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MULTIBURST FALLOUT MODEL FOR OPERATIONAL TYPE STUDIES. (U) MAR 81 J F CRANDLEY UNCLASSIFIED AFIT/6ST/PH/GM-1 NL IIuuuuuuuum MlEELhEEllIEE I.E.E.E."-'.l IIIIIIumIIIIIu IIIIIIIIIIII EKEli ..
Transcript
Page 1: MULTIBURST FALLOUT MODEL FOR OPERATIONAL TYPE … · multiburst fallout model for operational type studies. (u) mar 81 j f crandley unclassified iiuuuuuuuum afit/6st/ph/gm-1 nl mleelheelliee

MULTIBURST FALLOUT MODEL FOR OPERATIONAL TYPE STUDIES. (U)MAR 81 J F CRANDLEY

UNCLASSIFIED AFIT/6ST/PH/GM-1 NLIIuuuuuuuumMlEELhEEllIEEI.E.E.E."-'.lIIIIIIumIIIIIuIIIIIIIIIIII

EKEli ..

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~W . .~-4 .~ .-

auf

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AFIT/GST/PHi/81NI-l

NTIS 1,:F AIDTIC TAL$

JU * ~C: '.- --By-I

A MIJLTIBURST FALLCUT MODEL

FOR OPERATIONAL T1YPE SVJDIES

THESIS

John F. Crandley, Jr.AFIT/GST/PH-/81M-l Capt USAF

Approved for Public Release; Distribution Unlimtited

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AFIT/GST/PH/81M- 1

A MULTIBURST FALLOUT NODEL

FOR OPERATIONAL TYPE STUDIES*

I ~ THESISA

Presented to the Faculty of the School of Engineering

of the Air Force Institute of Technology

Air University

in Partial Fulfillment of the

Requirements for the Degree of

Master of Science

by

/6 John F./Crandley, Jr., B.S.

Capt USAF

Graduate Strategic and Tactical Sciences

) March 1981

Approved for Public Release; Distribution Unlimited

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Pre face

The study of radioact ive fallout from nuclear detonalio s

is of great interest in this t ifne of debate over the pcijo .cd

MX missile field. A counterforce attack against this complex

could consist of thousands of large yield nuclear weapons

detonated on or near the ground. Such aIn attack could have

more far-reaching consequences than most mi itary planers

consider. A highly survivable, mobile missile system would

have little value to the millions of people killed from the

fallout produced by such a counterforce attack.

Presented within is a simple, efficient procedure for

accurately determining this collateral damage of fallout for

any scenario involving many bursts. This method i- designed

for an operational planner to easily "scope thc oblem"

without utilizing much computer time.

I am grateful to Dr. Charles J. Bridg.nan for his guidance

in the development of this procedure, and to !.y lovely wife,

Michaela, for ter patience and support.

John F. Crandlev, Jr.

(This thesis wns typed by Sharon A. Gbriel)

ii

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* ConteOnt S

Pa ge

Preface-------------------------------------------------- ii

List of Figures------------------------------------------ iv

Abstract------------------------------------------------- v

1. Introduction---------------------------------------1I

II. Calculation of the Multiburst Distribution --------- 4

f(y,t) for Multiple Bursts-------------------- 5

Il1. Validation of the Multiburst Distribution --------- 12

Scenario--------------------------------------- 12Description of Superpositioning Procedure 13Description of Multiburst Procedure ------------ 14Comparison of Multiburst to Superposition--- 14

IV. Employment of Multaburst Code ---------------------- 23

Scenarios------------------------------------- 23Results----------------------------------------25S

V. Conclusions and Recommendations-------------------5S9

Recommendations------------------------------- 60

Bibliography--------------------------------------------- 61

Appendix A: Fortran Code MULTI------------------------- 62

Vita----------------------------------------------------- 77

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L.ist of Fic, r.i

Fi 'ure Page

1 Multiple Bursts -s Viewed ------- d-- ------- 7From Downwind

2 FY versus '- ------------------------------- 10

3 Cumulative Activity-Size DistributionCurves ------------------------------------ 15

4 WSEG Comparisons -------------------------- 16-18a thru c

S AFIT Comparisons -------------------------- 19-21a thru c

6 Average Summer Wind Contours -------------- 27-34a thru h

7 Average Winter Wind Contours -------------- 35-42a thru h

8 Scrong Swmimer Wind Contours --------------- 43-50a thru h

9 Strong Winter Wind Contours ---------------- 51-58a thru h

iv

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AFIT/GST/PH/81MI

Abstract

A method is developed for calculating fallout deposition

downwind from a massive nuclear attack on a small target

area over a short time span. This is accomplished using

existing smear codes and replacing their existing horizontal

activity distribution with an approximating function. This

function is the difference between two cumulative normal

functions which are shown to result from superposition of

individual bursts. A comparison is made between the contours

predicted by this new code and contours predicted by the old,

time-consuming, iterative procedures. The new code has been

employed in several different scenarios involving the proposed

MX field to determine the resulting dose contours from a

massive attack against that field.

V

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A MULTIBURST FALLOUT MODEL

FOR OPERATIONAL TYPE STUDIES

I. Introduction

A new Intercontinental Ballistic Missile (ICBN) system

will be deployed in the Western United States within the

next several years. This new system, designated the MX,

will greatly enhance the survivability of the land-based

leg of the Triad. This survivability will be accomplished

through mobility; a single missile will be shuttled ran-

domly among 23 shelters on a racetrack. The current propo-

sal calls for 200 missiles to be purchased, with 200 race-

tracks to be built in Utah and Nevada (Ref 1:3).

This method of "hiding" the MX missiles creates tremen-

dous problems in targeting for any enemy. One possible

targeting option would be to attempt to destroy as many .X

shelters in as short a time as possible. This option would

have a high probability of destroying a large percentage of

the MX missile force, while interfering with the command,

control, and communication necessary to effect a retaliatory

strike. Also of great concern is the corresponding downwind

fallout effects from such a massive strike. There are several

single burst nuclear fallout models available which could

predict this collateral effect by superposition of individual

burst fallout patterns.

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Presently there are many different individual burst

models being used by many different government agencies. Most

of these models have their analysis based on a study, done by

the Weapons Systems Evaluation Group (WSFG-10) in 1959.

However, Bridgman and Bigelow (Ref 2) have recently shown

that the heart of the WSEG calculations is in error. They

proposed an alternative method of calculation, which was

used by Colarco (Ref 3) to construct an improved single-

burst fallout code for operational type studies. Colarco's

code produces results which are closer approximations than

WSEG-10 to the Defense Land Fallout Prediction System

(DELFIC). DELFIC is considered by many to be the benchmark

of fallout computer codes..

One of the unfortunate aspects of these single-burst

codes is that they cannot easily compute the effects of

many bursts within a relatively small target area (such

as an MX field). Fallout analysis of a counterforce attack

on a missile field (or similarly distributed target) is now

done by superpositioning hundreds of individual bursts by

an iterative procedure. Because of the computer time needed

for these iterations, this is a slow and expensive process.

Also, because of computer limitations, this iaay not be a

completely accurate procedure.

In the following chapters, a method will be developed

to produce a fast-running computer code to accomplish multi-

burst calcualtions without the need for superpositioning.

