Publications by authors named "A Martilli"
Article Synopsis
- - Recently, air quality has gained significant attention from global policymakers, leading to efforts aimed particularly at reducing pollution from road transport in urban areas.
- - Studies emphasize the need to factor in external influences, especially weather conditions, as they can significantly affect the effectiveness of strategies meant to improve air quality.
- - Simulations in southern Madrid reveal that, despite a 50% reduction in local emissions from 2016 to 2019, higher nitrogen oxide levels were recorded due to poorer meteorological conditions, and the impact of Low Emission Zones on pollution can vary greatly depending on these conditions.
We utilized city-scale simulations to quantitatively compare the diverse urban overheating mitigation strategies, specifically tied to social vulnerability and their cooling efficacies during heatwaves. We enhanced the Weather Research and Forecasting model to encompass the urban tree effect and calculate the Universal Thermal Climate Index for assessing thermal comfort. Taking Houston, Texas, and United States as an example, the study reveals that equitably mitigating urban overheat is achievable by considering the city's demographic composition and physical structure.
View Article and Find Full Text PDFWe introduce University of Texas - GLObal Building heights for Urban Studies (UT-GLOBUS), a dataset providing building heights and urban canopy parameters (UCPs) for more than 1200 city or locales worldwide. UT-GLOBUS combines open-source spaceborne altimetry (ICESat-2 and GEDI) and coarse-resolution urban canopy elevation data with a machine-learning model to estimate building-level information. Validation using LiDAR data from six U.
View Article and Find Full Text PDFSpatially Explicit Correction of Simulated Urban Air Temperatures Using Crowdsourced Data.
J Appl Meteorol Climatol
November 2023
Article Synopsis
- - The study highlights the potential of personal weather sensors (PWSs) to improve urban climate models by providing trusted and quality-checked weather observations, addressing the lack of representative urban data.
- - By simulating air temperatures during the 2018 summer in London and comparing them to measurements from 402 PWSs, the researchers identified a problematic cool bias in the model that was not evident from official weather stations.
- - Utilizing machine learning, the study introduced a novel bias-correction technique to more accurately adjust urban temperature predictions, showing significant improvements in daily temperature metrics and recommending further research on integrating PWS data for urban climate modeling.
Urban air pollution is one of the most important environmental problems for human health and several strategies have been developed for its mitigation. The objective of this study is to assess the impact of single and combined mitigation measures on concentrations of air pollutants emitted by traffic at pedestrian level in the same urban environment. The effectiveness of different scenarios of green infrastructure (GI), the implementation of photocatalytic materials and traffic low emission zones (LEZ) are investigated, as well as several combinations of LEZ and GI.
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