TY - JOUR
T1 - Impacts of transpiration of agricultural crops and seeding on rainfall
T2 - Implications from a mathematical model
AU - Tripathi, Amita
AU - Tiwari, Pankaj Kumar
AU - Misra, Arvind Kumar
AU - Kang, Yun
N1 - Publisher Copyright:
© 2022 World Scientific Publishing Company.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - 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.
AB - 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.
KW - Deterministic and stochastic model
KW - Rainfall
KW - Seasonality
KW - Seeding
KW - Sensitivity analysis
KW - Transpiration
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U2 - 10.1142/S1793524522500280
DO - 10.1142/S1793524522500280
M3 - Article
AN - SCOPUS:85124097708
SN - 1793-5245
VL - 15
JO - International Journal of Biomathematics
JF - International Journal of Biomathematics
IS - 5
M1 - 2250028
ER -