2

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This code will be designed for operational use; that is,

it will be a fast, inexpensive tool for operational analysts

to use in predicting a reasonably accurate fallout deposition.

This code will then be applied to a counterforce scenario

against the MX field in Utah/Nevada. The results from this

study will then be compared to the results obtained from

using WSEG-1O calculations in the same scenario.

3

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II. Calculation of the Multiburst Distribution

WSEG-10 predicts fallout dose rates on the ground with

the following equation (Ref 4:17):

I1(x,y) = k f f(x,y,t ) g(t) dt (1)0

where k is a source normalization constant, g(t') is

the activity deposition rate, and f(x,y,t') is the

normalized horizontal activity function. This activity

function is a bivariate normal function with a time varying

standard deviation in the cross wind direction:

x-Vxtv

f(x,y,t) e . eV2-r a /'-r a (t)

(2)

where x is the downwind distance, y is the crosswind

distance, t is time and a is the standard deviation. VXx

is assumed to be a constant wind which rotates uniformly

with altitude. This results in a constant value of wind

shear for the determination of u (t)y

It can be seen that Eq (2) can be written as

f(x,y,t) f(x,t) - f(y,t) (3)

4

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. ti. this .ubsI It 'it io: it ca ii s :.uon ( c I 1) f ,.

reduces to:

g(t )f(x,y ) k - (S)

x

where t is arrival tame of the cloud and

f~y~t)= ! e Yt

It is obvious from Eq (5) that f (y ,t is a norm:ial

function describing the crosswind spread of a single nuclear

cloud. If two or more clouds are in close proximity and

merge at some point to become one large cloud, a siingle

normal function will no longer account for horizontal

activity; there will be some cumulative effect from each

contributing single-burst cloud. The fallout on the ground

from this new, large cloud will still be described by

Eq (4), except that f (y,t) will no longer be Piven by

Eq (5).

f(y,t) for 1iilt ip] Bu-rsts

If an observer were standing some dist ance downwind

from a target complex (for example, a missile field) and

was able to observe a large-scale nuclear attack en that

complex, he would initially see many single nuclear clouds

rising from the surface. If this particular attack were

S

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,,r ' r atonl dct I a t ion~s, a111 "C , cf I, t, I, :I xc r:

short t ime of one anot-er , and dist ribut ed ti iforml v a I on5

an 80 111 le line perpendicular to the wind direction, then

the observer would see 100 individual ovCerlappi ; cloud:s.

If the hoi izontal activity distribution within each cloud

along this line is given by Eq (S), then tie observor ,.,ould

see 100 normal functions, as in Figure 1. Nole thvt y is

now the crosswind distance as MCasured from the center of

the tarc;ct field.

It can be seen from Fi,.ure 1 th -at any point down,:Jnd

from this line of clouds will receive activity f-oi, not

only the single cloud directly up, ind from this point,

but also from adjoining clouds. This additional activity

becomes even more pronounced as the clouds begin drifting

with the wind as the horizontal activity standard devi at ion,

COy ,increases with time (as per the WSEG-10 analysis).

The total activity at any point downwind can be found 5;-

finding the contribution of each single cloud and addi:ng

all 100 contributions to.rether. If the standard deviation,

o , is large with respect to the intercloud distanco,

the addition operation can be replaced by an integral:

w/2 - -)

f (. t e dv (6)f -w/2 v2 ,1CY (t) o

6

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C)LO

cms

CD

-6CD r

0

CD

LL-

LI-. K-

CE

Cr)

(10

::D 0~

LI

Ole 11 ol G ~ o 0

DA

7

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where w/2 is the half-field wi dth (in the example, 40

miles) and N is the total number of bursts (here, 100).

This function can he easily evaluated if it is split into

two parts:

[Y-Yo 2

f (y,t) N e2 dy

2_ W

-w/2 1 0 2 dy (7)-O 'T-a (t) 10

yJ

which is easily transformed into

f(y, t)= I _v2 - dz

~12

(Y It !_ e 2. (8)

by letting

Y-Y

Z -- o (9)ayM

and- dy o

dz = d 0 (10)

yM

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Thus, f ()', ) for ma n I r st s is thIC d if fe re , . ...1, e

the cumoulat ive nor, ml funct ions for two di f ferent ar umcn 1

When this funct ion is used in Eq (4) the total (lose rate

for any point down.ind can be found. A gr;:ph of this

function is presented in Figure 2, with the 100 single

cloud distributions added for comparison.

Computer solutions for dose rates from Eq (4) would be

quick and simple except for the integrals in the multi-

burst f(y,t) Therefore, the following approximation

was used for the integrals in Eq (8) (Ref 9:932):

1-2P(z) = 1 -(.1968S4z + .l194z

+ .0003-14z 3 1 .019527z4) - ' (11)

where z is the upper limit of each integral . The difference

between the two integrals was then multiplicd by the number

of detonations and divided by the field width to produce a

numerical answer for f(y,t) This number was then used

in Eq (4) to produce dose rates.

As will be seen in the next chapter, dose rates from

Eq (4) using this new f(y,t) agree very well with dose rates

derived by addition or superposition. Hlowever, several cau-

tions need to be mentioned. This f(') function is meant to

be used in situations where there are many hursts in a rela-

tively small physical area. Also, the individual bursts

positioned on the field width line cannot be more than one

9

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LIT)

CD

0

100

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standard deviation apart; that is, the number of bombs

detonated in a defined area (the bomb density) must be

large enough to allow the multiburst f(y) function to

approximate the cumulative effect. Smaller bomb densities

must be treated as an aggregation of single bursts.

11

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III. Validation of the Multiburst Distribution

Any model must, by necessity, be shown to actually

conform to the reality it purports to represent. There are

several ways in which a model can be validated, with most

validation methods comparing model results to actual data.

As there is little data available on downwind fallout

dosages from multiple bursts, a different approach was

necessary. This involved a comparison between the results

of the new model and results derived from an iterative

superpositioning method of the same scenario.

Scenario

A scenario involving a counterforce attack against the

missile field at Whiteman Air Force Base, Missouri (Ref 7:32)

was used as a basis for comparison. This particular missile

field encloses 150 silos in an area roughly 90 miles on a

side. Two one-megaton devices were then simultaneously

detonated at each silo, for a total of 300 bursts. These

300 bursts were then distributed evenly on a 98 mile line

perpendicular to the average west wind of 20 miles per hour,

anci a shear of one per hour. Fifty percent of the yield of

each burst was from fission. The coordinates of the contour

lines of the following unit time reference dose rates were

then computed: 1000 roentgen/hour (r/hr), 500 r/hr, and

100 r/hr.

12

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Description of Superpositioning Procedure

A single burst code similar to Colarco's model (Ref 3)

was used for the iterative procedure. A grid was established

with 2000 miles on the x (downwind) axis and 182 miles on

the y (crosswind) axis. The x axis was broken down into

201 increments, while the y axis was divided into 27.

