An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples-Reference-Cited by-同舟云学术

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An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples

Published:2022-01 Issue: Volume:805 Page:150130
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Oliveira Ana,Lopes António,Niza Samuel,Soares Amílcar

Funder

Fundacao para a Ciencia e a Tecnologia

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference106 articles.

1. Characterization of the urban heat island at Toronto: revisiting the choice of rural sites using a measure of day-to-day variation;Anderson;Urban Clim.,2018

2. Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review;Anderson;Int. J. Biometeorol.,2021

3. From urban meteorology, climate and environment research to integrated city services;Baklanov;Urban Clim.,2018

4. An Atmospheric Correction Parameter Calculator for a Single Thermal Band Earth-sensing Instrument;Barsi,2004

5. Validation of a web-based atmospheric correction tool for single thermal band instruments;Barsi,2005

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2. Investigation of Solar Energy for Urban Areas and Metropolitan Communities Using Machine Learning;Electric Power Components and Systems;2023-12-27

3. Predicting Urban Heat Island severity on the census-tract level using Bayesian networks;Sustainable Cities and Society;2023-10

4. Unveiling the Dynamics of Thermal Characteristics Related to LULC Changes via ANN;Sensors;2023-08-07

5. Evaluating the Spatial and Temporal Characteristics of Summer Urban Overheating through Weather Types in the Attica Region, Greece;Sustainability;2023-07-05

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