MONITORING OF URBAN RECONSTRUCTION: A STUDY OF RECOVERY PROCESS IN BAM AFTER THE 2003 EARTHQUAKE

Similar documents
RECONSTRUCTION MONITORING OF BAM CITY AFTER THE 2003 EARTHQUAKE BASED ON SATELLITE IMAGES, STATISTICAL DATA AND FIELD OBSERVATIONS

DAMAGE DETECTION OF THE 2008 SICHUAN, CHINA EARTHQUAKE FROM ALOS OPTICAL IMAGES

VULNERABILITY FUNCTIONS FOR BUILDINGS BASED ON DAMAGE SURVEY DATA IN SRI LANKA AFTER THE 2004 INDIAN OCEAN TSUNAMI. Murao, O. 1, Nakazato, H.

Developing fragility functions for tsunami damage estimation using the numerical model and satellite imagery

(First Edition: prepared on 29/12/2003)

Development of Spatial Information Database of Building Damage and Tsunami Inundation Areas following the 2010 Chile Earthquake

Estimation of Seismic Shutoff of Intelligent Gas Meters in the Tokyo Metropolitan Area

CHANGES IN ETHNIC GEOGRAPHY IN WATERBURY AS A RESULT OF NATURAL DISASTERS AND URBAN RENEWAL

Individual Self-help Housing Reconstruction with Relocation: Transformation of Built Environment after the Great East Japan Earthquake

Geographic Information Systems

Pacific Catastrophe Risk Assessment And Financing Initiative

COMPREHENSIVE GIS-BASED SOLUTION FOR ROAD BLOCKAGE DUE TO SEISMIC BUILDING COLLAPSE IN TEHRAN

Modeling Susceptible Districts in GIS for Managing the Repair and Maintenance of Ancient Monuments

Revival from Earthquake Disaster and Asbestos Problems

DAMAGE REDUCTION BY CULTURE BASED METHOD SUPPORTED BY SPATIAL TEMPORAL GIS - COLLABORATIVE RESEARCH WITH DUZCE MUNICIPALITY TURKEY -

Pacific Catastrophe Risk Assessment And Financing Initiative

Discerning sprawl factors of Shiraz city and how to make it livable

Urban Recovery Process in Pisco After the 2007 Peru Earthquake

Post-earthquake Urban Damage Detection

The World Bank BiH Floods Emergency Recovery Project (P151157)

Estimation of Damage Ratios of Wooden Houses and Water Distribution Pipelines in an Earthquake Scenario for the Tokyo Metropolitan Region

SEISMIC RISK ASSESSMENT IN ARMENIA

Mapping the Urban Farming in Chinese Cities:

Training System and Information Network for Earthquake Disaster Mitigation. Taiki SAITO. Building Research Institute (BRI)

AUTOMATED BUILDING DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGE FOR UPDATING GIS BUILDING INVENTORY DATA

EXECUTIVE SUMMARY. The title of this dissertation is Quantitative Study on Natural Disasters Risk

BEHAVIOR OF STEEL OIL TANKS DUE TO NEAR-FAULT GROUND MOTION

Geographic Boundaries of Population Census of Japan 1

RECENT ACTIVITIES OF JST-JICA PROJECT ON EARTHQUAKE AND TSUNAMI DISASTER MITIGATION IN PERU

REAL-TIME ASSESSMENT OF EARTHQUAKE DISASTER IN YOKOHAMA BASED ON DENSE STRONG-MOTION NETWORK

Seismic Activity and Crustal Deformation after the 2011 Off the Pacific Coast of Tohoku Earthquake

Trends of Natural Disasters in the Asia- Pacific Region and the Direction of Disaster Management

Evaluating the effects of near-field earthquakes on the behavior of moment resisting frames

A RECONNAISANCE REPORT THE PISCO, PERU EARTHQUAKE OF AUGUST 15, 2007

APPLICATON OF SEAMLESS SIMULATION OF SEISMIC RESPONSE ANALYSIS AND HIGH RESOLUTION TSUNAMI SIMULATION TO COASTAL AREA OF SENDAI

The Restoration Process from the Great East Japan Earthquake, and Perspectives for the Sustainable Society by Creating Cultural Landscapes

HURRICANE MARIA PUERTO RICO ASSESSMENT FOUR & SIX MONTHS POST LANDFALL. January & March 2018

Initiative. Country Risk Profile: papua new guinea. Better Risk Information for Smarter Investments PAPUA NEW GUINEA.

