Assessing the Urban Heat Island Effect in New York City
Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Collection Information
This item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.Abstract
This paper investigates the Urban Heat Island (UHI) effect in New York City (NYC) by analyzing temperature data from 2016 and 2023. The aim is to compare the seven-year changes and forecast UHI conditions for 2030, considering the implications of climate change and urbanization. Using a comprehensive methodology, an interactive web application is developed to map the UHI phenomenon in NYC. Python and Node.js are utilized for web development, integrating OpenStreetMap, US Census and ZIP Code data for the basemap. Z-score calculations are conducted using Land Surface Temperature (LST) data to quantify temperature differences between urban and rural areas. Analysis of Urban vs. Rural Temperature incorporates LST data, air temperature measurements, day/night temperature patterns, and seasonal temperature patterns. Hot spot analysis identifies areas with significant temperature anomalies based on air-related data. By analyzing the temperature data from 2016 and 2023, this study provides insights into UHI intensity changes and spatial patterns over the seven-year period. Findings inform predictions of UHI conditions in 2030, which hold environmental significance. Implications for energy consumption, human health, and urban livability are examined, facilitating informed decision-making for sustainable urban design and UHI mitigation strategies.Type
Electronic Reporttext