SlideShare a Scribd company logo
1 of 15
Tuesday, 6th February 2018
MATA KULIAH:
PEMODELAN MATEMATIKA
COMPARTMENTAL
MODEL
Lecture:
Heni Widayani, M.Si
Compartmental Diagram
Process
input output
Rate in Rate out
Balance Law
𝑛𝑒𝑑 π‘Ÿπ‘Žπ‘‘π‘’
π‘œπ‘“ π‘β„Žπ‘Žπ‘›π‘”π‘’
π‘œπ‘“ π‘Ž π‘ π‘’π‘π‘ π‘‘π‘Žπ‘›π‘π‘’
=
π‘Ÿπ‘Žπ‘‘π‘’
𝑖𝑛
βˆ’
π‘Ÿπ‘Žπ‘‘π‘’
π‘œπ‘’π‘‘
Example :
1. The decay process of radioactive elements
2. Births and deaths in population
3. Pollution into and our of a lake or river, or the atmosphere
4. Drug asimilation into and removal from the bloodstream
Exponential decay and radiometric dating
 Essential to the understanding of our history
(find the approximately date)
RADIOACTIVE
MATERIAL
Emitted particles
Asumption :
1. The amount of an element present is large enough so that we are
justified in ignoring random fluctuations.
2. The process is continuous in time
3. There is a fixed rate of decay for an element
4. There is no increase in mass of the body of material.
π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘œπ‘“
π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘Žπ‘π‘‘π‘–π‘£π‘’ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘–π‘Žπ‘™
π‘Žπ‘‘ π‘‘π‘–π‘šπ‘’ 𝑑
= βˆ’
π‘Ÿπ‘Žπ‘‘π‘’ π‘Žπ‘šπ‘œπ‘’π‘›π‘‘ π‘œπ‘“
π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘Žπ‘π‘‘π‘–π‘£π‘’
π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘–π‘Žπ‘™
π‘‘π‘’π‘π‘Žπ‘¦π‘’π‘‘
Formulating the differential equation
Let N(𝑑) be the mass (in gram) of radioactive atoms at time 𝑑 and let βˆ†π‘‘
be a small change in time. The change number of atom is proportional
to the number of atom at the start of the time period.
𝑁 𝑑 + βˆ†π‘‘ = 𝑁 𝑑 βˆ’ π‘˜π‘ 𝑑 βˆ†π‘‘, 𝑁 𝑑0 = 𝑁0
where π‘˜ is a positive constant of proportionality indicating the rate of
decay per atom in unit time (decay constant).
If βˆ†π‘‘ is small enough (βˆ†π‘‘ β†’ 0), then
𝑑𝑁
𝑑𝑑
= βˆ’π‘˜π‘, 𝑁 𝑑0 = 𝑁0
Initial value
Problem (IVP)
Use the separation variable technique to solve the equation !
𝑡 𝒕 = 𝑡 𝟎 π’†βˆ’π’Œ(π’•βˆ’π’• 𝟎)
Since 𝑑 βˆ’ 𝑑0 > 0 then
lim
π‘‘β†’βˆž
𝑁0 π‘’βˆ’π‘˜(π‘‘βˆ’π‘‘0) = 0
𝑁(𝑑) is a monoton
decreasing function
Substance 𝑯𝒂𝒍𝒇 βˆ’ π’π’Šπ’‡π’†(𝝉)
Xenon-133 5 days
Barium-140 13 days
Lead-210 22 years
Strontium-90 25 years
Carbon-14 5568 years
Plutonium 23103 years
Uranium-235 0.707x109 years
Uranium-238 4.5 x 109 years
Experimentally measured for the half-life (𝝉)
Half-Life (𝜏) is defined as the time taken for
half of a given quantity of atoms to decay. If
𝑁 𝑑0 = 𝑁0 then
𝑁 𝜏 =
𝑁0
2
Find the value of decay constant (π’Œ)
for Carbon-14 !
In General,
π‘˜ =
ln 2
𝜏
 Residence time is defined to be the mean time that an individual
particle is in the compartment.
𝑑𝑁
𝑑𝑑
= βˆ’π‘˜ 𝑁
 π‘˜βˆ’1 is the residence time for a single compartment where π‘˜ is the
constant rate of 𝑁.
𝑡 𝒕 = 𝑡 𝟎 π’†βˆ’π’Œ(π’•βˆ’π’• 𝟎)
 The fraction of particles remaining in the compartment at time 𝑑 is
given by π‘’βˆ’π‘˜(π‘‘βˆ’π‘‘0).
 The quantity 𝐹 𝑑 = 1 βˆ’ π‘’βˆ’π‘˜π‘‘
represents the probability an
individual particle has left the compartment by time 𝑑 (cumulative
probability function for the time each particle was in the
compartment)
𝑭 𝒕 = 𝑷𝒓 𝑻 < 𝒕
 𝑇 is the random variable representing the time for each period.
Residence time
Study Case :Lascaux Cave Paintings
In the Cave of Lascaux in France there are some ancient wall paintings,
believed to be prehistoric. Using a Geiger counter, the current decay rate of C14
in charcoal fragments collected from the cave was measured as approximately
1.69 disintegrations per minutes per gram of carbon. In comparison,for living
tissue in 1950 the measurement was 13.5 disintegration per minute per gram
of carbon. How long ago was the radioactive carbon formed (the Lascaux Cave
painting painted)?
ANSWER :
Let 𝑁(𝑑) be the amout of C14 per gram in the charcoal at time 𝑑. We know that
𝜏 = 5568 years (the half-life of C14), so we get
π‘˜ β‰ˆ 0.0001245 per year
Let 𝑑0 = 0 be the current time. Let 𝑇 be the time that the charcoal was formed,
and thus 𝑇 < 0. For 𝑇 < 𝑑 < 𝑑0, the C14 decays follow the function
𝑁 𝑑 = 𝑁0 π‘’βˆ’π‘˜π‘‡
We don’t have the 𝑁(𝑇) or 𝑁0, but we have 𝑁′
𝑇 =
𝑁′(𝑇)
𝑁′(0)
=
𝑁(𝑇)
𝑁0
Thus, we get
𝑇 = βˆ’
1
π‘˜
ln
𝑁 𝑇
𝑁0
= βˆ’16690 years ago
Salt dissolved in a tank
tank
salt inflow salt outflow
π‘Ÿπ‘Žπ‘‘π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’
π‘œπ‘“ π‘ π‘Žπ‘™π‘‘ π‘šπ‘Žπ‘ π‘ 
𝑖𝑛 π‘‘π‘Žπ‘›π‘˜
=
π‘Ÿπ‘Žπ‘‘π‘’
π‘šπ‘Žπ‘ π‘  π‘œπ‘“ π‘ π‘Žπ‘™π‘‘
π‘’π‘›π‘‘π‘’π‘Ÿπ‘  π‘‘π‘Žπ‘›π‘˜
βˆ’
π‘Ÿπ‘Žπ‘‘π‘’
π‘šπ‘Žπ‘ π‘  π‘œπ‘“ π‘ π‘Žπ‘™π‘‘
π‘™π‘’π‘Žπ‘£π‘’π‘  π‘‘π‘Žπ‘›π‘˜
𝑑𝑆
𝑑𝑑
= 10𝑐𝑖𝑛 𝑑 βˆ’
1
10
𝑆(𝑑), 𝑆 0 = 𝑠0
Balance law
A large tank contains 100 litres of salt water. Initially 𝑠0 kg of salt is
dissolved. Salt water flows into the tank at the rate of 10 litres per
minute, with the concentration 𝑐𝑖𝑛(𝑑) (kg of salt/litre) of this incoming
water-salt mixture varies with time. We assume that the solution in the
tank is thoroughly mixed and that the salt solution flows out at the
same rate at which it flows in: that is, the volume of water-salt mixture
in the tank remain constant.
Use the technique of integrating factors to solve IVP equation above!
𝑆 𝑇 = 𝑠0 π‘’βˆ’π‘‡/10
+ 10π‘’βˆ’π‘‡/10
0
𝑇
𝑐𝑖𝑛(𝑠)𝑒 𝑠/10
𝑑𝑑
Lake Pollution Models
Mass of
pollutant in
lake
Mass inflow Mass outflow
Polluted river water, pollution
dump into the lake
Water flows from the lake
carrying some polution with it
π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘β„Žπ‘Žπ‘›π‘”π‘’
π‘π‘œπ‘™π‘™π‘’π‘‘π‘Žπ‘›π‘‘ π‘šπ‘Žπ‘ π‘ 
𝑖𝑛 π‘™π‘Žπ‘˜π‘’
=
π‘Ÿπ‘Žπ‘‘π‘’
π‘œπ‘“ π‘π‘œπ‘™π‘™π‘’π‘‘π‘Žπ‘›π‘‘
π‘’π‘›π‘‘π‘’π‘Ÿπ‘  π‘™π‘Žπ‘˜π‘’
βˆ’
π‘Ÿπ‘Žπ‘‘π‘’
π‘œπ‘“ π‘π‘œπ‘™π‘™π‘’π‘‘π‘Žπ‘›π‘‘
π‘™π‘’π‘Žπ‘£π‘’π‘  π‘™π‘Žπ‘˜π‘’
Assumption :