Quantitative landslide hazard assessment in an urban area

M-6.2 EARTHQUAKE NORCIA, ITALY AUGUST 24, 01:36:33 UTC

A Feasibility Study about Extraction Method of Densely Crowded Areaswith Wooden Buildings in the KOBE Government. Part II 1)

Risk-based land use and spatial planning

Application of high-resolution (10 m) DEM on Flood Disaster in 3D-GIS

Module 3 Educator s Guide Overview

Post-Disaster Urban Recovery Monitoring in Pisco After the 2007 Peru Earthquake Using Satellite Image

DATA UPDATING METHODS FOR SPATIAL DATA INFRASTRUCTURE THAT MAINTAIN INFRASTRUCTURE QUALITY AND ENABLE ITS SUSTAINABLE OPERATION

Predicting Tsunami Inundated Area and Evacuation Road Based On Local Condition Using GIS

ESTIMATION OF LANDFORM CLASSIFICATION BASED ON LAND USE AND ITS CHANGE - Use of Object-based Classification and Altitude Data -

Seismicity. Chapter 2 : Geographic Database Development 29

ANALYSIS OF EVACUATION BEHAVIORS IN DIFFERENT AREAS BEFORE AND AFTER THE GREAT EAST JAPAN EARTHQUAKE

Jason Bentley Ashe Prelim_Research_Notebook_Data MDS_I Fall_2007

To estimate damage ratios of water and gas distribution pipes, fragility curves were empirically obtained based on damage datasets after the 1995 Kobe

UNIVERSITY GADJAH MADA EUBIOS YOUTH LOOKING BEYOND DISASTER (LBD5) FORUM 4-8 SEPTEMBER, Hosted by: Universitas Gadjah Mada

The Magnitude 7.2 Earthquake from the West Valley Fault: Implications for Metro Manila and Nearby Provinces

EVALUATION OF SITE AMPLIFICATIONS IN JAPAN USING SEISMIC MOTION RECORDS AND A GEOMORPHOLOGIC MAP

Perception of Earthquake Risk and Postdisaster

Social Studies Grade 2 - Building a Society

Remote Sensing the Urban Landscape

Changes in Land Use, Socioeconomic Indices, and the Transportation System in Gifu City and their Relevance during the Late 20th Century

Civil Unrest & Arson. Damage Analysis Based on QuickBird02 Satellite Imagery Recorded on 18 June :35 UTC - Version 1.0 CE KGZ

Study of the liquefaction phenomenon due to an earthquake: case study of Urayasu city

Sentinel Asia Tsunami Working Group

1. Origins of Geography

EARTHQUAKE PROFILE. Figure 1-Seismic hazard map, I.R.Iran

Pacific Catastrophe Risk Assessment And Financing Initiative

Progress and Land-Use Characteristics of Urban Sprawl in Busan Metropolitan City using Remote sensing and GIS

3D Seismic Hazard and Risk Maps for Earthquake Awareness of Citizens with Aids of GIS and Remote Sensing Technologies

Ground motion intensity map of the Tainan earthquake (Central Weather Bureau).

