Subsurface nutrient modelling using finite element model under Boro rice cropping system

Ayushi Gupta, Manika Gupta, Prashant K. Srivastava (), Avijit Sen and Ram Kumar Singh
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Ayushi Gupta: Banaras Hindu University
Manika Gupta: University of Delhi
Prashant K. Srivastava: Banaras Hindu University
Avijit Sen: Banaras Hindu University
Ram Kumar Singh: Banaras Hindu University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 8, No 34, 11837-11858

Abstract: Abstract Boro rice, an emerging low-risk crop variety of rice, cultivated using residual or stored water after Kharif season. To enhance the quality and production of rice, potassium (K) and phosphorus (P) are the common constituents of agricultural fertilizers. However, excess application of fertilizers causes leaching of nutrients and contaminates the groundwater system. Therefore, assessment and optimization of fertilizer dose are needed for better management of fertilizers. Towards this, the present study determines the path, persistence, and mobility of K and P under the Boro rice cropping system. The experimental site consisted of four plots having Boro rice with four different fertilizer doses of nitrogen (N), P, K viz. 100%, 75%, 50%, and 25% of the recommended dose. Disturbed soil samples were analysed for K and P from pre-sown land to tillering stage at 0–5, 5–10, 10–15, 15–30, 30–45, and 45–60 cm depths. Simultaneously, K and available P were also simulated in the subsurface soil layers through the HYDRUS-1D model. The statistical comparisons were made with RMSER, E, and PBIAS between the modelled values and laboratory-measured values. Although, the results showed that all the treatments considered had agreeable simulations for both K and P, the K simulations were found to be better as compared to P simulations except for 25% where P simulations outperformed K. The simulated concentration at all doses was found most appropriate when measured for the subsurface layers (up to 45 cm), while showed an underestimation in the bottom layers (45–60 cm) of soil.

Keywords: HYDRUS-1D; Boro rice; Subsurface modelling; Optimization (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-020-01144-8

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