For more efficient computer operation, the 150 silos were

broken down into 15 groups of 10 silos per group. These

15 groups were then placed on grid line x = 6 and on every

grid line between y = 7 and y = 21 , resulting in 15

silo groups evenly distributed on a north-south line 98

miles long. To simulate 20 bursts at each silo group, the

computed single-burst dose rate at each silo group was

multiplied by 20. The superpositioning method, then, was

accomplished by stepping from point-to-point on the grid

and calculating and adding the contribution of dose rate

from each silo group to that point.

Machine limitations dictated the coarseness of the grid.

Consequently, there was a reduction in accuracy. A summation

of all grid points did not total up to the entire activity

produced by the detonations; approximately five percent of

the activity was missing. This missing activity was not

deemed important to the comparisons, and is believed to be

the result of the coarse grid at the extreme downwind limits

of the fallout field.

13

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Descript ion of '.:ult iburst Procedure

Results using the new model were obtained using the

multiburst code shown in Appendix A. The required inputs

were inserted, and the coordinates for the desired contours

produced. No machine limitations were encountered using

this model.

Comparison of ..' ultiburst to Superpos it ion

The comparison was made using the same inputs: 300

one-megaton bursts, each with SO percent of its yieid-1

from fission; wind of 270/20 with a shear of one hr

field width of 98 miles. The contours obtained were for

doses of 100, 500, and 1000 r/hr.

Two different sets of contours were dra-,n far two

different particle size-activity distribution curves. The

WSEG contours use a size-activity curve with paramc-ters of

a = 44 and Zn = .690 A second set of contours was

generated using size-activity curve parameters of a - 37

and kn = 1.528 These parameters more closely resemble

those used by the DELFIC model (see Figure 3S. All calcu-

lations using these parameters and the Bridgmn,'Bi..eluw

procedure for activity deposition rate (Ref 2:29-,) ,ill

be termed AFIT calculations.

Figures 4 a through 4c show the three desired contour

comparisons using the WStG formulation for activity depo-

sition rate, while Figures Sa through Sc show the same

14

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//

/

1000

100 _ _ _ _

.r-I0 =44

U ZO .6

10DEF 1C

/AFIT

a = 37Zn = I .52S

Percentage

Figure 3. Cumulative Activity-Size Pistrilntion Curves

is

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CD

V)

CD 0ICD.

z 0

P-4

LI0CfC)

C.9)

30UOI CNN)SO

C516

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Q

zcCD (,r) o

D

LO~

CD L

ci:(.D'

Li] 0Mz

(f)C)

00Goo Q.QG 010 O- 01001-

17

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c:3 n o

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Ul C

IDCD)

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OO&SE Gloat GIGS 010 olOs- OG001-0si-3NYIS1O GN1NSSOK

18

Page 27: MULTIBURST FALLOUT MODEL FOR OPERATIONAL TYPE … · multiburst fallout model for operational type studies. (u) mar 81 j f crandley unclassified iiuuuuuuuum afit/6st/ph/gm-1 nl mleelheelliee

CDV),

zC )-Dc cn~

I IC30

0 0CDCD L

ci::

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0S~ 013 L' OOrz01 00- 01001-

T'NUIU 6IKO

Page 28: MULTIBURST FALLOUT MODEL FOR OPERATIONAL TYPE … · multiburst fallout model for operational type studies. (u) mar 81 j f crandley unclassified iiuuuuuuuum afit/6st/ph/gm-1 nl mleelheelliee

C)

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M D

',

[LIO

c-f)- c~ct

CD

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OOsz 010 olsz- olos1-30NUISIO ONINGSOK

21

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comparison using the AFIT activity depos i tioni foriulat ion

As can be seen, these conparisons of superpositioning and

the multiburst code are in good agreerment. For the s:maller

dose rates there is a difference in the crossw,'ind deposition

of activity as downwind distance increases from ground zero.

This discrepancy is due to the wy the 300 bursts are distri-

buted in the superpositioning procedure; that is, the 15

groups of 20 detonations more closely resemble fifteen

20-megaton detonations. This aggregate cloud will taper off

much more than an aggregate cloud of 300 one-megaton bursts,

as shown by Figure Sc. Consequently, the multiburst contours

are considered to be more accurate.

22

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IV. Emplovment of the Moulti Coi

To demonstrate the ease with which this new mode] can

be used, the fallout patterns from a counterforce attack on

an NIX field were generated. Several different scen.:rios

were devised, and the appropriate inputs made to the code

MULTI, which is listed in Appendix A. MULTI incoiporates

the multiburst f(y,t) distribution developed in Chapter

II. An interesting feature of this code is the abi1itv to

use either the WSEG g(t) (activity deposition rate) or

the AFIT g(t) in dose/dose rate computations. Therefore,

for all scenarios, a comparison study was made of contours

generated using the two different g(t)'s

Scenarios

The MIX field, consisting of 4600 shelters, is proposed

to be situated in the states of Utah and Nevada. Several

different scenarios were created around these shelters,

based on several parameters. These parameters i-clude th

number of attacking reentry vehicles (R%), the yield and

fission fraction of each RV, and the average continental

winds. Two different dose contours were generated for each

dose using the two different g(t)'s Based on all these

variables, a total of 64 plots (or 32 comparisons) were

created.

2 3

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To simulate a full, counterforce attack, 4600 RV's

were targeted against the MX field. The crosswind width of

this field was estimated at 190 miles. The yield of each RV

was allowed to be one of two values: either one megaton or

500 kilotons. These yields are commensurate with the war-

head yields of Soviet ICBM's. A 50 percent yield due to

fission was assumed for each warhead. As another comparison,

the number of RV's was decreased to 2300 with warhead yields

remaining the same.

Several average winds were obtained (Ref 8) for the

continental United States as a whole at an altitude of

40,000 feet. All winds were from the west (2700) and had

different velocities based on the season. An average summer

wind had a velocity of 35 miles per hour (or written as

270/35), while an average winter wind was given as 270/77.

Strong seasonal winds were derived by adding one standard

deviation to the average winds. This resulted in a strong

summer wind of 270/70 and a strong winter wind of 270/119.

These winds were then applied to each scenario.

Two different dose contours were generated for each

scenario, the doses being 1500 and 500 rems. Since most

single story residences above ground have a protection factor

of three (Ref 7:33), the 1500 rem contour represents 500 rems

indoors. Five hundred rems is considered to be the dosage

necessary to produce 50 percent fatalities in 30 days

(Ref 7:32).

24

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Fatalities will not be estimated in the following

comparisons. However, the contour lines do enclose the

areas of high fatalities from fallout. Major cities down-

wind from the bursts are delineated on the figures for

easier reference. It will be obvious that the WSEG formu-

lation significantly underestimates these areas of high

fatalities.

Results

Sixty-four computer runs were made interactively

using a CDC 6600 computer. Average compilation time was

1.8 seconds with average execution time of 1.5 seconds.

The 64 runs were then combined into 32 comparative graphs.

These 3K figures were arranged in four groups according

to wind velocity. Figures 6a through 6h have a common wind

of 270/35 (average summer). The second group, Figures 7a

through 7h, has a wind of 270/77 (average winter), while

Figures 8a through 8h have a slightly lower wind of 270/70

(strong summer). The strong winter wind group, Figures 9a

through 9h, is last with a wind of 270/119. All winds have

a shear of 1/hr.