2.3 Notes: Earthquake Damage Can Be Reduced

EXTRACTION OF FLOODED AREAS DUE THE 2015 KANTO-TOHOKU HEAVY RAINFALL IN JAPAN USING PALSAR-2 IMAGES

GEOSPATIAL INFORMATION UTILIZATION PROMOTION BILL

TREASURE COAST REGIONAL PLANNING COUNCIL M E M O R A N D U M. To: Council Members AGENDA ITEM 4B10

Changes in the Level of Convenience of the Iwate Prefecture Temporary Housing Complexes Constructed after the 2011 Tohoku Earthquake

Experiments of Earthquake Early Warning to Expressway Drivers using Plural Driving Simulators

Spatiotemporal Analysis of Urban Traffic Accidents: A Case Study of Tehran City, Iran

KNOWLEDGE NOTE 5-1. Risk Assessment and Hazard Mapping. CLUSTER 5: Hazard and Risk Information and Decision Making. Public Disclosure Authorized

ACTIVITIES OF THE HEADQUARTERS FOR EARTHQUAKE RESEARCH PROMOTION

CHAPTER 2 REMOTE SENSING IN URBAN SPRAWL ANALYSIS

USE OF INTERFEROMETRIC SATELLITE SAR FOR EARTHQUAKE DAMAGE DETECTION ABSTRACT

M-8.1 EARTHQUAKE 87KM SW OF PIJIJIAPAN, MEXICO EXACT LOCATION: N W DEPTH: 69.7KM SEPTEMBER 7, 11:49 PST

Vulnerability assessment using remote sensing. Achim Roth, Hannes Taubenböck German Aerospace Center, German Remote Sensing Data Center

ANALYSIS OF DIVERSION OF SURROUNDING SITES ALONG AN URBAN LINEAR ELEMENT ACCOMPANIED BY ITS USE CONVERSION - FOCUS ON SAGA LINE OF JAPAN RAILWAY -

4-3-1 Earthquake and Tsunami Countermeasures of Tokyo s

STUDY ON URGENT ESTABLISHMENT OF TOPOGRAPHIC MAPPING IN EAST TIMOR CREATION OF TOPOGRAPHIC INFORMATION FOR ESTABLISHMENT OF CADASTRE IN EAST TIMOR

Report on the Damage Survey Caused by Hurricane Katrina (Tentative Report)

THE STUDY ON 4S TECHNOLOGY IN THE COMMAND OF EARTHQUAKE DISASTER EMERGENCY 1

Earthquake early warning: Adding societal value to regional networks and station clusters

Residual Deformation Analyses to Demonstrate the Effect of Thin Steel Sheet Piles on Liquefaction-Induced Penetration Settlement of Wooden Houses

GIS AND THE ARCHITECTURAL HERITAGE OF DUBROVNIK A BASIS FOR THE CONTINUOUS EXPANSION OF OTHER DATABASE SYSTEMS

Wainui Beach Management Strategy (WBMS) Summary of Existing Documents. GNS Tsunami Reports

EARTH OBSERVATION SERVICES IN REPUBLIC OF MOLDOVA

A Short Story About Earthquakes Ein kurzer Vortrag über Erdbeben

Pacific Catastrophe Risk Assessment And Financing Initiative

Experimental Study on Effect of Houses on Debris-Flow Flooding and Deposition in Debris Flow Fan Areas

Monitoring Coastal Change after the Tsunami in Thailand

NGIAs' roles in successful disaster response

History of International Training in Seismology and Earthquake Engineering at IISEE

Changes in Land Use, Transportation System and the Mobility in Gifu by using Historical Map, Statistics and Personal Trip Survey Data

RELATIONSHIP BETWEEN AGE OF GROUND AND LIQUEFACTION OCCURRENCE IN THE 2011 GREAT EAST JAPAN EARTHQUAKE

STUDY ON RELATION BETWEEN URBAN STRUCTURE AND LAND VALUE FACTORS IN THE TOKYO METROPOLIS USING GEOGRAPHIC INFORMATION SYSTEM (GIS)

Transcription:

