Abstract
Algal blooms are increasing in coastal waters worldwide. The study on the features of algal pollution in water bodies and the ways to eliminate them is of vital importance. Preventing, treating, and monitoring algal blooms can be an unanticipated cost for a water system. To tame algal bloom in a lake, the government provides funds through budget allocation. In this paper, we propose a mathematical model to investigate the effect of budget allocation on the control of algal bloom in a lake. We assume that the growth of budget follows logistic law and also increases in proportion to the algal density in the lake. A part of the budget is utilized for the control of inflow of nutrients, while the remaining is used in the removal of algae from the lake. Our results show that algal bloom can be mitigated from the lake by reducing the inflow rate of nutrients to a very low value, which can be achieved for very high efficacy of budget allocation for the control of nutrients inflow from outside sources. Also, increasing the efficacy of budget allocation for the removal of algae helps to control the algal bloom. Further, more budget should be used on the control of nutrient’s inflow than on the removal of algae, as the presence of nutrients in high concentration will immediately proliferate the growth of algae. Moreover, the combined effects of controlling the inflow of nutrients and removing algae at high rates will result in nutrients and algae-free aquatic environment. Further, we modify the model by considering a discrete time delay involved in the increment of budget due to increased density of algae in the lake. We observe that chaotic oscillations may arise via equilibrium destabilization on increasing the values of time delay. We apply basic tools of nonlinear dynamics such as Poincaré section and maximum Lyapunov exponent to confirm the chaotic behavior of the system.
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Acknowledgements
The authors express their gratitude to the associate editor and the reviewers whose comments and suggestions have helped the improvements in this paper.
Funding
Research work of Rajesh Kumar Singh is supported by University Grants Commission, Government of India, New Delhi, in the form of Senior Research Fellowship (No. 20/12/2015(ii)EU-V). Pankaj Kumar Tiwari is thankful to University Grants Commissions, New Delhi, India, for providing financial support in form of D. S. Kothari postdoctoral fellowship (No.F.4-2/2006 (BSR)/MA/17-18/0021). The work of Yun Kang is partially supported by NSF-DMS (1313312 & 1716802); NSF-IOS/DMS (1558127), DARPA (ASC-SIM II), and The James S. McDonnell Foundation 21st Century Science Initiative in Studying Complex Systems Scholar Award (UHC Scholar Award 220020472).
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Appendix
Appendix
1.1 Appendix A
Components of the equilibrium \(E^*\) are given by
and \(A^*\) is a positive root of \(G(A)=0\), where
We note the following properties of G:
which is positive provided condition (9) holds.
- (ii):
At \(\displaystyle \overline{A}=\frac{Q\theta _1}{\alpha _1(1-\pi _1\theta _1)}>0,\) we have
$$\begin{aligned}&G(\overline{A})=-\frac{Q\nu _1k_1K(r+\gamma \overline{A})}{pr+k_1K(r+\gamma \overline{A})}-\,\frac{\alpha _2\nu _2K(1-k_1)\overline{A}(r+\gamma \overline{A})}{\theta _1[qr+K(1-k_1)(r+\gamma \overline{A})]}\\&-\,\frac{\beta _{12}\alpha _0[\alpha _1qr+K(1-k_1)(\alpha _1+\alpha _2\nu _2)(r+\gamma \overline{A})]}{(\theta _1\beta _1-\beta _{11}\alpha _1)qr+K(1-k_1)\{\theta _1\beta _1-\beta _{11}(\alpha _1+\alpha _2\nu _2)\}(r+\gamma \overline{A})}<0. \end{aligned}$$- (iii):
Also, we have
$$\begin{aligned}&\frac{\mathrm{d}G}{\mathrm{d}A}=-\frac{\alpha _1(1-\pi _1\theta _1)}{\theta _1}-\frac{Q\nu _1k_1Kpr\gamma }{[pr+k_1K(r+\gamma A)]^2}-\,\frac{\alpha _2\nu _2K(1-k_1)[qr(r+2\gamma A)+K(1-k_1)(r+\gamma A)^2]}{\theta _1[qr+K(1-k_1)(r+\gamma A)]^2}\\&-\,\frac{\beta _{12}\alpha _0\theta _1\beta _1\alpha _2\nu _2qrK\gamma (1-k_1)}{[(\theta _1\beta _1-\beta _{11}\alpha _1)qr+K(1-k_1)(r+\gamma A)\{\theta _1\beta _1-\beta _{11}(\alpha _1+\alpha _2\nu _2)\}]^2}<0. \end{aligned}$$
In view of the above three points, Eq. (31) has exactly one positive root (say \(A^*\)) in the interval \((0,\overline{A})\) if condition (9) holds. For this positive value \(A^*\) of A, we get the positive value \(M^*\) of M from Eq. (29). Also, we get the positive value \(N^*\) of N from Eq. (30) provided condition (10) holds.
