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Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.
Version 1
: Received: 31 August 2023 / Approved: 1 September 2023 / Online: 6 September 2023 (14:33:20 CEST)
How to cite:
Tomatis, F.; Diez, F.J.; Wilhelm, M.S.; Navas-Gracia, L.M. Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.. Preprints2023, 2023090404. https://doi.org/10.20944/preprints202309.0404.v1
Tomatis, F.; Diez, F.J.; Wilhelm, M.S.; Navas-Gracia, L.M. Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.. Preprints 2023, 2023090404. https://doi.org/10.20944/preprints202309.0404.v1
Tomatis, F.; Diez, F.J.; Wilhelm, M.S.; Navas-Gracia, L.M. Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.. Preprints2023, 2023090404. https://doi.org/10.20944/preprints202309.0404.v1
APA Style
Tomatis, F., Diez, F.J., Wilhelm, M.S., & Navas-Gracia, L.M. (2023). Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.. Preprints. https://doi.org/10.20944/preprints202309.0404.v1
Chicago/Turabian Style
Tomatis, F., M. Sol Wilhelm and Luis Manuel Navas-Gracia. 2023 "Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain." Preprints. https://doi.org/10.20944/preprints202309.0404.v1
Abstract
Cities exemplify the evolving world with changing demographics and climates. Urban green spaces play a crucial role in improving the quality of life of people through their potential to mitigate temperatures. Therefore, comprehending their impact is of para-mount interest. Given the challenges in obtaining temperature data from urban locations, this study develops Artificial Neural Networks (ANNs) to predict daily and hourly temperatures in Valladolid, Spain, with a particular focus on urban allotment gardens and a forested urban park. ANNs were built and evaluated from various combinations of inputs (X), hidden neurons (Y) and outputs (Z) under the practical rule of "making net-works simple, to obtain better results". The best performing model was 6-Y-1 ANN archi-tecture with an impressive result of Root Mean Square Error (RMSE) = 0.42°C in the urban garden called Valle de Arán. However, other five ANN architectures were also tested (7-Y-5; 6-Y-5; 7-Y-1; 3-Y-Z and 2-Y-1). ANNs dedicated to urban temperature analysis hold immense potential for urban planning and research, aiding in under-standing the urban climate, forecasting future temperatures, identifying temperature mitigation strategies and even for managing urban crops
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