OS13-Fri-AM-6 The 14th Japan Earthquake Engineering Symposium (2014) MONITORING OF URBAN RECONSTRUCTION: A STUDY OF RECOVERY PROCESS IN BAM AFTER THE 2003 EARTHQUAKE Seyed Omid HASHEMI PARAST 1, Fumio YAMAZAKI 2 1 Graduate Student, Graduate School of Engineering, Chiba University, Chiba, Japan, hashemiparast@chiba-u.jp 2 Professor, Graduate School of Engineering, Chiba University, Chiba, Japan, yamazaki@tu.chiba-u.ac.jp ABSTRACT: The Bam earthquake in 2003 was one the most devastating disasters occurred in Iran in the recent years that left massive damages to both the population and properties. Today, a decade past from that event, it is important to investigate the city recovery process to evaluate the government's performance in terms of postearthquake management. This study aims at monitoring the post-earthquake reconstruction and renewals in Bam and discusses the progress and sustainability of disaster management projects. Two sets of satellite images taken immediately after the earthquake in 2004 and eight years later in 2012 from two selected stations were analyzed to make comparison in urban land uses such as vegetation, buildings, openspace etc. We also collected field photos taken in 2004, 2007 and 2014 to observe the performed modifications in the physical environment of the city. In addition, we obtained official statistics and reports regarding the extent of damage to buildings and individuals from the authorities, in order to assess damages and estimate the construction of new buildings. Our results showed that in the partially damaged station, reconstruction process was accomplished however in the severely destructed station, the recovery progress was not desirable. Key Words: Monitoring, Reconstruction, The 2003 Bam Earthquake, Satellite Image INTRODUCTION On 26 December 2003, an earthquake of magnitude 6.6 struck Bam, an old city in the southeast of Iran. Although it lasted for only few seconds, more than 22,391 people were killed (Eshghi et al. 2004). This earthquake damaged almost all the brick buildings, the famous historical construction Arg-e Bam, which is more than 2000-years old, and even modern buildings and city establishments. -1639-

Soon after the earthquake, a large amount of research works were carried out on the assessment of the earthquake damages and its impacts (Chiroiu 2005, Gusella et. al 2005, Kohiyama and Yamazaki 2005). However, less works have been done regarding the renewal and reconstruction during the last ten years after the earthquake. Generally, the process of reconstruction is an important part of disaster management that demonstrates the Government s efforts and capability to alleviate the hardship of a disaster and establish satisfaction for survivors (Murao et al. 2013). Therefore, investigating and understanding the process of reconstruction is a valuable measurement for the evaluation of government s performance. Hence in this study, we try to evaluate the renovation and reconstruction of Bam in the post-earthquake interval of ten years, by examining the current situation of the city including residential buildings, public establishments and other city infrastructures. FRAMEWORK OF THE RESEARCH The procedure employed in this study is divided into four parts. First, an examination of official statistics and reports provided by the authorities regarding the extent of damage to buildings and fatalities were collected. The status of buildings and their facilities before and after the earthquake, the type of structural frames used in each building before and after the earthquake were also collected. Second, we conducted a field survey of reconstructions based on the sets of field photos taken at three different times after the earthquake from the same locations, in order to compare the landscape and particularly observe performed changes in the physical environment. Following to that, we analyzed and compared two satellite images of the city regions before the earthquake, immediately after the earthquake and the present time to investigate significant changes in buildings, roads, vegetation covers and land use. Finally in the last section, we discussed the obtained results and findings to conclude and acknowledge weaknesses and shortcomings as well as strengths and ratings. STATISTICAL DATA Data caving and statistical analyses were conducted based on the data and information prepared by the Bam s Statistical Survey Center under the supervision of Iranian Statistical Center (2004). Urban planning and design of the city in the pre- and post-earthquake times were also evaluated based on the comprehensive and master plans provided by the Bam s municipality. The statistics regarding earthquake victims and damages are presented in Tables 1 and 2, respectively. According to the information available in the records of Civil Engineering Organization of Bam, starting immediately after earthquake in 2004 up to March 2014, 33126 permissions for construction have been issued and 26540 were executed. Also Iranian Statistical Center (2011) has announced 26708 residential units in 2011. This significant number of units in 2011 indicates the broad extent of reconstructions and the huge amount of budget allocated to this project. Since the Civil Engineering Organization of Bam claimed that they had monitored the construction process, it is expected that these structures show more resistance against similar level of earthquake ground motion in the future. -1640-

