An empirical model for fatality estimation of earthquakes in Iran

Forecasting the Number of the Wounded after an Earthquake Disaster Based on the Continuous Interval Grey Discrete Verhulst Model

“…Furthermore, Huang et al proposed an adaptive chaotic particle swarm optimization (ACPSO) to optimize network parameters of traditional ELM to improve the stability and prediction accuracy of the network and apply the improved elm model to the prediction of casualties in earthquake disasters [8]. Firuzi et al proposed an empirical model for mortality estimation in Iran based on vibration related parameters (PGA) [9].…”

Rapid Estimation of Earthquake Fatalities in Mainland China Based on Physical Simulation and Empirical Statistics—A Case Study of the 2021 Yangbi Earthquake

“…After the earthquake, based on the seismic intensity distribution and the detailed list of the buildings on it, and further combining the damage vulnerability and human loss ratio of different structural types of buildings under different intensities to calculate the number of fatalities in all buildings [ 3 , 4 , 5 ]. In contrast, empirical methods use seismic parameters (e.g., seismic intensity, magnitude, or ground motion parameters) and demographic data (e.g., population density and number of destroyed buildings) to estimate the number of fatalities from previous earthquakes via statistical regression [ 2 , 6 , 7 , 8 , 9 , 10 ]. Generally, analytical methods are more accurate than empirical methods.…”

پیامدهای اجتماعی شکست زیرساخت‌ها: محاسبه‌ی ارزش زندگی آماری برای تحلیل تاب‌آوری جامعه در ایران

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“…"CU= xOW x@U=Lt OQi Qy |= Q@ xRQru}tR R= |W=v Q}twnQt [27] '2020u= Q=mtyw|v}UL|v}t=VywSBR=xDiQoQ@xm'1|x]@= QR=xO=iDU==@ w l}v=Oy `@=wD |xO=iDU= Qw_vtx@ OQi Qy |= Q@ xrRrR QF= QO Q}twnQt lU} Q 'CU= %CU= xOt; CUOx@ |Q=t; |oOvR VRQ= |x@U=Lt log (F R) = a + b P GA; P GA 100cm=s 2 a = 4 5210 ( 5 0520; 3 9900) b = 0 0038 (0 0028; 0 0047) "Ov=xDW=O R}v |QDW}@ Ot;QO , =twta 'QDq=@ Cq}YLD =@ xOW h} QaD |}=DwO |Q}eDt CQwYx@ R}v O= Qi= py -=D C}a[w 'Q[=L VywSB QO X=YDN= 0 OOa 'py -=DtQ}e O= Qi= x@ w 1 OOa py -=Dt O= Qi= x@ '? }DQDu}= x@ "CU= , =twta R}v py -=Dt O= Qi= 'CU= XNWt G 2 pmW QO xm Qw]u=ty "CU= xOW xO=O Ot;QO w O= Qi= uU \=@DQ= u}vJty "Ov=xDW=O py -=DtQ}e O= Qi= x@ C@Uv |QDW}@ Ot;QO u= Q}= p=}Q OL=w x@ w |Da=U CQwYx@ xm 'OwW|t xOy=Wt O 2 pmW QO =yu;…”

“…Q[ |oQR@ "Ci=} CUO xat=H |Q=t; |oOvR w u; R= xO=iDU= =@ xm 'CU= xOW xOR u}tND 0 018 wUq VwQ x@ |R=UpOt R= |x@U=Lt |= Q@ Qiv 10000 [52] 'p=U QO |Q=m Ca=U 2000 ZQi =@ u}vJty QO O= Qi= |Da=U jwkL u}ov=}t u=wvax@ p=}Q 200000 u}vJty w lU} Q u= R}t wO w O=Diy u=twD 7 200 000 000 =@ Q@=Q@ |OOa |Q=t; |oOvR VRQ= 'QwWm "CU= xOt; CUO x@ p=}Q OQ=}r}t u=twD OQ=}r}t 7 R= V}@ 'xRQru}tR QF= Q@ Qiv l} Cwi CQwY QO '? }DQD u}= x@ xrRrR |=yCQ=UN R= |WN@ Q}N= dr@t xD@r= "OwW|t OQ=w xat=H x@ |O=YDk= CQ=UN 40 [31] '2009 u}y=W w QB=Qm \UwD xm '3 |x]@= Q T=U= Q@ |QwWm |Q=t; |oOvR VRQ= R= = Q QwWm l} |@} QkD |Q=t; |oOvR VRQ= u=wD|t G}=Dv uOw@ l}ORv |xOvyOu=Wv '3 |x]@= Q |wQ Q@ =y|UQQ@ "OQw; CUOx@ Qo}O QO u= R}t u}= ' , =YNWt "OQ=O Q}N= |x]@= Q R= xOt; CUO x@ O=Oa= w Q[=L VywSB "Ot; QO w lU} Q \=@DQ= Q=Owtv "3 pmW |R=UpOt ltm =@ [27] '2020 u= Q=mty w |v}UL |v}t= VywSB QO xm 'OvDUy "Ov=xOt; CUO x@ u= Q}= QO u}W}B |=yxrRrR |=yxO=O |wQ Q@ uw}UQoQ xOy=Wt xrRrR QF= QO O= Qi= Q}twnQt lU} Q |=v@t Q@ Ot;QO |oOvm = QB '3 pmW QO pLt =@ ?U=vDt w 1 |x]@= Q ltm =@ xrRrR QF= QO O= "CU= uw}UQoQ pOt p}mWD =@ w 36 u}W=t|Q}oO=} Q= R@= ltm =@ l}v=Oy `@=D ? }=Q[ pkDUt Q}eDt '=yQ}eDt Qo}O w xDU@=w Q}eDt Ot;QO |a}@] sD} Q=or xm |wLv x@ 37 '|]N 'xO=O |R=UxO=t; hrDNt |=yVwQ ltm =@ 'Q[=L VywSB QO "OwW|t u}}aD 'OvW=@ |=ysD}Qwor= R= xO=iDU= u}vJty w =yu; R= |Q}osD}Q=or w =yxO=O |R=Up=tQv Q}_v w w=S Q=DWwv QO 38 wUq |@=NDv= pOt Ovv=t 'u}W=t |Q}oO=} |xv}tR QO |OOaDt xOW K} QWD Oa@ VN@ QO u; G}=Dv w xDN=U `wvDt pOt xOR=wO [64] '2006 39 [65] u=}DtLQ w Q}=Q@ =wy |oOwr;…”