Development of estimation method of asbestos-containing waste generation by an earthquake -The case in Sendai City in the East Japan Great Earthquake-

Nobuhiro Kawabata; Yasuhiro Hirai; Shin-ichi Sakai; Misuzu Asari (2014) Proceedings of 3RINCs and SWAPI 2014, pp. P1-29

   Our objective is to develop an estimation method on asbestos-containing waste generation by an earthquake. As a case study, we estimated asbestos-containing waste generation from buildings damaged by the East Japan Great Earthquake in Sendai City.
   First, we estimated existing total floor area according to structure, constructed year, and use of buildings. Existing total floor area is estimated from data of construction started area and the building survival rate. Building survival rate is cited from the study of Komatsu et al.
   Then, asbestos-material stock is estimated by multiplying estimated total floor area by per unit use of material. Per unit use of material is calculated as division of shipping volume of materials by floor area of constructed building which is presumed that the material is used. As a validation data, material input in Sendai was estimates based on the total shipping volume of construction materials in Japan and the ratio of construction floor area between Sendai and Japan. Comparison of the material stock estimates and the material input estimates revealed that some material stocks were overestimated.
   Estimated material stock is divided into 1 km by 1 km grid square, and waste generation of asbestos material is calculated by multiplying material stock by damage rate of buildings in the earthquake intensity in the grid. Damage rate of buildings is cited from Cabinet Office, Government of Japan, earthquake intensity map is cited from QuiQuake.
   As a result, estimated asbestos-material waste generation is a little less than 20,000 tons. It is about 30% of the actual disposal weight of boards and roof tiles in Sendai, which is 58,000 tons and contains both asbestos waste and no-asbestos waste.


Asbestos; Disaster waste; Square grid; Estimation of waste