1. The lake has a constant volume 𝑉
2. The lake water is continuously well mixed so the pollution is uniform
throughout
Let 𝑀(𝑑) is the mass of the pollutant in the lake
Let 𝐢(𝑑) be the concentration of the pollutant in the lake at time 𝑑.
Let 𝐹 be the rate at which water flows out of the lake in m3/day.
Let 𝑐𝑖𝑛 is the concentration g/m3) of the pollutant in the flow entering lake
𝑑𝑀
𝑑𝑑
= 𝐹𝑐𝑖𝑛 βˆ’ 𝐹
𝑀 𝑑
𝑉
𝑑𝐢
𝑑𝑑
=
𝐹
𝑉
𝑐𝑖𝑛 βˆ’
𝐹
𝑉
𝐢, 𝐢 0 = 𝐢0
Problem :
How long it will take for the lake’s pollution level to reach 5% of
its initial level, if only fresh water flows into the lake ?
Implement the result for the cases below
a. Consider Lake Eric with 𝑉 = 458 Γ— 109
m3 and 𝐹 = 480 Γ—
106 m3/day = 1,75 x 1011 m3/year.
b. Consider Lake Ontario with 𝑉=1636 x 109 m3 and 𝐹 = 572 Γ—
106
m3/day = 2,089 x 1011 m3/year.
a. t0.05 = 7.8 years
b. t0.05 = 23.5 years
Although the flow rate in and out of Lake Ontario is similar to
Lake Erie, it takes significantly longer to clear the pollution from
Lake Ontario due to the larger volume water in Lake Ontario.
Drug Assimilation into the blood
 The drug dissolves in the gastrointestinal tract (GI-tract) and each
ingredient is diffused into bloodstream.
 Drug carried to the locations in which they act and are removed from
the blood by the kidneys and the liver.
GI Tract Blood
Drug intake digestion tissues
π‘Ÿπ‘Žπ‘‘π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’
π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘”
𝑖𝑛 𝐺𝐼 π‘‘π‘Ÿπ‘Žπ‘π‘‘
=
π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“
π‘‘π‘Ÿπ‘’π‘”
π‘–π‘›π‘‘π‘Žπ‘˜π‘’
-
π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“
π‘‘π‘Ÿπ‘’π‘” π‘™π‘’π‘Žπ‘£π‘’π‘ 
𝐺𝐼 π‘‘π‘Ÿπ‘Žπ‘π‘‘
π‘Ÿπ‘Žπ‘‘π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’
π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘”
𝑖𝑛 π‘π‘™π‘œπ‘œπ‘‘
=
π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“
π‘‘π‘Ÿπ‘’π‘”
π‘’π‘›π‘‘π‘’π‘Ÿπ‘  π‘π‘™π‘œπ‘œπ‘‘
-
π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“
π‘‘π‘Ÿπ‘’π‘”
π‘™π‘’π‘Žπ‘£π‘’π‘  π‘π‘™π‘œπ‘œπ‘‘
Let π‘₯(𝑑) be the amount of a drug in the GI-tract at time 𝑑.
Let 𝑦(𝑑) be the amount of a drug in the bloodstream at time 𝑑.
A single cold pill
 There is no ingestion of the drug except that which occurs initially.
 Assumption :
1. The output rate of GI-tract is proportional to the drug concentration,
which is proportional to the amount of drug in the bloodstream
2. In the bloodstream, the initial amount of the drugs is zero. The level
increases as the drug diffuses from the GI-tract an decreases as the
kidneys and liver remove it.
𝑑π‘₯
𝑑𝑑
= βˆ’π‘˜1 π‘₯, π‘₯ 0 = π‘₯0
𝑑𝑦
𝑑𝑑
= π‘˜1 π‘₯ βˆ’ π‘˜2 𝑦, 𝑦 0 = 0
where π‘₯0 is the amount of a drug in the pill, π‘˜1 and π‘˜2 are positive
contant of proportionality.
The cold pill is made up of a decongestant and an antihistamine, which
are define the value of π‘˜1 and π‘˜2.
Decongestant Antihistamine
π‘˜1 1.3860/hr 0.6931/hr
π‘˜2 0.1386/hr 0.0231/hr
π‘₯ 𝑑 = π‘₯0 π‘’βˆ’π‘˜1 𝑑
𝑦 𝑑 =
π‘˜1
π‘˜1 βˆ’ π‘˜2
π‘’βˆ’π‘˜2 𝑑 βˆ’ π‘’βˆ’π‘˜1 𝑑
A course of cold pills
 We take a course of pills rather than just one.
 There is a continuous flow of drugs into the GI-tract
𝑑π‘₯
𝑑𝑑
= 𝐼 βˆ’ π‘˜1 π‘₯, π‘₯ 0 = π‘₯0
𝑑𝑦
𝑑𝑑
= π‘˜1 π‘₯ βˆ’ π‘˜2 𝑦, 𝑦 0 = 0
where 𝐼 is a positive constant represnting the rate of ingestion of the
drug (g/hr).
The analytic solution was
π‘₯ 𝑑 =
𝐼
π‘˜1
1 βˆ’ π‘’βˆ’π‘˜1 𝑑
𝑦 𝑑 =
𝐼
π‘˜2
1 βˆ’
1
π‘˜2 βˆ’ π‘˜1
π‘˜2 π‘’βˆ’π‘˜1 𝑑
βˆ’ π‘˜1 π‘’βˆ’π‘˜2 𝑑
* This solution is valid only if π‘˜1 β‰  π‘˜2.
Dull, dizzy, or dead?
 Australian law prohibits driving of vehicles (including boats and
horse) for those with BAL (blood alcohol level) above 0.05. This the
relates to 50mg/100ml alcohol in the bloodstream.
 This restriction is a result of U.S statistics which indicate that a person
with a BAL of 0.15 is 25 times more likely to have a fatal accident than
one with no alcohol. Furthermore, for 41% of Australian men
excessive alcohol leads to confrontational behaviour.
BAL Behavioural effect
5% Lowered alertness, usually good feeling, release of
inhibitors, impaired judgement
Dull and dignified
10% Slowed reaction times and impaired motor function,
less caution
Dangerous and devilish
15% Large consistent increases in reaction time Dizzy
20% Marked depression in sensory and motor capability,
decidedly intoxicated
Disturbing
25% Severe motor disturbance, staggering, sensory
perceptions greatly impaired, smashed
Disgusting and
dishevelled
30% Stuporous but conscious, no comprehension of what’s
going on
Delirious and
disoriented
35% Surgical anaesthesia, minimal level causing death Dead drunk
40% 50 times the minimal level, causing death Dead !
β€’ The alcohol intake into the GI-tract is β€œcontrolled” by the drinker. The
amount of alcohol subsequently absorbed into the bloodstream
depends on the concentration of alcohol, other liquid and food in the
GI-tract, as well as on the weight and sex of the individual. Alcohol is
removed from the bloodstream at a constant rate by the liver. This is
independent of the body weight, sexm of the individual and
concentration of alcohol in the bloodstream and assumes that the liver
has not been damaged by large doses of alcohol. (Ignoring that a small
percentage leaves through sweat, saliva, breath, and urine. This means
BAL estimate may be slightly above the true value).
β€’ Let 𝐢1(𝑑) be the concentration of alcohol in the GI-tract at time 𝑑.
Let 𝐢2(𝑑) be the concentration of alcohol in the bloodstream at time 𝑑
𝑑𝐢1
𝑑𝑑
= 𝐼 βˆ’ π‘˜1 𝐢2
𝑑𝐢2
𝑑𝑑
= π‘˜2 𝐢1 βˆ’
π‘˜3 𝐢3
𝐢2 + 𝑀
β€’ In the case of drinking on an empty stomach, π‘˜1 = π‘˜2
β€’ If drinking occurs together with a meal (or is diluted) then π‘˜1 > π‘˜2

