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Monitoring urban heat island intensity based on GNSS tomography technique

Xia, Pengfei; Peng, Wei; Yuan, Peng 1; Ye, Shirong
1 Geodätisches Institut (GIK), Karlsruher Institut für Technologie (KIT)

Abstract:

Monitoring urban heat island (UHI) effect is critical because it causes health problems and excessive energy consumption more energy when cooling buildings. In this study, we propose an approach for UHI monitoring by fusing data from ground-based global navigation satellite system (GNSS), space-based GNSS radio occultation (RO), and radiosonde. The idea of the approach is as follows: First, the first and second grid tops are defined based on historical RO and radiosonde observations. Next, the wet refractivities between the first and second grid tops are fitted to higher-order spherical harmonics and they are used as the inputs of GNSS tomography. Then, the temperature and water vapor partial pressure are estimated by using best search method based on the tomography-derived wet refractivity. In the end, the UHI intensity is evaluated by calculating the temperature difference between the urban regions and nearby rural regions. Feasibility of the UHI intensity monitoring approach was evaluated with GNSS RO and radiosonde data in 2010–2019, as well as ground-based GNSS data in 2020 in Hong Kong, China, by taking synoptic temperature data as reference. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000167330
Veröffentlicht am 16.05.2024
Originalveröffentlichung
DOI: 10.1007/s00190-023-01804-3
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 01.2024
Sprache Englisch
Identifikator ISSN: 0949-7714, 0007-4632, 1432-1394
KITopen-ID: 1000167330
Erschienen in Journal of Geodesy
Verlag Springer-Verlag
Band 98
Heft 1
Vorab online veröffentlicht am 19.12.2023
Nachgewiesen in Scopus
Dimensions
Web of Science
Globale Ziele für nachhaltige Entwicklung Ziel 11 – Nachhaltige Städte und Gemeinden
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