Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption
Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption
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通过众包降雨数据收集提高洪水抵御能力：日益增长的参与度面临着不统一的空间采用
DOI：
10.1016/j.jhydrol.2022.127724
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发表时间：
2022
影响因子：
6.4
通讯作者：
Zhang, Zihao
中科院分区：
文献类型：
--
作者：
Chen, Alexander B.;Goodall, Jonathan L.;Chen, T. Donna;Zhang, Zihao
众包个人气象站（PWSs）的采用正在迅速增长，并提供了填补超局部降雨观测空白的潜力。然而，当前的采用模式表现出空间偏差，在使用数据进行建模和决策时必须理解这一点。在此，我们首先考察了美国12个大都市HUC-12流域的PWS降雨空间表征。此外，通过使用人口普查区水平的社会经济和洪水相关数据对PWS的采用进行建模，结果表明，目前的采用模式呈现出向富裕社区和洪水易发地区倾斜的空间倾向。研究结果为如何制定政策来分配资源以改善pws代表性不足地区的降雨数据收集工作提供了见解。随着众包数据越来越多地用于决策者的决策，努力缩小目前不统一的PWS空间采用的差距，将使众包降雨数据更好地支持决策者的洪水恢复工作。
Crowdsourced Personal Weather Stations (PWSs) adoption has been growing rapidly and provides the potential to fill in hyper-local rainfall observation gaps. However, current adoption patterns exhibit spatial biases that must be understood when using the data for modeling and decision-making. Here, we first examine the PWS rainfall spatial representation at HUC-12 watersheds in twelve metropolitan areas in the U.S. Furthermore, by modeling the PWS adoption using socio-economic and flood-related data at census tract level, the results suggest current adoption patterns exhibit spatial biases toward wealthier neighborhoods and flood-prone regions. The findings provide insights to inform how policies could be made to distribute resources to improve the rainfall data collection efforts in PWS-underrepresented regions. As crowdsourced data are increasingly used for decision-making by policymakers, efforts to close the gap in current non-uniform PWS spatial adoption will allow crowdsourced rainfall data to be better positioned to support decision-makers in their flood resilience efforts.