More Related Content

What's hot

Quotient groups-Group theory
Quotient groups-Group theoryQuotient groups-Group theory
Quotient groups-Group theoryAyush Agrawal
Β 
Complex function
Complex functionComplex function
Complex functionShrey Patel
Β 
Limits And Derivative
Limits And DerivativeLimits And Derivative
Limits And DerivativeAshams kurian
Β 
Basic Rules Of Differentiation
Basic Rules Of DifferentiationBasic Rules Of Differentiation
Basic Rules Of Differentiationseltzermath
Β 
Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3Ron Eick
Β 
Data analysis
Data analysisData analysis
Data analysisSANTHANAM V
Β 
Molecular spectroscopy 1
Molecular spectroscopy 1Molecular spectroscopy 1
Molecular spectroscopy 1Dewal Deshmukh
Β 
Differentiation
DifferentiationDifferentiation
Differentiationtimschmitz
Β 
Exponential Growth, Doubling Time, and the Rule of 70
Exponential Growth, Doubling Time, and the Rule of 70Exponential Growth, Doubling Time, and the Rule of 70
Exponential Growth, Doubling Time, and the Rule of 70Toni Menninger
Β 
Random variables
Random variablesRandom variables
Random variablesmrraymondstats
Β 
Chapter07
Chapter07Chapter07
Chapter07rwmiller
Β 
Chapter 17.4 : Reaction Rate
Chapter 17.4 : Reaction RateChapter 17.4 : Reaction Rate
Chapter 17.4 : Reaction RateChris Foltz
Β 
Concentration units
Concentration unitsConcentration units
Concentration unitsSidra Javed
Β 
Standard Enthalpy Formation
Standard Enthalpy FormationStandard Enthalpy Formation
Standard Enthalpy FormationLumen Learning
Β 
Application of Differential Equation in Real Life
Application of Differential Equation in Real LifeApplication of Differential Equation in Real Life
Application of Differential Equation in Real LifeMd.Sumon Sarder
Β 
Limits, continuity, and derivatives
Limits, continuity, and derivativesLimits, continuity, and derivatives
Limits, continuity, and derivativesnathaniel9agabao
Β 

What's hot (20)

