with the SWAT considering the sub-surface soil moisture movement under ponding and drying soil conditions, evapotranspiration flux under alternate wetting and moisture stress conditions, and contribution of irrigation return flow from the paddy fields. Subsequently, the enhanced SWAT-Pothole approach (SWAT-EP) was evaluated in the Kangsabati River catchment-reservoir-command (12,014.70 km2) in the eastern India. The results reveal that the proposed enhanced model performed the best as compared to the existing SWAT-Pothole approaches and the conventional SWAT-CN approach in modeling the catchment response and evapotranspiration flux. Moreover, the proposed approach is more parsimonious, with 17 numbers of initial calibration parameters as compared to 25 parameters in the existing ones. The performance evaluation measures and quantile regression based uncertainty analysis reveal that the proposed SWAT-EP pothole model has the best performance in reproducing both the high and low flow estimates, actual evapotranspiration, as well as overall streamflow hydrodynamics with a scope of wider applicability in many world-river catchments.

中文翻译:

一种用于土壤和水评估工具 (SWAT) 的新型嵌入式坑洼模块,可改进以稻谷为主的流域的流量估算

摘要 对于河流-水库综合集水区-指挥区的降雨-径流建模,由于模型框架中作物-田间动态描述不当,Soil and Water Assessment Tool (SWAT-2012) 的使用受到限制。为了用热带季风型气候学模拟亚洲国家大多数集水区的主要稻田水文模型,SWAT 使用坑洼模块代替传统的曲线数 (CN) 方法。尽管文献中存在很少的坑洼模块,但它们的概念框架具有许多校准参数,这些参数通常会增加模型的不确定性,低估高流量和高估低流量。为了说明在集水区降雨-径流转化过程中稻田水分输送的物理动力学,本研究提倡一种与 SWAT 相结合的增强型坑洼方法,考虑到积水和干燥土壤条件下的地下土壤水分运动、交替湿润和水分胁迫条件下的蒸散通量以及来自稻田的灌溉回流的贡献。随后,在印度东部的康萨巴蒂河集水区水库指挥部(12,014.70 平方公里)对增强型 SWAT-Pothole 方法 (SWAT-EP) 进行了评估。结果表明,与现有的 SWAT-Pothole 方法和传统的 SWAT-CN 方法相比,所提出的增强模型在模拟集水区响应和蒸散通量方面表现最佳。此外,所提出的方法更加简洁,与现有方法中的 25 个参数相比,初始校准参数有 17 个。
更新日期:2020-09-01
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