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道路網のGISデータに基づく上水道管路の分布推定
https://nied-repo.bosai.go.jp/records/4860
https://nied-repo.bosai.go.jp/records/48609e47bfe7-4a4a-48e4-8097-f50dba2d0785
Item type | researchmap(1) | |||||||||||||||||
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公開日 | 2023-03-30 | |||||||||||||||||
タイトル | ||||||||||||||||||
言語 | ja | |||||||||||||||||
タイトル | 道路網のGISデータに基づく上水道管路の分布推定 | |||||||||||||||||
タイトル | ||||||||||||||||||
言語 | en | |||||||||||||||||
タイトル | Estimation of Water-Pipeline Length from GIS Road Network Data | |||||||||||||||||
言語 | ||||||||||||||||||
言語 | jpn | |||||||||||||||||
著者 |
小林 朋美
× 小林 朋美
× 山崎 文雄
× 丸山 喜久
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抄録 | ||||||||||||||||||
内容記述タイプ | Other | |||||||||||||||||
内容記述 | <p>Damage estimation for scenario earthquakes is conducted by local governments for emergency response planning. However, local governments usually do not possess detailed data of utility pipelines and hence, they generally estimate the distribution of pipeline length. A problem of this approach is that the accuracy of pipeline length estimation is not so high. This study tries to perform the estimation of water-pipeline data for more accurate earthquake damage assessments. The method to estimate the pipeline length is proposed from road network data by using GIS for densely inhabited districts (DIDs). But outside of DIDs, buildings data must be introduced in addition to road network data as parameters to estimate water-pipeline lengths in grid cells.</p> | |||||||||||||||||
言語 | ja | |||||||||||||||||
抄録 | ||||||||||||||||||
内容記述タイプ | Other | |||||||||||||||||
内容記述 | <p>Damage estimation for scenario earthquakes is conducted by local governments for emergency response planning. However, local governments usually do not possess detailed data of utility pipelines and hence, they generally estimate the distribution of pipeline length. A problem of this approach is that the accuracy of pipeline length estimation is not so high. This study tries to perform the estimation of water-pipeline data for more accurate earthquake damage assessments. The method to estimate the pipeline length is proposed from road network data by using GIS for densely inhabited districts (DIDs). But outside of DIDs, buildings data must be introduced in addition to road network data as parameters to estimate water-pipeline lengths in grid cells.</p> | |||||||||||||||||
言語 | en | |||||||||||||||||
書誌情報 |
ja : 地域安全学会論文集 en : Journal of Social Safety Science 巻 21, 号 0, p. 267-274, 発行日 2013 |
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出版者 | ||||||||||||||||||
言語 | ja | |||||||||||||||||
出版者 | 一般社団法人 地域安全学会 | |||||||||||||||||
出版者 | ||||||||||||||||||
言語 | en | |||||||||||||||||
出版者 | Institute of Social Safety Science | |||||||||||||||||
ISSN | ||||||||||||||||||
収録物識別子タイプ | ISSN | |||||||||||||||||
収録物識別子 | 1345-2088 | |||||||||||||||||
DOI | ||||||||||||||||||
関連識別子 | 10.11314/jisss.21.267 |