Applications of derivative
Applications of derivativeApplications of derivative
Applications of derivative
Β 
Quotient groups-Group theory
Quotient groups-Group theoryQuotient groups-Group theory
Quotient groups-Group theory
Β 
Complex function
Complex functionComplex function
Complex function
Β 
Limits And Derivative
Limits And DerivativeLimits And Derivative
Limits And Derivative
Β 
Basic Rules Of Differentiation
Basic Rules Of DifferentiationBasic Rules Of Differentiation
Basic Rules Of Differentiation
Β 
Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3
Β 
Data analysis
Data analysisData analysis
Data analysis
Β 
Molecular spectroscopy 1
Molecular spectroscopy 1Molecular spectroscopy 1
Molecular spectroscopy 1
Β 
Integral calculus
Integral calculusIntegral calculus
Integral calculus
Β 
Differentiation
DifferentiationDifferentiation
Differentiation
Β 
Exponential Growth, Doubling Time, and the Rule of 70
Exponential Growth, Doubling Time, and the Rule of 70Exponential Growth, Doubling Time, and the Rule of 70
Exponential Growth, Doubling Time, and the Rule of 70
Β 
Random variables
Random variablesRandom variables
Random variables
Β 
Limits and continuity
Limits and continuityLimits and continuity
Limits and continuity
Β 
Lesson 3 simpsons rule
Lesson 3 simpsons ruleLesson 3 simpsons rule
Lesson 3 simpsons rule
Β 
Chapter07
Chapter07Chapter07
Chapter07
Β 
Chapter 17.4 : Reaction Rate
Chapter 17.4 : Reaction RateChapter 17.4 : Reaction Rate
Chapter 17.4 : Reaction Rate
Β 
Concentration units
Concentration unitsConcentration units
Concentration units
Β 
Standard Enthalpy Formation
Standard Enthalpy FormationStandard Enthalpy Formation
Standard Enthalpy Formation
Β 
Application of Differential Equation in Real Life
Application of Differential Equation in Real LifeApplication of Differential Equation in Real Life
Application of Differential Equation in Real Life
Β 
Limits, continuity, and derivatives
Limits, continuity, and derivativesLimits, continuity, and derivatives
Limits, continuity, and derivatives
Β 

Similar to Compartmental model

Radioactive and Half life
Radioactive and Half lifeRadioactive and Half life
Radioactive and Half lifeAbdullah Akram
Β 
Sodium metabolism and its clinical applications
Sodium  metabolism  and its clinical applicationsSodium  metabolism  and its clinical applications
Sodium metabolism and its clinical applicationsrohini sane
Β 
Body Water, Osmolarity and Ionic composition of Body fluids
Body Water, Osmolarity and Ionic composition of Body fluidsBody Water, Osmolarity and Ionic composition of Body fluids
Body Water, Osmolarity and Ionic composition of Body fluidsDrLUCKYRANI
Β 
2014 HAPS Osmosis Workshop
2014 HAPS Osmosis Workshop2014 HAPS Osmosis Workshop
2014 HAPS Osmosis WorkshopPhilip Tate
Β 
Coacervates Experiment
Coacervates ExperimentCoacervates Experiment
Coacervates ExperimentKimberly Thomas
Β 
200L Physiology on Body Fluids and Blood
200L Physiology on Body Fluids and Blood200L Physiology on Body Fluids and Blood
200L Physiology on Body Fluids and BloodAisha Olanrewaju
Β 
Fluid And electrolyte Balance FINAL .pptx
Fluid And electrolyte Balance FINAL .pptxFluid And electrolyte Balance FINAL .pptx
Fluid And electrolyte Balance FINAL .pptxVickyS88
Β 
Prof. Mridul M. Panditrao's Fluid/s
Prof. Mridul M. Panditrao's Fluid/sProf. Mridul M. Panditrao's Fluid/s
Prof. Mridul M. Panditrao's Fluid/sProf. Mridul Panditrao
Β 
Preclinical screening of diuretics.pptx
Preclinical screening of diuretics.pptxPreclinical screening of diuretics.pptx
Preclinical screening of diuretics.pptxVincyDinakaran
Β 
Body Fluid And Electrolyte Balance
Body Fluid And Electrolyte BalanceBody Fluid And Electrolyte Balance
Body Fluid And Electrolyte Balancemvraveendrambbs
Β 
Iv Fluid Therapy by Faisal Azmi
Iv Fluid Therapy by Faisal AzmiIv Fluid Therapy by Faisal Azmi
Iv Fluid Therapy by Faisal AzmiFaisal Azmi
Β 
Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...
Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...
Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...Jonathan Damora
Β 
August 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docx
August 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docxAugust 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docx
August 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docxrock73
Β 
45-54-Osmolar-Disorder.pdf
45-54-Osmolar-Disorder.pdf45-54-Osmolar-Disorder.pdf
45-54-Osmolar-Disorder.pdfsithuswe009
Β 
Renal Review
Renal ReviewRenal Review
Renal ReviewJess Little
Β 
Body water and fluid compartments.pdf
Body water and fluid compartments.pdfBody water and fluid compartments.pdf
Body water and fluid compartments.pdfHussein Ali
Β 
electrolytes mbbs class 2024 new.pptx ppt
electrolytes mbbs class 2024 new.pptx pptelectrolytes mbbs class 2024 new.pptx ppt
electrolytes mbbs class 2024 new.pptx pptdinesh kumar
Β 
Screening diuretic drugs
Screening diuretic drugsScreening diuretic drugs
Screening diuretic drugssaurav181087
Β 

Similar to Compartmental model (20)

