Question: I need help with this question uploaded as image. 4 . 1 Coagulation In this problem, we will explore the role that diffusive Brownian coagulation

I need help with this question uploaded as image.
4.1 Coagulation
In this problem, we will explore the role that diffusive Brownian coagulation plays in removing
smaller particles from the particle size distribution. To do so, we will use the Fuchs form of the
Brownian coagulation coefficient, as presented in Seinfeld and Pandis Table 13.1:
TABLE 13.1 Fuchs Form of the Brownian Coagutation Coefticient K12
K12=2x(D1+D2)(Dp1+Dp2)(Dp1+Dp2Dp2+Dp2+2(s12+g22)12+8(D1+D2)(vec(c)12+vec(c)22)12(Dp1+Dp2))-1
where
{:Di=TCe3D
The mean frese parh t, is defined shightly differenriy than in (9.hat(K)).
(a) To confirm that you can correctly implement the coagulation equations, compute K12
(units: cm3s-1) for (i) a 10nm particle to coagulate onto a 100nm particle, and (ii) for a
100nm particle to coagulate onto another 100nm particle. Check your results against
Seinfeld and Pandis Table 13.3, where they report these coagulation coefficients to be
respectively 2.510-8 and 1510-10cm3s-1. Assume conditions of 25C in air.
(b) Consider a monodisperse aerosol with 100nm particles. For an initial number
concentration N0 of (i)104 and (ii)106 particles cm-3, compute the characteristic
coagulation timescale t for the total number concentration to be halved, where:
c=2KN0
Now, let's consider the archetypal polluted "urban" particle size distribution from Seinfeld and
Pandis which we have been using in previous assignments. As we discussed in lecture,
coagulation is most rapid for particles of highly dissimilar sizes. Let's compute the
characteristic timescale for a particle of diameter i to be lost to coagulation onto any larger
particle of diameter j>i. We can express this timescale as:
 I need help with this question uploaded as image. 4.1 Coagulation

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