A PIECEWISE LUCAS COLLOCATION METHOD FOR A DELAYED WILDFIRE MODEL


Baykuş Savaşaneril N.

16th International Azerbaijan Congress on Life, Engineering, Mathematical, and Applied Sciences, Baku, Azerbaijan, 20 - 22 September 2026, pp.498-507, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • City: Baku
  • Country: Azerbaijan
  • Page Numbers: pp.498-507
  • Dokuz Eylül University Affiliated: Yes

Abstract

A reduced nonlinear delay differential equation (DDE) model is proposed for wildfire evolution under

delayed and time-dependent suppression. The model couples normalized fire intensity, combustible fuel,

effective suppression capacity, and a cumulative fire-impact index through a fire-memory delay and a

suppression-response delay. To handle delay- and event-induced losses of regularity, a low-degree

piecewise Lucas polynomial collocation scheme on delay- and event-aligned subintervals is developed.

For the nonlinear verification problem, the piecewise scheme with 𝑁𝑁 = 6 and ℎ = 0.25 attains a

maximum error of 1.09 × 10−9, whereas Newton iteration for the global Lucas expansion does not

converge at 𝑁𝑁 = 12. A 768-case ignition-phase–suppression-delay experiment, computed with a

verified RK4 method-of-steps solver, shows that under a synthetic day–night availability cycle the effect

of suppression delay depends on the ignition phase; over a 6-h horizon the integrated fire intensity varies

by a factor of 3.086 across the design grid. The results are synthetic-design outcomes rather than

calibrated estimates for a specific wildfire event.