Radioactive and Half life
Radioactive and Half lifeRadioactive and Half life
Radioactive and Half life
Β 
Sodium metabolism and its clinical applications
Sodium  metabolism  and its clinical applicationsSodium  metabolism  and its clinical applications
Sodium metabolism and its clinical applications
Β 
Body Water, Osmolarity and Ionic composition of Body fluids
Body Water, Osmolarity and Ionic composition of Body fluidsBody Water, Osmolarity and Ionic composition of Body fluids
Body Water, Osmolarity and Ionic composition of Body fluids
Β 
2014 HAPS Osmosis Workshop
2014 HAPS Osmosis Workshop2014 HAPS Osmosis Workshop
2014 HAPS Osmosis Workshop
Β 
Coacervates Experiment
Coacervates ExperimentCoacervates Experiment
Coacervates Experiment
Β 
200L Physiology on Body Fluids and Blood
200L Physiology on Body Fluids and Blood200L Physiology on Body Fluids and Blood
200L Physiology on Body Fluids and Blood
Β 
Fluid And electrolyte Balance FINAL .pptx
Fluid And electrolyte Balance FINAL .pptxFluid And electrolyte Balance FINAL .pptx
Fluid And electrolyte Balance FINAL .pptx
Β 
Prof. Mridul M. Panditrao's Fluid/s
Prof. Mridul M. Panditrao's Fluid/sProf. Mridul M. Panditrao's Fluid/s
Prof. Mridul M. Panditrao's Fluid/s
Β 
Preclinical screening of diuretics.pptx
Preclinical screening of diuretics.pptxPreclinical screening of diuretics.pptx
Preclinical screening of diuretics.pptx
Β 
Body Fluid And Electrolyte Balance
Body Fluid And Electrolyte BalanceBody Fluid And Electrolyte Balance
Body Fluid And Electrolyte Balance
Β 
Poster
PosterPoster
Poster
Β 
Iv Fluid Therapy by Faisal Azmi
Iv Fluid Therapy by Faisal AzmiIv Fluid Therapy by Faisal Azmi
Iv Fluid Therapy by Faisal Azmi
Β 
Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...
Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...
Water Analysis through High Performance Liquid Chromotography, Ion Exchange R...
Β 
August 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docx
August 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docxAugust 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docx
August 7, 2012 2103 c02 Sheet number 30 Page number 60 cyan b.docx
Β 
Screening of Diuretics M.PHARM PHARMACOLOGY.
Screening of Diuretics M.PHARM PHARMACOLOGY.Screening of Diuretics M.PHARM PHARMACOLOGY.
Screening of Diuretics M.PHARM PHARMACOLOGY.
Β 
45-54-Osmolar-Disorder.pdf
45-54-Osmolar-Disorder.pdf45-54-Osmolar-Disorder.pdf
45-54-Osmolar-Disorder.pdf
Β 
Renal Review
Renal ReviewRenal Review
Renal Review
Β 
Body water and fluid compartments.pdf
Body water and fluid compartments.pdfBody water and fluid compartments.pdf
Body water and fluid compartments.pdf
Β 
electrolytes mbbs class 2024 new.pptx ppt
electrolytes mbbs class 2024 new.pptx pptelectrolytes mbbs class 2024 new.pptx ppt
electrolytes mbbs class 2024 new.pptx ppt
Β 
Screening diuretic drugs
Screening diuretic drugsScreening diuretic drugs
Screening diuretic drugs
Β 

More from Heni Widayani

Fungsi Pembangkit
Fungsi PembangkitFungsi Pembangkit
Fungsi PembangkitHeni Widayani
Β 
Relasi Rekurensi
Relasi RekurensiRelasi Rekurensi
Relasi RekurensiHeni Widayani
Β 
Binomial dan Multinomial
Binomial dan MultinomialBinomial dan Multinomial
Binomial dan MultinomialHeni Widayani
Β 
Permutasi dan kombinasi
Permutasi dan kombinasiPermutasi dan kombinasi
Permutasi dan kombinasiHeni Widayani
Β 
Standing Waves
Standing WavesStanding Waves
Standing WavesHeni Widayani
Β 
Pers. KdV dan Sine-Gordon
Pers. KdV dan Sine-GordonPers. KdV dan Sine-Gordon
Pers. KdV dan Sine-GordonHeni Widayani
Β 
Gelombang Berjalan
Gelombang BerjalanGelombang Berjalan
Gelombang BerjalanHeni Widayani
Β 
Solusi D'Alembert Pers. Gelombang 1D
Solusi D'Alembert Pers. Gelombang 1DSolusi D'Alembert Pers. Gelombang 1D
Solusi D'Alembert Pers. Gelombang 1DHeni Widayani
Β 
Transformasi laplace (bag. kedua)
Transformasi laplace (bag. kedua)Transformasi laplace (bag. kedua)
Transformasi laplace (bag. kedua)Heni Widayani
Β 
Transformasi Laplace (bag.1)
Transformasi Laplace (bag.1)Transformasi Laplace (bag.1)
Transformasi Laplace (bag.1)Heni Widayani
Β 
5 permutasi dan kombinasi
5 permutasi dan kombinasi5 permutasi dan kombinasi
5 permutasi dan kombinasiHeni Widayani
Β 
Interacting Population Models
Interacting Population ModelsInteracting Population Models
Interacting Population ModelsHeni Widayani
Β 
Single Population Model
Single Population ModelSingle Population Model
Single Population ModelHeni Widayani
Β 
An Introduction to Mathematical Modelling
An Introduction to Mathematical ModellingAn Introduction to Mathematical Modelling
An Introduction to Mathematical ModellingHeni Widayani
Β 
Rekursi dan Induksi Matematika
Rekursi dan Induksi MatematikaRekursi dan Induksi Matematika
Rekursi dan Induksi MatematikaHeni Widayani
Β 
Metode dan Strategi Pembuktian
Metode dan Strategi PembuktianMetode dan Strategi Pembuktian
Metode dan Strategi PembuktianHeni Widayani
Β 
Review Mathematical Reasoning
Review Mathematical ReasoningReview Mathematical Reasoning
Review Mathematical ReasoningHeni Widayani
Β 

More from Heni Widayani (19)

Fungsi Pembangkit
Fungsi PembangkitFungsi Pembangkit
Fungsi Pembangkit
Β 
Relasi Rekurensi
Relasi RekurensiRelasi Rekurensi
Relasi Rekurensi
Β 
Binomial dan Multinomial
Binomial dan MultinomialBinomial dan Multinomial
Binomial dan Multinomial
Β 
Permutasi dan kombinasi
Permutasi dan kombinasiPermutasi dan kombinasi
Permutasi dan kombinasi
Β 
Deret Fourier
Deret FourierDeret Fourier
Deret Fourier
Β 
Standing Waves
Standing WavesStanding Waves
Standing Waves
Β 
Pers. KdV dan Sine-Gordon
Pers. KdV dan Sine-GordonPers. KdV dan Sine-Gordon
Pers. KdV dan Sine-Gordon
Β 
Gelombang Berjalan
Gelombang BerjalanGelombang Berjalan
Gelombang Berjalan
Β 
Solusi D'Alembert Pers. Gelombang 1D
Solusi D'Alembert Pers. Gelombang 1DSolusi D'Alembert Pers. Gelombang 1D
Solusi D'Alembert Pers. Gelombang 1D
Β 
Transformasi laplace (bag. kedua)
Transformasi laplace (bag. kedua)Transformasi laplace (bag. kedua)
Transformasi laplace (bag. kedua)
Β 
Transformasi Laplace (bag.1)
Transformasi Laplace (bag.1)Transformasi Laplace (bag.1)
Transformasi Laplace (bag.1)
Β 
5 permutasi dan kombinasi
5 permutasi dan kombinasi5 permutasi dan kombinasi
5 permutasi dan kombinasi
Β 
Interacting Population Models
Interacting Population ModelsInteracting Population Models
Interacting Population Models
Β 
Single Population Model
Single Population ModelSingle Population Model
Single Population Model
Β 
An Introduction to Mathematical Modelling
An Introduction to Mathematical ModellingAn Introduction to Mathematical Modelling
An Introduction to Mathematical Modelling
Β 
Counting 1
Counting 1Counting 1
Counting 1
Β 
Rekursi dan Induksi Matematika
Rekursi dan Induksi MatematikaRekursi dan Induksi Matematika
Rekursi dan Induksi Matematika
Β 
Metode dan Strategi Pembuktian
Metode dan Strategi PembuktianMetode dan Strategi Pembuktian
Metode dan Strategi Pembuktian
Β 
Review Mathematical Reasoning
Review Mathematical ReasoningReview Mathematical Reasoning
Review Mathematical Reasoning
Β 

