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Pollution with chemical activity. Consider the concentration, \(C(t)\), of some pollutant chemical in a lake. Suppose that polluted water with concentration \(c_{i}\) flows into the lake with a flow rate of \(F\) and the well-stirred mixture leaves the lake at the same rate \(F .\) In addition, suppose some chemical agent is present in the lake that breaks down the pollution at a rate \(r \mathrm{~kg} /\) day per \(\mathrm{kg}\) of pollutant. Assuming that the volume of mixture in the lake remains constant and the chemical agent is not used up, formulate (but do not solve) a mathematical model as a single differential equation for the pollution concentration \(C(t)\).

Short Answer

Expert verified
The differential equation is \( \frac{dC}{dt} = F c_i - (F + r) C(t) \).

Step by step solution

01

Understand the inflow and outflow balances

The pollutant concentration entering the lake is given by \( c_i \) with a flow rate \( F \). This means that the rate of pollutant entering the lake is \( F \cdot c_i \). The outflow concentration is \( C(t) \), and given the outflow rate is also \( F \), the rate of pollutant leaving the lake is \( F \cdot C(t) \).
02

Account for chemical degradation

The chemical agent present in the lake breaks down the pollution at a rate \( r \) kg/day per kg of pollutant. This means the degradation rate is proportional to the current concentration \( C(t) \) in the lake, specifically given by \( r \cdot C(t) \).
03

Formulate the differential equation

The rate of change of the concentration in the lake, \( \frac{dC}{dt} \), is the difference between the inflow rate of pollution and both the outflow rate and the degradation rate. Thus, the equation can be represented as:\[ \frac{dC}{dt} = F \cdot c_i - F \cdot C(t) - r \cdot C(t) \]
04

Simplify the differential equation

Combine the terms involving \( C(t) \). The simplified form of the differential equation is:\[ \frac{dC}{dt} = F \cdot c_i - (F + r) \cdot C(t)\]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Pollution Management
Understanding pollution management involves examining how pollutants behave and are eliminated from environments such as lakes. In our exercise, we consider a lake where water with a pollutant flows into and out at the same rate, helping us to understand the balance and treatment of pollutants. This balance is vital because it determines whether the concentration of pollutants will rise or fall over time. The goal of pollution management is to minimize or eliminate harmful chemicals in water bodies, ensuring a healthier ecosystem.
By modeling these interactions, we can predict the pollutants' behavior and implement measures to control or reduce their impact. In practice, this may include enhancing the breakdown of pollutants through chemical agents, as illustrated in the exercise. Effective pollution management sees the integration of science and policy, utilizing mathematical models to help inform decision-making processes. Through strategic interventions, we can protect water resources, promoting sustainable use while aiding the restoration of environments affected by pollution.
Chemical Reaction Rates
Chemical reactions play a crucial role in determining how quickly a pollutant's concentration decreases in a lake. The exercise discusses a chemical agent that breaks down pollutants, emphasizing the importance of reaction rates. These rates tell us how fast a reaction takes place, which, in this scenario, stands for how quickly the pollutant is degraded.
The rate at which a pollutant is broken down is often proportional to the concentration of the pollutant present. This is expressed in the equation part of the exercise through terms like \(r \cdot C(t)\), where \(r\) is the reaction rate. This formulation implies that higher concentrations of pollutants will degrade more quickly in the presence of a sufficient chemical agent.
Understanding these rates is critical as they help in planning pollution management strategies. By adjusting the concentration of chemical agents or modifying the environment to enhance reaction rates, we can improve efficiency in cleaning polluted water bodies. Predicting chemical reaction rates allows for better resource allocation and enhanced strategies to minimize pollutant levels.
Mathematical Modelling
Mathematical modelling provides a powerful tool for understanding and predicting the behavior of complex systems, such as pollution in a lake. In our exercise, the mathematical model is framed as a differential equation, which quantifies changes in pollutant concentration over time. This approach allows us to encapsulate all significant factors affecting the pollution levels, providing insights into both inflow and outflow dynamics.
The formulation starts by determining how much pollutant enters and leaves the lake. Subsequently, it incorporates how pollutants are broken down chemically. The role of mathematical models is to offer a simplified representation of reality, capturing the essential features of the system under study.
  • They facilitate predictions of how systems will respond to different conditions and interventions.
  • In the context of our exercise, they help estimate future pollutant concentrations, guiding pollution management policies.
Mathematical modeling requires the formulation of conceptual and computational models that can be adjusted and validated against real-world data. Through iterative process and improvements, these models become instrumental in aiding the decision-making process for environmental health and sustainability.

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Most popular questions from this chapter

If an archaeologist uncovers a seashell which contains \(60 \%\) of the \({ }^{14} \mathrm{C}\) of a living shell, how old do you estimate that shell, and thus that site, to be? (You may assume the half-life of \({ }^{14} C\) to be 5,568 years.