It is obvious from all comparisons that the WSEG

contour lines encompass much less area than the AFIT contour

lines. This is a direct result of the Bridgman/Bigelow

method of computing g(t) and of the parameters used for

25

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the particle size-activity distribution curva. Colarco

showed the same kind of result, only for a single-burst

model.

It is interesting to note that the WSEG contours are

probably close approximations to the contours generated by

the Department of Defense (DoD) in their predictions of

fatalities from an MX field attack; the same basic WSEG

formulation is used. Consequently, the estimation of

resulting fatalities is not as high as it would be if the

AFIT contours were used, especially in the low wind situa-

tions. As the wind increases and the WSEG contours finally

stretch into the Atlantic Ocean, the number of fatalities

predicted by WSEG and AFIT will be about the same as the

enclosed population is equal.

26

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AFIT DOS-E

za-

L

ME-

12E--~WI3NSS~N -

LONG ITUDE

SO RiICOTOR.WN-20/G 460DO"8RSS

Piuc6.AcLcSumriinCnor

L27

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AFT DOS"E __

I 2S w l1Gw iOSlaw sw 85 0w 7S w G'w

LONG ITUDE

NSEG DOE ___ __

Ln

12SHw 115 w 105 w 65 w 75N 65 W

LONGITUDE

500 REMh CONTOUR. NINLI-270/35. 2300 fliT 5kLP\ST'S.

Figure 6b. Average Summer Windh Cont ours

28

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L

0=37

Ln

12S __i D w9 sw s: bi

LONG ITUDE

500RE COTOR.WN-20/G 460SE BFSS

Fiue6.AeaeSmezil1Cnor

dL29

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AFIT DOSE'

z

"12S W I~ I "w isw q s s w 6!!w

LONGDI TUDE

NSEG [JOSE-

0

cI

I f)

Tsc , w] 25° W US5 H 1O5 W S3£IW 65 W 7' 6

LONGITUDE

500 REMI CONTOUR. NIN-270/35. 2300 .SrL- r"'NST5,

Figure 6d. Average Summer Wind Cont our.;

30

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AFIT- DCSZ)L

Ln

LONGI TUDE

zi

Li

k-4

125 N 91s w IO5Y 9 0 w5 GS' W

LONG ITULD E

1500 REM CONTOUR. WIN-270/35. 4600 ItIT TFSTS,

FiIgurc 6e. Ave'rage surnnicr windl Canit t;

31

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0z

0

12SW 11G lira w~ 850 q; sw 7S w ^S

LONGITUDE

NSEG DJO"F

zV

125 14 11 N 105 N 9S5'N wA

LONGITUDE

1500 REM CONTOUR. WINO-270/35. 2-300 1K" Z -. TS.

Figure 6f. AvcraV SSrn P1JCot(!

32

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C)

E-4

CIS

12S~ W 31s w os W 9s w 85w

LONG IT UDUE

Lo

LI

CIOLON I TUDLZ

1500 K ~i? K~i)IO3.40 SS

CO 11 (a t LOUI

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12S 11 lis w IO~ BSW q

__W [S EG DG0SE

z

L _

CD

125 14 11$ w 105 w 95~ w5 85WI w 65

LONGITUDE

1500 REMI CONTOUR. WIND-270/38. 2700 .5;'IT BURSTS.

Figure 6h. A\verage Summer wind Contours

34

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H9lT T051

Li

12S 11 W 1S0WLONGITUDE7S W

____ SEO DOSE___

CD)

12S w 115 VN 1OS w 9s0 W 65 w 75 W 65qr

LONGITUDE

500 REM CONTOUR. NIND-270/77. 4600 1MT BURSTS.

Figure 7a. Average Winteor Ifinc Contours

3S

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________I AFT [Dh T

L 0 NO a 7 1G

_______ WSEG DOSE

do

I-4,

125 w lis ic' H 95w 65vi w65,1

LONGI1TUDE

500 REM1 CONTOUR. NINI-270/77. 2300 1111[2~TS

Figure 7b. Average Wljintoir W1ind (:anltOwI

36

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AHF'IT C OSE ___

L1)

L)

Z

" 2S 0 W 115 a w os 0w 9s, w W 5b 7S ww

LONGITUDE

NSEG DOSE____

Ln

eU-

CD

:

125 w w 10,5, w S f~w 6

LONG ITUDE

S00 REM CONTOUR. W-UND-2/?/77. 4600C J iOSS

Figure 7c. Avera e Wi ntI or W inrd Cmit

37

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AFIT DSE

E--4

z

12S w 11GW w 050 w 9s W BS J, s

LO0NG I TUD E

500RE COTOR.WNSE0/7 230OSE L~3S

Fiue7 vracW:to Wn oti.

L38

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AFJTG OSE

z

4 -

m 2S w 1~ IOS as 7S w GSLONG~ITUDE

NSEG DOSE-__

0

LONG ITUDE

1500 REM CONTOUR. WINO'-270/77. '600 1MT E3UFnSTS.

Figure 7c. Average, wintrer wind Contours

39

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A FIT BoSE

L)

44

12S W 115 w ID 25 9W 85 w 75W G5 W

LONG ITUDE

NSEG 9\

z

L)

-4

LONG ITUDE

1500 REM CONTOUR. WlNO-270/77. 2300 1I' [i'bi'STS.

Figure 7f. Average Vint ir Wind Conitour.-

40

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AFIT LOSEL7

z

-4

12s W 1s1w losw 9s w Bs8w 7S w w

LONGITUDE_SEG DOSE

z

Ln

C

1-4k-4

'In14 a

12 0 W 9 5N w 5b7w

LONGITUDE

1500 REM CONTOUR. WIND'270/77. 4600 .Si'I 6USTS.

Figure 7g. Average Winter Wind Contours

41

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AF ITP "

11 1

12S w ls w 105w 9S w 85,w 7S w CS, w

LONGITUDE

WNSEG DOSE

zao

ini125 N I1 is 1050 w 9S" 65 w 65~ w

LONGITUDE

1500 REM CONTOUR. WIND-270/77. 2300 D5)U i3UTS.

Figure 7h. Average Wiuter Wini Coll olrs

42

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PL F _I___Dn

S -4

12S0 w I1row IO DS w 2s s w 7S w sw

LONG ITUDE

NSEG DOSE

LI

LONG ITUDE

SOO REM1 CONTOUR. NIN-270/70. 4660 1li LATS

F i gtirc a. St rong Suirmer Wind Cont olnr

43

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PF'TTr D2C'-'

F__ Fil D, LLo

126 W I I N los 0 90 w 8s W 7S w G w

LONGITUDE

- SEG DOSE

z

.1-4

1 I25° ]Iw 11 I05 w 95N 65N w: 5I 6 ii

LONGI'rUDE

SOO REM CONTOUR. WIND-270/70. 2300 1HlT El2S."