Recently uploaded

Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trssuser06f238
Β 
Citronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayCitronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayupadhyaymani499
Β 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)riyaescorts54
Β 
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.aasikanpl
Β 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensorsonawaneprad
Β 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPirithiRaju
Β 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
Β 
User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)
User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)
User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)Columbia Weather Systems
Β 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPirithiRaju
Β 
Volatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -IVolatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -INandakishor Bhaurao Deshmukh
Β 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
Β 
Pests of Bengal gram_Identification_Dr.UPR.pdf
Pests of Bengal gram_Identification_Dr.UPR.pdfPests of Bengal gram_Identification_Dr.UPR.pdf
Pests of Bengal gram_Identification_Dr.UPR.pdfPirithiRaju
Β 
User Guide: Magellan MXβ„’ Weather Station
User Guide: Magellan MXβ„’ Weather StationUser Guide: Magellan MXβ„’ Weather Station
User Guide: Magellan MXβ„’ Weather StationColumbia Weather Systems
Β 
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”soniya singh
Β 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPirithiRaju
Β 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptArshadWarsi13
Β 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsHajira Mahmood
Β 
FREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by naFREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by naJASISJULIANOELYNV
Β 
Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...lizamodels9
Β 

Recently uploaded (20)

Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 tr
Β 
Citronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayCitronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyay
Β 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
Β 
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”9953322196πŸ” πŸ’―Escort.
Β 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensor
Β 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Β 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
Β 
User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)
User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)
User Guide: Pulsarβ„’ Weather Station (Columbia Weather Systems)
Β 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Β 
Volatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -IVolatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -I
Β 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
Β 
Pests of Bengal gram_Identification_Dr.UPR.pdf
Pests of Bengal gram_Identification_Dr.UPR.pdfPests of Bengal gram_Identification_Dr.UPR.pdf
Pests of Bengal gram_Identification_Dr.UPR.pdf
Β 
User Guide: Magellan MXβ„’ Weather Station
User Guide: Magellan MXβ„’ Weather StationUser Guide: Magellan MXβ„’ Weather Station
User Guide: Magellan MXβ„’ Weather Station
Β 
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Munirka Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Β 
Hot Sexy call girls in Moti Nagar,πŸ” 9953056974 πŸ” escort Service
Hot Sexy call girls in  Moti Nagar,πŸ” 9953056974 πŸ” escort ServiceHot Sexy call girls in  Moti Nagar,πŸ” 9953056974 πŸ” escort Service
Hot Sexy call girls in Moti Nagar,πŸ” 9953056974 πŸ” escort Service
Β 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Β 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.ppt
Β 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutions
Β 
FREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by naFREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by na
Β 
Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❀️8860477959 EscorTs Service In 24/7 Delh...
Β 