1.2 Appendix B
Jacobian of system (5) is given by
where
- 1.
Evaluating Jacobian J at the equilibrium \(E_0\) gives the eigenvalues
$$\begin{aligned} -\alpha _0, \ \frac{\theta _1\beta _1Q}{\beta _{12}\alpha _0+\beta _{11}Q}-\alpha _1, \ r. \end{aligned}$$Since one eigenvalue is always positive, the equilibrium \(E_0\) is always unstable in M-direction irrespective of the signs of the other two eigenvalues.
- 2.
Evaluation of Jacobian J at the equilibrium \(E_1\) leads to the eigenvalues
$$\begin{aligned} -\alpha _0, \ \frac{\theta _1\beta _1N_1}{\beta _{12}+\beta _{11}N_1}-\alpha _1-\frac{\nu _2(1-k_1)K}{q+(1-k_1)K}, \ -r. \end{aligned}$$Note that the first and third eigenvalues are always negative and the second one is negative provided the opposite of condition (9) holds.
- 3.
Evaluation of Jacobian J at the equilibrium \(E_2\) immediately gives one eigenvalue \(r+\eta A_2\) while other two are given by roots of the following quadratic:
$$\begin{aligned}&\xi ^2+\xi \left( \alpha _0+\frac{\beta _1\beta _{12}A_2}{(\beta _{12}+\beta _{11}N_2)^2}\right) \nonumber \\&\quad +\,\alpha _1(1-\pi _1\theta _1)\frac{\beta _1\beta _{12}A_2}{(\beta _{12}+\beta _{11}N_2)^2}=0. \end{aligned}$$(32)Note that the feasibility of equilibrium \(E_2\) implies that the linear and constant terms in the characteristic equation (32) are always positive. Thus, according to Routh–Hurwitz criterion, roots of Eq. (32) are either negative or have negative real parts. Since one eigenvalue is always positive, the equilibrium \(E_2\) is always unstable in M-direction.
- 4.
Evaluation of Jacobian J at the equilibrium \(E^*\) leads to the following characteristic equation:
$$\begin{aligned} \xi ^3+C_1\xi ^2+C_2\xi +C_3=0, \end{aligned}$$(33)where
$$\begin{aligned} C_1= & {} \alpha _0+\frac{\beta _1\beta _{12}A^*}{(\beta _{12}+\beta _{11}N^*)^2}+\frac{rM^*}{K},\\ C_2= & {} \frac{rM^*}{K}\left( \alpha _0+\frac{\beta _1\beta _{12}A^*}{(\beta _{12}+\beta _{11}N^*)^2}\right) \\&+\,\frac{q\alpha _2\nu _2\gamma A^*M^*(1-k_1)}{(q+(1-k_1)M^*)^2}\\&+\,\frac{\theta _1\beta _1\beta _{12}A^*}{(\beta _{12}+\beta _{11}N^*)^2}\left[ \frac{\beta _1N^*}{\beta _{12}+\beta _{11}N^*}-\pi _1\alpha _1\right] ,\\ C_3= & {} \frac{q\alpha _2\nu _2\gamma A^*M^*(1-k_1)}{(q+(1-k_1)M^*)^2}\left( \alpha _0+\frac{\beta _1\beta _{12}A^*}{(\beta _{12}+\beta _{11}N^*)^2}\right) \\&+\,\frac{rM^*}{K}\frac{\theta _1\beta _1\beta _{12}A^*}{(\beta _{12}+\beta _{11}N^*)^2}\left[ \frac{\beta _1N^*}{\beta _{12}+\beta _{11}N^*}-\pi _1\alpha _1\right] \\&+\,\frac{Qp\nu _1k_1\gamma M^*}{(p+k_1M^*)^2}\frac{\theta _1\beta _1\beta _{12}A^*}{(\beta _{12}+\beta _{11}N^*)^2}. \end{aligned}$$Clearly, \(C_1>0\) and \(C_2>0\). Employing Routh–Hurwitz criterion, the roots of Eq. (33) are either negative or have negative real parts if and only if the condition (12) is satisfied.
