Post-Disaster Private Well Water Contamination with Geosocial Network: A Case Study of Post-Hurricane Harvey

COMPUTING IN CIVIL ENGINEERING 2023-RESILIENCE, SAFETY, AND SUSTAINABILITY(2024)

引用 0|浏览6
暂无评分
摘要
The prevalence of natural hazards and extreme climatic events highlights the critical importance of disaster recovery for communities. In this study, we examine the impact of Hurricane Harvey on private well water in Texas and explore the relationship between the contamination of well water, stewardship behavior, and demographic and social capital characteristics. We develop a multi-level regression model that shows bonding and linking social capital index, median house income, owner-occupied houses' percentage, and the percentage of households speaking only English correlate with people's vulnerability to unsafe drinking water supplies. We validate the results through a partial dependence framework built upon a random forest model. Our study provides valuable insights to address issues of fairness and vulnerability in society and foster resilience and preparedness in the face of shocks and hazards.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要