Figure 8b. Strong Summer 1i,'nd Cant ou s

.14

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n'IT DOUSE

zLn~

Lo

12S aw 1is w tos 0w g9 w 85 w 7.'-)w Gsw

LONGITUDE

1WSJEG DOSE _

1z

Li

LONGITUDE

500 REM CONTOUR. WIND-27O/70. 4600 .51FH§TS

Filgure 8c. St rong summor windl con or v-

4S

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RHiFTIT DJJ E____

JL)

12S w 1w I DS W 9OSs 14 85w 7S W

LONGITUDE

____WSEGOSE

64

Ln

z

125 w 115 N 105 0 9s W 850 N~r

LONG ITUDE

500 REM CONTOUR. WINU-270/70. 2300 r-M'F BIUPSTS.

Figure 8d. St rong Summer Wind Contours

46

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rF _ _ _ _ _ r- , :I ;" '-, f-

' I

~44

: L

Ej-4

(No a D 0 a12S W II W IcS w es W 8S? 7S w 1

LON9 I TUDE

NSEG DOSE

dd

LONG I TU0

1500 REIM CONTCUF. NIND-270/70. 4600 iMY {YK!STS.Figure Be. Strong Wuninr Wind Cont ours

47

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-)

Li

a:

( 0 0 ISr12-5 w 11S wC~ 950W 85 gs w B wWcwLONGITUDE

1500~~~W G'M COTOD WD200 S~C E MUSS

Fi ur 4f tr ng S m e W c oi-o v

0048

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AfI DO(SE1

z0

LONG ITUDE

NlSEO DOSE

0n

125w 15 lUS w S 95w5os

LONG ITUDE

1500 REt1 CONTOUR~. WINE-270/70. 4600CO 2SS

Figure 8g. Strong Suner Wind Cont our.-

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Lgo

12S D 6 3 1F w IDS 0 9&w UsW B Sb

LONG ITUflE

W S E ® 05E

n

225 0 110U Oj S'

LONGITUDE

1500 REMI CONTOUR,. WIND-270/70. 2300 SPT iT.

Figure 811. st rong Sunu11re r Wid out ou-

5o

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P1F IT lOSE

L

12S W is w 105 w 9SW 6w 85 N1

LONG ITUDE

NOEG DOSE

0

J--4 - - -

0

LONGITUDE

500 REh CONTOUR. WINO-270/119. 4600 INT 6LIRSTS.

Fi guirc 9a. St rong Win tcr Winjjd Contours,

51

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zLn

32 W 11 w 105 w 9sw 5wLONGITUDE

_00 REM CONTOUR DOSE20/9 2300 _1__BUSTS

Fiue9.zrn ine idCnor

ISn

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IV I

0z

LA

12S W Ils w 105 W 9S w 8,; w 7S W 65 w

LONG ITUDE

__W kS EG DOSErE_

..r1

LONG ITUDE

500 REMh CONTOUR. WINO-270!119. 460 .CI 'STS.

Figure 9c Strong Winter Wind Conto(ur.

53

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FIT DOSEL

f-4

za

V.

12S~ I1w l0 0 w 95 wS- es 6'

LONGITUDE

SOORE CNTUR WNSEG0/1 DOSE -M B, SS

Fiue9. Srnzine idCnnr

aS

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F T-'i

tJ

04

12 w 11Gw rns W 8 , Sw 7S W G! ,wLONG ITUDE

NSEG DOSE_

iiiz- _ _

LONG ITUDE

1500 RMCONTOUR. i4IND-270/1)9. 4.600 12T E3UiJ- %STLS-

l'i glrc 9c. Strom,' V'intc'r Windk Cait oiiis

S S

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AFIT 50,)L

"- _ _

11

a7

12S W It 114 Wo 0 0w 9S~ w asw 7S'4 w s 0 w

LONGITUDE

___ ___ __ SEG DOSE

0

LOGTD

1500~~ RELOTU.W~J-7/19 301T~USS

Fig-r 4f trn ito idCnor

cc 56

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RAFP.!"I DOL 0__c5-

lun, 'IX

4

LJ

LONG ITUDE

ISORE ONOR.WNSEG0119 DOSE___M" EU S T

Fiur 9g/too1.norWn otu

LjS7

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L]

12S W 11G w lnS w gs w 85 w 7S W GS W

LONGITUDE

NSEG DOSE -_

Ln

125 w 115 N 1050 N 9w 350 N 850 N

LONGITUDE

1500 REM CONTOUR. NIND-270/119. 2300 .h 5T5

Fi gure 9h. St rong Wintor Wind C7ontou r

58

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V CorcI ls i onl CCC:k onv <.tOl

fhlis paper ha s p !cC'L :1- C2 1:1('t CVh 1() 2 l 05 1- I rOU i C t i 11iP

the (lownw i ad fa)I ot klU'l C A, Y:~ c 1 a iOin

many det 01,dt iwifl 02.I 7 t ~ 2 : iC.,

which m~ust e t 'I

tact ic; I ] na -t

d~ t rI-u

pros enlt

rt n )i

t: I I I

and (I

of t i i~ ~

Vjr i ow, .

and Ith -i r (,Ir&

t ion ; wind xe Co- it l. ' 1 1

widt, ;,he I i ne o I' hurst I'S t

cular to the winad. ParTu I- I x7. (, c 1- 1, t C it v

curve mus t he entecried i f anj A F' cai uI is ; th

WSIEG parameteors are hu i I I i nt o t he c le

59J

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Recommendations

The presented code will give realistic approximations

of the downwind deposition of fallout with great speed and

ease. This is exactly what operational planners need to

make timely decisions. However, several enhancements could

be made to the program to increase its accuracy.

The first enhancement involves wind. The use of a

single, constant wind from the surface to 40,000 feet and

across the countryside is a notoriously bad approximation.

Some way must be devised to incorporate several different

winds into the model.

60

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2.Korh , Lawrence J. 'The Case for tile "'IX A> H, i2csiev ixo,351 : 2-10 (JulIy - Au ,u t I1>6S)

2. rid,,-nan, C.J. and W. S. "Aei ".- 1' ii utPrediction Mlodel for Use in Operaitiona~l Typ stl( , ,tUnp ubIi sh11e d 11raf1-t 1% Wr i~ "' t ci PI i XIrs! Al Oil: i ,Iof Engineering, Air Force 1It utc, of *Iechnolco -

3. Colair c o ,Rijc ha rd F. A Comp ei ci- F- II ut \' o d c1 1ioOperat ional. Tvpe StiudT-77,-iL-r'n i;t1ro

NFB O: ScIoo oti-I,±ee lit, Air 1'aice Insttilt oflechnology, ,IMarchi 1"80.

4 . Pugh , Gceo r~e 1- and Rober t .7 Ca I i anc A 1) n t *IC LI

Model of Close-ini I)epo.;i tcion !7a 'al iut 7i'l-ise in'7

Opera c lon ~F Fv -t u ic Cc salrC~h2 n1o. Ca 1epolln ~Vt 1 lI s I~yv at ion C' roup , I e Pen1t !u;I On

Was hi ngt on 1)C , 13 0c toh1)er 1 f9. (AD 2 .617 2)

5. Bridgman , C.j. Class lecture, 27 Maty 1980. 1v.right -Patterson AFB O1!: School of Ynineerin4g, A ir For ceInstitute of 'lechniolo>;,.