North American lake system. Consider the American system of two lakes: Lake Erie feeding into Lake Ontario. What is of interest is how the pollution concentrations change in the lakes over time. You may assume the volume in each lake to remain constant and that Lake Erie is the only source of pollution for Lake Ontario. (a) Write a differential equation describing the concentration of pollution in each of the two lakes, using the variables \(V\) for volume, \(F\) for flow, \(c(t)\) for concentration at time \(t\) and subscripts 1 for Lake Erie and 2 for Lake Ontario. (b) Suppose that only unpolluted water flows into Lake Erie. How does this change the model proposed? (c) Solve the system of equations to get expressions for the pollution concentrations \(c_{1}(t)\) and \(c_{2}(t)\) (d) Set \(T_{1}=V_{1} / F_{1}\) and \(T_{2}=V_{2} / F_{2}\), and then \(T_{1}=k T_{2}\) for some constant \(k\) as \(V\) and \(F\) are constants in the model. Substitute this into the equation describing pollution levels in Lake Ontario to eliminate \(T_{1}\). Then show that, with the initial conditions \(c_{1,0}\) and \(c_{2,0}\), the solution to the differential equation for Lake Ontario is $$ c_{2}(t)=\frac{k}{k-1} c_{1,0}\left(e^{-t /\left(k T_{2}\right)}-e^{-t / T_{2}}\right)+c_{2,0} e^{t / T_{2}} $$ (One way of finding the solution would be to use an integrating factor. See Appendix A.4.) (e) Compare the effects of \(c_{1}(0)\) and \(c_{2}(0)\) on the solution \(c_{2}(t)\) over time.

(From Borelli and Coleman (1996).) Olduvai Gorge, in Kenya, cuts through volcanic flows, tuff (volcanic ash), and sedimentary deposits. It is the site of bones and artefacts of early hominids, considered by some to be precursors of man. In 1959, Mary and Louis Leakey uncovered a fossil hominid skull and primitive stone tools of obviously great age, older by far than any hominid remains found up to that time. Carbon-14 dating methods being inappropriate for a specimen of that age and nature, dating had to be based on the ages of the underlying and overlying volcanic strata. The method used was that of potassium-argon decay. The potassium-argon clock is an accumulation clock, in contrast to the \({ }^{14} \mathrm{C}\) dating method. The potassium-argon method depends on measuring the accumulation of 'daughter' argon atoms, which are decay products of radioactive potassium atoms. Specifically, potassium- \(40\left({ }^{40} \mathrm{~K}\right)\) decays to argon \(\left({ }^{40} \mathrm{Ar}\right)\) and to Calcium- 40 \(\left({ }^{40} \mathrm{Ca}\right)\) by the branching cascade illustrated below in Figure 2.17. Potassium decays to calcium by emitting a \(\beta\) particle (i.e. an electron). Some of the potassium atoms, however, decay to argon by capturing an extra-nuclear electron and emitting a \(\gamma\) particle. The rate equations for this decay process may be written in terms of \(K(t), A(t)\) and \(C(t)\), the potassium, argon and calcium in the sample of rock: $$ \begin{aligned} &K^{\prime}=-\left(k_{1}+k_{2}\right) K \\ &A^{\prime}=k_{1} K \\ &C^{\prime}=k_{2} K \end{aligned} $$ where $$ k_{1}=5.76 \times 10^{-11} \text { year }^{-1}, \quad k_{2}=4.85 \times 10^{-10} \text { year }^{-1} \text { . } $$ (a) Solve the system to find \(K(t), A(t)\) and \(C(t)\) in terms of \(k_{1}, k_{2}\), and \(k_{3}=k_{1}+k_{2}\), using the initial conditions \(K(0)=k_{0}, A(0)=C(0)=0 .\) (b) Show that \(K(t)+A(t)+C(t)=k_{0}\) for all \(t \geq 0 .\) Why would this be the case? (c) Show that \(K(t) \rightarrow 0, A(t) \rightarrow k_{1} k_{0} / k_{3}\) and \(C(t) \rightarrow k_{2} k_{0} / k_{3}\) as \(t \rightarrow \infty\). (d) The age of the volcanic strata is the current value of the time variable \(t\) because the potassiumargon clock started when the volcanic material was laid down. This age is estimated by measuring the ratio of argon to potassium in a sample. Show that this ratio is $$ \frac{A}{K}=\frac{k_{1}}{k_{3}}\left(e^{k_{3} t}-1\right) $$ (e) Now show that the age of the sample in years is $$ \frac{1}{k_{3}} \ell \mathrm{n}\left[\left(\frac{k_{3} A}{k_{1} K}\right)+1\right] $$ (f) When the actual measurements were made at the University of California at Berkeley, the age of the volcanic material (and thus the age of the bones) was estimated to be \(1.75\) million years. What was the value of the measured ratio \(A / K ?\)

In Section \(2.7\), we also developed a model to describe the levels of antihistamine and decongestant in a patient taking a course of cold pills: $$ \begin{aligned} &\frac{d x}{d t}=I-k_{1} x, \quad x(0)=0, \\ &\frac{d y}{d t}=k_{1} x-k_{2} y, \quad y(0)=0 . \end{aligned} $$ Here \(k_{1}\) and \(k_{2}\) describe rates at which the drugs move between the two sequential compartments (the GI-tract and the bloodstream) and \(I\) denotes the amount of drug released into the GI-tract in each time step. The levels of the drug in the GI-tract and bloodstream are \(x\) and \(y\), respectively. By solving the equations sequentially show that the solution is $$ x(t)=\frac{I}{k_{1}}\left(1-e^{-k_{1} t}\right), \quad y(t)=\frac{I}{k_{2}}\left[1-\frac{1}{k_{2}-k_{1}}\left(k_{2} e^{-k_{1} t}-k_{1} e^{-k_{2} t}\right)\right] . $$

Continuous compounding for invested money can be described by a simple exponential model, \(M^{\prime}(t)=0.01 r M(t)\), where \(M(t)\) is the amount of money at time \(t\) and \(r\) is the percent interest compounding. Business managers commonly apply the Rule of 72, which says that the number of years it takes for a sum of money invested at \(r \%\) interest to double, can be approximated by \(72 / r .\) Show that this rule always overestimates the time required for the investment to double.

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