Impacts of transpiration of agricultural crops and seeding on rainfall: Implications from a mathematical model

Amita Tripathi, Pankaj Kumar Tiwari, Arvind Kumar Misra, Yun Kang

    Research output: Contribution to journalArticlepeer-review


    As the source of replenishment, rainfall has an extensive impact because its variability shapes biologically efficient pulses of soil moisture recharge across layers from rainfall events. In this paper, a mathematical model is proposed to explore the importance of transpiration from agricultural crops and aerosols on the pattern of rainfall. For the system without seeding, the simulation results show destabilizing roles of parameters related to formation of cloud drops due to transpiration of agricultural crops, formation of raindrops due to cloud drops and growth of agricultural crops due to rain. The model without seeding is extended to its stochastic counterpart to encapsulate the uncertainty observed in some important parameters. We observe the variability in the system's variables and found their distributions at certain fixed times, which explore the importance of stochasticity in the system. Our findings show that transpiration through agricultural crops plays an important role in cloud formation, and thus, affects the effectiveness of different rainfall events. Moreover, the combined actions of transpiration and seeding are much more beneficial in producing rain. Finally, we see the behavior of system by considering seasonal variations of some rate parameters.

    Original languageEnglish (US)
    Article number2250028
    JournalInternational Journal of Biomathematics
    Issue number5
    StatePublished - Jul 1 2022


    • Deterministic and stochastic model
    • Rainfall
    • Seasonality
    • Seeding
    • Sensitivity analysis
    • Transpiration

    ASJC Scopus subject areas

    • Modeling and Simulation
    • Applied Mathematics


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