6. Drell, S.D. and F. vonilippel. "Limited Nuc cr Wvar,"Scient ific Ame rican, -2351: 27-36 (Noveimber 1970).

7. SACM 105-2, Vol. II. CInmatc)oociI Jn.VcosOm ahIia NE: St rate gic Ai~mad,3anna 1-- -1 160

8. Glasst one. S amuel and Phil in J. Dolan . The EfFects ofNucl ear Wea,:pons-, tU. S. Cove rilmcnt Print il' C cc,

-I1TJ) -, nI jr 7,4 dt ion , 1977

9.- -- - --- andboolK of :>ithc, imtc Fulic-t ions .C-di ted hv N

Print ing Of fice ,Wash Ii i1! 0AO I)', anneI 1 '4

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Apped i .\ A

I:ort r : I., C' '

This appendix Co"Itails _ h I.l o.:I PIi.,il"

-- a cop)- of t lie c ode MU LT I which ,: oiput cs

fallout contour-, d a '/ossary of the

terms used j \IPLT I;

-- A user's guide to runnin-., the compl] ed version

of tire MULTI iror.

-- a sample of output from .,>JTI and an explan-

ation of how to intcpret the output.

MULTI Code

MULTI is a derivative of SMIEAlR, a single-burst fallout

code written by Dr. Charles J. Dridgman of the Air Force

Institute of Technology. Several changes were incorporated

into SMEAR to produce MULTI, most notably the multiburst

f(y) distribution developed in Chapter II. MULTI was also

designed to be run interactively, with inputs comino,' fro:..

both the user and an attached data tape (TAPF4). The user

inputs are the parameters of the particular problem to be

studied, while the data tape consists of a table of coef-

ficients supplied by Colarco (Ref 3:67-71). The table of

coefficients is required in the AFIT calculation of g (t)

The operation of MULTI is straightforward, with all

dose/dose rate quantities being calculated as described in

62

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Chapter 11. The contour coordinates are iven in terms of

x (dowu,,m.ind distance from ]ir.e of bursts) and v (cross -

wind distince from center of field). These contour ccordi-

nates are displayed with the Output at the ter!mina;,l, and are

also written on a data tape (TAPF6). This data tape can

then be used as the input for contour dra%.-ing rout ines.

The generation of contour coordinates :s an iterative

procedure. The downwind distance x is increased by a small

amount , and the dose (or dose rate) at that x cordi mate

and the center of the field (or y 0) is then computed

and compared to the desired dose. If the computed dose is

equal to or less than this desired dose, we are either on

or outside of the desired dose contour and the v coordinate

is assigned a value of zero. If the computec dos,e is greatcr

than the desired dose, we are with-n the desired contour and

the y coordinate is increased by a small amount. A new

dose is computed for this new (x,y) position. If this

computed dose is still greater than the desired dose, the

y coordinate is again increased. This procedure continues

until the computed dose equals the desired dose; lie v

coordinate is then the total distance incremental ,, t"wiveled

from the center of the field to this equality po]-at. The

downwind distance x is increased again, and a nn, v

coordinate is determined using the same procedure. T .enty -

six pairs of (x,y) coordinates are generated to define a

desired dose contour.

63

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A glossary of terms used within the code is providCd

in Table A-1. These terms arc presented in order of

appearance within the prodrali.

User's Guhic to II]JI,11

Table A-2 shows how the parameters of a problem are

entered. The first directive sets up the internal switches

for the program:

-- M determines the type of g(t) calculation

(0 = WSJ-G; I = AFIT) ;

-- MD determines the type of output desired

(0 = dose rate; I = dose);

-- N determines the number of contours to be

generated.

The parameters of the scenario are entered next, with

the desired contour values entered first. The yield of the

attacking weapons (in megatons) and their fission fraction

are then requested, as are the average wind velocity (in

miles per hour) and crosswind shear. The number of bursts

must be entered next, along with the crosswind widIth of

the field (in miles).

If the desired contours are to be coiputed i- ter, uF

dose (that is, MD = 1), the total number of hours c, wlich

the dose is to be integrated is entered next . 1 11. i rra -

tion over time is the Way-Wign-lr approx imat ion , S'391].

If a time of infinity is desiredl, zero is the rcw:i I J input

64

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Finally, if all calculations ai'e to be made using the

AFIT g(t) (that is, "I = 1) , the parameters of the activity

size distribution curve must fe enteed. To approximate the

DEILFIC default , the parameters given in Chapter III should

be used.

Interpretation of Output from MULTI

Table A-3 is the output of the scenario entered in

Table A-2. A short summary of some of the input data is

first given. "AFIT CALCULATION" means the program ,.il1

utilize the AFIT g(t) in its computations. The yield,

fission fraction, wind and wind shear are printed out, as

is the desired dose contour. The 26 pairs of coordinate-,

for the contour are then listed. Note that this listing

is just "half" a contour; due to the symmetry of the cloud,

the other "half" of the contour has the same x coordinates

but the negative of the y coordinates.

65

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C0,11 _U- C )41 '

C~oMIlJ]' , CODEI

C TA PEC I U UR I i I.4 , VALJ S.C

CO" 4,Ck4 0 j) D ( II A; ), L n

C C i. V. 04 T:-,I 3 1 s C I: C- H - 9 C:, V×t j i T:' TF P K, M,

CO' CMO4 N'WTDCC INTE"'4AL SVITH--SC M= F : 'G, w= I ;)R tiT

C Mo=t FOF 333 - T-_± ), I FC" OOSE(R)C N IS THE NU13ER OF CJNTOJU - T) 3F CO'1PUT:DC

PRiNTf"T/E R P(;. OI I) MD( CI& 1) ,AN) N( 9 CDNTOJ7k13READ ' 9I",1,)

C READ 4 VILIJ.L' F C kTf1s 'I3 ,UESTED IN R/HR 0 .

PRIN1 , '..: CNTrO11. VALUES=

C 1-EAD YIEL (rN T)FR ,TION OF YIFLO AS fISSION,

C WIN) (IN H' 4R)q ,D WT'Jr SHEA-' (C!, H--)PRIN1 -74E- YT cL R A CTICN 't Wl.' 7 L7 Li AND .;N? -i? "

PPINT' AEE # CF Jrs "

RE AD t,P T NT' , TE? N-S wIDTH OF F:ELF=R; 01, ,W=W/ 2.IF(M ..E1.) r'1T'"E1 - TIlE OF OUiATION=IF( ?A .C, .c r 9 ft T-)

C SC (SJUIC:'. A ,L _ ISTANT) YIELDS R OXR /H,I F( . , M E SS 2, + F F I Y 4

CC YI L D .E-'A. , = CU L !C H3 i." iL <'t -:-C SIGH ,-1 f, ; A ' ] ., "t 3T rj : 'Z

C TC I: i , 4C 'j' .-3I+,HC= I,.+I,,._-t L ' ( ') , y " ;;L ( f,-(yl' , 2 -,q:( _ SS +2,-2

SIGH! =j . H'4fr ,sIsr. y'(,* - rv', /3° - L .,+c:jL?' Y") -t Y")

C TC = 1. 7T(1?. C/ .- ' ,."Li. I .,)-(1.-. 'X-'

C SET -PFA P.'43 9:TA FQ 0Cr, C-LCU1. tTIONSAL=BT =

C IF THIS IS * ,SEG 1A02L-IC,,,SK 1 0 T .IF (ME-) re

PF 1T""F ,TE- ALP P AND 2ETAPEA3 ,9A.3

66

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C 2O?'VcrT <I- OF: 'T 'LC ET":