1.3 Appendix C
The second additive compound matrix of Jacobian of the system (5) at equilibrium \(E^*\) is given by
where
Let \(\displaystyle |X|_\infty =\sup _i|X_i|.\) The logarithmic norm \(\nu _\infty (J^{[2]})\) of \(J^{[2]}\) endowed with the vector norm \(|X|_\infty \) is the supremum of \(a_{11}+|a_{23}|+|a_{13}|\), \(|a_{32}|+a_{11}+a_{33}+|a_{12}|\) and \(|a_{21}|+a_{33}\).
Now, \(a_{11}+|a_{23}|+|a_{13}|<0\) if
similarly \(a_{11}+a_{33}+|a_{32}|+|a_{12}|<0\) if
also, \(a_{33}+|a_{21}|<0\) if
Following [37], system (5) has no periodic solution around the equilibrium \(E^*\) provided condition (15) is satisfied.
1.4 Appendix D
Jacobian of system (16) is given by
where
- 1.
Evaluating the Jacobian \(\overline{J}\) at the equilibrium \(\overline{E}_0\) gives the eigenvalues \(-\alpha _0\), \(-\alpha _1\), and r. Since one eigenvalue is always positive, the equilibrium \(\overline{E}_0\) is always unstable.
- 2.
Evaluation of Jacobian \(\overline{J}\) at the equilibrium \(\overline{E}_1\) leads to the eigenvalues
$$\begin{aligned} -\alpha _0, \ -\left( \alpha _1+\frac{\nu _2(1-k_1)K}{q+(1-k_1)K}\right) , \ -r. \end{aligned}$$Since the eigenvalues are negative, the equilibrium \(\overline{E}_1\) is unconditionally stable.
- 3.
At the equilibrium \(\overline{E}_2\), one eigenvalue of \(\overline{J}\) is immediately obtained as \(r+\gamma \overline{A}_2\), whereas two can be obtain as roots of the equation
$$\begin{aligned}&\xi ^2+\xi \left( \alpha _0+\frac{\beta _1\beta _{12}\overline{A}_2}{(\beta _{12}+\beta _{11}\overline{A}_2)^2}\right) \nonumber \\&\quad +\,\frac{\theta _1\beta _1\beta _{12}\overline{A}_2}{(\beta _{12}+\beta _{11}\overline{N}_2)^2}\left[ \frac{\beta _1\overline{N}_2}{\beta _{12}+\beta _{11}\overline{N}_2}-\pi _1\alpha _1\right] =0.\nonumber \\ \end{aligned}$$(34)Since one eigenvalue is positive, the equilibrium is unstable irrespective of the signs of roots of Eq. (34).
- 4.
