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主动补救:在密歇根弗林特寻找铅管道

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
课程网址: http://videolectures.net/kdd2018_chojnacki_activeRemediation/  
主讲教师: Alex Chojnacki
开课单位: 密歇根大学
开课时间: 2018-11-23
课程语种: 英语
中文简介:
我们详细介绍了我们在密歇根州弗林特市进行的检测铅和其他有害金属管道的工作。在居民饮用水中检测到铅含量升高,随后该地区儿童血铅含量升高后,州和联邦政府拨款1.25亿美元更换供水管道,将每个家庭连接到供水系统。在缺乏准确记录的情况下,由于确定埋地管道材料的成本较高,我们提出了一些预测性和程序性工具,以帮助搜索和移除铅基础设施。除了这些统计和机器学习方法外,我们还介绍了我们与政府官员在推荐房屋进行检查和更换方面的互动,重点是适应传入信息的统计模型。最后,根据联邦政府关于增加基础设施建设支出的讨论,我们探讨了我们的方法如何将弗林特以外的城市推广到全国其他城市。
课程简介: We detail our ongoing work in Flint, Michigan to detect pipes made of lead and other hazardous metals. After elevated levels of lead were detected in residents’ drinking water, followed by an increase in blood lead levels in area children, the state and federal governments directed over $125 million to replace water service lines, the pipes connecting each home to the water system. In the absence of accurate records, and with the high cost of determining buried pipe materials, we put forth a number of predictive and procedural tools to aid in the search and removal of lead infrastructure. Alongside these statistical and machine learning approaches, we describe our interactions with government officials in recommending homes for both inspection and replacement, with a focus on the statistical model that adapts to incoming information. Finally, in light of discussions about increased spending on infrastructure development by the federal government, we explore how our approach generalizes beyond Flint to other municipalities nationwide.
关 键 词: 其他有害金属管道; 儿童血铅含量升高; 适应传入信息的统计模型
课程来源: 视频讲座网
数据采集: 2023-02-15:cyh
最后编审: 2023-03-06:cyh
阅读次数: 23