C D E IVE "DNS T 7S rO C (T)00 ?5 J=2, ~

25 c c r rNU E

C (J- ?) = C C F(<,J26 rc ,4 r iN i

55 F0--4T ( FT :, LCULAT7GN-C V: THIS IS A JSFC- -L'IL'A1L77t T, PFIINT THAT

E.c IF ( 4En..) :1T 365 FORMAT 0 4ES- CtL LC'ILTT CN

P, NT .Ul T H - tuI:PRI' T 7., Y% P=

75 F (,-. 114 ~ 1- 1 N3~ *~r *~

P-, 4 2, L L, T82 FO 07 (1Y,, Y w % ~ 1': 4 AN; 'T~

$: NI D T VA I T I' D ~T Ai"~ C,(T) AN' CLL 17 **T?"8C6 CfLL GmtY

C FIN~D UC3L~t'tE I.T?2T' FY C-ILLIW; "UPHILL"CALL JPHILL

C RETURt' 4Ir-i V' UZ FPj T"!IF (E1O- .) 1070 12,

C FIND n04NSLCPF ITEFF-rTION BY VALLING ODWHILL"CALL OV-iILL

C RETUM4 AITH V LUZ F' TF*C DIVIT F 43T L1'4 1'4J) 2r-' IINURVALS

OT =(TF-TE)-,*+cC PRINT )%DLZ TITL'- F-) AFpPCf-;IT C, iL0JLATIOC4

IF I'M4 .)~'IJT?

I F ( 11~ .) , 7. TN 14- , - (K)F OF M IT( C: ;-i1 N ' F C ,7 . 1 , 13S9R L I''

C 1,OLPUT K &NI P;T P1<,y 'JAL IJ-, THI.S r.C X IS f!)WNW11.) OTTAIr Fitl-P 9(STSC Y IS OSW\C SYEF ,CM wJTLI':E

T FL Clr(1-11)"OT + T3Y(I) =v"

C =I ND r~3;7 T HE Hor L It. 1-U E AC14 STE:3 X(I)Y ( I) =7=A8S( ('(T)-W) /SlGY (XCI)))

67

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c C U Me t2'RA4 L FJ NZ'rT 11V S 1 VE N ry.c Anx~r !F-, trEKJ.,1;. 2

F~i .1/( 24- (1*+ o' 9 5. 11 'Z I S~1jE- 7 - 7

FY= NfI/ (2 4)D=PC (T) /VX^ FY

IF( Mr's h E. I) T = >E )o F 90F7 3 N T H F 7 L 1 W I S G,'F TE T HA1 --- )FS D JC SCGO OC-J3WIt .n UNTIL ' "Zj-IU £jCSE-' TS IIT ERS:O T='.,

IF (r, C-T.9M< ) GO31, 1,Y(I)= .SOTO I1'5

C )ETE-t4lf01I Ct COF 3 -'W ' D I C ~E N EED EDC TO IftTRSECT 1)=-S I~ R ,CSE

41A)W=( W 43t9((T 3 ~

7=4 FE. ( (4-14) ZS% XI)

0=SCs G MT /P<' cy

y ( I) =

GO TIO il-

WRITA F(VIt?) y )Y()

C ORINT T47 FItL POTNT

12U c cNql 4u ESTOP

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SUFC',JT~ s c I TTX

C 4XIt'UM G(T) 13 FOUND '1 T P.CIr.G GU)C TO ITS PEP< IN *I WO'J ECY O

DO 4 J=~~ IT = F - AT (J-i1 1Om (i) =5 (HIF (J.FC.1 ) r,)T3 4~I F ( D 1.J) LT ,l (J -1) ) GOCTO5

4 ecC"I INU E5 T",T-. I

RE T U F N

SUVRCJTI' JE JOHILL

CO-.MON Tr, S IS CE-ZI G;, Sq-SC VXtTTT,'ITFK, M, MrCO' CN NWW,TO

C TAIS iurROumrE FI'!E7S TH7 rOltT CN THF HOTLINEC CLOS--ST TC THE 9U: TS WETH-- O5SIDED CONTOURC DOSE' INTERPSECTS.CC TS= -1-9. IS~ &a LG TO IN3TCAT:: iHAT J=ii), IS LES3 TH~q ri

T8 = -SC TO=INITIAL TEMEE

TO = -3tT0)VIF (M.NE..) TO =3.

C SET DT FOR *4SEG (F,'4I T < '?SIGMJA)DT 1 1 133 (T C)Oh (i) = ,

DO 2 J=4,I.C SET OIT ZjR AFI- 09 RESET IT FOR WSEG

T r + DT

x =r~vx

FA=-Zo -F

I F ( ) ( J)..() .T

2 CONTIN4JER--TURN

C IVflEiPOLATE3 OLT =TC9J.V)/>()C(~)

TB=- -LTRET URNEND

69

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CC -M.C~ V , T( f )f -1 r

C04 CN f. ,,W 1TC THIS --Ue: t~ 'M4- FL S 7H~ CIT 1, T(N 'T H ; H -oT LI4c FARTIEST Fk-)'A T HF rIJ ZT S WH E:. 7H-- DHS1- E[ 00- INTERS-,TS.C

JL =T4/.5 + 2,DO 4 J =J L '

T = -LOtl ( J -1 5

7 =,fSIGYK

FA=1 -F

FY=i q/ (2. W)W " 7DM (J) =SC C, GCT) / VX FY

IF ((K)*C-T.oo,( J) ) GOTO 0

C INTE -- OL -7 E

TF T -)LTRETURNEND

FWMCIUN ;(5)

C0O414ON TZp E~, sc, vXT~,Tl-1,Fj,KHM4

C THIS SUnFROUTIE"E CC,-PtJT:* G (T) FOF rIT OR WSE:G,

IF (SeLT..i) GCTC 3

C VFIT 'OMPUT'JIGNS

C P IS PAit1CLE R A j S T('N A ES)

* R=3if(~ +C( 2) fCzz* WL +(7M)&'~ 3)

C 0 CN V FRT H.57T E S T 0 '1 f,) 4S

C A IS ACTIVITf-5'i7E FJfTIDS

P ( A L C( ALOZ..A E xP(-5 spvrF /($: Rr 17,2 3) ~T R

70

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CC OW/OT IS 0-t~VATI/- Or7

DFJ'DT 4 2 C 3F+'

RE T U NC

3 G='RET URN

cC WSEG ^:OhPUT-,rro,?,s

PHt=1, -1/(2 H"IF (X oLT2. FPR i .-0HT

RET URN

END

FUNI C TI1ON 3 1 3)

COwMOCN N, W -, 7 TQt

C THIS FUM,CTIAjs )t-WEFTS 91S7 R4-T TO 003EC USINS THE WY-WIGNLP AD-'XMATOIiC

TA=SIF(TA9LT. * ) 14=. iTE=TA+T[O

RET U'RN

FU CTION 31GYMXCOMMON V(.),9L ), 7 ),"f,,'?T

C THIS rUNCTI> 1 zJ 0tPJ~t-- SI , Yt tS p .c 3E,

TS= X/VXIF ( 7S.o5T . 3. ) T S=3 aTP=i,*+8.'r S/I CSIGY = SrRT(SIG) 2$1TR 4 (SIGSPRHY/'HP)

71

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DIHE SICN, (2. A()C T-4IS --UNCTI J 'J S- T-' D 7 TA PF AND I NTERPOLATESC FO!, THE CC--'Fl"!E TS NI*--DED FO;. THE GIV:-N ALTITUDE 7<G

REWIrID N .O If TrI,251

nE ( ., 91. L) (A (I, J) J='Sj 0)

i F 'M T (F" 1i '. E 11 .')