Table 1. Number of individuals before and after the 2003 earthquake (Source: Bam Earthquake Statistical Survey. 2004) Before EQ 89145 After EQ Dead Injured Missing Temporarily missing Survivors 22391 8136 422 3029 55167 Table 2. Number of buildings before and after earthquake (Source: Bam Earthquake Statistical Survey. 2004) Before EQ Immediately after EQ in 2004 28625 Destroyed Partially Damaged Intact 26111 2381 133 FIELD SURVEY A field survey in Bam was carried out during a research trip by the first author in March 2014. The photos of city reconstructions were collected in different locations by driving and walking in the city. The photo locations were selected based on the reference images that were previously prepared by different groups of investigators during the first month after the earthquake, and in May 2007 by the second author. We tried to match the geographical locations so that the landscape comparison becomes possible. The field survey revealed four main points. 1. The debris could still be seen in some damaged areas (Fig.1a). In addition in some regions, especially in the center and northern part of the city, debris had been removed, but construction has not been taken place and there are still bare lands. (Fig.1b) 2. Except for a few cases, almost all of the important public buildings, mosques, banks and other governmental offices were reconstructed (Fig. 2). Fig.1 Desolate building in the northeast of Bam and bare land in the center of Bam -1641-

3. Some of the buildings that have been highly damaged but not destructed, have been renewed and reused with the existing conditions (Fig. 3). 4. New buildings that not exist before the earthquake as a sport stadium, medical university, commercial-administrative complex, library and cultural center, and also a new residential region in the east and southeast of the city. (Fig. 4) (c) (d) Fig. 2 Comparison of some reconstructed buildings after the earthquake and in 2014. Fire station of Bam in January 2004 (left) and March 2014 (right). An alley near the Madani Street in the north of Bam in January 2004 (left) and March 2014 (right). (c) ZEYD Mosque in January 2004 (left) and March 2014 (right). (d) MASKAN Bank in January 2004 (left) and March 2007 (right). Fig. 3 A building in south of the city was severely damaged but was still used as in photos taken in January 2004 and March 2014-1642-

(c) (d) (e) (f) Fig. 4 New set of buildings consisting of medical university in 2014 City hall in 2007 (c) mosque in 2007 (d) a primary school in 2007 (e) sport stadium in 2014 (f) library in 2007 have been constructed in Bam, which did not exist before the earthquake. SATELLITE IMAGES We compare two sets of satellite images that captured the area including Bam city by QuickBird on September 30, 2003 and by GeoEye-1 on August 11, 2012. The regions of the city that were covered in this study were selected based on the previous work done by Hisada et al. (2004). They chose eight different aftershock observation stations in the city and evaluated the damages to buildings around the stations based on the EMS-98 criteria, and classified the buildings into five groups, G1 to G5, with respect to the degree of damages. Out of these stations, two stations (Fig. 5) that were partially damaged (station 1) and severely destructed (station 2) were selected. The estimation of damage in these two stations were consistent with the other studies (Yamazaki et al. 2005, Kohiyama and Yamazaki 2005, Rathje et al. 2005).Then the satellite images around the stations before (2003) and 8 years after (2012) the earthquake were compared to detect the changes in three major urban land covers: buildings, vegetation and ground. Subsequently, we classified the changes in land-covers into ten different categories, that are old building to new building, old building no change (remained from 2003), old building to vegetation, old building to ground, vegetation to new building, vegetation no change (remained from 2003), vegetation to ground, ground to new building, ground to vegetation, and ground no change (remained from 2003). Figure 6 shows the satellite images covering the station 1 in 2003 and 2012. The area and percentage for the three land-covers are presented under each image. A clear increase in the percentage of buildings and a decrease of ground in 2012 can be observed. Similarly, the changes in land-covers around the station 2 are depicted in Fig. 7. In this area, which was extensively destroyed after the earthquake, the land-covers for buildings and vegetation were decreased and those for ground increased significantly. In this area, located in the north part of the city, the amounts of empty lands are quite large, in other words, reconstruction is slow. Although -1643-

