1 ) (

) (

1 11111111 : : ) ESH( : ) ESH ( : : - -: 01311595011 :

1 ( ) : :

03991111111 : , , , :

: 0 03111621111: : :

3 : seirtsudni sag dna lio ni noitacifissalc aera suodrazah desab ksir dna stcapmi ecuder ot gniledom sdrazah ssecorp:

5 : seirtsudni sag dna lio ni noitacifissalc aera suodrazah desab ksir dna stcapmi ecuder ot gniledom sdrazah ssecorp : :

:( ) 6

.

. .

. ( ( ) ( )

- ) 25 ( - 330) ) 30 ( ) 2 (

.

:2

ksir ;noisrepsid ;drazah ;gniledom :

: 11 : -9

1 3 6 9 11 11 1

: 11 .

51PI

.

TSAHP s'VND

:11

-

3300

TSAHP . .

.

0300

. VLT 71 031 619 . 104

)9002( 01-97006 NE .

.dtL noitaroproC liO naidnI eht morf snosseL :noisolpxe duolc ruopav latnedicca na fo tnemssessA

() : 11 NGL 3350

0300

KSIR TSAHP 0021/LGN tnenopmoc-oduesP tnenopmoc-itlum .

. GPL

cirehpsomta dna egrahcsid fo gnilledoM ,bnesliN einneH .S ,arepraH .M ,aenetS .J ,axoltiW .M .W.H

.J ,soiranecs fo egnar ediw rof sisylana ytivitisnes gnidulcni sesaeler edixoid nobrac rof noisrepsid

.1102 ,06223522 :P ,4 aidecorP ygrenE

. TSAHP . 30

. .

noitneverP ssoL fo lanruoJ ,noitacifissalc aera suodrazah rof gniledom tej ranimaL ,idnetnineB otaneR

.031321 segaP ,1102 hcraM ,2 eussI ,42 emuloV,seirtsudnI ssecorP eht ni

)9002( 01-97006 NE .

liO naidnI eht morf snosseL :noisolpxe duolc ruopav latnedicca na fo tnemssessA,amrahS .K.R

ssecorP eht ni noitneverP ssoL fo lanruoJ ,aidnI ,rupiaJ ta tnedicca .dtL noitaroproC

.0928 segaP ,3102 yraunaJ ,1 eussI ,62 emuloV,seirtsudnI

. TSAHP

.

eht fo noitacilppA ,azodneM .A ,zemoG-zurC .J .M ,siocnarF .L .J ,nosleN .F .P ,zehcnaS-ziuR .T

noitcudorp negordyh elcyc IS na fo ngised metsys ycnegreme eht ni sisylana ecneuqesnoc tnedicca

.2102 ,5796-5696 :P ,73 ygrene negordyh .J ,tnalp

. TSAHP .

. .

. .

11 : )( Sensitivity analysis of Phast's atmospheric dispersion model for three toxic materials (nitric

oxide, ammonia, chlorine), Nishant Pandya, Journal of Loss Prevention in the Process

Industries, Volume 25, Issue 1, January 2012, Pages 2032

Area classification code for installations handling flammable fluids, part 15, 3rd edition.

Risk analysis and assessment methodologies in the work sites: On a review, classification

and comparative study of the scientific literature of the period 20002009, P.K. Marhavilas,

Journal of Loss Prevention in the Process Industries, Volume 24, Issue 5, September 2011,

Pages 477523.

Risk-based process safety assessment and control measures design for offshore process

facilities, Faisal, Journal of Hazardous Materials, Volume 94, Issue 1, 2 September 2002,

Pages 136

Modeling the vapor source term associated with the spill of LNG into a sump or

impoundment area, Nicolas F. Ponchaut, Journal of Loss Prevention in the Process

Industries, Volume 24, Issue 6, November 2011, Pages 870878

Classification procedure of the explosion risk areas in presence of hydrogen-rich syngas:

Biomass gasifier and molten carbonate fuel cell integrated plant, A. Molino, Fuel, Volume

99, September 2012, Pages 245253

Recent developments in modelling mitigation of accidental releases of hazardous gases,

V.M. Fthenakis, , Journal of Loss Prevention in the Process Industries, Volume 8, Issue 2,

1995, Pages 7177

N. Pandya, N. Gabas, E. Marsden, Sensitivity analysis of Phasts atmospheric dispersion

model for three toxic materials (nitric oxide, ammonia, chlorine), J. Loss Prevention in the

Process Industries 25, P: 20-32, 2012.

:11 DFP ,DI &P ,nalp tolP ,erawtfos tsahP s'VND

( ) 01

( )

111.111.0

111.111.5

111.111.9

111.111.1

-

-

-

-

111.119.1 ) 1/111/111 (

31

51

61

21

91

.

11