Evaluation of Jacobian \(\overline{J}\) at the equilibrium \(\overline{E}^*\) leads to the following characteristic equation:
$$\begin{aligned} \xi ^3+D_1\xi ^2+D_2\xi +D_3=0, \end{aligned}$$(35)where
$$\begin{aligned} D_1= & {} \alpha _0+\frac{\beta _1\beta _{12}\overline{A}^*}{(\beta _{12}+\beta _{11}\overline{N}^*)^2}+\frac{r\overline{M}^*}{K},\\ D_2= & {} \frac{r\overline{M}^*}{K}\left( \alpha _0+\frac{\beta _1\beta _{12}\overline{A}^*}{(\beta _{12}+\beta _{11}\overline{N}^*)^2}\right) \\&+\,\frac{q\alpha _2\nu _2\gamma \overline{A}^*\overline{M}^*(1-k_1)}{(q+(1-k_1)\overline{M}^*)^2}\\&+\,\frac{\theta _1\beta _1\beta _{12}\overline{A}^*}{(\beta _{12}+\beta _{11}\overline{N}^*)^2}\left[ \frac{\beta _1\overline{N}^*}{\beta _{12}+\beta _{11}\overline{N}^*}-\pi _1\alpha _1\right] ,\\ D_3= & {} \frac{q\alpha _2\nu _2\gamma \overline{A}^*\overline{M}^*(1-k_1)}{(q+(1-k_1)\overline{M}^*)^2}\left( \alpha _0+\frac{\beta _1\beta _{12}\overline{A}^*}{(\beta _{12}+\beta _{11}\overline{N}^*)^2}\right) \\&+\,\frac{r\overline{M}^*}{K}\frac{\theta _1\beta _1\beta _{12}\overline{A}^*}{(\beta _{12}+\beta _{11}\overline{N}^*)^2} \left[ \frac{\beta _1\overline{N}^*}{\beta _{12}+\beta _{11}\overline{N}^*}-\pi _1\alpha _1\right] . \end{aligned}$$Clearly, \(D_1>0\). Hence, according to Routh–Hurwitz criterion, roots of Eq. (35) are either negative or have negative real parts if and only if conditions in (19) are satisfied.
1.5 Appendix E
Differentiating (23) with respect to \(\tau \), we get
This gives
Now,
Hence, it follows from the hypothesis (\(h_4\)) that \(\varPsi '(\omega ^2_{+})>0\) and \(\varPsi '(\omega ^2_{-})<0\). Thus, the transversality conditions are satisfied.
1.6 Appendix F
Without loss of generality, we denote anyone of the critical values \(\tau =\tau ^k\) (\(k=0,1,2,\cdots \)) by \(\widetilde{\tau }\) at which the characteristic equation (23) corresponding to the delay differential equation (20) has a pair of purely imaginary roots \(\pm i\omega _0\) and the system goes under Hopf bifurcation. Hence, for any root of characteristic equation of the form \(\xi (\tau )=v(\tau )+i\omega (\tau )\), \(v(\widetilde{\tau })=0\), \(\omega (\widetilde{\tau })=\omega _0\) and \(\displaystyle \frac{\mathrm{d}v}{\mathrm{d}\tau }\Big \vert _{\tau =\widetilde{\tau }}\ne 0.\)
We denote \(\tau \) as \(\tau =\widetilde{\tau }+\mu \), \(\mu \in \mathbb {R}\); so that \(\mu =0\) is Hopf bifurcation value for the system. Denote the space of continuous real-valued functions as \(C=C([-1,0],\mathbb {R}^3)\). Using the transformation \(u_1(t)=N(t)-N^*\), \(u_2(t)=A(t)-A^*\), \(u_3(t)=M(t)-M^*\), and \(x_i(t)=u_i(\tau t)\) (\(i=1,2,3\)); the delay system (20) transforms to the following differential equation
where \(x(t)=(x_1(t),x_2(t),x_3(t))^T\in C\), \(x_t(\varTheta )=x(t+\varTheta )\), \(\varTheta \in [-1,0]\) and \(L_\mu : \ C\rightarrow \mathbb {R}^3\) is given by
where \(R_1\) and \(R_2\) are matrices corresponding to linearize delay differential equation (22).
Further, \(\xi : \ [-1,0]\rightarrow \mathbb {R}^3\), \(\xi (t)=(\xi _1(t),\xi _2(t),\xi _3(t))^T\) and
where
with
where \(A_1=A(t-\tau )\) and
Then, \(L_\mu \) is a continuous linear function mapping \(C([-1,0],\mathbb {R}^3)\) into \(\mathbb {R}^3\).
By the Riesz representation theorem, there exists a matrix (function) \(\eta (\varTheta ,\mu )\) whose components are of bounded variation for \(\varTheta \in [-1,0]\) such that
In view of Eq. (37), we can choose
where \(\delta (\varTheta )\) is the Dirac delta function.
For \(\xi \in C^1([-1,0],\mathbb {R}^3)\), we define
and
Then, the system (36) is equivalent to
where \(x_t(\varTheta )=x(t+\varTheta )\) for \(\varTheta \in [-1,0]\).