debris had been removed and the lands were smoothed, reconstruction has not yet started. Figure 8 shows the changes in land-cover before and after the earthquake in the two study areas. The total areas associated with each of these changes are tabulated in Table 3. The considerable changes of old buildings and ground into new buildings were again confirmed around the station 1. On the other hand, around the station 2, the large amount of land-cover changes from old buildings and vegetation into ground were recognized. Fig. 5 Location of Bam in Iran and two selected study areas around aftershock stations 2003 2012 (c) (d) Fig. 6 Satellite image and land-covers at the station 1 in 2003 and those in 2012. The area (m²) and percentage of buildings, vegetation and ground in (c) 2003 and (d) 2012. -1644-

2003 2012 (c) (d) Fig. 7 Satellite image and land-covers at the station 2 in 2003 and those in 2012. The area (m²) and percentage of buildings, vegetation and ground in (c) 2003 and (d) 2012. Fig. 8 Changes in land-cover from old building, vegetation, ground in 2003 into new buildings, old buildings, vegetation and ground in 2012 are shown in colors at two locations: around the station 1 and the station 2. -1645-

Table 3. Corresponding area changes (m 2 ) from 2003 to 2012 at the two locations around the station 1 2012 2003 New Building Old Building Vegetation Ground Old Building 142125 18639 0 4783 Vegetation 6215 ---- 30108 2485 Ground 36381 ---- 996 37201 2003 2012 around the station 2. New Building Old Building Vegetation Ground Old Building 172395 12486 0 98058 Vegetation 14437 ---- 8466 61354 Ground 13845 ---- 0 55013 DISCUSSION The observation from the field surveys and the satellite images indicated major findings. Firstly, most of the damaged structures have been reconstructed again in the previous locations. Meanwhile some of the buildings that were not seriously damaged were completely renewed. Also, new buildings (such as sport gym, commercial complex and etc.) have been established in the empty lands that provided new land use to the region. In some areas, vegetation and open green spaces have been destructed, most of where no construction has taken place and gardens changed to bare lands. It can be seen that although the total number of approved and reconstructed units in the city has increased in 2012 compared to 2003 (Table 1) the area of the empty lots and vacant lands, especially around the station 2 has vastly expanded. Despite the statistics there are still many vacant lands in the center and northern part of the city (Fig. 8b) that were previously inhabited however they have been left empty after the earthquake. This can be explained by the increase of unit numbers and population density in reconstructed areas. Most of the old buildings consisted of a single or two units, however after reconstruction, new buildings with more floor levels and units were established. Therefore the total number of constructed units has increased compared to the pre-earthquake time, even though the area of empty lands has also become larger. Specifically at the station 2, the amount of land converted from old buildings (OB) and vegetation (V) to empty ground (G) compared to the total area of vegetation (V), ground (G) and old buildings (OB) that converted to new buildings (NB) was considerably smaller than expected (almost half), which states the fact that reconstruction has not fully taken place. -1646-

