2016 年厄瓜多尔马纳比省地震后回收的废物数据集,用于回收和再利用

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-09-18 DOI:10.1016/j.dib.2024.110953
Elvira Rodríguez-Ríos
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引用次数: 0

摘要

2016 年 4 月 16 日厄瓜多尔地震产生了大量废墟和废物。本数据集包含有关回收和再利用灾害材料的数据。数据是通过对 2016 年地震废墟和废物的废品经销商(n = 62)进行普查调查收集的。编制本数据集的目的是为了展示 2016 年地震期间产生的地震垃圾,并将其与灾前的 2015 年和收集数据时的 2019 年进行比较。回收的灾难材料包括塑料、金属、纸板、纸张、玻璃、其他可回收材料和再利用材料。同样,通过该数据库,我们可以观察到中小型废品企业在废品经销商从事灾害物资商业交易时的时间反应,该数据集显示了灾害废品回收的流程阶段。此外,数据集还包括地震后废品收购企业的利润认知和实际收益。考虑到所产生的大量废物和废墟,该数据库可为评估作为灾后恢复重要任务的灾害废物管理提供有用的数据。
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Dataset on recovered waste post-earthquake 2016 in Manabi Province, Ecuador for recycling and reuse
The earthquake in Ecuador on 16 April 2016 generated large volumes of debris and waste. This dataset contains data on recovered and reused disaster materials. Data were collected through a census survey of the scrap dealers of earthquake 2016 debris and waste (n = 62). This dataset was compiled to demonstrate how earthquake waste was generated during the 2016 earthquake and compare it with the pre-disaster period 2015 and the 2019 current when the data were collected. The recovered disaster materials include plastic, metal, cardboard, paper, glass, other recyclable materials, and reused materials. Likewise, the database allows us to observe the time response of medium- and small-sized scrap businesses as scrap dealers engage in the commercial transaction of disaster materials, and this dataset shows the process phases of recovering disaster waste. In addition, the dataset includes profit perceptions and factual earnings from scrap businesses after an earthquake. Considering the significant volume of waste and debris generated, this database can provide useful data for evaluating disaster waste management as an important task in post-disaster recovery.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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