IF(7K.LE. (Iti))GO TJ 1i10 CCTINUELi X?:A(I i)

X=A (-i ,L)YZ:A (I-, ?

COE F F (Y 'Y I X2^-Y )) 47K+((X 20Y i - :Y 2) (X2 -Xi))

RET URNEND

72

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TABLE A. l

Glos;,irv of "'1Crm:s V;it!.V >111"I

INPUT PARAXIITERS

D (I) Contour value in close or dose rate

YM Yield of the weapons (in megatons)

FF Fraction of yield due to fission

VX Velocity of the wind (in miles per hour)

SHR Crosswind shear (in hours - 1 )

NN Number of bursts

W Width of the field (in miles)

TD Time of duration for dose computations

(in hours)

AL Alpha parameter from activity-size

distribution curve

BT Beta parameter from activity-size

distribution curve

WSEG-10 PARAMETERS

HtC Nuclear cloud height (in kilofeet]

SIGH Cloud thickness parameter

SIGO Initial cloud radius parameter

TC Time constant

SC Source normalization constant

73

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_o i

T.\DLU_: .\ - I ((ott 0.)

CO 'U TAT I ON l'.," ',T

ZK Nuclear cloud height (in hilwiieters)

C(J) Coefficients for AFIT &t) conputation

DT Interval along hot line

TM Time of maximum g(t)

TB First time of occurrence of desired

dose on hot line

TF Final time of occurrence of desired

dose on hot line

T Time (in hours)

X Downwind distance (in miles)

Y Crosswind distance (in miles)

F Cumulative normal function

FY Crosswind distribution of activity

Q Dose or dose rate

A Crosswind mileage counter

MAXW Crosswind limit of computation

FUNCTION G(S) PAI',.T'T'RS

R Particle radius (in meters)

A Activity-size function

DRDT Change in particle radius with rcs,,-:'ct

to time

Pill Cumulative normal function

74

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TABLtE A-2

Interactive InpIts

ENTER M (0 or 1), MD (0 or 1), AND N ( i CONTOURS) 1,1

ENTER CONTOUR VALUES = 1500

ENTER YIELD, FRACTION, WN'IN) LIVEL, AN) ,,IND S1 = 1 ,.5,35.1

ENTER # OF BURSTS = 4600

ENTLR N-S WIDTH OF FIELD = 190

ENTER TIME OF DURATION = 0

ENTER ALPHA AND BET.A 7,1.928

75

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TALI 1: A 3

SapeOutput

Ii76

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Vit a

John 1. Crand~c'v, Jr. was born on 25 Novcmlber 1951 in

Pitt sbuorigh , Pennsylvonia. fie g raduJat ed from M ilford Hi ;h

School in M',ilford, Connecticut in 1969, and attended the

U. S. Air Foxce Academy where he received the degrce of

Bachelor of Science (Chemistry) in June 1973. After grad-

uation, he attended Undergraduate Navigaitor Training at

Mather Ai~r Force Base, California, which no completed in

.May 197-1. lie then attended B-52 Bombing/Navigation School.

Ile was assignedl as a B-52G Nav-igator and Radar Navigator

between January 1975 and August 1979 at Gri-Ffiss Air Force

Base, New York. lie entered the Strategic arO Tactical

Sc iences pro~gram, School of Engineering, Ai-r Forc e Institlute

of Technolovgy, in August 1978.

Permanent Address: 350 Wolf 1Iarb'~r Road1

M~ilford CT 06460

77

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UNCLASSIFIEDSECURITY CLASSIFICATICN OF THIS PAE 'I$her, t tm I. r..p

REPORT DOCUMENTATION PAGE BRE CIL'TINCF

I. REPORT NUMBER .1 2. GOVT ACCESSION No. 3. RECIPIENT'S CATAL©G NUMtER

AFIT/GST/PH!81NI-1 IA

4. TITLE (and Subtitle) 5. TYPE OF REPORT & PERIOD COvERED

A M4ultiburst Fallout ModelMSTeiMS Thesis

For Operational Type Studies 6. PERFORMING ORG, REPORT NUMBER

7. AUTHOR(s) 8. CONTRACT OR GRANT NUMBER(s)

John F. Crandley, Jr.

Capt USAF9. PERFORMING ORGANIZATION NAME AND ADRESS ID. PROGRAM ELEMENT. PROJECT, TASK

AF Institute of Technology (AFIT-EN) AREA & WORK UNIT NJMBERS

Wright-Patterson AFB OH 45433

II. CONTROLLING OFFICE NAME: AND ADDRESS 12. REPORT DATE

I March 198113. NUMBER OF PAGES

8314. MONITORING AGENCY NAME & ADDRESS(if different from Controlling Olffce) IS. SECURITY CLASS. (of this report.

UNCLASSIFIED

1S. DECLASSIFICATION DOWNGRADINGSCHEDULE

16. DISTRIBUTION STATEMENT (of this Report)

Approved for Public Release; Distribution Unlimited

17. DISTRIBUTION STATEMENT (of the abstract entered In Block 20, if different from Report)

18. SUPPLEMENTARY NOTES Approved for Public Release; IAW AFR 190-17

21MAY 1981FREDERICK C. LYNC, Major, USAFTirertnr of PklIc Affairs

19. KEY WORDS (Continue on reverse side if necessary ,d identifv by block nlumber)

Fallout MX

Multiple Bursts

20. ABS)IRACT (Continue on reverse ,tde :: nt-vce ,erv arid identify by olock number)

A method is devcloped for calculating fallout deposition down-

wind from a massive nuclear attack on a small target area over a

short time span. This is accomplished using existing smear codes

and replacing their exist.ng horizontal activity distribution with

an approximating function. This function is the difference between

two cumulative normal functions which arc shown to result from

superposition of individual bursts. A comrarison is made between(Continued on Reverse)

DD I JAN 7 1473 ED1ON OF I NOV 6S IS OBSOLETc UNCLASSIFIEDSECURITY CLASSIFICATION OF '.'IS PAGE Ihe,. Dlat f.,,te.ef

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UNCLASSIFIEDER I-Y Cu ASSiFrCATION OF THIS PAGE(47,n Data Entered)

BLOCK 20: ABSTRACT (Cont'd)

the contours predicted by this new code and contours predicted bythe old, time-consuming, iterative procedures. The new code hasbeen emnloyed in several different scenarios involving theproposed MX field to determine the resulting dose contours from amassive attack against that field.

UNCLASSIFIEDSECURIT'Y CLASSIFICATION OF THIS PAGFI?,n Dar Fnfeed)

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-.

. I

DATE

ILMED


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