Furthermore, although parts of vegetation have converted into new buildings (Fig. 8b), the amount of this change is not to that extent to be concerned about. The more concerning issue is the considerable amount of vegetation land that has become empty ground after the earthquake. With regard to the value of farms and gardens and the profits that could be made from these areas, and also considering the fact that most of the destroyed gardens are located in the largely-damaged areas such as (G4+G5)> 70% in Hisada et al. (2004), we can say that probably the owners of these lands were killed in the earthquake and thus nobody can restore and maintain the conditions of these gardens. CONCLUSION Urban reconstruction after an earthquake is the most important part of disaster management that is performed by governments. Studying on reconstruction processes is important for the evaluation of government s efforts and achievements. In this paper, the authors conducted a study on the reconstruction of Bam city in two designated areas after the earthquake of 2003, to monitor and evaluate this process. Results showed that at one study area, which was partially damaged, the total area of buildings has increased while the area of empty lands decreased and the area of green space did not changed. We can conclude that this region has not only been fully restored but has also been developed and improved. On the other hand, at another study area that was severely damaged, the total area of the buildings has decreased after the earthquake while the area of the vacant lands has distinctly increased. This increasing amount of bare lands is due to the destruction of gardens and also due to the lack of reconstruction of new houses. The results of the comparison between two satellite images taken in 2003 and 2012 indicated that there are significant differences in the reconstruction of the studied areas. This could represent either a miscalculation or a failure in the estimation of damages in the region or it could be due to another factor such as the grants or low-interest loans provided by the government that encouraged citizens to renovate their buildings. The latter seems more probable. In future, further monitoring of other areas of Bam is necessary to discover more details about the recovery process. REFRENCES Chiroiu, L., (2005) Damage Assessment of the 2003 Bam, Iran, Earthquake Using Ikonos Imagery Earthquake Spectra, Vol. 21, No. S1, pp. S219-S224 Eshghi, S., Zare, M., Naser Asadi, K., Seyed Razzaghi, M., Noorali Ahari, M., Motamedi, M. (2004). Reconnaisance Report on 26 December 2003 Bam Earthquake., International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran Gusella, L., Adams, B. J., Bitteli, C. K., Huyck, C. K., Mognol, A., (2005) Object-Oriented Image Understanding and Post-Earthquake Damage Assessment for the 2003 Bam, Iran, Earthquake Earthquake Spectra, Vol. 21, No. S1, pp. S225-S238 Hisada, Y., Shibaya, A., Ghayamghamian, M. R., (2004 ) Building Damage and Seismic Intensity in Bam City from the 2003 Iran, Bam, Earthquake Bull. Earthq. Res. Inst., Univ. Tokyo, Vol.79, pp.81-93 Kohiyama, M., Yamazaki, F., (2005) Damage Detection for 2003 Bam, Iran, Earthquake Using Terra-ASTER Satellite Imagery Earthquake Spectra, Vol. 21, No. S1, pp. S267-S274 Murao, O., Hoshi, T., Estrada, Sugiyasu, M. K., Matsuoka, M., Yamazaki, F., (2013) Urban -1647-

Recovery Process in Pisco After the 2007 Peru Earthquake Journal of Disaster Research, Vol. 8, No. 2, pp. 356-364 Rathje, E. M., Crawford, M., Woo, K., Neuenschwander, A., (2005) Damage Patterns from Satellite Images of the 2003 Bam, Iran, Earthquake Earthquake Spectra, Vol. 21, No. S1, pp. S295-S308 Statistical Center of Iran, Implementation of the 2011 Iranian Population and Housing Census In Autumn (24 October 13 November 2011), 2011 [On Line]. Available From: http://www.amar.org.ir/default.aspx?tabid=765 Statistical Center of Iran. Bam Earthquake Statistical Survey. 2004 [On Line]. Available From: http://amar.sci.org.ir/detail.aspx?ln=f&no=201629&s=gw Yamazaki, F., Y. Yano, M. Matsuoka, (2005). Visual Damage Interpretation of Buildings in Bam City Using QuickBird Images Following the 2003 Bam, Iran, Earthquake, Earthquake Spectra, Vol.21, No. S1, pp. S329 S336. -1648-