Compartmental model

  • 1. Tuesday, 6th February 2018 MATA KULIAH: PEMODELAN MATEMATIKA COMPARTMENTAL MODEL Lecture: Heni Widayani, M.Si
  • 2. Compartmental Diagram Process input output Rate in Rate out Balance Law 𝑛𝑒𝑑 π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘œπ‘“ π‘Ž π‘ π‘’π‘π‘ π‘‘π‘Žπ‘›π‘π‘’ = π‘Ÿπ‘Žπ‘‘π‘’ 𝑖𝑛 βˆ’ π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘’π‘‘ Example : 1. The decay process of radioactive elements 2. Births and deaths in population 3. Pollution into and our of a lake or river, or the atmosphere 4. Drug asimilation into and removal from the bloodstream
  • 3. Exponential decay and radiometric dating  Essential to the understanding of our history (find the approximately date) RADIOACTIVE MATERIAL Emitted particles Asumption : 1. The amount of an element present is large enough so that we are justified in ignoring random fluctuations. 2. The process is continuous in time 3. There is a fixed rate of decay for an element 4. There is no increase in mass of the body of material. π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘œπ‘“ π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘Žπ‘π‘‘π‘–π‘£π‘’ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘–π‘Žπ‘™ π‘Žπ‘‘ π‘‘π‘–π‘šπ‘’ 𝑑 = βˆ’ π‘Ÿπ‘Žπ‘‘π‘’ π‘Žπ‘šπ‘œπ‘’π‘›π‘‘ π‘œπ‘“ π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘Žπ‘π‘‘π‘–π‘£π‘’ π‘šπ‘Žπ‘‘π‘’π‘Ÿπ‘–π‘Žπ‘™ π‘‘π‘’π‘π‘Žπ‘¦π‘’π‘‘
  • 4. Formulating the differential equation Let N(𝑑) be the mass (in gram) of radioactive atoms at time 𝑑 and let βˆ†π‘‘ be a small change in time. The change number of atom is proportional to the number of atom at the start of the time period. 𝑁 𝑑 + βˆ†π‘‘ = 𝑁 𝑑 βˆ’ π‘˜π‘ 𝑑 βˆ†π‘‘, 𝑁 𝑑0 = 𝑁0 where π‘˜ is a positive constant of proportionality indicating the rate of decay per atom in unit time (decay constant). If βˆ†π‘‘ is small enough (βˆ†π‘‘ β†’ 0), then 𝑑𝑁 𝑑𝑑 = βˆ’π‘˜π‘, 𝑁 𝑑0 = 𝑁0 Initial value Problem (IVP) Use the separation variable technique to solve the equation ! 𝑡 𝒕 = 𝑡 𝟎 π’†βˆ’π’Œ(π’•βˆ’π’• 𝟎) Since 𝑑 βˆ’ 𝑑0 > 0 then lim π‘‘β†’βˆž 𝑁0 π‘’βˆ’π‘˜(π‘‘βˆ’π‘‘0) = 0 𝑁(𝑑) is a monoton decreasing function
  • 5. Substance 𝑯𝒂𝒍𝒇 βˆ’ π’π’Šπ’‡π’†(𝝉) Xenon-133 5 days Barium-140 13 days Lead-210 22 years Strontium-90 25 years Carbon-14 5568 years Plutonium 23103 years Uranium-235 0.707x109 years Uranium-238 4.5 x 109 years Experimentally measured for the half-life (𝝉) Half-Life (𝜏) is defined as the time taken for half of a given quantity of atoms to decay. If 𝑁 𝑑0 = 𝑁0 then 𝑁 𝜏 = 𝑁0 2 Find the value of decay constant (π’Œ) for Carbon-14 ! In General, π‘˜ = ln 2 𝜏
  • 6.  Residence time is defined to be the mean time that an individual particle is in the compartment. 𝑑𝑁 𝑑𝑑 = βˆ’π‘˜ 𝑁  π‘˜βˆ’1 is the residence time for a single compartment where π‘˜ is the constant rate of 𝑁. 𝑡 𝒕 = 𝑡 𝟎 π’†βˆ’π’Œ(π’•βˆ’π’• 𝟎)  The fraction of particles remaining in the compartment at time 𝑑 is given by π‘’βˆ’π‘˜(π‘‘βˆ’π‘‘0).  The quantity 𝐹 𝑑 = 1 βˆ’ π‘’βˆ’π‘˜π‘‘ represents the probability an individual particle has left the compartment by time 𝑑 (cumulative probability function for the time each particle was in the compartment) 𝑭 𝒕 = 𝑷𝒓 𝑻 < 𝒕  𝑇 is the random variable representing the time for each period. Residence time
  • 7. Study Case :Lascaux Cave Paintings In the Cave of Lascaux in France there are some ancient wall paintings, believed to be prehistoric. Using a Geiger counter, the current decay rate of C14 in charcoal fragments collected from the cave was measured as approximately 1.69 disintegrations per minutes per gram of carbon. In comparison,for living tissue in 1950 the measurement was 13.5 disintegration per minute per gram of carbon. How long ago was the radioactive carbon formed (the Lascaux Cave painting painted)? ANSWER : Let 𝑁(𝑑) be the amout of C14 per gram in the charcoal at time 𝑑. We know that 𝜏 = 5568 years (the half-life of C14), so we get π‘˜ β‰ˆ 0.0001245 per year Let 𝑑0 = 0 be the current time. Let 𝑇 be the time that the charcoal was formed, and thus 𝑇 < 0. For 𝑇 < 𝑑 < 𝑑0, the C14 decays follow the function 𝑁 𝑑 = 𝑁0 π‘’βˆ’π‘˜π‘‡ We don’t have the 𝑁(𝑇) or 𝑁0, but we have 𝑁′ 𝑇 = 𝑁′(𝑇) 𝑁′(0) = 𝑁(𝑇) 𝑁0 Thus, we get 𝑇 = βˆ’ 1 π‘˜ ln 𝑁 𝑇 𝑁0 = βˆ’16690 years ago
  • 8. Salt dissolved in a tank tank salt inflow salt outflow π‘Ÿπ‘Žπ‘‘π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘œπ‘“ π‘ π‘Žπ‘™π‘‘ π‘šπ‘Žπ‘ π‘  𝑖𝑛 π‘‘π‘Žπ‘›π‘˜ = π‘Ÿπ‘Žπ‘‘π‘’ π‘šπ‘Žπ‘ π‘  π‘œπ‘“ π‘ π‘Žπ‘™π‘‘ π‘’π‘›π‘‘π‘’π‘Ÿπ‘  π‘‘π‘Žπ‘›π‘˜ βˆ’ π‘Ÿπ‘Žπ‘‘π‘’ π‘šπ‘Žπ‘ π‘  π‘œπ‘“ π‘ π‘Žπ‘™π‘‘ π‘™π‘’π‘Žπ‘£π‘’π‘  π‘‘π‘Žπ‘›π‘˜ 𝑑𝑆 𝑑𝑑 = 10𝑐𝑖𝑛 𝑑 βˆ’ 1 10 𝑆(𝑑), 𝑆 0 = 𝑠0 Balance law A large tank contains 100 litres of salt water. Initially 𝑠0 kg of salt is dissolved. Salt water flows into the tank at the rate of 10 litres per minute, with the concentration 𝑐𝑖𝑛(𝑑) (kg of salt/litre) of this incoming water-salt mixture varies with time. We assume that the solution in the tank is thoroughly mixed and that the salt solution flows out at the same rate at which it flows in: that is, the volume of water-salt mixture in the tank remain constant. Use the technique of integrating factors to solve IVP equation above! 𝑆 𝑇 = 𝑠0 π‘’βˆ’π‘‡/10 + 10π‘’βˆ’π‘‡/10 0 𝑇 𝑐𝑖𝑛(𝑠)𝑒 𝑠/10 𝑑𝑑