The adjoint operator \(B^*\) of B is defined by
associated with a bilinear form
where \(\eta (\varTheta )=\eta (\varTheta ,0)\). Then, B(0) (from here onward we shall refer B(0) by B) and \(B^*\) are adjoint operators. Since \(\pm i\omega _0\widetilde{\tau }\) are the eigenvalues of B, they are also eigenvalues of \(B^*\). We need to compute eigenvectors of B and \(B^*\) corresponding to \(+i\omega _0\widetilde{\tau }\) and \(-i\omega _0\widetilde{\tau }\), respectively.
Suppose \(q(\varTheta )=(d_1,1,d_2)^Te^{i\omega _0\widetilde{\tau }\varTheta }\) be the eigenvector of B corresponding to eigenvalue \(i\omega _0\widetilde{\tau }\), then
For \(\varTheta =0\), this gives
Solving the system of Eq. (46), we get
Similarly, we can calculate \(q^*(y)=D(d^*_1,1,d^*_2)e^{i\omega _0\widetilde{\tau }y}\) such that
We get,
Now, we need to determine the value of D such that \(\langle {q^*(p),q(\varTheta )}\rangle =1\). Using (44), we have
After some calculations, we get
Thus, D is chosen such that
Moreover, we can verify that \(\langle {q^*(p),\overline{q(\varTheta )}}\rangle =0\).
Proceeding as in Hassard et al. [29] and using the same notation, we compute the coordinates to describe the center manifold \(C_0\) at \(\mu =0\). Let \(x_t\) be solution of Eq. (42) when \(\mu =0\). Define,
On the center manifold \(C_0\), we have
where
z and \(\overline{z}\) are local coordinates for center manifold \(C_0\) in the direction of \(q^*\) and \(\overline{q}^*\), respectively. Note that W is real if \(x_t\) is real; we consider only real solutions. Since \(\mu =0\), for solution \(x_t\in C_0\) of Eq. (42), we have
We rewrite this equation as
where
From (49) and (51), it follows that
so that
Thus, we have
From the definition of \(F(\mu ,\phi )\), we have
where
Using the expressions for \(x_{1t}(0)\), \(x_{2t}(0)\), and \(x_{3t}(0)\) from (58) in (59) and comparing the coefficients of \(z^2\), \(z\overline{z}\), \(\overline{z}^2\), and \(z^2\overline{z}\) of the resulting expression with those in (55), we get
and
In order to compute \(g_{21}\), we need to compute \(W_{20}(\varTheta )\) and \(W_{11}(\varTheta )\). From Eqs. (49) and (52), we have
where
Also, on the center manifold \(C_0\) near the origin,
From Eqs. (54), (61) and (63), it follows that
Now, for \(\varTheta \in [-1,0)\), we have
which on comparing the coefficients with (62) gives
From Eqs. (64) and (67), and the definition of B(0), we have
Note that \(q(\varTheta )=q(0)e^{i\omega _0\widetilde{\tau }\varTheta }\), hence
Similarly, from Eqs. (65) and (68), and the definition of B(0), we have
which gives
where \(E_1=(E^{(1)}_1,E^{(2)}_1,E^{(3)}_1)\) and \(E_2=(E^{(1)}_2,E^{(2)}_2,E^{(3)}_2)\in \mathbb {R}^3\) are constant vectors to be determined. It follows from Eq. (64) and the definition of B(0) that
From Eqs. (60) and (62), we get
and
Using Eqs. (70) and (75) in Eq. (73), and noting that \(q(\varTheta )\) is eigenvector of B(0), we have
i.e.,
Similarly, using Eqs. (72) and (76) in Eq. (74), we get
Now, we solve systems (78) and (79) for \(E_1\) and \(E_2\), as follows.
Let
then
Similarly, let
then
Using these values, we determine \(W_{20}\) and \(W_{11}\) and hence \(g_{21}\). Now, to determine the direction, stability, and period of bifurcating periodic solutions of system (20) at the critical value \(\tau =\widetilde{\tau }\), we compute the following quantities:
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Misra, A.K., Singh, R.K., Tiwari, P.K. et al. Dynamics of algae blooming: effects of budget allocation and time delay. Nonlinear Dyn 100, 1779–1807 (2020). https://doi.org/10.1007/s11071-020-05551-4
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DOI: https://doi.org/10.1007/s11071-020-05551-4