  • 9. Lake Pollution Models Mass of pollutant in lake Mass inflow Mass outflow Polluted river water, pollution dump into the lake Water flows from the lake carrying some polution with it π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘π‘œπ‘™π‘™π‘’π‘‘π‘Žπ‘›π‘‘ π‘šπ‘Žπ‘ π‘  𝑖𝑛 π‘™π‘Žπ‘˜π‘’ = π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘π‘œπ‘™π‘™π‘’π‘‘π‘Žπ‘›π‘‘ π‘’π‘›π‘‘π‘’π‘Ÿπ‘  π‘™π‘Žπ‘˜π‘’ βˆ’ π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘π‘œπ‘™π‘™π‘’π‘‘π‘Žπ‘›π‘‘ π‘™π‘’π‘Žπ‘£π‘’π‘  π‘™π‘Žπ‘˜π‘’ Assumption : 1. The lake has a constant volume 𝑉 2. The lake water is continuously well mixed so the pollution is uniform throughout Let 𝑀(𝑑) is the mass of the pollutant in the lake Let 𝐢(𝑑) be the concentration of the pollutant in the lake at time 𝑑. Let 𝐹 be the rate at which water flows out of the lake in m3/day. Let 𝑐𝑖𝑛 is the concentration g/m3) of the pollutant in the flow entering lake 𝑑𝑀 𝑑𝑑 = 𝐹𝑐𝑖𝑛 βˆ’ 𝐹 𝑀 𝑑 𝑉 𝑑𝐢 𝑑𝑑 = 𝐹 𝑉 𝑐𝑖𝑛 βˆ’ 𝐹 𝑉 𝐢, 𝐢 0 = 𝐢0
  • 10. Problem : How long it will take for the lake’s pollution level to reach 5% of its initial level, if only fresh water flows into the lake ? Implement the result for the cases below a. Consider Lake Eric with 𝑉 = 458 Γ— 109 m3 and 𝐹 = 480 Γ— 106 m3/day = 1,75 x 1011 m3/year. b. Consider Lake Ontario with 𝑉=1636 x 109 m3 and 𝐹 = 572 Γ— 106 m3/day = 2,089 x 1011 m3/year. a. t0.05 = 7.8 years b. t0.05 = 23.5 years Although the flow rate in and out of Lake Ontario is similar to Lake Erie, it takes significantly longer to clear the pollution from Lake Ontario due to the larger volume water in Lake Ontario.
  • 11. Drug Assimilation into the blood  The drug dissolves in the gastrointestinal tract (GI-tract) and each ingredient is diffused into bloodstream.  Drug carried to the locations in which they act and are removed from the blood by the kidneys and the liver. GI Tract Blood Drug intake digestion tissues π‘Ÿπ‘Žπ‘‘π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘” 𝑖𝑛 𝐺𝐼 π‘‘π‘Ÿπ‘Žπ‘π‘‘ = π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘” π‘–π‘›π‘‘π‘Žπ‘˜π‘’ - π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘” π‘™π‘’π‘Žπ‘£π‘’π‘  𝐺𝐼 π‘‘π‘Ÿπ‘Žπ‘π‘‘ π‘Ÿπ‘Žπ‘‘π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’ π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘” 𝑖𝑛 π‘π‘™π‘œπ‘œπ‘‘ = π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘” π‘’π‘›π‘‘π‘’π‘Ÿπ‘  π‘π‘™π‘œπ‘œπ‘‘ - π‘Ÿπ‘Žπ‘‘π‘’ π‘œπ‘“ π‘‘π‘Ÿπ‘’π‘” π‘™π‘’π‘Žπ‘£π‘’π‘  π‘π‘™π‘œπ‘œπ‘‘ Let π‘₯(𝑑) be the amount of a drug in the GI-tract at time 𝑑. Let 𝑦(𝑑) be the amount of a drug in the bloodstream at time 𝑑.
  • 12. A single cold pill  There is no ingestion of the drug except that which occurs initially.  Assumption : 1. The output rate of GI-tract is proportional to the drug concentration, which is proportional to the amount of drug in the bloodstream 2. In the bloodstream, the initial amount of the drugs is zero. The level increases as the drug diffuses from the GI-tract an decreases as the kidneys and liver remove it. 𝑑π‘₯ 𝑑𝑑 = βˆ’π‘˜1 π‘₯, π‘₯ 0 = π‘₯0 𝑑𝑦 𝑑𝑑 = π‘˜1 π‘₯ βˆ’ π‘˜2 𝑦, 𝑦 0 = 0 where π‘₯0 is the amount of a drug in the pill, π‘˜1 and π‘˜2 are positive contant of proportionality. The cold pill is made up of a decongestant and an antihistamine, which are define the value of π‘˜1 and π‘˜2. Decongestant Antihistamine π‘˜1 1.3860/hr 0.6931/hr π‘˜2 0.1386/hr 0.0231/hr π‘₯ 𝑑 = π‘₯0 π‘’βˆ’π‘˜1 𝑑 𝑦 𝑑 = π‘˜1 π‘˜1 βˆ’ π‘˜2 π‘’βˆ’π‘˜2 𝑑 βˆ’ π‘’βˆ’π‘˜1 𝑑
  • 13. A course of cold pills  We take a course of pills rather than just one.  There is a continuous flow of drugs into the GI-tract 𝑑π‘₯ 𝑑𝑑 = 𝐼 βˆ’ π‘˜1 π‘₯, π‘₯ 0 = π‘₯0 𝑑𝑦 𝑑𝑑 = π‘˜1 π‘₯ βˆ’ π‘˜2 𝑦, 𝑦 0 = 0 where 𝐼 is a positive constant represnting the rate of ingestion of the drug (g/hr). The analytic solution was π‘₯ 𝑑 = 𝐼 π‘˜1 1 βˆ’ π‘’βˆ’π‘˜1 𝑑 𝑦 𝑑 = 𝐼 π‘˜2 1 βˆ’ 1 π‘˜2 βˆ’ π‘˜1 π‘˜2 π‘’βˆ’π‘˜1 𝑑 βˆ’ π‘˜1 π‘’βˆ’π‘˜2 𝑑 * This solution is valid only if π‘˜1 β‰  π‘˜2.
  • 14. Dull, dizzy, or dead?  Australian law prohibits driving of vehicles (including boats and horse) for those with BAL (blood alcohol level) above 0.05. This the relates to 50mg/100ml alcohol in the bloodstream.  This restriction is a result of U.S statistics which indicate that a person with a BAL of 0.15 is 25 times more likely to have a fatal accident than one with no alcohol. Furthermore, for 41% of Australian men excessive alcohol leads to confrontational behaviour. BAL Behavioural effect 5% Lowered alertness, usually good feeling, release of inhibitors, impaired judgement Dull and dignified 10% Slowed reaction times and impaired motor function, less caution Dangerous and devilish 15% Large consistent increases in reaction time Dizzy 20% Marked depression in sensory and motor capability, decidedly intoxicated Disturbing 25% Severe motor disturbance, staggering, sensory perceptions greatly impaired, smashed Disgusting and dishevelled 30% Stuporous but conscious, no comprehension of what’s going on Delirious and disoriented 35% Surgical anaesthesia, minimal level causing death Dead drunk 40% 50 times the minimal level, causing death Dead !
  • 15. β€’ The alcohol intake into the GI-tract is β€œcontrolled” by the drinker. The amount of alcohol subsequently absorbed into the bloodstream depends on the concentration of alcohol, other liquid and food in the GI-tract, as well as on the weight and sex of the individual. Alcohol is removed from the bloodstream at a constant rate by the liver. This is independent of the body weight, sexm of the individual and concentration of alcohol in the bloodstream and assumes that the liver has not been damaged by large doses of alcohol. (Ignoring that a small percentage leaves through sweat, saliva, breath, and urine. This means BAL estimate may be slightly above the true value). β€’ Let 𝐢1(𝑑) be the concentration of alcohol in the GI-tract at time 𝑑. Let 𝐢2(𝑑) be the concentration of alcohol in the bloodstream at time 𝑑 𝑑𝐢1 𝑑𝑑 = 𝐼 βˆ’ π‘˜1 𝐢2 𝑑𝐢2 𝑑𝑑 = π‘˜2 𝐢1 βˆ’ π‘˜3 𝐢3 𝐢2 + 𝑀 β€’ In the case of drinking on an empty stomach, π‘˜1 = π‘˜2 β€’ If drinking occurs together with a meal (or is diluted) then π‘˜1 > π‘˜2